iosr-JCE   Volume-8 ~ Issue-3

Abstract:Web hotspot is considered as a serious problem in case of distributed systems. When the load in a website is suddenly increases, the situation is termed as web hotspot. This kind of situation can seriously degrade the performance of the website. One of the well known for this problem is DotSlash autonomic rescue system. In this paper we are trying to realize this web hotspot problem in a distributed system environment. Basically we need to distribute the load efficiently in various nodes so that the critical period can be handled. A cluster based approach is taken where the concept of content replication is used for efficient load distribution. Then a genetic algorithm based approach is proposed where we introduce a fitness function to find the best solution among a no of solutions (i.e. the nodes) with an aim to reduce delay and to increase the throughput.
Keywords: Autonomic resource computing, distributed system, Clustering, DotSlash rescue system, Genetic algorithm, Web hotspot..

[1] Jeffrey O. Kephart & David M. Chess, "The Vision of Autonomic Computing ", IBM Thomas J. Watson Research Centre
,Published IEEE Computer Society, 2003.
[2] Julie A. McCann, Markus Huebscher, "Evaluation issues in Autonomic Computing", Department Of Computing, Imperial College,
London.
[3] Weibin Zhao, "Towards Autonomic Computing: Service Discovery and Web Hotspot Rescue", COLUMBIA UNIVERSITY, 2006.
[4] Zoran Constantinescu, "Towards an Autonomic Distributed Computing System", Norwegian University of Science and
Technology, Norway, 2003.
[5] S.Ayyasamy1 and S.N. Sivanandam, "Cluster Based Replication Architecture for Load Balancing in Peer-to-Peer Content
Distribution", International Journal of Computer Networks & Communications (IJCNC) Vol.2, No.5, September 2010.
[6] Stephanos, Routsellis-Theotokis and Diomidis Spinellis, "A Survey of Peer-to-Peer Content Distribution Technologies", ACM
Computing Surveys, Vol. 36, No. 4, December 2004, pp. 335–371.
[7] Y. Jayanta Singh , Yumnam Somananda Singh, Ashok Gaikwad and S.C. Mehrotra, "Dynamic management of transactions in
distributed real-time processing system", International journal of Database Management system (IJDMS), Vol.2,No.2,May 2010.
[8] Vinay Harsora and .Apurva Shah, "A Modified GeneticAlgorithm for Process Scheduling in Distributed System", IJCA Special
Issue on "Artificial Intelligence Techniques - Novel Approaches & Practical Applications" AIT, 2011.
[9] Brighten Godfrey Karthik Lakshminarayanan Sonesh Surana Richard Karp Ion Stoica, "Load Balancing in Dynamic Structured
P2P Systems", IEEE INFOCOM 2004.

Abstract:After several years of research in learning, education and the reactions of cognitive psychology to this research, educational psychologists and training designers developed prescriptive model for the systematic design of instruction (Derry and lesgold, 1994). This model, called Instructional Design (ID) or Instructional System Design (ISD), consists of knowledge, terminology and procedures that are widely accepted by professionals within the instructional design culture (Dick and Carey, 1990; Gagne and Merrill, 1990). Maximizing the learner motivation should be a major aim in instructional design. In this research article, a motivational theory (Eggen and Kauchak, 1999) and an ISD process (Morrison, 2010, 28) is discussed and few suggestions are furnished in the CBL environment instructions design.
Keywords: CBL; motivation; instruction design; Maslow; ADDI.

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Advanced Placement Exams. (College Board Research Report No. 2002-12). New York: The College Board.

Abstract:Software development is an intense collaborative process where success depends on the ability to create, share and integrate information. Given the trend towards globalization in the software development industry, the complexity of distributed systems has increased, which needs a systematic approach to the development of distributed systems very important. This paper introduces taxonomy of software engineering tools for distributed projects and presents collaborative development environments, ranging from classic platforms for dispersed developers in open source software projects to modern environments for flexible and distributed processes. It eases the distributed system development, increases the portability of the software and improves the system maintenance and reliability.
Keywords: Distributed software development, Software Process, Computer-Aided Software Engineering Tools, collaborative development environments, Distributed Software Project Management, Tools integration.

[1] S. Larsen, ―Evaluation of Software Modeling Tools for Agile and Industrial Process,‖ Dept. Computer and Information Science,
Norwegian Univ. Science and Technology, 2006; www.idi.ntnu.no/grupper/su/fordypningsprosjekt-2006/larsen-fordyp06.pdf.
[2] J. Portillo Rodríguez, C. Ebert, and A. Vizcaíno, ―Tools and Technologies for Distributed Teams,‖ IEEE Software, vol. 27, no. 4,
2010, pp. 10–14.
[3] C. Ebert, Global Software Engineering: Distributed Development, Outsourcing, and Supplier Management, Wiley/IEEE CS Press,
to be published in 2011.
[4] ―Software & Systems Process Engineering Meta-Model Specification (SPEM), Version 2.0,‖ Object Management Group, 2008;
www.omg.org/spec/SPEM/2.0/PDF.
[5] ―Business Process Model and Notation (BPMN), Version 2.0, Beta 2,‖ Object Management Group, 2010; www.omg.org/cgibin/
doc?dtc/10-06-04.pdf.
[6] V. Nikulsins and O. Nikiforova, ―Tool Integration to Support SPEM Transformations in Eclipse,‖ Scientific J. Riga Tech. Univ.,
vol. 45, 2010, pp. 60–67; https://ortus.rtu.lv/science/en/publications/8640/fulltext.

Abstract:Expert systems are recent product of artificial intelligence. It is a set of programs that manipulate encoded knowledge to solve problems in a specialized domain. Diabetes is a chronic illness that requires continuous medical care in patient self management education to prevent acute complications. Gestational diabetes mellitus (GDM) is a type of Diabetes present in around 3-4% of all pregnancies. This paper proposes a methodology to identify the GDM in pregnant women. Researchers contributed their work in diagnosing the diabetes mellitus. Our proposed work focuses on modeling an expert system to diagnose GDM using Feed forward Neural Network architecture.
Keywords: Expert systems, Diabetes, Diagnosis, GDM, OGTT, and Feed forward Neural Network

[1] [1].K.Rajeswari,V.Vathianathan,D.Gurumoorthy "Modeling Effective Diagnosis of Risk Complications in Type 2 Diabetes – A
Predictive model for Indian Situation" a paper published in European journal of Scientific Research ISSN 1450-216X Vol.54 No.1
(2011), pp.147-158
[2] [2]. Prof.Sumathy,Prof.Mythili,Dr.Praveen Kumar,Jishnujit TM,K.Ranjith Kumar " Diagnosis of Diabetes Mellitus based on Risk
Factors" a paper published in IJCA,Vol.10,N0-4,Nov 2010.
[3] [3].Dr.Vijay Viswanathan,Dr.M.Parthiban "Gestational Diabetes & Devices in DM"
[4] [4] Sreedevi E,Vijaya Lakshmi K, Chaitanya Krishna E, and Padmavathamma M. "Modelling effective diagnosis of risk
complications in gestational diabetes mellitus: an e-diabetic expert system for pregnant women" published SPIE Proc. SPIE 8334,
833437 (2012)
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[6] [6] Dan.W.Patterson "Introduction to Artificial Intelligence & Expert Systems"
[7] [7] Siti Farhanah Bt Jaafar and Dannawaty Mohd Ali, "Diabetes mellitus forecast using artificial neural networks", Asian
conference of paramedical research proceedings, 5-7, September, 2005, Kuala Lumpur, MALAYSIA
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systems, man and cybernetics 2010.
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diabetes mellitus", IEEE transaction on
[10] information technology in Biomedicine, Vol. 14, No. 4, July 2010

Abstract:To implement any face recognition system, robust face representation and face image normalization is of vital importance. The performance of any face recognition system can greatly be affected by the poor performance of registration technique. 3D face recognition methodology has proved as most successful modality. This proposed approach is novel approach and used for subdividing the face into four face-stripes. This technique is based on leo-nardo-da-vinci's golden rule. The 3D face image is represented by modality which represents 2D information using depth map. To develop expression invariant face recognition system the face need to be subdivided into four regions so that the four major parts of face should be separated. The proposed approach had succeeded to present robust results, and insures improved performance of face recognition system.
Keywords: Face recognition, Normalization, Golden rule.

[1] Jefferson Y: Facial beauty: establishing a universal standard. International Journal of Orthodontics 2004, 15:9-22.
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Journal of Orthodontics and Dentofacial Orthopedics 130(3),2006, 277–282
[3] Yasmina Andreu and Ram´on A. Mollineda,On the Complementarity of Face Parts for Gender Recognition, CIARP 2008, LNCS
5197, pp. 252–260, 2008., Springer-Verlag Berlin Heidelberg 2008
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on Pattern Analysis and Machine Intelligence, 2006.
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Science and Applications (IJCSA)

Abstract:In this paper we present a novel approach for matching simultaneous latent fingerprint to plain fingerprint. In the experiment, we tested 160 simultaneous latent print images that are equal to 10 classes from 240 simultaneous impressions in the IIITD SLF Database and match them with a gallery of optical slap fingerprints. The Gallery of Optical is used as references to the accuracy of matching latent fingerprint to optical fingerprint. The experiment results demonstrate that the proposed method with some improvement to the matching score, FRR percentage, sensitivity and the specificity.
Keywords: Matching, simultaneous latent fingerprint, matching score.

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Abstract:Nowadays, due to modern and lavish lifestyles people prefer their own vehicles while going anywhere, resulting in increased traffic congestion and parking problems. In this paper, we propose and present a completely automated system AUTOPARK that will solve the parking issues without any human intervention. The system will comprise of an infrastructure based wired sensor network with sensors placed at each parking slot to detect the occupancy of the parking slots. It also comprises of an automated voice enabled system for guiding vehicles to the available vacant slots by giving directions. The system also enables security and takes into consideration the prevention of theft of vehicles, for this purpose we incorporate face detection and number plate recognition modules so that a track record can be maintained. In case of any mishap or unidentified car or person, communication can be made with base station for immediate human assistance. The paper further discusses design model, the architectural layout and methodology used to build AUTOPARK. It concludes with system evaluation and efficiency analysis of the system.
Keywords: Face Detection, Number plate recognition, Pressure sensor, Text-to-Speech, Ultrasonic Sensor

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