High deflection sensitivity of micro-cantilever is one of the important criteria for cantilever being used as a sensor as well as an actuator. Also resonance frequency of these sensors needs to be higher for biosensing applications. Varying thickness cantilever satisfy these desired criteria as compared to constant thickness micro-cantilever of similar length and width. Deflection sensitivity of polymer based cantilever is further enhanced by its low value of Young’s Modulus. Among various techniques of detection, piezoresistive based technique is treated as the most suitable detection technique for micro-cantilever in bio-sensing applications. Taking all these aspects into consideration, this paper presents design of varying thickness micro-cantilever and its simulations.The proposed varying thickness cantilever consists of strain sensing embedded piezoresistive material. The study also presents the optimization of dimensions of multi-layer varying thickness micro-cantilever with objective of high sensitivity and resonance frequency. The paper also presents the fabrication methodology and materials for fabrication of varying thickness multilayer varying thickness micro-cantilever. The electromechanical and mechanical performance characterization of this micro-cantilever is further evaluated. This paper uses Finite Element Method (FEM) to obtain the performance of piezoresistive micro-cantilever sensor by optimizing the geometrical dimensions of both cantilever and piezoresistor. CoventorWare a commercial FEM tool for MEMS device design and simulation is used for this work. It is observed that the deflection sensitivity, change in resistance due to stress for this proposed micro-cantilever is quite higher than the normal rectangular micro-cantilever.
- Page(s): 01-07
- Date of Publication: 20 July 2017
- P.V KasambeElectronics Engineering Department, S.P.I.T., Andheri (W), Mumbai-400058, India.
- K. S. BholeMechanical Engineering Department, S.P.C.E., Andheri (W), Mumbai-400058, India.
- D. V. BhoirElectronics Engineering Department, Fr. C.R.C.E., Bandra-400050, India.
References
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Ramgopal Rao, “Polymeric Piezoresistive Microcantilevers with Reduced Electrical Variability,” IEEE Journal of Microelectromechanical Systems, Vol. 24, No. 4, August 2015, pp 1111-1116. [5]. Holger Gerdes, Ralf Bandorf, Ulrike Heckmann, Volker Schmidt, Hans-Ulrich Kricheldorf, Gunter Brauer, “Sputter Deposition of Strain Gauges Using ITO/Ag,” Journal ofPlasma Process, Polym. 2009, 6, pp S813–S816. [6]. A. Wisitsoraat, V. Patthanasetakul, T. Lomas, A. Tuantranont, “Low cost thin film based piezoresistive MEMS tactile sensor,” Journal Sensors and Actuators, Elsevier, A 139, 2007, pp 17–22. [7]. Deep Kishore Parsediya, Jawar Singh, Pavan Kumar Kankar, “Variable width based stepped MEMS cantilevers for micro or pico level biosensing and effective switching,” Journal of Mechanical Science and Technology, 2015, Vol 29, Issue 11, pp 4823–4832. [8]. Mohd Zahid Ansari and Chongdu Cho, “Deflection, Frequency, and Stress Characteristics of Rectangular, Triangular, and Step Profile Microcantilevers for Biosensors,” Sensors 2009, 9, pp 6046-6057. [9]. Vinod B. Suryawanshi, Ajit D. Kelkar, “Design and Development of Constant Stress Composite Cantilever Beam,” World Academy of Science, Engineering and Technology, Proc. of International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering Vol 9, No 2, 2015, pp 117-121. [10]. V. Seena, Anukool Rajorya, Prita Pant, Soumyo Mukherji, V. Ramgopal Rao, “Polymer Microcantilever Biochemical Sensors with Integrated Polymer Composites for Electrical Detection,” Vol 11, Issue 9, 2009, pp 1606–1611. [11]. Amritha Rammohan, Prabhat K. Dwivedi, Rodrigo Martinez-Duarte, Hari Katepalli, Marc J. 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Kundu “On the evolution of cured voxel in bulk photopolymerization upon focused Gaussian laser exposure,” Journal of Applied Physics 116, 2014, pp 043105-1-10. [17]. Kiran Bhole, Sunil Ekshinge and Prasanna Gandhi, “Fabrication of Continuously Varying Thickness Micro-Cantilever Using Bulk Lithography Process,” Proc. of ASME 2014, Volume 1, Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, Detroit, Michigan, USA, 2014, pp 1-8. [18]. V. Kudryashova, X. C. Yuana, W. C. Cheonga, K. Radhakrishnana, “Grey scale structures formation in SU-8 with e-beam and UV,” Journal of Microelectronic Engineering 67–68, 2003, pp 306–311. [19]. M. Gersborg Hansen, L.H. Thamdrup, A. Mironov and A. Kristensen, “Combined electron beam and UV lithography in SU-8,” Journal of Microelectronic Engineering, Volume 84, Issues 5–8, 2007, pp 1058–1061. [20]. 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P.V Kasambe, K. S. Bhole, D. V. Bhoir "Performance Evaluation of Embedded Strain Sensing Varying Thickness Polymer Micro-cantilever as Biosensor Platform" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.01-07 2017
Isomorphism identification of kinematic chain is one challenging problem in the field of mechanism. This paper attempts to solve the problem of isomorphism among kinematic chains with the help of squared shortest path distance [SSPD] matrix. In this method the given KC’s are represented in the form of squared shortest path distance matrix [SSPD]. The sum of all elements of [SSPD] matrix is considered as an invariant of a kinematic chain which may used to detect isomorphism. With the help of these invariant/identification code the isomorphism among the kinematic chains are identified. No counterexample has been found. The proposed method is efficient and accurate and only one [SSPD] matrix for a given kinematic chain is sufficient to identify isomorphism. This method is examined for one degree of freedom (1-DOF), 6, 8, 10 links planar kinematic chains and 9 links 2-DOF planar kinematic chains. .
- Page(s): 08-12
- Date of Publication: 20 July 2017
- Mohd Shadab Alam Phd Students of Deptt. of Mechanical Engineering J. M. I., New Delhi-25, India
- Mohd. SuhaibProfessor, Mechanical Engg. Deptt. F/O Engg & Tech. J. M. I., New Delhi-25, India
- Aas MohdProfessor, Mechanical Engg. Deptt. F/O Engg & Tech. J. M. I., New Delhi-25, India
References
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Mohd Shadab Alam, Mohd. Suhaib and Aas Mohd "Squared Shortest Path Distance [SSPD] Matrix Approach to Identify Isomorphic and Non- Kinematic Chains" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.08-12 2017
The problem of water pollution is alarming due to various anthropogenic activities. Heavy metals are being released in the water bodies causing heavy metal pollution and also accumulate in the food chain and ultimately affecting human health. Various activities like manufacturing of fertilizers, industrialization, mining, electroplating, smelters etc are responsible for the release of heavy metals in the water bodies. Various heavy metals include Pb, Cd, Cu, Zn, Ni, Cr, and metalloids like arsenic in drinking water causes harmful effects on human health like allergies, hyper pigmentation, skin cancer, neurological disorders, hypertension, cardiovascular diseases, etc. Therefore there is a need to develop and focus on methods to remove heavy metals from the waste water using techniques which are environment friendly, cost-effective and easily available in nature. Bioadsorbents have come up as one of the promising substitute for heavy metal removal because it is readily available in nature and most importantly the waste residues from agricultural activities is utilized in the manufacturing of bioadsorbent for heavy metal ion removal. Various agricultural residues used to remove metal ions are rice husk, sawdust, peanut husk, groundnut husk, wheat bran, sugarcane bagasse, pine needle, salseed husk, coconut coir, cotton stalks etc. The main objective of this paper is to study about bio-adsorbents derived from agricultural wastes and their applications to remove metal ions from waste water.
- Page(s): 13-20
- Date of Publication: 20 July 2017
- Aakriti VermaAmity School of Earth and Environmental Science, Amity University, Haryana, India
- Kushagra RejendraAmity School of Earth and Environmental Science, Amity University, Haryana, India
- Kalpana SinghGreater Noida Institute of Technology, Uttar Pradesh, India
- Sudeep ShuklaAmity School of Earth and Environmental Science, Amity University, Haryana, India
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Adsorptive removal of phenol by bagasse fly ash and activated carbon: equilibrium, kinetics and thermodynamics. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 272(1), 89-104. [82]. Sud, D., Mahajan, G., &Kaur, M. P. (2008). Agricultural waste material as potential adsorbent for sequestering heavy metal ions from aqueous solutions–A review. Bioresource technology, 99(14), 6017-6027. [83]. Tchounwou, P. B., Yedjou, C. G., Patlolla, A. K., & Sutton, D. J. (2012). Heavy metal toxicity and the environment. In Molecular, clinical and environmental toxicology (pp. 133-164). Springer Basel. [84]. Tripathi, A., &Ranjan, M. R. (2015). Heavy Metal Removal from Wastewater Using Low Cost Adsorbents. Journal of Bioremediation & Biodegradation,2015. [85]. Ujang, Z., & Anderson, G. K. (1996). Application of low-pressure reverse osmosis membrane for Zn2+ and Cu2+ removal from wastewater. Water Science and Technology, 34(9), 247-253. [86]. Un, U. T., & Ocal, S. E. (2015). 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Colon-specific drug delivery: new approaches and in vitro/in vivo evaluation. International Journal of Pharmaceutics, 235(1), 1-15. [93]. Yetimoğlu, E. K., Kahraman, M. V., Ercan, Ö., Akdemir, Z. S., &Apohan, N. K. (2007). N-vinylpyrrolidone/acrylic acid/2-acrylamido-2-methylpropane sulfonic acid based hydrogels: synthesis, characterization and their application in the removal of heavy metals. Reactive and Functional Polymers, 67(5), 451-460. [94]. Yun, J., Jin, D., Lee, Y. S., & Kim, H. I. (2010). Photocatalytic treatment of acidic waste water by electrospun composite nanofibers of pH-sensitive hydrogel and TiO 2. Materials Letters, 64(22), 2431-2434. [95]. Yuvaraja, G., Krishnaiah, N., Subbaiah, M. V., &Krishnaiah, A. (2014). Biosorption of Pb (II) from aqueous solution by Solanummelongena leaf powder as a low-cost biosorbent prepared from agricultural waste. Colloids and Surfaces B: Biointerfaces, 114, 75-81. [96]. Zhang, J., & Wang, A. (2010). 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Aakriti Verma , Kushagra Rejendra, Kalpana Singh, Sudeep Shukla "Use of Low Cost Adsorbents for the Remediation of Heavy Metals from Waste Water " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.13-20 2017
Biodiesel is generally produced from various seed oils such as soybeans, rapeseed and corn. Such a diesel can be used in cars, trucks, busses, construction equipment, in jet engines and in heating and electricity generating systems, but only through blends with maximum blend up to 25% (v/v) Biofuels burn cleaner than fossil fuels. They don't produce sulphur or aromatics. Main benefit of using biodiesel is that, it reduces nitrogen oxide emissions compared to fossil fuel. This article reviews different sources for the production of biodiesel. Biodiesel is environmentally safer than petro-diesel. It is non-toxic, produces less skin irritation, it degrades four times as fast as petro-diesel, has a flash point significantly higher than that of petro diesel, thus making it safer to store and handle.
- Page(s): 21-25
- Date of Publication: 20 July 2017
- Pravinkumar D Patil Chemical Technology Division, Department of Technology, Shivaji University, Kolhapur, 416004, India
- Masoomraja Z Mulla Energy Technology Division, Department of Technology, Shivaji University, Kolhapur, 416004, India
References
Pravinkumar D Patil, Masoomraja Z Mulla "Review on Different Sources for the Production of Biodiesel " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.21-25 2017
Packaging plays a significant role to provide safety to the products. At the time of storage and transportation, cartons are stacked one above the other and subjected to compressive forces which lead to the crumbling of corrugated boxes. Box design is an important perimeter to consider while manufacturing of the boxes to make sure the box compression strength of the boxes satisfies the requirement. In this paper, we study the effect of keeping the box square in shape irrespective of the height, on the compression strength of the box when compared to a rectangular box (non square) of the same perimeter. This may help us in making a more informed design decision when it comes to production of corrugated boxes.
- Page(s): 26-28
- Date of Publication: 20 July 2017
- Tanul MaheshwariDepartment of Printing and Media Technology, Manipal Institute of Technology, Manipal, Karnataka, India
- Ramnath Shenoy Department of Printing and Media Technology, Manipal Institute of Technology, Manipal, Karnataka, India
References
[1]. Ramnath Shenoy, Chirag M, Vinod Kumar A, Tanul Maheshwari, “Determining the Relationship between E Flute Corrugated Board Properties and its Box Compression Strength”, International Journal of Research and Innovation in Applied Science (IJRIAS),Volume I, Issue IX, December 2016. [2]. Ramnath Shenoy, Tanul Maheshwari, “A Study on the Relationship between Corrugated Box Perimeter and its Compression Strength for 3 Ply Box of A, B & E Flute Profile using Simplified McKee Formula and Mini Carton Compression Tester”, GE-International Journal of Engineering Research, Associated Asia Research Foundation (AARF), Volume V, Issue VI, June 2017 [3]. Aaron L. Brody & Kenneth S. Marsh, “Encyclopaedia of Packaging Technology”, Second Edition, A Wiley-Interscience Publication, Hoboken, NJ, 1997 [4]. Dept. of Printing and Media Engineering, MIT, Quality Testing Lab manual, Manipal, 2013. [5]. Niir Board, “Hand Book on Modern Packaging Industries”, Asia Pacific Business Press Inc., Delhi, 1998.
Tanul Maheshwari, Ramnath Shenoy "A Study of the Effect of Squareness of the Corrugated Box on its Box Compression Strength" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.26-28 2017
Micropumps are used extensively in biomedical field and are finding its way to other areas. Development in micropumping technology is necessary, in a time where electronics is moving towards the nano scale and its conventional cooling is useless, and where the biomedical science is opting for less insidious surgical procedures and more precise drug delivery methods. In this paper, 3D model of a micro electromagnetic pump was created and its electromagnetic and mechanical analysis was performed. The parts of the conventional micropump were replaced with compatible MEMS materials and analysed. A 3D model of pump’s diaphragm was also created using Ansys and its mechanical analysis was done with the various electromagnetic forces obtained from the electromagnetic analysis. These analysis were done with first the diaphragm material as Polyimide and then as PDMS. Comparisons were also performed with diaphragm deflection corresponding to the various micropump configurations taken.
- Page(s): 29-33
- Date of Publication: 20 July 2017
- Gijoy SDepartment of Mechanical Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum, Kerala, India
- Abhilash S SDepartment of Mechanical Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum, Kerala, India
- Manu KrishnanUG Student, Department of Mechanical Engineering, Sree Chitra Thirunal College of Engineering, Trivandrum, Kerala, India
References
[1] Balaji, G., Singh, A., & Ananthasuresh, G. K. (2006). Electro-magnetically Actuated Minute Polymer Pump Fabricated using Packaging Technology. Journal of Physics: Conference Series, 34, 258-263. doi:10.1088/1742-6596/34/1/043 [2] Chang, H., Lee, C., & Wen, C. (2006). Design and modeling of electromagnetic actuator in mems-based valveless impedance pump. Micro system Technologies, 13(11-12), 1615-1622. doi:10.1007/s00542-006-0332-7 [3] Gong, Q., Zhou, Z., Yang, Y., & Wang, X. (2000). Design, optimization and simulation on micro electromagnetic pump. Sensors and Actuators A: Physical, 83(1-3), 200-207. doi:10.1016/s0924-4247(99)00384-2 [4] Lee, C., Chen, Z., Chang, H., Cheng, C., & Wen, C. (2008). Design and fabrication of a novel micro electromagnetic actuator. 2008 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS. doi:10.1109/dtip.2008.4752951 [5] Woias, P. (2005). Micropumps—past, progress and future prospects. Sensors and Actuators B: Chemical, 105(1), 28-38. doi:10.1016/s0925-4005(04)00108-x
Gijoy S, Abhilash S S, Manu Krishnan "Finite Element Electromagnetic and Mechanical Analysis of Micropump" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.29-33 2017
In the current study different natural fillers like rice husk, wheat husk and wood flour natural fillers were compounded with polypropylene to form composites. The effects of these natural fibres on various mechanical properties of the composites were investigated. Polypropylene composites at various filler loadings were compounded using a twin screw extruder and the test specimens were molded through injection machines.
- Page(s): 34-36
- Date of Publication: 20 July 2017
- Sharat Chandra SrivastavaM. Tech., Aligarh Muslim University, Aligarh, Uttar Pradesh, India
- Mohd. Farhan ZafarResearch Scholar, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
- M. Arif SiddiquiAssociate Professor, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
References
[1] Plastic Matrix Composites with Continuous Fiber Reinforcement, Military Handbook, MIL-HD8K-7S4 (AR), department of defense, USA, 19 September 1991. [2] Juhn Homg Chen, Long Jye Sheu, Wen-Chin Chen, Hsien-Keng Chen, Chen-Tai Chen,Application of Advanced Process Control in Plastic Injection Molding, 2008, IEEE 978-1-4244 -2013-1/08. [3] Shakhashiri, Polymers, Chemical of the Week, www.scifun.org , Revised on 11 March 2008. [4] David A. Katz, POLYMERS, 1998, 1981, PA 19035, US. [5] Odian, George; Principles of Polymerization, 3rd ed., J. Wiley, New York, 1991. [6] Jang, B. Z. ; Advanced Polymer Composites : Principles and Applications, ASM International, Materials Park, OH, 1994. [7] Hull, D. and Clyne, T.W. 1996. An Introduction to composite materials, 2nd ed., Cambridge University, Press, Cambridge, pp 1-3. [8] Arnold, C. A., Hergenrother, P.M and McGrath, J.E. “ An overview of Organic Polymeric Matrix Resins for Composite”, in composite applications: The role of matrix, fiber, and interface. T.L. Vigo and B.J Kinzig (eds.), VCH, New York, 1992.
Sharat Chandra Srivastava, Mohd. Farhan Zafar, M. Arif Siddiqui "Effect of Natural Lignocellulosic Fibers on the Mechanical Properties of the Polypropylene Composites" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.34-36 2017
Demonetisation is the mechanism by which the government states to withdraw the money which is current legal tender. The government being sovereign can take such decision. The effect of this announcement is that the currency notes in circulation will now cease to be valid tender and can only be exchanged at the banks. India's Prime Minister Narendra Modi announced to the citizens on Nov 8, 2016 that 500 and 1000 rupee notes are worthless, effective immediately – and they had until the end of the year to deposit or exchange them for newly introduced 2000 rupee and 500 rupee bills. The move by the government is to tackle the menace of black money, corruption, terror funding and fake currency. The total value of old Rs.500 and Rs.1000 notes in the circulation is to the tune of Rs.14.2 trillion, which is about 85% of the total value of currency in circulation. This means that the total cash has to now pass though the formal banking channels to get legitimacy. There are higher chances of larger proportion of this unaccounted currency getting extinguished as the tax rate and subsequent legal issues could be prohibitively high for such money. The paper elucidates and analyses the various economic aspects of the recent demonetization move with an attempt to draw out critical derivatives of the decision on various economic variables.
- Page(s): 37-41
- Date of Publication: 20 July 2017
- Pratibha GiriAssistant Professor, Dept. of Management Studies, JSSATE, Noida, Uttar Pradesh, India
- Dr. Yogendra Singh Associate Professor, Dept. of Management Studies, JSSATE, Noida, Uttar Pradesh, India
References
[1]. Acharya, Shankar N. (1986), “Aspects of the black economy in India”, National Institute of Public Finance and Policy [2]. Government of India (2016), “Committee on Digital Payments”, Ministry of Finance [3]. Giri Pratibha (2017) "Impact of Demonetisation on the Indian Economy: A cash based society moving to Digital Payments!”International Journal of Entrepreneurship & Business Environment Perspectives(A Referred Quarterly Journal) Jan- March,2017,Issue 1,Volume 6 ISSN 2279-0918. [4]. Henry, James S. (1980), "The Cash Connection: How to Make the Mob Miserable", The Washington Monthly. [5]. PricewaterhouseCoopers India (2015), “Disrupting cash: Accelerating electronic payments in India” [6]. Rai, Suyash (2016), “A flawed policy: The real problem with demonetisation is not just in implementation”, scroll.in [7]. Rogoff, Kenneth S. (2016), The Curse of Cash, Princeton University Press [8]. Sands, Peter (2016), " Making it Harder for the Bad Guys: The Case for Eliminating High Denomination Notes", Harvard Kennedy School M-RCBG Associate Working Paper No. 52 [9]. Sen, Pronab (2016), “Demonetisation is a hollow move”, Op-ed: Mint [10]. https://economictimes.indiatimes.com/news/economy/policy/what-is-demonetisation-and-why-was-it-done/articleshow/55326862.cms [11]. https://scroll.in/article/821073/note-demonetisation-86-of-indian-currency-and-12-of-gdp-has-been-frozen-overnight [12]. https://www.livemint.com/Money/WZMX0fj5YQKOU4l6P0J44I/Demonetization-of-rupee-has-hit-the-Indian-markets.html [13]. https://knowledge.wharton.upenn.edu/article/will-demonetization-affect-business-india-2017/ [14]. https://www.squirepattonboggs.com/~/media/files/insights/publications/2016/11/the-impact-of-indias-demonetization/252122020the20impact20of20indiac2b9s20demonetization20alert.pdf [15]. https://seekingalpha.com/article/4031382-demonetization-impact-indian-economy [16]. https://www.studydhaba.com/demonetization-pdf/ [17]. https://www.financialexpress.com/economy/how-demonetization-will-impact-top-six-sectors-of-economy/490999/://www.financialexpress.com/economy/how-demonetization-will-impact-top-six-sectors-of-economy/490999/ [18]. https://seekingalpha.com/article/4031382-demonetization-impact-indian-economy [19]. https://economicsclubimi.wordpress.com/2016/11/13/economic-impact-of-demonetizing-the-indian-rupee/comment-page-1/#comment-71 [20]. https://economicsclubimi.wordpress.com/2016/11/13/economic-impact-of-demonetizing-the-indian-rupee/ [21]. https://www.investopedia.com/terms/d/demonetization.aspDemonetization [22]. https://www.investopedia.com/terms/d/demonetization.asp#ixzz4au5Ajlr7
Pratibha Giri, Dr. Yogendra Singh "Demonetisation: An Analysis of Intended Benefits and Unintended Consequences" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.37-41 2017
The objective of this paper is to discuss the research findings of employer’s perception on various parameters of competencies of management graduates. The questionnaire was applied as the main instrument to record the employers’ perception about employability skills of management graduates. The sample respondent comprises HR managers, and recruiters from various industries. Validation of the research instrument is done by taking the opinions of two academicians and one industrial expert. The findings of reliability test indicates that questionnaire design is reliable with Chronbach’s alpha α=0.755. The results showed that all 25 competencies were considered very important by the employers. The very important aspects according to study were interpersonal communication, Customer service orientation, written communication.
- Page(s): 42-45
- Date of Publication: 20 July 2017
- Y. Muralidhar Reddy Research Scholar, Department of Management, Rayalaseema University, Kurnool, India Associate Professor, Department of Management, Cambridge Institute of Technology, Bangalore, India
- Dr. S. Hanuman Kennedy Associate Professor, Institute of Management, Christ University, Bangalore, India
References
[1]. Ana Azevedo, Gerhard Apfelthaler, Deborah Hurst, (2012), “Competency development in business graduates: An industry-driven approach for examining the alignment of undergraduate business education with industry requirements” The International Journal of Management Education 10 (2012) 12–28 doi:10.1016/j.ijme.2012.02.002 [2]. Aggarwal A., Rizvi I.A & Popli S. (2004), “Global Branding of Business Institutes: An Indian Perspective”, Welingkars Research Journal, Volume II, Issue-4, pp 2-31. [3]. Bhada Yezdi K. (2002), “Top of the Class”, Bized November/ December 2002 AASCB Publication pp.22-27 [4]. Byrne J.A (1993), “Business Week’s guide to the Best Executive Education programmes”, McGraw Hill, New York. [5]. Conway Tony, Mackay Stephen & Yorke David (1994), “Strategic Planning in Higher Education: Who are the customers”, International Journal of Educational Management Vol.8, No.6, MCB University press, pp. 29-36 [6]. Chavan R.R, Surve A.Y (2014), “Assessing parameters of employability skills: an employers’ perspective”, Asian Journal of Management Research, Volume 5, Issue 2, 2014. Pp 254 -260 [7]. Dayal V (2014) “Emerging trends in management education in international business schools” Educational Research and Review (2004) 27: 393 doi:10.1023/B:LING.0000024420.80324.67 [8]. Elliot, C.J., Goodwin J.S & Goodwin J.C., (1194) “MBA programmes and business needs: is there a mismatch?”, Business Horizins, July-August 1994, pp 55-60. [9]. Ghosh Debabrata, Deepak Bhatnagar, Jancy A, Neeraj Saxena and S k Muneshwar (2007). “Innovative mechanism to improve effectiveness of technical education – A case study of mission mode approach in India”, Retrieved from www.indianjournal.com on Dec 19, 2016 [10]. Irfan A. Rizvi & Ashita Aggarwal (2005) “Enhancing student Employability: Higher education and Workforce Development” paper presented at Ninth Quality in Higher Education International Seminar in collaboration with ESECT and The Independent. Birmingham [11]. Lee Harvey (2001) “Defining and Measuring Employability”, Quality in Higher Education, 7:2, 97-109, DOI: 10.1080/13538320120059990 [12]. Mohammed Abdullah Mamun et al (2009), “Management Education for Contemporary Challenges: The Role of Business School” European Journal of Scientific Research ISSN 1450-216X Vol.30 No.4 (2009), pp.649-661 [13]. Murali. S and Dr. Y Rajaram (2015), “A Study on the Corporate Expectations from Engineering Graduates in India – Bangalore” IOSR Journal of Business and Management (IOSR-JBM) e-ISSN: 2278-487X, p-ISSN: 2319-7668. Volume 17, Issue 6.Ver. III (June. 2015), PP 01-09 [14]. Neeraj K. Dubey, et al (2009). “An Empirical Study on Expectations of Industry from Academia”, www.indianmba.com, E-mail December 14, 2009 [15]. Nurhazani Mohd Shariff et al (2014), “Tourism and Hospitality Graduates Competencies: Industry Perceptions and Expectations in the Malaysian Perspectives” World Applied Sciences Journal 31 (11): 1992-2000, 2014 ISSN 1818-4952 [16]. Popli S. (2002) “Customer Satisfaction: Quality Approach to Management Education”, paper presented at 7th International conference on Quality in Higher Education at RMIT, Australia. [17]. Rajasekaran, S. Rajasingh (April 2009). “Perceptual chasm between industry and academic leaders on the quality of higher education”, Journal of academic leadership, USA, (15337812); 2009, Vol. 7 Issue 2, p7 [18]. Rao S.L. & Bowondor B. (2004), “Management Education in India, its evolution and some contemporary issues”, Research paper published by All India Management Education [19]. Rizvi I.A & Popli S. (2002), “Models of Excellence in Business”, Chapter 7, edited book by Institute of Directors. [20]. Trank Christine Quinn & Rynes Sara L. (2003), “Reclaiming Professionalism in Business Education”, Academy of Management Learning and Education Vol.2 Issue 2 [21]. Vikhe Gautam V, Preeti Agrawal “Industry-Institute Employbility Skill Gap Analysis” ISSN (Print): 2319–5479, Volume-3, Issue–4, 2014 [22]. Weenen Hans van (2000), “Towards a vision of a sustainable university”, International Journal of Sustainability in Higher Education Vol.1 no. 1 MCB University Press, pp. 20-34 [23]. World Economic Forum & Boston Consulting Group 2011. Global talent risk – Seven responses https://www.weforum.org/reports/global-talent-risks-report-2011
Y. Muralidhar Reddy, Dr. S. Hanuman Kennedy "Employer’s Perception on the Employability Competencies of Management Graduates" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.42-45 2017
Motif mining became more popular and got more attention towards data mining field due to its real world applications such as health prediction, locating previous patterns in time series database. Motifs are the most correlated pair of subsequences in sequence objects. Motif discovery is hard on emerging applications which have long sequences or applications where queries arrive rapidly. Since correlation computations and prune subsequence techniques requires different ordering on examining subsequence pairs, Existing works cannot bring faster computation of correlations and prune subsequence pairs at the same time. In this paper we propose a new framework called F-Motif (Fast-Motif) which comprises two level approaches for pruning subsequence at outer level and fast correlation computation at the inner level. In our Experimental results, our framework performed 3X faster than existing methods.
- Page(s): 46-53
- Date of Publication: 20 July 2017
- R KumarResearch Scholar, M.S University, Tamil Nadu, India
- Capt. Dr. S Santhosh BabooDepartment of Computer Science, DG Vaishnav College, Chennai, Tamil Nadu, India
References
[1]. Castro, N and Azevedo, P L., (2010) "Multi resolution motif discovery in time series," in SDM. [2]. Li, Lin, J and Oates, T., (2012) Visualising variable-length time series motifs, in SDM. [3]. Mueen, A and Keogh, E. J.., (2010) Online discovery and maintenance of time series motifs." in KDD. [4]. Mueen, A, Keogh, E. J. and Shamlo, N. B.,(2009) Finding time series motifs in disk-resident data, in ICDM. [5]. Mueen, et al., (2009) Exact discovery of time series motifs, in SDM. [6]. Keogh, E. et. Al., (2005) Hot sax: Efficiently finding the most unusual time series subsequence; in ICDM. [7]. Rakthanmanon, E. J. Keogh, S. Lonardi, and Evans, S.,(2011) Time series epenthesis: Clustering time series streams requires ignoring some data, in ICDM. [8]. Lin, J, Keogh, E, Lonardi, S and Patel, P,(2002) Finding motifs in time series, in Proc. of 2nd Workshop on Tempo Data Mining. [9]. Mueen, A., (2013) Enumeration of time series motifs of all lengths, IEEE 13th International Conference on Data Mining,Dallas. [10]. Shieh, J. and Keogh, E. J.,(2008) isax: indexing and mining terabyte sized time series, KDD. [11]. Li, L. H. U, Yiu, M. L, and Gong, Z.,(2013) Discovering longest-lasting correlation in sequence databases, PVLDB, vol. 6, no. 14, pp. 1666- 1677. [12]. Rakthanmanon, et. al.,(2012) Searching and mining trillions of time series subsequences under dynamic time warping, KDD. [13]. chi Chiu, B, Keogh, E. J, and Lonardi, S. (2003) Probabilistic discovery of time series motifs, in KDD. [14]. Keogh, E. L. and Kasetty, S.(2002) On the need for time series data mining benchmarks: a survey and empirical demonstration, in KDD. [15]. Narang, A and Bhattacherjee, S, (2010) Parallel exact time series motif discovery, in Eu -Par (2). [16]. Lin, J, Keogh, E. J, Wei, L and Lonardi, S., (2007) Experiencing sax: a novel symbolic representation of time series, Data Min. Knowl. Discov., vol. 15, no. 2, pp. 107-144. [17]. Yi, B.K. and Faloutsos, C., (2000) Fast time sequence indexing for arbitrary Ip norms, in VLDB. [18]. Kamel, I and Faloutsos, C.,(1993) On packing r-trees, inIKM. [19]. Hjaltason, G. R. and Samet, H., (1998) Incremental distance join algorithms for spatial databases, in SIGMOD Conference. [20]. Corral, A, Manolopoulos, Theodoridis, and Vassilakopoulos, M. (2000) Closest pair queries in spatial databases, in SIGMOD Conference. [21]. Cheema, M. A, Lin, X, Wang, H, Wang, J and Zhang, (2011) A unified approach for computing top-k pairs in multidimensional space, in ICDE. [22]. Quick-motif," https://degroup.cis.umac.mo/quickmotifs/. [23]. Agrawal, R, Faloutsos, C and Swami, A. N.,(1993) Efficient similarity search in sequence databases, in FODO. [24]. Tao, K. Yi, Sheng, C, and Kalnis, P.,(2010) Efficient and accurate nearest neighbor and closest pair search in high-dimensional space, ACM Transactions Database Systems, vol. 35, no. 3.
R Kumar, Capt. Dr. S Santhosh Baboo "An Optimized Framework for Precise Motif Discovery by Merging SBF with Pruning Method" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.46-53 2017
Due to increasing population the building materials used in conventional period is depleting, so the civil engineers are in the situation to use the waste material effectively in construction works without compromising the quality of the material. This strategy will also help to reduce the effects taking in disposal of waste materials. Bricks are one of the important building material used in construction but due to its non-availability of resource and its increased self-weight in the structure hollow blocks and solid blocks replace it. In this paper, the main material clay in conventional brick is partially replaced with different proportion of stone dust of percentage 10% 20% 30% effectively. Bricks are moulded with hand and dry it in hot weather for 15 days and burnt the bricks about 1100°C to find the mechanical .and physical properties. For each combination 5 sample of bricks were casted for accuracy in result. Compression test, efflorescence test and water absorption test were conducted and the results are reviewed with conventional property of brick. In this research, the stone dust with 20% stone dust gives optimum result with lower water absorption capacity.
- Page(s): 54-56
- Date of Publication: 20 July 2017
- Karthika KAssistant Professor, Department of Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Ponmar, Chennai, Tamil Nadu, India
- P PriyaAssistant Professor, Department of Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Ponmar, Chennai, Tamil Nadu, India
- R.S AshishFinal year UG students, Department of Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Ponmar, Chennai, Tamil Nadu, India
- C. Ilaiya Bharathi Final year UG students, Department of Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Ponmar, Chennai, Tamil Nadu, India
References
[1]. Nutel C.Patel, Prof. Jayeshkumar Pitoda ‘Glass Fibre the innovative concept for getting high strength brick’ IJIRSET Vol 2, issue 3, March 2013. [2]. Magesh V. Madurwar, Sachin A. Mandovgan and Rahul V. Ralegonkr ‘ Use of sugarcane bagasse ash as brick material’ Currrent science Vol 107 No:6, 25 Sep 2014 [3]. Watile R.K, Deshmukh S.K, Durge P.V, Yawale A.D ‘ utilization of rice husk for production of clay bricks ‘ conference on advent trends in Engineering, science and technologyICATEST (2015). [4]. Prof. Niklesh R. Murekar, Prof. Roshan S. Satpute, Prof. Manish M. Chaudhari ‘Using Waste Material for Making Light Weight Bricks’ ICRTEST Volume: 5 Issue: 1(Special Issue 21-22 January 2017. [5]. Ismail Demir ‘Effect of oraganic residues addition on the technological properties of clay bricks’ science direct waste management 28 (2008) pg:622-627 [6]. IS 2720 ‘Method of test for soil- 1973’ [7]. IS 3495- 1 to 4 ‘Methods of tests of burnt clay building bricks- 1992’
Karthika K, P Priya, R.S Ashish, C. Ilaiya Bharath "Experimental Analysis on Manufacture of Brick by Partial Replacement of Clay with Stone Dust " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.54-56 2017
The aim of this study is to understand the consumer buying behavior via website versus mobile application. There are millions of people online at any point of time and all of them are potential customer for some or other retailer. With the advent of technology, many portals have been developed online, for the ease of customers as per their convenience like – websites, mobile applications. Since there are many portals and so many providers of services, it is vital to understand what customers are buying, form where they are buying, how they are buying and the reason behind buying from that particular place/portal. Customer behaviors are influenced by the advantages and disadvantages of these portals (websites and mobile applications) and also the demographics due to which they show varying behaviours. To understand the consumer behaviour, a questionnaire was designed and distributed online to 156 respondents and the sample consisted of people from Bengaluru. The result of this study would contribute to enhancement of knowledge and help analyze why one portal is working more than the other for the same retailer. It will help identify the major product/service categories that are availed via website and sectors availed via mobile application so that providers of different services/products can develop marketing strategies to generate more traffic and sales.
- Page(s): 57-63
- Date of Publication: 20 July 2017
- Gulnaz Banu P. Research Scholar, Jain University, Bengaluru Associate Professor, NIFT Bengaluru, Karnataka India
- G.S.Vijaya Research Guide, Jain University, Bengaluru Associate Professor, College of Business Administration, Riyadh, Al Yamamah University, Saudi Arabia
References
[1]. Joseph, P.T. (2015). E-Commerce, Fifth Edition: An Indian Perspective. pp 127, PHI Learning Pvt. Ltd. [2]. Nuseir, T. M., Arora N., Morad, M. A and Gharaibeh, M. (2010). Evidence of online shopping: A consumer perspective. International Review of Business Research Papers, Volume 6, Number 5, November 2010. https://www.bizresearchpapers.com/8.%20Nitin%20Arora-FINAL.pdf (Accessed on 14/12/16) [3]. Agrawal, Sandhir, M., Gupta V., Gaurav, (2010). Emerging Profile of Online Apparel Shoppers in India. Labovitz School of Business & Economics, University of Minnesota Duluth, 11 E. Superior Street, Suite 210, Duluth, MN 55802. Retrieved from https://www.acrwebsite.org/volumes/ap08/ap_2009_vol8_86.pdf (Accessed on 14/12/16) [4]. Chen Y. L. (2011). The quality of Mobile Shopping system and its impact on purchase intention and performance. International Journal of Managing Information Technology (IJMIT) Vol.5, No.2, May 2013. Retrieved from https://airccse.org/journal/ijmit/papers/5213ijmit03.pdf (Accessed on 14/12/16) [5]. Shergill, G.S., (2012). Web based shopping – Consumers attitudes towards online shopping in New Zealand. Journal of Electronic Commerce Research, VOL. 6, NO.2, 2005. Retrieved from https://mail.ongisnade.co.id/sites/default/files/paper1_0.pdf (Accessed on 14/12/16) [6]. Kundu, Dr. S.G., Trivedi, J.P. (2014). A study of mobile application preferences of youth and future scope. Researchjournali’s Journal of Marketing, Vol.2, No.3, April, 2014 ISSN 2348-0947. Retrieved from https://www.researchgate.net/publication/262188801 (Accessed on 14/12/16) [7]. Raman, P. (2014). Factors Influencing Women Consumers' Buying Behavior Towards Online Shopping In India. Journal Of Contemporary Management Research, 8(2), 23-56. Retrieved from https://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?sid=7429b34d-f4c2-4ef0-a3ee-47074ff96ae0%40sessionmgr4010&vid=1&hid=4111 (Accessed on 14/12/16) [8]. Gupta, A., Kumar, N., & Kanchan, U. (2015). A Study Of Online Purchase Behaviour Of Customers In India, ICTACT Journal On Management Studies, August 2015, Volume: 01, Issue: 03. Retrieved from https://ictactjournals.in/paper/IJMS_paper_4_pp_136_142.pdf (Accessed on 14/12/16) [9]. Goswami, S., & Khan, S. (2015). Impact of Consumer Decision-making Styles on Online Apparel Consumption in India. Vision (09722629), 19(4), 303-311. doi: 10.1177/0972262915610853. Retrieved from https://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?sid=1a114ee4-fc38-4d62-8373-477c554328a9%40sessionmgr4007&vid=2&hid=4111 (Accessed on 14/12/16) [10]. Choudhary, V. (2015, July 28). Nielsen report shows surge in use of mobile apps for shopping. Livemint. Retrieved from https://www.livemint.com/Consumer/t5ecA2Tf0iNzqaPQhtDC2H/Survey-shows-surge-in-use-of-mobile-apps-for-shopping.html (Accessed on 14/12/16) [11]. India's Online Retailers Launch 'Lite' Versions Of Websites To Snare Mobile shoppers. (2015). FRPT- Telecom Snapshot, 23. Retrieved from https://eds.a.ebscohost.com/eds/pdfviewer/pdfviewer?sid=25489512-ba19-43a1-ad83-248c80d42a78%40sessionmgr4009&vid=1&hid=4111 (Accessed on 14/12/16)
Gulnaz Banu P., G.S.Vijaya "A Study on Consumers’ Buying Preferences: Website-Based vs. App-Based Products and Services" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.57-63 2017
With the increasing need for understanding customer behavior and need for better buyer-seller relationships more than ever sentiment analysis has become one of the major tool in today’s time. The growing data and the need for faster computation efficient and more reliable processes of SA (sentiment analysis) are preferred and are in great demand.SA as a field of science has grown a lot from its earlier days. With the advent of big data practices, this paper focuses on processes followed in performing SA on big data and how big data tools and frameworks go along with sentiment analysis and it also highlights the gaps and suggests future works that should be explored.SA studies need to be expanded into providing better scalability and velocity along with reliability
- Page(s): 64-69
- Date of Publication: 20 July 2017
- Dr. B. R. PrakashAssistant Professor, Dept. of Master of Computer Applications, Sri Siddhartha Institute of Technology, Tumkur, India
- Dr. D. RameshProfessor and Head, Dept. of Master of Computer Applications, Sri Siddhartha Institute of Technology, Tumkur, India
References
[1]. Lexicon-Based Methods for Sentiment Analysis-Maite Taboada, Julian Brooke, Milan Tofiloski,Simon Fraser Voll, Manfred Stede, -Computational Linguistics June 2011, Vol. 37, No. 2, Pages: 267-307 Posted Online May 26, 2011 [2]. Sentiment user profile analysis based on forgetting curve in mobile environments- Sang-Min Park ; Doo-Kwon Baik ,Young-Gab Kim22-23 Aug. 2016 IEEE [3]. Sentiment analysis on bangla and romanized bangla text using deep recurrent models-Asif Hassan ; Mohammad Rashedul Amin ; Abul Kalam Al Azad ; Nabeel Mohammed 12-13 Dec. 2016 IEEE conference [4]. Sentiment analysis of Twitter data: Case study on digital India-Prerna Mishra ; Ranjana Rajnish ; Pankaj Kumar6-7 Oct. 2016 IEEE conference [5]. Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach- Zhen Hai; Gao Cong; Kuiyu Chang ; Peng Cheng ; Chunyan Miao 14 February 2017 IEEE [6]. Effect of negation in sentiment analysis- Wareesa Sharif ; Noor Azah Samsudin ; Mustafa Mat Deris ; Rashid Naseem24-26 Aug. 2016 INTECH conference [7]. An analysis of ICON aircraft log through sentiment analysis using SVM and Naïve Bayes classification-Harshit Sinha ; Rahul Bagga ; Gaurav Raj 6-7 Oct. 2016 InCITe [8]. A proposed method for predicting US presidential election by analyzing sentiment in social media-Andy Januar Wicaksono ; Suyoto ; Pranowo-ICSITech 26-27 Oct. 2016 [9]. Rudy Prabowo, Mike Thelwall, “Sentiment analysis: A combined approach .”, Journal of Informetrics 3 (2009) 143– 157 Gamgarn Somprasertsri, Pattarachai Lalitrojwong , Mining Feature-Opinion in Online Customer Reviews for Opinion Summarization, Journal of Universal Computer Science, vol. 16, no. 6 (2010),938-955. [10]. Qingliang Miao, Qiudan Li, Ruwei Dai , “AMAZING: A sentiment mining and retrieval system”, Expert Systems with Applications 36 (2009) 7192–7198. [11]. Long-Sheng Chen , Cheng-Hsiang Liu, Hui-Ju Chiu , “A neural network based approach for sentiment classification in the blogosphere”, Journal of Informetrics 5 (2011) 313– 323 [12]. Kaiquan Xu , Stephen Shaoyi Liao , Jiexun Li, Yuxia Song, “Mining comparative opinions from customer reviews for Competitive Intelligence”, Decision Support Systems 50 (2011) 743–754 [13]. Popescu, A. M., Etzioni, O.: Extracting Product Features and Opinions from Reviews, In Proc. Conf. Human Language Technology and Empirical Methods in Natural Language Processing, Vancouver, British Columbia, 2005, 339–346. [14]. Gang Li , Fei Liu , “A Clustering-based Approach on Sentiment Analysis” ,2010, 978-1-4244-6793-8/10 ©2010 IEEE [15]. ZHU Jian , XU Chen, WANG Han-shi, “" Sentiment classification using the theory of ANNs”, The Journal of China Universities ofPosts and Telecommunications, July 2010, 17(Suppl.): 58–62 [16]. Melville, Wojciech Gryc, “Sentiment Analysis of Blogs by Combining Lexical Knowledge with Text Classification”, [17]. KDD‟09, June 28–July 1, 2009, Paris, France.Copyright 2009 ACM 978-1-60558- 495-9/09/06 [18]. Asur, S. and B.A. Huberman, 2010. Predicting the future with social media. Proceedings of the International Conference on Web Intelligence and Intelligent Agent Technology, Aug. 31 2010- Sept. 3, IEEE [19]. Cheong, M. and V.C.S. Lee, 2010. A micro bloggingbased approach to terrorisminformatics: Exploration and chronicling civilian sentiment and response to terrorism events via Twitter. Inform. Syst. Frontiers, 13: 45-59.
Dr. B. R. Prakash, Dr. D. Ramesh "Recent Developments and Reviews in Sentimental Analysis for Big Data" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.64-69 2017
Object detection and tracking is an important and challenging task required in many computer vision applications and is an active research area in computer vision. Object detection involves locating the object in a frame of a video and tracking involves locating the moving object over a period of time. The task of moving object detection and tracking is a difficult because of illumination changes, dynamic background, occlusion, cluttered background, presence of shadows, motion of camera and video noise. The aim of this paper is to propose a framework for moving object detection and tracking in a video sequence. This framework detects and tracks moving object from video sequences and plots its motion trajectories which can be used for many applications like people tracking, vehicle tracking, traffic monitoring, video surveillance, in robotics and many more. We have used correlation based approach to track the moving object from video sequences.
- Page(s): 70-75
- Date of Publication: 20 July 2017
- Shweta A. TiwaskarComputer Engineering Department VIIT College of Engineering, Pune, India
- Dr. Dipti D. PatilInformation Technology Department Cummins College of Engineering, Pune, India
References
[1]. Aglika Gyaourova,Chandrika Kamath and Sen-ching Cheung,” Block matching for object tracking”, LLNL Technical report, October 2003. [2]. Alok K.Watve and Shamik Sural – A Seminar on Object tracking in Video Scenes. [3]. Shiuh-Ku Weng a,*, Chung-Ming Kuo b , Shu-Kang Tu,” Video object tracking using adaptive Kalman filter”, J. Vis. Commun. Image R. 17 (2006) 1190–1208 [4]. Y. Wang, J. Doherty and R. Van Dyck – “Moving object tracking in video” - Proc.Conference on Information Sciences and Systems, Princeton, NJ, March 2000. [5]. Bing Han, William Roberts, Dapeng Wu, Jian Li,” Robust feature-based Object Tracking” [6]. Saunier, N.; Sayed, T., "A feature-based tracking algorithm for vehicles in intersections," in Computer and Robot Vision, 2006. The 3rd Canadian Conference on , vol., no., pp.59-59, 07-09 June 2006doi: 10.1109/CRV.2006.3 [7]. Lin Yang; Johnstone, J.; Chengcui Zhang, "A multi-camera approach to vehicle tracking based on features," in Multimedia Workshops, 2007. ISMW '07. Ninth IEEE International Symposium on , vol., no., pp.79-80, 10-12 Dec. 2007 doi: 10.1109/ISM.Workshops.2007.21 [8]. Yuexian Zou; He Zhao; Hang Shi; Yiyan Wang, "A moving vehicle segmentation method based on clustering of feature points for tracking at urban intersection," in Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on , vol., no., pp.120-123, 6-9 Dec. 2010 doi: 10.1109/APCCAS.2010.5774838 [9]. Lili Huang; Barth, M., "Real-time multi-vehicle tracking based on feature detection and color probability model," in Intelligent Vehicles Symposium (IV), 2010 IEEE , vol., no., pp.981-986, 21-24 June 2010 doi: 10.1109/IVS.2010.5548060 [10]. Chung-Hsien Huang, "Video-based traffic analysis system using a hierarchical feature point grouping approach," in Robot, Vision and Signal Processing (RVSP), 2011 First International Conference on , vol., no., pp.166-169, 21-23 Nov. 2011doi: 10.1109/RVSP.2011.53 [11]. Ellis, J.G.; Kramer, K.A.; Stubberud, S.C., "Image Correlation Based Video Tracking," in Systems Engineering (ICSEng), 2011 21st International Conference on , vol., no., pp.132-136, 16-18 Aug. 2011 doi: 10.1109/ICSEng.2011.31 [12]. Rabe, C.; Franke, U.; Gehrig, S., "Fast detection of moving objects in complex scenarios," in Intelligent Vehicles Symposium, 2007 IEEE , vol., no., pp.398-403, 13-15 June 2007 doi: 10.1109/IVS.2007.4290147 [13]. Bota, S.; Nedevschi, S., "Tracking multiple objects in urban traffic environments using dense stereo and optical flow," in Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on, vol., no., pp.791-796, 5-7 Oct. 2011 [14]. Xin Li; Kejun Wang; Wei Wang; Yang Li, "A multiple object tracking method using Kalman filter," in Information and Automation (ICIA), 2010 IEEE International Conference on , vol., no., pp.1862-1866, 20-23 June 2010 [15]. Shuai Zhang; Chong Wang; Shing-Chow Chan; Xiguang Wei; Check-Hei Ho, "New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Over Camera Network," Sensors Journal, IEEE , vol.15, no.5, pp.2679,2691, May 2015 [16]. Duc Phu Chau, Fran¸cois Bremond, Monique Thonnat. Ob ject Tracking in Videos: Approaches and Issues. The International Workshop ”Rencontres UNS-UD” (RUNSUD), Apr 2013, Danang, Vietnam. 2013. [17]. W. Choi, C. Pantofaru, S. Savarese A general framework for tracking multiple people from a moving camera IEEE Trans. Pattern Anal. Mach. Intell., 35 (7) (2013), pp. 1577–1591 [18]. K. M. Yi, K. Yun, S. W. Kim, H. J. Chang and J. Y. Choi, "Detection of moving objects with non-stationary cameras in 5.8ms: bringing motion detection to your mobile device," 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, Portland, OR, 2013, pp. 27-34. doi: 10.1109/CVPRW.2013.9 [19]. A. ElTantawy and M. S. Shehata, "Moving object detection from moving platforms using Lagrange multiplier," Image Processing (ICIP), 2015 IEEE International Conference on, Quebec City, QC, 2015, pp. 2586-2590. doi: 10.1109/ICIP.2015.7351270 [20]. D. Liu, M. L. Shyu, Q. Zhu and S. C. Chen, "Moving object detection under object occlusion situations in video sequences," Multimedia (ISM), 2011 IEEE International Symposium on, Dana Point CA, 2011, pp. 271-278. doi: 10.1109/ISM.2011.50 [21]. S. M. Youssef, M. A. Hamza and A. F. Fayed, "Detection and tracking of multiple moving objects with occlusion in smart video surveillance systems," 2010 5th IEEE International Conference Intelligent Systems, London, 2010, pp. 120-125. doi: 10.1109/IS.2010.5548407 [22]. C. C. Huang and S. J. Wang, "A cascaded hierarchical framework for moving object detection and tracking," 2010 IEEE International Conference on Image Processing, Hong Kong, 2010, pp. 4629-4632. doi: 10.1109/ICIP.2010.5649539 [23]. X. Cao, L. Yang and X. Guo, "Total variation regularized RPCA for irregularly moving object detection under dynamic background," in IEEE Transactions on Cybernetics, vol. 46, no. 4, pp. 1014-1027, April 2016. doi: 10.1109/TCYB.2015.2419737 [24]. Z. Jinle, D. Dong, Z. Yirong, Z. Jun and P. Jiluan, "Position and pose detection of moving object in fog and dust environment based on laser array," 2014 Sixth International Conference on Measuring Technology and Mechatronics Automation, Zhangjiajie, 2014, pp. 451-454. doi: 10.1109/ICMTMA.2014.110 [25]. Zhang Yunchu, Li YiBin and Zhang Jianbin, "Moving object detection in the low illumination night scene," Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on, Shenzhen, 2012, pp. 1-4. doi: 10.1049/cp.2012.2296 [26]. Peng Zhang, Tie-Yong Cao and Tao Zhu, "A novel hybrid motion detection algorithm based on dynamic thresholding segmentation," Communication Technology (ICCT), 2010 12th IEEE International Conference on, Nanjing, 2010, pp. 853-856. doi: 10.1109/ICCT.2010.5688705
Shweta A. Tiwaskar, Dr. Dipti D. Patil "Development of Framework for Moving Object Detection and Tracking in Video Sequences" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.70-75 2017
The Serial Peripheral Interface Bus The SPI communication was originally realized for the Fully Configurable Freely Scalable Digital Audio System. First we used Philips’s 12C (Inter IC Communication), but it was too slow, and the number of the connected devices was limited. With SPI we can connect as many devices as many pins we have on the main microcontroller. The SPI bus was developed by MOTOROLA Semiconductors. The MAX349/MAX350 are 8-channel and dual 4-channel, serially controlled multiplexer is used for communication in either direction.
- Page(s): 76-79
- Date of Publication: 20 July 2017
- Richa MalhotraECE, Northern India Engineering College, New Delhi, India
- Swati JunejaECE, Northern India Engineering College, New Delhi, India
References
[1]. “Introduction to Serial Peripheral Interface”, by David Kalinsky and Roee Kalinsky, Embedded Systems Programming, 02/01/2002. [2]. “S. Sarns and J. Woehr, “Exploring I2C,” Embedded Systems Programming, vol. 4, p. 46, Sept. 1991. [3]. ”Free scale Semiconductor, (2008, October 13). Free scale M68HC05 Microcontrollers data sheets [Online] Available https://www. freescale.com . [4]. Free scale Semiconductor, (2008,October 14). Free scale SPI Block Guide V04.01 Jul. 14 revision [Online] Available [5]. ”NXP Semiconductors, (2008, October 13). I2C bus specification [6]. .”Realizing the SPI communication in a multiprocessor system” [7]. “ An Introduction to I2C and SPI Protocols”. [8]. “ Serial Peripheral Interface Master in MAX II CPLDs. [9]. “ Serially Controlled, Low-Voltage, 8-Channel/Dual 4-Channel Multiplexers.10 Cool Runner-II Serial Peripheral Interface Master.”
Richa Malhotra, Swati Juneja "Design and Implementation of Multiplexed SPI using FPGA" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.76-79 2017
In this paper transformation formulae for poly-basic hypergeometric functions have been used by making use of Bailey’s transform.
- Page(s): 80-82
- Date of Publication: 20 July 2017
- Rajesh PandeyDepartment of Applied Science, Institute of Engineering & Technology, Sitapur Road, Lucknow 226021, India
References
[1]. Gasper, G. and Rahman, M. (1991): Basic hyper-geometrtic series, Cambridge University Press. [2]. Agarwal, R.P., Manocha, H.L. and Rao, K.Srinivas (2001); Selected Topics in special functions, Allied Publisher Limited, New Delhi [3]. Agarwal, R.P. : Generalized hypergeometric series and it’s application to the theory of combinatorial analysis and partition theory (Unpublished monograph ) [4]. L.J. Slater : Generalized Hypergeometric Functions, Cambridge University Press,( 1966). [5]. S. Ramanujan : Notebook, Vol. II, Tata Institute of Fundamental Research, Bombay, (1957).
Rajesh Pandey "A Notes on Bailey’s Transform" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.80-82 2017
Indian economy mainly depends on Agriculture. Monitoring and controlling of greenhouse plays a crucial role in crop production. This paper consists of design and implementation that can monitor the temperature, humidity, soil moisture in the greenhouse filed area. Sensors gather various physical data from the Green house field in real time and transmit it to the processor and to the end user via Arduino communication. Then actions are performed5 in order to reduce or eliminate the need of human labour. Since Bluetooth is one of the protocol of IoT and is cheaper. So this system is implemented using Bluetooth technology(IoT).
- Page(s): 83-86
- Date of Publication: 20 July 2017
- Prof. Rahul Tanappagol Assistant Prof., Dept. of ECE Shaikh College of Engineering and Technology Belagavi, India
- Sridevi V Kondikopp Dept. of ECE Shaikh College of Engineering and Technology Belagavi, India
References
[1]. J. Yick, B. Mukherjee, and D. Ghosal, "Wireless sensor network survey," Computer Networks-Elsevier, vol. 52, no. 12, pp. (2292-2330), Aug. 2008. [2]. Shen Jin, Song Jingling, Han Qiuyan, Wang Shengde, and YangYan,“A Remote Measurement and Control System for Greenhouse Based on GSM-SMS”, IEEE 8th International Conference on Electronic Measurement and Instrument,pp. (45-82), 2007. [3]. Stipanicev, D.; Marasovic, J., "Networked embedded greenhouse monitoring and control," in Control Applications, 2003. CCA 2003.Proceedings of 2003 IEEE Conference on, vol. 2, no.,pp.(1350-1355) vol.2, (23-25) June 2003. [4]. N. Bennis, J. Duplaix, G. Enea et al. “Greenhouse climate modeling and robust control”, Computers and N. Bennis, J. Duplaix, G. Enea et al. “Greenhouse climate modeling and robust control”, Computers and electronics in agriculture, 2008, vol.61,pp. 96–107 [5]. Mihai T. Lazarescu, "Design of a WSN platform for long-term environmental monitoring for IoT applications," Emerging and S elected Topics in Circuits and Systems,J. Peng, X. [6]. Hongbo and W. Zheming, “Design of a Water Environment Monitoring System Based on Wireless Sensor Networks”, Sensors 2009, 9, 6411-6434.
Prof. Rahul Tanappagol, Sridevi V Kondikopp "IoT Based Energy Efficient Environmental Monitoring Alerting and Controlling System" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.83-86 2017
As the number of users corresponding to distribution system has been increasing but it also gives birth to various problems like capacitor placement in the network, reducing the power loss, balancing the voltage level. Capacitor is a device which is used for transferring the reactive power and the main focus or aim is to reduce the loss and to improve the voltage profile. In order to solve all these problems there is a requirement of proper planning regarding installation of distributed system. The problem of capacitor placement in electrical energy distribution system involves determining the number, position, type and size of capacitors located on the distribution feeder, the total cost of system installation and operation, system load. This study provides an overview to the distributed power system along with its basic concepts.
- Page(s): 87-90
- Date of Publication: 20 July 2017
- Garvita UpadhyayRajasthan College of Engineering for Women, Jaipur, Rajasthan, India
- Rachit SaxenaRajasthan College of Engineering for Women, Jaipur, Rajasthan, India
References
[1]. FitrianaSuhartati, “Capacitor placement and sizing the distorted distribution system using Simplified Direct Search algorithm”, Journal of clean energy technology, Vol 2(4), 2014 [2]. A.H Etemadi, “Distribution system reliability enhancement using optimal placement”, IET, vol 2(5), Pp 621-631, 2008 [3]. Ali Hassan, “Capacitor placement in distributed system using Artificial intelligence techniques”, IEEE, Pp 1-7, 2003, [4]. Anwar ShahzadSiddiqui, “ Optimal Capacitor Placement in Distribution system using fuzzy techniques”, AMAE, vol 1(30), Pp 28-32, 2010 [5]. M.Damodar Reddy, “Optimal capacitor placement using fuzzy and real coded genetic algorithm for maximum savings”, JTAIT, Pp 219227, 2008 [6]. N. Ganesankaran, “Maximum Cost Saving Approach for optimal capacitor placement in radial distribution system using modified ABC algorithm”, IJEEI, Vol 7(4), Pp 665-679, 2015 [7]. Mr. Manish Gupta, “Optimalsizzing and placement of capacitor for loss minimization in 33 bus radial distribution system using GA in MATLAB”, IJARCET, Vol 1(8), Pp 122-127, 2012, [8]. M. yarmohamaddi, “Capacitor placement of optimization in transmission system using hybrid PSO and HBMO algorithm”, IJEP, Vol 1(1), Pp 26-30, 2012 [9]. IkbalAli, “Optimal capacitor placement in smart distribution system to improve its maximum loadability and energy efficiency”, IJEST, Vol 3(8), Pp 271-284, 2011 [10]. Prof. Jaikaransingh, “Capacitor Placement in Radial Distribution System using Ant colony Search Algorithm”, Vol 9(4), Pp 728-731, 2014 [11]. Karen Miu, “Capacitor Placement, replacement and control in large scale distribution systems by a GA based two stage algorithm”, IEEE, Vol. 12, No. 3, Pp 160-167, 1996, [12]. H. N Ng, “capacitor placement by apropiate reasoning: fuzzy capacitor placement”, IEEE, Vol 15(1), 2000, [13]. Pravin Machindra, “Optimal Capacitor placement and sizing for enhancement of distribution system Reliability and power quality using PSO”, IEEE, Pp 1-8, 2013 [14]. P.M sonwane, “Optimal Capacitor Placement and Sizing: An overview”, IJIRAE, Vol 2(5), Pp 103-114, 2015, [15]. K. Parkash, “Particle Swarm Optimization Based Capacitor Placement on Radial Distribution System”, IEEE, Vol 6(7), Pp 1-5, 2007 [16]. RejaSirjani, “Heuristic Optimization Techniques to determine optimal capacitor placement and sizing in radial distribution networks: a comprehensive review”, Research gate, Pp 1-7, 2012, [17]. ShyhJierHuang, “An immune based Optimization method to capacitor placement in Radial Distribution System”, IEEE, vol 15(2), 2000, [18]. Ahmed Elsheikh et al, “Optimal capacitor placement and sizing in radial electric power systems”, ELSEVIER, Vol. 53, No. 4, Pp. 809-816, 2014 [19]. B. MirzaeianDehkordi et al, “Optimal Capacitor Placement And Sizing In Tabriz Electric Power Distribution System Using Loss Sensitivity Factors And Particle Swarm Optimization (Pso)”, IJTPE, Vol. 3, No. 7,Pp. 54-59, 2011 [20]. R. SrinivasaRao et al, “Optimal Capacitor Placement in a Radial Distribution System using Plant Growth Simulation Algorithm”, IJECEECE, Vol. 2, No. 9, 2008, Pp. 1971-1978 [21]. Mostafa Sedighizadeh et al, “Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization”, IJEEE, Vol. 5, No. 73, April [22]. ,Mr. Y. Mohamed Shuaib et al, “Optimal Capacitor Placement in Radial Distribution System using Group Search Optimization Algorithm”, IJSER, Vol. 5, No. 4, Pp. 77-83, 2014 [23]. Anwar S Siddiqui et al, “Optimal Capacitor Placement to reduce losses in Distribution System”, Wseas Transactions On Power Systems, Vol. 7, No. 1, Pp. 12-17, 2012
Garvita Upadhyay, Rachit Saxena "Review Paper on Optimal Capacitor Placement and Sizing in Distribution System using Optimization Techniques" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.87-90 2017
The advancement in technology incorporated a huge number of components to a single chip where the performance improved but the heat rejection rate increased owing for a highly efficient cooling method. Conventional method of heat pipe cooling failed to achieve the best, paved way for a next generation of pulsating heat pipe. The current work reflects simulation study to understand the performance of a complex pulsating heat pipe with 16 number of turns using CFD. Water was used as the working fluid. Here a discussion of various factors affecting the performance is held and a detailed study is conducted by through a CFD simulation using VOF Model.
- Page(s): 91-94
- Date of Publication: 20 July 2017
- Elizabath Jincy Johnson PCE, New Panvel, Maharashtra, India
- Sandeep M Joshi PCE, New Panvel, Maharashtra, India
- R K Sarangi DBIT, Kurla, Maharashtra, India
References
[1]. Sameer Khandekar, Manfred Groll (2003), On the definition of Pulsating Heat Pipes: An overview, Proc. 5th Minsk International Seminar (Heat Pipes, Heat Pumps and Refrigerators), Minsk, Belarus. [2]. Kambiz Jahani, Maziar Mohammadi, Mohammad Behshad Shaffi (2013), Promising Technology for Electronic Cooling: Nanofluidic Micro Pulsating Heat Pipes, Journal of Electronic Packaging, Vol. 135. [3]. Pramod R. Pachghare, Ashish M. Mahalle (2012), Thermal Performance of closed loop pulsating heat pipe using pure and binary working fluids, Frontiers in Heat Pipes (FHP), 3-033002. [4]. R K Sarangi, M V Rane (2013), Experimental Investigation for Start Up and Maximum Heat Load of Closed Loop Pulsating Heat Pipe, Chemical Civil and Mechanical Engineering Track of 3rd Nirma University International Conference, Procedia Engineering, pp. 683-687. [5]. Ashutosh Kr Singh (2013), Numerical Analysis of Performance of Closed – Loop Pulsating Heat Pipe, MTech Thesis, NIT Rourkela [6]. Jerin Robins E, A.Mani (2016), Falling Film evaporation on a thermal spray metal coated vertical corrugated plate conduits, International Refrigeration and Air Conditioning Conference [7]. Yuweng Zhang (2010) Nonlinear Analysis of Chaotic Flow in a Three-Dimensional Closed-Loop Pulsating Heat Pipe, Department of Mechanical and Aerospace Engineering, University of Missouri Columbia, MO 65211Journal of Marine Science and Technology
Elizabath Jincy Johnson, Sandeep M Joshi, R K Sarangi "Performance of Closed Loop Pulsating Heat Pipe: A Numerical Analysis" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.91-94 2017
The collection of sensor nodes, which form a dynamic and arbitrary network by connecting on a wireless medium is called wireless sensor networks. This definition implicitly describes that links may appear or disappear at any time because of node mobility & other factors. The communication is completely dependent on the nodes (source and destination) of network. For a network to work efficiently various protocols for routing have been developed. These protocols provide the path among distant nodes via multi-hop links to improve network efficiency. The Protocols’ performance affected by the various factors, such as mobility of nodes, varying network size, bandwidth and power consumption of node. This paper describes comparative analysis of protocols with reactive routing such as (AODV, DSR and DYMO) used in day-to-day scenario, under the Influence of different mobility models: like File, Group Mobility and Random-Way Point Model. The differentials of performance are investigated by altering the number of nodes and different mobility models, depending on the simulation results, how the efficiency of each protocol can be improved is also recommended. By using simulator we simulates throughput, average jitter packet delivery ratio and average end to end delay, in network layer hop count and RTS, CTS and ACK in MAC of protocols. For the above parameters simulation is performed with QualNet 5.0 simulator. The results show expressively noticeable Influence of mobility models on performance of routing protocols.
- Page(s): 95-101
- Date of Publication: 20 July 2017
- Meena MalikDepartment of Computer Science and Engg, Maharishi Dayanand University, Rohtak, Haryana, India.
- Dr. Mukesh SharmaDepartment of Computer Science & Engineering, The Technological Institute of Textile & Sciences, Bhiwani Haryana, India
References
[1]. Q. Jiang and D. Manivannan, “Routing techniques in wireless sensor networks:a survey,” CCNC ’04, pp. 93 – 98, 2014. [2]. C. Toh, A novel distributed routing protocol to support ad-hoc mobile computing, in: IEEE 15th Annual International Phoenix Conf., 2012, pp. 480–486. [3]. D. Johnson, Y. Hu, and D. Maltz. The Dynamic Source Routing Protocol (DSR) for Mobile Ad Hoc Networks for IPv4. RFC 4728 (Experimental), Feb. 2007. [4]. Wireless LAN media access control (MAC) and physical layer (PHY) specification, IEEE Standard 802.11, First edition. 2010 [5]. F. Bai, A. Helmy, “A Survey of Mobility Modeling and Analysis in Wireless Adhoc Networks” in Wireless Ad Hoc and Sensor Networks,Kluwer Academic Publishers, 2009 . 33-40. [6]. C. Mbarushimana and A. Shahrabi, “Comparative Study of Reactive and Proactive Routing Protocols Performance in Mobile Ad Hoc Networks”, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07). [7]. C. E. Perkins and E. M. Royer, “Ad-hoc On-Demand Distance Vector Routing”, Proc. 2nd IEEE Workshop on Mobile Computing Systems and Applications, Feb. 2015, pp. 90–100. [8]. Murthy and J. J. Garcia-Luna-Aceves, “An Efficient Routing Protocol for Wireless Networks”, ACM Mobile Networks and App. J., Special Issue on Routing in Mobile Communication Networks, Oct. 1996, pp. 183–97. [9]. Hong Jiang, “Performance Comparison of Three Routing Protocols for Ad Hoc Networks”, IEEE Journal on Computer Communication and Networks, Volume 3, PP.547-554, August 2002. [10]. Guolong Lin, Guevara Noubir and Rajmohan Rajaraman, "Mobility Models for Ad hoc Network Simulation", In Proceedings of IEEE INFOCOM 2004, Volume 1, pp. 7-11, 2004. [11]. “Qualnet 5.0 user’s Guide”, [online] Available : https://www.scalablenetworks.com/ [12]. Q. Li and D. Rus, “Sending messages to mobile users in disconnected ad-hoc wireless networks,” in Proceedings of 6th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2000, Boston, MA, August 6–11 2000, pp. 44–55. [13]. M. Grossglauser and D. N. C. Tse, “Mobility increases the capacity of ad-hoc wireless networks,” IEEE/ACM Transactions on Networking, vol. 10, no. 4, pp. 477–486, August 2002. [14]. W. Zhao, M. H. Ammar, and E. W. Zegura, “A message ferrying approach for data delivery in sparse mobile ad hoc networks,” in Proceedings of the 5th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2004, Roppongi Hills, Tokyo, Japan, May 24–26 2004, pp. 187–198. [15]. S. Jain, R. C. Shah, W. Brunette, G. Borriello, and S. Roy, “Exploiting mobility for energy-efficient data collection in sensor networks,” in Proceedings of the IEEE Workshop on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, WiOpt 2004, Cambridge, UK, March 24–26 2004. [16]. W. Zhao, M. H. Ammar, and E. W. Zegura, “Controlling the mobility of multiple data transport ferries in a delay-tolerant network,” in Proceedings of IEEE Infocom 2005, vol. 2, Miami, FL, March 13–17 2005, pp. 1407–1418. [17]. H. Jun, W. Zhao, M. H. Ammar, H. W. Zegura, and C. Lee, “Trading latency for energy in wireless ad hoc networks using message ferrying,” in Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications, PerComm 2005, Kawai, HA, March 8–12 2005, pp. 220–225. [18]. M. Mukarram Bin Tariq, M. H. Ammar, and E. W. Zegura, “Message ferry route design for sparse ad hoc networks with mobile nodes,” in Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2006, Firenze, Italy, May 22–25 2006, pp. 37–48. [19]. T. Spyropoulos, K. Psounis, and C. S. Raghavendra, “Performance analysis of mobility-assisted routing,” in Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2006, Firenze, Italy, May 22–25 2006, pp. 49–60. [20]. D. K. Goldenberg, J. Lin, A. S. Morse, B. E. Rosen, and Y. R. Yang, “Towards mobility as a network control primitive,” in Proceedings of the 5th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2004, Roppongi Hills, Tokyo, Japan, May 24–26 2004, pp. 163–174. [21] G. Wang, G. Cao, and T. F. La Porta, “Movement-assisted sensor deployment,” in Proceedings of IEEE INFOCOM 2004, vol. 4, Hong Kong, March 7–11 2004, pp. 2469–2479.
Meena Malik, Dr. Mukesh Sharma "An Investigation on Mobility Influence on MAC Protocols of Wireless Sensor Networks" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.95-101 2017
The need to access data is a very common requirement now a days, be it a non-profit organization or full-fledged business organization. Decision makers have always needed data to make informed and accurate decisions. Data-driven decision support systems, such as data warehouses can serve the requirement of extraction of information from more than one subject area. Data warehouse can provide the information required by the decision makers at their fingertips. Usually data warehouses are built for an organization where revenue and profits are more important. The data warehousing technology need not be limited to usage by business organizations, its usage can be extended to non-profit areas like education and e-governance which can enhance the productivity. Current enrollments count in thousands in any reputed institute. The management challenges include meeting diverse student needs, increased complexity in academic processes. The complexity of these challenges requires continual improvements in operational strategies based on accurate, timely and consistent information. An information warehouse can deliver the required information to the decision makers and provide an insight into the overall situation. This greatly facilitates decision makers in taking micro level decisions in a timely manner without the need to depend on their IT staff. This scenario is applicable to education domain also. This paper provides the way in which productivity of education institute can be improved by using data warehousing technology. .
- Page(s): 102-104
- Date of Publication: 20 July 2017
- Vinay Nayak Department of Information Science & Engineering, R.V.College of Engineering,Bengaluru-59, Karnataka, India
- Roopa E Department of Information Science & Engineering, R.V.College of Engineering,Bengaluru-59, Karnataka, India
References
[1]. Shaweta, Critical Need of the Data Warehouse for an Educational Institution and Its Challenges, international Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014, 4556-4559 [2]. Azwa Abdul Aziza et al., Framework for educational data warehouse (edw) architecture using business intelligence (bi) technologies, Journal of Theoretical and Applied Information Technology, Vol. 69 No.1 [3]. Manjunath T. N., Ravindra S. Hegadi, Umesh I. M., and Ravi Kumar G. K. “Realistic Analysis of Data Warehousing and Data Mining Application in Education Domain’’ in International Journal of Machine Learning and Computing, Vol. 2, No. 4, August 2012. [4]. W. H. Inmon. “’Building the Data Warehouse.” John Wiley & Sons, Third edition, USA, 2002. [5]. R. Wrembel, C. Koncilia. “Data Warehouses and OLAP: Concepts, Architectures, and Solutions”. Idea Group Inc (IGI), 2007.
Vinay Nayak, Roopa E "Empowering Educational Institutes Using Data Warehouse" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.102-104 2017
Many technologies have been introduced to improve the production of agricultural produce. But very little is done to protect the produce from being eaten by rodents or other intruders. These challenges should also be taken into account. Security systems these days are not smart enough to provide real time notification after sensing the problem. The technologies like Internet of Things and Wireless Sensor Networks can lead to agricultural modernization. We have designed, tested and analyzed an ’Internet of Things’ based device. Since, the devices in IoT have limited energy sources they often run on battery, the implementation of green communication and system design in IoT has been a core challenging issue. This paper addresses the energy efficiency issues across diverse IoT driven networks by proposing a system design for G-IoT for the IoT devices to extend the life expectancy of the whole IoT network. .
- Page(s): 105-108
- Date of Publication: 20 July 2017
- Prof. Rahul Tanappagol Assistant Prof., Dept. of ECE Shaikh College of Engineering and Technology Belagavi, India
- Rohit C SukhasareDept. of ECE Shaikh College of Engineering and Technology Belagavi, India f
References
[1]. Nikkila, R., Seilonen, I., Koskinen, K. 2010. ‘‘Software Architecturefor Farm Management Information Systems in Precision Agriculture.’’Comput. Electron. Agric. 70 (2), 328-336. [2]. Alexandros Kaloxylos, J Wolfert, Tim Verwaart, Carlos Maestre Terol,Christopher Brewster, Robbert Robbemond and Harald Sundmaker.‘‘The Use of Future Internet Technologies in the Agriculture and FoodSectors: Integrating the Supply Chain’’ in 6th International Conferenceon Information and Communication Technologies in Agriculture, Foodand Environment. pp. 51-60 [3]. Kevin Ashton, ‘‘That Internet of Things thing’’ RFID Journal, It can be accessed at: https://www.rfidjournal.com/articles/view?4986 [4]. D. Singh, G. Tripathi, A.J. Jara, ‘‘A survey of Internet-of Things: Future Vision, Architecture, Challenges and Services in Internet of Things (WFIoT), 2014 [5]. ‘‘Gartner, Inc. ’’ It can be accessed at:https://www.gartner.com/newsroom/id/2905717. [6]. Malik Tubaishat, Sanjay Kumar Madria ‘‘Sensor networks: AnOverview’’, IEEE Potentials 05/2003
Prof. Rahul Tanappagol, Rohit C Sukhasare "A Unique Solution for Security of Agriculture Produce Using Green IoT" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.105-108 2017
We propose a system to make the Human-Computer Interaction more user friendly by using a Smartphone as a medium for interaction. This paper discusses how different Smartphone sensors can be used to interact with the computer from a finite distance. We also discuss the literature survey, design, advantages and disadvantages of the proposed system.
- Page(s): 109-111
- Date of Publication: 20 July 2017
- Prof. Mritunjaykumar OjhaAssistant Professor, Department of Computer Engineering, Fr. C.R.I.T., Vashi, Navi Mumbai, India.
- Prashant DegaonkarStudent, Department of Computer Engineering, Fr. C.R.I.T., Vashi, Navi Mumbai, India.
- Omkar JadhavStudent, Department of Computer Engineering, Fr. C.R.I.T., Vashi, Navi Mumbai, India.
- Jibin ThomasStudent, Department of Computer Engineering, Fr. C.R.I.T., Vashi, Navi Mumbai, India.
- Jaison JohnStudent, Department of Computer Engineering, Fr. C.R.I.T., Vashi, Navi Mumbai, India.
References
[1]. A. Dix, J. Finlay, G. Abowd, and R. Beale, Human-Computer [2]. Interaction, 3rd ed. New York: Prentice Hall, 2003. [3]. Jones ,Michael ,and Paul Viola."Fast multi-view face detection," Mitsubishi Electric Research Lab TR-20003-96 3 (2003): 14. [4]. Widanagamaachchi, W. N., and A. T. Dharmaratne."Emotion Recognition with Image Processing and Neural Networks." [5]. Pylvänäinen, Timo."Accelerometer based gesture recognition using continuous HMMs," Iberian Conference on Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. [6]. Wu, Jiahui, et al."Gesture recognition with a 3-d accelerometer,"International Conference on Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 2009. [7]. Anjali Garg, Antara Datta, Gaurav Singh, Shrikant Pawar,“Gesture Controlled Computer Applications Using Embedded Accelerometer in Android Device,” International Journal of Engineering Research and General Science Volume 3, Issue 3, May-June, 2015 ISSN 2091-2730. [8]. Buchsbaum, Adam L., and Raffaele Giancarlo."Algorithmic aspects in speech recognition: An introduction." Journal of Experimental Algorithmics (JEA) 2 (1997): 1. [9]. Anusuya, M. A., and Shriniwas K. Katti."Speech recognition by machine, a review." arXiv preprint arXiv:1001.2267 (2010).
Prof. Mritunjaykumar Ojha, Prashant Degaonkar, Omkar Jadhav, Jibin Thomas, Jaison John "Human-Computer Interaction using Smartphones" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.109-111 2017
The review paper describes the application of image processing techniques for automatic detection of Glaucoma. Large percentages of people suffer from Glaucoma in rural and semi urban areas in India as well as world over. Image processing techniques greatly help to diagnosing Glaucoma. Glaucoma is dangerous eye disease causes permanent blindness when it is untreated in earlier stages. Until the disease reaches to an advanced stages it shows no symptoms hence regular eye test is very important. The automatic analysis involves using structural and texture features of retinal images. The key image processing elements to detect Glaucoma include image registration, fusion, segmentation, feature extraction, enhancement, pattern matching, image classification, analysis and statistical measurements. In developing and under developing countries large number of people are suffering from ophthalmic diseases like Glaucoma, Age related Macular Degeneration (AMD), Diabetic Retinopathy, Diabetic hypertension. A large deficit of ophthalmologists exists in these regions. Year after year the number of medical assistants is decreasing, while demand for healthcare is increasing and expected to touch 40% by 2020. The techniques mentioned in the present review have certain advantages and disadvantages. Based on this study, one can easily determine which technique provides optimum result.
- Page(s): 112-119
- Date of Publication: 20 July 2017
- Chethan Kumar N.SAssistant Professor, Department of ECE, C.Byre Gowda Institute of Technology, Kolar, India
- Dr. Somashekar KProfessor, Department of ECE, SJBIT, Bangalore, India
References
1]. Jun cheng, Jiang liu, et al, “Superpixel classification based optic disc and optic cup segmentation for glaucoma screening”, IEEE transactions on medical imaging, vol. 32, No. 6, june 2013. [2]. Tehmina Khalil, Samina Khalid and Adeel M, Syed ‘Review of Machine Learning Techniques for Glaucoma Detection and Prediction’ Science and Information Conference2014, August2729, 2014|London, UK. [3]. https://www.ces.clemson.edu/~ahoover/stare/https://www .ia.uned.es/~ejcarmona/DRIONSDB.Html [4]. A.Murthi & 2M.Madheswaran ‘Enhancement Of Optic Cup To Disc Ratio Detection In Glaucoma Diagnosis’ 978-14577-1583-9/12/$26.00 © 2012 IEEE [5]. Li Xiong, Huiqi Li and Yan Zheng ‘Automatic Detection of Glaucoma in Retinal Images’ 978-1- 4799- 43159/14/$31.00_c 2014 IEEE. [6]. Hafsah Ahmad, Abubakar Yamin, Aqsa Shakeel, Syed Omer Gillani, Umer Ansari ‘Detection of Glaucoma Using Retinal Fundus Images’ 978-1- 4799-5132-1/14/$31.00 ©2014 IEEE. [7]. Jun Cheng et al., “Sparse Dissimilarity- Constrained Coding for Glaucoma Screening” IEEE Transactions on Biomedical Engiineering, Vol. 62, No. 5, May 2015. [8]. https://www.glaucoma.org/glaucoma/types-of glaucoma.php [9]. https://www.hopkinsmedicine.org/wilmer/glaucoma_center_excellence/book/ch06s03.html [10]. https://www.opticdisc.org/tutorials/glaucoma_evaluation_basics/page13.htmlhttps://archopht.jamanetwork.com/article.aspx?articleid=418703https://www.ophthobook.com/questions/question what-is-the-isnt-rule-in-glaucoma [11]. Li Xiong, Huiqi Li and Yan Zheng ‘Automatic Detection of Glaucoma in Retinal Images’ 978-1-4799- 43159/14/$31.00_c 2014 IEEE. [12]. Mei-Ling Huang, Hsin-Yi Chen, Jian-Jun Huang: “Glaucoma detection using adaptive neuro-fuzzy inference system”, Expert Systems with Applications 32 (2007) 458–468. [13]. Jyotika Pruthi, Dr.Saurabh Mukherjee: “Computer Based Early Diagnosis of Glaucoma in Biomedical Data Using Image Processing and Automated Early Nerve Fiber Layer Defects Detection using Feature Extraction in Retinal Colored Stereo Fundus Images”, International Journal of Scientific & Engineering Research, Volume 4, Issue 4, April 2013. [14]. U. Rajendra Acharya, Sumeet Dua, Xian Du, “Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features”, IEEE Transactions On Information Technology In Biomedicine, May 2011, pp 449-455. [15]. Inoue, Kenji Yanashima, Kazushige Magatani, Takuro Kurihara, Naoto, “Development Of A Simple Diagnostic Method For The Glaucoma Using Ocular Fundus Pictures”, in the Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005. [16]. R¨udiger Bock, J¨org Meier, Georg Michelson, L´aszl´o G. Ny´ul, and Joachim Hornegger, “Classifying Glaucoma with Image-Based Features from Fundus Photographs”, DAGM 2007, LNCS 4713, pp. 355–364, 2007. Springer-Verlag Berlin Heidelberg 2007. [17]. Gayathri Devi T. M., Sudha S. and Suraj P., "Artificial neural networks in retinal image analysis," 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN), Chennai, 2015, pp. 1-6. doi: 10.1109/ICSCN.2015.7219921 [18]. S. Kavitha, S. Karthikeyan and K. Duraiswamy, "Early detection of glaucoma in retinal images using cup to disc ratio," 2010 Second International conference on Computing, Communication and Networking Technologies, Karur, 2010, pp. 1-5.doi: 10.1109/ICCCNT.2010.5591859 [19]. F. Khan, S. A. Khan, U. U. Yasin, I. ul Haq and U. Qamar, "Detection of glaucoma using retinal fundus images," The 6th 2013 Biomedical Engineering International Conference, Amphur Muang, 2013, pp. 1-5.doi:10.1109/BMEiCon.2013.6687674.
Chethan Kumar N.S, Dr. Somashekar K "Image Processing Techniques for Automatic Detection of Glaucoma - A Study" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.112-119 2017
The sudden demonetisation policy, which sucked out over 80 percent of the currency in circulation, has hurt the Indian economy with the RBI itself downgrading the growth forecast for this fiscal to 7.1 percent from 7.6 percent earlier. The abolition of Rs 500 and Rs 1000 notes had come as a shock to several Indian industries, especially the real estate market. The real estate market in India has already been witnessing a slow growth and with this move, this sector has become stagnant and will remain this way till there is clarity over money circulation and transactions. Unaccounted money or black money has been affecting the Indian economy for a while and the real estate sector is believed to be a popular channel for such funds. While many have welcomed this move, some have expressed their concern for the real estate market. This present paper is an attempt to understand the impact of this historical move on the real estate sector which is the second largest employer after agriculture and has been estimated to grow at 30 per cent over the next decade.
- Page(s): 120-124
- Date of Publication: 20 July 2017
- T.SrideviAssistant Professor, Bhavan’s Centre for Communication and Management, Bhubaneswar, Odisha, India
- Pragyan Parimita SarangiAssistant Professor, Srusti Academy of Management, Bhubaneswar, Odisha, India
References
T.Sridevi, Pragyan Parimita Sarangi "Demonetisation Policy: Its impact on the Real Estate Sector" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.120-124 2017
The research aims at analyzing the influence of institutional-specific and macroeconomic indicators on the non-performing assets of 7 new private sector banks in India for a period of 12 years from 2004-05 to 2015-16 using the econometric tools such as descriptive statistics, multiple correlation, augmented dickey-fuller test, granger causality and johansen co-integration test. The multiple correlation results portrayed a positive relationship for Gross Domestic Product Growth Rate (GDPGR) and Unemployment Rate (UR) whereas the Inflation Rate (IR) and Money Supply (MS) showed a negative relationship with the Gross Non-Performing Assets to Total Advances (GNPATA). The results of Augmented Dickey Fuller Test denote that the selected study variables don’t have Unit Root with them. The Granger Causality Test results confirmed that all the institutional-specific variables such as CAR, CRR, PLR, SLR, RR and RRR don’t granger cause the GNPATA. On the other hand, the macroeconomic variables such as IR, GDPGR and MS don’t granger cause whereas the UR alone does granger cause the GNPATA. Further the Johansen Co-integration Test results confirmed the co-integration of all the institutional-specific and macroeconomic variables with the GNPATA of New Private Sector Banks.
- Page(s): 125-132
- Date of Publication: 20 July 2017
- S. Gokul KumarSchool of Management Studies, Bannari Amman Institute of Technology, India
- M. JayanthiSchool of Commerce, PSG College of Arts and Science, India
- A. PrasanthSchool of Management Studies, Bannari Amman Institute of Technology, India
References
[1]. Satyajit Dhar and Avijit Bakshi (2015), Determinants of Loan Losses in Indian Banks – A Panel Study, Journal of Asia Business Studies. [2]. Saikat Ghosh Roy (2014), Determinants of Non-Performing Assets in India – Panel Regression, Eurasian Journal of Economics and Finance. [3]. Krishna Prasanna P (2014), Determinants of Non-Performing Loans in Indian Banking System, ICMBSE, Singapore. [4]. Ali Mirzaei and Zeynab Mirzaei (2011), Bank-specific and Macroeconomic Determinants of Profitability in Middle Eastern Banking, Iranian Economic Review. [5]. Anna P I Vong and Hoi Si Chan (2008), Determinants of Bank Profitability in Macao, Research Project, University of Macau. [6]. Yuqi Li (2007), Determinants of Banks’ Profitability and its Implication on Risk Management Practices: Panel Evidence from the UK, Research Project, the University of Nottingham. [7]. Abhiman Das and Saibal Ghosh (2007), Determinants of Credit Risk in Indian State-Owned Banks: An Empirical Investigation, Munich Personal RePEc Archive (https://mpra.ub.uni-muenchen.de/17301/). [8]. Khizer Ali, Muhammad Farhan Akhtar and Hafiz Zafar Ahmed (2011), Bank-Specific and Macroeconomic Indicators of Profitability – Empirical Evidence from the Commercial Banks of Pakistan, International Journal of Business and Social Science. [9]. Nutan N Thoke and Parikshit K Pachorkar (2012), Correlation Study of Financial Performance Indicators in Indian Public Sector Banks and Private Sector Banks, IBMRD’s Journal of Management and Research. [10]. Vighneswara Swamy (2013), Determinants of Bank Asset Quality and Profitability – An Empirical Assessment, Munich Personal RePEc Archive, (https://mpra.ub.uni-muenchen.de/47513/). [11]. Manoj P K (2010), Determinants of Profitability and Efficiency of Old Private Sector Banks in India with focus on Banks in Kerala State : An Econometric Study, International Research Journal of Finance and Economics. [12]. Viplaw Kishore Pandey and Harmeet Kaur (2012), NPA in Banking Sector: Some Correlational Evidence, Asian Journal of Research in Banking and Finance.
S. Gokul Kumar, M. Jayanthi, A. Prasanth "A Study on the Impact of Institutional-Specific and Macroeconomic Indicators on the Non-Performing Assets of New Private Sector Banks in India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.125-132 2017
The usage of electronics has increased exponentially with the growth of information and communication technology which in turn have led to an abrupt rise in the volumes of e-waste generated globally. In developing countries, formal and informal recycling systems exist simultaneously. But the major portion of e-waste is processed by the informal sector using primitive methods. The workers in the informal sector do not have proper machinery, protective equipments and also lack training in handling e-waste efficiently. This necessitates the integration of informal waste sector into their formal counterparts to lessen the negative effects. The paper presents an overview of the issues associated with processing of e-waste by the informal sector and examines the relation between the informal and formal sector. It also investigates the potential benefits and key challenges of integrating the informal sector into formal systems so as to increase the recycling capacity thus decreasing the amount of e-waste polluting the environment and imperiling the human health.
- Page(s): 133-136
- Date of Publication: 20 July 2017
- Japneet Dhillon Research Scholar, University Business School, Guru Nanak Dev University, Amritsar, Punjab, India
- Dr. Vikram Sandhu Assistant Professor, University Business School, Guru Nanak Dev University, Amritsar, Punjab, India
References
[1]. Solving the E-Waste Problem (Step) White Paper. (2014). One Global Definition of E-waste. Retrieved from https://www.step-initiative.org/files/step/_documents/StEP_WP_One%20Global%20Definition% 20of%20E-waste_20140603_amended.pdf [2]. India`s e-waste growing at 30% per annum: ASSOCHAM-cKinetics study. (2016). Retrieved from: https://www.assocham.org/newsdetail.php?id=5725 [3]. Electronics Take Back Coalition. “Facts and Figures on E-waste and Recycling.” June 25, 2014. Retrieved from: https://www.electronicstakeback.com/wp-content/uploads/Facts_and_Figures_on_ EWaste_and_Recycling.pdf [4]. Awasthi, A. K., & Li, J. (2017). Management of electrical and electronic waste: A comparative evaluation of China and India. Renewable and Sustainable Energy Reviews, 76, 434-447. [5]. Pinto, V. N. (2008). E-waste hazard: The impending challenge. Indian Journal of Occupational and Environmental Medicine, 12(2), 65–70. https://doi.org/10.4103/0019-5278.43263 [6]. Awasthi, A. K., & Li, J. (2017). Management of electrical and electronic waste: A comparative evaluation of China and India. Renewable and Sustainable Energy Reviews, 76, 434-447) [7]. Gupta, S. K. (2012). Integrating the informal sector for improved waste management. Private Sector and Development. [8]. ILO (2002), Women and Men in the Informal Economy: A Statistical Picture, International Labour Office, Geneva [9]. Snel, M. (1999). Integration of the formal and informal sector- waste disposal in Hyderabad, India. Waterlines, 17(3), 27-30. [10]. U.S. Environmental Protection Agency. (2012) Retrieved from: https://www.epa.gov/sites/production/files/2013-12/documents/ord-annual-report-2012_0.pdf [11]. Central Pollution Control Board. List of E-Waste Recyclers/ Dismantlers. Retrieved from: https://www.cpcb.nic.in/List_of_E-waste_Recycler_as_on_29.12.2016.pdf. [12]. MAIT-GTZ Study. (2007). E-Waste Assessment in India. Retrieved from: https://www. weeerecycle. in/publications/reports/ GTZ_MAIT_E-waste_Assessment_Report. pdf. [13]. Vinutha, V. The e-waste problem. Retrieved from: https://www.expresscomputeronline.com [14]. Link Toxic. Informal Sector Integration in E-waste Recycling, Environment and Livelihood Hand in Hand, Toxics Link, New Delhi; 2013. Retrieved from: https://toxicslink.org/docs/Environment_ and_Livelihoo_d-Hand_in_ Hand.pdf [15]. Bibhu Ranjan Mishra (2006), “India: A dumping ground for e-waste”, Business Standard, August 2006 [16]. Wilson DC, Velis C and Cheeseman C (2006) Role of informal sector recycling in waste management in developing countries. Habitat International 30: 797–808. [17]. Department of information technology & Umicore Precious Metals Refining. Geneva . (2007). Metals Recovery from e-scrap in a global environment. Retrieved from: https://archive.basel.int/industry/sideevent030907/umicore.pdf [18]. Gerdes P and Gunsilius E (2010) The Waste Experts: Enabling Conditions for Informal Sector Integration in Solid Waste Management. Lessons Learned from Brazil, Egypt and India. Vol 1. Eschborn: GTZ. [19]. Masood, M., & Barlow, C. Y. (2013). Framework for integration of informal waste management sector with the formal sector in Pakistan. Waste Management & Research, 31(10_suppl), 93-105. [20]. Borthakur, A., & Sinha, K. (2013). Electronic waste management in India: a stakeholder’s perspective. Electronic Green Journal, 1(36). [21]. Gunsilius, E. (2010). Role of the informal sector in solid waste management and enabling conditions for its integration: Experiences from GTZ. In Transwaste workshop on the Informal Sector, Geneva. [22]. Bhaskar, K. and Turaga, R. M. R. (2017), India's E-Waste Rules and Their Impact on E-Waste Management Practices: A Case Study. Journal of Industrial Ecology. doi:10.1111/jiec.12619 [23]. Raghupathy L., C. Krüger, A. Chaturvedi, R. Arora, M.P. Henzler, 2010, E-waste recycling in India: Bridging the gap between the informal and formal sector, in International Solid Waste Association, World Congress 2010, Hamburg, Germany, 14-19 November 2010 [24]. Li, X., Park, M., & Demirbilek, O. (2012). Comparison of informal and regulated WEEE collection methods in China. In International Conference on Environmental, Biomedical and Biotechnology, IPCBEE, Singapore (Vol. 41). [25]. Chi, X., Streicher-Porte, M., Wang, M. Y., & Reuter, M. A. (2011). Informal electronic waste recycling: a sector review with special focus on China. Waste Management, 31(4), 731-742. [26]. Lundgren, K. (2012) International Labor Office (ILO). The global impact of e-waste: addressing the challenge Retrieved from: https://www.ilo.org/wcmsp5/groups/public/---ed_dialogue/---sector/documents/publication/wcms_196105.pdf [27]. Velis, Costas A., et al. (2012) "An analytical framework and tool (‘InteRa’) for integrating the informal recycling sector in waste and resource management systems in developing countries." Waste Management & Research30.9_suppl : 43-66. [28]. Secretariat, R. S. (2011). E-waste in India. New Delhi, India Research Unit (Larrdis): Rajya Sabha Secretariat. [29]. Baldé, C.P., Wang, F., Kuehr, R., Huisman, J. (2015), The global e-waste monitor – 2014, United Nations University, IAS – SCYCLE, Bonn, Germany. [30]. https://www.step‐initiative.org/news.php?i d=0000000163
Japneet Dhillon, Dr. Vikram Sandhu "Integrating the Activities of Informal and Formal Sector in E-Waste Management: Potential Benefits and Challenges " International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.133-136 2017
Software development has become a complex phenomenon as there are increased and ever-changing expectations from clients. In fact the development teams often feel the pressure of releases. They indulge in less than ideal approaches as well to produce code. Sometimes they cut and paste code causing code duplicates or code clones. Clones can lead to propagation of bugs and cause maintenance issues. Detection of code clones has plethora of advantages including copyright protection, elimination of duplicates by refactoring, exploration of design patterns for industry best practices and so on. Analyzing big software projects and finding duplicates is tedious task. Many researchers contributed towards identifying different kinds of clones and detection techniques. However we felt a comprehensive and extendable framework that not only supports clone detection but also visualization techniques for easy comprehension are lacking. In this paper, we propose such framework named eXtensible Software Clone Detection Framework using ontology concept (XSCDF) which is generic and supports clone detection of different languages. It provides placeholders for future techniques. We built a prototype application using Java programming language to demonstrate the proof of concept. Ontology concept is used to visualize clone detection results. The empirical results reveal that the framework has multi-language support for duplicate code detection.
- Page(s): 137-148
- Date of Publication: 20 July 2017
- Syed Mohd Fazalul HaqueMaulana Azad National Urdu University, Hyderabad, Telangana, India
- V SrikanthK L University , Guntur, Andhra Pradesh, India
- E. Sreenivasa ReddyAcharya Nagarjuna University, Guntur, Andhra Pradesh, India
References
[1]. Chanchal K. Roy, James R. Cordy and Rainer Koschke. (2009). Comparison and Evaluation of Code Clone Detection Techniques and Tools: A Qualitative Approach. Science of Computer Programming , p1-43. [2]. K.B.Gopi Krishnan and K.R.Ananthapadmanaban. (2014). On the Node Clone Detection in Sensor Networks for Electronic Copy Right Management System. International Journal of Computer Applications. 2 (8), p345-355. [3]. Matthew Stephan and James R. Cordy. (2011). A Survey of Methods and Applications of Model Comparison. ACM , p1-42. [4]. Matthew Stephan and James R. Cordy. (2013). A Survey of Model Comparison Approaches and Applications. IEEE, p1-12. [5]. Krzysztof Czarnecki, Chang Hwan Peter Kim and Karl Trygve Kalleberg. (2006). Feature Models are Views on Ontologies. IEEE, p1-10. [6]. Iman Keivanloo, Juergen Rilling and Philippe Charland. (2011). SeClone - A Hybrid Approach to Internet-scale Real-time Code Clone Search.IEEE , p1-12. [7]. Douglas Martin and James R. Cordy. (2011). Analyzing Web Service Similarity Using Contextual Clones. ACM, p1-6. [8]. Kris Gybels and Andy Kellens. (2005). Experiences with Identifying Aspects in Smalltalk Using ’Unique Methods. ISSN , p1-6. [9]. Daniel Ratiu and Florian Deissenboeck. (2006). How Programs Represent Reality (and how they don’t). IEEE, p1-10. [10]. Stephanie Laufs, Guillermo Guenechea, Africa Gonzalez-Murillo, K. Zsuzsanna Nagy, M. Luz Lozano, Coral del Val, Sunitha Jonnakuty, Agnes Hotz-Wagenblatt, W. Jens Zeller, Juan A. Bueren and Stefan Fru. (2006). Lentiviral vector integration sites in human NOD/SCID repopulating cells. Inter Sciences. . (.), p1-11. [11]. Jason A. Young , Quinton L. Fivelman , Peter L. Blair , Patricia de la Vega , Karine G. Le Rochd, Yingyao Zhoud, Daniel J. Carucci , David A. Baker and Elizabeth A. Winzeler. (2005). The Plasmodium falciparum sexual development transcriptome: A microarray analysis using ontology-based pattern identification. ISSN. 143 , p67–79. [12]. M. J. Darias , J. L. Zambonino-Infante , K. Hugot & C. L. Cahu and D. Mazurais. (2008). Gene Expression Patterns During the Larval Development of European Sea Bass (Dicentrarchus Labrax) by Microarray Analysis. International Journal of Computer Applications. 10 , p416–428. [13]. Iman Keivanloo, Christopher Forbes, Juergen Rilling and Philippe Charland. (2011). Towards Sharing Source Code Facts Using Linked Data. ACM, p1-4. [14]. Paolo Tonella • Marco Torchiano • Bart Du Bois • Tarja Systä. (2007). Empirical studies in reverse engineering: state of the art and future trends. Springer Science. 12 , p551–571. [15]. Georgios Meditskos and Nick Bassiliades. (2007). Object-Oriented Similarity Measures for Semantic Web Service Matchmaking. IEEE , p1-10. [16]. Lorraine Pariset, Giovanni Chillemi, Silvia Bongiorni, Vincenzo Romano Spica and Alessio Valentini. (2009). Microarrays and high-throughput transcriptomic analysis in species with incomplete availability of genomic sequences. Ind. Eng. Chem. Res. 25, p1-8. [17]. Silvio Salvi and Roberto Tuberosa. (2005). To clone or not to clone plant QTLs: present and future challenges. ISSN. 10 (6), p1-10. [18]. Shahaboddin Shamshirband , NorBadrulAnuar, MissLaihaMatKiah and AhmedPatel. (2013).An appraisal and design of amulti-agent system based cooperative wireless intrusion detection computational intelligence technique. IEEE, p1-23. [19]. Michael Würsch , Giacomo Ghezzi , Matthias Hert , Gerald Reif and Harald C. Gall. (2012). SEON: a pyramid of ontologies for software evolution and its applications. Springer Science. 94 , p857–885. [20]. Melissa S. Cline, John Blume, Simon Cawley, Tyson A. Clark, Jing-Shan Hu, Gang Lu, Nathan Salomonis, Hui Wang and Alan Williams. (2005). ANOSVA: a statistical method for detecting splice variation from expression data. ISSN , p1-10. [21]. Henrik Leopold, JanMendling , HajoA.Reijers and MarcelloLaRosa. (2014). Simplifyingprocessmodelabstraction: Techniquesforgeneratingmodelnames. ISSN. 39, p134–151. [22]. Denys Poshyvanyk , Andrian Marcus , Rudolf Ferenc & Tibor Gyimóthy. (2009). Using information retrieval based coupling measures for impact analysis. Springer . 14 , p5-32. [23]. Yue Jia and Mark Harman. (2011). An Analysis and Survey of the Development of Mutation Testing. IEEE. 37 (5), p1-30. [24]. Adrian Kuhn, Stephane Ducasse and Tudor Gırba. (2005). Enriching Reverse Engineering with Semantic Clustering. IEEE. . (.), p1-10. [25]. Watanabe Takuya and Hidehiko Masuhara. (2011). A Spontaneous Code Recommendation Tool Based on Associative Search. ACM , p1-4. [26]. Pierre Vollenweider, Claudia Cosio, Madeleine S. Gunthardt-Goerg and Catherine Keller. (2006). Localization and effects of cadmium in leaves of a cadmium-tolerant willow (Salix viminalis L.).ACM. 58 , p25–40. [27]. Anshu Malhotra, Luam Totti, Wagner Meira Jr,Ponnurangam Kumaraguru and Virgılio Almeida. (2012). Studying User Footprints in Different Online Social Networks. IEEE , p1-6. [28]. Ashwin Kelkar and Deepti Deobagkar. (2016). A novel method to assess the full genome methylation profile using monoclonal antibody combined with the high throughput based microarray approach. ISSN , p1-6. [29]. Alon Mishne,Sharon Shoham and Eran Yahav. (2012). Typestate-Based Semantic Code Search over Partial Programs. ACM, p1-20. [30]. Yuri Nikolsky,Tatiana Nikolskaya and Andrej Bugrim. (2005). Biological networks and analysis of experimental data in drug discovery. ACM. 10 (9), p1-10. [31]. Kaur, P., Kaur, H. and Kaur, R. (2012). Comparison of Clone Detection Tools: CONQAT and SolidSDD. International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 5, p1-5. [32]. Syed Mohd Fazalul Haque, V Srikanth and E. Sreenivasa Reddy (2016). Present State-of-the-Art of Software Cloning and Detection Methods. Communicated to International Association for the Engineers.
Syed Mohd Fazalul Haque, V Srikanth, E. Sreenivasa Reddy "XSCDF: Towards a Framework for Comprehensive Software Clone Detection and Visualization using Ontology " International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.137-148 2017
Doubly Fed Induction Generator (DFIG) is the most popular variable speed generator for wind energy application due to its superior performance, lower cost and control flexibility. The DFIG has been widely used and researched in wind generator application. Instead of back-to-back converters, matrix converter (MC) can be a good alternative for connecting the DFIG rotor to the grid. This paper presents a matrix converter based control for a variable speed constant frequency (VSCF) DFIG. Design of DFIG based wind power generation system with the help of matrix converter is analyzed by means of MATLAB/SIMULINK block set.
- Page(s): 149-155
- Date of Publication: 20 July 2017
- Dhumal Chaitrali D Energy Technology, Department of Technology, Shivaji University, Kolhapur, 416004, India
- Mulla Masoomraja Z Energy Technology, Department of Technology, Shivaji University, Kolhapur, 416004, India
References
[1]. Suman Mondal and Debaprasad Kastha,member IEEE,” Improved Direct Torque and Reactive Power Control of a Matrix Converter Fed Grid Connected Doubly Fed Induction Generator”.2015. [2]. T. Friedli, J. W. Kolar, J. Rodriguez, and P. W. Wheeler, “Comparative evaluation of three-phase AC–AC matrix converter and voltage DC-link back-to-back converter systems,” IEEE Trans. Ind. Electron., vol. 59, no. 12, pp. 4487 - 4510, Dec. 2012. [3]. P R Aswathy, R. Rajesekaran, SNS College of Technology, Coimbatore, Tamilnadu,” Analysis of Power Transformation in DFIG Based Wind Farm Using Matrix Converter”.2014. [4]. Lars Helle and Stig Munk-Nielsen, Aalborg University,Institute of Energy Technology,”Comparison of Converter Efficiency in Large Variable Speed Wind Turbines”.2001. [5]. Benjamin.J.Harris,”matrix converter technology in DFIG for wind generator”, Faculty of informatics, University of Wollongong.2009. [6]. Zhixin Miao, Lingling Fan,”The art of modeling and simulation of induction generator in windgeneration applications using high-order model”, Midwest Independent Transmission System Operator, St. Paul, MN 55108, United States, Department of Electrical & Computer Engineering, North Dakota State University, Fargo, ND 58105, United States.2008. [7]. Amit Kumar Sinha, C.Hemalatha, Mridul Pandey, Dipayan Adhikary,”Performance Evaluation of Wind Energy Conversion System using Matrix Converter”.2014. [8]. Stephan Meier, Department of Electrical Engineering ETS,” Losses in Power Electronic Converters”. [9]. F.Boumaraf, L.Khettache,R.Abdessemed, M.L.Mendaas, Research Laboratory, Department of Electrical Engineering, University of Batna,”Power and torque ripple minimization of DFIG in WECS using Space vector modulation”.2014. [10]. C. Ponmani, M. Rajaram,”Compensation strategy of matrix converter fed induction motor drive under input voltage and load disturbances using internal model control”.2012 [11]. Martin Jones, I. Nyoman Wahyu Satiawan,” A simple multi-level space vector modulation algorithm for five-phase open-end winding drives”2012. [12]. Péter Stumpf, Rafael K. Járdán, István Nagy,” Analysis of the impact of space vector modulation techniques on the operation of ultrahigh speed induction machines”.2012. [13]. Mohammed T. Lazim, Muthanna J. M. Al-khishali, Ahmed Isa. Al-Shawi,” Space Vector Modulation Direct Torque Speed Control Of Induction Motor”.2011. [14]. Farid Khoucha, Soumia Mouna Lagoun, Khoudir Marouani, Abdelaziz Kheloui, Mohamed Benbouzid,” Hybrid Cascaded H-Bridge Multilevel-Inverter Induction-Motor-Drive Direct Torque Control for Automotive Applications”.2010.
Dhumal Chaitrali D, Mulla Masoomraja Z "A MATLAB Based Analysis of Direct Torque Control of a Matrix Converter Fed Grid Connected Doubly Fed Induction Generator" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.149-155 2017
With the rapid evolution of information and communication technologies (ICT), e-learning has become one of the major trends in web based learning. Nowadays, learners in an e-learning system are into virtual education environment in which they do not need others assistance in the process of learning. The role of social networks in e-learning is supportive and important. Social leaning occurs when a group of individuals interact to support each other in learning process using any media; one of them is social media. It is required to meet every learner’s individual needs through highly personalized recommendation system. This paper focuses on discussion of various works carried out on the importance of social media for a recommender system in an e-learning environment.
- Page(s): 156-158
- Date of Publication: 20 July 2017
- Vedavathi N Department of Computer Science and Engineering, NIE Institute of Technology, Mysuru, Karnataka, India
- Suhas Bharadwaj RDepartment of Computer Science and Engineering, NIE Institute of Technology, Mysuru, Karnataka, India
References
[1]. Ahmed Dahroug, Mohamed Abo-Rizka ,Abd El-Fattah Hegazy, 2015, The Impact of Social Media Networks on enhancing Students’ Performance in Online Learning Systems, IEEE. [2]. Ambrose A. Azeta, Ibukun O. Eweoya and Samuel Ojumah, 2014, Enhancing Educational Learning with Social Network Platform,IEEE [3]. Sabah Azam, Fang Wang, Jason Ng, 2014, Investigation of the Utilisation of Social Networks in E-learning at Universities, IEEE. [4]. Karen Kear, Jon Rosewell and Keith Williams, 2013, Quality Assurance For Excellence In E-Learning: The Role Of Social Networking, IEEE. [5]. Muhammad Anshari, Yabit Alas, Nor’Azmah Hj Mohd Yunus, Norakmarul Ihsan Pg Hj Sabtu, Malai Hayati Sheikh Abdul Hamid, 2016, “Online Learning: Trends, Issues, and Challenges in the Big Data Era”, Je-LKS, Journal of e-Learning and Knowledge Society, The Italian e-Learning Association Journal. [6]. Stefania Manca, Luca Caviglione, Juliana Elisa Raffaghelli, “Big data for social media learning analytics: potentials and challenges”, 2016 cognitive computing and innovative teaching models,Je-LKS, Journal of e-Learning and Knowledge Society, The Italian e-Learning Association Journal. [7]. Xin Chen, Mihaela Vorvoreanu, Krishna Madhavan, July-September 2014. “Mining Social Media Data for understanding Students’ Learning Experiences”, IEEE Transactions On Learning Technologies. [8]. Tanty Oktavia, Meyliana ,Harjanto Prabowo ,Raymond Kosala ,Suhono Harso Supangkat , 2016,A Conceptual Social Learning Ontology for Higher Education in E-Learning 2.0, IEEE. [9]. Evgeny Karataev and Vladimir Zadorozhny, 2017, Adaptive Social Learning Based on Crowdsourcing, IEEE. [10]. Surong Yan, Kwei-Jay Lin, Fellow, Xiaolin Zheng, Wenyu Zhang, and Xiaoqing Feng,2016, An Approach for Building Efficient and Accurate Social Recommender Systems using Individual Relationship Networks, IEEE. [11]. Bo Wu, Xiaokang Zhou, Qun Jin, Member,Fuhua Lin, and Henry Leung, 2017, Analyzing Social Roles Based on a Hierarchical Model and Data Mining for Collective Decision-Making Support, IEEE. [12]. Maria Rosario D. Rodavia, Melvin Ballera, Shaneth Ambat, 2017, AutoRec: A Recommender System based on Social Media Stream, IEEE. [13]. Muhammad Anshari & Yabit Alas & Lim Sei Guan,2015, Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge, Spinger. [14]. P. Campanella, S. Impedovo, 2015, Innovative Methods for the E-learning Recommendation, IEEE. [15]. Shuiguang Deng, Longtao Huang, Guandong Xu, Xindong Wu, and Zhaohui Wu, 2017, On Deep Learning for Trust-Aware Recommendations in Social Networks, IEEE. [16]. Natasa Hoic-Bozi,Martina HolenkoDlab,and Vedran Mornar, RecommenderSystemandWeb2.0ToolstoEnhance a Blended Learning Model, IEEE. [17]. Xiaosong Li, Kathiravelu Ganeshan, Guorong Xu,2012 “The Role of Social Networking Sites in E-learning”,IEEE.
Vedavathi N, Suhas Bharadwaj R "Issues and Challenges in Social Networks for Recommender System in E-Learning: A Survey" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.156-158 2017
Solid waste management is the major threat to the environment in the current scenario. Of the various waste materials, plastic wastes are of great concern. Plastics are not eco-friendly as they are non-biodegradable. On the other side, the traffic intensity is increasing. The load bearing capacities of the road are to be increased. Marbles naturally possess high strength and resilience. This work presents partial replacement of bitumen by polypropylene reprocessed plastic waste in bituminous mixes with marble chips as aggregate and also to make a comparative study on the effect of plastic waste in bituminous layer of flexible pavement with the normal aggregates and also with the replacement of normal aggregates by marble chips. Various tests are performed on the aggregates, marble chips, bitumen and also on the bituminous mix to examine the strength of the materials and the pavement. The Marshall stability tests are conducted for the bituminous mix samples of various proportions of 5, 10 & 15 percentage plastic and is examined to determine various aspects such as the stability and voids content. The results obtained through these test give considerable stability in pavement.
- Page(s): 159-162
- Date of Publication: 20 July 2017
- P PriyaAssistant Professor, Department of Civil Engineering, PSVPEC, Chennai, Tamil Nadu, India
- K ArchanaFinal Year BE Students, Department of Civil Engineering, PSVPEC, Chennai, Tamil Nadu, India
- C GohilaFinal Year BE Students, Department of Civil Engineering, PSVPEC, Chennai, Tamil Nadu, India
- R SaraswathiFinal Year BE Students, Department of Civil Engineering, PSVPEC, Chennai, Tamil Nadu, India
References
[1] IS 1200-1220 (1978) “Methods for testing tar and bituminous materials” ( First revision). [2] IS 1200-1220 (1978) “Methods for testing tar and bituminous materials” ( First revision). [3] .IRC 37-2012 “Tentatve guidelines for the design of flexible pavements” [4] is 73(2013) “paving bitumen” [5] use of waste plastic in flexible pavements-green roads, by Yash menaria, Rupal sankhla (2015) [6] improvement in strength of flexible pavement: an experimental approach by m.s.Ranadive and a.b.Tapase(2015) [7] Utilization of Waste Plastics in Construction of Flexible Pavements(Reuse of waste plastics – a path – breaking initiative) by Dr. R.Vasudevan (2015) [8] A Study on Utilization Aspects of Stone Chips as an Aggregate Replacement in Concrete in Indian Context by Saiyed Farhana , Parmar Bhumika , Prajapati Jayesh , Prof. Jayeshkumar Pitroda(2015) [9] Application of waste plastic as an effective construction material in flexible pavement by Sasane Neha.B, Gaikwad Harish, Dr.J.R.Patil and Dr.S.D.khandekar (2014) [10] Using Marble wastes as aggregate in hot mix asphalt production by SevilKofteci, Niyazi Ugur Kocka(2014) [11] Influence of polymer Additive on Bitumen and Asphalt Mixture Properties by Ziari Hassan, Divandari Hassan, Babagoli Rezvan, Akbari Ali(2014) [12] Use of waste plastic in construction pavement by Dr. Aslam, Professor & Head, Er. Shahan-ur- Rahman (2012) [13] Plastic waste modified bituminous surfacing for rural roads by Dr.P.K.Jain(2012) [14] Effective Utilization of Waste Plastic In Construction Of Flexible Pavement For Improving Their Performance by Mr.P.B.Rajmane Prof. A.K. Gupta Prof.D.B.Desai (2011)
P Priya, K Archana, C Gohila, R Saraswathi "Utilization of Waste Plastic in Flexible Pavement with Marble Chips as Aggregate" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.159-162 2017
There is general practice to support and compensate intermittent behavior of Solar photovoltaic (PV) system with energy storage devices (ESD) and the one generally adopted is battery energy storage (BES) simply because of lower cost as compared to fuel cells or a bank of super capacitors. However, cost of battery maintenance, inherent shorter life, even if state of charge (SOC) is regulated; involving comparatively huge capital investment is a big issue. In this paper, a stabilized hybrid photovoltaic-wind grid connected system without battery storage or ESD is developed with effective and co-ordinate control of current injection into grid with maximized harvest of PV energy using MPPT control and wind energy transfer control automatically. The control philosophy of energy transfer to PCC is an algebraic sum of energy using MPPT of PV system in relation to inverter stage while that of wind system is through wind converter. The stability mechanism of battery or ESD supported system, is getting replaced by a mechanism of current injection to grid by sharing both components of hybrid renewable sources. This is simulated in MATLAB/ Simulink to validate the effectiveness of proposed system.
- Page(s): 163-168
- Date of Publication: 20 July 2017
- Ramesh Chander BansalPhD Scholar, Electrical Engineering Department, Mewar University, Rajasthan, India
- Alok Kumar BharadwajProfessor, Electrical Engineering Department, Mewar University, Rajasthan, India
References
[1]. European Commission, EU Energy Trends to 2030, Luxembourg, Publications Office of the European Union, accessedon:https://ec.europa.eu/energy/observatory/trends_2030/, 2010. [2]. E. Koutroulis, K. Kalaitzakis, N. C. Voulgaris, “Development of a microcontroller-based, photovoltaic maximum power point tracking control system”. IEEE Transactions Power Electronics, vol. 16, No 1, pp. 46-54, 2001. [3]. I. Houssamo, F. Locment, M. Sechilariu, “Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms”. Renewable Energy, vol. 35, No 10, pp. 2381-2387, 2010. [4]. I. H. Altasa, A. M. Sharaf, “A novel maximum power fuzzy logic controller for photovoltaic solar energy systems”. Renewable Energy, vol. 33, No 3, pp. 388-399, 2008. [5]. Syafaruddin, E. Karatepe, T. Hiyama, “Polar coordinated fuzzy controller based real-time maximum-power point control of photovoltaic system”. Renewable Energy, vol. 34, no 12, pp. 2597-2606, 2009. [6]. C. Larbes, S. M. A. Cheikh, T. Obeidi, A. Zerguerras, “Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system”. Renewable Energy, vol. 34, No 10, pp. 2093-2100, 2009. [7]. T. Tafticht, K. Agbossou, M. L. Doumbia, A. Chériti, “An improved maximum power point tracking method for photovoltaic systems”. Renewable Energy, vol. 33, No 7, pp. 1508-1516, 2008. [8]. A. Chaouachi, R. M. Kamel, K. Nagasaka, “A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system”. Solar Energy 2010;84(12):2219-2229. [9]. N. Hamrouni, M. Jraidi, A. Chérif, “New control strategy for 2-stage grid-connected photovoltaic power system”. Renewable Energy, vol. 33, no 10 pp. 2212-2221, 2008. [10]. H. Mark, "Solar Electric Systems for Africa," Agrotech and Commonwealth Science Council, 2005. [11]. M. H. Rashid, Power Electronics, India: Pentice Hall, 2005. [12]. Muralidhar Killi, Samanta S., "Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems", IEEE Transactions on Industrial Electronics, Vol. PP, Issue 99, February 2015. [13]. Yohan Hong,Pham S.N., Taegeun Yoo, Kookbyung Chae, Kwang-Hyun Baek, Yong Sin Kim, "Efficient Maximum Power Point Tracking for a Distributed PV System under Rapidly Changing Environmental Conditions", IEEE Transactions on Power Electronics, Vol. 30, Issue 8, pp. 4209-4218, March 2015. [14]. J. L. Acosta, A. J. Collin, B. Hayes, and S. Z. Djokic, “Micro and Small-scale Wind Generation in Urban Distribution Networks,” presented at the 7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, Agia Napa, Cyprus, 2010, pp. 1–9. [15]. W.-H. Shi and J. Chen, “Reliability Assessment of Interconnected Generation Systems Based on Hourly Wind Speed Probability Model,” in SciVerse Science Direct, Chengdu, China, 2011, vol. 12, pp. 819–827. [16]. K. M. Nor, M. Shaaban, and H. A. Rahman, “Feasibility assessment of wind energy resources in Malaysia based on NWP models,” Renewable Energy, vol. 62, pp. 147–154, 2014. [17]. D. Saeidi, M. Mirhosseini, A. Sedaghat, and A. Mostafaeipour, “Feasibility study of wind energy potential in two provinces of Iran: North and South Khorasan,” Renewable and Sustainable Energy Reviews, vol. 15, pp. 3558–3569, 2011. [18]. A. Mostafaeipour, “Economic evaluation of small wind turbine utilization in Kerman, Iran,” Energy Conversion and Management, vol. 73, pp. 214–225, 2013. [19]. B. O. Bilal, M. Ndongo, C. M. F. Kebe, V. Sambou, and P. A. Ndiaye, “Feasibility study of wind energy potential for electricity generation in the northwestern coast of Senegal,” in Energy Procedia, 2013, vol. 36, pp. 1119–1129.
Ramesh Chander Bansal, Alok Kumar Bharadwaj "Exploring Control Design of a PV-Wind Hybrid On-Grid System without ESD " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.163-168 2017
Miniaturization and performance enhancement of the antenna is the major task in the field of microwave engineering. In this paper Square Mictrostrip antenna is designed for 2.4GHz frequency. For the antenna miniaturization and Bandwidth Improvement Regular Shaped DGS on Square microstrip Patch antenna (SQMSA) is used. The Design of DGS has been analyzed for different regular shaped slot DGS. The Simulation process has been done through High Frequency electromagnetic field Simulation Solution (HFSS-2013) which uses the highly accurate finite element method (FEM). The properties of antenna such as reflection co-efficient, bandwidth, virtual size reduction are determined and compared with the conventional Antenna without DGS. It is found that the antenna resonates at 1.6GHz with bandwidth 38 MHz and overall size reduction is found to be >53.12% in comparison with convention antenna. Further it’s also observed that simulated antenna has application in L-band and satellite phone.
- Page(s): 169-172
- Date of Publication: 20 July 2017
- Vidyadhar S. MelkeriResearch Scholar, Department of Applied Electronics Gulbarga University, Kalaburagi-06, Karnataka, India
- P V HunagundProfessor, Department of Applied Electronics Gulbarga University, Kalaburagi-06, Karnataka, India
References
[1]. C.A Balanis, “Antenna Theory : Analysis and Design,” 2nd edition, New York : John Wiley and sons,1997. [2]. Girish Kumar and K.P.Ray, “Broadband Microstrip Antennas,” London : Artech House ,2003 [3]. F. Yang, and Y. R. Samii, Electromagnetic band gap structures in antenna engineering, Cambridge University Press, 2008 [4]. Vidyadhar S Melkeri, Mallikarjun Lagshetty, P V Hunagund. International Journal of Electrical and Electronics and Telecommunication Engineering (IJEETE), “Microstrip Antenna with Defected Ground Structure: A Review” Recent science publication, London ISSN: 2051-3240. Vol. 46 Issue-1, February 2015 pp. 1492-1496 Impact factor 2.221. [5]. Vidyadhar S Melkeri, Mallikarjun Lagshetty, P V Hunagund. International Journal of Advance Research in Engineering and Technology (IJARET), “HShaped-Defected Ground Structure (DGS) Embedded Square Patch Antenna”, Vol. 6 Issue 1, January 2015, pp. 73-79, ISSN: 0976-6480 Impact factor 8.51. [6]. Manojkumar Brijlal Yadav, Bharti Singh, Vidyadhar S. Melkeri. International conference of Electronics, Communication and Aerospace Technology (ICECA 2017) “Design of Rectangular Microstrip Patch Antenna with DGS at 2.45GHz” organized during April 2017 by RVS Technical Campus, Coimbatore. pp. 93-99, ISBN 978-1-5090-5684-2. [7]. Vidyadhar S Melkeri, P V Hunagund. International Journal of Electrical and Electronics Engineers, (IJEEE) “Multiband Operation of Conventional SQMSA Embedded with DGS” Vol-7 Issue-2, July-December-2015, ISSN: 2321-2055, pp. 27-33, Impact factor 1.62. [8]. Vidyadhar S Melkeri, P V Hunagund. International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) “Enhancement of Antenna Parameters and multiband operation with change in shape and size of DGS in Microstrip antenna” Vol-3 Issue-10, Oct-2015, ISSN: 2320-9798, Impact factor 5.618. [9]. Vidyadhar S Melkeri, P V Hunagund, Lakshmi G K. International Journal of Science and Research (IJSR) “Effect of square defect on 2.4GHz Microstrip antenna” Vol-4 Issue-11, Oct-2015, ISSN: 2319-7064, Impact factor 6.142. [10]. Vidyadhar S Melkeri, P V Hunagund. International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) “Performance Analysis and Comparison of Square and Rectangular Antenna Embedded With Same DGS” Vol-3 Issue-2, Feb-2015, ISSN: 2320-9798, Impact factor 5.618.
Vidyadhar S. Melkeri, P V Hunagund "Regular Shaped DGS on SQMSA to Enhance the Performance" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.169-172 2017
Many times it happens that units produced or ordered are not of 100% good quality. A deterministic inventory model for imperfect quality items is developed when deterioration rate is different during a cycle with permissible delay in payment under inflation. Here it is assumed that holding cost is time dependent. Demand is considered as linear function of time. Numerical example is taken to support the model.
- Page(s): 173-179
- Date of Publication: 20 July 2017
- Raman PatelDepartment of Statistics, Veer Narmad South Gujarat University, Surat, India
References
[1]. Aggarwal, S.P. and Jaggi, C.K. (1995): Ordering policies for deteriorating items under permissible delay in payments; J. Oper. Res. Soc., Vol. 46, pp. 658-662. [2]. Chang, C.T., Teng, J.T. and Goyal, S.K. (2008): Inventory lot sizing models under trade credits; Asia Pacific J. Oper. Res., Vol. 25, pp. 89-112. [3]. Cheng, T.C.E. (1991): An economic quantity model with demand dependent unit production cost and imperfect production process; IIE Transactions, Vol. 23, pp. 23-28. [4]. Covert, R.P. and Philip, G.C. (1973): An EOQ model for items with Weibull distribution deterioration; American Institute of Industrial Engineering Transactions, Vol. 5, pp. 323-328. [5]. Ghare, P.M. and Schrader, G.F. (1963): A model for exponentially decaying inventories; J. Indus. Engg., Vol. 14, pp. 238-243. [6]. Goyal, S.K. (1985): Economic order quantity under conditions of permissible delay in payments, J. O.R. Soc., Vol. 36, pp. 335-338. [7]. Jaggi, C.K., Goyal, S.K. and Mittal, M. (2011) : Economic order quantity model for deteriorating items with imperfect quality and permissible delay in payment; Int. J. Indus. Engg. Computations, Vol. 2, pp. 237-248. [8]. Jamal, A.M.M., Sarker, B.R. and Wang, S. (1997): An ordering policy for deteriorating items with allowable shortages and permissible delay in payment; J. Oper. Res. Soc., Vol. 48, pp. 826-833. [9]. Min, J., Zhou, Y.W., Liu, G.Q. and Wang, S.D. (2012): An EPQ model for deteriorating items with inventory level dependent demand and permissible delay in payments; International J. of System Sciences, Vol. 43, pp. 1039-1053. [10]. Nahmias, S. (1982): Perishable inventory theory: a review; Operations Research, Vol. 30, pp. 680-708. [11]. Patel, R. and Sheikh, S.R. (2015): Inventory Model with Different Deterioration Rates under Linear Demand and Time Varying Holding Cost; International J. Mathematics and Statistics Invention, Vol. 3, No. 6, pp. 36-42. [12]. Patel, S. S. and Patel, R.D. (2012) : EOQ Model for Weibull Deteriorating Items with Imperfect Quality and Time Varying Holding Cost under Permissible Delay in Payments; Global J. Mathematical Science: Theory and Practical, Vol. 4, No. 3, pp. 291-301. [13]. Raafat, F. (1991): Survey of literature on continuously deteriorating inventory model, Euro. J. of O.R. Soc., Vol. 42, pp. 27-37. [14]. Ruxian, L., Hongjie, L. and Mawhinney, J.R. (2010): A review on deteriorating inventory study; J. Service Sci. and management; Vol. 3, pp. 117-129. [15]. Salameh, M.K. and Jaber, M.Y. (2000): Economic production quantity model for items with imperfect quality; J. Production Eco., Vol. 64, pp. 59-64. [16]. Teng, J.T., Chang, C.T. and Goyal, S.K. (2005): Optimal pricing and ordering policy under permissible delay in payments; International J. of Production Economics, Vol. 97, pp. 121-129.
Raman Patel "Inventory Model for Imperfect Quality Items with Different Deterioration Rates under Inflation and Permissible Delay in Payments" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.173-179 2017
Concrete has high compressive strength, but is remarkably weak in tension (about one-tenth its compressive strength), and as such, is usually reinforced with materials that are strong in tension. In the presence of reinforcement, the tensile load is transferred to the reinforcing material. An alternative to increasing the load carrying capacity of concrete in tension is the addition of fibres. Well-dispersed fibres in the concrete act to bridge the cracks that develop in concrete. The incorporation of fibres in a cement matrix leads to an increase in the toughness and tensile strength, and an improvement in the cracking and deformation characteristics of the resultant concrete. Sisal fibre is derived from the leaves of the plant. It is usually obtained by machine decortications in which the leaf is crushed between rollers and then mechanically scraped. The present study was carried out to check the fresh and hardened properties of sisal fiber reinforced self -compacting concrete with different percentage of fiber addition. Degree of workability of concrete mix with 0.2% super plasticizer and water cement ratio 0.31 had good workability which is effective, was obtained. Materials were hand mixed with 0.5%, 1% ,1.5% and 2% addition of fiber in M40 mix design and casted in cubes and cylinders. The super plasticizers are used in different percentages like 0.15%0.2%,1%&2%. The obtained specimens were subjected to test the compressive and split tensile strength. And the compressive and split tensile strengths of the specimens were analyzed after 7days and 28days of curing. .
- Page(s): 180-187
- Date of Publication: 20 July 2017
- Athulya SugathanAssistant Professor, Department of Civil Engineering, New Horizon College of Engineering, Visvesvaraya Technological University, Bangalore, India
References
[1]. H. Okamura, “Self Compacting High Performance Concrete – Ferguson Lecture for 1996,” Concrete International, Vol. 19, No. 7, 1997, pp. 50 – 54. [2]. K. Ozawa, K. Maekawa, and H. Okamura, “Development of the High Performance Concrete,” Proceedings of JSI, Vol. 11, No. 1, 1989, pp. 699 – 704. [3]. H. Okamura and M. Ouchi, “Applications of Self-Compacting Concrete in Japan,” Proceedings of the 3rd International RILEM Symposium on Self-Compacting Concrete, O. Wallevik and I. Nielsson, Ed., RILEM Publications, 2003, pp. 3 – 5. [4]. Brite-Euram Project No. BE96-3801/Contract BRPR-CT96-0366, 1998. [5]. A. Skarendahl and O. Petersson, “State of the Art Report of RILEM Technical Committee 174-SCC, Self-Compacting Concrete,” Paris, RILEM Publications S.A.R.L, 2000, 154 p. [6]. Testing SCC: Measurement of properties of fresh SCC, Contract GRD2-2000-30024, 2000. [7]. EFNARC: Specifications and Guidelines for SCC, EFNARC, Hampshire, UK, 2001, 29 pp. [8]. K. H. Khayat, “Viscosity-Enhancing Admixtures for Cement-Based Materials: An Overview,” Cement and Concrete Composites, Vol. 20, 1998, pp. 171 – 188. [9]. Tara Sen, H. N. Jagannatha Reddy (2011) Application of sisal, bamboo, coir and jute natural composites in structural up grading. [10]. Romildo Dias Toledo Filho, Kuruvilla Joseph and Khosrow Ghavami (1999) The use of sisal fibre as reinforcement in cement based composites. [11]. Subramanian S. and Chattopadhyay D.‟Experiments for Mix Proportioning o Self-Compacting Concrete”, The Indian Concrete Journal, January 2002, pp 13-20. [12]. IS 456-2000 Code of practice for plain and reinforced concrete (3rd revision). [13]. IS 10262-1982 Code of Practice for concrete Mix Proportioning-Guidelines (1stRevision). [14]. M.L.Gambhir. “Concrete technology (theory and practice), Fourth Edition. [15]. IS 2386(PT7) – 1963 Methods of test for aggregates for concrete. [16]. IS 516-1959 Method of test for strength of concrete.
Athulya Sugathan "Self Compacting Concrete Reinforced with Sisal Fibres" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.180-187 2017
Emotion has a significant part in cooperation and correspondence between individuals. Emotion can be communicated either verbally through emotional vocabulary, or by communicating non-verbal prompts, for example, sound of voice, outward appearances and motions. As of late, estimation of human emotions from Electroencephalogram (EEG) signals assumes a crucial part in evolving academic Brain Computer Interface (BCI) devices. In this article we present a novel approach to classify human emotions using a two-tier classifier which is a combination of both K-Nearest Neighbour (K-NN) and Neural Network (NN) classifier. The useful informations for classification is extracted from the input EEG signals after noise removal which is done by the process of pre-processing. The proposed work is implemented on MATLAB and the simulation results are presented.
- Page(s): 188-194
- Date of Publication: 20 July 2017
- Sujata B.WankhadeAnuradha Engineering College, Maharashtra, India
- Pravin A. KharatSharadchandra Pawar College of Engineering, Maharashtra, India
References
[1]. Lord, Catherine, Susan Risi, Linda Lambrecht, Edwin H. Cook, Bennett L. Leventhal, Pamela C. DiLavore, Andrew Pickles, and Michael Rutter. "The Autism Diagnostic Observation Schedule—Generic: A standard measure of social and communication deficits associated with the spectrum of autism." Journal of autism and developmental disorders no. 3, vol.30, pp.205-223, 2000. [2]. Kim, Yanghee, and Quan Wei. "The impact of learner attributes and learner choice in an agent-based environment." Computers & Education no. 2,vol.56, pp.505-514,2011. [3]. Clark, Andy. "Natural-born cyborgs." Cognitive technology: Instruments of mind pp.17-24, 2011. [4]. Van de Gevel, Ad JW, and Charles N. Noussair. "The nexus between artificial intelligence and economics." In The Nexus between Artificial Intelligence and Economics,. Springer Berlin Heidelberg, pp. 1-110, 2013. [5]. Plaza, Inmaculada, Lourdes MartíN, Sergio Martin, and Carlos Medrano. "Mobile applications in an aging society: Status and trends." 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In International Conference on Brain Informatics, Springer Berlin Heidelberg, pp. 89-100, 2010. [10]. Lin, Chin-Teng, Yu-Chieh Chen, Teng-Yi Huang, Tien-Ting Chiu, Li-Wei Ko, Sheng-Fu Liang, Hung-Yi Hsieh, Shang-Hwa Hsu, and Jeng-Ren Duann. "Development of wireless brain computer interface with embedded multitask scheduling and its application on real-time driver's drowsiness detection and warning." IEEE Transactions on Biomedical Engineering no. 5, vol.55, pp.1582-1591, 2008. [11]. Fazli, Siamac, Jan Mehnert, Jens Steinbrink, Gabriel Curio, Arno Villringer, Klaus-Robert Müller, and Benjamin Blankertz. "Enhanced performance by a hybrid NIRS–EEG brain computer interface." Neuroimage. no. 1, vol.59, pp.519-529, 2012. [12]. Rafiee, J., M. A. Rafiee, F. Yavari, and M. P. Schoen. "Feature extraction of forearm EMG signals for prosthetics." Expert Systems with Applications no. 4, vol.38, pp.4058-4067, 2011. [13]. Zhang, Shihua, Rui-Sheng Wang, and Xiang-Sun Zhang. "Identification of overlapping community structure in complex networks using fuzzy c-means clustering." Physica A: Statistical Mechanics and its Applications no. 1, vol.374, pp.483-490, 2007. [14]. Sharma, Nandita, and Tom Gedeon. "Objective measures, sensors and computational techniques for stress recognition and classification: A survey." Computer methods and programs in biomedicine no. 3,vol.108, pp.1287-1301, 2008. [15]. Chen, Fang, Jinghua Xu, Fanji Gu, Xuhong Yu, Xin Meng, and Zhicheng Qiu. "Dynamic process of information transmission complexity in human brains." Biological Cybernetics no. 4,vol.83, pp.355-366,2000. [16]. David, Olivier, Diego Cosmelli, and Karl J. Friston. "Evaluation of different measures of functional connectivity using a neural mass model." Neuroimage no. 2,vol.21, pp.659-673,2004. [17]. Petrantonakis, Panagiotis C., and Leontios J. Hadjileontiadis. "Emotion recognition from EEG using higher order crossings." IEEE Transactions on Information Technology in Biomedicine no. 2, vol.14, pp.186-197, 2010. [18]. Wang, Qiang, and Olga Sourina. "Real-time mental arithmetic task recognition from EEG signals." IEEE Transactions on Neural Systems and Rehabilitation Engineering no. 2 ,vol.21, pp.225-232, 2013. [19]. Zheng, Wei-Long, and Bao-Liang Lu. "Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks." IEEE Transactions on Autonomous Mental Development no. 3, vol.7, pp.162-175,2015. [20]. Musha, Toshimitsu, Yuniko Terasaki, Hasnine A. Haque, and George A. Ivamitsky. "Feature extraction from EEGs associated with emotions." Artificial Life and Robotics no. 1, vol.1, pp.15-19. [21]. Jenke, Robert, Angelika Peer, and Martin Buss. "Feature extraction and selection for emotion recognition from EEG." IEEE Transactions on Affective Computing no. 3, vol.5, pp.327-339, 2014. [22]. John Atkinson, Daniel Campos, “Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers” Expert Systems with Applications vol.47, pp.35–41, 2016. [23]. Xie, Jianwen, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, and Ariana E. Anderson. "Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms." Journal of Neuroscience Methods vol.282, pp.81-94, 2017. [24]. Zhang, Yong, Bo Liu, Xiaomin Ji, and Dan Huang. "Classification of EEG Signals Based on Autoregressive Model and Wavelet Packet Decomposition." Neural Processing Letters, pp.1-14, 2016. [25]. Murugappan, Murugappan, Nagarajan Ramachandran, and Yaacob Sazali. "Classification of human emotion from EEG using discrete wavelet transform."Journal of Biomedical Science and Engineering vol.3, no. 04, pp.390, 2010. [26]. Sohaib, Ahmad Tauseef, Shahnawaz Qureshi, Johan Hagelbäck, Olle Hilborn, and Petar Jerčić. "Evaluating classifiers for emotion recognition using EEG." In International Conference on Augmented Cognition, pp. 492-501, 2013
Sujata B.Wankhade, Pravin A. Kharat "A Novel Two-tier Classifier based on K-Nearest Neighbour and Neural Network Classifier for Emotion Recognition using EEG Signals" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.6 issue 7, pp.188-194 2017