Cognitive radio is a paradigm for wireless communication, in which either a network or a wireless node changes its transmission or reception parameters to communicate efficiently avoiding interference with licensed or unlicensed users. The OFDM based cognitive radio system is used for detection of signals. But in OFDM systems the performance of the signal is greatly affected by narrowband interference signals. In the proposed method Expectation maximization algorithm is used to detect signal even in the uncertainty condition. The literature survey discusses all the existing interference cancellation techniques.
Keywords:-Cognitive radio, interference detection, Nulling mode, OFDM.
People counting is a crucial and challenging problem in visual surveillance. Automatic monitoring of the number of people in public areas is important for safety control and urban planning. For this purpose many techniques and methods have been proposed. These techniques are not producing high performance and better accuracy for complicated scenes counting. Recently Foreground Extraction and Expectation Maximization (EM) based methods are proposed, which provides a better accurate solution for people counting and finding individual location. This literature survey discusses some of the existing methods and their performance.
Keywords - ACC, DDMCMC, HOG, Neural Network, Privacy preserving system.
The integration of vertical axis wind turbines (VAWT) into building designs is an emerging yet growing market that has the potential to establish energy generating facilities inherent within the building structure. Although a VAWT can accept wind from any direction, the placement of turbines in relation to prevailing wind directions when combined with the structural architecture of the building and physical plant equipment such as heating, ventilation and air conditioning units (HVAC) can have a significant impact on turbine generating performance. This project investigates the potential performance improvement that might be obtained by optimal turbine placement for particular structural shapes and demonstrates the need for high resolution wind analysis software to validate placement options. Simulations and scale model field tests are used to identify the potential improvements.
Keywords: Vertical Axis Wind Turbines, Optimal Turbine Placement, High Resolution Wind Analysis, Integrated Wind Energy Production
The main aim of this study is to investigate the interest and attitude of higher secondary school students towards English curriculum in Khargone taluka. In the present research paper the investigator tried to compare the attitude of rural and urban students towards English curriculum. But this results are not the last truth. I hoped that in the suggestions and the results will be helpful for the development of the situation of the English curriculum in the schools in present time.
Keywords:- Interest, Attitude, English Curriculum, secondary school.
[1]. Brahmbhatt, J.C., A Study of Pupa Ration of Language Programmed in English. Data, C., Effect of Maximizing Control Clues. A Pragmatic Study, Ph.D. FLT, CIEFL, 1985.
[2]. "Agarwal, M., A Factorial Study of Attitude of Students towards Some Social Problem, Ph.D Edu. Jammu U., 1984 Setee, E.D and Ross, E.L, (1987)
[3]. Ravindra Nath Tegore "A case Study in Applied Education in rural India" Community Development Journal, 22 (2): 120-129, Oxford University Press.
[4]. NCTE 2007, State Curriculum Framework, Bhopal.
[5]. NCERT, 2005, National Curriculum Framework-2005, New Delhi India.
[6]. Jai Prakash, A comparative Study of Urban, Rural and Tribal Higher Secondary Students of Madhya Pradesh with the Reference to their General Mental Ability and Interest Pattern, Dept. of Pay, Sag. U., 1972 (ICSSR financed)-2
[7]. Joseph, K.S., Enrolling a Strategy for Teaching English Grammar at High School Level, Ph.D. Edu MSU 1983-4
[8]. Kamlesh, A., A comparative Study of Self Concept, Adjustment, Interest and Motivation among the Scheduled Caste and Non Schedule Caste Students. MD. Edu., Kan. O. 1981-3.
This paper deals with the design of a voltage control strategy for DFIG wind turbines. The performance of the represented DFIG protection and control strategy during grid faults is assess and discussed by means of simulation of large DFIG wind farm connected to a power transmission system generic model .
Keywords:- doubly fed wind turbine, grid faults, power system control, voltage control
[1]. "Wind turbines connected to grids with voltages above 100 kV - Technical regulations for the properties and the control of wind turbines,, Energinet.dk, Transmission System Operator of Denmark for Natural Gas and Electricity, Technical Regulations TF 3.2.5, 2004, 35 p. Available: www.energinet.dk
[2]. E.ON. Netzanschlussregeln Hoch-und Hoechst-spannung. 2003, Report ENENARHS2006, April 2006, 46 pages, www.eon-netz.com
[3]. Hansen A.D., Jauch C., Sørensen P., Iov F., Blaabjerg F. Dynamic wind turbine models in power system simulation tool DIgSILENT, Risø-R-1400(EN), 2003.
[4]. Leonhard W. Control of electrical drives, Springer Verlag, 2001, ISBN 3540418202.
[5]. Hansen A.D., Hansen L.H., Wind turbine concepts market penetration over ten years (1995 to 2004),Wind Energy, No. 10, 2007, pp.81-97.
[6]. Hansen A.D., Michalke G., Sørensen P., Lund T., Iov F. Co-ordinated voltage control of DFIG wind turbines in uninterrupted operation during grid faults, Wind Energy, No. 10, 2007, pp. 51-68.
[7]. Hansen A.D., Sørensen P., Iov F., Blaabjerg F. Centralised power control of wind farm with doubly fed induction generators, Renewable Energy, 2006, vol. 31, pp 935-951.
[8]. Akhmatov V., Analysis of dynamic behavior of electric power systems with large amount of wind power, PhD thesis, 2003, Ørsted DTU.
[9]. Heier S. Grid Integration of Wind Energy Conversion Systems,John Wiley&Sons, Ltd. Chichested UK, 1998.
[10]. Hansen A.D., Michalke G., Fault ride-through capability of DFIG wind turbines, Renewable Energy, vol 32, 2007, pp 1594-1610 .
The new generation of condition monitoring and diagnostics systems plays an important role in efficientfunctioning of thermal power plants. Most rotating machine defects can be detected by such a system much before dangeroussituation occurs. It allows the efficient use of stationary on-line continuous monitoring system for condition monitoring anddiagnostics as well. Vibration monitoring for condition monitoring of turbine bearing can reduce expenses of maintenance ofturbo generator in power plant as well as prevent unnecessary shut down of plant, which create the power crisis. Vibrationmonitoring system of turbo generator is based on the vibration signature analysis as well as manual vibration data analysiswith the help of mechanalysis severity chart. The vibration signature as well as manual data is analyzed from twoparameters, namely vibration amplitude (displacement & velocity) of bearing casing and absolute shaft vibration at eachbearing. The object of this paper is to giving brief idea about measuring vibration amplitude (manually as well as vibrationsignature) and analyzing method of data obtained, identification procedure of problems & suggesting a corrective action,associated with unit 3-turbo generator system of super thermal power station. In This paper author also suggested some latesttechniques of vibration monitoring & analysis.
Keywords-vibration ,signature ,amplitude, frequency, load.
[1]. Anand M.M.S. [2004"Electronic Instruments & Instrumentation Technology" Prentic Hall of India private limited PP 29.
[2]. Bandyopadhyay Ashok, Mandal Shyamal Kr. Das, Barnali Pal [2004] "Real time condition Monitoring system using vibration analysis for turbine bearing" speech & signal processing group, ER & DCI Calcutta PP 1-4.
[3]. Bhadury Dr. Bikas & Basu Dr. S.K. [2004] "Reliability Engineering & Maintenance Management" PP 47-51.
[4]. Bhadury Dr. Bikas & Basu Dr. S.K. [2004] "Reliability Engineering & Maintenance Management" PP 223-248.
[5]. CSIO [2005] "Data Acquisition system & Instrumentation" Chandigraph PP 2-10.
[6]. EPRI [2002] "Power Industry vision for predictive Maintenance" Turbine system conference Feb 25-26, 2002 PP 2-7.
[7]. Mechanlysis [2005] "Advanced training manual of IRD 880 for vibration measurement" PPI-37.
[8]. Mechanalysis [2005] "Advanced training manual of IRD 880 for vibration analysis" PP1-3, 86-114.
[9]. Operation Manual 28838 of IRD Mechanlysis Model 880 spectrum analyzer PP- 11.
This paper deals mainly with the performance study and analysis of sending and retrieving an image across Client/Server network. The image that is to be send across the network should be compressed in order to transfer it at a minimal amount of time. Other than that, the image when compressed will suffer loss in the image quality. The main work identified are that efficient retrieval of an image will be made possible using Wavelet transform and various other methods such as Transcoding etc. These methods used above to download an image from a distant location are found to be more efficient in comparison with the other image downloading techniques.
Keywords— 5/3 Wavelet Transform, Significant Mapping, Mosaicking, Refinement Mapping, Transcoding.
[1]. S.A.Hussain , M.I. Razzak , A. A. Minhas, M. Sher, Energy Efficient Image Compression in wireless Sensor Networks International Journal of Recent Trends in Engineering, Vol 2, No. 1, November 2009
[2]. A.E. Gamal, Collaborative Visual Sensor Networks, 2004,
http://mediax.stanford.edu/projects/cvsn.html.
[3]. M. J. Nadenau, J. Reichel, and M. Kunt, ―Wavelet Based Color Image Compression: Exploiting the Contrast Sensitivity Function,‖ IEEE Transactions Image Processing, Vol. 12, no.1, Pp. 58-70, 2003.
[4]. L. Ferrigno, S. Marano, V. Paciello, and A. Pietrosanto, ―Balancing computational and transmission power consumption in wireless image sensor networks‖, IEEE29 International Conference on Virtual Environments, Human- Computer Interfaces, and Measures Systems (VECIMS), Giardini Naxos, Italy, July 2005.
[5]. Min Wu and Chang Wen Chen, ―Multiple bitstream image transmission over wireless sensor networks‖, Proceedings of IEEE Sensors, volume 2, pages 727–731, October 2003.
[6]. Huaming Wu and Alhussein A. Abouzeid, ―Energy efficient distributed JPEG2000 image compression in multi hop wireless networks‖, 4th Workshop on Applications and Services in Wireless Networks (ASWN 2004), pages 152–160, August 2004.
[7]. H.M. Wu, A.A. Abused, Energy, ―efficient distributed image compression in resource constrained multichip wireless networks‖, Computer Communication (Elsevier) 28 (14) (2005) 1658–1668.
[8]. R. Wagner, R. Nowak, and R. Baraniuk.―Distributed image compression for sensor networks using correspondence analysis and super-resolution‖, Proceedings of IEEE International Conference on Image Processing (ICIP), volume 1, pages 597–600, September 2003.
[9]. N. Boulgouris and M. Strintzis. ―A family of wavelet-based stereo image coders‖. IEEE Transactions on Circuits and Systems for Video Technology, 12(10):898–203, October 2002.
[10]. A. Wang. A. Chandrakasan, ―Energy efficient system partitioning for distributed wireless sensor networks‖, Proceedings of the International Conference on Acoustics, Speech, and Signal processing (ICASSP-2001), Salt Lake City, Utah, 2001.
Geotextiles have been successfully used for reinforcement of soils to improve the bearing capacity. In this study geotextile as a tensional material have been used for reinforcement of granular soils. Laboratory California Bearing Ratio (CBR) tests were performed to investigate the load-penetration behavior of reinforced soils with geotextile. Samples of granular soil are selected and tested without reinforcement. Then CBR tests were performed by placing geotextile in one or two layers at various depths in soil sample. The effect of the number of geotextile on the increase in bearing capacity of reinforced granular soil is discussed.
Keywords –– CBR, Geotextile, permeability, reinforcement, subbase.
[1]. S. A. Naeini and M. Mirzakhanlari "The Effect of Geotextile and Grading on the Bearing Ratio of Granular Soils" EJGE Volume 13
[2]. Gomaa K. M. Moussa Transportation Dept., Faculty of Eng., Alexandria University, Alexandria, Egypt "The optimum location of geotextile reinforcement In asphalt layers" Alexandria Engineering Journal, Vol. 42 (2003), No. 1, 103-110
[3]. Gregory S. Cleveland Bituminous Engineer Texas Department of Transportation "Geosynthetics in flexible and rigid pavement Overlay systems to reduce reflection Cracking" October 2002 Texas Transportation Institute.
[4]. Guidelines for 1993 AASHTO pavement design. Revised – May 2003.
[5]. S. S. Bhosale; Bharat R. Kambale "Laboratory Study for Evaluation of Membrane Effect of Geotextile in Unpaved Road" The 12th International Conference of International Association for Computer Methods and Advances in Geomechanics (IACMAG) 1-6
[6]. Fannin, R.J., O. Sigurdsson (1996) "Field observations on stabilization of unpaved roads with geosynthetics" ASCE Journal of Geotechnical Engineering 122 (7), 544–553.
Because of recent environmental issues, national fuel efficiency regulations are being strengthened and the market demand for high efficiency vehicle is increasing. In order to improve the fuel efficiency, it is needed to improve the efficiency of the combustion engine or to reduce the losses. Brushless dc (BLDC) motor has a number of advantages such as high efficiency, high power factor, and low maintenance cost. The motor for automotive applications should be made compact and increasing the efficiency causing limited automotive volume. However it is difficult to control precisely BLDC motors with hall sensors. Because it is difficult for the hall sensors to be positioned exactly 120 electrical degrees apart. BLDC control with unbalanced hall sensors cause the current ripple and torque ripple. Sensor-less configuration may be inappropriate for all automotive applications, because of the slow response speed and difficult operating at low speed. This paper deals primarily with the design aspects of the permanent magnet brushless dc motor and method of measuring rotor position using hall sensors.
Keywords – brushless dc (BLDC) motor, inverter, hall sensor, position estimation
[1] M. Zeraoulia, M. E. H. Benbouzid, and D.Diallo, Electric Motor Drive Selection Issues for HEV Propulsion Systems: A Comparative Study, Vehicular Technology, IEEE Trans. on, vol. 55, Issue 6, 2006, 1756-1764.
[2] T.J.E. Miller, and Hendershot, Design of Brushless Permanent-Magnet Motors, Magna Physics publishing and Clarendon Press, Oxford, 1994
[3] Richard Valentine, Motor Control Electronics Handbook (McGrow-Hill Handbook, 1998).
[4] Kwanghee Nam, AC Motor Control and Electric Vehicle Applications (CRC Press, 2010).
[5] P. C. Krause, O. Wasynczuk, and S. D. Sudhoff, Analysis of Electric Machinery and Drive Systems (IEEE Press, Piscataway, NJ, 2002).
[6] S. D. Sudhoff, and P. C. Krause, Operating modes of the brushless DC motor with a 120º inverter, IEEE Trans. Energy Conversion, Vol. 5, No. 3, 1990, 558-564.
[7] Alaeinovin. P., Chiniforoosh. S, and Jatskevich. J, Evaluating misalignment of hall sensors in brushless DC motors, IEEE Elctric Power Conference, 2008, 1-6.
[8] Alaeinovin. P., and Jatskevich. J, Filtering of Hall-Sensor Signals for Improved Operation of Brushless DC Motors, IEEE Trans. Energy Conversion, Vol. PP, Issue 99, 2012, 1-3.
[9] Alaeinovin. P., and Jatskevich. J, Hall-sensor signals filtering for Improved Operation of Brushless DC Motors, IEEE ISIE, 2011, 613-618.
[10] Samoylenko. N, Qiang Han, and Jatskevich. J, Dynamic Performance of Brushless DC Motors With Unbalanced Hall Sensors, IEEE Trans. Energy Conversion, Vol. 23, Issue 3, 2008, 752-763.
Data mining discovers hidden pattern in data sets and association between the patterns. In this association rule mining is one of the technique used to achieve the objective of data mining. These rules are effectively used to uncover unknown relationships producing result that can give us a basis for forecasting and decision making. To discover these rules we have to find out the frequent item sets because these item sets are the building blocks to obtain Association rules with a given confidence and support. In this paper we theoretical analyses the extraction for frequent item sets and compare these algorithm.
Keywords –association rule mining, confidence, Data mining, frequent item sets, pattern, support.
[1]. C.Borgelt. Efficient Implementations of Apriori and Eclat. Proc. 1st IEEE ICDM Workshop on Frequent Item Set
Mining Implementations (FIMI 2003, Melbourne, FL).CEUR Workshop Proceedings 90, Aachen, Germany 2003.
[2]. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A.I. Verkamo. Fast discovery of association rules. In U.M.
Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data
Mining, pages 307–328. MIT Press, 1996.
Literature Survey on Various Frequent Pattern Mining Algorithm
www.iosrjen.org 64 | P a g e
[3]. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. NewAlgorithms for Fast Discovery of Association Rules. Proc. 3rd Int. Conf. on Knowledge Discovery and Data Mining (KDD'97), 283–296. AAAI Press, Menlo Park, CA, USA 1997.
[4]. C. Borgelt. SaM: Simple Algorithms for Frequent Item Set Mining. IFSA/EUSFLAT 2009 conference- 2009.
[5]. J. Han, and M. Kamber, 2000. Data Mining Concepts and Techniques. Morgan Kanufmann.
[6]. Dr. M. Dhanabhakyam , Dr. M. Punithavalli, A survey on Data mining algorithm for market basket analysis. Global Journal of Computer Science and Technology (Volume 11 Issue 11 Version 1.0 July 2011 Type: Double Blind Peer Reviewed International Research Journal) Publisher: Global Journals Inc. (USA).
[7]. http://datawarehousingtips.blogspot.in/2009/01/ data-mining-intro.html.
[8]. Klong Luang, Pathumthani Application of a Mining Algorithm to Finding Frequent Patterns in a Text Corpus: A Case Study of the Arabic International Journal of Software Engineering and Its Applications (Vol. 6, No. 3, July, 2012).
[9]. K.Lakshmi, Dr. T. Meyyappan., FREQUENT SUBGRAPH MINING ALGORITHMS - A SURVEY AND FRAMEWORK FOR CLASSIFICATION.
[10]. Byung Joon Park, Sang Young Kim, and Lynn Choi , Efficient Frequent Pattern Mining Based on a Condensed Tree Structure .
Motion planning[1] is a fundamental problem in robotics and also arises in other applications including navigation, simultaneous localization and mapping (SLAM)[2], animation etc., in the motion planning normally using many techniques and algorithms. In this paper for path planning using a novel path planning algorithm called as Dijkstra's iteration (D*) inspired by the witkowski's algorithm based on a two dimensional grid map of the Static environment designed in mat lab using bioinformatics tools.
Keywords - Graph search, Mat lab, Mobile robotics, path planning, shortest path,
[1]. J. Latombe, Robot Motion Planning, Kluwer Academic Publishers, Dodrecht, Netherlands, 1991.
[2]. H. Choset and K. Nagatani. Topological simultaneous localization and mapping (slam): Toward exact localization without explicit localization. IEEE Transactions on Robotics and Automation, April 2001.
[3]. J. Crowley. Navigation for an intelligent mobile robot. IEEE Journal of Robotics and Automation, March 1985.
[4]. D. Ferguson and A. Stentz. Field D*: An interpolation-based path planner and replanner. In Proceedings of the International Symposium on Robotics Research, October 2005.
[5]. Felipe Haro and Miguel Torres. A comparison of path planning algorithms for omnidirectional robots in dynamic environments. Robotics Symposium, 2006. LARS '06. IEEE3rd Latin American, October 2006.
[6]. Peter E. Hart, Nils J. Nilsson, and Bertram Raphael. Correction to "A formal basis for the heuristic determination of minimum cost paths". SIGART Newsletter, December 1972.
[7]. S. Koenig and M. Likhachev. D* Lite. In AAAI Conference of Artificial Intelligence, 2002.
[8]. S. LaValle. Planning Algorithms. The Cambridge University Press, 2006.
[9]. A. Stentz. The focused D* algorithm for real-time replanning. In Proceedings of the International Joint Conference on Artificial Intelligence, August 1995.
[10]. S. Koenig, M. Likhachev, Fast replanning for navigation in unknown terrain, IEEE Transactions on Robotics 21 (3) (2005) 354–363.
In this paper, we introduce a new class of sets called supra - locally closed sets and new class of maps called supra -locally continuous functions. Furthermore, we obtain some of their properties.
Keywords: - S--LC sets, S--LC* sets, S--LC** sets, S--L-continuous and S--L-irresolute.
[1]. O. Njastad, On some classes of nearly open sets, Pacific. J. Math., 15 (1965), 961-970.
[2]. N. Bourbaki, General Topology, Part 1, Addison-Wesley (Reading, Mass,1966)
[3]. K Balachandran, P Sundaram and H Maki. Generalized locally closed sets and GLC-continuous functions, Indian J. Pure Appl. Math., 27 (3) (1996), 235-244.
[4]. Y. Gnanambal and K. Balachandran, β-closed sets and β- LC-continuous functions, Mem. Fac. Sci. Kochi Univ. Math., (19) (1998), 35-44.
[5]. A S Mashhour, A A Allam, F S Mahmond and F H Khedr. On Supra topological spaces, Indian J.Pure and Appl. Math.,14(4) (1983), 502-610.
[6]. O. Ravi, G. Ramkumar and M. Kamaraj, On supra β-open sets and supra β-continuity on topological spaces proceed, National seminar held at sivakasi, India, (2011), 22-31.
[7]. S. Dayana Mary and N. Nagaveni, Decomposition of generalized closed sets in supra topological spaces, International Journal of Computer Application, Aug 2012, Accepted.
[8]. S. Dayana Mary and N. Nagaveni, On decomposition of regular generalized continuity in supra topological spaces, Asian Journal of Current Engineering and Maths, Aug 2012, Accepted.
[9]. O R Sayed and T Noiri. On supra b-open sets and supra b-continuity on topological spaces, European J. Pure and Appl. Math., 3(2) (2010), 295-302.
[10]. R. Devi, S. Sampathkumar and M. Caldas, On supra α-open sets and Sα - continuous functions, General Mathematics,16(2) (2008), 77-84.
[11]. M. Kamaraj, G. Ramkumar and O. Ravi, On Supra quotient mappings, International Journal of Mathematical Archive, 3 (1) (2012), 245-252.
Ensuring Data Quality for an enterprise data repository various data quality tools are used that focus on this issue. The scope of these tools is moving from specific applications to a more global perspective so as to ensure data quality at every level. A more organized framework is needed to help managers to choose these tools so that that the data repositories or data warehouses could be maintained in a very efficient way. Data quality tools are used in data warehousing to ready the data and ensure that clean data populates the warehouse, thus enhancing usability of the warehouse. This research focuses on the on the various data quality tools which have been used and implemented successfully in the preparation of examination data of University of Kashmir for the preparation of results. This paper also proposes the mapping of data quality tools with the process which are involved for efficient data migration to data warehouse.
[1] "Toxic Data", Haggerty, N., DM Review Magazine, June 1998
[2] "DataWarehouse Implementation of Examination Databases" MA Butt, SMK Quadri, M Zaman, International Journal of Computer Applications 44 (5), 18-23, 2012
[3] Horowitz, A. (1998). "Ensuring the Integrity of Your Data", Beyond Computing, May1998
[4] "Star Schema Implementation for Automation of Examination Records", International , Conference on Computer Science, Computer Engineering and Applied Computing Las Vegas, USA, July 16-19, 2012 ISBN 1-60132-050-7O'
[5] Neill, P. (1998). "It's a Dirty Job: Cleaning Data in the Warehouse", Gartner Group,January 12, 1998
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