Volume-8 ~ Issue-2
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Paper Type | : | Research Paper |
Title | : | THD Reduction in Multilevel Inverters Using Real-Time Algorithm |
Country | : | India |
Authors | : | Megha Jess Mathew |
: | 10.9790/0661-0820112 | |
Keywords: Multilevel inverter, optimal puisewidth modulation (PWM), power conversion, Total Harmonic Distortion (THD), Digital Signal Processing (DSP).
[1] J. Rodriguez, J.-S. Lai, and F. Z. Peng, ―Multilevel inverters: A survey of topologies, controls, and applications.‖ IEEE Trans. Ind.
Electron., vol. 49, no. 4, pp. 724-738, Aug. 2002.
[2] J. M. Carrasco, L. G. Franquelo, J. T. Bialasiewicz, E. Galvan, R. C. PortilloGuisado, M. A. M. Prats, J. i. Leon, and N. Moreno-
Alfonso, ―Power-electronic systems for the grid integration of renewable energy sources: A survey," IEEE Trans. Ind. Electron., vol.
53, no. 4, pp. 1002-1016, Jun. 2006.
[3] X. Xu, Y. Zou, K. Ding, and F. Liu, ―Cascade multilevel inverter with phase-shift SPWM and its application in STATCOM,‖ in Proc.
IEEE 1ECON, 2004, vol. 2, pp. 1139-1143.
[4] Y. Liang and C. O. Nwankpa, "A new type of STATCOM based on cascading voltage-source inverters with phase-shifted unipolar
SPWM,‖ IEEE Trans. Ind. Appl., vol. 35, no. 5, pp. 1118-1123, Sep/Oct. 1999.
[5] J. Rodriguez, J. Pontt, P. Correa, P. Cortes, and C. Silva, "A new modu-vJ‟lation method to reduce common-mode voltages in multilevel
inverters,‖ IEEE Trans. Ind. Electron., vol. 51, no. 4, pp. 834-839, Aug. 2004.
[6] S. Lakshminarayanan, G. Mondal, P. N. Tekwani, K. K. Mohapatra, Sn*^ and K. Gopakumar, ―Twelve-sided polygonal voltage space
vector based multilevel inverter for an induction motor drive with common-mode voltage elimination,‖ IEEE Trans. Ind. Electron., vol.
54, no. 5, pp. 276i-2768, Oct. 2007.
[7] S. Sirisukprasert, J.-S. Lai, and T.-H. Liu, "Optimum harmonic reduction with a wide range of modulation indexes for multilevel
converters,‖ IEEE Trans. Ind. Electron., vol. 49, no. 4, pp. 875-881, Aug. 2002.
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[9] C. Rech and J. R. Pinheiro, ―Hybrid multilevel converters: Unified analysis and design considerations,‖ IEEE Trans. Ind. Electron., vol.
54, no. 2, pp. 1092-1104, Apr. 2007.
[10] Y. Liu and F. Luo, "Trinary hybrid multilevel inverter used in STATCOM with unbalanced voltages," Proc. Inst. Electr. Eng.—Elect.
Power Appl., vol. 152, no. 5, pp. 1203-1222, Sep. 2005.
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Paper Type | : | Research Paper |
Title | : | RankingFor Web Databases Using SVM and K-Means algorithm |
Country | : | India |
Authors | : | P.Ayyadurai, S.Jayanthi |
: | 10.9790/0661-0821318 | |
Keywords: Automated Ranking, Animation Database, Vehicle and Movie Databases, User similarity, Query similarity, workload.
[1] AdityaTelang, Chengkai Li, and Sharma Chakravarthy. ―One Size Does Not Fit All: Toward User- and Query-Dependent Ranking
for Web Databases; IEEE Transactions On Knowledge And Data Engineering, Vol. 24, No. 9, September 2012.
[2] Alex Penev, Raymond K. Wong; Finding Similar Pages in a Social Tagging Repository;WWW 2008,April 21–25, 2008, Beijing,
China. ACM 978-1-60558-085-2/08/04.
[3] Cynthia Dwork, Ravi Kumar, MoniNaor, D. Sivakumar; Rank Aggregation Methods for the Web;WWW10,May 1-5, 2001, Hong
Kong. ACM 1-58113-348-0/01/0005.
[4] Hwanjo Yu, Youngdae Kim, and SeungwonHwang.RV-SVM: An Efficient Method for Learning Ranking SVM;Korea Research
Foundation Grant funded by the Korean Government(KRF-2008-314-D00483)2009.
[5] KaushikChakrabarti, SurajitChaudhuri, Seung-won Hwang; Automatic Categorization of Query Results;SIGMOD 2004, June 13–
18, 2004, Paris, France.
[6] Marko balabanovic, yoavshoham. Content based, collaborative Recommendation; March 1997/Vol. 40, No. 3 Communication Of
The ACM.
[7] SurajitChadhuri, Gautam Das, VagelisHristidis; Probabilistic Information Retrieval Approach for Ranking of Database Query
Results; ACM Transactions on Database Systems, Vol. 31, No. 3, September 2006, Pages 1134–1168.
[8] SubbaraoKambhampati, Garrett Wolf, Yi Chen, HemalKhatriBhaumikChokshi, Jianchun Fan, UllasNambiar; QUIC: Handling
Query Imprecision & Data Incompleteness; in Autonomous Databases;(http://creativecommons.org/licenses/by/2.5/) CIDR 2007.
[9] Tapas Kanungo, Senior Member, IEEE, David M. Mount, Member, IEEE, Nathan S. Netanyahu, Member, IEEE, Christine D.
Piatko, Ruth Silverman, and Angela; An Efficient C-Means Clustering Algorithm: Analysis and Implementation; IEEE
Transactions On Pattern Analysis And Machine Intelligence, Vol. 24, No. 7, July 2002.
[10] Weifeng Su, Jiying Wang, Qiong Huang, Fred Lochovsky; Query Result Ranking over E-commerce Web Databases; CIKM'06,
November 6–11, 2006, Arlington, VA Virginia, USA.
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Keywords: Brain Computer Interaction (BCI), Electroencephalogram (EEG), Expressions, Emotions.
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Volume 87, pp 268-279, 2012.
[5] Erica Westly, "Fixing the Brain Computer Interface", IEEE Spectrum, July 2010.
[6] Theodore W. Berger, John K. Chapin, Greg Patrick A. Tresco, "Brain-Computer Interfaces-An International Assessment of
Research & Development Trends", Springer, 2008.
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[8] Niels Birbaumer, "Breaking the silence: Brain Computer Interfaces (BCI) for communication and motor control",
Psychophysiology, 43, 517–532, 2006.
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[10] Jorge Baztarrica Ochoa, Gary Garcia Molina, Touradj Ebrahimi, "EEG signal classification for Brain Computer Interface
Applications", 2002.
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Keywords: Wavelets transform, Principle component analysis, Support vector machine, MRI, Brain tumor
[1] M. G. Mostafa and M. F. Tolba, Medical Image Segmentation Using Wavelet Based Multi resolution EM Algorithm, IEEE trans on
Industrial Electronics, Technology and automation, IETA, 2001.
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modeling to vessel segmentation, Medical Image Analysis, pp. 259-274, 2010.
[3] J. H. Kazmi, K. Qureshi, H. Rasheed, An Implementation of SAN Filter and Edge Sharpening Method for MRA images, Malaysian
Journal of Computer Science, 2007.
[4] R. Mishra, MRI based Brain Tumor Detection using Wavelet Packet Feature and Artificial Neural Networks, Department of
computer science India Ghandi Institute of Technology Indraprastha University, Delhi, India, 2010.
[5] E. A. El-Dihshan, T, Hosney, A. B. M. Salem, Hybrid intelligence techniques for MRI Brain images classification, ELSEVIER,
Digital Signal Processing, , Volume 20, pp.433-441, 2010
[6] S. Chaplot, L. M. Patnaik, Classification of magnetic resonance brain images using wavelets as input to support vector machines
and neural networks, Biomedical Signal Processing and Control, pp. 86-92, 2006.
[7] S. Chaplot, L. M. Patnaik, Brain Tumor Diagnosis with wavelets and Support Vector Machine, proceeding of 3rd international
Conference on intelligent Systems and Knowledge Engineering, 2008.
[8] Q. Ain, I. Mehmood, S. M. Naqvi, M. A. Jaffar, Bayesian classification using DCT features for Brain tumor detection, National
University of Computer & Emerging Sciences, FAST Islamabad, 2010.
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International Journal of Computer Applications, vol. 4.no.7, 2010.
[10] A. E. Lashkari, A Neural Network based Method for Brain Abnormality Detection in MR Images Using Zernike Moments and
Geometric moments, International Journal of Computer Applications, vol. 4.no.7, 2010.
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Keywords: Delay tolerant network, Fuzzy logic, Delivery Predictability, Prophet routing protocol, Epidemic routing protocol.
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Networks based on fuzzy logic". IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 1, May 2011.
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[ 8 ] Olaf Wolkenhauer"Fuzzy Inference Engines Composition and Individual-Rule Based Composition, Non-Linear Mappings".
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Paper Type | : | Research Paper |
Title | : | A Review on Snoop with Rerouting in Wired cum Wireless Networks |
Country | : | India |
Authors | : | Rupali Advirkar, Ameya Naik |
: |
10.9790/0661-0823740 | |
Keywords: rerouting, round trip time, Snoop, wired cum wireless networks.
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Keywords: Security, Surveillance, image, data, camera, transmitter, gates
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Keywords: Diverse wireless, routing protocol, proactive protocols, enhance performance, route statbilities, NS-2, DSDV, OLSR, FSR
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