iosr-JCE   Volume-17 ~ Issue-1 ~ Jan-Feb 2015

Abstract: This paper presents a novel methodology for designing a fuzzy controller for a dynamically interconnected electric power system. One controller with constant gains for different operating points may not be sufficient to guarantee satisfactory performance for Load Frequency Control. Therefore, the knowledge-based fuzzy controller is proposed either to cope with the operating conditions or to remove any fixed mode. The fuzzy logic control utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed control scheme is applied to a two-area power system provided with both hydraulic and thermal turbines.

Keywords: Fuzzy Logic Control "FLC", Load Frequency Control "LFC". Interconnected Power System "IPS"

[1]. O.L.Elgerd " Electric Energy System Theory-An Introduction" Mc-Hill, New York, 1983
[2]. N.Samul " A Single Area Load Frequency Control; A Comparative Study Based on PI-Optimal and Fuzzy Logic Controllers" American Journal of Scientific & Industrial Research, 2011
[3]. S.K.Vavilala & R.S. Srinivas and M.Suman" Load Frequency Control of Two Area Interconnected System Using Conventional and Intelligent Controllers" Int. Journal of Engineering Research and Applications. 2014
[4]. A. Ike, A. Kulkam, and Dr. Veeresh " Load Frequency Control Using Fuzzy Logic Controller of Two Area Thermal-Thermal Power System" International Journal of Engineering Technology and Advanced Engineering, Vol.2, October 2012
[5]. K. Des, P.Des, and S. Sharma " Load Frequency Control Using Classical Controller in an Isolated Single Area and Two Area Reheat Thermal Power Systems" International Journal of Engineering Technology and Advanced Engineering, Vol.2, March 2012
[6]. K.Yamashita, M.Hirayasu, K. Okafuji and H.Miyagi " A Design Method of Adaptive Load Frequency Control With Dual-Rate Sampling" Int. Journal of Adaptive Control and Signal Processing, Vol.9,No.2, March 1995

Abstract: This paper presents a novel methodology for designing a fuzzy controller for a dynamically interconnected electric power system. One controller with constant gains for different operating points may not be sufficient to guarantee satisfactory performance for Load Frequency Control. Therefore, the knowledge-based fuzzy controller is proposed either to cope with the operating conditions or to remove any fixed mode. The fuzzy logic control utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed control scheme is applied to a two-area power system provided with both hydraulic and thermal turbines.

Keywords: Fuzzy Logic Control "FLC", Load Frequency Control "LFC". Interconnected Power System "IPS"

[1]. O.L.Elgerd " Electric Energy System Theory-An Introduction" Mc-Hill, New York, 1983
[2]. N.Samul " A Single Area Load Frequency Control; A Comparative Study Based on PI-Optimal and Fuzzy Logic Controllers" American Journal of Scientific & Industrial Research, 2011
[3]. S.K.Vavilala & R.S. Srinivas and M.Suman" Load Frequency Control of Two Area Interconnected System Using Conventional and Intelligent Controllers" Int. Journal of Engineering Research and Applications. 2014
[4]. A. Ike, A. Kulkam, and Dr. Veeresh " Load Frequency Control Using Fuzzy Logic Controller of Two Area Thermal-Thermal Power System" International Journal of Engineering Technology and Advanced Engineering, Vol.2, October 2012
[5]. K. Des, P.Des, and S. Sharma " Load Frequency Control Using Classical Controller in an Isolated Single Area and Two Area Reheat Thermal Power Systems" International Journal of Engineering Technology and Advanced Engineering, Vol.2, March 2012
[6]. K.Yamashita, M.Hirayasu, K. Okafuji and H.Miyagi " A Design Method of Adaptive Load Frequency Control With Dual-Rate Sampling" Int. Journal of Adaptive Control and Signal Processing, Vol.9,No.2, March 1995

Abstract: With the movement of population, crimes are showing mobility and professionalism characteristics, the cases which the same suspects committed have the same or similar characteristics, it is helpful to find the related cases. In this article, firstly, analyzes the factors associated with the cases, discusses how to form vector space of Chinese cases, then proposes a method to associate cases by joint use of FKM and Canopy clustering algorithm.

Keywords: related cases, Chinese segmentation, Fuzzy K-Means, Canopy.

[1]. Ning Han, Wei Chen. Research on clustering analysis on related Cases. Journal of Chinese People's Public Security University(Science and Technology), 2012(1):53-58.
[2]. Sean Owen, Robin Anil, Ted Dunning, Ellen Friedman. Mahout in Action[M]. Manning Publication, Westampton.
[3]. Tony H. Grubesic. On The Application of Fuzzy Clustering for Crime Hot Spot Detection[J]. Journal of Quantitative Criminology, 2006,22(1):77-105.
[4]. [Deguang Wang, Baochang Han, Ming Huang. Application of Fuzzy C-Means Clustering Algorithm Based on Particle Swarm Optimization in Computer Forensics. 2012 International Conference on Applied Physics and Industrial Engineering, 1186-1191.
[5]. Gang Liu. Programing Hadoop[M]. BeiJing:China Machine Press, 2014.

Abstract: The methods used for the development of conventional software engineering models cannot be used directly for the development of web based applications. This paper identifies and analyses the various adaptations required in the conventional models to make them applicable for the development of web based applications.

Keywords: Software engineering, Web engineering, software development models, software testing.

[1]. Andrews AA, Offutt J, Alexander RT (2005) Testing Web Applications by Modeling with FSMs. Software Systems and Modeling, 4(2)
[2]. Binder RV (1999) Testing Object-Oriented Systems. Models, Patterns, and Tools. Addison-Wesley: Reading, MA
[3]. Sandeep Kumar Satyaveer Sangwan, Adapting the software engineering process to web engineering process, ISSN (Online) : 2229-6166 ,Volume 2 Issue 1 2011
[4]. Marciniak, J.J. (ed.), 'Process Models in Software Engineering', Encyclopedia of Software Engineering, 2nd Edition, John Wiley and Sons, Inc, New York, December 2001.
[5]. Pressman R.S., 'Software Engineering: A Practitioner's Perspective', 5th ed.,McGraw- Hill, New York, 2000, pp. 769-798.

Abstract: The Data Mining is extricating or mining information from extensive volume of information. Information mining frequently includes the examination of information put away in an information distribution center. This paper examines the three noteworthy information mining calculations: Association, classification and clustering. Classification is the procedure of looking connections between variables in gave database. Clustering comprises of anticipating a certain result focused around given information. Clustering is a procedure of dividing a set of data(or items) into a set of important sub-classes, called clusters. Execution of the 3 techniques is exhibited utilizing WEKA apparatus.

Keyword Terms: Data mining, Weka tools, Association, Classification and clustering algorithms.

[1]. Yuni Xia, Bowei Xi ―Conceptual Clustering Categorical Data with Uncertainty‟ Indiana University – Purdue University Indianapolis Indianapolis, IN 46202, USA.
[2]. Xu R. Survey of clustering algorithms.IEEE Trans. Neural Networks 2005.
[3]. B¨OHM, C., KAILING, K., KRIEGEL, H.-P., AND KR¨OGER, P. 2004. Density connected clustering with local Subspace preferences.In Proceedings of the 4th International Conference on Data Mining (ICDM).
[4]. R. Ng and J. Han. "Efficient and effective clustering method for spatial data mining". In: Proceedings of the 20th VLDB Conference,pages 144-155, Santiago, Chile, 1994.
[5]. Fei Shao, Yanjiao Cao ―A New Real-time Clustering Algorithm Department of Computer Science and Technology, Chongqing University of Technology Chongqing 400050, China.

Abstract: Due to tremendous growth of web applications. It increases the complexity of web applications and web navigation. Designing well-structured website has been long challenge because while creating website web developers understanding of a how website should be structured can be different from that of user's preferences. Such differences result in cases users having difficulty to locate desired information on website. While various methods have been proposed to reorganize Webpages to improve users navigation using users navigation data but it still causes disorienting users and increases user's cognitive load. There is a need to improve the efficiency and the performance of a website for effective user navigation. Recommendations play an important role towards this direction. Our Recommendation is based on user Browsing patterns. Our approach presents a comprehensive overview of web mining methods and techniques used for the evaluation of reconciling systems to achieve better web navigation in order to improve the efficiency of web site. In this Paper we will propose Mathematical programming model to improve user navigation while minimizing alteration to current structure. Using our model it will possible to obtain optimal solution very quickly.

Keywords: clustering,mathematical programming model, mini session, Path threshold, user navigation,web mining

[1]. Min Chen and young U.RYU "Facilitating effective user navigation through website structure improvement "IEEE,Volume 25,pp 571-588,2013.
[2]. Pingdom, "Internet 2009 in Numbers," http://royal.pingdom com/2010/01/22/internet-2009-in-numbers/, 2010.
[3]. T. Nakayama, H. Kato, and Y. Yamane, "Discovering the Gap between Web Site Designers‟ Expectations and Users‟ Behavior," Computer Networks, vol. 33, pp. 811-822, 2000.
[4]. R.Shrikant and Y. Yang"Mining web logs to improve web site organization", ," Proc. 10th Int‟l Conf. World Wide Web, pp. 430-437,2001.
[5]. R. Cooley, B. Mobasher, and J. Srivastava, "Data Preparation for Mining World Wide Web Browsing Patterns," Knowledge and Information Systems, vol. 1, pp. 1-27, 1999.
[6]. B. Mobasher, R. Cooley, and J. Srivastava, "Automatic Personalization Based on Web Usage Mining," Comm. ACM, vol. 43, no. 8, pp. 142-151, 2000.

Abstract: Fiber optics cables offers various advantages of over regular cables when used as data transportation medium in today's communication networks. The River Nile basin countries such as Sudan enjoys vast distances that are travelled by the River Nile, offering a natural path for an underwater cable laying areas. In this study, the potential of laying such cables is investigated with Sudan taken as a case study. The socioeconomic impact analysis will be provided, and potential issues and obstacles will be discussed. Keywords: Communications, Fibers, Network, Optic

[1]. Ankit Gambhir, Merits and demerits of optical fiber communication, International Journal of Research in Engineering & Applied Sciences , Vol. 3, Issue 3, 2013, 99 -104 2012, 112-116.
[2]. Paul, D. ; Greene, K. ; Koepf, Gerhard A. , "Undersea fiber optic cable communications system of the future: Operational, reliability, and systems considerations", IEEE journal of light technology, Volume: 2 , Issue: 4 , 1984 , Page(s): 414 – 425
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[4]. Aditi, Preeti, Submarine Optical Cables as a Key Component in Undersea Telecommunications: A Review, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 1, Issue 4, December 2012, pp 79- 83
[5]. Submarine Cable Map, TeleGeography, "http://www.submarinecablemap.com/#/country/sudan", updated Jan 27, 2015.

Abstract: Cloud computing has reached a certain level of maturity which leads to a defined productive state. With varying amount of computing power present with everyone, it has become necessity of the hour to use cloud computing systems. It helps us to store our data within a virtual cloud structure. When we use the cloud storage mechanism, the computing power gets distributed rather than being centralised. The whole system uses the internet communication to allow linkage between client side and server side services/applications. The service providers may use the cloud platform as a web service platform or a data storage architecture.

[1]. Venkata Karthik Gullapalli and Aishwarya Asesh, Data Trawling and Security Strategies, ISSN – 2278-8727, IOSR Journal of Computer Engineering, Volume 16, Issue 6, Ver. 1, Nov - Dec 2014.
[2]. Z. Lan, V. Varadharajan and M. Hitchens, "Achieving Secure Role-Based Access Control on Encrypted Data in Cloud Storage", Information Forensics and Security, IEEE Transactions on, vol. 8, no. 12, (2013), pp. 1947-1960.
[3]. A. A. Soofi and M. I. K Fazal-e-Amin, "A Review on Data Security in Cloud Computing", International Journal of Computer Applications, vol. 94,no.5,(2014), pp.12-20.
[4]. D. E. Goldberg and J. H. Holland, Genetic Algorithms and machine learning, Guest Editorial, Machine Learning 3: 95-99, 1988 Kluwer Academic Publishers - The Netherlands.
[5]. I. Foster and C. Kesselman (eds). The Grid: Blueprint for a Future Computing Infrastructure. Morgan Kaufmann, San Francisco, USA, 1999.

Abstract:In this paper, an adaptive channel assignment scheme is proposed to ensure the quality of services for the wireless networks. The proposed scheme divides the channels into two categories, the guard channels and the shared channels. The number of guard channels is estimated by the Markovian model in order to keep the handoff calls higher priority. The remaining channels, called shared channels, can be used by both new calls and handoff calls. The proposed scheme based on incoming rates of handoff and new calls allocates channels for guard and shared channels. In addition, this approach is able to provide quality of service guarantee in terms of handoff dropping rate. From the simulation, the proposed scheme significantly improves the dropping rate and the blocking rate in comparison with the existing methods.
Keywords: Channel assignment; Wireless network; Guard channels

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[5]. Kahwa TJ, Georganas ND. A hybrid channel assignment scheme in large-scale cellular-structure mobile communication systems. IEEE Trans Commun 1998;COM-26:432–8.
[6]. Lin YB, Mohan S, Noerpel A. Queueing channel assignment strategies for PCS hand-off and initial access. IEEE PersCommun 1994;3:47–56.

Abstract: Steganography is the process of hiding one file inside another such that others can neither identify the meaning of the embedded object, nor even recognize its existence. In this paper we want to increase the capacity and performance of DCT based steganography by using modified JPEG quantization table embedding technique in frequency domain. Our experimental results show that the proposed method will provide a better result in terms of some evaluation criteria named Peak Signal to noise ratio, square of error between cover & stego image, maximum no of bits that can be embedded in a cover image with a negligible probability of detection by an adversary of steganography system. Our proposed method shows that after modification of frequency values in default JPEG quantization table we can be able to increase the image quality by increasing the value of Peak signal to noise ratio, capacity and also by decreasing mean square error of embedded image.

[1]. C.Y. Yang,―Colour Steganography based on Module Substitutions, Third International Conference on International Information Hiding & Multimedia Signal Processing Year of Publication:2007,ISBN: 0-7695-2994-1.
[2]. Li Xiaoxia, Wang Jianjun. ―A steganographic method based upon JPEG and particle swarm optimization algorithm. Information Sciences, Vol.177, 2007, 3099-3109.
[3]. N. N. EL-Emam, ―Embedding a Large Amount of Information Using High Secure Neural Based Steganography Algorithm,‖ International Journal of Information and Communication Engineering, Vol.4, Issue-2, 2008.
[4]. D.C. Lou and C.H. Sung, ―A Steganographic Scheme for Secure Communications Based on the Chaos and Euler Theorem, IEEE TRANSACTIONS ON MULTIMEDIA, Vol. 6, No. 3, June 2004.
[5]. Li Xiaoxia, Wang Jianjun. ―A steganographic method based upon JPEG and particle swarm optimization algorithm. Information Sciences, Vol.177, 2007, 3099-3109.
[6]. K B Shiva Kumar, K B Raja, R K Chhotaray, Sabyasachi Pattanaik, "Bit Length Replacement Steganography Based on DCT Coefficients," International Journal of Engineering Science and Technology Vol. 2(8), 2010, 3561-3570, 2010.

Abstract: Information and Communication Technology (ICT) provides important overview guidance for designing and implementing education programs that use technology. The principles and indicators are primarily meant to guide program designs, including the development of requests for and subsequent review of proposals, the implementation of program activities, and the development of performance management plans, evaluations, and research studies. Across the past twenty years the use of Information Communication Technology (ICT) has basically changed all forms of endeavor within business, governance and off-course education. ICT has begun to have a presence but unfortunately we are lacking to achieve desired impact.

[1]. Per Bergamin, a presentation on ―Some lessons to learn from the OER-Movement?‖, Online Available: www.ifel.ch.
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[4]. Alexander B.;Web 2.0: A New Wave of Innovation for Teaching and Learning? EDUCAUSE Review, vol. 41, no. 2 (March/April 2006): 32–44, 2006.

Abstract: This paper presents a method using hybridization of self organizing map (SOM ), particle swarm optimization(PSO) and k-means clustering algorithm for document clustering. Document representation is an important step for clustering purposes. The common way of represent a text is bag of words approach. This approach is simple but has two drawbacks viz. synonymy and polysemy which arise because of the ambiguity of the words and the lack of information about the relations between the words. To avoid the drawbacks of bag of words approach words are tagged with senses in WordNet in this paper. Sense tagging of words provide exact senses of words. Feature vectors are generated using sense tagged documents and clustering is carried out using proposed hybrid SOM+PSO+K-means algorithm. In the proposed algorithm initially SOM is applied to the feature vectors to produce the prototypes and then K-means clustering algorithm is applied to cluster the prototypes. Particle Swarm Optimization algorithm is used to find the initial centroid for K-means algorithm. Text documents in Nepali language are used to test the hybrid SOM+PSO+K-means clustering algorithm. Keywords: Computational Intelligence, Sense tagging, Self organization map, Particle swarm optimization.

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[2]. S. Urooj, S. Shams, S. Hussain, F. Adeeba, Sense Tagged CLE Urdu Digest Corpus, Proc. Conf. on Language and Technology, Karachi, 2014
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[7]. A. Roy, S. Sarkar, B. S. Purkayastha, "A Proposed Nepali Synset Entry and Extraction Tool," Proc. 6th Global wordnet conference, Matsue,Japan,2012.

Abstract: Fiber optics cables offers various advantages of over regular cables when used as data transportation medium in today's communication networks. Many African countries such as the Sudan and South Africa large portions of their land connected through railway networks. Remote areas in such countries are scarcely connected to communication networks other than use of mobile phones communications relying on microwave or satellite communications. Such communications are expensive and inefficient. In this study, a proposal to use the railway networks for establishing fiber optic networks for communication purposes to connect remote cities and towns. The socioeconomic impact analysis will be provided, and potential issues and obstacles will be discussed.

Keywords: Communications, Fibers, Network, Optic

[1]. AnkitGambhir, Merits and demerits of optical fiber communication,International Journal of Research in Engineering & Applied Sciences, Vol. 3, Issue 3, 2013, 99 -1042012, 112-116.
[2]. British Rail Telecommunications, http://en.wikipedia.org/wiki/British_Rail_Telecommunications
[3]. RailTel Corporation of India, http://www.railtelindia.com/index.php?option=com_content&view=article&id=119&Itemid=172&lang=en
[4]. Worldbank Data, Rail lines (total route-km), http://data.worldbank.org/indicator/IS.RRS.TOTL.KM
[5]. Institute of Developing Economies Japan External Trade Organization (IDE-JETRO), http://www.ide.go.jp/English/Data/Africa_file/Company/sudan05.html
[6]. Jane Tanner, New Life for Old Railroads; What Better Place to Lay Miles of Fiber Optic Cable, NewYork Times, May 6, 2000,http://www.nytimes.com/2000/05/06/business/new-life-for-old-railroads-what-better-place-to-lay-miles-of-fiber-optic-cable.html

Abstract: Data mining is the phenomenon to extract and recognized the new required pattern or types from the large data seta or data bases and whatever required data is being extracted and separated from large data bases then it is stored and that needs to give some sort of briefing via visualization and its techniques and then it is being recognized it important pattern and analysis identifications. And which is having a very common methodology of displaying the spatial data bases or data sets to search for the required pattern. no doubt its quit typical to search and browse the spatial data bases for human beings to browse and identify from a such huge collection of data bases. There for data mining algorithmic techniques is applied to filter and sort out the spatial data sets as per the requirements .A new web based visualization application is being devolved for supervising of spatial patterns and temporal, Data mining algorithm for sorting and searching from large spatial data sets also being presenting and that algorithm is tested on real time experienced. Hence in this paper a review is being presented on visualization approaches of data mining in large spatial data sets.

Keywords: Data Mining, Data Visualization; Visualization techniques; visual data mining

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