Archive

Publication for Volume-2 Issue-5, April 2017

Title
:
Detection of Metal in LabVIEW using Vision Assistant
Article Type
:
Other
Author Name(s)
:
T.R.Balaji, Saranathan College of Engineering; S.Puliyuran ,Saranathan College of Engineering; S.Sanjay Karthick ,Saranathan College of Engineering; M.Eazhisai Vallabi ,Saranathan College of Engineering
Country
:
India
Research Area
:
LabVIEW Vision Assistant
Robot is a machine that is specially programmed by a user or computer. Robot is mainly used for carrying things with complex action and it can be guided by external control device. The article states that detecting a small pieces that we are using in daily life. This can be done in NI-Vision Development Module. The metal detection can be carried out in by gesture movement of the user the robot is controlled. The gesture movement is given by using ADXL335 which is programmed with Arduino. The robot is controlled in LabVIEW by interfacing Arduino and LabVIEW through VI Package Manager. By giving instructions via ADXL335 the robot is controlled and by in the travelling path of robot if any small pieces is detected and it is identified.
Keywords : ADXL335, Arduino, Vision Assistant, myRIO.
[1]	National Instruments “NI-myRIO-1900 user guide and specifications”
[2]	National Instruments “NI-myRIO project essentials guide”.
[3]	Love Aggarwal, Varnika Gaur, PuneetVerma, “Design and Implementation of Wireless Gesture Controlled Robotic Arm with Vision”, International Journal of Computer Application, Vol-79, No.-13, PP.-39-43, October 2013.
Title
:
Brain Tumor Recognition from MRI Images using Multiple OTSU Thresholding and Cross Correlation
Article Type
:
Other
Author Name(s)
:
Ankita Kapil, Jabalpur Engineering College, Jabalpur Mp India; Dr. Shailja Shukla ,Jabalpur Engineering College, Jabalpur Mp India
Country
:
India
Research Area
:
Image Segmentation
Medical image processing is the most challenging and emerging field now a day. Processing of MRI images is one of the parts of this field. This paper work describes a good and efficient strategy to detect and extract the brain tumor[4][5] from patient’s brain MRI images. In this method an algorithm is developed, the primary part of this algorithm is to convert given MRI image into binary image (0 and 1) using segmentation technique[6] called multiple Otsu Thresholding[7], after which morphological operations[8] [9]has been applied. The obtained image is matched with the SRI24 database which is a MRI-based atlas of 24 normal adult human brain anatomies. The work is done and comprised by making a graphical user interface (GUI) in MATLAB. The algorithm results in good accuracy and better time for recognition of the brain tumor.
Keywords : Graphical User Interfacing (GUI), Image processing, brain tumor, Image segmentation, Magnetic resonance imaging (MRI)
[1]	Mrs. Sara Sandabad et al, Mohamed V University Rabat, Morocco represented a work title “New tumor detection procedure using Nl-means filter & histogram study” In IEEE international Conference which is been accepted for IEEE Explore digital Library held in 2015.
[2]	Mr. Stefan Bauer et al a Student Member of IEEE, represented a work title “Multi-scale Modeling for Image study of Brain Tumor Studies” in IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING published at VOL. 59, NO. 1 journal published in 2012
[3]	Rajesh C. Patil, Dr. A. S. Bhalchandra, Brain Tumour Extraction from MRI Images Using MATLAB,International Journal of Electronics, Communication & Soft Computing Science and Engineering ISSN: 2277-9477, Volume 2, Issue 11
[4]	Zülch, K. J. "Principles of the new World Health Organization (WHO) classification of brain tumors." Neuroradiology 19.2 (1980): 59-66
[5]	Bushberg, Jerrold T., and John M. Boone. The essential physics of medical imaging. Lippincott Williams & Wilkins, 2011.
[6]	Liang, Zhengrong. "Tissue classification and segmentation of MR images." IEEE Engineering in Medicine and Biology Magazine 12.1 (1993): 81-85.
[7]	KalavathiP,Brain Tissue Segmentation in MR Brain Images using Multiple Otsu's Thresholding Technique,the 8th International Conference on Computer Science & Education (ICCSE 2013), April 26-28, 2013. Colombo, Sri Lanka, SuD1.3,978-1-4673-4463-0/13, 2013 IEEE, pp 639-645
[8]	F. G. B. De Natale and G. Boato, "Detecting Morphological Filtering of Binary Images," in IEEE Transactions on Information Forensics and Security, vol. 12, no.5,pp.1207-1217,May2017.doi: 10.1109/TIFS.2017.2656472.
[9]	N. Jamil, T. M. T. Sembok and Z. A. Bakar, "Noise removal and enhancement of binary images using morphological operations," 2008 International Symposium on Information Technology, Kuala Lumpur, Malaysia, 2008, pp. 1-6.doi: 10.1109/ITSIM.2008.4631954
[10]	Bezdek, James C., L. O. Hall, and L_P Clarke. "Review of MR image segmentation techniques using pattern recognition." Medical physics 20.4 (1993): 1033-1048
[11]	Liang, Zhengrong. "Tissue classification and segmentation of MR images." IEEE Engineering in Medicine and Biology Magazine 12.1 (1993): 81-85.
[12]	Hall, Lawrence O., et al. "A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain." IEEE transactions on neural networks 3.5 (1992): 672-682.
[13]	Natarajan, Prem, et al. "Tumor detection using threshold operation in MRI brain images." Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on. IEEE, 2012
[14]	Zabir, Ishmam, et al. "Automatic brain tumor detection and segmentation from multi-modal MRI images based on region growing and level set evolution." Electrical and Computer Engineering (WIECON-ECE), 2015 IEEE International WIE Conference on. IEEE, 2015
[15]	I. Maiti and M. Chakraborty, "A new method for brain tumor segmentation based on watershed and edge detection algorithms in HSV colour model," 2012 NATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION SYSTEMS, Durgapur, 2012, pp.1-5. doi: 10.1109/NCCCS.2012.6413020
[16]	I. Diaz and P. Boulanger, "Atlas to patient registration with brain tumor based on a mesh-free method," 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 2924-2927.doi: 10.1109/EMBC.2015.7319004
[17]	D. M. Joshi, N. K. Rana and V. M. Misra, "Classification of Brain Cancer using Artificial Neural Network," 2010 2nd International Conference on Electronic Computer Technology, Kuala Lumpur,2010,pp.112-116.doi: 10.1109/ICECTECH.2010.5479975
[18]	V. Kumar, J. Sachdeva, I. Gupta, N. Khandelwal and C. K. Ahuja, "Classification of brain tumors using PCA-ANN," 2011 World Congress on Information and Communication Technologies, Mumbai,2011,pp.1079-1083.doi: 10.1109/WICT.2011.6141398
[19]	Pan Lin, Yong Yang and Chong-XunZheng, "An efficient brain magnetic resonance image segmentation method," Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2004, pp. 2757-2760 vol.5. doi: 10.1109/ICMLC.2004.1378499
[20]	H. S. Abdulbaqi, MohdZubir Mat, A. F. Omar, I. S. B. Mustafa and L. K. Abood, "Detecting brain tumor in Magnetic Resonance Images using Hidden Markov Random Fields and Threshold techniques," 2014 IEEE Student Conference on Research and Development,BatuFerringhi, 2014, pp. 1-5.doi: 10.1109/SCORED.2014.7072963
[21]	T. Rohlfing, N. M. Zahr, E. V. Sullivan, & A. Pfefferbaum, “The SRI24 multichannel atlas of normal adult human brain structure,” Human Brain Mapp., vol. 31, no. 5, pp. 798–819, May 2010.
[22]	Dechevsky L.T., Gundersen J., Grip N. (2010) Wavelet Compression, Data Fitting and Approximation Based on Adaptive Composition of Lorentz-Type Thresholding and Besov-Type Non-threshold Shrinkage. In: Lirkov I., Margenov S., Waśniewski J. (eds) Large-Scale Scientific Computing. LSSC 2009. Lecture Notes in Computer Science, vol 5910. Springer, Berlin, Heidelberg
[23]	Wang, Shu-Lin, et al. "Robust classification method of tumor subtype by using correlation filters." IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 9.2 (2012): 580-591.
[24]	Sakkatos, Promprawatt, et al. "Analysis of text-based CAPTCHA images using Template Matching Correlation technique." Information and Communication Technology, Electronic and Electrical Engineering (JICTEE), 2014 4th Joint International Conference on. IEEE, 2014.
Title
:
Electrical Parameter Control and Monitoring on PC
Article Type
:
Reveiw Article
Author Name(s)
:
Keyur H.Gujjar, Dr. Subhash Technical Campus; Khushbu R. Shyara ,Dr. Subhash Technical Campus; Asst. Prof. Rahul J. Thumar ,Dr. Subhash Technical Campus; Asst. Prof. Ismail K. Pota ,Dr. Subhash Technical Campus
Country
:
India
Research Area
:
Controlling
This assignment aims at building an efficient and automatic power survey system, which is capable of monitoring and control the electrical factors of high voltage devices, which are present in real time industrial environment. the system makes use of RS-232 based communiqué which is suitable of transferring data over longer distances the purpose of this project is to acquire the secluded real time electrical parameters like voltage, current and frequency also temperature and send these real time values over PC using USB to serial convertor the data is sense using various electrical sense and process by Micro-controller the managed data is downloaded and display on to the computer for further processing this project makes use of an onboard processor which is regularly termed as microcontroller. This on the team computer can efficiently transfer with the different sensors being used the controller is providing with some inner retention to hold the code.
Keywords : Atmega8 Microcontroller , 12-0-12 Transformer , Relay , 220uf Capacitor , USB to Serial Adapter , MOC3031 – Opt isolator.
[1]	Jyotishman Pathak, Yuan Li, Vasant Honavar and James D. McCalley, "A Service-Oriented Architecture for Electric Power Transmission System Asset Management", In ICSOC Workshops, pp: 26-37, 2006.
[2]	B. A. Carreras, V. E. Lynch, D. E. Newman and I. Dobson, "Blackout Mitigation Assessment in Power Transmission Systems", Hawaii International Conference on System Science, January 2003.
[3]	Daponte, M. Di Penta and G.Mercurio,"TRANSIENTMETER: A Distributed Measurement System for Power Quality Monitoring", IEEE Transactions on Power Delivery, Vol. 19, Issue. 2, pp: 456-463, 2004.
[4]	Jyotishman Pathak, Yuan Li, Vasant Honavar and James D. McCalley, "A Service-Oriented Architecture for Electric Power Transmission System Asset Management", In ICSOC Workshops, pp: 26-37, 2006.
[5]	Xiaomeng Li and Ganesh K. Venayagamoorthy, "A Neural Network Based Wide Area Monitor for a Power System", IEEE Power Engineering Society General Meeting, Vol. 2, pp: 1455-1460, 2005.
Title
:
Fuzzy Logic Based Power Factor Correction AC-DC Converter
Article Type
:
Other
Author Name(s)
:
Gururaj Patgar, Goa College of Engineering; Dr. Anant Naik ,Goa College of Engineering
Country
:
India
Research Area
:
Power and Energy
A DC-link voltage is widely used in industrials and domestic’s application. Simple diode rectifier’s bridges are used to create dc voltage link. A diode rectifier has a high distortion input currents wave form and low power factor. A single phase AC–DC boost converter is realized to replace the conventional diode bridge rectifier. Fuzzy logic and hysteresis control techniques is implemented to improve the performance of the boost converter. The current loop is being controlled by using a PI, and hysteresis controllers. The fuzzy controller is applied to DC voltage loop circuit to get better performance. The results show that the fuzzy controller gives well controller. The controller is verified via MATLAB/Simulink.
Keywords : Power factor correction (PFC), Fuzzy logic controller (FLC), Hysteresis controller, Boost converter, Pi controller
[1]	M. Malinowski, M. Jasinski, M.P. Kazmierkowski, “Simple direct power control of three-phase PWM rectifier using space-vector modulation (DPC- SVM)”, IEEE Transactions on Industrial Electronics (2004) 447–454
[2]	Masashi O., Hirofumi M. “An AC/DC Converter with High Power Factor”, IEEE Transaction on Industrial Electronics, 2003, Vol 50, No. 2, pp. 356–361
[3]	Kessal A, Rahmani L, Gaubert JP, Mostefai M. “Analysis and design of an isolated single-phase power factor corrector with a fast regulation”. Electr Power Syst Res 2011; 81:1825–31.
[4]	Jankovskis J., Stepins D., Pikulins D. “Lowering of EMI Noise in Boost Type PFC by the use of Spread Spectrum”, Electronics and electrical Engineering. – Kaunas: Technologija, 2009, No 6(94), pp 15–18
[5]	Chung HSH, Tam EPW, Hui SYR. “Development of a fuzzy logic controller for boost rectifier with active power factor correction”, In: IEEE Power Electronics Specialists Conference PESC'99, 1; 1999. p. 149–54.
[6]	Jee–Woo L., Bong–Hwan K. “A Power–Factor Controller for Single Phase PWM Rectifier”, IEEE Transaction on Industrial Electronics, 1999, Vol. 46, No 5, pp 1035–1037.
[7]	Kessal A, Rahmani L, Gaubert JP, Mostefai M. “Experimental design of a fuzzy controller for improving power factor of boost rectifier”. Int J Electron 2012; 99 (12):1611–21.
Title
:
A Battery/Supercapacitor Hybrid Combination in Uninterruptible Power Supply (UPS)
Article Type
:
Other
Author Name(s)
:
Gaurav R. Chitnis, Goa College of Engineering, Farmagudi-Goa; Sonali D. Pandit ,
Country
:
India
Research Area
:
Power and Energy System Engineering
This study presents a design of internal parameters of supercapacitor using charging/discharging characteristics of a battery. We aim at investigating the optimal supercapacitors-battery combination .This investigation is twofold first, supercapacitors and battery models are developed using MATLAB/Simulink and are presented and. Second, the architecture and the simulation of the designed system that combines the Supercapacitor and the battery are shown. The supercapacitors are used as high-power storage devices to smooth the peak power applied to the battery during backup time and to deliver full load power during short grid failures. By charging the supercapacitor through the battery at a suitable rate, all impulse power demands would be satisfied by the supercapacitors.
Keywords : Uninterruptible Power Supply (UPS), Battery, Energy Storage Systems(ESS), Supercapacitors, Hybrid
[1]	Z. Chlodnicki, W. Koczara, and N. Al-Khayat, “Hybrid UPS based on supercapacitor energy storage and adjustable speed generator,” Electr. Power Qual. Utilis. J., vol. XIV, no. 1, pp. 13–24, 2008.
[2]	Komal R. Patel, Rushi R. Desai,"Calculation of Internal Parameters of Super capacitor to Replace Battery by Using Charging and Discharging Characteristics,"International Journal of Engineering and Innovative Technology (IJEIT);"Volume 2,Issue 1,July 2012.
[3]	Amine Lahyani, Pascal Venet, Abdessattar Guermazi, and Alaeddine Troudi, "Battery/Supercapacitors Combination in Uninterruptible Power Supply (UPS), "IEEE TRANSACTIONS ON POWER ELECTRONICS,VOL,,28, NO.4, APRIL 2013 .
[4]	L. Zubieta, R. Bonert, “Characterization of Double Layer Capacitors (DLCs) for Power Electronics Applications”, IEEE 1998.
[5]	L. Gao, R. A. Dougal, and S. Liu, “Power enhancement of an actively controlled battery/ultracapacitor hybrid,” IEEE Trans. Power Electron., vol. 20, no. 1, pp. 236–243, Jan. 2005.]
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[15]	F. Esposito, V. Isastia, and S. Meo, “PSO based energy management strategy for pure electric vehicles with dual energy storage systems,” Int. Rev. Electr. Eng., vol. 5, no. 5, part A, pp. 1862–1871, Oct. 2010.
[16]	T. Peppel, G. Sartorelli, and A. Schneuwly, “Elimination of high power delivery rates by energy storage in supercapacitors,” presented at the Eur. Conf. Power Electr. Appl., Dresden, Germany, 2005.
[17]	P. Mars, “A survey of supercapacitors, their applications, power design with supercapacitors, and future directions,” in Proc. IEEE Technol. Time Mach. Symp. Technol. Beyond 2020, pp. 1–2, Jun.1–3, 2011.
[18]	A. Stepanov, I. Galkin, and L. Bisenieks, “Implementation of supercapacitors in uninterruptible power supplies,” in Proc. Eur. Conf. Power Electr. Appl., Aalborg, Denmark, Sep. 2–5, 2007.
[19]	P. Barrade, S. Pittet, and A. Rufer, “Energy storage system using a series connection of supercapacitors, with an active device for equalizing the voltages,” presented at the Int. Power Electronics Conf., Tokyo, Japan, 2000.
Title
:
Design and Fabrication of Single Phase to Three Phase Variable Voltage Power Converter
Article Type
:
Research Article
Author Name(s)
:
Sanmesh Sitaram Khandolkar, Goa College of Engineering, Noah Dias, Goa College of Engineering
Country
:
India
Research Area
:
Power Electronics
A single-phase to three-phase power conversion system with parallel rectifier and series inverter to cope with single-phase to three-phase asymmetry is presented in this paper. This converter guarantees reduction in the input current drawn by rectifier circuit and reduction of the output voltage given by the inverter circuit. In spite of this topology it is not observed on the technical literature, in this paper at the proposed converter with modulation strategy, and comparison with the conventional configuration is studied .It gives Simulated and experimental results of the designed converter.results are also presented.
Keywords : Phase Converter, Variable Voltage, Single Phase, Three Phase
[1]	EuzeliCipriano dos Santos Jr., NadyRocha,andCursinoBrand˜aoJacobina , “Suitable Single-Phase to Three-Phase AC–DC–AC Power Conversion System ’’, IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 30, NO. 2, FEBRUARY 2015
[2]	ArvindK.Yadav, NayanWadgure, PavanKamdiDepartment of Electrical Engineering ,D.M.I.E.T.R (wardha) ,” CONVERSION OF SINGLE PHASE TO THREE PHASE SUPPLY” , International Journal of Research in Advent Technology (E-ISSN: 2321-9637) Special Issue 1st International Conference on Advent Trends in Engineering, Science and Technology“ICATEST 2015”, 08 March 2015.
[3]	PoojaSahastrabuddhe, Dr. Hari Kumar Naidu ,TulasiramjiGaikwad-PatilTulasiramjiGaikwad-Patil College of Engineering & Technology, Nagpur, ‘’PHASE TO THREE PHASE POWER CONVERSION USING PWM TECHNIQUE’’ , INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY , July 2016.
[4]	Dong-Choon Lee Member, IEEE , Young-Sin Kim , ’’ Control of Single-Phase to Three-Phase AC/DC/AC PWM Converters for Induction Motor Drives ’’, IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 21, NO. 2, 1998.
[5]	Ismail Daut, Rosnazri Ali and SoibTaib School of Electrical Systems Engineering, Kolej University ,Malaysia ,’’Design of a Single-Phase Rectifier with Improved Power Factor and Low THD using Boost Converter Technique', American Journal of Applied Sciences 3 (9) , 2006.
[6]	AprajitaRana ,HimanshuBansal , Ketan Main Delhi Technological University, Main Bawana Road, New Delhi ,’’Simulation and Analysis of 3 Phase Multi-Level Inverter ’’, International Journal of Computer Applications (0975 – 8887) Volume 141 – No.9, May 2016 .
[7]	ShaikBarakathullaBasha, Mohammad Haseeb Khan and Mohammed Ismail ‘’A SIMULATION MODEL FOR CONVERTING SINGLE-PHASE TO THREE-PHASE SYSTEM USING TWO PARALLEL SINGLE-PHASE RECTIFIERS’’International Journal Of Electrical And Electronics Engineering And Telecommunications ISSN 2319 – 2518 , Vol. 4, No. 3, July 2015.
[8]	G. Sudhir Kumar, G. Kumaraswamy, Dr. K. Sri Gowri, ‘’Modeling Of Single-Phase To Three-Phase Drive System Using Two Parallel Converters On Input Side’’, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp.1821-1827
[9]	Ahmad Saudi Samosir, Taufiq, Abdul JaafarShafie, Abdul HalimMohdYatim,‘’Simulation and Implementation of Interleaved Boost DC-DC Converter for Fuel Cell Application’’, International Journal of Power Electronics and Drive System (IJPEDS) Vol.1, No.2, December 2011, pp. 168~174, ISSN: 2088-8694
[10]	M.S.Aspalli, Asha.R, P.V. Hunagund, ’’THREE PHASE INDUCTION MOTOR DRIVE USING IgbtsAND CONSTANT V/F METHOD,ISSN: 2278 – 8875, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 1, Issue 5, November 2012
[11]	Chuanyun Wang, ‘’Interleaved Boost Converters And Applications, Chuanyun Wang Dissertation’’ submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical Engineering.
[12]	A. H. Maggs, “Single-phase to three-phase conversion by the ferrarisarno system,” Electr. Eng.—Part I, General, J. Inst., vol. 93, no. 32, pp. 133–136, Aug. 1946
[13]	K. Hisano, H. Kobayashi, and T. Kobayashi, “A new type single-phase to three-phase converter,” IEEE Trans. Magn., vol. 2, no. 3, pp. 643–647, Sep. 1966.
[14]	S. Dewan and M. Showleh, “A novel static single-to three-phase converter,” IEEE Trans. Magn., vol. 17, no. 6, pp. 3287–3289, Nov. 1981.
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[16]	‘’Fundamentals of Electronics Circuit Design’’ by Prof G. A .Kulkarni & Prof V.P. Joshi, Chapter 1 Page (1-16).
[17]	’’Design Of Electronic Circuits And Computer Aided Design’’, by M.M. Shah, Chapter 1 Page (3-11), Chapter 3 (190-196).
[18]	R.S. Ananda Murthy, V.Nattarasu, second revised edition, Power electronics, Pearson publication. page (21-30)
[19]	C.R.Robertson, Fundamental electrical & electronic principles, Elsevier publication. chapter 3 page 78-81
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[21]	BimalK.Bose, ‘Modern Power Electronics and AC Drives’, Pearson Education (Singapore) Pvt. Ltd., New Delhi, 2003 Chapter 4 page 51-54.
Title
:
Adaptive FIR Filter Processing of Vibroarthrographic Signal
Article Type
:
Case Study
Author Name(s)
:
J. Prasad, Sri Ramakrishna Engineering College; B.Anusthika ,Sri Ramakrishna Engineering College; V.Dhivya ,Sri Ramakrishna Engineering College; D.Vyshali ,Sri Ramakrishna Engineering College
Country
:
India
Research Area
:
Bio Signal Processing
The knee is one of the most important and injured site in human body. Current evaluation of the knee joint status are based on imaging such as CT and MRI, which are sensitive to knee joint disorders and expensive too, and others include the semi- invasive procedures. In order to overcome these problems a vibroarthrography is introduced. The aims of the present study were to investigate the most suitable location for vibroarthrography measurements of the knee joint to distinguish a healthy knee from knee osteoarthritis.Vibroarthrography appear as an innovative and non-invasive approach to solve this problem. Mechanical vibratory signals arising from the defected knee joint can be recorded recurring to a tiny accelerometer. Healthy cartilage is smooth and slippery, producing minimum vibration while deteriorated cartilage is more irregular, producing additional vibrations. Vibrations generated by the friction of deteriorated articular surfaces are different in terms of frequency and amplitude originating distinct and representative vibroarthrographic signals which allows the differentiation of a healthy and a pathological knee. In this work, the normal and pathological knee vibrations is acquired and processed by LMS Adaptive filter and its frequencies is obtained.
Keywords : Vibroarthrography, LMS Adaptive Filter, MRI, CT, Cartilage, Accelerometer
[1]	Jien-Chen Chen, Pi-Cheng Tung, Shih-Fong Huang, Shu-Wei Wu, Shih-Lin Lin and Kuo-Liang Tu, “Extraction and Screening of Knee Joint Vibroarthographic Signals Using Empirical Mode Decomposition Method”, International Journal of Innovative Computing, Information and Control Volume 9, Number 6, June 2013 ICIC International c2013 ISSN 1349-4198.
[2]	Dinis Benjamim Ferreira Moreira, “Classification of knee arthropathy with accelerometer-based vibroarthrography”, September, 2015.
[3]	Susumu Ota, RPT, , Akiko Ando, RPT, Yusuke Tozawa, Takuya Nakamu, Shogo Okamoto, Takenobu Sakai, Kazunori Hase, “Preliminary study of optimal measurement location on vibroarthrography for classification of patients with knee osteoarthritis”, The Journal of Physical Therapy Science 28: 2904–2908, 2016.
[4]	Divya, Preeti Singh, Rajesh Mehra (2013) “Performance Analysis of LMS & NLMS Algorithms for Noise Cancellation” International Journal of Scientific Research Engineering & Technology (IJSRET), Vol. 2, Issue.6, ISSN 2278 – 0882.
[5]	Jyoti dhiman, shadab ahmad and kuldeep gulia (2013)” Comparison between Adaptive filter Algorithms (LMS, NLMS and RLS)” International Journal of Science, Engineering and Technology Research (IJSETR), May 2013, Vol. 2, Issue. 5, ISSN: 2278 – 7798.
[6]	Nasser Kehtarnavaz and Namjin, Kim University of Texas at Dallas, “Digital Signal Processing System-Level Design Using LabVIEW” Copyright © 2005, Elsevier Inc.
[7]	Nishi Singh Patel, Sunil Kumar, Gagan Minocha “Design and implementation of LMS Adaptive Filter” International Journal of Advance Research in Science and Engineering, IJARSE, Vol. No. 2, Issue No. 5, May, 2013.
[8]	Biomedical Signal Analysis.
[9]	Biomedical Engineering Handbook.
Title
:
Estimation of Rain Drop Size using Image Processing
Article Type
:
Conference Article
Author Name(s)
:
Shraddha Dilip Shetye, Yadavrao Tasgaonkar Institute of Engineering & Technology; Pandharinath A Ghonge ,Yadavrao Tasgaonkar Institute of Engineering & Technology
Country
:
India
Research Area
:
Image Pocessing
The drop size distribution (DSD) has awesome variety in various sorts of precipitation condition. The DSD can likewise decide diverse snapshot of rainfall. Image processing tool can help to analyses rain in the space. An enhanced mean filter is executed for de-noising of exceptionally tainted and edge protection of a picture. Picture division regularly used to recognize the frontal area from background. Biclustering calculations in view of vertical and horizontal arrays mean value an incentive to choose the limit at the nearby mean. Elective calculation is tried with same information; separation estimation is utilized to converge to pixels. It specifically approaches the feasibility of assessing the decency of each match and naturally gathering the nearer combine ought to be nearest in the feeling of mean separation. All means are rehashed until accomplishing two clusters. Results obtained from automatic thresholding of picture are demonstrating legitimacy of the method. Morphological operators are most helpful for depiction of the state of the objects.
Keywords : DSD, Image Segmentation, rain guage, disdrometer etc
[1]	Pei-Eng Ng and Kai-Kuang Ma, “A Switching Median Filter with BDND for Extremely Corrupted Images”, IEEE Trans Image Processing, Vol. 15, No. 6, PP. 1506-1516, June 2006
[2]	Jafar Ramadhan Mohammed, “An Improved Median Filter Based on Efficient Noise Detection for High Quality Image Restoration,”,IEEE Int. Conf ,PP. 327 – 331, . May 2008
[3]	Xiaoyin Xu, Eric L. Miller, Dong bin Chen and Mansoor Sarhadi, “Adaptive Two-Pass Rank Order Filter to Remove Impulse Noise in Highly Corrupted Images”, IEEE Trans Image Processing,Vol.13,No.2, PP.238-247, February 2004.
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Title
:
Mechatronical Seed Sowing Machine
Article Type
:
Reveiw Article
Author Name(s)
:
Mr.Akshay Divate, PVPIT,Budhgaon,Sangli; Miss.Drakshayini Muchandi ,P. V. P. Institute of Technology Budhgaon; Miss.Snehal Patil ,P. V. P. Institute of Technology Budhgaon; Prof.S.V.Phakade ,P. V. P. Institute of Technology Budhgaon
Country
:
India
Research Area
:
Electronics and Telecommunication
This paper is focused on seed sowing process using a Bluetooth operated machine. The integral construction of the machine is made simple to use. In the farming process, Conventional seeding operation takes more time and more labor. Due to more sowing rate the time required for the total operation is more and the labor cost is increased. So Automation in farming would provide one of the feasible solutions. For that, we are going to automate the seed sowing machine. This machine is controlled by a Smartphone. This project focuses on developing the Bluetooth operated mobile machine to minimize the working cost and increase the accuracy of seed sowing. A 12V battery is used which gives supply to the overall system of the machine, we can also connects solar panel to this circuit. PIC Microcontroller is used which controls the machine for desired sowing operation and a Bluetooth interface is used to navigate the machine.
Keywords : Bluetooth Module HC05, Bluetooth Robo Application, DC motors, Motor Drivers, PIC 16F877A.
[1]	A. Rohokale, (2004) “International journal of advanced agriculture system with proper seed spacing”
[2]	Christo Ananth,C.Sudalai@Utchi Mahali,N.Ebenesar Jebadurai, S.Sankari@Saranya,T.Archana, “Intelligent sensor Network for Vehicle Maintenance system”, International Journal of Emerging Trends in Engineering and Development (IJETED), Vol.3, Issue 4, May 2014, pp-361-369
[3]	Mahesh R. Pundkar, “A seed sowing machine: A review” IJESS volume 3, Issue 3. ISSN: 2249-9482, International journal of engineering and social science
[4]	Ramesh.D, Girishkumar H.P (2014)"Agriculture Seed Sowing Equipments : A Review "International Journal of Science, Engineering and Technology Research(IJSETR)
[5]	Global Journal of Advance Research Vol-2, Issue-4, 30 April 2015 (www.gjar.org)PP.712-717 ISSN: 2394-5788 “Solar Powered Seed Sowing Machine”.
Title
:
Web Based Online Examination System
Article Type
:
Reveiw Article
Author Name(s)
:
Shubham Bobde, WCEM; Suraj Chaudhari ,WCEM; Jagupati Golguri ,WCEM; Prof. Rahul Shahane ,WCEM
Country
:
India
Research Area
:
Web Application
An Online Examination System is a web software solution, which allows any institute or industry to set up, direct and manage examinations via an online environs. Some of the problems faced during manual examination systems are the retard take place in result processing, filing poses a problem, chance of loss of records is more as well as searching records is hard. System Maintenance is also very difficult and time consuming and endeavor. Online examination is one of the essential parts for online educational system. It is effective, fast and reduces the large amount of resource material. An examination system is develop base on the internet. This paper delineate the system principle, presents the main intention of the system, analyzes the auto-create test paper algorithm, and discourse the system security.
Keywords : Online Examination; Result Processing; Auto-Create; System Security; Web Software Solution;
[1]	Xu Qiaoxia, Liu Dongsheng. Research and Design of the Security of Network Examination System [J]. Computer Education, vol 5, pp. 40-42, 2010.
[2]	Song Luo, Jianbin Hu and Zhong Chen."Task based automatic examination system for sequenced test". 2009 International Conference on Electronic Computer Technolgoy, 2009, pp.18-21.
[3]	J.Zhang, W.Fang, J.Song,”The Design and Realization of the Intelligentize Online Testing System Based on Templates”, Knowledge Acquisition and Modeling, 2009. KAM '09. Second
[4]	Intelligentize Online Testing System Based on Templates”, Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on, vol.3, no., pp.248-251, Nov. 30 2009- Dec. 1 2009.
[5]	Song Luo, Jianbin Hu and Zhong Chen."Task based automatic examination system for sequenced test". 2009 International Conference on Electronic Computer Technolgoy, 2009, pp.18-21.
[6]	Yu Yong-qui, Huang ji-feng, Lu xiao. Design of a remote training and examination system based on B/S. Microcomputer Information.Vol 9, pp232-233,292.
[7]	Wang Aimin, Wang Jipeng. Design and Implementation of WebBased Intelligent Examination System. Proceeding of the 2009 WR1 World Congress on Software Engineering, WCSE 2009. pp195 199, 2009.
[8]	Meiyu Fang."Design and implement of a web examination system using Struts and EJB". 2008 Seventh international Conference on Web-based Learning, 2009. pp 25-28.
[9]	Zhang Chunhui. Analyzation of Data Security in Network Examination System [J]. Software Guide, vol 7, pp. 175-177, 2008.
[10]	PENG JiJiang, YANG Guangzhong. "Design and realization of internet Exam system based on .NET". Science Technology and Engineering Vol(5),2005(20), pp. 1555-1560.
Title
:
Optimization of Cylindrical Grinding Machine Parameters for Minimum Surface Roughness and Maximum MRR
Article Type
:
Research Article
Author Name(s)
:
Rupesh Karande, NBNSSOE; Kshitij Patil ,NBNSSOE; Sainand Jadhav ,NBNSSOE; Ravikant Nanwatkar ,NBNSSOE
Country
:
India
Research Area
:
RND
Cylindrical grinding is very important process to improve quality of the component and to get precision dimensions with smooth surface finish. In the manufacturing sector, producing smooth surface finish plays an important role. To fulfill this smooth finish, surface grinding process is mostly used in which the parameters to be considered are surface quality and metal removal rate. Several factors which include depth of cut, wheel grade, wheel speed, material properties and table speed affects the machining process economics. This paper mainly focuses on developing the empirical models using response surface methodology for surface roughness and metal removal rate by considering control factors as wheel speed, table speed and depth of cut. The main objective of using Response surface methodology (RSM) on surface grinding operation of EN19 steel is to find optimum machining parameters which leads to minimize surface roughness and maximum metal removal rate. For conducting the experiment EN19 material was chosen due to various applications in automobile and mechanical components. While experimenting on cylindrical grinding machine having silicon carbide wheel L9 Orthogonal array with input variables for analysis and for optimization Taguchi method was implemented. The optimization model developed could be beneficial to many different manufacturers to get right combination of matching parameters to achieve minimum surface roughness.
Keywords : Cylindrical Grinding, Grinding, Taguchi Method, ANOVA, Modeling, Optimization
[1]	M.Aravind, Dr. S. Periyasamy (2000). “Optimization of Surface Grinding Process Parameters By Taguchi Method And Response Surface Methodology”IJERT, 1721-1727.
[2] Pawan Kumar, Anish Kumar (2013)"Optimization of Process Parameters in Surface Grinding Using Response Surface Methodology”, International Journal of research In Mechanical engineering & technology,pp245-252
[3] Yung-Tsan Jou, Wen-Tsann Lin (2014)" “An Experimental and Statistical Investigation on Shape Error in Interrupted Grinding”, Internatıonal Journal of Natural and Engineering Sciences, vol 1, pp.77-81”.
[4]	Jae-Seob Kwak,(2005) “Application of Taguchi and response surface methodologies for geometric error in surface grinding process”, International Journal of Machine Tools & Manufacture 45 .
[5]	Witold F. Habrat(2016)." Effect of Bond Type and Process Parameters on Grinding Force Components in Grinding of Cemented Carbide”, science direct,122-129.
[6]	Jayanti Das , Barbara Linke(2014), “Effect of Manual Grinding Operations on Surface Integrity”, science direct,95-
[7]	L. B. Abhang & M. Hameedullah(2011) “Determination of optimum parameters for multiperformance characteristics in turning by using grey relational analysis”, science direct.
Title
:
Ensemble GCMs Climate Change Projections for Kabul River Basin, Afghanistan under Representative Concentration Pathways
Article Type
:
Research Article
Author Name(s)
:
Mohammad Hassan Hassanyar, Bamyan University ; Sediqa Hassani ,Avicenna University, Kabul City, Afghanistan ; Jeff Dozier ,University of California Santa Barbra, CA 93106-5131, USA
Country
:
Japan
Research Area
:
Water Resources Management and Climate Change
The aim of study is to project the future climate of the Kabul River Basin of Afghanistan under the recent IPCC AR5 data set . The SimCLIM model was applied for climate modeling. A multi- model ensemble was used for best representation of future climate under the selected RCP4.5 and 8.5 pathways with time span of 2021-2040 (2030s), 2051-2070 (2060s) and 2081-2100 (2090s) with respect to baseline of 1961-2010. The output of multi-model ensemble climate modeling illustrated a considerable change in temperature and precipitation of the basin. The potential seasonal change of Tmax under RCP 4.5 and 8.5 pathways demonstrated peek rise in the winter season and lowest increases in the summer months, the change not exceed from 4.49˚C in winter and 3.96˚C in the summer by end of the century. In addition, under both pathways RCP4.5 and 8.5 the future Tmin depicted high rise at winter and lowest increase at the spring months, under the high emission scenario RCP8.5 the Tmin projected to increase by 4.53˚C and 3.49˚C at winter and spring respectively by the end of this century. However, the overall multi-model ensemble results of future seasonal precipitation pattern showed both downtrend and upward trend in spring and summer at all three periods, under RCP 8.5 the percentage of downtrend and upward projected (-5.02%) in autumn and (+1.55%) in winter by end of the century with respect to baseline, under this pathway the overall annual precipitation pattern simulated to decrease (-2.18%) by end this century. 
Keywords : GCMs, RCPs, Climate change, ensemble, Kabul River Basin
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Title
:
Detection of Vehicular Area for Smart Traffic Control System
Article Type
:
Conference Article
Author Name(s)
:
Swathi G, Prince Shri Venkateshwara Padmvathy Engineering College; Valli L ,Prince Shri Venkateshwara Padmvathy Engineering College; Saranya T V ,Prince Shri Venkateshwara Padmvathy Engineering College
Country
:
India
Research Area
:
Digital Image Processing
The increasing number of road traffic jams has led to the development of smart traffic control systems. The system proposes to determine the vehicular area in order to know the space occupied by the vehicle on the road. On determining this separate count for heavy and light vehicle is made which can eventually control the traffic. The system uses vehicle tracking algorithm and blob detection for processing the video sequences.
Keywords : Blob Detection, Congestion Status, Region Properties, Vehicle Tracking
[1]	Abdel-Hamid Soliman, Rami Alkhawaji (2016), ‘Video analysis for yellow box junction violation: requirements, challenges and solutions’.
[2]	Iman Gholampour, Rahim Panahi (2015), ‘Accurate detection and recognition of dirty vehicle plate numbers for high-speed applications’.
[3]	Khalilur Rhaman. Md. (2016), ‘An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system’, from Kyushu Institute of Technology.
[4]	Neha (Department of computer science and engineering) (2014) ‘Implementation and comparison of improved traffic congestion control scenario’.
[5]	SuvroSen (2015), ‘Vehicle digital number plate in Bangladesh’, [online] www.bikebd.com/vehicle-digital-number-plate-in-bangladesh/.
[6]	Tun Wang, Jing Zhang (2011), ‘Design and realization of the traffic police mobile office system based on android’, International conference on Geo informatics.
[7]	Xiao Chen (2008), ‘Application of matlab in moving object detecting algorithm’, International Seminar on, Future Biomedical Information Engineering, FBIE.
[8]	Xiao Laisheng, Peng Xiaohong, Wang Zhengxia, (2009), ‘Research on Traffic Monitoring Network and its Traffic flow Forecast and Congestion control model based on Wireless sensor Networks’
Title
:
Design and Fabrication of In-Pipe Inspection Robot
Article Type
:
Research Article
Author Name(s)
:
Akshay B. Rakate, NBN Sinhgad School of Engineering; Shripad R. Latange ,NBN Sinhgad School of Engineering; Akshaykumar B. Navale ,NBN Sinhgad School of Engineering; Vinayak G. Nalkar ,NBN Sinhgad School of Engineering; V. R. Kagade ,NBN Sinhgad School of Engineering
Country
:
India
Research Area
:
Project Work
Many kinds of pipes are being utilized to construct important lifelines such as water and gas supply in our contemporary society. Also pipes are widely used in chemical industries and in gulf countries for carrying petrol, diesel, oil etc. But after some years these pipes get damaged and defects are occurring in pipe. If the defects in the pipe are caused by rust and nature calamity, it is difficult to find out the defects and the location of the defects, and also there is great amount of loss of fluids and gases. Thus scheduled inspection must be done. If we decide to do this inspection manually then large amount of time, effort and labour is necessary to grub up the pipes that are buried in the ground. If the robot can inspect inside the pipes, fast and accurate examination will be able to be done at low cost. Size and shape adaptability will be achieved by chuck-jaw mechanism.
Keywords : In-Pipe Inspection, Chuck Jaw Mechanism, Pipeline Exploration Robot, Laws of Robotics, Big Rocker Double Pole Switch
[1]	Jong-Hoon Kim, Gokarna Sharma, And S. Sitharama Iyengar “FAMPER: A Fully Autonomous Mobile Robot for Pipeline Exploration”, Department of Computer Science, Louisiana, State University the USA 2010 pp 517-520
[2]	Atul Gargade1, Dhanraj Tambuskar, Gajanan Thokal, “Modelling And Analysis of Pipe Inspection Robot”, International Journal of Research In Engineering And Technology,2013, Pp 120-121
[3]	Palwinder Kaur1, Ravinder Kaur, Gurpreet Singh, “Pipeline Inspection and Borewell Rescue Robot”, International Journal of Research in Engineering and Technology,2014, Pp 726-728
[4]	Nur Afiqah Binti Haji Yahya, Negin Ashrafi, Ali Hussein Humod, “Development and Adaptability of In-Pipe Inspection Robots”, Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University Putra Malaysia, Malaysia, 2014, Pp 1-8
[5]	Ankit Nayak Ax, S. K. Pradhan,“The Design of A New In-Pipe Inspection Robot”, Twelveth Global Congress Manufacturing And Management, 2014.
Title
:
Computer Aided Design of Low Cost Bale Trolley
Article Type
:
Research Article
Author Name(s)
:
Prashantkumar Krushnarao Parshive, G.H.Raisoni College of Engineering, Nagpur; Prof.Vipin S Khangar ,G.H.Raisoni College of Engineering, Nagpur
Country
:
India
Research Area
:
Mechanical Engineering
Material handling systems are commonly used in almost all the industries in all over the world. It is an art and science involving moving, packaging and storing of substances in various forms. This paper contains design of low cost bale trolley used for cotton bale handling. The Bajaj steel industry has manufactured cotton pressing machine 15 BP4818, for that they need to design new trolley according to the size of bale. They have previously designed bale trolley for another press machine (for BP5421) which is not suitable for this new pressing machine (15 BP4818). As more and heavy material was used in previous design which was leading in increasing cost of the bale trolley. Requirement is to improve previous design and to reduce weight according to cotton bale size (which is 175 kg).
The Bajaj steel industry is continuously working for higher productivity, cost reduction and quality improvement of the ginning and pressing equipment. As a result of this research can accomplish the requirement of low cost bale trolley for 15 BP 4818 cotton pressing machine. So improve productivity and quality. Since reducing weight and improving design bring significant cost reductions in material handling process.
Keywords : Bale, Trolley, Press, Cost, Weight Reduction Design
[1]	Dr.Devanand Uttam* 2013 “International Journal of Advanced Research in Engineering and Applied Sciences’’.
[2]	Kaustubh V. Wankhade1 and Dr. N. A. Wankhade2 1ME-Mechanical (CAD/CAM) Scholar, PRMIT&R, Badnera, Amravati, Maharashtra, India.
[3]	A. B. Dahake & P.G. Patil, Central Institute for Research on Cotton Technology, Nagpur 440023, India. M. Padole Visvesvaraya National Institute of Technology, Nagpur, India
[4]	Michael G. Kay Fitts Dept. of Industrial and Systems Engineering North Carolina State University January 12/2012.
[5]	A. P. Bahale 1, Dr.S.S.Deshmukh P.G. Student, Department of Mechanical engineering, PRMIT&R, Badnera, India1 Associate Professor, Department of Mechanical engineering, PRMIT&R, Badnera, India.
[6]	Gautam B.Ghegadmal, Late.Prof. Ashok S. Patole, Prof. Vaishali S.Kumbhar, Prof. Vinayak H. Khatawate / International Journal of Engineering Research and Applications (IJERA)(M.E.Scholar, Department of Mechanical Engineering, PIIT, New Panvel, Navi Mumbai, India.
[7]	Mr.Madhukara Nayak: (Assistant Professor) Mechanical Engineering, Shri Madhwa Vadiraja Institute of Technology and Management, India (May - Jun. 2015),
[8]	Sarmad Ali; London South Bank University, August 2015
[9]	Mulik shriniwas: S.B. Patil College of Engineering, Indapur, India. October 2015
Title
:
An Analysis of Credibility of Content on Twitter
Article Type
:
Research Article
Author Name(s)
:
Dr. Bhoomi Gupta, Maharaja Agrasen Institute of Technology; Shivani Shukla ,Maharaja Agrasen Institute of Technology
Country
:
India
Research Area
:
Networks
We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter are truthful, but the service is also used to spread misinformation and false rumors, often unintentionally. Specifically, we analyze microblog postings related to “trending” topics, and classify them as credible or not credible, based on features extracted from them. We use features from users’ posting and re-posting (“re-tweeting”) behavior, from the text of the posts, and from citations to external sources. Our results show that there are measurable differences in the way messages propagate, that can be used to classify them automatically as credible or not credible. 
Keywords : Twitter, Credibility, Online Social Media
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[2]	Alonso, Omar, Carson, Chad, Gerster, David, Ji, Xiang,and Nabar, Shubha. Detecting Uninteresting Content in Text Streams. In SIGIR Crowdsourcing for Search
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[10]	H. Kwak, C. Lee, H. Park, and S. Moon. What is twitter, a social network or a news media? In World Wide Web Conference. ACM Press, 2010.
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[18]	C. Castillo, M. Mendoza, and B. Poblete. Information Credibility on Twitter. In WWW, pages 675{684, 2011.
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[20]	J. Ratkiewicz, M. Conover, M. Meiss, B. Gon_calves, S. Patil, A. Flammini, and F. Menczer. Truthy: mapping the spread of astroturf in microblog streams. WWW '11.
Title
:
Smart Home Energy Saving System using IOT
Article Type
:
Research Article
Author Name(s)
:
R.Gunasekaran, Excel College of Engineering and Technology; M.Anandakumar ,Excel College of Engineering and Technology; E. Durai Singh ,Excel College of Engineering and Technology; P.Saravanan ,Excel College of Engineering and Technology; M.Sangeetha ,Excel College of Engineering and Technology
Country
:
India
Research Area
:
Smart Home Energy Management System
 Automation plays a significant role in today’s human life and people’s life is gradually changing with smart living due to current technology developed. The sensible home energy network has gained general attentions thanks to its versatile addition into standard of living. This next generation inexperienced home system transparently unifies varied home appliances, sensible sensors and wireless communication technologies. Wattage parameters of a load conjointly establish the operation standing of a tool that is joined to the sensible plug. We tend to decision it as a “ZigBee device network”. The planned sensible home energy management system divides and assigns varied home network tasks to applicable parts. Energy recording, standby power use management, electrical asking, and power info assortment. It will integrate heterogeneous physical sensing info and management varied shopper home devices, with the support of active device networks having each device and mechanism parts. The system example is put in at a private residence, and therefore the concert is valid by the check results.
Keywords : Smart Home, Energy Management, ZigBee, Sensor Net, Internet
[1]	Young-Guk Ha, “Dynamic integration of zigbee home networks into home gateways using OSGI service registry,” IEEE Transactions on Consumer Electronics., vol. 55, Issue. 2, pp.470-476, May. 2009.
[2]	Shang-Wen Luan, Jen-Hao Teng, Shun-Yu Chan and Lain-Chyr Hwang, "Development of a Smart Power Meter for AMI Based on ZigBee Communication," 8th International Conference on Power Electronics and Drive Systems (PEDS), pp. 661-665, Nov. 2009.
[3]	Tasshik. Shon, Yongsuk Park, “A Hybrid Adaptive Security Framework for IEEE 802.15.4-based Wireless Sensor Networks,” KSII Transactions on Internet and Information Systems.vol.3, no.6, Dec. 2009.
[4]	J. Byun, S. Park, B. Kang, I. Hong and S. Park, "Design and Implementation of an Intelligent Energy Saving System based on Standby Power Reduction for a Future Zero-Energy Home Environment," IEEE Transactions on Consumer Electronics, vol. 59, 507-514, Jan. 2013.
[5]	Jinsoo Han, Chang-sic Choi, Wan-Ki Park, Ilwoo Lee and Sang-Ha Kim, "Smart home energy management system including renewable energy based on ZigBee and PLC," IEEE Transactions on Consumer Electronics, vol. 60, pp. 198-202, Jan. 2014.
[6]	Jinsoo Han, Chang-sic Choi, Wan-Ki Park, Ilwoo Lee and Sang-Ha Kim, "Smart home energy management
[7]	System including renewable energy based on ZigBee and PLC," IEEE Transactions on Consumer Electronics, vol. 60, pp. 198-202, Jan. 2014.
[8]	Dongdong Li, Xiang Liu, Shunfu Lin, Longlong Cui and Jingwei Ren," Design and Load Control Strategy of Smart Domestic Electric System," International Conference on Intelligent Green Building and Smart Grid, pp.1-4,Apr.2014.
Title
:
Optimization of Lathe Parameters for Minimum Surface Roughness and Maximum MRR
Article Type
:
Research Article
Author Name(s)
:
Ashish R.Rajpure, NBN Sinhgad School of Engineering; Yashraj N.Morde ,NBN Sinhgad School of Engineering; Sainand.M. Jadhav ,NBN Sinhgad School of Engineering; Ravikant K. Nanwatkar ,NBN Sinhgad School of Engineering; Dadaso D. Mohite ,Keystone School of Engineering, Pune
Country
:
India
Research Area
:
Research and Development
This paper theologies with the Taguchi technique for the optimization of lathe parameters on a cylindrical round workpiece of EN19 steel. In industry main objective is to have a good quality surface or to get a maximum material removal rate. The three significant parameters of lathe which are used are speed, feed and depth of cut. The number of experiments has been carried out using Taguchi’s orthogonal array in the design of experiments (DOE).Analysis of Variance is used to identify the effects of parameters on the workpiece. Roughness values are measured using a surface roughness meter. From experimental results the mathematical models were generated for the parameters. 
Keywords : Lathe, Annova, Mathematical Modeling, MRR, Taguchi Method, Optimization
[1]	D.Vishnu Vardhan Reddy, N. Jaya Krishna, N.Bhaskar,"Optimization of Cutting Parameters in Turning of En-19 by using Taguchi and Genetic Algorithm" International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 5 Issue 01, January-2016.
[2]	Gaurav Chaudhary," Optimization Of Turning parameters by using taguchi method for optimum surface finish "International Journal of Mechanical And Production Engineering, ISSN: 2320-2092, Volume- 2, Issue- 5, May-2014.
[3]	Mustafa Gunaya,Emre Yucel "Application of Taguchi method for determining optimum surface roughness in turning of high alloy white cast iron" Measurement 46 (2013) 913–919.
[4]	Dadaso D. Mohite "An Investigation of Effect of Dressing Parameters for Minimum Surface Roughness using CNC Cylindrical Grinding Machine "International Journal of Research in Engineering and Applied Sciences (ISSN 2249-3905) VOLUME 6, ISSUE 6 (June, 2016)
[5]	Ashish Kabra" Study on Parametric Optimization & Modeling for Surface Roughness, Feed and Radial Force of EN-19/ANSI-4140 Steel in CNC Turning Using Taguchi and Regression Analysis Method" Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol.3,Issue 1, January -February 2013, pp.1537-1544.
[6]	G.M.Sayeed Ahmed S. Sibghatullah Hussaini Quadri Md Sadiq Mohiuddin "Optimization of Feed and Radial Force in Turning Process by using Taguchi Design Approach" G.M. Sayeed Ahmed et al. / Materials Today: Proceedings 2 (2015) 3277 – 3285.
[7]	R. Nath Yadav, A Hybrid Approach of Taguchi-Response Surface Methodology for Modeling and Optimization of Duplex Turning Process, Measurement (2016).
[8]	D. Sai Chaitanya Kishore, , K. Prahlada Rao, A. Ramesh."Optimization of machining parameters for improving cutting force and surface roughness in turning of Al6061-TiC in-situ metal matrix composites by using Taguchi method".
[9]	Kant G, Sangwan KS, Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining, Journal ofcleanerProduction(2014).
[10]	Bilga PS, Singh S, Kumar R, Optimization of energy consumption response parameters for turning operation using Taguchi method, Journal of Cleaner Production (2016).
[11]	Dinesh Kumar Kasdekar,Vishal Parashar2, Jasveer singh, M.K.Gour4 "Taguchi Method and ANOVA: An Approach for Selection of Process Parameters of EDM of EN-353 Steel"(ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 6, June 2014).
[12]	Natarajan N Arunachalam RM," Optimization with micro EDM with multi performance characterstics using taguchi method and grey relational analysis" Journal of sci.Ind Research 2011;70:500-5.
Title
:
VGDRA Scheme for Mobile Sink Based WSN with Masking Encryption
Article Type
:
Research Article
Author Name(s)
:
Aashna Hassan, Mount Zion College of Engineering, Ambi Rachel Alex, Mount Zion College of Engineering.
Country
:
India
Research Area
:
Wireless Network
In wireless sensor networks, exploiting the sink mobility has been taken into consideration as an excellent approach to stability the nodes strength dissipation. The statistics dissemination to the mobile sink is a challenging mission for the useful resource restrained sensor nodes because of the dynamic community topology caused by the sink mobility. For efficient facts shipping, nodes need to reconstruct their routes toward the modern-day vicinity of the cellular sink, which undermines the energy conservation aim. on this paper, provided a virtual grid primarily based dynamic routes adjustment scheme that ambitions to decrease the routes reconstruction price of the sensor nodes whilst preserving almost most suitable routes to the cutting-edge vicinity of the mobile sink. Proposed a hard and fast of conversation guidelines that governs the routes reconstruction procedure thereby requiring only a confined quantity of nodes to readjust their statistics transport routes in the direction of the cellular sink. Simulation consequences exhibit reduced routes reconstruction cost and improved network life of the VGDRA scheme with high protection using masking encryption.
Keywords : Energy Efficiency, Wireless Sensor Network, Masking Encryption
[1]	R. C. Shah, S. Roy, S. Jain, and W. Brunette, “Data MULEs: Modeling and analysis of a three-tier architecture for sparse sensor networks,” in Ad Hoc Netw., vol. 1. 2003, pp. 215–233.
[2]	S. R. Gandham, M. Dawande, R. Prakash, and S. Venkatesan, “Energy efficient schemes for wireless sensor networks with multiple mobile base stations,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), vol. 1. Dec. 2003, pp. 377–381.
[3]	A. W. Khan, A. H. Abdullah, M. H. Anisi, and J. I. Bangash, “A comprehensive study of data collection schemes using mobile sinks in wireless sensor networks,” Sensors, vol. 14, no. 2, pp. 2510–2548, 2014.
[4] M. Di Francesco, S. K. Das, and G. Anastasi, “Data collection in wireless sensor networks with mobile elements,” ACM Trans. Sensor Netw., vol. 8, no. 1, pp. 1–31, Aug. 2011.
[5]	W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energyefficient communication protocol for wireless microsensor networks,” in Proc. 33rd Annu. Hawaii Int. Conf. Syst. Sci., Jan. 2000.
Title
:
Schematic Design and Layout of Digital Circuits using CMOS Technology: A Literature Survey
Article Type
:
Reveiw Article
Author Name(s)
:
Sana Ur Rahman, Integral University; Tarana Afrin Chandel ,Integral University
Country
:
India
Research Area
:
VLSI Design
The various digital electronic circuits like Microprocessors, Registers, and Memory modules are using flip flop as a basic unit for providing the proper processing of applications or working. This paper describes in detail about the importance of Flip Flops, and its layout design using CMOS technology. Using CMOS technology we can enhance the speed and reduce power consumption.There is various research works had been carried out throughout the world. Thus in this paper, we are going through various steps as well as looking for various technology details in order to full fill our research work.
Keywords : CMOS Technology, Digital Circuits, Tanner EDA, Flip Flop, Low Power
[1]	CH. DayaSagar and T. Krishna Moorthy, “Design of A Low Power FlipFlop using MTCMOS”International Journal of Computer Applications & information Technology in July 2012.
[2]	Rishikesh V. TambatȦ*and SonalA.LakhotiyaȦ, “Design of Flip-Flops for High Performance VLSI Applications using Deep Submicron CMOS Technology”International Journal of Current Engineering and Technology in April 2014.
[3]	B.Chinnarao, B.Francis&Y.Apparao,”Design of A Low Power Flip-Flop Using CMOS Deep Submicron Technology” Intrnational Journal of Electronics Signals and Systems in 2012.
[4]	Pratiksha Gupta, Dr. Rajesh Mehra,”Low Power Design of SRFlipFlop Using 45nm Technology” IOSR Journal of VLSI and Signal Processing in 2016.
[5]	K.Rajasri, A.Bharathi, M.Manikandan, ”Performance of FlipFlop using 22nm CMOS Technology” International Journal of Innovative Research in Computer and Communication Engineering in 2014.
[6]	Kaphungkui N K ,”Design of low-power, high-performance flip-flops” International Journal of Applied Sciences and Engineering Research in 2014.
Title
:
Relative comparison of Background Subtraction Techniques in Moving Object Detection
Article Type
:
Research Article
Author Name(s)
:
Sagar Pandhare, P.V.P.I.T. Budhgaon, Sangali; Saurabh Karawade ,P.V.P.I.T. Budhgaon, Sangali; Abhishek Powar ,P.V.P.I.T. Budhgaon, Sangali; Prof.D.O.Shirsath ,P.V.P.I.T. Budhgaon, Sangali
Country
:
India
Research Area
:
Image Processing
 Moving object detection is a computer technology that deals with detection non stationary object in digital image & videos. There are many methods used to detect moving object like background subtraction, modified background subtraction, Gaussian mixture model, wavelet based & optical flow based method. The purpose of this paper is to do comparative study between background subtraction and modified background subtraction. The moving object detection method have been implemented using MATLAB and results are compared based on completeness of detected object, noise etc.
Keywords :  Background Subtraction, Background Model, Motion Detection, Object Detection, Video Surveillance, Spatial Color Information, MATLAB.
[1]	“Motion detection based on the combining of the background subtraction and spatial colour information’ Omar ELHarrouss*, Driss Moujahid, Hamid Tairi LIIAN Laboratory, Department of Informatics Faculty of Sciences Dhar-Mahraz University of Sidi Mohamed Ben Abdellah.
[2]	“Moving object detection using background subtraction algorithm”dinesh.p pg scholar, Tagore Institute of Engineering and Technology, Deviyakurichi, India.ISSN: 2393-994X karpagam journal of engineering research (kjer) Volume No.: II, Special Issue on IEEE Sponsored International Conference on Intelligent Systems and Control (ISCO’15).
[3]	A. Manzanera and J.C. Richefeu, A new motion detection algorithmbased on background estimation, Pattern Recognition lat ters, vol.28, pp.320-328, 2007.
[4]	M. Kalpana Chowdary , S. Suparshya Babu , S. Susrutha Babu , Dr. Habibulla Khan‖FPGA Implementation of Moving Object Detection in Frames by Using Background Subtraction Algorithm‖ International conference on Comm.unication and Signal Processing, April 3-5, 2013. C
[5]	Jiebo Luo, Crandall.D. Color Object Detection Using Spatial-Color Joint Probability Functions. IEEE Transcations on Image Processing, pp.1443-1453,2006.
[6]	M. A. Mahraz . J. Riffi and H.Tairi. Motion Estimation using the fast and adaptive bidimensional empirical mode decomposition. J Real-Time Image Proc, DOI 10.1007/s11554-012-0259-4, 2012.
[7]	Lijing Zhang, Yingli Liang “Motion Human Detection Based on Background Subtraction” 2010 Second International workshop on Education Technology and computer science,2010.
Title
:
Fabrication and Analysis of Go-Kart Frame and Steering
Article Type
:
Research Article
Author Name(s)
:
K. Pasupathi, Muthayammal Engineering College; S. Sakthivel ,Muthayammal Engineering College; R. Ramesh ,Muthayammal Engineering College; K. Sivanantham ,Muthayammal Engineering College; P. Ragupathi ,Muthayammal Engineering College
Country
:
India
Research Area
:
Automobile
The report covers all the aspects of the designing and analysis of the final go-kart chassis design. It also covers the material used and the reason of using the material in the go-kart chassis. Apart from this we will also look into the components integrated into the go-kart and the reasons behind it.
Keywords : Chromalloy Aisi 4130, Go-Kart, Chassis, Axle, Stress
[1]	PTC Pro Wildfire 2.0 user’s guide
[2]	Design data handbook Vol I & Vol II, Prof. Lingaih, University College of Engg., Bengaluru.
[3]	Design of Machine Elements – I , Prof. V B K Das
Title
:
An Analysis of Particle Swarm Optimization with Data Clustering- Technique for Optimization in Data Mining
Article Type
:
Research Article
Author Name(s)
:
Anusha Chaudhary, IMSEC
Country
:
India
Research Area
:
Data Clustering
Data clustering is an approach for automatically finding classes, concepts, or groups of patterns. It also aims at representing large datasets by a few number of prototypes or clusters. It brings simplicity in modelling data and plays an important role in the process of knowledge discovery and data mining. Data mining tasks require fast and accurate partitioning of huge datasets, which may come with a variety of attributes or features. This imposes computational requirements on the clustering techniques. Swarm Intelligence (SI) has emerged that meets these requirements and has successfully been applied to a number of real world clustering problems. This paper looks into the use of Particle Swarm Optimization for cluster analysis. The effectiveness of Fuzzy C-means clustering provides enhanced performance and maintains more diversity in the swarm and allows the particles to be robust to trace the changing environment. Data structure identifying from the large scale data has become a very important in the data mining problems. Cluster analysis identifies groups of similar data items in large datasets which is one of its recent beneficiaries. The increasing complexity and large amounts of data in the data sets that have seen data clustering emerge as a popular focus for the application of optimization based techniques. Different optimization techniques have been applied to investigate the optimal solution for clustering problems. This paper also proposes two new approaches using PSO to cluster data. It is shown how PSO can be used to find the centroids of a user specified number of clusters.
Keywords : Particle Swarm Optimization (PSO), Fuzzy C-Means Clustering (FCM), Data Mining, Data Clustering
[1]	R. Eberhart, and J. Kennedy, (1995) A New Optimizer Using Particles Swarm Theory, Proc. Sixth International Symposium on Micro Machine and Human Science (Nagoya, Japan), IEEE Service Center, Piscataway, NJ, pp. 39-43.
[2]	J. Kennedy, and R Eberhart, (1995), Particle Swarm Optimization, IEEE Conference on Neural Networks, pp. 1942-1948, (Perth, Australia), Piscataway, NJ, IV, 1995.
[3]	J. Kennedy and R. Eberhart. Swarm Intelligence. Morgan Kaufmann Publishers, Inc., San Francisco, CA, 2001.
[4]	A. P. Engel Brecht. (2005), Fundamentals of Computational Swarm Intelligence. Wiley, 2005.
[5]	Kennedy, J.; Eberhart, R.C. (1997), A discrete binary version of the particle swarm algorithm, IEEE Conference on Systems, Man, and Cybernetics, 1997.
[6]	M. Fatih Tasgetiren. & Yun-Chia Liang, (2007), A Binary Particle Swarm Optimization Algorithm for Lot Sizing Problem Journal of Economic and Social Research vol 5. Elsevier pp. 1-20.
[7]	Wen-liang Zhong, Jun Zhang, Wei-neng Chen, (2007), A novel discrete particle swarm optimization to solve traveling salesman problem, Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, Singapore, Sept. 2007, pp. 3283-3287.
[8]	J. Sadri, and Ching Y. Suen, (2006), A Genetic Binary Particle Swarm Optimization Model, IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, 2006.
[9]	A.K. Jain, M.N. Murty, P.J. Flynn, Data Clustering: A Review, ACM Computing Surveys, vol. 31(3), 264-323,1999.
[10]	A.K. Jain, R. Duin, J. Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22 (1), 4-37, 2000.
[11]	D. Judd, P. Mckinley, A.K. Jain, Large-scale Parallel Data Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20 (8), 871-876, 1998.
[12]	H.M. Abbas, M.M. Fahmy, Neural Networks for Maximum Likelihood Clustering, Signal Processing, vol. 36(1), 111-126, 1994.
[13]	G.B. Coleman, H.C. Andrews, Image Segmentation by Clustering, Proc. IEEE, vol. 67, 773-785, 1979.
[14]	S. Ray, R.H. Turi, Determination of Number of Clusters in K-Means Clustering and Application in Color Image Segmentation, Proceedings of the 4th International Conference on Advances in Pattern Recognition and Digital Techniques (ICAPRDT'99), Calcutta, India, 137-143, 1999.
[15]	C. Carpineto, G. Romano, A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval, Machine Learning, vol. 24(2), 95- 122, 1996.
[16]	C.-Y. Lee, E.K. Antonsson, Dynamic Partitional Clustering Using Evolution Strategies, In The Third Asia-Pacific Conference on Simulated Evolution and Learning, 2000.
[17]	G. Hamerly, C. Elkan, Learning the K in K-means, 7th Annual Conference on Neural Information Processing Systems, 2003.
[18]	H. Frigui and R. Krishnapuram, A Robust Competitive Clustering Algorithm with Applications in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21(5), 450-465, 1999.
[19]	Y. Leung, J. Zhang, Z. Xu, Clustering by Space-Space Filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22(12), 1396-1410, 2000.-12.
[20]	M. Halkidi, Y. Batistakis, M. Vazirgiannis, On Clustering Validation Techniques, Intelligent Information Systems Journal, Kluwer Pulishers, vol. 17(2-3), 107-145, 2001.-13.
[21]	Mahamed G.H. Omran, Andries P Engelbrecht, and Ayed Salman Dynamic Clustering using Particle Swarm Optimization with Application in Unsupervised
Image Classification PWASET Volume 9 November 2005 ISSN 1307-6884.
Title
:
Modelling, Simulation and Capacity Analysis of Spatial Channel Models in MIMO System
Article Type
:
Research Article
Author Name(s)
:
Nitika Sahni, Green Hills Engineering College, Kumarhatti, Solan(H.P.); Ravikant Sharma ,Green Hills Engineering College, Kumarhatti, Solan(H.P.); Amita Verma ,Green Hills Engineering College, Kumarhatti, Solan(H.P.)
Country
:
India
Research Area
:
Wireless Communication
Future wireless communication systems will utilize the spatial properties of the wireless channel to improve the spectral efficiency and thus increase capacity. This is realized by deploying multiple antennas at both the transmitter and receiver. Due to the unpredictable nature of the wireless channel, a common approach is to model its effects statistically. A few large world-wide co operations, like the third generation partnership project (3GPP) have developed channel models intended for reference and standardization use. These models are partly based on some bulk parameters that describe the characteristics of the channel over larger areas of several wavelengths. Such parameters include shadow fading, angle spread, and delay spread, etc. In the spatial channel model (SCM) these large-scale parameters are assumed independently between separate links, i.e., channel modelling, propagation between different mobile and base stations. This paper focuses on investigation of MIMO system capacity using the Spatial Channel Model (SCM) and Channel Capacity, Spatial Autocorrelation for different channel environments, proposed by standardization bodies (3GPP-3GPP2) for third generation systems. This SCM offers three environments such as suburban macro-cell, urban macro-cell and urban micro-cell parameters are obtained by using MATLAB 7.12.0.
Keywords : SCM, AMPS, FDMA, GPRS
[1]	V.H. McDonald, “The Cellular Concept,” Bell System Tech. J, pp. 15-49, Jan. 1979.
[2]	G. J. Foschini. Layered space-time architecture for wireless communication in fading environments when using multielement antennas. Bell Labs Techn. J., pages 41–59, autumn 1996.
[3]	E. Telatar. “Capacity of multi-antenna Gaussian channels.” European Trans. on Telecomm. ETT, 10(6):585–596, November 1999.
[4]	Emiliano Dall’Anese, Antonio Assalini and Silvano Pupolin, On the Effect of Imperfect Channel Estimation upon the Capacity of Correlated MIMO Fading Channels. 2009 IEEE.
[5]	3rd Generation Partnership Project (3GPP), “Spatial channel model for multiple input multiple output (MIMO) simulations (3gpp tr 25.996 version 6.1.0 release 6),” ETSI, Tech. Rep., 2003.
[6]	J. Salo, G. Del Galdo, J. Salmi, P. Kyosti, M. Milojevic, D. Laselva, and C. Schneider, “MATLAB implementation of the 3GPP Spatial Channel Model (3GPP TR 25.996),” On-line, Jan. 2005, http://www.tkk.fi/Units/Radio/scm/.
[7]	D. Gesbert, M. Shafi, D. shan Shiu, P. J. Smith, and A. Naguib, “From theory to practice: an overview of MIMO space-time coded wireless systems,” IEEE J. Selected Areas Communication, vol. 21, no. 3, pp. 281–302, Apr. 2003.
[8]	M. A. Jensen and J. W. Wallace, “A review of antennas and propagation for MIMO wireless systems,” IEEE Trans. Antennas Propagation, vol. 52, no. 11, pp. 2810–2824, Nov. 2004.
[9]	D.-S. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, “Fading correlation and its effect on the capacity of multielement antenna systems,” IEEE Trans. Commun., vol. 48, issue 3, pp. 502–513, Mar. 2000.
[10]	B. O. Hogstad and M. Patzold, “Capacity studies of MIMO channel models based on the geometrical one-ring scattering model,” in Personal, Indoor and Mobile Radio Communications, 2004. 15th IEEE International Symposium on, vol. 3, no. 5-8, pp. 1613 – 1617, Sep. 2004.
[11]	T. Svantesson and A. Ranheim, “Mutual coupling effects on the capacity of multiple antenna systems,” in Proc. IEEE ICASSP01, vol. 4, pp. 2485–2488, May 2001.
[12]	Wang Jun, Yu Xiaochuan, Yan Qi, Deng Shaoping “Channel Capacity of MIMO Systems under Correlate Fading Environment”. IEEE, 978-1-4244-3709, 2010
[13]	A. Paulraj, R. Nabar, and D. Gore, “Introduction to Space- Time Wireless Communication”. Cambridge, New York, Cambridge University Press, 2005.
[14]	E. Biglieri and G. Taricco, “Transmission and Reception with Multiple Antennas: Theoretical Foundations”, ser. Foundations and trends in communications and information theory. Hanover, MA, Now Publishers, 2004.
[15]	I. E. Telatar, “Capacity of multi antenna gaussian channels,” Office for Official Pub- lications of the European Transactions on Telecommunications, Vol. 10, No. 6, pp. 585-595, Nov/Dec 1999.
[16]	G. J. Foschini, “Layered space time architecture for wireless communication in a fading environment when using multi element antennas,” Bell Labs Technical Journal, pp. 41–59, 1996.
[17]	G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Pers. Comm., vol. 6, no. 3, pp. 311–335, Mar. 1998.
Title
:
Rich Internet Application for Weekly Automatic College Time Table Generation
Article Type
:
Case Study
Author Name(s)
:
Ajinkya Patil, JESITRM COE; Aditya Barge ,JESITRM COE; Minal Shelar ,JESITRM COE; Dushant Sisode ,JESITRM COE
Country
:
India
Research Area
:
Software
The manual system of preparing time table in colleges with large number of students is very time consuming and usually ends up with various classes clashing either at same room or with same teachers having more than one class at a time. These are just due to common human errors which are very difficult to prevent in processes such as these. To overcome these problems people usually taking the previous year’s timetable and modifying it but still it is a tedious job to in cooperate changes. To overcome all these problems we propose to make an automated Application. The Application will take various inputs like details of students, subjects and class rooms and teachers available, depending upon these inputs it will generate a possible time table, making optimal utilization of all resources in a way that will best suit any of constraints or college rules. List of subjects may include electives as well as core subjects. The case is similar to schools and other educational institutions. So our aim is to develop a general purpose which can efficiently generate optimal solutions
Keywords : Genetic Algorithm, Timetable, Constraints, Chromosomes, Mutation, Crossover, Fitness Function
[1]	M. Doulaty, M. R. FeiziDerakhshi, and M. Abdi, “Timetabling: A State-of-the-Art Evolutionary Approach”, International Journal of Machine Learning and Computing,Vol. 3, No. 3, June 2013.
[2]	Anirudha Nanda, Manisha P. Pai, and AbhijeetGole, “An Algorithm to Automatically Generate Schedule for School Lectures Using a Heuristic Approach”, International Journal of Machine Learning and Computing, Vol. 2, No. 4, August 2012
[3]	DilipDatta, Kalyanmoy Deb, Carlos M. Fonseca, “Solving Class Timetabling Problem of IIT Kanpur using Multi-Objective Evolutionary Algorithm”.KanGAL 2005.
[4]	AnujaChowdhary, PriyankaKakde,ShrutiDhoke,SonaliIngle,RupalRushiya, Dinesh Gawande,'Time table Generation System”, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014.
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