In view of increasing pressure on crude oil reserves and environmental degradation as an outcome, fuels like Biofuel may present a sustainable solution as it can be produced from a wide range of carbon based feedstock. Thepresent investigation evaluates Biofuelas a C I engine fuel. The objectives of this report is to analyze the fuel consumption and the emission characteristic of a twin cylinder diesel engine that are using Biofuel& compared to usage of diesel that are available in the market. This report describes the setups and the procedures for the experiment which is to analyze the emission characteristics and fuel consumption of diesel engine due to usage of the both fuels. Detail studies about the experimental setup and components have been done before the experiment started. Data that are required for the analysis is observed from the experiments. Calculations and analysis have been done after all the required data needed for the thesis is obtained. The experiment used C I engine with no load which means no load exerted on it. A four stroke Twin cylinder C I engine was adopted to study the brake thermal efficiency, brake specific energy consumption, and emissions at different loads with the fuel of Biofuel. In this study, the diesel engine was tested usingBiofuel. By the end of the report, the successful of the project have been started which is Twin cylinder C I engine is able to run with Bio fuel but the engine needs to run by using diesel fuel first, then followed by Bio fuel and finished with diesel fuel as the last fuel usage before the engine turned off. The performance of the engine using Biofuel compared to the performance of engine with diesel fuel. Experimental results of Bio fuel and Diesel fuel are also compared.
- Page(s): 01-05
- Date of Publication: 30 September 2015
- Dr. Hiregoudar YerrennagoudaruProfessor (Thermal Power Engineering), Mechanical Engineering Department RYMEC Bellary, Karnataka, India
- Manjunatha KAssistant Professor (Thermal Power Engineering), Mechanical Engineering Department RYMEC Bellary, Karnataka, India.
- Shyam Sundar.RM.Tech (Thermal Power Engineering), Mechanical Engineering Department RYMEC Bellary, Karnataka, India.
References
[1]. Alan C. Hansen, Qin Zhang and Peter W. L. Lyne, “Ethanol–diesel fuel blends a review”, Bioresource Technology, Volume 96, Issue 3, February 2005, Pages 277-285. [2]. Hanbey Hazar, “Effects of biodiesel on a low heat loss diesel engine”, Renewable Energy 34 (2009) 1533–1537. [3]. Neven Voca,Boris Varga,Tajana Kricka, Duska Curic, Vanja Jurisic and Ana Matin, “Progress in ethanol production from corn kernel by applying cooking pre-treatment” Bioresource TechnologyVolume 100, Issue 10, May 2009, Pages 2712-2718. [4]. Avinash Kumar Agarwal, “Biofuels (alcohols and biodiesel) applications as fuels for internal combustion engines” Renewable Energy, 27 November 2006. [5]. Hakan, Bayraktar. “Experimental and theoretical investigation of using gasoline–ethanol blends in spark-ignition engines”, Renewable Energy,2005;Volume 30, Issue 11:pp1733-1747. [6]. Jason J, Daniel Marc, Rosen A, “Exergetic Environmental Assessment of Life Cycle Emissions for various Automobiles and Fuels, Exergy 2 (2002) 283-294 [7]. Hwanam Kima, Byungchul Choi, “Effect of ethanol–diesel blend fuels on emission and particle size distribution in a common-rail direct injection diesel engine with warm-up catalytic converter”, Renewable Energy 33 (2008) 2222–2228. [8]. De-gang Li, Huang Zhen, Lu˘ Xingcai, Zhang Wu-gao and Yang Jian-guang, “Physico-chemical properties of ethanol–diesel blend fuel and its effect on performance and emissions of diesel engines”, Renewable Energy 30 (2005) 967–976. [9]. Sehmus Altuna, Husamettin Bulutb and Cengiz Oner, “The comparison of engine performance and exhaust emission characteristics of sesame oil–diesel fuel mixture with diesel fuel in a direct injection diesel engine”, Renewable Energy 33 (2008) 1791–1795. [10]. Amjad Shaik, N Shenbaga Vinayaga Moorthi, and R Rudramoorthy, “Variable compression ratio engine: a future power plant for automobiles an overview,”Proc. IMechE Vol. 221 Part D April 2007. DOI: 10.1243/09544070JAUTO573. [11]. Jincheng Huang, Yaodong Wang, Shuangding Li, Anthony P. Roskilly,Hongdong Yu, Huifen Li, “Experimental Investigation on the Performance and Emissions of a Diesel Engine Fuelled with Ethanol-diesel Blend,”ATE 2697, 2008. [12]. T K Bhattacharya and T N Mishra, “Studies on Feasibility of using Lower Proof Ethanol-diesel Blends as Fuel for Compression Ignition Engines”,IE (I) Journal–AG 263 145, December 21, 2002 [13]. Alan C. Hansen, Peter W. L. Lyne, Qin Zhang, “Ethanol-Diesel Blends: A Step towards A Bio-Based Fuel for Diesel Engines”, American Society of Agricultural and Biological Engineers (ASAE) August 1, 2001. [14]. R.Kamo And W. Bryzik “Tacom/Cummins Adiabatic Engine Programm” Sae Paper No. 830314. [15]. P.Ram Mohan, K.Ram Mohan, C.M. Varaprasad “ Matching Of Injection Timing In L.H.R Engines For Fuel Economy” Proc Of 3rd Asian Pacific International Symposis On Combustion Energy And Energy Utilisation December 95. [16]. Van Sudhakar “Performance Analysis of Adiabatic Engine” Sae 840431. [17]. C.M.Varaprasad, K.Ram Mohan “Performanceofa Diesel Engine witha Semi-Adiabatic Piston on Diesel Methanol Mixtures” Dsir Seminar on Diesel Engines, Iit, Mumbai October 88. [18]. Rangaiaii Et Al “Performanceof Ceramic Coated Diesel Engines with Methanol Diesel Mixtures” 9th National Conference in C.I Engines and Combustion 1985. [19]. K. Ram Mohan, C.M Varaprasad. P. Ram Hohan “Performance Evaluation of Diesel Engine with A Air-Gap Insulated Piston” Annual Paper Meeting The Institution of Engineers. [20]. Dr.C.Prabhakar Reddy & C.M.Varaprasad “Performance Evaluation On 4-Stroke Semi-Adiabatic Diesel Engine Using Diesel Methanol Mixtures” Project Report 1997 Mechanical Department V.E.C Bellary-4. [21]. Mather and Sharma “Internal Combustion Engines” 7th Edition 1996. [22]. Eckland, E. E.; R. L Bechtold; T. J. Timbario; and P. W. McCallum, “State-of-the-Art Report on the Use of Alcohols in Diesel Engines”, SAE Paper No. 840118. [23]. Heisey, J. B. and S. S. Lestz, “Aqueous alcohol fumigation of a single-cylinder DI CI engine,”SAE Paper No. 811208. [24]. Likos, B.; T. J. Callahan; and C. A. Moses, “Performance and Emissions of Ethanol and Ethanol-Diesel Blends in Direct-Injected and Pre-Chamber Diesel Engines”, SAE Paper No. 821039. [25]. Khan, N and S. R. Gouahalli, “ Performance and Emission Characteristics of a Diesel Engine Burning Unstabilized Emulsions of Diesel Fuel with Water, Methanol, and Ethanol”, SAE Paper No. 811210. [26]. Lawson, A.; A. J. Last; A. S. Desphande; and E. W. Simmons, “Heavy-Duty Truck Diesel Engine Operation on Unstabilized Methanol -Diesel Fuel Emulsions”, SAE Paper No. 810346. [27]. Baker, Q. A., “Use of Alcohol-in-Diesel Fuel Emulsions and Solutions in a Medium-Speed Diesel Engine”, SAE Paper No. 810254. [28]. Irshad Ahmed Oxygenated Diesel, “Emissions and Performance Characteristics of Ethanol-Diesel Blends in CI Engines,” Society of Automotive Engineers, Inc. 2001-01-2475. [29]. Murat Karabektas A, Murat Hosoz B, “performance and emission characteristics of a diesel engine using isobutanol–diesel fuel blends”, Renewable Energy 34 (2009) 1554–1559. [30]. GVNSR Ratnakara Rao, V. Ramachandra Rajuand M. Muralidhara Rao, “Optimizing The Compression Ratio Of Diesel Fuelled C.I Engine”, ARPN Journal of Engineering and Applied Sciences, VOL. 3, NO. 2, APRIL 2008.
Dr. Hiregoudar Yerrennagoudaru, Manjunatha K, Shyam Sundar.R. "Investigation and Performance Evaluation of Pine oil blended with Diesel using the Twin Cylinder Diesel Engine." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.01-05 2015
Heat transfer by conduction (also known as diffusion heat transfer) is the flow of thermal energy within solids and non-flowing fluids, driven by thermal nonequilibrium (i.e. the effect of a non-uniform temperature field), commonly measured as a heat flux (vector), i.e. the heat flow per unit time (and usually unit normal area) at a control surface. Consider a square building wall which is made up of four different materials (refer Fig. 1). The wall is subjected to a hot temperature of 1000C (initial-condition) and is then subjected to various thermal boundary conditions and volumetric heat generation; as shown in a table below. By Computational Fluid dynamic (CFD) analysis i.e.Finite volume analysis for this state of Conduction ,we study the steady state temperature contours for the four different cases. We also analyse the heat transfer (positive for outward/heat-loss and negative for inward/heat-gain) from the different segments of the wall , total heat-gain, total heat-loss and energy balance; for the different cases. Finally we discuss the effect of volumetric heat generation on the results for the types [case C & D] of BCs and try to optimize our result.
- Page(s): 06-10
- Date of Publication: 30 September 2015
- Shantanu DuttaDepartment of Mechanical Engg. NSHM Knowledge Campus, Durgapur
References
[1]. H.Baig and M.A.Antar: Conduction/Natural convection analysis of heat transfer across multi layer building blocks”. 5th European Thermal Science Conference, Netherlands, (2008). [2]. Thomas Bloomberg, Heat conduction in two and three dimensions. Computer Modelling of Building Physics Application, Lund university Sweden(1996) [3]. Filipo de Monte, James V. Black & Donald E Amos :solving two dimensional Cartesian unsteady heat conduction problem for small value of time. International journal of Thermal Science Elsevier 60(2012) 106-113. [4]. A. Shidfara, G.R. Karamalib and J. Damirchia, “An inverse heat conduction problem with a nonlinear source term”, Nonlinear Analysis, 65, (2006), 615–621. [5]. F. de Monte, “Transient heat conduction in one-dimensional composite slab. A `natural' analytic approach”, International Journal of Heat and Mass Transfer, 43, (2000), 3607-3619. [6]. Aril Gustavsen,Christian Kohler, Dariush Arasteh,Dragan Curcija: Two dimensional Computational fluid dynamics and conduction simulations of heat transfer in window frames with internal cavities-M Tech Thesis. [7]. Njiofor, M. T. (2009). Tool for numerical discretisation: finite Volume method for diffusion problems. Cranfield University, UK. MSc Thesis. [8]. Finite volume methods - Eymard, Galluoët, et al. – 2000. [9]. Versteeg, H. K. and Malalasekera, W. (2007).An introduction to computational fluid dynamics: The finite volume method, 2nd Ed. Pearson Education, Harlow,England. [10]. Thermo Mechanical Properties of Materials: Aleksey .V. Marchenko, University of Norway.
Shantanu Dutta "A Computational Study of A Multi Solid Wall Heat Conduction Made Up of Four Different Building Construction Materials Subjected to Various Thermal Boundary Conditions." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.06-10 2015
This paper presents a suspended hexagonal Antenna. The hexagonal antenna with stub tunes for a two frequencies 1.9GHz(used in PCS mobile applications) and 2.4GHz (used in Bluetooth application ).In this paper demonstrate the suspended structure of the antenna that enhance the bandwidth of the antenna 102 MHz for PCS and 172 MHz for Bluetooth. The design of the proposed antenna is tested by experimentally. To study the effect of different height of the air gap on the performance of the antenna.
- Page(s): 11-15
- Date of Publication: 30 September 2015
- Archana B. NavalDepartment of Electronics Engineering All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune, Maharashtra, India.
- Dr. D. K. ShedgeDepartment of Electronics Engineering All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune, Maharashtra, India.
References
[1]. Balanis, ―Antenna Theory, Analysis and Design,‖ John Wiley & Sons, New York, 1997 . [2]. Oluyemi P. Falade, ―Single Feed Stacked Patch Circular Polarized Antenna for Triple Band GPS Receivers‖ IEEE transactions on antennas and propagation, vol. 60, no. 10, October 2012. [3]. Ali A. Dheyab Al-Sajee and Karim A. Hamad,―Improving bandwidth rectangular patch antenna using different thickness of dielectric substrate‖ ARPN Journal of Engineering and Applied Sciences VOL. 6, NO. 4, APRIL 2011 [4]. R.C. Jaiswal ―Efficient technique for Bandwidth Improvement of Mictrostrip Patch Antenna‖ IRACST – International Journal of Computer Networks and Wireless Communications (IJCNWC), ISSN: 2250-3501 Vol.2, No6, December 2012. [5]. Atser A. Roy ― Enhancing the Bandwidth of a Micro strip Patch Antenna using Slots Shaped Patch‖ American Journal of Engineering Research (AJER) 2013 [6]. Olivier Kramer, ―Very Small Footprint 60 GHz Stacked Yagi Antenna‖ IEEE transactions on antennas and propagation, vol. 59, no. 9, september 2011 [7]. Kwok L. Chung and Ananda S. Mohan ―A Circularly Polarized Stacked Electromagnetically Coupled Patch Antenna‖ IEEE transactions on antennas and propagation, vol. 52, no. 5, may 2004 [8]. Malik J. Farha et.al ―Bandwidth improvement of micro strip antenna using multiresonator with stacked geometry "Journal of Engineering and Development, Vol. 13, No. 4, Des (2009) [9]. Yazdan Khan, Ashish Kumar, Aakash Dhiman , ―Bandwidth Improvement of the Rectangular Micro strip Antenna by Using Single Dipole Stub‖ International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-2, Issue-4, April 2013 [10]. K. P. Ray, D. M. Suple and N. Kant , ― Suspended Hexagonal Micro strip Antennas for Circular Polarization‖ International Journal Of Microwave And Optical Technology, VOL.5 NO.3 MAY 2010 [11]. Hashmi, Zeb, ―Wideband high gain EBG resonator antennas with small footprints and all dielectric superstructure‖ IEEE transaction and propagation,VOL.62 NO 6,June 2014 [12]. Navin , ―Bandwidth enhancement for microstrip patch antenna using suspended techniques for wireless applications‖,vol-2,issues 5,May 2013 [13]. Zhixi Liang, ―Multiband Monopole Mobile Phone Antenna With Circular Polarization for GNSS Application‖ IEEE transactions on antennas and propagation, vol. 62, no. 4, april 2014 [14]. S.Siva sundara pandiana, ―New UWB Tri-Band Antenna for Cognitive Radio‖Science direct 2012. [15]. Y.Sung , ―Dual band circular polarized pentagonal slot antenna‖ IEEE ,vol10.2011 [16]. Anilkumar Patil , ―Comparative analysis of enhancing bandwidth of microstrip patch antenna‖IJRET,Eissn:2319,May 2014 [17]. Parmesh S. Pawar, ―Design of Suspended E-Shaped Capacitively Fed Microstrip Patch Antenna‖ Volume : 2 | Issue : 6 | June 2013 ISSN No 2277 – 8179 [18]. Stuti Srivastava, ―Duo Triangle Shaped Microstrip Patch Antenna Analysis for WiMAX lower band Application‖ Science direct Procedia Technology 10 ( 2013 ) 554 – 563,2013 [19]. Anshika Khanna, ―Bandwidth enhancement of modified square fractal microstrip patch antenna using gap-coupling‖ Elsevier Engineering Science and Technology, an International Journal 18 (2015) 286e293,OCT 2014 [20]. Gehan Sami, ―Tri-band microstrip antenna design for wireless communication applications ‖ NRIAG Journal of Astronomy and Geophysics (2013) 2, 39–44 [21]. U. Deepak, ―Dual Band SIR Coupled Dipole Antenna for 2.4/5.2/5.8 GHz Applications‖ Science direct Procedia Computer Science 46 ( 2015 ) 1311 – 1316 [22]. M. Ali. Dorostkar, ―shape Fractal Antenna for Wideband Communications‖ Science direct Procedia Technology 11 ( 2013 ) 1285 – 1291 [23]. Abou Al-Alaa, H.A. Elsadek, E.A. Abdallah, “Compact multi-band frequency reconfigurable planar monopoleantenna for several wireless communication application‖ Science direct Journal of Electrical Systems and Information Technology 1 (2014) 17–25 [24]. K. L. Wong and J. Y. Wu, ―Single-feed small circularly polarized square microstrip antenna,‖Electron. Lett. 33, 1833–1834, Oct. 23, 1997. [25]. K. L. Wong and M. H. Chen, ―Single-feed small circular microstrip antenna with circular polarization,‖ Microwave Opt. Technol. Lett. 18, 394–397, Aug. 20, 1998 [26]. W. S. Chen, C. K. Wu, and K. L. Wong, ―Novel compact circularly polarized square microstrip antenna,‖ IEEE Trans. Antennas Propagat. 49, 340–342, March 2001.220 COMPACT CIRCULARLY POLARIZED MICROSTRIP ANTENNAS. [27]. J. H. Lu, H. C. Yu, and K. L.Wong, ―Compact circular polarization design for equilateral triangular microstrip antenna with spur lines,‖ Electron. Lett. 34, 1989–1990, Oct. 15,1998. [28]. S. A. Bokhari, J. F. Zuercher, J. R. Mosig, and F. E. Gardiol, ―A small microstrip patch antenna with a convenient tuning option,‖ IEEE Trans. Antennas Propagat. 44, 1521–1528, Nov. 1996. [29]. J. Y. Wu, C. Y. Huang, and K. L. Wong, ―Compact broadband circularly polarized square microstrip antenna,‖ Microwave Optical Technol. Lett. 21, 423–425, June 20,1999. Asmita Mhamane,Meenakshi Pawar ―Designing of wideband Microstrip patch antenna for wireless applications‖ International Journal of Computer Applications® (IJCA) (0975 – 8887),2013. [30]. Sava B. Grković, ―Small Balanced Antennas for Bluetooth Applications‖ IEEE Mediterranean Electrotechnical Conference, Beirut, Lebanon, 13-16 April 2014.
Archana B. Naval, Dr. D.K.Shedge "Dual Band Suspended Hexagonal Patch Antenna." International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.11-15 2015
INTRODUCTION
The paper “A Study of Impact of Information
Technology on Agriculture Sector in Order to
Promote Agricultural Marketing in Pune City” gives
importance to the various methods that influences the
internal management of any company for doing Business
in the Agriculture Sector in order to promote it. The result
of the present research work/paper reveals that both the
Buyers & Suppliers in a Marketing Chain or Distribution
Channel uses Information Technology for developing and
maintaining business relationships on large scale in order
to promote the growth of agriculture sector. The
noticeable thing is that suppliers adopt the IT methods of
communication more quickly than the buyers in the
agricultural based marketing. However, in the future, the
new IT methods will definitely replace all the older
methods of communication, especially in agro based
companies or industries. Managers, therefore, need to
understand the affect and impact of IT on the nature of
communication in order to develop a strong relationship
with outsiders.
- Page(s): 16-20
- Date of Publication: 30 September 2015
- Prof. Shubhangi Vitthal GaikwadAssistant Professor & Head, Department of Commerce MAEER’S Arts, Commerce & Science College Pune, India
References
I. References a. Andrus D (2000); “E-commerce Strategies and Innovative Companies”; Seminar at the University of Birmingham. b. Ford D (1980); “The Development of Buyer-seller Relationship in Industrial Markets”; European Journal of Marketing; Vol.14 (5/6); pp. 339-53. c. Keen P (1991); Shaping the Future: Business Design through Information Technology; Harvard; Harvard Business School Press. d. Naude P and Holland C P (1996); “Business –to- Business Relationships”; in, Buttle F; Editor; The Relationship Marketing; Great Britain; Paul Chapman Publishing. II. Journals a. E.N.Murthy; GRK Murty; The icfai Journal of “Supply Chain Management”; Volume IV; No. 04; Hyderabad; December 2006. b. E.N.Murthy; GRK Murty; The icfai Journal of “Supply Chain Management”; Volume IV; No. 01; Hyderabad; March 2007. III. Publicationsa. Publisher: Elsevier B.V. Publication Name: The Industrial Marketing Management Subject: Business International ISSN: 0019-8501 Year: 1995 Beliefs, Opinions and Attitudes, Selling, Consumers, Bankers, Attitudes. b. Author: Ricard, Line, Filiatrault, Pierre, Perrien, Jean Publisher: Elsevier B.V. Publication Name: The Industrial Marketing Management Subject: Business, International ISSN: 0019-8501 Year: 1993 Bank Marketing. IV. Others Web (Internet) a. www.google.com b. www.yahoo.com c. www.icfaipress.org d. https://www.businessindia.com
Prof. Shubhangi Vitthal Gaikwad, "A Study of Impact of Information Technology on Agriculture Sector in Order to Promote Agricultural Marketing in Pune City." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.16-20 2015
The Swarm Intelligence-based Reinforcement Learning (SWIRL) method is proposed in this paper to efficiently generate Artificial Neural Network(ANN) based solutions to various problems. An aritificial neural networks learning method for mobile robot localization, which combines the two popular swarm inspired methods in computational intelligence areas: Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) to train the ANN models. The most used artificial neural networks(ANNs) models is the well-known multi-layer perceptron (MLP). Training neural networks is a complex task for reinforcement learning methods .The training process of MLPs for pattern classification problems consists of two tasks , the first one is the selection of an appropriate architecture for the problem , and the second is the adjustment of the connection weights of the network. Recently artificial neural networks based methods are applied to robotic systems. An ANN was trained to estimate a robot’s position relative to a particular local object and to correct the pose estimates from odometry using ultrasonic sensors.
- Page(s): 21-25
- Date of Publication: 30 September 2015
- Sabita MaliDepartment of Electronics and Communication Engg. ITER, SOA University, Bhubaneswar, Orissa, India
References
[1]. Bekey, G. A. & Goldberg, K.Y. (1993). Neural Networks in Robotics. Kluwer Academic Publishers, ISBN 0-7923-9268-X, Boston [2]. Chohra, A.; Sif, F. & Talaoubrid, S. (1995). Neural Navigation Approach of an Autonomous Mobile Robot in a Partially Structured Environment. [3]. J.Kennedy and Eberhart R.C., “Particle swarm optimization”, Proc. IEEE International Conference on Neural Networks, IV, Piscataway, NJ, pp. 1942- 1948,1995. [4]. N.M. Kwok et al., “Evolutionary computing based mobile robot localization”, Engineering Applications of Artificial Intelligence 19 (2006) 857–868 [5]. P. Tournassoud, “A strategy for obstacle avoidance and its application to multi-robot systems”, Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco, CA, USA, 1986, pp. 1224-1229. [6]. J. Latombe, ―Robot Motion Planning”, Kluwer Academic. [7]. Kurt Derr and Milos Manic, Multi-Robot, Multi-Target Particle Swarm Optimization Search in Noisy Wireless Environments”, Catania, Italy, May 21-23, 2009. [8]. Racz. J. & Dubrawski, A. (1994). Mobile Robot Localization with an Artificial Neural Network, International Workshop on Intelligent Robotic Systems IRS '94, Grenoble, France.
Sabita Mali, "Mobile Robot Localization Using Multi-Objective Optimization." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.21 -25 2015
The process of selecting the best from the list of alternatives available for selection is called decision making. Decision either is a day-to-day decision or a sensitive one which has greater impact to the organization or society. The decision making method requires a systematic procedure to define parameters which are necessary to take final decision as well as focused on how to bringing accuracy for collecting data for different parameters. Sometimes predefined parameters are not sufficient to take accurate decisions in solving general or real time problems, hence there may be provisions to add more parameters to the existing set that may comes either as a new or generated from processing of existing ones. The decision required by the people for purchasing a house in a particular area always being a difficult task. Because such decision parameters carries different importance to different people. For example an employee needs a house very close to his office because the person is staying only with his wife but another employee of same designation and salary choose a house in remote location because he is staying with his father, mother, children and all children are studying in the schools which located in that area. To solve such problem is a difficult task, which needed an efficient mathematical analysis. The present study is focused on fuzzy soft set and how it will helpful in effective & efficient decision making of the people in a short time.
- Page(s): 26-32
- Date of Publication: 30 September 2015
- Dr. R. K. BhardwajDeputy Director (R. & D.), Head, Department of Mathematics TIT Group of Institutes, Bhopal, Madhya Pradesh, India
- Dr. S. K. TiwariHead of Department, Mathematics Dr. C. V. Raman University, Raipur, Chhattisgarh, India.
- Kailash Chandra NayakM.Phil (Mathematics), Dr. C. V. Raman University, Raipur, Chhattisgarh, India.
References
[1]. Molodtsov P.v (1999) soft set theory first result ,computers and mathematics with application vol.37 [2]. Ahmad B.and Karal a(2009) “on fuzzy soft sets” advance in fuzzy system . [3]. Majhi P.K, BISWAS R.& Roy A.R (2001) “fuzzy soft sets “ journals of fuzzy MATHEMATICS. [4]. Bora ,Neog & Sut (2012) “some new operations on intuitions fuzzy soft set” international jouranal of soft computing and engg(ijsce).issn:2231-2307. [5]. Atanassov .k.(1986) “intuitionist fuzzy set and system “ 20.87-96 [6]. Gua .w.l.& Buehrer .d.j (1993) vague sets.IEEEtrans.system man cabernet 23(2),610-614 [7]. Atanassov .k (1994) operator over interval valued intuition fuzzy set and system 64 ,159-174 [8]. Yao .y.y (1998).relational interpretation of neighborhood operators and rough set operator .111(1-4) 239-259 [9]. Pawalak .z.(1982) rough set international journal of information science 11 341-356 [10]. Cagman N,enginoglu s. and CITAK F (2011) “ Fuzzy soft set theory and it its application “ Iranian journal of fuzzy &system vol-8,n-3 [11]. Thielle,(1999), On the concepts of qualitative fuzzy sets, IEEE International Symposium on Multiple valued Logic, 20-22, [12]. Molodtsov .D.(1999), Soft set theory-first results, Computers Math. Applic 37 (4/5)19-31 [13]. Yao.H.Y.Y.(1998), Relational interpretations of neighborhood operators and rough set approximation operators, Information Sciences 111 (1-4), 239-259 [14]. Gorzalzany.M.B,(1987) A method of inference in approximate reasoning based on interval-valued fuzzy sets, Fuzzy Sets and Systems 21, 1-17 [15]. Atanassov.k, (1986). Intuitionist fuzzy sets. Fuzzy Sets and Systems 20. 87-96 [16]. Pawlak.Z (1982), Rough sets, International Journal of Information and Computer Sciences 11, 341-356. Zadeh, L.A, (1965) Fuzzy Sets, In/or, and Controls. 338-353. [17]. _23_ W. Xu, J. Ma, S. Wang, and G. Hao, “Vague soft sets and their properties,” Computers & Mathematics with Applications, vol. 59, no. 2, pp. 787–794, 2010. [18]. X. Yang, T. Y. Lin, J. Yang, Y. Li, and D. Yu, “Combination of interval-valued fuzzy set and soft set,”Computers & Mathematics with Applications, vol. 58, no. 3, pp. 521–527, 2009. [19]. F. Feng, C. Li, B. Davvaz, andM. I. Ali, “Soft sets combined with fuzzy sets and rough sets: a tentativeapproach,” Soft Computing, vol. 14, no. 9, pp. 899–911, 2010. [20]. S. Bhattacharya and B. Davvaz, “Some more results on IF soft rough approximation space,” International Journal of Combinatorics, Article ID 893061, 10 pages, 2011. [21]. P. K. Maji, R. Biswas, and A. R. Roy, “Intuitionistic fuzzy soft sets,” Journal of Fuzzy Mathematics, vol. 9, no. 3, pp. 677–692, 2001. [22]. P. K. Maji, A. R. Roy, and R. Biswas, “On intuitionistic fuzzy soft sets,” Journal of Fuzzy Mathematics, vol. 12, no. 3, pp. 669–683, 2004. [23]. K. T. Atanassov, “Intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87–96, 1986. [24]. Y. Jiang, Y. Tang, Q. Chen, H. Liu, and J. Tang, “Interval-valued intuitionistic fuzzy soft sets and their properties,” Computers & Mathematics with Applications, vol. 60, no. 3, pp. 906–918, 2010. [25]. A. Aygunoglu and H. Aygun, “Introduction to fuzzy soft groups,” Computers & Mathematics with Applications, vol. 58, no. 6, pp. 1279–1286, 2009. [26]. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice-Hall, Upper-Saddle River, NJ, USA, 2001. [27]. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning. I,” Information Sciences, vol. 8, pp. 199–249, 1975. [28]. N. N. Karnik and J. M. Mendel, “Applications of type-2 fuzzy logic systems to forecasting of timeseries,” Information Sciences, vol. 120, no. 1, pp. 89–111, 1999. [29]. N. N. Karnik and J. M. Mendel, “Operations on type-2 fuzzy sets,” Fuzzy Sets and Systems, vol. 122, no. 2, pp. 327–348, 2001. [30]. J. M. Mendel, R. I. John, and F. Liu, “Interval type-2 fuzzy logic systems made simple,” IEEE Transactions on Fuzzy Systems, vol. 122, pp. 327–348, 2001. [31]. H. B. Mitchell, “Pattern recognition using type-II fuzzy sets,” Information Sciences, vol. 170, no. 2–4, pp. 409–418, 2005. [32]. M. Mizumoto and K. Tanaka, “Fuzzy sets of type-2 under algebraic product and algebraic sum,” Fuzzy Sets and Systems, vol. 5, no. 3, pp. 277–290, 1981. [33]. H. Wu, Y. Wu, and J. Luo, “An interval type-2 fuzzy rough set model for attribute reduction,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 2, pp. 301–315, 2009. [34]. J. Zeng and Z. Q. Liu, “Type-2 fuzzy hidden Markov models and their application to speech recognition,” IEEE Transactions on Fuzzy Systems, vol. 14, no. 3, pp. 454–467, 2006. [35]. F. Liu, “An efficient centroid type-reduction strategy for general type-2 fuzzy logic system,” Information Sciences, vol. 178, no. 9, pp. 2224–2236, 2008. [36]. J. M. Mendel, F. Liu, and D. Zhai, “α-Plane representation for type-2 fuzzy sets: theory and applications,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 5, pp. 1189–1207, 2009. [37]. J. M. Mendel and D. R. Wu, Perceptual Computing: Aiding People in Making Subjective Judgments, Wiley and IEEE Press, 2010. [38]. A. R. Roy and P. K. Maji, “A fuzzy soft set theoretic approach to decision making problems,” Journal of Computational and Applied Mathematics, vol. 203, no. 2, pp. 412–418, 2007. [39]. Z. Kong, L. Gao, and L. Wang, “Comment on A fuzzy soft set theoretic approach to decision making problems,” Journal of Computational and Applied Mathematics, vol. 223, no. 2, pp. 540–542, 2009. [40]. F. Feng, Y. B. Jun, X. Liu, and L. Li, “An adjustable approach to fuzzy soft set based decision making,” Journal of Computational and Applied Mathematics, vol. 234, no. 1, pp. 10–20, 2010. [41]. Y. Jiang, Y. Tang, and Q. Chen, “An adjustable approach to intuitionistic fuzzy soft sets based decision making,” Applied Mathematical Modelling, vol. 35, no. 2, pp. 824–836, 2011.
Dr. R. K. Bhardwaj, Dr. S. K. Tiwari, Kailash Chandra Nayak, "A Study of Solving Decision Making Problem Using Soft Set" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.26-32 2015
We have studied the structured pattern of PDN, Hex Cell & Hypercube through Graphical and Discrete structure for fabric of this architecture. That may be useful for calculate and analysis the connectivity and complexity of architecture. A data mapping algorithm using PDN has also been given in this paper. Which is may used to represent/map the direct link of node i. The topological properties of PDN/Hex Cell are reviewed and some lemmas are developed which may be beneficial for the future research. We are also tried to represent processor using binary and polynomial code for making circuit and calculate diameter of these architecture.
- Page(s): 33-37
- Date of Publication: 30 September 2015
- Sunil TiwariDepartment of Computer Science A.P.S. University, Rewa (M.P), India.
- Rakesh Kumar KatareDepartment of Computer Science A.P.S. University, Rewa (M.P), India.
References
[1] Singer J.,”A theorem in finite projective Geometry and some applications to number theory”,trans. American mathematical society, vol. 43,pp.377-385,1938. [2] Katare,R.K. and Chaudhari, N.S “Study of Topological Property of Interconnection Networks and its mapping to Sparse Matrix Model”, International Journal of Computer Science and Applications, 2009 Technomathematics Research Foundation.Vol. 6, No. 1, pp. 26 – 39 [3] Behrooz, Parhami., and Mikhail, R., “Perfect Difference Networks and related Interconnection Structures for Parallel and Distributed Systems”, IEEE transactions on parallel and distributed systems, vol. 16, no. 8, august 2005, pp714-724 [4] Sharieh Ahmed,Qatawneh Mohammad, Almobaideen wesam, sleit azzam, “Hex-Cell: Modeling, Topological Properties and Routing Algorithm “European Journal of Scientific Research,ISSN 1450-216X Vol.22 No.2(2008) [5] Tiwari,S.,Katare,R.K.” A Study of Hex-cell, complete graph and Perfect Difference Network (PDN), 2nd International Confrence on Emerging Trends in computer science,communication and information Technology,ISBN978-81-923487-1-1(2015). [6] Ammon, J., Hypercube Conncetivity within cc NUMA architecture Silicon Graphics, 201LN. Shoreline Blvd. Ms 565, Mountain View, CA 91343. [7] Katare, R.K ., Chaudhari, N.S., A Comparative Study of Hypercube and Perfect Difference Network for Parallel and Distributed System and its Application to Sparse Linear System, Vol. 2 Sandipani Academic, Ujjain [M.P.] pp. 13-30,2007. [8] Saad, Y. and Schultz, M. H., “Topological Properties of Hypercubes”, IEEE transactions on computers, Vol. 37 No. 7 pp. 867-872, July 1988. [9] Katare,R.K.,Chaudhari,N.S.,Mugal,S.A.,Verma,S.K.,Imran,S.,Raina,R.R.”Study of Link Utilization of Perfect Difference Network and Hypercube”Conference on "FECS", The 2013 World Congress in Computer Science, Computer Engineering and Applied Computing, Las Vegas, Nevada, USA, July 22-25, 2013. [10] Lee, M. , Little, G., "Study of radiation modes for 45-deg tilted fiber phase gratings", Optical Engineering, 37:(10), 1998, pp. 2687-2698. [11] C. Decayeux and D. Seme, “3D Hexagonal Network: Modeling, Topological Properties, Addressing Scheme, and Optimal Routing Algorithm,” IEEE Transaction on Parallel and Distributed Systems, Vol. 16, No. 9, 2005, pp. 875-884. doi:10.1109/TPDS.2005.100 [12] Katare Rakesh, Tiwari Sunil, “Hamiltonian, Topological properties of Hex-Cell and Perfect Difference Network (PDN) for design new Hybrid Architecture for Parallel System,”National Seminar on Recent Trends in Science and Technology”,March 30-31, 2015 , MPCST,Bhopal(M.P.) [13] Behrooz, Parhami., and Mikhail, R., “Application of Perfect Difference Sets to the Design of Efficient and Robust Interconnection Networks” [14] Behrooz, Parhami., and Mikhail, Rakov., “Performance, Algorithmic, and Robustness Attributes of Perfect Difference Networks”, IEEE transactions on parallel and distributed systems, vol. 16, no. 8, pp 725-736.2, August 2005.
Sunil Tiwari, Rakesh Kumar Katare "A Study of Fabric of Architecture Using Structural Pattern and Relation" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.33-37 2015
In view of increasing pressure on crude oil reserves and environmental degradation as an outcome, fuels like Biofuel may present a sustainable solution as it can be produced from a wide range of carbon based feedstock. Thepresent investigation evaluates Biofuelas a C I engine fuel. The objectives of this report is to analyze the fuel consumption and the emission characteristic of a twin cylinder diesel engine that are using Biofuel& compared to usage of diesel that are available in the market. This report describes the setups and the procedures for the experiment which is to analyze the emission characteristics and fuel consumption of diesel engine due to usage of the both fuels. Detail studies about the experimental setup and components have been done before the experiment started. Data that are required for the analysis is observed from the experiments. Calculations and analysis have been done after all the required data needed for the thesis is obtained. The experiment used C I engine with no load which means no load exerted on it. A four stroke Twin cylinder C I engine was adopted to study the brake thermal efficiency, brake specific energy consumption, and emissions at different loads with the fuel of Biofuel. In this study, the diesel engine was tested usingBiofuel. By the end of the report, the successful of the project have been started which is Twin cylinder C I engine is able to run with Bio fuel but the engine needs to run by using diesel fuel first, then followed by Bio fuel and finished with diesel fuel as the last fuel usage before the engine turned off. The performance of the engine using Biofuel compared to the performance of engine with diesel fuel. Experimental results of Bio fuel and Diesel fuel are also compared.
- Page(s): 38-41
- Date of Publication: 30 September 2015
- Y. AnithaECE, Anna University Jeppiaar Engineering College, Chennai, Tamil Nadu India
References
[1]. S. Sanayei and A. Nosratinia, ―Antenna selection in MIMO systems,‖ IEEE Commum. Mag., vol. 42, no. 10, pp. 68–73, Oct. 2004. [2]. A .F .Molisch andM. Z.Win, ―MIMOsystems with antenna selection,‖ IEEE Microw. Mag., vol. 5, no. 1, pp. 46–56, Mar. 2004. [3]. I. Berenguer, X. Wang, and V. Krishnamurthy, ―Adaptive MIMO antenna selection via discrete stochastic optimization,‖ IEEE Trans.Signal Process., vol. 53, no. 10, pp. 4315–4329, Nov. 2005. [4]. Z. Chen, J. Yuan, and B. Vucetic, ―Analysis of transmit antenna selection maximal-ratio combining in Rayleigh fading channels,‖ IEEETrans. Veh. Technol., vol. 54, no. 4, pp. 1312–1321, Jul. 2005. [5]. H. Zhang and H. Dai, ―Fast MIMO transmit antenna selection algorithms: a geometric approach,‖ IEEE Commun. Lett., vol. 10, no. 11, pp. 754–756, Nov. 2006. [6]. D. A. Gore and A. Paulraj, ―MIMO antenna subset selection with space-time coding,‖ IEEE Trans. Signal Process., vol. 50, no. 10, pp. 2580–2588, Oct. 2002. [7]. Z. Chen, J. Yuan, B. Vucetic, and Z. Zhou, ―Performance of Alamouti scheme with transmit antenna selection,‖ Electron. Lett., vol. 39, no. 23, pp. 1666–1668, Nov. 2003. [8]. D. J. Love, ―On the probability of error of antenna-subset selection with space-time block codes,‖ IEEE Trans. Commun., vol. 53, no. 11, pp. 1799–1803, Nov. 2005. [9]. S. Peters and R.W. Heath, ―Nonregenerative MIMO relaying with optimal transmit antenna selection,‖ IEEE Signal Process. Lett., vol. 15, pp. 421–424, 2008.
Y. Anitha "VLC Based Contextual Indoor Navigation System using Arduino" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.38-41 2015
As per the vision of Government of India, Indian automotive industry should work in such a way, where it arises as the terminus of choice in the domain for design and manufacturing of automobiles with output reaching a level of USD 145 billion accounting for more than 10% of the GDP and providing additional employment to 25 million people by 2016. Thus, if above statement emerges as a truth, then purchasing power of Indians will increase – obviously - but problems related to it will also take a giant leap i.e. more no. of vehicles on road as well as more accidents. To overcome this problem various Indian OEM’s have geared themselves & have tried to lure customers by introducing various safety features in their newly launched products. This paper helps to understand why Indian automotive industry has started emphasizing more on safety & an answer to a question i.e. Whether OEM’s are really serious regarding providing safety at affordable price or they simply bluff about there achievements? Answer to this question will be accomplished with the help of comparisons on basic safety features (keeping some of the most important vehicle selection parameters in mind) in category of one of the fastest emerging vehicle segment in India i.e. mid-sedan.
- Page(s): 42-45
- Date of Publication: 30 September 2015
- Maheshkumar R. PhogatAutomobile Engineering Department A D Patel Institute of Technology, New V V Nagar, Anand, Gujarat, India
References
Reports and User Guide:- [1]. Accidental Deaths & Suicides in India (2014), National Crime records Bureau, Ministry of Home affairs, Government of India [2]. Automotive Mission Plan (2006-2016), Ministry of Heavy Industries & Public Enterprises, Government of India [3]. Job No. 936, Honda Brouchure, Size: A4 Close, Date: 24/12/2014 [4]. Hyundai Motor India Ltd Brouchure July-August 2015 [5]. Maruti Suzuki Dzire e-brouchure [6]. Ford India Private Limited Brouchure - July 2015 [7]. Zest Brouchure (PC_10 SK _512278) Website:- [8]. https://www.siamindia.com/statistics.aspx?mpgid=8&pgidtrail=13 [9]. https://www.siamindia.com/statistics.aspx?mpgid=8&pgidtrail=14 [10]. https://www.siamindia.com/statistics.aspx?mpgid=8&pgidtrail=12 [11]. https://www.cartrade.com/new-cars/on-road price?car=MzAyNyNhbmFuZA [12]. https://www.cartrade.com/new-cars/on-road- price?car=MzM1MSNhbmFuZA [13]. https://www.cartrade.com/new-cars/on-road-price?car=MjY5NyNhbmFuZA [14]. https://www.cartrade.com/new-cars/on-road-price?car=MjQyMCNhbmFuZA [15]. https://www.cartrade.com/new-cars/on-road-price?car=Mjg5MCNhbmFuZA
Maheshkumar R. Phogat "Current Emphasis on Safety by Indian Automotive Industry & Comparison of Various Safety Features in Fastest Emerging Vehicular Segment of Mid-Sedan" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.42-45 2015
An inventory model with linear trend in demand and time varying holding cost is developed. Different deterioration rates are considered in a cycle. Shortages are allowed and completely backlogged. Numerical example is provided to illustrate the model and sensitivity analysis is also carried out for parameters.
- Page(s): 46-51
- Date of Publication: 30 September 2015
- Raman PatelDepartment of Statistics Veer Narmad South Gujarat University, Surat, India
- S.R. SheikhDepartment of Statistics V.B. Shah Institute of Commerce and Management, Amroli, Surat, India.
References
[1] Aggarwal, S.P. (1978): A note on an order level inventory model for a system with constant rate of deterioration; Opsearch, Vol. 15, pp. 184- 187. [2] Dave, U. and Patel, L.K. (1981): (T, si)-policy inventory model for deteriorating items with time proportional demand; J. Oper. Res. Soc., Vol. 32, pp. 137-142. [3] Ghare, P.N. and Schrader, G.F. (1963): A model for exponentially decaying inventories; J. Indus. Engg., Vol. 15, pp. 238-243. [4] Goyal, S.K. and Giri, B. (2001): Recent trends in modeling of deteriorating inventory; Euro. J. Oper. Res., Vol. 134, pp. 1-16. [5] Hill, R.M. (1995): Inventory models for increasing demand followed by level demand; J. Oper. Res. Soc., Vol. 46, No. 10, pp. 1250-1259. [6] Hung, K.C. (2011): An inventory model with generalized type demand, deterioration and backorder rates; Euro. J. Oper. Res, Vol. 208, pp. 239- 242. [7] Mandal, B. and Pal, A.K. (1998): Order level inventory system with ramp type demand rate for deteriorating items; J. Interdisciplinary Mathematics, Vol. 1, No. 1, pp. 49-66. [8] Mathew, R.J. (2013): Perisable inventory model having mixture of Weibull lifetime and demand as function of both selling price and time; International J. [9] Raafat, F. (1991): Survey of literature on continuous deteriorating inventory model, J. of O.R. Soc., Vol. 42, pp. 27-37. [10] 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. [11] Shah, Y.K. and Jaiswal, M.C. (1977): An order level inventory model for a system with constant rate of deterioration; Opsearch; Vol. 14, pp. 174-184.
Raman Patel, S.R. Sheikh "Deteriorating Items Inventory Model with Different Deterioration Rates and Shortages" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.46-51 2015
Understanding the user’s behaviour in the telecommunication is very important towards improving the quality of information and the speed of accessing large-scale telecom data sources. Churn analysis is extremely helpful in developing a sustainable and robust strategy for customer retention in the telecom company. When the companies are aware of the percentage of customers who end their relationship with it in a given time period, they can easily come up with a detailed analysis of the causes for the churn rate. This helps in developing effective customer retention programs for the company. This paper proposes a novel technique for analysing the user’s behaviour using the Rough Set Theory.
- Page(s): 52-55
- Date of Publication: 30 September 2015
- Haridas KatariaLecturer, Department of Computer Science Govt. Polytechnic for Women, Sirsa, India
- Dr. Vikram SinghProfessor, Department of Computer Science CDLU, Sirsa, India.
References
[1]. Zhang, T., Ramakrishnan, R., & Livny, M. (1996). “BIRCH: an efficient data clustering method for very large databases”. In ACM SIGMOD, pages 103–114. [2]. Liu, H. & Setiono, R. (1996). “Feature selection and classification – a probabilistic wrapper approach”. Proceedings of the 9th International Conference on Industrial and Engineering Applications of AI and ES, 419-424. [3]. Lin, T.Y., Cercone, N., (1997). “Rough sets and Data mining: Analysis of Imprecise Data”. Kluwer Academic Publishers. [4]. Shahabi, C., Zarkesh, A., & Shah, V., (1997). “Knowledge discovery from users web-page navigation”. In workshop on Research Issues in Data Engineering, England. [5]. Mobasher, B., Cooly, R., & Srivastava, J. (1999). “Automatic personalization based on web usage mining”. TR99-010, Department of Computer Science, Depaul University. [6]. Guha, S., Rastogi, R., & Shim, K., (1999). “ROCK: a robust clustering algorithm for categorical attributes”. In ICDE. [7]. Shen, Q. & Chouchoulas A., (2002). “A rough-fuzzy approach for generating classification rules”. Pattern Recognition, 35:2425-2438. [8]. Jensen, R., (2005). “Combining Rough and Fuzzy Sets for Feature Selection”, Ph. D thesis, School of Informatics, University of Edinburgh. [9]. Premalatha, K., & Natarajan, A. M. (2010). “A Literature Review on Document Clustering” Information Technology Journal, 9 : 993 – 1002. [10]. Jones,P., Pearce, C., & Salgueiro, G., (2013). “End-to-End Session Identification in IP-Based Multimedia Communication Networks”, Cisco Systems.
Haridas Kataria, Dr. Vikram Singh "Analysing the Behaviour of a Telecom User using Rough Set Theory" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.52-55 2015
This paper presents a survey of various techniques to reduce the losses in the microstrip patch antenna. The designed antenna structures include several methods to reduce antenna losses in a microstrip antenna. Some of the methods such as multiple layered patches in microstrip antenna also increase its directivity by 4.2 dB. By using double negative substrate mutual coupling can be reduced by 14.2dB at the resonant frequency of 4.55GHz. The concept of an engineered conductor method which is based on using multiple laminated thin conductors is used for enhancing their gain by minimizing the ohmic loss. Experimental results are discussed to validate the concept.
- Page(s): 56-60
- Date of Publication: 30 September 2015
- Alpesh NemaDepartment of Electronics & Communication Engineering MANIT-Bhopal, India
- D.K. RaghuvanshiDepartment of Electronics & Communication Engineering MANIT-Bhopal, India
- Priyanka RaghuvanshiDepartment of Electronics & Communication Engineering R.G.P.V.–Bhopal, India
References
[1]. Saeed I. Latif, C. Shafai, and Lotfollah Shafai “Reduction in Ohmic Loss of Small Microstrip Antennas using Multiple Copper Layers “, 2006 IEEE, pp.1625-1628 [2]. Reuven Shavit,” Dielectric Cover Effect on Rectangular Microstrip Antenna”, Array IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 42, NO. 8, AUGUST 1994. [3]. R.Zhang, D.G.Fang, K.L. Wu and VJ.X.Sheng,” Study on the Elimination of Surface Wave by Metal Fences”, Asia- Pacific Conference on Environmental Electromagnetics CEEM' 2000 I May 3-7, 2000 Shanghai, China. [4]. Ali Farahbakhsh and Shahram Mohanna and Saeed Tavakoli, “Reduction of Return Loss and Mutual Coupling in Two- Dimensional Microstrip Array Antennas by using Hexagonal Patches ”, 2010 ICEMT, pp 319-322. [5]. Salma Mirhadi and Manoochehr Kamyab, “Mutual coupling reduction of microstrip antenna array using double negative substrate”, vol 64, may 2010, pp. 469-474. [6]. Mohsen Salehi, Ahad Tavakoli, “A novel low mutual coupling microstrip antenna array design using defected ground structure”, [7]. P. M. Bafrooei, and L. Shafai, “Characteristics of Singleand Double-Layer Microstrip Square Ring Antennas,” IEEETrans. Antennas Propagate, vol. AP-47, pp. 1633–1639, October 1999 [8]. Nikolic MM, Djordjevic AR, Nehorai A.,” Microstrip antennas with suppressed radiation in horizontal directions and reduced coupling”. IEEE Transactions on Antennas and Propagation 2005:53:3469–76.
Alpesh Nema, D.K. Raghuvanshi, Priyanka Raghuvanshi "Loss Reduction in Microstrip Antenna Using Different Methods" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.56-60 2015
Load balancing in cloud computing systems is a big challenge now. As it is not always practically feasible or cost efficient to maintain one or more idle services just as to fulfill the required demands, jobs cannot be assigned to appropriate servers and clients individually for efficient load balancing. Here some uncertainty is attached while jobs are assigned. Our aim is to provide an evaluation study of some of the methods of load balancing in large scale Cloud systems, demonstrating different distributed algorithms for load balancing and to improve the different performance parameters for the clouds of different sizes.
- Page(s): 61-64
- Date of Publication: 30 September 2015
- Haridas KatariaLecturer, Department of Computer Science Engineering Govt. Polytechnic for Women, Sirsa, India
- Vipul PantLecturer, Department of Computer Science Engineering Govt. Polytechnic for Women, Sirsa, India.
References
[1]. Anthony T.Velte, Toby J.Velte, Robert Elsenpeter, Cloud Computing A Practical Approach, TATA McGRAW-HILL Edition 2010. [2]. Martin Randles, David Lamb, A. Taleb-Bendiab, A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops. [3]. Mladen A. Vouk, Cloud Computing Issues, Research and Implementations, Proceedings of the ITI 2008 30th Int. Conf. on Information Technology Interfaces, 2008, June 23-26. [4]. Ali M. Alakeel, A Guide to Dynamic Load Balancing in Distributed Computer Systems, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.6, June 2010. [5]. Martin Randles, Enas Odat, David Lamb, Osama Abu- Rahmeh and A. Taleb-Bendiab, “A Comparative Experiment in Distributed Load Balancing”, 2009 Second International Conference on Developments in eSystems Engineering. [6]. Peter S. Pacheco, ”Parallel Programming with MPI”, Morgan Kaufmann Publishers Edition 2008 [7]. Mequanint Moges, Thomas G.Robertazzi, ”Wireless Sensor Networks: Scheduling for Measurement and Data Reporting”, August 31, 2005 [8]. Boost C++ Libraries. Available: http:www.boost.org. [9]. General algebraic modeling system (GAMS). Available: https://www.gams.com. [10]. Google AppEngine: Run your web apps on Google’s infrastructure. Available: https://code.google.com/appengine/. [11]. IBM Smart Cloud. Available: https://www.ibm.com/cloud-computing. [12]. JTC1/SC22/WG21 - The C++ Standards Committee. https://www.open-std.org/jtc1/sc22/wg21/. [13]. Linear algebra package (lapack). Available: https://www.netlib.org/lapack/. [14]. Microsoft connected service framework (CSF).Available:https://www.microsoft.com/serviceproviders/solutions/connectedservicesframework.mspx. [15]. Kiam Heong Ang, Gregory Chong, and Yun Li. PID control system analysis, design, and technology. IEEE Transactions on Control Systems Technology,13(4):559–576, 2005. [16]. Panos J. Antsaklis and Anthony N. Michel. Linear Systems. Birhaüser, Boston, 2006. [17]. Danilo Ardagna, Barbara Panicucci, Marco Trubian, and Li Zhang. Energyaware autonomic resource allocation in multi-tier virtualized environments. IEEE Transactions on Services Computing, 99(PrePrints), 2010. [18]. Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy H. Katz, Andrew Konwinski, Gunho Lee, David A. Patterson, Ariel [19]. Jr. Arthur E. Bryson and Yu-Chi Ho. Applied Optimal Control: Optimization, Estimation, and Control. Taylor & Francis, revised edition, 1975. [20]. Jerry Banks, John S. Carson, II, Barry L. Nelson, and David M. Nicol. Discrete-Event System Simulation. Prentice Hall, 5th edition, 2010. [21]. Jacques F. Benders. Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik, 4(1):238–252, 1962. [22]. John R. Birge and François Louveaux. Introduction to Stochastic Programming. Springer Science+Business Media, LLC, 2nd edition, 2011. [23]. S. Bittanti, P. Bolzern, and M. Campi. Exponential convergence of a modified directional forgetting identification algorithm. System Control Letter, 14:131–137, 1990. [24]. Peter Bloomfield. Fourier analysis of time series: An introduction. Wiley- Interscience, 2nd edition, 2000. [25]. Peter Bodík, Rean Griffith, Charles Sutton Armando Fox, Michael Jordan, and David Patterson. Statistical machine learning makes automatic control practical for Internet datacenters. In Proc. of the 2009 USENIX Conf. on Hot Topics in Cloud Computing (HotCloud’09), 2009. [26]. David Booth, Hugo Haas, Francis McCabe, Eric Newcomer, Michael Champion, Chris Ferris, and David Orchard. Web Services Architecture. Working Group Note NOTE-ws-arch-20040211, W3C Web Services Activity, Feb 2004.c
Haridas Kataria, Vipul Pant "Load Balancing in Cloud Computing Systems using Divisible Load Scheduling" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.61-64 2015
Ad hoc wireless sensor networks are thought provoking topic of research in general computing. Positioning of sensor network in aggressive environment is vulnerable to battery drainage attacks as it is not possible to recharge the sensor nodes. This paper explores on the class of resource depletion attack called the “Vampires” which deactivates the whole network by draining out the nodes’ battery power. These Vampire attacks are not specific to any protocol rather we find that all examined protocols are susceptible to Vampire attacks, which makes it difficult to detect. Here we make an attempt discussing methods to mitigate these type of attacks. In this approach forwarding as well as discovery phase of the protocol are considered to avoid attack. Here algorithm overhead is reduced and discovery phase is considered to avoid vampire attack.
- Page(s): 65-70
- Date of Publication: 30 September 2015
- Rashmi KondaPG Scholar, Department of Computer Science Engineering KITS, Markapur, A.P, India
- Naresh KumarAssistant Professor, Department of Computer Science Engineering KITS, Markapur, A.P, India
References
[1]. I. Aad, J.-P. Hubaux, and E.W. Knightly, ―Denial of Service Resilienc in Ad Hoc Networks,‖ Proc. ACM MobiCom, 2004. [2]. H. Clausen and P. Jacquet, Optimized Link State Routing Protocol (OLSR), IETF RFC 3626, 2003. [3]. J. Deng, R. Han, and S. Mishra, ―Defending against PathBased DoS Attacks in Wireless Sensor Networks,‖ Proc. ACM Workshop Security of Ad Hoc and Sensor Networks, 2005. [4]. J. Deng, R. Han, and S. Mishra, ―INSENS: Intrusion-Tolerant Routing for Wireless Sensor Networks,‖ Computer Comm., vol. 29, o. 2, pp. 216-230, 2006. [5]. Eugene Y.Vasserman , Nicholas Hopper, Vampire attack Draining life from wireless ad-hoc sensor networks. IEEE Transactions on Mobile Computing, Vol. 12, No. 2, February 2013 [6]. Y.-C. Hu, D.B. Johnson, and A. Perrig, ―SEAD: Secure Efficient Distance Vector Routing for Mobile Wireless Ad Hoc Networks,‖ Proc. IEEE Workshop Mobile Computing Systems 2002. [7]. Y.-C. Hu, D.B. Johnson, and A. Perrig, ―Ariadne: A Secure On- Demand Routing Protocol for Ad Hoc Networks,‖ Proc. MobiCom, 2002 [8]. Y.-C. Hu, D.B. Johnson, and A. Perrig, ―Packet Leashes: A Defense against Wormhole Attacks in Wireless Ad Hoc Networks,‖ Proc.IEEE INFOCOM, 2003 [9]. D.B. Johnson, D.A. Maltz, and J. Broch, ―DSR: The Dynamic Source Routing Protocol for Multihop Wireless Ad Hoc Networks‖Ad Hoc Networking, Addison-Wesley, 2001. [10]. T.J. McNevin, J.-M. Park, and R. Marchany, ―pTCP: A Client Puzzle Protocol for Defending Against Resource Exhaustion Denial of Service Attacks,‖ Technical Report TR-ECE-04-10, Dept of Electrical and Computer Eng., Virginia Tech, 2004.. [11]. C.E. Perkins and P. Bhagwat, ―Highly Dynamic DestinationSequenced Distance-Vector Routing (DSDV) for Mobile Computers,‖ Proc. Conf. Comm. Architectures, Protocols and Applications,1994. [12]. B. Parno, M. Luk, E. Gaustad, and A. Perrig, ―Secure Sensor Network Routing: A Clean-Slate Approach,‖ CoNEXT: Proc. ACM CoNEXT Conf., 2006.
Rashmi Konda, Naresh Kumar "PLGPa Approach to Alleviate Energy Draining Attacks in Adhoc Wireless Sensor Networks" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.65-70 2015
In this project, it describe the implementation of a new circuit-switched NoC designed specifically for FPGA-based systems. The flexible and lightweight advantages of this architecture are explained to quantify its area and performance benefits. The main motivation for choosing a circuit-switched network over packet-switched is its ability to maintain guaranteed throughput between nodes connected via virtual circuit. This technique is in direct contrast to packet-switched techniques, where significant variations in communication latency are often possible. This ability to give reliable high data rates between the nodes in a system that most need it was critical in this design decision. The circuit-switched networks are attractive option, which promises the high communication rates and predictable communication latencies. Here a new lightweight circuit-switched architecture called programmable NoC (PNoC) is described. In Fault detection, it identifies the faults in a router when detected, alternate routing path will be selected for successful transmission of data.
- Page(s): 71-75
- Date of Publication: 30 September 2015
- Preethi T SDepartment of Electronics and Communication VTU Extension Centre, UTL Technologies Ltd., India
- Nagaraj PDepartment of Electronics and Communication VTU Extension Centre, UTL Technologies Ltd., India
- Siva YellampalliDepartment of Electronics and Communication VTU Extension Centre, UTL Technologies Ltd., India
References
[1] U.Mushtaq, O.Hasan, and F.Awwad, “PNOC: Implementation on Verilog for FPGA”,Proc. IEEE Innovations in Information Technology (IIT), 9th International Conference, pp. 148-151, 2013. [2] A.Agarwal and R. Shankar, “A layered architecture for NOC design methodology”, IASTED International Conference on Parallel and Distribute Computing and Systems pp. 659-666, 2005. [3] L. Benini and G. De Micheli, “Networks on Chip: a New SOC Paradigm”, IEEEComputer, volume1, pp. 70-78, 2002. [4] C.Hilton and B. Nelson, “PNOC: A flexible circuit switched NOC for FPGA-based systems,” IEEE proceedings computers and digital techniques, volume 153 Issue 3, 2006. [5] C.Hilton and B. Nelson, “PNOC: A flexible circuit switched NOC for FPGA-based systems,” IEEE proceedings computers and digital techniques, volume 153 Issue 3, 2006. [6] E. Salminen, V. Lahtinen, K. Kuusilinna, and T. Hamalainen, “Overview of bus-based system-on-chip interconnections,” in Proceedings of the IEEE International Symposium on Circuits and Systems. ISCAS 02, pp. 372–375 vol.2, 2002. [7] Hutchings, B., Bellows, P., Hawkins, J., Hemmert, S., Nelson, B., and Rytting, M., “A CAD suite for highperformance FPGA design”, in Pocek, K.L., and Arnold, J.M. (Eds.). Proc. IEEE Workshop on FPGAs for Custom Computing Machines, Napa, CA, USA, pp. 175-184, 1999, (IEEE Computer Society). [8] J. Dally and B. Towles Principles and Practices of Interconnection Networks, MorganKaufmann, 2004. [9] A. Ivanov, C. Grecu, M. Jones, P. Pratim Pande, and R. Saleh, P. Pratim Pande, C. Grecu, M. Jones, A. Ivanov, and R. Saleh, “Performance evaluation and design tradeoffs for network-on-chip interconnect architectures”,IEEE Transactions on Computers, volume54, no. 8, pp. 1025-1040, 2005. [10] Hosseinabady, M.; Kakoee, M.R.; Mathew, J.; Pradhan, D.K.; , "Low Latency and Energy Efficient Scalable Architecture for Massive NOCs Using Generalized de Bruijn Graph,"IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol.19, no.8, pp.1469-1480, Aug. 2011. [11] J. W. Dally and B. Towles, “Route packets, not wires:”On-Chip interconnection networks”, Proc. IEEE International Conference on Design and Automation, pp. 684- 689, 2001.
Preethi T S, Nagaraj P, Siva Yellampalli "Implementation of PNoC and Fault Detection on FPGA" International Journal of Latest Technology in Engineering,Management & Applied Science vol.4 issue 9, pp.71-75 2015
Centrifugal pumps are perhaps the most common type of pump in operation today. With many different configurations available, centrifugal pumps are widely-used because of their design simplicity, high efficiency, wide range of capacity and head, smooth flow rate and ease of operation and maintenance. These pump baseplates come in as many configurations, designs and styles as there are pump models. No matter the design, the main purpose of the baseplate is to mount the pump and driver together, while maintaining shaft alignment between the two pieces of equipment. This paper is about the work carried out to study and identify the most used baseplates for API centrifugal pumps for customer orders, analyzing the baseplate properties using Finite Element Technique, modification in baseplate and optimize the weight of the baseplate of one of the model of centrifugal pump to achieve cost reduction in baseplate fabrication.
- Page(s): 76-79
- Date of Publication: 30 September 2015
- D. V. YadavDepartment of Mechanical Engineering Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
- Prof. S.J. MadkiDepartment of Mechanical Engineering Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
- Shyam Sundar.RM.Tech (Thermal Power Engineering), Mechanical Engineering Department Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
References
[1]. Standard – API Standard 610, Tenth Edition, 2004, “Centrifugal Pumps for Petroleum, Petrochemical and Natural Gas Industries,” American Petroleum Institute, Washington, D.C. PP 59 TO 62 [2]. Journal Papers and books – a. Grundfos White Paper, “Centrifugal Pump Baseplates” Journal of pump, Management & Technology, Vol.2, No. 2, April 2011 b. Amit V. Chavan and S.S. Gawade, "Experimental and Finite Element Analysis of Base Frame for Rigidity”, International Journal of Engineering Science and Technology, Vol.3 No. 10, April 2011 c. J. Sokolowski, "An introduction to shape optimization”, Springer Series In Computational Mathematics, Berlin Heidelberg GmbH, New York, 1992, ISBN 978-3-642-58106-9, pp. 5-7 d. T.R.Chandrupatla and A.D. Belegundu ( 2004), “Introduction to Finite Elements in Engineering,” Prentice Hall of India, 3rd edition. e. S.Ramamrutham and R.Narayanan, (1967), “Strength of materials,” Dhanpat Rai publishing company (P) Ltd., 13th edition.
D. V. Yadav, Prof. S.J. Madki "Design, Analysis & Optimization of Baseplate of Centrifugal Pump System" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.76-79 2015
In the present scenario, we face a huge issue sometimes as we may require cooking during late night or there may be huge invited guests at home or any other work related to our LPG. However it would be too late to realize the value of that gas unless we realize it is finished, by then it is too late as they normally take 2-3 days to deliver a new gas. The aim of our project is to design and develop a device which is capable of detecting the depletion of gas and book automatically, to switch off the regulator when the gas is not used and to track the status of cylinder delivery. The RFID enabled cylinder management system would help improve productivity, as well as improve the quality, reliability and efficiency of the cylinder management process. We use RFID tags in this project for checking the status of cylinder delivery. It is a solution for the society to conserve the energy in the best possible way. Making the cylinder automatic relieves home-makers from the pain they take whenever there is the utmost requirement for the cylinder and you do not know when the cylinder will go empty.
- Page(s): 80-83
- Date of Publication: 30 September 2015
- Dhanya G SAssistant Professor, ECE Department SSCE, India
- Swathi RPre Final Year Student, ECE Department SSCE, India
- Rhituporna SarkarPre Final Year Student, ECE Department SSCE, India
- Chaithra Lekshmi KPre Final Year Student, ECE Department SSCE, India
References
[1] https://www.infosys.com/industries/resources/white-papers/Documents/rfid-gas-cylinder-management.pdf [2] https://www.gasworld.com/directory/CompanySearchResults.aspx?mode=refine&category=Cylinder-Tracking-Software&categorycode=100748 [3] https://en.wikipedia.org/wiki/Radio-frequency_identification [4] https://en.wikipedia.org/wiki/PIR_sensor
Dhanya G S, Swathi R, Rhituporna Sarkar, Chaithra Lekshmi K "Automatic Gas Cylinder Management" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.80-83 2015
With the dramatic rise in heart disease among the people, there is a dire need to develop a method with high accuracy and precision. Patients with chest pain undergo extensive tests like stress test, contrast or radio tracer injection, radiation or catheterization. The above mentioned tests involve a lot of risk and do not produce immediate result. Magnetocardiography (MCG) is an effective tool to detect the electrophysiological activity of the myocardium which is rapid as well as risk free. The MCG recording system uses sensors called SQUIDs which enhances the accuracy by measuring the weak magnetic fields of the cardiac cycle. It has almost been 50 years since the first magnetocardiogram was recorded. Yet, due to lack of clinical trials, MCG is not used on regular basis. This review paper summarises its image acquisition process, advantages, applications, comparison with various tests and its future scope.
- Page(s): 84-90
- Date of Publication: 30 September 2015
- Swara Bipin VashiDepartment of Biomedical Engineering LD College of Engineering, Ahmedabad, India
References
[1]. Illya Chaykovskyy Magnetocardiography in unshielded location in coronary artery disease detection using computerized classification of current density vectors maps Kiew, Ukraine 2005 [2]. Mariyappa, N Development of squid based magnetocardiography system cardiac signal source analysis using ensemble empirical mode decomposition. Shodhganga 2015 March [3]. Isabella Tavarozzi*, Silvia Comani**, Cosimo Del Gratta**§, Gian Luca Romani**§, Silvano Di Luzio**§,Donatella Brisinda§§, Sabina Gallina*, MarcoZimarino*, Riccardo Fenici§§, Raffaele De CaterinMagnetocardiography: current status and perspectives. Part I: Physical principles and instrumentationItal Heart J Vol 3 February 2002 [4]. D. Brisinda, G. Bottelli, C. Napolitano, S.G. Priori and R. Fenici. Magnetocardiographicfindings and follow-up in an asymptomatic Brugada patient - Effects of Flecainide and of exercisetests. Int. Congress Series. 1300 (2007) 459 - 462. [5]. D. Kim, K. Kim, Y.H. Lee and H. Ahn. Detection of atrial arrhythmia in superconductingquantum interference device magnetocardiography; preliminary result of a totally-noninvasivelocalization method for atrial current mapping. Interactive CardioVascular & Thoracic Surgery.6 (2007) 274 - 279 [6]. B. Hailer and P. Van Leeuwen. Clinical application of MCG in ischemic heart disease. Int.Congress Series. 1300 (2007) 741 - 744. [7]. R. Jurkko, V. M¨antynen, J.M. Tapanainen, J. Montonen, H. V¨a¨an¨anen, H. Parikka and L.Toivonen. Non-invasive detection of conduction pathways to left atrium using magnetocardiography: validation by intra-cardiac electroanatomic mapping. Europace. 11 (2009) 169 - 177. [8]. S. Yamada and I. Yamaguchi. Magnetocardiograms in Clinical Medicine: Unique Informationon Cardiac Ischemia, Arrhythmias, and Fetal Diagnosis. Internal Medicine. 44 (2005) 1 19. [9]. I. Tavarozzi, S. Comani, C. Del Gratta, S. Di Luzio, G.L. Romani, D. Brisinda, S. Gallina, M.Zimarino, D. Brisinda, R. Fenici and R. De Caterina. Magnetocardiography: current status andperspectives - Part II: Clinical applications. Ital. Heart J. 3 (2002) 151 - 165. [10]. S. Achenbach, W. Moshage and K. Bachmann. Magnetocardiography: Clinical investigationswith a biomagnetic multichannel system. Physiol. Meas. 14 (1993) 61 - 68. [11]. R. Fenici and D. Brisinda. Magnetocardiography provides non-invasive three-dimensional electroanatomical imaging of cardiac electrophysiology. Anatol. J. Cardiol. 7 (2007) 23 - 28. [12]. Kirsten Tolstrup,Donatella Brisinda,Anna M. Meloni,Brian Cheung, Robert J.Seigel, Riccardo Fenici. Comparison of resting magnetocardiography with stress single photon emission computed tomography in patients with stable and unstable angina. [13]. Park JW(1), Leithäuser B, Vrsansky M, Jung F.Dobutamine stress magnetocardiography for the detection of significant coronary artery stenoses - a prospective study in comparison with simultaneous 12-lead electrocardiography. [14]. Kirsten TolstrupNon-invasive Resting Magnetocardiographic Imaging for the Rapid Detection of Ischemia. European cardiovascular disease 2006 [15]. Goernig M(1), Haueisen J, Schreiber J, Leder U, Hänninen H, Mäkelä T, Takala P, Nenonen J, Lauerma K, Knuuti J, Mäkijärvi M, Toivonen L, Katila T.Comparison of current density viability imaging at rest with FDG-PET in patients after myocardial infarction. 2009 Jan;33(1):1-6. [16]. Kariniemi V, Ahopelto J, Karp PJ, Katila TE. The fetal magnetocardiogram. J Perinat Med 1974; 2: 214-6.
Swara Bipin Vashi "MAGNETOCARDIOGRAPHY-An Effective Tool for Heart Scan" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.84-90 2015
CBIR is used to search and retrieve the query image from wide range of databases. Many Features and algorithms can be used for efficient image retrieval. Content-Based Image Retrieval (CBIR) uses the visual contents of an image such as color, shape, texture, and spatial layout to represent and index the image. In this paper we survey a CBIR system. Discuss a various challenges in CBIR techniques. This paper surveys recent studies on content-based retrieval for multimedia databases from the point of view of fundamental issues. We review and discuss the advantages, disadvantages and application of these methods for images.
- Page(s): 91-94
- Date of Publication: 30 September 2015
- Manisha RautDepartment of Electronics And Telecommunication Rajiv Gandhi College of Engineering & Research, Nagpur, India
- Pallavi DhokDepartment of Electronics And Telecommunication Rajiv Gandhi College of Engineering & Research, Nagpur, India
- Shital BramheDepartment of Electronics And Telecommunication Rajiv Gandhi College of Engineering & Research, Nagpur, India
- Dhanashree TajneDepartment of Electronics And Telecommunication Rajiv Gandhi College of Engineering & Research, Nagpur, India
References
[1]. Ms. K. Arthi 1, Mr. J. Vijayaraghavan 2,‖ Content Based Image Retrieval Algorithm Using Colour Models‖ International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013 [2]. Y. A. Aslandogan and C. T. Yu, "Techniques and Systems for Image and Video Retrieval," IEEE Transactions on Knowledge and Data Engineering, Vol. 11, Issue 1, pp. 56-63, Jan/Feb 1999. [3]. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-Based Image Retrieval at the End of the Early Years," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, Issue 12, pp. 1349-1380, December 2000. [4]. M. J. Swain and D. H. Ballard, „„Color indexing‟‟, International Journal of Computer Vision, vol. 7, Issue 1, pp. 11-32, 1991. [5]. Irena Valova, Boris Rachev and Michael Vassilakopoulos, ―Optimization of the Algorithm for Image Retrieval by Color Features‖,International Conference on Computer Systems and Technologies- CompSysTech‟, pp 1-4, 2006. [6]. Sarfraz and M. Ridha ―Content-Based Image Retrieval Using Multiple Shape Descriptors‖, IEEE/ACS International Conference On Computer Systems and Applications, pp. 730-737, 2007. [7]. Reshma Chaudhari1, A. M. Patil2,‖ Content Based Image Retrieval Using Color and Shape Features,‖ International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 1, Issue 5, November 2012 [8]. Aura Conci and Everest Mathias M. M. Castro, ―Image mining by content‖ ExpertSystems with Applications, vol. 23, no. 4, pp. 377-383, 2002. [9]. Chee Sun Won, , Dong Kwon Park, and Soo-Jun Park, ―Efficient Use of MPEG-7 Edge Histogram Descriptor‖ , ETRI Journal, Vol.24, No 1, pp. 23-30, February 2002. [10]. H.B.Kekre,Sudeep D. Thepade, AkshayMaloo, ―Performance Comparison of Image Retrieval Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Transforms‖ International Journal of Computer Applications (0975 – 8887)Volume 4, No.10, pp.1-8, August 2010. [11]. Hemalatha M. and Lakshmi Devasena C, ―A Hybrid Image Mining Technique using LIMbased Data Mining Algorithm,‖ International Journal of Computer Applications, vol. 25, no 2, pp. 1-5, 2011. [12]. HiremathP. S and JagadeeshPujari, ―Content based Image Retrieval based on Color, Texture and Shape features using Image and its complement‖, International Journal of Computer Science and Security, Vol.1 : no 4,pp 25-35. [13]. Murthy V.S.V.S, Vamsidhar E, swarup Kumar J.N.V.R, Sankara Rao P, ―Content based Image Retrieval using Hierarchical and KMeans Clustering Techniques‖, International Journal of Engineering Science and Technology Vol. 2(3), pp. 209-212, 2010. [14]. N S T Sai and R C Patil, ―Image Retrieval using DWT with Row and Column Pixel Distributions of BMP Image‖ International Journal on Computer Science and Engineering,Vol. 02, No. 08,pp. 2559-2566, 2010. [15]. Neetu Sharma. S1, PareshRawat . S2 and jaikaranSingh.S,―Efficient CBIR Using Color Histogram Processing‖, An International Journal(SIPIJ), Vol.2, No.1, pp. 94-112, March 2011. [16]. Ramamurthy, B. and K.R. Chandran, ―Content Based Medical Image Retrieval with Texture ContentUsing Gray Level Cooccurrence Matrix and K-Means Clustering Algorithms‖Journal of Computer Science 8 , ISSN 1549-3636, pp. 1070-1076, 2012. [17]. Rajshree S. Dubey , ―Image Mining using Content based Image Retrieval System‖, IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 07, pp. 2353-2356, 2010. [18]. Rajendran P and Madheswaran M, ―An Improved Image Mining Technique For Brain Tumour Classification Using Efficient classifier‖, International Journal of Computer Science and Information Security, vol. 6, no. 3, pp. 107-116, 2009. [19]. Ediz Saykol, Ali Kemal Sinop, Ugur Güdükbay, ÖzgürUlusoy, ―Content-Based Retrieval of Historical Ottoman Documents Stored as Textual Images―, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 3, MARCH 2004 [20]. Greg Pass, min Zabih, ―Histogram Refinement for Content-Based Image Retrieval ‖ . [21]. Manish Chowdhury, Sudeb Das, and Malay Kumar Kundu., ―Interactive Content Based Image Retrieval Using Ripplet Transform and Fuzzy Relevance Feedback [22]. Ray –I chang,shu-yu lin,jan-ming ho,‖ A Novel Content Based Image Retrieval System using K-means/KNNwith Feature Extraction‖
Manisha Raut, Pallavi Dhok, Shital Bramhe, Dhanashree Tajne "Overview of Content Base Image Retrieval" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.91-94 2015
In this review paper, logging of data such as temperature, pressure, vibration, camera image etc. which may be applicable to any industry where all these parameters has to logged on a certain interval. This paper is based on a demonstration model which shows how data logging operation can be performed from a distance using GSM 3G Technologies. This data logger is implemented using suitable Microcontroller. These data loggers can be interfaced with various sensors based on the requirement and can be connected to the various plants in the industries which require data logging. Since these data loggers use GSM 3G interface they are the best solution for logging data from furnaces, Chemical plants, petroleum wells etc. where it is highly hazardous to log the data manually.
- Page(s): 95-96
- Date of Publication: 30 September 2015
- Deepak PatilDepartment of Electronics T.K.I.E.T Warananagar, India
- B.T.SalokheDepartment of Electronics T.K.I.E.T Warananagar, India
- Mayuri ParitDepartment of Electronics T.K.I.E.T Warananagar, India
References
[1]. SongYu, Huijun XU and Guiju Dong, “The design of remote Data Acquisition System,” Journal of Northeast Agricultural University, China, Vol.34, pp.129-134, April 2004. [2]. Jian Yang Zhao and Wei Hong Ding, “Research on Remote Monitor the Control System Based on 3G Streaming Media,” Computer measurement & control. Huibai, China, vol.34, pp. 154–155, July 2009. [3]. Xiao bin Liao, Xin Zhao, “Technology and Application Foundation for 3G Mobilecommunication Network Systems,” April 2006, pp.8–9. [4]. Mr.Suyog A.Wani & Prof. R.P.Chaudhari, “Ethernet Enabled Digital i/o Control in Embedded Systems” 2012 IEEE. [5]. Peng Wang, “Design of Temperature and Humidity Intelligent Control System Based on C8051F” 2011 International Conference on Electronics and Optoelectronics IEEE. [6]. Manivannan M., Kumaresan N. “Design of On-line Interactive Data Acquisition and Control System for Embedded Real Time Applications” 2011 IEEE [7]. AliZiya Alkar, Member, IEEE, and Mehmet Atif “An Internet-Based Interactive Embedded Data-Acquisition System for Real-Time Applications”VOL.58, NO.3, MARCH 2009. [8]. Jiang Yong ping Feng Zehao Xu Du “Design and Application of Wireless Sensor Network Web Server based on S3C2410 and Zigbee Protocol”.2009 IEEE. [9]. Xiamen CAIMAO communication technology Co. Ltd., “Wireless real time monitoring system of examination based on 3G.
Deepak Patil, B.T.Salokhe, Mayuri Parit "Design of Remote Data Acquisition System Based On 3G" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.4 issue 9, pp.95-96 2015