SCADA (supervisory control and data acquisition) is a type of industrial control system (ICS). Industrial control systems are computer controlled systems that monitor and control industrial processes that exist in the physical world.
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- Date of Publication: April 2013
- Amanda CicilatoNorthern Melbourne Institute of TAFE Waterdale Rd, Heidelberg, Australia
1. Basic SCADA Animations 2. Introduction to Industrial Control Networks". IEEE Communications Surveys and Tutorials. 2012. 3. Bergan, Christian (August 2011). "Demystifying Satellite for the Smart Grid: Four Common Misconceptions". Electric Light & Power. Utility Automation & Engineering T&D (Tulsa, OK: PennWell) 16 (8). Four. Retrieved 2 May 2012. 4. S (October 2004). "Supervisory Control and Data Acquisition (SCADA) Systems". NATIONAL COMMUNICATIONS SYSTEM. 5. Scadahoneynet.sourceforge.net/plc 6. Whatis.techtarget.com/definition/Bluetooth-20EDR 7. Wikipedia.org/wiki/scada
Amanda Cicilato "SCADA (Supervisory Control and Data Acquisition)" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.01-03 2013
Bluetooth 2.0+EDR and Bluetooth 2.1+EDR are specifications for short-range wireless data exchange. Both Version 2.0 and 2.1 support EDR (Enhanced Data Rate), a faster PSK modulation scheme capable of transmitting data 2 or 3 times faster than previous versions of Bluetooth.
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- Date of Publication: April 2013
- Denial SmithVictoria University Melbourne, Australia
1. Bluetooth Range, Bluetooth Marketing 2. Bluetooth traveler". hoovers.com. Retrieved 9 April 2010. 3. Newton, Harold. (2007). Newton’s telecom dictionary.New York: Flatiron Publishing. 4. Bluetooth.org. Retrieved 2011-05-03. 5. Mark Forsyth. The etymologicon. // Icon Books Ltd. London N79DP, 2011. p. 139. 6. Monson, Heidi (14 December 1999). "Bluetooth Technology and Implications". SysOpt.com. Retrieved 2009-02-17. 7. "About the Bluetooth SIG". Bluetooth SIG. Retrieved 2008-02-01.
Denial Smith "Bluetooth 2.0+EDR" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.04-06 2013
Long Term Evolution (LTE) is one of the emerging technologies toward next generation mobile wireless networks. For LTE physical layer development, electronic system level (ESL) tools are widely used to assist design and verification processes. Among various modeling technologies underlying ESL tools, synchronous dataflow (SDF) and its related models of computation have been successfully used to model and simulate many wireless standards. However, LTE physical layer involves dynamically varying data processing rates that make SDF insufficient due to its constant-rate constraint. In this paper, we use a novel approach, called Mixed-mode Vector-based Dataflow (MVDF), to efficiently model and simulate LTE physical layer by exploring the matched-rate nature of LTE and by combining static and dynamic dataflow technologies. We have calculated the throughput of LTE physical layer in an ESL tool, called SystemVue, along with a complete LTE physical layer library. With the implementation, we are able to create LTE reference designs for performance measurements. Our simulation results successfully match the standard requirements.
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- Date of Publication: April 2013
- Dolesh Bhardwaj Department of Electronic and Communication Engineering, PG student, Thapar University, Patiala, India
- H.K.S. Randhawa Department of Electronic and Communication Engineering, Thapar University, Patiala, India
 3GPP. LTE. https://www.3gpp.org/article/lte.  Agilent EEsof. SystemVue. https://www.agilent.com/find/eesof-systemvue.  B. Bhattacharya and S. S. Bhattacharyya. Parameterized dataflow modeling for DSP systems. IEEE Transactions on Signal Processing, 49(10):2408–2421, October 2001.  S. S. Bhattacharyya, P. K. Murthy, and E. A. Lee. Software Synthesis from Dataflow Graphs. Kluwer Academic Publishers, 1996.  G. Bilsen, M. Engels, R. Lauwereins, and J. A. Peperstraete. Cyclo-static dataflow. IEEE Transactions on Signal Processing, 44(2):397–408, February 1996.  J. T. Buck. Scheduling dynamic dataflow graphs with bounded memory using the token flow model. Ph.D. Thesis UCB/ERL 93/69, Dept. of EECS, U. C. Berkeley, 1993.  C. Hsu. Dataflow Integration and Simulation Techniques for DSP System Design Tools. PhD thesis, Department of Electrical and Computer Engineering, University of Maryland, College Park, April 2007.  C. Hsu, J. L. Pino, and S. S. Bhattacharyya. Multithreaded simulation for synchronous dataflow graphs. In Proceedings of the Design Automation Conference, Anaheim, CA, 2008.  C. Hsu, S. Ramasubbu, M. Ko, J. L. Pino, and S. S. Bhattacharyya. Efficient simulation of critical synchronous dataflow graphs. In Proceedings of the Design Automation Conference, pages 893–898, San Francisco, CA, July 2006.  D. Ko and S. S. Bhattacharyya. Modeling of block-based DSP systems. Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, 40(3):289–299, July 2005.  E. A. Lee and D. G. Messerschmitt. Synchronous dataflow. Proceedings of the IEEE, 75(9):1235–1245, September 1987.  J. L. Pino and K. Kalbasi. Cosimulating synchronous DSP applications with analog RF circuits. In Proceedings of the IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 1998.  3GPP TS 36.101 V8.6.0. User Equipment (UE) Radio Transmission and Reception, June 2009.  3GPP TS 36.211 V8.6.0. Physical Channels and Modulation, March 2009.  3GPP TS 36.212 V8.6.0. Multiplexing and Channel Coding, March 2009.  3GPP TS 36.213 V8.6.0. Physical Layer Procedures, March 2009.  N. Sane W. Plishker and S. S. Bhattacharyya. Mode grouping for more effective generalized scheduling of dynamic dataflow applications. In Proceedings of the Design Automation Conference, San Francisco, CA, July 2009.  G. Zhou. Dynamic dataflow modeling in ptolemy II. Master’s thesis, U.C. Berkeley, December 2004.
Dolesh Bhardwaj, H.K.S. Randhawa "System Integration for LTE Wireless Design " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.07-13 2013
In this work we present a Wilkinson power divider operating over an ultra wide frequency band (3.1GHz to 10.6GHz). The proposed power divider consists of two branches of impedance transformer, each consists of two sections of transmission lines with different characteristic impedances and different lengths. Two resistors of 100 ohm are set between the two sections and there are two stubs. The simulated and measured results of the proposed divider shows good insertion loss that is less than 0.4 dB, the role of skirts near both the cut off frequencies have been significantly sharpened, return loss of input port (S11) and out ports (S22,S33) are less than 12 dB and isolation is better than 11 dB for over UWB frequency range.
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- Date of Publication: April 2013
- Nirmal ChhajerSobhasaria Group of Institutions, Sikar (Rajasthan),India
- Reena Kumari JainSobhasaria Group of Institutions, Sikar (Rajasthan),India
- Prof. S.C. MahajanSobhasaria Group of Institutions, Sikar (Rajasthan),India
- Hitesh Kumar BajajSobhasaria Group of Institutions, Sikar (Rajasthan),India
References L.Zhu, S. Sun, and W. Menzel, “Ultra-wideband (UWB) bandpass filters using multiple-mode resonator,” IEEE Microw. Wireless Compon. Lett., vol. 15, no. 11, pp. 796–798, Nov. 2005.  L. Wu, H. Yilmaz, T. Bitzer, A. Pascht, and M. Berroth, “A dualfrequency Wilkinson power divider: For a frequency and its first harmonic,”IEEE Microw. Wireless Compon. Lett., vol. 5, no. 2, pp. 107–109, Feb.2005.  D. Pozar, Microwave Engineering, 3rd ed. NewYork: Wiley, 2005  A. M. Abbosh, “A compact UWB three-way power divider,” IEEE Microwave Wireless Compon. Lett., vol. 17, no. 8, pp. 598–600, Aug. 2007.  L. Chiu, T. Y. Yum, Q. Xue, and C. H. Chan, “A wideband compact parallel-strip 180 Wilkinson power divider for push-pull circuitries,” IEEE Microw. Wireless Compon. Lett., vol. 16, no. 1, pp.49–51, Jan. 2006.  M. Chongcheawchamnan, S. Patisang, M. Krairiksh,I.D.Robertson, “Tri-Band wilkinson power divider using a three-section transmissionline transformer,” IEEE Microw. Wireless Compon. Lett., vol. 16 no. 8, pp. 452–454, Aug.2006  H. Shaman and J.-S. Hong, “A novel ultra- wideband (UWB) bandpass filter (BPF) with pairs of transmission zeroes,” IEEE Microw. Wireless Compon. Lett., vol. 17, no. 2, pp. 121–123, Feb.2007.
Nirmal Chhajer, Reena Kumari Jain, Prof. S.C.Mahajan, Hitesh Kumar Bajaj "Design of a Compact UWB Wilkinson Power Divider with open stubs" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.14-16 2013
Reliability is always a concern for Power Systems. Reliability is a compromise between security and dependability. Security is the ability to properly restrain from tripping when not called for. Dependability is the ability to trip when required. While security is not improved by increased redundancy, dependability is. Clearly, the impact on the power system when a power transmission circuit and protective devices are not functioning when required is much less severe when there is a redundant transmission circuit & protective devices that takes over the job. If the two redundant transmission circuit and protective devices are of equal performance, there should be no detrimental effect at all on power system operations, and a non-functioning device would just need to be repaired or replaced. The Power industry applies a “no single point of failure” criteria for Power system networks. Reliability is commonly achieved by configuring the Power Transmission lines various circuits and protective devices placement schemes. For Power system networks and component devices, the preferred method of meeting reliability requirements has been to use physically separate, redundant transmission circuits and protective devices. Hence, this paper is examining redundancy requirements for Power system transmission circuits and protective devices configuration in System and presents a new approach for evaluating the reliability of system.
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- Date of Publication: April 2013
- Raman DepDepartment of Electrical & Electronics Engineering Punjab Technical University, Punjab, India
- Pushpendra Foujdar Department of Electrical & Electronics Engineering Punjab Technical University, Punjab, India
•  Dr. R. C. Bansal; Dr. Ahmed F. Zobaa and Dr. R. K. Saket (2005), “Some issues related topower generation using wind energy conversion system: An Overview”, InternationalJournal of Emerging Electric Power System [I.J.E.E.P.S.], vol. 3, Issue 2, pp: 01-19, Year:2005, Article 1070, Produced by the Berkeley Electronic Press, 2809 Telegraph Avenue, Suite202, Berkeley, CANADA 94705, U.S.A., Web Site: https://www.bepress.com •  Dr. R. K. Saket; Dr. R. C. Bansal and Prof. (Col.) Gurmit Singh (2006), “GenerationCapacity Adequacy Evaluation based on Peak Load Considerations”, The South PacificInternational Journal on Natural Sciences, University of the South Pacific, Suva, Fiji Island,Vol.24, Year: 2006, pp: 38-44, Web Site https://www.fst.usp.ac.fj, https://www.fst.usp.ac.fj•  Dr. R. K. Saket; Dr. R. C. Bansal and K. S. Anand Kumar (2007), “Reliability Evaluation ofMicro Hydro Photo Voltaic Hybrid Power Generation System Based on municipal wastewater”, GMSARN International Journal on sustainable Development: Issues and prospectsfor the Greater Mekong Sub-region, Klong Luang, Pathumthani, Thailand, First issue of theBiannual journal, June 2007, vol.1, No:1, pp:13-20, Web Site: https://www.gmsarn.org •  R. K. Saket; R. C. Bansal and Col. Gurmit Singh (2007), “Reliability Evaluation of PowerSystem considering voltage stability and continuation power flow”, Journal of ElectricalSystems [J.E.S.], Engineering and Scientific Research Groups, France; Issue 3, No: 2, June2007, pp: 48-60, Web Site: https://www.joes.org.uk, https://journal.esrgroup.org/jes •  R. K. Saket and Anil Kumar (2008), “Reliability of convective diffusion process in Stenosisblood vessels”, Chemical Product and Process Modeling [C.P.P.M.], Vol. 3, Issue 1, pp: 01-23, Article 25, Year: 2008, Produced by the Berkeley Electronic Press, 2809 TelegraphAvenue, Suite 202, Berkeley, CANADA, 94705, (United States of America), Web Site:https://www.bepress.com/cppm/vol3/iss1/25 •  R. K. Saket; Wg. Cdr. S. P. Kaushik and Col. Gurmit Singh (2008), “Probabilistic Approach for Biorhythmic Analysis to Prevent Aviation Accidents,” International Journal of Intelligent Defence Support Systems [I.J.I.D.S.S.], Inderscience Publishers (U. K.), Volume: 01; No: 04;pp: 271-289; Year: 2008. Web Site: https://www.indercsience.com/ijidss •  R. K. Saket; R. C. Bansal and Col. Gurmit Singh (2009), “Power Systems ComponentModelling and Reliability Evaluation of Generation Capacity”, International Journal ofReliability and Safety [I.J.R.S.], Inderscience Publishers (United Kingdom), Volume: 03; No:04; pp: 427-441; Year: 2009. Web Site: https://www.indercsience.com/ijrs •  K. B. Singh; R. K. Saket; and S. Chatterji (2010), “The Effect of Derating on ComponentSelection and Product Design”, International Journal of Reliability and Safety [I.J.R.S.],Inderscience Publishers (United Kingdom), Volume: 04; No: 01; pp: 89-103; Year: 2010. WebSite: https://www.indercsience.com/ijrs•  Anil Kumar; R. K. Saket; C. L. Varshney and S. L. Maurya (2010), “Finite differencetechnique for reliable MHD steady flow through channels permeable boundaries”, InternationalJournal of Biomedical Engineering and Technology [I.J.B.E.T.], Inderscience Publishers (U.K.), Vol.04; No.02; pp: 101 - 110; Year: 2010. Web Site: https://www.inderscience.com/ijbet  A. K. Bhardwaj, R. C. Bansal, R. K. Saket and A. K. Srivastava (2010), “Electric PowerDemand Forecasting of KAVAL cities,” International Journal of Electrical and PowerEngineering, DOI: 10.3923/ijepe.2010.85.89, Volume: 4, Issue: 2, pp: 85 – 89, year:2010. Web Site: https://www.medwelljournals.com/ijepe
Raman Dep, Pushpendra Foujdar "A Novel Approach for Reliability Analysis of Power System Configurations" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.17-25 2013
In this paper we have designed a LPF that is using DGS .In this project a compact microstrip low pass filter is designed using a defected ground structure (DGS) with compensated microstrip. The equivalent circuit for the DGS and its corresponding L-C parameters are extracted by using its S parameters response (EM simulation) and a simple circuit analysis method. The low pass filter is realized and optimized using cascaded DGS to provide a portable size, excellent sharpness in transition with low insertion loss in pass band and wide rejection in the stopband. The proposed periodic defected ground structure (DGS) provides the excellent cutoff and stopband characteristics. In order to show the improved the effective inductance, three DGS circuits were fabricated with identical periodic and different dimensions. Observed results show good agreement with the theoretical results. The results are validated by using CST.
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- Date of Publication: April 2013
- Meenu BhatiResearch Scholar, JNU, Jaipur, Rajasthan, India
- Prof. Rajeshwar Lal DuaHOD, JNU, Jaipur, Rajasthan, India
 Wang Huina, Li Guohui, Yan Jun “ Compact Design Of a Sharp-Rejection Low-Pass Filter Using a Novel Defected Ground Structure” School of Communication and Information Engineering, Shanghai University, Shanghai.  Mrinal Kanti Mandal, Student Member, IEEE, Priyanka Mondal, Student Member, IEEE, Subrata Sanyal, Member, IEEE, and Ajay Chakrabarty, Senior Member, IEEE “Low Insertion-Loss, Sharp-Rejection and Compact Microstrip Low-Pass Filters” IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, VOL. 16, NO. 11, NOVEMBER 2006.  L. H. Weng, Y. C. Guo, X. W. Shi, and X. Q. Chen “AN OVERVIEW ON DEFECTED GROUND STRUCTURE” Progress In Electromagnetics Research B, Vol. 7, 173–189, 2008.  Dal Ahn, , Jun-Seok Park, Chul-Soo Kim, Juno Kim, Yongxi Qian, and Tatsuo Itoh, “A Design of the Low-Pass Filter Using the Novel Microstrip Defected Ground Structure” IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, VOL. 49, NO. 1, JANUARY 2001.  Mohsen Hayati and Akram Sheikhi “Microstrip Lowpass Filter with Very Sharp Transition Band and Wide Stopband” ETRI Journal, Volume 33, Number 6, December 2011.  S. Kumar Parui, S. Das “A New Defected Ground Structure For Different Microstrip Circuit Applications” Radioengineering, Vol. 16, No. 1, April 2007.  Mrinal Kanti Mandal, Priyanka Mondal, Student Member, IEEE, Subrata Sanyal, Member, IEEE, and Ajay Chakrabarty, Senior Member, IEEE “Low Insertion-Loss, Sharp-Rejection and Compact Microstrip Low-Pass Filters” IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, VOL. 16, NO. 11, NOVEMBER 2006.  Ahmed Boutejdar, Adel Elsherbini and A. S. Omar, “A Compact Microstrip Multi-Layer Lowpass Filter Using Triangle Slots Etched in the Ground Plane,” in Proc. 36th Eur. Microw. Conf., (EuMC), Manchester, UK, September 2006.  A. Boutejdar, A.Ramadan, M. Makkey and A. S. Omar, “Design of Compact Microstrip Lowpass filter Based on Novel U-Resonator Using Defected Ground Structure and Compensated Microstrip Line,” in Proc. 36th Eur. Microw. Conf., (EuMC), Manchester, Manchester, UK, September 2006, pp. 267-270,  J. I. Park and C. S. Kim, “Modeling of a photonic band gap and its application for the low-pass filter design”, 'Asia-Pacific Microwave Conf., Singapore, 1999,331-334.  Guo-Hui Li, Xin-Hua Jiang, and Xiao-Ming Zhong, “A novel defected ground structure and its application to a lowpass filter”, Microwave and optical technology letters, 2006, 48:1760-1763.  A. Rahman, A. Boutejdar, A. K. Verma, et al, “Improved circuit model for DGS based low pass filter”,IEEE APS, 2004, 998-1001.  S. G. Jeong, D. K. Hwang, YC. Jeong, et al., “Amplifier design using high impedance bias line with defected ground structure”, IEEE MTT-S, 2002, 1161-1164.  J. S. Lim, S. W. Lee, C. S. Kim, et al., “A 4:1 unequalWilkinson power divider”, IEEE Microwave Wireless Compon letter 2001,124-126.
Meenu Bhati ,Prof. Rajeshwar Lal Dua "Performance of Defected Ground Structure Based LPF" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.26-30 2013
In this paper we will discuss about Cloud Computing a Internet Based Computing. Services can be accessed from anywhere in the world by multiple devices. The cloud model leads to basically two different kinds of clouds: private and public. The public clouds are those that offer IT services to any customer over the Internet. Private clouds offer IT services to a predefined group of customers, with access through Internet or private networks. You might have also heard about internal and external clouds. The former are a subgroup of the private clouds, and provide services within the same company or corporate group. The latter may be public or private and provide services to other companies.
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- Date of Publication: April 2013
- Vivek UpnejaM.Tech* JNIT, Jaipur Rajasthan [INDIA]
- Suresh KambojM.Tech* JNIT, Jaipur Rajasthan [INDIA]
- Prashant ManujaM.Tech* Central University of Rajasthan, Ajmer Rajasthan [INDIA]
 "The NIST Definition of Cloud Computing". National Institute of Standards and Technology. Retrieved 24 July 2011.  "Is a Private Cloud Really More Secure?". Dell.com. Retrieved 07-11-12  Networkworld.com/news/tech/2010/070210  Foley, John. "Private Clouds Take Shape". InformationWeek. Retrieved 2010-08-22..  Haff, Gordon (2009-01-27). "Just don't call them private clouds". CNET News. Retrieved 2010-08-22.  Building GrepTheWeb in the Cloud, Part 1: CloudArchitectures". Developer.amazonwebservices.com. Retrieved 2010-08-22.  Bernstein, David; Ludvigson, Erik; Sankar, Krishna; Diamond, Steve; Morrow, Monique (2009-05-24). "Blueprint for the Intercloud - Protocols and Formats for Cloud Computing Interoperability". Blueprint for the Intercloud – Protocols and Formats for Cloud Computing Interoperability. IEEE Computer Society. pp. 328–336.  Wikipedia ".  "Intercloud is a global cloud of clouds". Samj.net. 2009-06-22. Retrieved 2010-08-22.  SP360: Service Provider: From India to Intercloud". Blogs.cisco.com. Retrieved 2010-08-22.  Rouse, Margaret. "Definition: Cloudbursting," May 2011. SearchCloudComputing.com  Kevin Kelly: A Cloudbook for the Cloud". Kk.org. Retrieved 2010-08-22
Vivek Upneja, Suresh Kamboj, Prashant Manuja "Cloud Computing a Internet Based Computing" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.31-33 2013
There is increasing demand for the use of alternate or renewable energy sources to achieve clean and low-cost electricity. The potential for non-thermal onsite power generation also remains enormous in India with increasing investment in small-scale solar and wind power. Design & integration of renewable energy hybrid system also involves the process of selecting the best components and its sizing to provide cheap, efficient, reliable and cost effective renewable energy. Grid power availability is very poor and use of Diesel generator is very expensive due to its fuel and transportation cost as well as maintenance. This paper gives the design idea of optimized pv- solar and wind hybrid different applications. This paper presents a detailed reviews process adopted to study a scientific research papers. It explains five stage process followed for the review of 3 selected papers in the area of renewable energy system replacing Systems with Conventional Energy sources.
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- Date of Publication: April 2013
- Bhawani SinghM. Tech -IAC, Poornima University, Jaipur, India
- Dolly SharmaPoornima University, Jaipur, India
- Ravi Kumar RanaM.Tech -IAC, Poornima University, Jaipur, India
1. “Strategic Approach of Hybrid Solar-Wind Power for Remote Telecommunication Sites in INDIA” publised at International Journal of Scientific & Engineering Research, Volume 3, Issue 6, June-2012 1 ISSN 2229-5518 by Sthitaprajna Rath, S.M Ali, Md. Nadeem Iqbal. 2. Ashok S. Optimized model for community based –Hybrid Energy systems. Renewable Energy 2007, 32(7), 1155-1164. 3. “An Intelligent Solar Powered Street Light” publised at International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012 by K.V. Santhosh and J.S. Rajshekar. 4. https://www.jains.com/irrigation/drip%20irrigation%20system.html 5. “Integrated water and nutrient management of young mango crop in tarai region of Uttaranchal” by K.K.Singh, P.K.Singh, Pankaj Kr Pandey and K.N.Shukla Precision Farming Development Centre, G.B.Pant University of Agriculture & Technology, Pantnagar-263145, Uttaranchal India, and 3rd Asian Regional Conference. 6. "An Assessment of Solar Energy Conversion Technologies and Research Opportunities" Stanford University – Global Climate Change & Energy Project. July 2008. 7. "Energy Sources: Solar". Department of Energy. April 2011. 8. Solar Cells and their Applications Second Edition, Lewis Fraas, Larry Partain, Wiley, 2010, ISBN 978-0-470-44633-1. 9. "The Solar Energy Book-Once More." Mother Earth News 31:16–17, Jan. 1975 10. J. Lee, "On methods for improving performance of Pl-type fuzzy logic controllers," IEEE Transactions on Fuzzy Systems, vol. 1, 1993. 11. H. Li and H. Gatland, "Conventional fuzzy control and its enhancement," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 26, pp. 791-797, 1996. 12. L. Reznik, O. Ghanayem, and A. Bourmistrov, "PID plus fuzzy controller structures as a design base for industrial applications, "Engineering Applications of Artificial Intelligence, vol. 13, pp. 419- 430, 2000. 13. Q. Yang, G. Li, and X. Kang, "Application of fuzzy PID control in the heating system," 2008, pp. 2686-2690.
Bhawani Singh, Dolly Sharma, Ravi Kumar Rana "A Brief Review In Solar and Wind Power Applications" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.34-37 2013
Nanorobotics is the technology of creating machines or robots at or close to the microscopic scale of a nanometer (10−9 meters). More specifically, nanorobotics refers to the still largely hypothetical nanotechnology engineering discipline of designing and building nanorobots, devices ranging in size from 0.1-10 micrometers and constructed of nanoscale or molecular components. As no artificial non-biological nanorobots have yet been created, they remain a hypothetical concept. The names nanobots, nanoids, nanites or nanomites also have been used to describe these hypothetical devices.
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- Date of Publication: April 2013
- Dr. Gaurav Kumar JainDeepshikha Group of Colleges, Rajasthan, India
- Mr. Sandeep JoshiDeepshikha Group of Colleges, Rajasthan, India
- Mr. Ravi RanjanDeepshikha Group of Colleges, Rajasthan, India
REFERENCES 1. https://en.wikipedia.org/wiki/Robotic_arm 2. https://www.robots.com/education 3. www.electronicsteacher.com/robotic 4. https://science.howstuffworks.com/robot.html
Dr. Gaurav Kumar Jain, Mr. Sandeep Joshi "Uses of Nanorobotics Technology" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.38-42 2013
INTRODUCTION The Shekhawati region is spread over the Jhunjhunu and Sikar districts of Rajasthan state and surrounded by Haryana towards the East and the districts of Jaipur, Nagaur and Churu on other sides. The soil of Shekhawati largely comprises of desert sands and gravel in hilly areas. The region is traversed by a single rainy season and characterised by high velocity winds in summers. Rajasthan includes 12.44% of tribal population of the total population .The major tribes are Bhils, Garasia, Saharia, Meena, Damor, Patelia, kanjar, gadolia luhar etc. These tribes still prefer traditional medicines for their household remedies. This region of Rajasthan is very rich in ethnomedicinal plants. Studies to identify and explore the possibilities of exploitation of wild desert plants of ethnomedicinal importance have revealed that there are several herbal species which have great potential to be used in drugs and pharmaceutical industries. Ethnomedicinal plants of this region are good source of nutritionally and phytochemically important compounds.
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- Date of Publication: April 2013
- B.B.S. KapoorHerbal Research Laboratory, Dunger College, Bikaner, Rajasthan, India
- Kamal Kishor Ph.D Scholar J.J.T. University Jhunjhunu, Rajasthan, India
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B.B.S. Kapoor, Kamal Kishor "Phytochemical Studies on Some Ethnomedicinal Plants of Shekhawati Region of Rajasthan" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.43-55 2013
K-means and Incremental K-means are two very important and popular clustering techniques for today’s large databases (Data warehouses, WWW and so on). The performance of the K-means and incremental K-means are different with each other based on their time analysis characteristics. Both algorithms are efficient compare to their existing algorithms with respect to time, cost and effort. In this paper, the performance evaluation of K-means clustering algorithm is implemented and most importantly it is compared with the performance of incremental K-means clustering algorithm and it also explains the characteristics of these two algorithms. This paper also explains some logical differences between these two most popular clustering algorithms. This paper uses a medicine database on which the experiment is performed.
- Page(s): 56-61
- Date of Publication: April 2013
- Sudhir SinghDeptt of Computer Science & Applications M.D. University, Rohtak, Haryana, India
- Nasib Singh GillDeptt of Computer Science & Applications M.D. University, Rohtak, Haryana, India
 Han J. Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann Publisher 2001.  Chakraborty and Nagwani, S. and N.K.,2011, Analysis and Study of Incremental K-Means Clustering Algorithm, accepted by International conference on high performance architecture and grid computing (HPAGC).  Dunham, M.H., 2003:Data Mining: Introductory And Advanced Topics, New Jersey: Prentice Hall,450.  Data Mining, A Tutorial Based Primer, Richard J. Roiger and Michael W. Geatz : Pearson.  Performance Evaluation of Incremental K-means Clustering Algorithm, IFRSA International Journal of Data Warehousing & Mining |Vol1|issue 1|Aug 2011  M H Dunham, “Data Mining: Introductory and Advanced Topics,” Prentice Hall, 2002.  R C Dubes, A K Jain, “Algorithms for Clustering Data,” Prentice Hall, 1988.  B Zhang, M C Hsu, Umeshwar Dayal, “K- Means-A Data Clustering Algorithm,”.  Sanjay Chakraborty , N.K. Nagwani, IIJDWMJournal homepage: www.ifrsa.org  Bharati M. Ramageri / Indian Journal of Computer Science and Engineering, Vol. 1 No. 4 301-305  Khaled Alsabti,Syracuse University, An efficient K-Means Clustering Algorithm
Sudhir Singh, Nasib Singh Gill "Comparative Study Of Different Data Mining Techniques : A Review" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.2 issue 4, pp.56-61 2013