The procedure and tables are given for the selection of Six Sigma Modified Quick Switching Variables Sampling System indexed by Six Sigma AQL and Six Sigma AOQL. The resulting system is referred as a “Six Sigma Modified Quick Switching Variables Sampling System” (SSQSVSS-r(nσ; kTσ, kNσ), r= 2 and 3). The design procedure constructed tables for easy selection of system given indexed by six sigma quality levels by known and unknown σ respectively.
- Page(s): 01-08
- Date of Publication: 13 October 2018
- Dr. D. SenthilkumarHead & Associate Professor, Department of Statistic, PSG College of Arts & Science, Coimbatore, Tamil Nadu, India
- Dr. B. Esha RaffieAssistant Professor, Department of Statistic, PSG College of Arts & Science, Coimbatore, Tamil Nadu, India
References
[1] M.Abramowitz and I.A.Stegun, Handbook of Mathematical functions, Dover Publications, New York, (1972). [2] H.F.Dodge, A New Dual System of Acceptance Sampling Technical Report, No.16, The Statistics Center, Rutgers-The State University, New Brunswick, NJ, (1967). [3] K.Govindaraju, Single sampling Plans for Variables Indexed by AQL and AOQL, Journal of Quality Technology, 22(4)(1990), 310-313. [4] L.D.Romboski, An Investigation of Quick Switching Acceptance Sampling Systems, Doctoral Dissertation, Rutgers the State University, New Brunswick, New Jersey, (1969). [5] D.Senthilkumar and B.Esha Raffie, Six Sigma Quick Switching Variables Sampling System Indexed by Six Sigma Quality Levels, International Journal of Computer Science & Engineering Technology, 3(12) (2012), 565-576. [6] D.Senthilkumar and B.Esha Raffie, Quick Switching Variables Sampling System Indexed by Six Sigma AQL and Six Sigma AOQL, International Journal of Current Research in Science and Technology, 3(10) (2017), 21-28. [7] D.J.Sommers, Two-point double variables sampling plans, Journal of Quality Technology, 13(1981). [8] V.Soundarajan and M.Palanivel, Quick Switching Variables Single Sampling (QSVSS) System indexed by AQL and AOQL, Journal of Applied Statistics, 27(7) (2000), 771-778. [9] V.Soundararajan, Single Sampling Attributes Plans Indexed by AQL and AOQL, Journal of Quality Technology, 13(3)(1981), 195-200. [10] D.Senthilkumar and B.Esha Raffie, Modified Quick Switching Variables Sampling System indexed by Six sigma Quality Levels, International Journal of Scientific Research in Science, Engineering and Technology, 3 (6) 332 - 337, 2017.
Dr. D. Senthilkumar and Dr. B. Esha Raffie "Six Sigma Modified Quick Switching Variables Sampling System of type SSMQSVS (nσ; kTσ, kNσ) Indexed by Six Sigma AQL and Six Sigma AOQL" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.01-08 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/01-08.pdf
The goal of this research work is to percept the performance and emission characteristics of diesel engine using oxygenated fuels. In view of this, experimental investigations were carried out on a single cylinder four stroke direct injection vertical water cooled diesel engine using Ethanol and Diethyl Ether blended fuels in different volume ratios with Diesel fuel. The experimental investigation was performed with three different blends of Ethanol(E), Diethyl ether(DEE) and Diesel(D) in various ratios (E10% + DEE5% + D85%), (E10% + DEE7.5% + D82.5%) and (E10% + DEE10% + D80%) in comparison with pure diesel (D100%) to assess the impact of using Ethanol and Diethyl Ether-Diesel blends on diesel engine performance. For the same rated speed and compression ratio, various engine parameters such as power, thermal efficiency and fuel consumption, exhaust emissions such as smoke opacity, Hydrocarbon, CO, and NOx, were measured. The results indicate that the fuel blends have higher brake thermal efficiencies at all loading conditions and also the efficiencies increase with the increase of diethyl ether concentration. At full load, E10% + DEE10% + D80% has lower Brake Specific Fuel consumption than diesel. NOx emission and smoke emission also reduced to great extent in fuel blends compared to diesel.
- Page(s): 09-16
- Date of Publication: 21 October 2018
- Ravi.S Department of Mechanical Engineering, Jeppiaar Maamallan Engineering College, Sriperumbudur, Tamil Nadu, India
References
[1]. Dinesh Kumar Soni, Rajesh Gupta Numerical investigation of emission reduction techniques applied on methanol blended diesel engine Alexandria Engineering Journal (2016) 55, 1867–1879 [2]. Pragyan P. Patnaik, Shakti P. Jena, Saroj K. Acharya, Harish C. Das Effect of FeCl3 and diethyl ether as additives on compression ignition engine emissions. Sustainable Environment Research 27 (2017) 154-161 [3]. Ioannis Kalargaris, GuohongTian, SaiGu Experimental evaluation of a diesel engine fuelled by pyrolysis oils produced from low-density polyethylene and ethylene–vinyl acetate plastics Fuel Processing Technology 161 (2017) 125–131 [4]. Pinzi.S and Dorado.M.P Influence of ethanol/diesel fuel and propanol/diesel fuel blends over exhaust and noise emissions Energy Procedia 142 (2017) 849–854 [5]. Hariharan S, Murugan S, Nagarajan G. Effect of diethyl ether on Tyre pyrolysis oil fueled diesel engine. Fuel 2013;104:109-15. [6]. Yanuandri Putrasari, Arifin Nur, Aam Muharam Performance and emission characteristic on a two cylinder DI diesel engine fuelled with ethanol-diesel blends Energy Procedia 32 ( 2013 ) 21 – 30 [7]. M.D Redel-macis and S.Pinzi Ternary blends of diesel fuel oxygenated with ethanol and castor oil for diesel engines. Energy Procedia 142 (2017) 855–860 [8]. Ahmad Fitri Yusop, Mohd Hafizil Mat Yasina Particulate matter emission of diesel engines using ester-ethanol-diesel blended fuel. Procedia Engineering 53 ( 2013 ) 530 – 535 [9]. Pappula Bridjesh, Pitchaipillai Periyasamy Methoxy Ethyl Acetate and DEE as additives on diesel engine using waste plastic oil diesel blends. Sustainable Environment Research 28 (2018) 142e147 [10]. Sudheesh K, Mallikarjuna JM. Diethyl ether as an ignition improver for biogas homogeneous charge compression ignition (HCCI) operation-An experimental investigation. Energy 2010;35:3614-22 [11]. Gnanamoorthi V, Devaradjane V (2013) Effect of Diesel-Ethanol Blendson Performance, Combustion and Exhaust Emission of a Diesel Engine.International Journal of Current Engineering and Technology 3. [12]. Venu H, Madhavan V. Influence of diethyl ether (DEE) addition in ethanol biodiesel-diesel (EBD) and methanol-biodiesel-diesel (MBD) blends in a diesel engine. Fuel 2017;189:377-90 [13]. Sachuthananthan B, Jeyachandran K. Combustion, performance and emission characteristics of water-biodiesel emulsion as fuel with DEE as ignition improver in a DI diesel engine. J Environ Res Dev 2007;2:164-72 [14]. Navaneethakrishnan P, Vasudevan D. Experimental study on performance and exhaust emission characteristics of a C.I. engine fuelled with tri compound oxygenated diesel fuel blends. Ind J SciTechnol 2015;8:96-102 [15]. Nurun MN, Dhandapani K, EinarHustad J, Rahman MM (2009) Role of oxygenated fuel to reduce diesel emissions: A Review. Proceedings of theInternational Conference on Mechanical Engineering 26-28. [16]. Devaraj J, Robinson Y, Ganapathi P. Experimental investigation of performance, emission and combustion characteristics of waste plastic pyrolysis oil blended with diethyl ether used as fuel for diesel engine. Energy 2015;85: 304-9 [17]. Manuel AG, William Piel, Tom Asmus, Wendy Clark, John Garbak, (2001)Oxygenates screening for advanced Petroleum- based Diesel Fuels: Part 2.The Effect of Oxygenate Blending Compounds on Exhaust Emissions. Societyof Automotive Engineers. [18]. David LH, John CE, Leslie RW (2001) The Emissions Performance ofOxygenated Diesel Fuels in a Prototype DI Diesel Engine. Society of Automotive Engineers. [19]. Labeckas G, Slavinskas S, Mazeika M (2014) The effect of ethanol-diesel-biodiesel blends on combustion, performance and emissions of a directinjection diesel engine. Energy Conversion and Management 79: 698-720. [20]. Armas O, Reyes GC, Ramos A (2014) Pollutant emissions from New EuropeanDriving Cycle with ethanol and butanol diesel blends. Fuel ProcessingTechnology 122: 64-71. [21]. J.B. Heywood, Internal Combustion Engine Fundamentals, McGraw-Hill Inc. 1988 [22]. H. Semerjian, A.Vranos, NOx formation in premixed turbulent flames, Symp.(Int.) Combust. 16 (1) (1977) 166–179 [23]. SayiLikhitha SS, Durga Prasad Ch, Vikram Kumar R (2014) Investigation on theEffect of Diethyl Ether Additive on the Performance of Variable CompressionRatio Diesel Engine. International Journal of Engineering Research 3: 11-15. [24]. Omran H R, Ashour F H , Abdir E F (2017), Economic evaluation of aromatic production, a case study for financial model in petrochemical properties‘, Egyptian journal of petroleum. [25]. Karabektas M, Ergen G, Hosoz M. The effects of using diethyl ether as additive on the performance and emissions of a diesel engine fuelled with CNG. Fuel 2014;115:855-60 [26]. Swamy R L, chandrasekar T K, banapurnath N R, Khandal S V (2015), Impact of Diesel-Butanol blends on performance and emission of Diesel engine research article‘, Oil and Gas Research – journal. [27]. B. Prbakaran, DinoopViswanathan Experimental investigation of effects of additionof ethanol to bio-diesel on performance, combustionand emission characteristics in CI engine. Alexandria Engineering Journal (2018) 57, 383–389 [28]. Aly M. Elzahaby, MedhatElkelawy, Hagar Alm-EldinBastawissi, SaadMostafaEl_Malla,Abdel Moneim M. NacebKinetic modeling and experimental study on the combustion,performance and emission characteristics of a PCCI engine fueled with ethanol-diesel blends Egyptian Journal of Petroleum (2008)
Ravi.S "Experimental Investigations on Compression Ignition Engine Supplemented with Ethanol and Di-Ethyl–Ether Blends" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.09-16 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/09-16.pdf
The development of Information Technology has been a big boon to banking industry. It has helped the banking industry in several ways, especially in improving its customer relations. Banking industry has undertaken various activities due to the introduction of electronic media in its operations. We will see it the coming paragraphs activities coming under e-Banking and the benefits derived by the banking industry from it. E-Banking E-Banking is nothing but electronics banking, wherein most of the operations of the bank are carried out through the electronic media. Even the traditional functions like accepting deposits and granting of loans are done through the electronic media.
- Page(s): 17-20
- Date of Publication: 21 October 2018
- M.VairavanAssistant Professor, PG and Research Department of Commerce, G. Venkataswamy Naidu College, Kovilpatti, Tamil Nadu, India
- M. KavithaII M.Com, PG and Research Department of Commerce, G. Venkataswamy Naidu College, Kovilpatti, Tamil Nadu, India
- R. SelvapathyII M.Com, PG and Research Department of Commerce, G. Venkataswamy Naidu College, Kovilpatti, Tamil Nadu, India
References
[1]. Himani Sharma(2012), “Bankers’ Perspectives on E-Banking and Its Challenges: Evidence from North India” The IUP Journal of Bank Management, Vol. X, No. 4, 2011
[2]. Nath R, Paul S and Monica P (2016), “Bankers’ Perspectives on Internet Banking”, e-Service Journal , Vol. 1, No. 1, pp. 21-36.
[3]. Abukhzam M and Lee A (2010), “Factors Affecting Bank Staff Attitude Towards E-Banking Adoption in Libya”, EJISDC, Vol. 42, No. 2, pp. 1-15.
[4]. Calisir F. and Gumussoy, C. A., (2015), “Internet banking versus other banking channels: Young consumers ‟view”, International Journal of Information Management, Vol.28, pp. 215-221.
[5]. Ayrga, A. (2014), Is Mauritius Ready to E-Bank? From A Customer and Banking Perspective. Journal of Internet Banking and Commerce, 16(1).
[6]. Abid, H. and Noreen, U. (2012), “Ready to E-bank: An exploratory research on adoption of e-banking and e-readiness in customers among commercial banks in Pakistan”, Spider, 31 (2), pp. 1-31.
M.Vairavan, M. Kavitha, R. Selvapathy "A Study on Applications and Implementation of E-Banking in India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.17-20 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/17-20.pdf
Now a day there is so many fibres are available in the civil engineering sector. Generally their behaviour is considered satisfactory if they withstand two million cycle of repetitive loading without distress or failure at the required mean stress level. The addition of fibre in the concrete mix improves the monotonic flexural strength, flexural fatigue strength, impact strength, shock resistance, ductility, and flexural toughness in concrete, besides delaying and arresting crack proportion. Fatigue is described by a parameter, which essentially represents the number of cycles the material can withstand under a given pattern of repetitive loading, before falling. This paper presents to study the behaviour of reinforced concrete beam cast at variations of quantity of steel fibre in the concrete matrix and subjected to fatigue loading.
- Page(s): 21-23
- Date of Publication: 21 October 2018
- Chavan Milind KrishnaDepartment of Civil Engineering of Sanjay Ghodawat Group of Institutions, Kolhapur, India
- Prof. Patil Chetan Shankarrao Assistant Professor Department of Civil Engineering of Sanjay Ghodawat Group of Institutions, Kolhapur, India
References
[1]. Bo Liu,Lewei Tong and Xiao-Ling Zhao, “Fatigue Failure Characteristics of Reinforced Concrete Girdes.” Procedia material Science 3 (2014) 1717-1722. [2]. Christos G. Papakonstantinou, Perumalsamy N. Balaguru and Michael F. Petrou, “Analysis of Reinforced concrete beams strengthened with composites subjected to Fatigue loading”, 2001. [3]. Girish M.G. , A. Chandrashekhar and A. U. Ravi Shankar, “ Flexural Fatigue Analyasis of Steel Fibre Reinforced concrete” International Journal of Earth Science and Engineering, October 2012, P.P. 1352-1357. [4]. Gurbir Kaur and S.P. Singh, “flexural fatigue strength of the steel fiber reinforced concrete (SFRC) containing blends of limestone powder and silica fume.” Internation Journal of Emerging Technology and Advanced Engineering ISSN (2250 2459, Volume 2 Issue 6 June 2012). [5]. H. Dilmi, C. Aribi, B. Safi, B. Bezzazi, M. Saidi and O. Lounas, “ The fatigue flexural behaviour of fiber reinforced concrete: Effect of the parameters of coarse aggregates.” Academic Journals Vol.10(1), p.p 31-40, 15 January, 2015. [6]. John A. Crumley and Thomas W. Kennady, “Fatigue and repeated load elastic characteristics of Inservice Portland cement concrete.”Center for Highway research The University of texas at Austin, Texas, 1977. [7]. M. Heeralal, P. Rathish Kumar, Y.V. Rao, “ Flexural Fatigue Charactristics of Steel Fiber Rienforced Aggregate Concrete.” Architecture and Civil Engineering Vol.7, No. 1, 2009. Pp. 19-33. [8]. Roger G. Slutter and Carl E. Ekberg, Jr., “ Static and fatigue tests on prestressed concrete railway slabs”, Fritz Engineering Laboratory Structural Concrete Division, Report No. 6 June Jully 1958. [9]. S.P. Singh and B.R. Ambedkar, “Flexural fatigue strength prediction of steel fiber reinforced concrete beams.” Electronic Journal of Structural Engineering (8) 2008. [10]. S.P. Singh and S.K. Kaushik, “Behaviour of steel fiber reinforced concrete (SFRC) under fatigue strength.” Cement and concrete composites 25 (2003) 779 786. [11]. Tarun R.Naik and Shiw S. Singh, “Fatigue behaviour of plain concrete with or without fly ash.” Electric power research institute 3412 Hillview avenue Palo Alto, California 94304, 1994. [12]. Y. Chen, W. Shao, H. Han and Z. Yin, “Experimental research on high-frequency fatigue behaviour of concrete.” Challenges, Opportunities and solutions in Structural Engineering and Construction- Ghafoori (ed.) 2010.
Chavan Milind Krishna, Prof. Patil Chetan Shankarrao "Fatigue Strength in Flexure of Steel Fibre Reinforced Concrete- A Review" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.21-23 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/21-23.pdf
This paper proposed to analyze the earlier cancer detection method to easily and efficiently identify the cancer tumours such as lung cancer, skin cancer, breast cancer and blood cancer. These are using the image processing techniques and machine learning techniques. Periodic clinical checkups and self-tests help in early detection and thereby significantly increase the chances of survival. In this work, an automated system is to achieving error-free detection of breast cancer using mammogram. A number of methods have been developed on classification, clustering, and probabilistic techniques for detection of CaP (prostate cancer). X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. The proposed system analyzes the techniques to overcome the disadvantages for the existing methods.
- Page(s): 24-27
- Date of Publication: 23 October 2018
- S.J. SubhashiniAssociate Professor, Department of CSE,
KLN College of Information Technology, Pottapalayam, Sivagangai District, Tamil Nadu, India - K.NagalakshmiAssociate Professor, Department of CSE,
KLN College of Information Technology, Pottapalayam, Sivagangai District, Tamil Nadu, India - M.IlakkiyaPG (M.E) Scholar, Department of CSE,
KLN College of Information Technology, Pottapalayam, Sivagangai District, Tamil Nadu, India
References
[1]. Guzmán-Cabrera, R., Guzmán- Sepúlveda, J. R., Torres-Cisneros, M., May-Arrioja, D. A., Ruiz-Pinales, J., Ibarra-Manzano, O. G., ... & Parada, A. G. (2013). Digital image processing technique for breast cancer detection. International Journal of Thermophysics, 34(8-9), 1519- 1531. [2]. Garg, G., & Juneja, M. (2018). A Survey on Computer-Aided Detection Techniques of Prostate Cancer. In Progress in Advanced Computing and Intelligent Engineering (pp. 115-125). Springer, Singapore. [3]. Makaju, S., Prasad, P. W. C., Alsadoon, A., Singh, A. K., & Elchouemi, (2018). Lung Cancer Detection using CT Scan Images. Procedia Computer Science, 125, 107-114. [4]. Selvathi, D., & Poornila, A. A. (2018). Deep Learning Techniques for Breast Cancer Detection Using Medical Image Analysis. In Biologically Rationalized Computing Techniques For Image Processing Applications (pp. 159-186). Springer, Cham. [5]. Wang, W., & Wu, S. (2006, June). A study on Lung cancer detection by Image processing. In Communications, Circuits and Systems Proceedings, 2006 International Conference on (Vol. 1, pp. 371-374). IEEE. [6]. Ravanshad, R., Karimi Zadeh, A., Amani, A. M., Mousavi, S. M., Hashemi, S. A., Savar Dashtaki, A., ... & Zare, B. (2018). Application of nanoparticles in cancer detection by Raman scattering based techniques. Nano Reviews & Experiments, 9(1), 1373551. [7]. Zhou, C., Chase, J. G., Ismail, H., Signal, M. K., Haggers, M., Rodgers, G. W., & Pretty, C. (2018). Silicone phantom validation of breast cancer tumor detection using nominal stiffness identification in digital imaging elasto-tomography (DIET). Biomedical Signal Processing and Control, 39, 435-447. [8]. Ryan, E. J., & Creagh, E. M. (2018). Emerging methods in colorectal cancer screening. BJS, 105(2). [9]. Gipson, B. J., Robbins, H. A., Fakhry, C., & D'Souza, G. (2018). Sensitivity and specificity of oral HPV detection for HPV- positive head and neck cancer. Oral Oncology, 77, 52-56. [10]. Nakajima, T., & Yasufuku, K. (2018). Early Lung Cancer: Methods for Detection. In Interventions in Pulmonary Medicine (pp. 245-256). Springer, Cham. [11]. Arora, G., Dubey, A. K., & Jaffery, (2018). Classifiers for the Detection of Skin Cancer. In Smart Computing and Informatics (pp. 351-360). Springer, Singapore. [12]. Takakura, M., Matsumoto, T., Nakamura, M., Mizumoto, Y., Myojyo, S., Yamazaki, R., ... & Iizuka, T. (2018). Detection of circulating tumor cells in cervical cancer using a conditionally replicative adenovirus targeting telomerase‐positive cells.Cancer science. [13]. Motlagh, N. H., Jannesary, M., Aboulkheyr, H., Khosravi, P., Elemento, O., Totonchi, M., & Hajirasouliha, I. (2018). Breast Cancer Histopathological Image Classification: A Deep Learning Approach. [14]. Yuanpu Xie, Fuyong Xing, Xiaoshuang Shi, Xiangfei Kong, Hai Su, Lin Yang, Effcient and Robust Cell Detection: A Structured Regression Approach, Medical Image Analysis (2017),doi: 10.1016/j.media.2017.07.003 [15]. Joshua Cohen, J. D., Li, L., Wang, Y., Thoburn, C., Afsari, B., Danilova, L.,& Hruban, R. H. (2018). Detection and localization of surgically resectable cancers with a multi-analyte blood test. Science, eaar3247
S.J. Subhashini, K.Nagalakshmi, M.Ilakkiya, "Survey on Cancer Detection Techniques" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.24-27 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/24-27.pdf
Robotic devices tend to reduce the manual labor being put by humans in their daily tasks. In this paper, we develop a voice-controlled bot system.. The voice commands are given to the robot through the microphone, by using an SRC-speech recognition circuit and microcontroller. The robot can perform various movements on the given command like turn left or right, start or stop operations, move forward or backward. The voice commands are processed would result in the real-time performance of the bot. The speech signal would be converted to text form and the communication would take place digitally. The voice command would be converted into a digital audio signal which would be communicated to the robot over a Bluetooth network. The voice-controlled robot is made on a microcontroller 8051 circuitry based platform. It would also have an ultrasonic sensor which would be very useful for obstacle detection if any. The effectiveness of the voice communicated over a distance is measured through several experiments and using various concepts. Various other improvements are also discussed towards prospective applications in households, medical sector and industries factories where parallel tasking is to be performed.
- Page(s): 28-30
- Date of Publication: 26 October 2018
- Prof. Rupali Satpute Professor, Department of Electronics & Telecommunication, KJSIEIT Mumbai University, Mumbai, India
- Dhaval Patel UG Student, Department of Electronics & Telecommunication, KJSIEIT Mumbai University, Mumbai, India
- Atharva Pathak UG Student, Department of Electronics & Telecommunication, KJSIEIT Mumbai University, Mumbai, India
- Bhavik Panchal UG Student, Department of Electronics & Telecommunication, KJSIEIT Mumbai University, Mumbai, India
- Rushabh PatelUG Student, Department of Electronics & Telecommunication, KJSIEIT Mumbai University, Mumbai, India
References
[1]. A. K. and R. C., "Voice Controlled Robot," IEEE INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY. [2]. A. D. A. P. S. N. and L. R., "Three-way controlled android Smartphone-based," IEEE International Journal of Advanced Research in Computer and Communication Engineering, pp. 212-216, September 2015. [3]. K. K. and D. J. S., "ARDUINO BASED VOICE CONTROLLED ROBOT," International Research Journal of Engineering and Technology (IRJET), vol. 02, no. 01, pp. 49-51, March 2015. [4]. S. N. and S., "Design of a Voice Controlled Robotic Arm for Picking and Placing an object" IOSR Journal of Engineering, vol. 2(4), pp. 670-673, April 2012. [5]. Speech recognition and its application in voice based Robot control system, Luo Zhizeng; Zhao Jingbing Intelligent Mechatronics and Automation, 2004. Proceedings. 2004 International Conference. [6]. Smartphones android operated robot, http://www.sooxmatechnologies.com [7]. Piyare, R. and Tazil, M. (2011) “Bluetooth based home automation system using Android phones”.
Prof. Rupali Satpute, Dhaval Patel, Atharva Pathak, Bhavik Panchal, Rushabh Patel "Voice Controlled Bot" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.28-30 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/28-30.pdf
Evaluation of erosive behaviour of material becomes important since, engineering materials used in aerospace applications are subjected to such kinds of load. In this research work, the erosive nature of light weight polymer composite that reinforced with carbon fiber is evaluated. The significant effect of process parameters on affecting the performance characteristics of the composite such as erosion rate is determined. The experimental results show that the parameters namely jet velocity, impact angle plays a major role on influencing the erosion rate of Carbon Fibre Reinforced plastics (CFRP).
- Page(s): 31-33
- Date of Publication: 29 October 2018
- S. Suresh KumarAssistant Professor, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India
- M. Arul JothiUG Student, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India
- S. BalajeganathasasthaUG Student, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India
- S. RagulmaniUG Student, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Srivilliputtur, India
References
[1]. Suresh Arjula, HarshaA.P ., (2006). Study of erosion efficiency of polymers and polymer composites. Polymer Testing 25 188–196.
[2]. Rekha Rattan,Bijwe .J., (2006). Carbon fabric reinforced polyetherimide composites: Influence of weave of fabric and processing parameters on performance properties and erosive wear. Materials Science and Engineering A 420 342–350
[3]. HarshaA.P,Tewari U.S, Venkatraman .B., (2003). Solid particle erosion behaviour of various polyaryletherketone composites.Wear 254 693–712
[4]. Nejat Sar, Tamer Sınmazc¸Elik ., (2007). Erosive wear behaviour of carbon fibre/ polyetherimide composites under low particle speed.Materials and Design 28 351–355
[5]. Tewari U.S, Harsha A.P, Hager A.M, Friedrich.K .,(2003). Solid particle erosion of carbon fibre– and glass fibre–epoxy composites.Composites Science and Technology 63 549–557
[6]. HarshaA.P, Avinash, Thakre A (2007). Investigation on solid particle erosion behaviour of polyetherimide and its composites. Wear 262 807–818
[7]. Amar Patnaik, Alok Satapathy, Navin Chand, Barkoula N.M, SandhyaraniBiswas ., (2010). Solid particle erosion wear characteristics of fiber and particulate filled polymer composites. Wear 268 249–263
[8]. Gary Tibbetts .G, Max Lake .L, Karla Strong. L, Brian Rice .P., (2007) A review of the fabrication and properties of vapor-grown carbon nanofiber/polymer composites.Composites Science and Technology 67 1709–1718
S. Suresh Kumar, M. Arul Jothi, S. Balajeganathasastha, S. Ragulmani "Erosive Behaviour of Carbon Fiber Reinforced Polymer Matrix Composites" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.31-33 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/31-33.pdf
A logic design whose outputs at a specified time are a function only of the inputs at that time. In practice, any combinational circuit will have a finite transit time, or delay, between the inputs changing; the motive of the term combinational is to include algebraic elements i.e, AND gates, OR gates, etc. and preclude memory elements i.e flipflops, etc. Carry-look ahead adder is a method that is used in multibit parallel adders whereby the carry into an individual elements of the adder can be predicted with a smaller delay than that required for the carry to be produced by transferring through previous adder stages as a result of adding the less significant addend and augend bits.
- Page(s): 34-36
- Date of Publication: 30 October 2018
- G. BarathB.E Student, Department of ECE, SNS College of Technology, Coimbatore – 35, Tamil Nadu, India
- D. AjayB.E Student, Department of ECE, SNS College of Technology, Coimbatore – 35, Tamil Nadu, India
- G. Hemanth KumarB.E Student, Department of ECE, SNS College of Technology, Coimbatore – 35, Tamil Nadu, India
- N. HarishB.E Student, Department of ECE, SNS College of Technology, Coimbatore – 35, Tamil Nadu, India
- M. GowthamB.E Student, Department of ECE, SNS College of Technology, Coimbatore – 35, Tamil Nadu, India
- G. Naveen BalajiAssistant Professor, Department of ECE, SNS College of Technology, Coimbatore – 35, Tamil Nadu, India
References
[1]. N.Weste and K.Eshraghian,--Principles of VLSI Design, A system perspective,Reading,MA:Addison-Wesley,1993. [2]. Shital Baghel, Pranay Kumar Rahi,Nishant Yadav,2015,”(CMOS) Half Adder Design & Simulation Using Different Foundry”, International al Journal of Innovative Science, Engineering & Technology(IJISET),Vol.2 Issue 3,pp.195-622,Aug.2000. [3]. Ming-Bo Lin, “Introduction to VLSI systems A logic, circuit and system perspective,” Taylor & Fransis group,ch. 7 [4]. Neil H. E. Weste, David Harris and Ayan Banaerjee,”CMOS VLSI Design”.Pearson Education,Inc.,pp.11,Third edition,2005. [5]. M. Morris Mano, Michael D. Cilleti “Digital Design”,4th edition,pp.143,2012. [6]. Sung-Mo Kang, Yusuf Leblebici;” CMOS digital integrated circuits: analysis and design”; Tata Mcgraw-Hill,Third Edition,pp.1-847,2003. [7]. Kaushik Roy and S.C.Prasad,”Low power CMOS VLSI circuit design”,Willey,pp.1-129,2000 [8]. R. Zimmermann, W. Fichtner,”Low-power logic styles: CMOS versus pass transistor logic”,IEEE J. Solid-state Circuits, Vol.32,NO.7,pp.1079-1090,1997 [9]. E.M.M.Poncino,(1996)Power Consumption of Static and Dynamic CMOS circuits, IEEE,2nd International Conference on ASIC,pp.425-427. [10]. P.S. Aswale and S.S.Chopade,(2013) Comparative Study of Different Low Power Design Techniques for reduction of Leakage power in CMOS VLSI Circuits ,IJCA(0975-8887,Volume 70-NO.1 [11]. R.L.Geiger, P.E.Allen, N.R.Strander (2013) VLSI Design techniques for Analog and Digital Circuits, McGraw Hill,New Delhi,India,.[page.No.597-ch7 [12]. S. Shobana, R. Ramya, K.K. Rashika, G. Naveen Balaji, K. Boopathiraja, “Hamming Window Function based FFT Analysis of Advanced Approximate Adder design in 125nm CMOS technology using Transmission gates”, International Journal of Science and Innovative Engineering & Technology, Vol. 5, Issue: May 2018. [13]. G.Naveen Balaji, P.Malini, T.Poovika, P.Shanmugavadivu, “14T Full Adder in 125nm CMOS technology for FFT applications using piecewise constant interpolation f(x) = 2.0”, Advances in Natural and Applied Sciences (Scopus), Vol. 12, Issue 9 (Sep 2018) pp: 17-26, ISSN: 1995-0772 [14]. G. Naveen Balaji, S.Chenthur Pandian, “Design for Testability of Kipbond Logic” “Perspectivas em Ciência da Informação” (Annexure - I), School of Information Science of the Federal University of Minas Gerais (UFMG), Vol. 22, No. SP.01, pp: 261-284, ISSN 1413-9936 [15]. G. Naveen Balaji, S. Chenthur Pandian, “Design of test pattern generator (TPG) by an optimized low power design for testability (DFT) for scan BIST circuits using transmission gates”, Cluster Computing, The Journal of Networks, Software Tools and Applications, DOI: 10.1007/s10586-018-2552-x, ISSN: 1386-7857 (Impact Factor: 2.040)
G. Barath, D. Ajay, G. Hemanth Kumar, N. Harish, M. Gowtham, G. Naveen Balaji "Static - CMOS Technology Based Low Power Carry Look Ahead Adder for High Speed Applications" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.34-36 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/34-36.pdf
Spot welding or specifically resistance spot welding is one of the most popular welding in sheet metal sector in automobile industry. It is one of the oldest of the electric welding processes in use by industry today. Furthermore, other metal-to-metal connections, such as wire-to-wire joints in the electronics industry, are accomplished by resistance spot welding. The main advantage of this welding is that the material joined by spot welding has smooth appearance and strength as compared with other welding process. The problem associated with spot welding is weakening of weld spot that is the strength of the weld get reduced due to some input parameters. The aim of this research is to determine the most significant parameter that affect the strength of the welded joint or spot. In this research work, Stainless steel is used as working material. In this research work, total 9 samples are prepared and their strength is measured on universal Tensile Machine. The significant parameter is found out by using response surface methodology and the optimized parameters are validated by taking confirmatory test. All the spotting work is conducted on KIRTI spotting machine (SPM) with a copper electrode.
- Page(s): 37-41
- Date of Publication: 03 November 2018
- R.D.ShelkeHOD, Mechanical Engineering Department, Everest College of Engg.& Technology, Aurangabad, Maharashtra, India
- Punam Sukhdev GawaliPG Student, Mechanical Engineering Department, Everest College of Engg.& Technology, Aurangabad, Maharashtra, India
- N. S. KalyankarAssistant Prof. , Mechanical Engineering Department, Everest College of Engg.& Technology, Aurangabad, Maharashtra, India
References
[1]. “Optimization of spot welding process Parameters for maximum tensile Strength” by Manoj Raut and Vishal Achwal , ISSN 2278 – 0149 www.ijmerr.com,,Vol. 3, No. 4, October 2014. [2]. “Optimization of parameters for spot welding process By experimentation” by G.gopinath, international journal of mechanical and production engineering, issn: 2320-2092, volume- 4, issue-10, oct.-2016. [3]. “optimization of resistance spot welding parameters using taguchi method”by A. K. PANDEY, M. I. KHAN, K. M. MOEED, International Journal of Engineering Science and Technology (IJEST), ISSN : 0975-5462 Vol. 5 No.02 February 2013. [4]. “Optimization of Resistance Spot welding Parameters Using Taguchi Method” by Shailesh kumar Vishwakarma”, International Journal of Advance research, Ideas, Innovation In technology, ISSN: 2454-132X , Impact factor: 4.295 ,(Volume3, Issue3). [5]. “Research Article Resistance Spot Welding Optimization Based on Artificial Neural Network” by Thongchai Arunchai,1 Kawin Sonthipermpoon,1 Phisut Apichayakul,1 and Kreangsak Tamee2 Hindawi Publishing Corporation, International Journal of Manufacturing Engineering,Volume 2014, Article ID 154784, 6 pages. [6]. “Spot Welding Parameter Optimization To Improve Weld Characteristics For Dissimilar Metals”by Aravinthan Arumugam, MohdAmizi Nor, International Journal Of Scientific & Technology Research Volume 4, Issue 01, January 2015 Issn 2277-8616. [7]. “Optimization and modeling of spot welding parameters with simultaneous multiple response consideration using multi-objective Taguchi method and RSM” by Norasiah Muhammad1, Yupiter HP Manurung1,*, Mohammad Hafidzi1, Sunhaji Kiyai Abas1, Ghalib Tham1 and Esa Haruman1,2Journal of Mechanical Science and Technology 26 (8) (2012) 2365~2370, www.springerlink.com/content/1738-494x, DOI 10.1007/s12206-012-0618-x. [8]. “Application Of Taguchi Method For Resistance Spot Welding Of Galvanized Steel” by A.G. Thakur1, T.E. Rao1, M. S. Mukhedkar2 and V. M. Nandedkar3 ARPN Journal of Engineering and Applied Sciences, VOL. 5, NO. 11, NOVEMBER 2010 ISSN 1819-6608. [9]. “RSW Process Parameters Optimization by Taguchi Method” by IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 11, Issue 5 Ver. II (Sep- Oct. 2014), PP 46-54. [10]. “New parametric study of nugget size in resistance spot welding process using finite element method” by Hamid Eisazadeh a,*, Mohsen Hamedi b, Ayob Halvaee c, Materials and Design 31 (2010) 149–157. [11]. “The analysis of spot welding joints of steel sheets with closed profile by ultrasonic method” by Dariusz Ulbrich,Jakub Kowalczyk, MarianJósko, JarosławSelech, Case Studies in Nondestructive Testing and Evaluation 4 (2015) 8–14. [12]. “Regression modeling and process analysis of resistance spot welding on galvanized steel sheet” by Luo Yi a,b,*, Liu Jinhe a, Xu Huibin b, Xiong Chengzhi b, Liu Lin b, Materials and Design 30 (2009) 2547–2555. [13]. “Enhancing the Quality of Manual Spot Welding through Augmented Reality Assisted Guidance” by Dario Antonelli*, Sergey Astanin, 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14. [14]. “Weld quality monitoring research in small scale resistance spot welding by dynamic resistance and neural network” by Xiaodong Wana,b,YuanxunWangb, Dawei Zhaob, Yong An Huanga, Zhouping yina
R.D.Shelke, Punam Sukhdev Gawali, N. S. Kalyankar "Optimization of Process Parameters of Spot Welding of CRCA Steel" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.37-41 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/37-41.pdf
This study examines the performance of Non-Negative Matrix Factorization (NMF) technique in the electronic assessment of free text document. NMF is a low rank approximation technique. It has application in automated grading of free-text document by reducing the initial matrix generated from the set document into a low rank without compromising the semantic content. Our approach collects student and lecturers ‘response in a particular test, converts them to document-term matrix and reduce them using NMF to a low rank approximation matrix. The technique was evaluated using Pearson correlation coefficient and mean divergence error. The results show that a correlation of 0.921728 was observed between the manual scores and the NMF graded scores while 0.88729 was observed between the manual scores and LSA which indicates that NMF is a better assessor when compared to LSA. NMF generates a closer result to the human grade when compared to the LSA. It also proves the ability of NMF as a suitable technique for representing a document in a semantic space without compromising the semantic content of the document.
- Page(s): 42-47
- Date of Publication: 05 November 2018
- Rufai M. M Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria
- Adigun J. O.Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria
- Okikiola F. M. Department of Computer Technology, Yaba College of Technology, Lagos, Nigeria
References
[1]. Casalino G., Del Buono N., Mencar C. (2016) Nonnegative Matrix Factorizations for Intelligent Data Analysis. In: Naik G. (eds) Non-negative Matrix Factorization Techniques. Signals and Communication Technology. Springer, Berlin, Heidelberg [2]. Farrús, M., & Costa-jussà, M. R. (2013). Automatic evaluation for e-learning using latent semantic analysis: A use case. The International Review of Research in Open and Distributed Learning, 14(1), 239-254. [3]. Maria De Marsico, Andrea Sterbini and Marco Temperini (2016), “Grading Open-Ended Questions in an Educational Setting, via Non-exclusive Peer Evaluation”, State-of-the-Art and Future Directions of Smart Learning p.357 [4]. Martin, D. I., Martin, J. C., & Berry, M. W. (2016). The Application of LSA to the Evaluation of Questionnaire Responses. In Unsupervised Learning Algorithms (pp. 449-484). Springer, Cham. [5]. Senthil Kumaran, V., & Sankar, A. (2015). Towards an automated system for short-answer assessment using ontology mapping. International Arab Journal of e-Technology, 4, 17-25.
Rufai M. M, Adigun J. O. and Okikiola F. M. "Electronic Assessment of Free Text Document Using Non-Negative Matrix Factorization" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.42-47 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/42-47.pdf
The paper presents a Genetic Algorithm (GA) approach to solve Job Shop Scheduling Problem (JSSP) with Sequence Dependent Setup Times (SDST) and assess effect of different combinations of crossover probability and mutation probability on makespan performance measure. Six case studies of varying sizes ranging from five parts, five machines to fifty parts, fifty machines are taken into consideration. Results for six case studies are generated for four different combination of crossover and mutation probabilities in a manufacturing scenario where setup times are equal to operation processing times. It indicates that the effect of crossover and mutation probability combination of 0.85 and 0.15 respectively results in optimal makespan.
- Page(s): 48-52
- Date of Publication: 09 November 2018
- Suresh Holi Research Scholar, Department of Mechanical Engineering, JSS Academy of Technical Education, Bengaluru, India (Affiliated to Visvesvaraya Technological University, Belagavi, INDIA).
- B P Shivakumar Department of Mechanical Engineering, JSS Academy of Technical Education, Bengaluru, India
References
[1]. Fuchigami, H. Y., & Rangel, S. (2018). A survey of case studies in production scheduling: Analysis and perspectives. Journal of Computational Science, 25, 425-436. [2]. Pinedo, M. L. (2016). Scheduling: theory, algorithms, and systems. Springer. [3]. Vinod, V., & Sridharan, R. (2008). Scheduling a dynamic job shop production system with sequence-dependent setups: an experimental study. Robotics and Computer-Integrated Manufacturing, 24(3), 435-449. [4]. Phanden, R. K., Jain, A., & Verma, R. (2012). A genetic algorithm-based approach for job shop scheduling. Journal of Manufacturing Technology Management, 23(7), 937-946. [5]. Moghaddas, R., & Houshm, M. (2008). Job-shop scheduling problem with sequence dependent setup times. [6]. Wang, L., & Zheng, D. Z. (2002). A modified genetic algorithm for job shop scheduling. The International Journal of Advanced Manufacturing Technology, 20(1), 72-76. [7]. Allahverdi, A., Gupta, J. N., & Aldowaisan, T. (1999). A review of scheduling research involving setup considerations. Omega, 27(2), 219-239. [8]. Allahverdi, A., Ng, C. T., Cheng, T. E., & Kovalyov, M. Y. (2008). A survey of scheduling problems with setup times or costs. European journal of operational research, 187(3), 985-1032. [9]. Sharma, P., & Jain, A. (2016). A review on job shop scheduling with setup times. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230(3), 517-533. [10]. Cheung, W., & Zhou, H. (2001). Using genetic algorithms and heuristics for job shop scheduling with sequence-dependent setup times. Annals of Operations Research, 107(1-4), 65-81. [11]. Naderi, B., Zandieh, M., & Fatemi Ghomi, S. M. T. (2009). Scheduling job shop problems with sequence-dependent setup times. International journal of production research, 47(21), 5959-5976. [12]. Xu, L., & Hu, W. B. (2012). The effect of crossover and mutation operators on genetic algorithm for job shop scheduling problem. In Advanced Materials Research (Vol. 542, pp. 1251-1259). Trans Tech Publications. [13]. Jalali Varnamkhasti, M., Lee, L. S., Abu Bakar, M. R., & Leong, W. J. (2012). A genetic algorithm with fuzzy crossover operator and probability. Advances in Operations Research, 2012. [14]. Hong, T. P., Wang, H. S., Lin, W. Y., & Lee, W. Y. (2002). Evolution of appropriate crossover and mutation operators in a genetic process. Applied Intelligence, 16(1), 7-17. [15]. Tay, J. C., & Wibowo, D. (2004, June). An effective chromosome representation for evolving flexible job shop schedules. In Genetic and Evolutionary Computation Conference (pp. 210-221). Springer, Berlin, Heidelberg. [16]. Azzouz, A., Ennigrou, M., & Said, L. B. (2016, April). Flexible Job-shop Scheduling Problem with Sequence-dependent Setup Times using Genetic Algorithm. In ICEIS (2) (pp. 47-53). [17]. Sadegheih, A. (2006). Scheduling problem using genetic algorithm, simulated annealing and the effects of parameter values on GA performance. Applied Mathematical Modelling, 30(2), 147-154. [18]. Jia, H. Z., Fuh, J. Y., Nee, A. Y., & Zhang, Y. F. (2007). Integration of genetic algorithm and Gantt chart for job shop scheduling in distributed manufacturing systems. Computers & Industrial Engineering, 53(2), 313-320. [19]. Defersha, F. M., & Chen, M. (2010). A parallel genetic algorithm for a flexible job-shop scheduling problem with sequence dependent setups. The international journal of advanced manufacturing technology, 49(1-4), 263-279. [20]. Roshanaei, V., Balagh, A. K. G., Esfahani, M. M. S., & Vahdani, B. (2010). A mixed-integer linear programming model along with an electromagnetism-like algorithm for scheduling job shop production system with sequence-dependent set-up times. The International Journal of Advanced Manufacturing Technology, 47(5-8), 783-793. [21]. French, S. (1982). Sequencing and scheduling. An Introduction to the Mathematics of the Job-Shop. [22]. Mattfeld, D. C. (2013). Evolutionary search and the job shop: investigations on genetic algorithms for production scheduling. Springer Science & Business Media. [23]. Bagheri, A., & Zandieh, M. (2011). Bi-criteria flexible job-shop scheduling with sequence-dependent setup times—variable neighborhood search approach. Journal of Manufacturing Systems, 30(1), 8-15. [24]. Busetti, F. (2007). Genetic algorithms overview. Retrieved on December, 1. [25]. Deb, K. (1999). An introduction to genetic algorithms. Sadhana, 24(4-5), 293-315.
Suresh Holi, B P Shivakumar "A Genetic Algorithm Based Approach to Job Shop Scheduling with Sequence Dependent Setup Times" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.48-52 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/48-52.pdf
Agriculture credit has been conceived to play an important role in agricultural development of India large number of institutional agencies are involved in the disbursement of credit to agriculture. However, the persistence of money lenders in the rural credit market is still a major concern .In this backdrop, the present study aims at to assess the quantum of loans issued by institutional agencies i.e. co-operatives ,Scheduled Commercial Banks and regional rural banks to agriculture in India. The highest increase in loans issued was found in the case of Scheduled Commercial Banks i.e from 36.11% in1982-83 to 73.47% in, 2015-16 while in the case of Co-operatives the amount of finance decreased from 59.83% in1982-83 to 16.83%, in 2015-16.The total direct advances to agriculture and outstanding by scheduled commercial banks shown gradual increased.
- Page(s):53-57
- Date of Publication: 09 November 2018
- K. Nagi ReddyPh.D Research Scholar, Vikramasimhapuri University, P.G. Centre, Kavali, Nellore (dt.), Andhra Pradesh, India
- Dr. M. ChandraiahProfessor, Department of Commerce, Research Supervisor, Vikramasimhapuri University, P.G. Centre, Kavali, Nellore (dt.), Andhra Pradesh, India
References
[1]. Handbook of Statistics on the Indian economy published by Reserve Bank of India Report on trend and progress of banking in India(.2015-16)Mumbai [2]. NABARD Databank (various issues) National Bank for Agriculture and Rural Development, Mumbai. [3]. Kumar, Anjani, Singh, Dhiraj K. and Kumar, Prabhat (2007) Performance of rural credit and factors affecting the choice of credit sources, Indian Journal of Agricultural Economics, 62(3): 297-313. [4]. Veerashekarappa. 1997. Institutional Finance for Rural Development . ISEC, Banglore. [5]. Hitesh Viramgami . 2003. Agricultural Credit: A Study of Working of Various Financial Institutions with Referance to Agricultural Credit Indian J. Marketing. 33(5): 28-31. [6]. Availability, Utilization and Repayment of Crop Loan; A case study of rice growers under district central Co-operative Bank, Rajpur J. Co-operative Manage. 39(1) 57-64. [7]. Gurmeet Singh, 2009. Micro Finance An Innovation in Rural Credit System . Yojana 54: 47-50. [8]. Bhosale. 1988. Overdues of Co-operative loans - A Case Study in Maharashtra Land Bank. J. 26(45).
K. Nagi Reddy, Dr. M. Chandraiah "Institutional Credit to Agriculture in India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.53-57 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/53-57.pdf
I. INTRODUCTION System is a way of working, organizing or doing one or more tasks according to the fixed plan, program or set of rules. A system is also an arrangement in which all its units assemble and work together according to the plan or program. An embedded system is combined working of hardware and software or additional mechanical or technical component to perform desired function. Any sort of device which includes programmable computer but itself is not intended to be general purpose computer is said to be embedded system. The lower layer of an embedded system is printed circuit board that includes busses and semiconductor devices. The upper layer is mainly application layer in between these two layers there are another two essential layers called device drivers and communication protocols. These features enable embedded systems to be relatively static and simple in functionality. However, there is a requirement for low cost, small physical footprint and negligible electrical or electronic radiation and energy consumption. Simultaneously they need to be physically rugged and impervious to external electrical and electronic interference.
- Page(s): 58-66
- Date of Publication: 12 November 2018
- Sethupathi.MUG Student, Department of ECE, SNS College of Technology, Coimbatore-641035, Tamil Nadu, India
- Sivaramakrishnan.NUG Student, Department of ECE, SNS College of Technology, Coimbatore-641035, Tamil Nadu, India
- Theeijitha.SUG Student, Department of ECE, SNS College of Technology, Coimbatore-641035, Tamil Nadu, India
- G.Naveen BalajiAssistant Professor, Department of ECE, SNS College of Technology, Coimbatore-641035, Tamil Nadu, India
References
[1]. J. N. Buxton and B. Randell, Eds., Software Engineering Techniques: Report of a Conference Sponsored by the NATO Science Committee, Rome, Italy, 27–31 Oct. 1969, Brussels, Scientific Affairs Division, NATO (1970). [2]. S. Vestal, “Preemptive scheduling of multi-criticality systems with varying degrees of execution time assurance,” in Proc. Real-Time Systems Symp., Tucson, AZ, USA, Dec. 2007, pp. 239–243. [3]. Burns and R. Davis, “Mixed-criticality systems: A review (7th edition),” 2016; Available: http:// www-users.cs.york.ac.uk/~burns/review.pdf 37 March/April 2018 [4]. J. Fenn and M. Raskino, Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time, Harvard Business School Press, 2008. [5]. R.K.Sharmaetal. “Balance of Power: DynamicThermalManagement ofInternet Data Centers”. Jan.2005 [6]. Esper, G. Nelissen, V. Nélis, and E. Tovar, “How realistic is the mixed-criticality real-time system model?” in Proc. 23rd Int. Conf. Real Time Networks Sys. (RTNS ’15), New York, NY, USA, 2015, pp. 139–148. [7]. R. Ernst and M. Di Natale, “Mixed criticality systems – A history of misconceptions?” IEEE Des. Test, vol. 33, no. 5, pp. 65–74, 2016. [8]. S. Baruah, “Schedulability analysis of mixed-criticality systems with multiple frequency specifications,” in Proc. 16th Int. Conf. Embed. Software (EMSOFT), Oct. 2016, Pittsburgh, PA, USA. [9]. S. Baruah and B. Chattopadhyay, “Response-time analysis of mixed criticality systems with pessimistic frequency specification,” in Proc. IEEE Int. Conf. Embed. Real-Time Comput. Syst. Appl. (RTCSA), Taipei, Taiwan, 2013. [10]. Burns and R. Davis, “Mixed criticality on controller area network,” in Proc. 2013 25th Euromicro Int. Conf. Real-Time Systems (ECRTS ’13), Paris, France,Jul. 2013, pp. 125–134. [11]. S. Baruah and A. Burns, “Implementing mixedcriticality systems in Ada,” in Reliable SoftwareTechnology – Ada Europe 2011, A. Romanovsky andT. Vardanega, Eds., Edinburgh, UK: Springer, 2011,pp. 174–188. [12]. S. Baruah, “Schedulability analysis for a general modelof mixed criticality recurrent real-time tasks,” in Proc.2016 IEEE Real-Time Syst. Symp., Dec. 2016. [13]. L. Sha, R. Rajkumar, J. Lehoczky, andK. Ramamritham, “Mode change protocols for priority-driven preemptive scheduling,” J. Real-Time Syst.,vol. 1, no. 3, pp. 243–264, 1988. [14]. S. Davari and S.K. Dhall, “On a Real-Time Task Allocation Problem,” Proc.19th Hawaii Int’l Conf. System Science, Jan. 1985. [15]. S. Davari and S.K. Dhall, “An On-Line Algorithm for Real-Time TasksAllocation,” Proc. Real-Time Systems Symp., pp. 194-200, 1986. [16]. M. Dertouzos, “Control Robotics: The Procedural Control of PhysicalProcessors,” Proc. IFIP Congress, pp. 807-813, 1974. [17]. S.K. Dhall and C.L. Liu, “On a Real-Time Scheduling Problem,” OperationsResearch, vol. 26, pp. 127-140, 1978. [18]. S. Funk, J. Goossens, and S. Baruah, “On-Line Scheduling on Uniform Multiprocessors,” Proc. IEEE Real-Time Systems Symp., pp. 183-192, Dec.2001. [19]. J. Leung and J. Whitehead, “On the Complexity of Fixed-Priority Scheduling of Periodic, Real-Time Tasks,” Performance Evaluation, vol. 2,pp. 237-250, 1982. [20]. C. Liu and J. Layland, “Scheduling Algorithms for Multiprogramming in a Hard Real-Time Environment,” J. ACM, vol. 20, no. 1, pp. 46-61, 1973. [21]. D.I. Oh and T.P. Baker, “Utilization Bounds for N-Processor Rate Monotone Scheduling with Static Processor Assignment,” Real-Time Systems: The Int’lJ. Time-Critical Computing, vol. 15, pp. 183-192, 1998.
Sethupathi.M, Sivaramakrishnan.N, Theeijitha.S, G.Naveen Balaji "RTOS System Scheduling With WCET Estimation Using EDF-VD Algorithm" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 10, October 2018, pp.58-66 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue10/58-66.pdf