Dinuclear metal complexes prepared form Schiff base having ON-NO donor atoms investigated into the magnetic properties of molecular-based materials containing a polynuclear assembly have become a fascinating subject in the field of condensed matter physics and materials chemistry (Dalai et al., 2002; Bhaduri et al., 2003. Also, the binuclear Fe (III) complex have distorted octahedral configurations and was prepared through the thermal transformation of its mononuclear complex to the binuclear one. All complexes and the corresponding thermal products were isolated and their structures were elucidated by elemental analyses, conductance, IR and electronic absorption spectra, magnetic moments, 1H NMR and EPR.
- Page(s): 01-18
- Date of Publication: 15 March 2016
- G. AnanthakrishnanDepartment of Physics
Saranathan College of Engineering, Trichirapalli-620 012, India - S. Sujatha K. BalasubramanianDepartment of Physics
Saranathan College of Engineering, Trichirapalli-620 012, India
References
[1]. (a) F. Mull, G. Van Koten, K. Vrieze, K.A.A. Duineveld, D. Heijderijk, A.N.S. Mak, C.H. Stam, Organomettalics 8 (1989) 1324. (b) F. Mull, G. Van Koten, K. Vrieze, D. Heijderijk, A.N.S. Mak, C.H. Stam, Organomettalics 8 (1989) 33. (c) F. Mull, G. Van Koten, K. Vrieze, D. Heijderijk, B.B. Krijnenm, C.H. Stam, Organomettalics 41 (1989) 1324. (d) F. Mull, G. Van Koten, M.J.A. Kraakman, K. Vrieze, K.A.A. Duineveld, D. Heijderijk, M.C. Zoutberg, Organomettalics 8 (1989) 1331. (e) F. Mull, G. Van Koten, L.H. Polm, K. Vrieze, M.C. Zoutberg, D. Heijderijk, E. Kragten, C.H. Stam, Organomettalics 8 (1989) 1340. [2]. R.H. Holm and G.W. Everest (Jr). J. Am. Chem. Soc. 88 (1966) 2442. [3]. J.C. Bailar and H.A. God Winard, J. Am. Chem. Soc. 63 (1964) 2467. [4]. D.G. Hodgon, Prog. Inorg. Chem. 19 (1975) 173. [5]. R. Whyman and E. Hatfield, Transition Met. Chem. 5 (1969) 47. [6]. B. Sahoo and J. Chakravarty, Ind. J. Chem. 204 (1981) 431. [7]. B.B. Mahapatra and S.K. Pujari, Chemical Tech and Biotech (UK) in press. [8]. B.B. Mahapatra, D. Panda and B.K. Patel, Acta Chim. (Hung) in press. [9]. B.B.Mahapatra and S.K. Pujari, Acta Chim. (Hung) in press. [10]. D. Gatteschi, R. Sessoli, J. Villain, Molecular Nanomagnets, Oxford University Press, 2006. [11]. R. Winpenny (Ed.), Struct. Bonding 122 (2006). [12]. D.N. Kumar, B.S. Garg, Spectrochimica Acta Part A, 64 (2006) 141-147. [13]. N.K. Dutt, K. Nag, J. Inorg. Nucl. Chem. 30 (1968) 2493-2499. [14]. M. Shakir, K.S. Islam, A.K. Mohamed, M. Shagufa, S.S. Hasan, Transition Met. Chem. (1999) 577. [15]. S. Chandra, R. Kumar, Transition Met. Chem. 29 (2004) 269. [16]. M. Shakir, K.S. Islam, A.K. Mohamed, N. Jahn, Transition Met. Chem. 22 (1997) 189. [17]. T.A. Khan, S.S. Hasan, S.P. Varkey, M.A. Rather, N. Jahan, M. Shakir, Transition Met. Chem. 22 (1997) 4. [18]. D.N. Kumar; B.S. Garg, Spectrochimica Acta Part A, 64 (2006) 141-147. [19]. M.J.M. Cambell, Coord. Chem. Rev., 15 (1975) 279-319. [20]. M. Amirnasr, K.J Schenk, A. Gorji, R. Vafazadeh, Polyhedron, 20 (2001) 695-702. [21]. R.K. Sharma, R.V. Singh, J.P. Tandon, J. Inorg. Nucl. Chem., 42 (1980) 1382-1384. [22]. D.D. Cox, S.J. Benkovic, L. Bloom, F.C. Bradley, M.J. Nelson, L. Jr. Que, D.E. Wallick, J. Am. Chem. Soc. 110 (1998) 2026-2032. [23]. R. Mayilmurugan, H.S. Evans, M. Palaniandavar, Inorg. Chem. (2008) 47, ASAP article. [24]. F. Bou-Abdallah, N.D. Chasteen, Spin concentration measurements of high spin (g = 4.3) rhombic iron(III) in biological samples: Theory and application. J. Biol. Inorg. Chem. 13 (2008) 15-24. [25]. F. Namuswe, T. Hayashi, Y. Jiang, G.D. Kasper, A.N.N. Sarjeant, P. Moenne-Loccoz, D.P. Goldberg, Influence of the Nitrogen Donors on Non-heme Iron Models of Superoxide Reductase: High Spin FeIII-OOr complexes. J. Am. Chem. Soc. 132 (2009) 157-167. [26]. Ashutosh Mishra, Rekha Sharma, B.D. Shrivastava, Indian Journal of pure and Applied Physics, November 49 (2011) 740-747. [27]. Ivan Nemec, Roman Boca, Milan Gembicky, Lubor dlhan, Radovan Herchel, Franz Renz, Inorganica Chimica. Acta, 369 (2009) 4754-4759. [28]. Dongwhan Lee, Brad Pierce, Carsten Krebs, P. Michael Hendrich, Boi Hanh Huynh and Stephen, J. Lippard, Journal of American chemical Society. 124 (2002) 3993-4007. [29]. R. Kumar, R. Singh, Turk. J. Chem. 30 (2006) 17. [30]. M. Velusamy, M. Palaniandavar, R. Srinivasa Gopalan, G.U. Kulkarni, Inorg. Chem. 42 (2003) 8283-8293. [31]. M. Velusamy, Mayilmurugan, M. Palaniandavar, Inorg. Chem. 43 (2004) 6284-6293. [32]. R.N. Mukherjee, P.D.T. Stack, R.H. Holm, J. Am. Chem. Soc. 110 (1988) 1850-1861. [33]. Niaz Mohammed, Afzal-Shah, Zia-ur-Rehman, Shankat Shuja, Saqib Ali, Ruman Qureshi, Auke Meetsma, Muhammed Nawaz Tahir, Journal of Organometallic Chemistry 694 (2009) 3431-3437.
G. Ananthakrishnan, S. Sujatha K. Balasubramanian "Synthesis and Characterisation of Dinuclear Iron(III) Complexes of the Schiff Base Ligands" International Journal of Research and Scientific Innovation-(IJRSI) vol.3 issue 3, pp.01-18 2016
Discrimination of Suitable Agricultural Area is a key element to maximize the utilization of land resource. Such measures can be done either through manual survey by field visit or digital image processing (DIP) under GIS environment. Shortfall in desired information from various algebraic index based image processing leads to propose an integrated approach. In this study biasness of individual vegetation index has been normalized by combining more than one index as per Weighted Linear Combination. The application of RS and GIS technique leads to prepare an agricultural suitability map for the year 2010 - 2011. Such experimental study was carried out in a selected remote block of West Midnapur district which have a mixed association of different green cover. Findings of the study privilege the introductory method as a best alternative in far off area with similar setup.
- Page(s): 05-09
- Date of Publication: 15 March 2016
- Subir Kumar MoyraScholar of Geography Department, East Calcutta Girls College, W. B. State University, India
- Dr. (Mrs.) Sukla HazraPrincipal, East Calcutta Girls College, W. B. State University, India
References
[1]. Bannari, A.,D. Mori, E. Bonn, 1995. A review of vegetation indices. Remote Sensing Reviews 1995 (13), 95–120. [2]. Bhatta, B. (2013) Remote sensing and GIS. Oxford university press, pp. 360-368. [3]. Choudhury, B.J., 1987. Relationships between vegetation indices, radiation absorption and net photosynthesis evaluated by a sensitivity analysis.Remote Sensing of Environment 22 (2), 209–233. [4]. Moyra, S. K., Hazra, S. & Roy, R. (2014) Application of multi criteria decision analysis for the identiofication of artificial ground water recharge zone. International journal of Remotesensing and GIS, vol. 3, no. 5, pp. 28-37. [5]. Rees, W.G. (2001) Physical principles of remote sensing, 2nd edition, Cambridge University Press, 269p. [6]. Sharma, D.D. & Ram, N. (2009) Environmental implication of landuse / landcover changes in Solan district, Himachal Pradesh. Geographical Review of India, vol. 71, no. 3, pp. 287-296. [7]. Satty T L, “The analytic hierarchy process: planning, priority setting, resource allocation,” McGraw-Hill, New York,1980, p287. [8]. Thompson, D.R. and Wehmanen, O. A. (1980) Integrating multi-criteria evaluation with geographical information systems.International Journal of Geographical Information Systems, vol. 5, no. 3, pp. 321-339. [9]. Jensen J. R. (2009), Remote sensing of the environment – an earth resource perspective, pp. 385-390.
Subir Kumar Moyra, Dr. (Mrs.) Sukla Hazra "Discrimination of Suitable Agricultural Area from Landsat TM Satellite Image by Assimilation of Tasseled Cap and Weighted Overlay" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.19-23 2016
This experimental investigation evaluates the comparative improvement of karanja biodiesel-diesel blend withthe help of ethanol as catalysts regarding emission and performance characteristics. Use of catalysts prominently improved brake power and decreased brake specific fuelconsumption. All the blends with catalysts showed decreased CO2, CO and HC emissions as compared with the blends without catalysts. The blends without ethanol as catalysts showed higher HC and CO emissions as compared with pure diesel in CI engine. The NOx emissions increased with the addition of catalysts in the biodiesel-diesel blend. However, this experimental investigation reveals that with the use of ethanol as catalysts along with biodiesel-diesel blend the exhaust emissions showed improvedresults as compared with the blends without catalysts and that of pure diesel. All the test results significantly improved with increase in the percentage of catalysts in biodiesel. Therefore the present paper provides a strong platform to continue further investigation on using biodiesel fuel in a diesel engine with variety of fuel catalysts under varying engine operating parameters.
- Page(s): 24-28
- Date of Publication: 15 March 2016
- Abdullah KhanRajiv Gandhi Institute of Technology, Mumbai, India
- A. G. LondhekarRajiv Gandhi Institute of Technology, Mumbai, India
- S. C. KongreASP Pipri, Wardha, India
References
[1]. Mohammed Takase, An expatiate review of neem, jatropha, rubber and karanja as multipurpose non-edible biodiesel resources and comparison of their fuel, engine and emission properties. Renewable and Sustainable Energy Reviews 43 (2015) 495–520. [2]. S.Imtenan, Emission and performance improvement analysis of biodiesel-diesel blends with additives Procedia Engineering 90 ( 2014 ) 472 – 477. [3]. Avinash Kumar Agarwal,AtulDhar,Experimental investigations of performance,emission and combustion characteristics of Karanja oil blends fuelled DICI engine. Renewable Energy 52(2013) 283-291. [4]. Anbarasu A, Saravanan M, Loganathan M. The effect of ethanol addition in a biodiesel operated DI diesel engine on combustion, performance, and emission characteristics. Int J Green Energy 2013;10:90–102. [5]. Sivalakshmi S, Balusamy T. Influence of ethanol addition on a diesel engine fuelled with neem oil methyl ester. Int J Green Energy 2012;9:218–28. [6]. Vedaraman N, Puhan S, Nagarajan G, Velappan K. Preparation of palm oil biodiesel and effect of various additives on NOx emission reduction in B20: an experimental study. Int J Green Energy 2011;8:383–97. [7]. VenkataSubbaiah G, Raja Gopal K. An experimental investigation on the performance and emission characteristics of a diesel engine fuelled with rice bran biodiesel and ethanol blends. Int J Green Energy 2011;8:197–208. [8]. D.H. Qi*, H. Chen, L.M. Geng, Y.Z. Bian. Effect of diethyl ether and ethanol additives on the combustion and emission characteristics of biodiesel-diesel blended fuel engine. Renewable Energy 36 (2011) 1252e1258. [9]. Syed AmeerBasha, K. Raja Gopal. A review of the effects of catalyst and additive on biodiesel production, performance, combustion and emission characteristics. Renewable and Sustainable Energy Reviews 16 (2012) 711– 717. [10]. HuseyinAydin. Effect of ethanol blending with biodiesel on engine performance and exhaust emissions in a CI engine. Applied Thermal Engineering 30 (2010) 1199–1204.
Abdullah Khan, A. G. Londhekar, S. C. Kongre "Performance and Emission Characteristics with the Use of Ethanol as a Catalysts along with Biodiesel-Diesel Blend in CI Engine" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.24-28 2016
Conventional refrigeration systems result in environmental concerns about global warming and ozone layer depletion due to use of Chloro Fluoro Carbons (CFCs) and Hydro Chloro Fluoro Carbons (HCFCs). Also these systems are not reliable and economical where compact design and noiseless operation is required. Due to environmental concerns and increasing demand for alternate cooling technology led us to use thermoelectric refrigeration. Currently thermoelectric refrigeration is considered to be popular cooling technology and which has potential to overcome problems regarding use of refrigerant based technologies. This paper provides a review of thermoelectric refrigeration system, performance analysis and potential applications of thermoelectric refrigeration. Use of thermoelectric technology in machining operations is innovative idea and it is outlined by suggesting experimentation work.
- Page(s): 29-32
- Date of Publication: 15 March 2016
- Darshan SuryawanshiDepartment of Mechanical Engineering
Sinhgad Institute of Technology & Science, Narhe, Pune, India - Vaibhav PokaleDepartment of Mechanical Engineering
Sinhgad Institute of Technology & Science, Narhe, Pune, India - Nikhil PokharkarDepartment of Mechanical Engineering
Sinhgad Institute of Technology & Science, Narhe, Pune, India - Akshay WalgudeDepartment of Mechanical Engineering
Sinhgad Institute of Technology & Science, Narhe, Pune, India - Prashant PatunkarDepartment of Mechanical Engineering
Sinhgad Institute of Technology & Science, Narhe, Pune, India
[1]. Arora, Dhanpat Rai,2008. Refrigeration and Air Conditioning, Eighth ed. Dhanpat Rai & Co.(P) LTD. [2]. R.S.Khurmi, J.K. Gupta.2011, Fifth revised Edition. S.Chand & Company LTD [3]. Umesh V. Sangale, Prof Priyanka Jhavar, Dr.G.R.Seloskar.S Thermoelectric refrigeration by Using Solar Energy for Domestic Appliance, IJRAT,Vol.3, No. 01, Jan 2015 [4]. Onarch Fransis,Chukuneke Jeremiah Lekwuwa, Performance Evaluation of a Thermoelectric Refrigerator, IJEIT, vol.2, Issue 7, January 2013 [5]. Jaspalsinh B.Dhabhi, Nilesh Parmar, Dr. Nirvesh S. Mehta, Consideration for design of thermoelectric refrigeration system, IJAERS, vol.1,Issue II, Jan-march,2012/259-26 [6]. V. Rajangam, M. Vekatramanan, Design and CFD analysis of thermoelectric cooling system, ICRAMET’15 [7]. Manoj Kumar Rawat, Prasanta Sen, H. Chattopadhyay, S. Neogi, Development and experimental study of solar powered Thermoelectric Refrigeration system, IJERA, Vol 3, Issue 4, Jul-Aug 2013, pp.2543-2547 [8]. S.A.Omar, S.B.Riffat, Xiaoli Ma, Experimental investigation of a thermoelectric refrigeration system employing a phase change material integrated with Thermal diode, Applied Thermal Engineering 21(2001),1265-1271 [9]. Gao Min, D.M.Rowe, Experimental Evaluation of prototype thermoelectric Domestic Refrigerators, Applied Energy 83 (2006) 133-152 [10]. Dongliang Zhao, Gang Tan, A review of thermoelectric cooling: materials, modeling and applications, App. thermal engineering 66 (2014), 15-24.
Darshan Suryawanshi, Vaibhav Pokale, Nikhil Pokharkar, Akshay Walgude, Prashant Patunkar "A Review of Performance Analysis & Potential Applications of Thermoelectric Refrigeration System" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.29-32 2016
Wind generation is one of the rapidly growing source of renewable energy. The uncertainty in the wind power generation is large due to the variability and intermittency in the wind speed, and operating requirements of power systems. Wind power forecasting is one of the inexpensive and direct methods to alleviate negative influences of intermittency of wind power generation on power system. This paper proposes an extreme learning machine (ELM) based forecasting method for wind power generation. ELM is a learning algorithm for training single-hidden layer feed forward neural networks (SLFNs). The performance of proposed model is assessed by utilizing the wind power data from three wind power stations of Ontario, Canada as the test case systems. The effectiveness of the proposed model is compared with persistence benchmark model.
- Page(s): 33-37
- Date of Publication: 15 March 2016
- Asima SyedElectrical and Renewable energy Engineering Department, Baba Ghulam Shah Badshah University, India
- S.K AggarwalElectrical Engineering Department Maharishi Markandeshwar University, India
References
[1] B. Parsons, M. Milligan, B. Zavadil, D. Brooks, B. Kirby, K. Dragoon,and J. Caldwell, “Grid Impacts of Wind Power: A Summary of Recent Studies in the United States,” in Proc. EWEC, Madrid, Spain, 2003. [2] R. Doherty and M. O’Malley, “Quantifying Reserve Demands due to Increasing Wind Power Penetration,” in Proc. IEEE Power Tech Conf. ,Bologna, Italy, vol. 2, pp. 23–26, 2003. [3] R. Doherty and M. O’Malley, “A New Approach to Quantify Reserve Demand in Systems with Significant Installed Wind Capacity,” IEEE Trans. Power Syst., vol. 2, no. 2, pp. 587–595, May 2005. [4] M. Lange and U. Focken, “ Physical Approach to Short-Term Wind Power Prediction ”New York, NY, USA: Springer, 2010. 5] S. Salcedo-Sanz, A. M. Perez-Bellido, E. G. Ortiz-Garcia, A. Portilla-Figueras, L. Prieto, and D. Paredes, “Hybridizing the Fifth Generation Mesoscale Model with Artificial Neural Networks for Short-Term Wind Speed Prediction,” Renew. Energy, vol. 34, no. 6, pp. 1451–1457, 2009. [6] H. Madsen, P .Pinson, G. Kariniotakis, H. A. Nielsen, and T. S .Nielsen, “Standardizing The Performance Evaluation of Short Term Wind Power Prediction Models,” Wind Eng., vol. 29, no. 6, pp. 475–489, 2005 [7] R. G. Kavasseri and K. Seetharaman, “Day-ahead Wind Speed Forecasting Using F-ARIMA Models,” Renew. Energy, vol. 34, no. 5, pp.1388–1393, 2009. [8] M. Yang, S. Fan, and W.J. Lee, “Probabilistic Short-Term Wind Power Forecast Using Componential Sparse Bayesian Learning,” IEEE Trans. Ind. Applicat., vol. 49, no. 6, pp. 2783–2792, 2013. [9] Wen-Yeau Chang, “Application of Back Propagation Neural Network for Wind Power Generation Forecasting”, Int. Journal of Digital Content Tech. and Its Applications, vol. 7, no.4, February 2013. [10] George Sideratos and Nikos Hatziargyriou, “An Advanced Radial Base Structure For Wind Power Forecasting,” Int. Journal of Power Energy Sys., vol. 12, pp. 1-10, 2008, ACTA Press. [11] A. U. Haque and J. Meng, “Short-Term Wind Speed Forecasting Based on Fuzzy ARTMAP,” Int. J. Green Energy, vol. 8, no. 1, pp. 65–80, 2011 [12] M. Mohandes, T. Halawani, S. Rehman, and A. A. Hussain, “Support Vector Machines For Wind Speed Prediction,” Renew. Energy, vol. 29, no. 6, pp. 939–947, 2004. [13] Duehee Lee and Ross Baldick, “Short-Term Wind Power Ensemble Prediction Based on Gaussian Processes and Neural Networks”, IEEE Trans. Smart Grid, vol. 5, no. 1, pp.501-510, January 2014. [14] G. Kariniotakis, G. Stavrakakis, and E. Nogaret, “Wind Power Forecasting Using Advanced Neural Network Models,” IEEE Trans. Energy Convers., vol. 11, no. 4, pp. 762–767, December 1996. [15] N. Amjady, F. Keynia, and H. Zareipour, “Wind Power Prediction by a New Forecast Engine Composed of Modified Hybrid Neural Network and Enhanced Particle Swarm Optimization,” IEEE Trans. Sustain. Energy, vol. 2, no. 3, pp. 265–276, Jul. 2011. [16] Ashraf Ul Haque, M. Hashem Nehrir and Paras Mandal, “A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting”, IEEE Trans. Power Systems, vol. 29, no. 4, pp.1663-1672, July 2014 [17] P. Pinson and G. Kariniotakis, “Wind Power Forecasting Using Fuzzy Neural Networks Enhanced With On-line Prediction Risk Assessment,” in Proc. IEEE Power Tech Conf., Bologna, Italy, vol. 2, p. 8, June, 2003. [18] M. Negnevitsky, P. Johnson, and S. Santoso, “Short Term Wind Power Forecasting Using Hybrid Intelligent Systems,” in Proc. IEEE Power Eng. Soc. General Meeting, pp. 1–4, June 2007. [19] Guang Bin Huang, Qin-Yu Zhu and Chee-Kheong Siew, ‟ Extreme Learning Machine: Theory and Applications”, Neurocomputing, vol. 70, pp. 489-501, 2006. [20] G.B. Huang, Q.Y. Zhu, and C.K. Siew, “Extreme Learning Machine: A New Learning Scheme of Feed Forward Neural Networks,” in proc. Int. Joint Conf. on Neural Networks, Budapest, Hungary, vol. 2, pp. 985-990, Jul. 25–29, 2004. [21] G. B. Huang and H. A. Babri, “Upper Bounds on the Number of Hidden Neurons in Feed Forward Networks with Arbitrary Bounded Nonlinear Activation Functions,” IEEE Trans. on Neural Networks, vol. 9, no. 1, pp. 224-229, 1998. [22] G.B.Huang, “Learning capability and storage capacity of two-hidden-layer Feed Forward Networks,” IEEE Transactions on Neural Networks, vol. 14, no. 2, pp. 274-281, 2003.
Asima Syed, S.K Aggarwal "Wind Power Forecasting Using Extreme Learning Machine" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.33-37 2016
This technique was selected by us by taking into consideration some comfort for Teachers while cleaning the blackboard. It is seen that while doing this they often have to cover their mouth with one hand while cleaning the black-board by the other. By thinking over it we realized that we can really do something for them. So we decided to implement our course study and some extra knowledge and with the help of electrical and mechanical concept our project came into picture. The project Design and Development of Board Cleaning System can clean the blackboard and whiteboard automatically with rack and pinion mechanism and reduces the time consume in hand erasing. This project basically works on combined principles of mechanical and electronics. The growth of technologies requested higher performance machine in order to fulfill human needs and market. This project is implemented to make human work easier and can reduce the use of human power because of its potential applications. This appertains to new and useful improvements and more particularly to an apparatus whereby blackboards and whiteboard can be cleaned in an easy and convenient manner.
- Page(s): 38-41
- Date of Publication: 15 March 2016
- Gaurav GangurdeDepartment of Mechanical Engineering, RMD Sinhgad School of Engineering, Warje, India
Reference
[1]. S.Joshibaamali And K.Geetha Priya,’ Automatic Duster Machine’, International Journal Of Emerging Technology In Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 13 Issue 1 –MARCH 2015. [2]. Mr. Sunil R. Kewate , Mr Inzamam T. Mujawar, Mr. Akash D. Kewate , Mr.Hitesh R. Pant’, Development of New Smart Design to Erase the Classroom Blackboard of Schools/Colleges’, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684, p-ISSN: 2320-334X PP 57-61 . [3]. S.Nithyananth, A.Jagatheesh, K.Madan, B.Nirmalkumar,’ Convertable Four Wheels Steering With Three Mode Operation’, International Journal Of Research In Aeronautical And Mechanical Engineering, Issn (Online): 2321-3051. [4]. Dong Yeop Kim, Jae Min Lee1, Jongsu Yoon, Tae-Keun Kim1, Bong-Seok Kim, And Chang-Woo Park,’ Wall Shape Recognition Using Limit Switch Module’,International Journal of Control Theory and Computer Modeling (IJCTCM) Vol.4, No.1/2, April 2014. [5]. Mojtaba Khaliliana,, Ali Abedi, Adel Deris Zadeh, Energy procedia 14(2012) , 1992-1997
Gaurav Gangurde "Design and Development of Board Cleaning System" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.38-41 2016
“Excellence” is the word which is of requirement in every field and area now-a-days. No organization can survive in the long run without achieving excellence. Education is also not away from it. This paper aims at identifying the importance of achieving excellence in education together with the various ways to achieve it. The research methodology used in the paper will be secondary in nature. The possible findings may conclude that maintaining and sustaining high level of CRM would result into excellence a it helps in keeping pace with all the associated people as and when anything is required. It provides flexibility along with the sense of personal attention in all the concerned operations.
- Page(s): 42-44
- Date of Publication: 15 March 2016
- Dr. Shilpi SinghProfessor & Director, Department of Management Siddhivinayak Group of Colleges, Alwar, Rajasthan, India.
- Poonam Singh RathoreResearch Scholar, Department of Management, IIPM, Delhi, India.
- Mani TyagiAssistant Professor, Department of Management Accman Institute of Management, Greater Noida, Uttar Pradesh, India.
References
[1]. http://www.brainyquote.com/words/ex/excellence162353.html#ixzz1FPyanxmq retrieved on 25th feb, 2011. [2]. Steed, C. (2002). Excellence in higher education. Evaluating the implementation of the EFQM excellence model in higher education in the UK. Beitrage zur Hochschulforschung, Heft 1, 24. Jahrgang. pp. 74-98. Stepanov (FIND), retrieved on 24th feb, 2011. [3]. Vroeijenstijn A.I., (2001). Towards a Quality Model for Higher Education. INQAAHE-2001, retrieved on 25th feb, 2011. [4]. International journal of higher education research, ISSN No. 1573-174X, Journal No. 10734, retrieved on 26th feb, 2011. [5]. http://EzineArticles.com/?expert=Patrick_R_Doherty, retrieved on 26th feb, 2011. [6]. http://EzineArticles.com/?expert= Leapharris_David , retrieved on 23rd feb, 2011. [7]. http://EzineArticles.com/?expert= Chiara_Mauri , retrieved on 23rd feb, 2011. [8]. http://download.oracle.com/docs/cd/e1610701/psft/acrobat/crm/91ched-b1009.pdf) retrieved on 25th feb, 2011 [9]. Shainesh G, Sheth N. Jagdish, 2007, Customer relationship Management, Macmillan India Ltd., pp. 114-115. [10]. http://www.oppapers.com/essays/crm-higher-education/160681 retrieved on 02Feb, 2011 [11]. Trivedi Bhan Uday, 2010, E- Business and E- Commerce: The next generation business scenario, retrieved from Marketing Zephyr Vol.3, No.1, April – Sep, 21
Dr. Shilpi Singh, Poonam Singh Rathore, Mani Tyagi "Excellence in Higher Education" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.42-44 2016
Islanding is a condition where a part of the distribution system becomes electrically isolated from the remainder of the power system, yet continues to be energized by Distributed Generations (DG) connected to it. DG can provide in some cases a significant part of the load energy requirements. It is therefore important to consider the energy balance both locally, regionally and globally. This paper addresses the classification of DG islanding operational conditioncaused by interruption of main supply and utilizes the wavelet transform to characterize the DG islanding contingency. The proposed methods were verified using a simple distribution system consists of a utility supply with 3 DGs connected i.e. Wind-Turbine induction DG, Solid Oxide Fuel Cell (SOFC) and Micro turbine Synchronous Generator andloads. The generated data were used to test the performance of the detection technique. The proposed technique has been simulated andanalyzed in SimPowerSystem/MATLAB® simulation software.
- Page(s): 45-50
- Date of Publication: 15 March 2016
- Kumaresh PalCenturion University of Technology and Management, Bhubaneswar, India
- Debasis SahuCenturion University of Technology and Management, Bhubaneswar, India
References
[1]. A. Pigazo, M. Liserre, R. A. Mastromauro, A. Dell’Aquila and V. M. Moreno, ―Wavelet-based Islanding Detection in Grid-Connected PV Systems‖, IEEE Transactions on Industrial Electronics, vol. 56, no. 11. November 2009. pp. 4445-4455. [2]. IEEE Standard for ―Interconnecting Distributed Resources with Electric Power Systems,‖ IEEE Standard 1547-2003, 2003. [3]. "On Site Generation: Learn more about our onsite renewable energy generation technologies". E.ON SE. Retrieved 17 December 2015. [4]. "Distributed Generation—Educational Module". Virginia Tech. 2007. Retrieved July 2015. [5]. "Using Distributed Energy Resources". http://www.nrel.gov. NREL. 2002. p. 1. Archived from the original (PDF) on 8 September 2014. Retrieved 8 September 2014. [6]. http://www.NREL.gov, Distributed Energy Resources Interconnection Systems: Technology Review and Research Needs [7]. Lovins; Small Is Profitable: The Hidden Economic Benefits of Making Electrical Resources the Right Size; Rocky Mountain Institute; 2002 [8]. Michigan (Citation pending) [9]. Stan Mark Kaplan, Fred Sissine, (ed.) Smart grid: modernizing electric power transmission and distribution... The Capitol Net Inc, 2009, ISBN 1-58733-162-4, [10]. Eugeniusz Rosolowski, Arkadiusz Burek, Leszek Jedut, ―A NEW METHOD FOR ISLANDING DETECTION IN DISTRIBUTED GENERATION‖, IEEE [11]. M.G. Bartlett, M.A. Redfern, A Review of Techniques for the Protection of Distributed Generation against Loss of Grid, UPEC2000, September 6-8, Belfast, UK. [12]. P.D. Hopewell, N. Jenkins, A.D. Cross, Loss-of-Mains Detection for Small Generators, IEEE Proceedings, Electrical Power Applications, vol.143, no.3, May 1996, pp. 225-230. [13]. M.A. Redfern, O. Usta, G. Fielding, Protection against loss of utility grid supply for a dispersed storage and generation unit. IEEE Transaction on Power Delivery, Vol. 8, No.3, pp. 948-954, July1993. [14]. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, USA: CBMSNSF Regional Conference Series, SIAM, 1992. [15]. Hsieh C-T, Lin J-M, Huang S-J. Enhancement of islanding-detection of distributed generation systems via wavelet transform-based approaches. Int J Electr Power 2008;30:575–80. [16]. Samantaray SR, Pujhari TM, Subudhi BD. A new approach to islanding detection in distributed generations. In: International conference on power systems (ICPS); 2009. p. 1–6. [17]. B. Bala Sai Babu, N. Rama Devi, ―ISLANDING DETECTION IN DISTRIBUTED GENERATIONS USING NEGATIVE SEQUENCE COMPONENTS‖, [IJESAT], Volume-2, Issue-5, 1440 – 1446 [18]. Y. Zhu and K. Tomsovic. Development of models for analyzing the load- following performance of microturbine and fuel cells. Electric Power System Research journal, Dec. 2001.
Kumaresh Pal, Debasis Sahu "Detection of Islanding in Hybrid Distributed Generations" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.45-50 2016
Every organization needs to ensure that it has a strong support from its customers so that it can survive in this world of cut-throat competition. Every day organizations are coming up with new strategies to retain its customer base .One such strategy that is widely employed by organizations is to provide them monetary benefits in the guise of cash discounts or coupons. However, providing such benefits to all its customers would prove to be a costly affair for the company. To cut down the costs of this approach it is advisable to provide profits to only those customers who contribute greatly to the benefit of the organization. This would motivate the other customers to contribute more towards the development of the organization in order to acquire benefits.In this paper, we have implemented an approach that selects customers on the basis of their contributions to the enterprise and rewards them on the same basis.
- Page(s): 51-55
- Date of Publication: 15 March 2016
- Rohan KishanDepartment of Computer Engineering Fr. Conceicao Rodrigues Institute of Technology, Vashi, India
- Prashant ShindeDepartment of Computer Engineering Fr. Conceicao Rodrigues Institute of Technology, Vashi, India
- Sachin ManeDepartment of Computer Engineering Fr. Conceicao Rodrigues Institute of Technology, Vashi, India
- Sandhya PatiDepartment of Computer Engineering Fr. Conceicao Rodrigues Institute of Technology, Vashi, India
References
[1] Adriaans, P. and Zantinge, D. (1996). Data Mining. Addison Wesley Publishers. [2] F. Buttle CRM Value Chain (2006) [3] Han and Kamber (2006) Data Mining, Concepts and Techniques Morgan Kauffman [4] Hand, D.J., (1998). Data Mining: Statistics and More? The American Statistician, May 1998 Vol. 52, No. 2. 1998 American Statistical Association. [5] Larose, D.T., (2005). Discovering Knowledge in Data: An Introduction to Data Mining. John Wiley and Sons Publications. [6] Coppi, R., (2002). A theoretical framework for Data mining: the "Informational Paradigm". Computational Statistics and Data Analysis. Elsevier Science. [7] A Brief History of Data Mining. Available:http://www.data-mining-software.com/data_mining_history.html. [8] Rokack, L., Maimon, O., (2008). Data Mining with Decision Trees: Theory and Applications. World Scientific Publishing. [9] Thomas L.Friedman (2005)The World Is Flat: A Brief History of twenty first centuaryFarrar Strauss And Giroux.
Rohan Kishan, Prashant Shinde, Sachin Mane, Sandhya Pati "Selection of Favourable Customers by Discovering Trends in Buying Pattern" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.51-55 2016
This paper presents a synchronous-reference frame (SRF)-based control method to compensate power-quality(PQ) problems through a three-phase four-wire unified PQ conditioner (UPQC) under unbalanced and distorted load conditions. The proposed UPQC system can improve the power quality at the point of common coupling on power distribution systems under unbalanced and distorted load conditions. The simulation results based on Matlab/Simulink are discussed in detail to support the SRF-based control method presented in this paper. The proposed approach is also validated through experimental study with the UPQC hardware prototype.
- Page(s): 56-61
- Date of Publication: 15 March 2016
- Jholapura.Deepali.RM.E (Power System) Student of Government Engineering College, Bhuj, India
- Jhala.M.B.Associate Professor, HOD of Department of Electrical Engineering Government Engineering College, Bhuj, India
- S. K. ParmarAssistant Professor, Department of Electrical Engineering Government Engineering College, Bhuj, India
References
[1]. C. Sankaran, Power quality, Boca Raton, Fla.: CRC Press LCC, 2002.. [2]. H. Akagi and H. Fujita, “A new power line conditional for harmonic compensation in power systems,” IEEE Trans. Power Del., vol. 10, no. 3, pp. 1570–1575, Jul. 1995. [3]. L. Gyugyi and E. Strycula, “Active AC power filters,” in Conf. Rec. IEEE IAS Annu. Meeting, Chicago, IL, Oct. 1976, pp. 529– 535. [4]. H. Akagi, E. H. Watanabe, and M. Aredes, Instantaneous Power Theory and Applications to Power Conditioning. Hoboken, NJ: Wiley-IEEE Press, Apr. 2007. [5]. D. Graovac, V. Katic, and A. Rufer, “Power quality problems compensation with universal power quality conditioning system,” IEEE Trans.Power Del., vol. 22, no. 2, pp. 968–976, Apr. 2007. [6]. B. Han, B. Bae, H. Kim, and S. Baek, “Combined operation of unified power-quality conditioner with distributed generation,” IEEE Trans. Power Del., vol. 21, no. 1, pp. 330–338, Jan. 2006. [7]. M. Aredes, “A combined series and shunt active power filter,” in Proc IEEE/KTH Power Tech Conf., Stockholm, Sweden, Jun. 1995, pp. 18–22. [8]. Y. Chen, X. Zha, and J. Wang, “Unified Power Quality Conditioner (UPQC): The theory, modeling and application,” in Proc. PowerCon, 2000, vol. 3, pp. 1329–1333 [9]. H. Fujita and H. Akagi, “The unified power quality conditioner: The integration of series and shunt-active filters,” IEEE Trans. Power Electron., vol. 13, no. 2, pp. 315–322, Mar. 1998 [10]. M. Aredes, K. Heumann, and E. H.Watanabe, “An universal active power line conditioner,” IEEE Trans. Power Del., vol. 13, no. 2, pp. 545–551, Apr. 1998. [11]. V. Khadkikar and A. Chandra, “A new control philosophy for a Unified Power Quality Conditioner (UPQC) to coordinate load-reactive power demand between shunt and series inverters,” IEEE Trans. Power Del.,vol. 23, no. 4, pp. 2522–2534, Oct. 2008. [12]. M. Kesler, “Synchronous reference frame based application design and analysis of unified power quality conditioner,” Ph.D. dissertation, Kocaeli Univ., Kocaeli, Turkey, 2010. [13]. V. Khadkikar and A. Chandra, “A novel structure for three-phase fourwire distribution system utilizing Unified Power Quality Conditioner (UPQC),” IEEE Trans. Ind. Appl., vol. 45, no. 5, pp. 1897–1902, Sep./Oct. 2009. [14]. S. Bhattacharya, T. M. Frank, D. M. Divan, B. Banerjee, Active filter system implementation, IEEE Industrial Application Magazine, pp. 47-63, September/October 1998. [15]. S. Bhattacharya, D. Divan, Synchronous frame based controller implementation for a hybrid series active filter system, Industry Applications Conference, pp. 2531-2540, 1995. [16]. G. D. Marques, V. F. Pires, M. Malinowski, M. Kazmierkowski, An Improved Synchronous Reference Frame Method for Active Filters, EUROCON 2007, the International Conference on Computer as a Tool, pp. 2564-2569, September 2007. [17]. S. Bhattacharya, D. M. Divan, B. Banerjee, "Synchronous Reference Frame Harmonic Isolator Using Series Active Filter,“ Proc. 4th EPE, Florence, 1991, vol. 3, pp. 030-035.
Jholapura.Deepali.R, Jhala.M.B, S. K. Parmar "Analysis of Unified Power Quality Conditioner" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.56-61 2016
MANET is sovereign and decentralized wireless systems. Mobile nodes in a MANETs are free in moving in and out in the network. Due to their self configuration ability these nodes have property to configure themselves.MANETs are not working properly against many types of attack, and black hole attack is one of them. Malicious node shows itself having a valid route to the destination in a black hole attack. An attacker can generate fake information by modifying the packet and, this cause the network traffic diverted or dropped. The performance of MANET’s under black hole attack using AODV and OLSR as a routing protocol with Http traffic load will be examined in this research. The performance analysis of AODV and OLSR reactive protocol is evaluated with respect to throughput, end-to-end delay and Packet delivery ratio using OPNET modeler.
- Page(s): 62-65
- Date of Publication: 15 March 2016
- Prashant Kumar VarmaMangalayatan University, Aligarh, India
- Rajesh UpadhyayMangalayatan University, Aligarh, India
- Gulshan KataraMangalayatan University, Aligarh, India
References
[1]. Abolhasan, M. et al. (2003) “A Review of Routing Protocols for Mobile Ad Hoc Networks”, Telecommunication and Information Research Institute University of Wollongong, Australia, June, 2003. [2]. Barushimana, C.M., Shahrabi, A. (2003) “Comparative Study of Reactive and Proactive Routing Protocols Performance in Mobile Ad Hoc Networks”, Workshop on Advance Information Networking and Application, Vol. 2, pp. 679-684, May, 2003. [3]. Biswas, K. and Ali, M.L. (2007) “Security threats in Mobile Ad Hoc Network”, Master Thesis, Blekinge Institute of Technolog Sweden, 22nd March 2007 [4]. http://www.olsr.org/docs/report_html/node28.html, “Multi point Relaying”. [5]. Murthy, C. andManoj, B. (2005) “Ad hoc Wireless Networks: Architectures and Protocols”, Prentic Hall PTR , 2005 [6]. Perkins, C.E. and Royer, E.M. (1999) “Ad Hoc On Demand Distance Vector Routing”, Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applictions, pp.90-100, Feb, 1999 [7]. ShoaibRehmaan, I.U. (2010) “Analysis of Black hole Attack on MANET using different MANET routing protocols”, Thesis no: MEE-2010-2698 June, 2010. [8]. Trang, N. V. and Xing, X. (2005) “Rate-adaptive Multicast in Mobile Adhoc
Prashant Kumar Varma, Rajesh Upadhyay, Gulshan Katara "Performance Analysis of Black Hole Attack in MANET NETWORK" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.62-65 2016
Theory of matrices is an integral part of algebra as well as Theory of equations. Matrices plays an important role in every branch of Physics, Computer Graphics and are also used in representing the real world’s data and there are so many applications of matrices ,for this reason we thought of studying bicomplex matrices. The monograph by Price [4] contains few exercises pertaining to matrices with bicomplex entries. In this paper we discussed the bicomplex version of CAYLEY – HAMILTON THEOREM and also used it to evaluate the inverse of a non singular bicomplex matrix.
- Page(s): 66-70
- Date of Publication: 15 March 2016
- Dhruva Dixit(DD) Department of Mathematics Institute of Basic Science, Khandari, Dr. B.R Ambedkar University, Agra, U.P, India
References
[1]. Anjali “Certain Results on bicomplex matrices.”M.Phil,Desertation Dr. B.R. Ambedkar University, Agra (2011) [2]. Kumar, Prabhat “ Certain study of bicomplex matrices and a new composition of bicomplex matrices.”M.Phil, Desertation Dr. B.R. Ambedkar University (2011-12) [3]. Price, G.B. “An introduction to multicomplex spaces & functions.”Marcel Dekker Inc., New York (1991).
Dhruva Dixit "Bicomplex Version of Cayley Hamilton Theorem" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.66-70 2016
Today’s submicron VLSI technology has been emerged as integration of many VLSI ICs into a single Si Chip called System-on-Chip (SoC). The SoC architecture normally contains multiple processors along with either separate or centralized memory blocks as its core elements as well as many noncore elements. Embedded RAMs are those whose address, data, and read/write controls cannot be directly controlled or observed through the chip’s 1/0 pins. Testing these memories, which are incorporated on a large percentage of VLSI devices are harder just because of the lack of controllability of its inputs and observe ability of its outputs. Testing such RAMs is the main objective of this paper. It is challenging to test embedded RAMs, and hence we will discuss techniques - design for testability (DFT) and built-in self test (BIST), which help in improving the testability of these RAMs.
- Page(s): 71-74
- Date of Publication: 15 March 2016
- Nisha O. S.IT Department Lourdes Matha College of Science and Technology, Trivandrum, India
- Dr. K. Siva SankarIT Department Nooral Islam University, Nagercoil, India
References
[1]. Kiran Gupta and T R.Gopalakrishnan.Nair , “A Study of VLSI Technology, Wafers and Impact on Nanotechnology”, IEEE National Conference on Advanced VLSI/DSP, Bangalore, 2008. [2]. David Choi, Kyu Choi, and John D. Villasenor, “New Non-Volatile Memory Structures for FPGA Architectures”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 16, No. 7, July 2008. [3]. Technical report on “Non-Volatile Memory: Emerging Technologies And their Impacts on Memory Systems “Porto Alegre, Sep 2010. [4]. Venkatapathi Naidu Rayapati, “VLSI semiconductor random access memory functional testing”, Microelectronics Reliability, Vol.30, No 5, pp: 877–889, 1990. [5]. R. Dekker, F. Beenker, A. Thijssen, “Fault modeling and test algorithm development for static random access memories,” International Test Conference 1988. [6]. D. Niggemeyer, M. Redeker, J. Otterstedt, “Integration of nonclassical faults in standard march tests,” International Test Conference 1998, pp. 91-6. [7]. S. Hamdioui, A. J. van de Goor, and M. Rodgers, “March SS: A test for all static simple RAM faults,” in Proc. IEEE Workshop MTDT, Jul. 2002, pp. 95–100. [8]. L. Dilillo, P. Girard, S. Pravossoudovitch, and A. Virazel, “Dynamic read destructive fault in embedded-SRAMs: Analysis and March test solution,” in Proc. IEEE Eur. Test Symp., May 2004, pp. 140–145. [9]. Luca Benini, Member, Alessandro Bogliolo, and Giovanni De Micheli, “A Survey of Design Techniques for System-Level Dynamic Power Management,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 8, No. 3, June 2000. [10]. E. J. Marinissen, B. Prince, D. Keitel-Schulz, Y. Zorian, “Challenges in Embedded Memory Design and Test”, Proc. of Design, Automation and Test in Europe, 2005, pp. 722 – 727. [11]. NurQ.Noor, YusrinaYusof, and AzilahSparon, “Low Area FSM-Based Memory BIST for Synchronous SRAM”, proceeding of the international colloquium of Signal Processing and Its application, 2009, pp. 409-412. [12]. K. Murali Krishna and M. Sailaja, “Low Power Memory Built in Self Test Address Generator Using Clock Controlled Linear Feedback Shift Registers”, Journal of Electronic Testing, Theory and Applications (JETTA), Vol.30, No.1, pp: 77-85, Feb.2014. [13]. Balwinder Singh, Arun Khosla and Sukhleen Bindra Narang, “Area Overhead and Power Analysis of March Algorithms for Memory BIST”, International Conference on Communication Technology and System Design, pp: 930 – 936, 2012. [14]. Che-Wei Chou ,Chih-Sheng Hou and Jin-Fu Li “Built-in self-diagnosis and test time reduction techniques for NAND flash memories” International Symposium on VLSI Design, Automation and Test (VLSI-DAT),April 2011. [15]. Jen-Chieh Yeh, Kuo-Liang Cheng, Cheng-Wen Wu and Yung-Fa Chou, “Flash Memory Testing and Built-In Self-Diagnosis with March-Like Test Algorithms”, IEEE Transactions on Computer-Aided Design Of Integrated Circuits and Systems, Vol. 26, No. 6, pp: 1101-1113, JUNE 2007. [16]. Masnita, Wan Zuha W.H, R.M. Sidek and A. Halin, “The data and read/write controller for March-based SRAM diagnostic algorithm MBIST”, proceedings of 2009 IEEE conference on Research and Development, Nov.2009. [17]. Manikandan.B and Praveen kumar.J, “A VLSI Implementation of High Speed FSM-based programmable Memory BIST Controller”, Journal of Electronics and Communication Engineering Research, Vol.1, No.2, pp: 01-06, 2013. [18]. K.Padma Priya, “High Speed FSM-based programmable Memory Built-In Self-Test (MBIST) Controller”, International Journal of Computer Science and Mobile Computing, Vol. 2, No. 2, pp:.46-52, February 2013. [19]. M. Jahnavi, P. S. Indrani, M. J. C. Prasad, “Implementation of Concurrent Online MBIST for RFID Memories using March SS Algorithm”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol.3, No.6, November 2013.
Nisha O. S., Dr. K. Siva Sankar "Architecture for an Efficient Memory Built in Self Test" International Journal of Research and Scientific Innovation-IJRSI vol.3 issue 3, pp.71-74 2016