Prachet Bhuyan

KIIT University, School of Computer Engineering, Faculty Member

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Information retrieval using fuzzy c-means clustering and modified vector space model

This paper presents a method to improve the performance of Information Retrieval System (IRS) by ... more This paper presents a method to improve the performance of Information Retrieval System (IRS) by increasing the no of relevant documents retrieved. There are several types of uncertainty and fuzziness associated with IRS like search term uncertainty, relevance uncertainty involved in retrieving of irrelevant documents. The aim of this paper is to eliminate different types of uncertainty and increase the chance of retrieving relevant documents. In the framework a method is proposed which first calculate query and document cluster similarity which not only retrieve the documents matching query terms as well as similar to retrieved documents by calculating the query and cluster similarity. This helps to reduce search term uncertainty and tries to reduce the fuzziness associated with document relevance in two steps. First modification is made in general term frequency-inverse document frequency (tf-idf) scoring mechanism to give importance of informativeness of a document contents and secondly calculating query and document summary overlap. All the above information is used to measure the document relevant score. Finally retrieved documents are filtered by Pearson correlation coefficient between query vector and document vector to find out only those documents correlated with query. In experiment standard NPL test collection prepared by Vaswani and Cameron at the National Physical Laboratory in England was used. After full implementation of above methodology it was found that proposed work is better in comparison with existing methods.

An Agent Based Dynamic Resource Scheduling Model with FCFS-Job Grouping Strategy in Grid Computing

Grid computing is a group of clusters connected over high-speed networks that involves coordinat... more Grid computing is a group of clusters connected over
high-speed networks that involves coordinating and sharing
computational power, data storage and network resources operating across dynamic and geographically dispersed locations. Resource management and job scheduling are critical tasks in grid computing. Resource selection becomes challenging due to heterogeneity and dynamic availability of resources. Job scheduling is a NP-complete problem and different heuristics may be used to reach an optimal or
near optimal solution. This paper proposes a model for resource and job scheduling in dynamic grid environment. The main focus is to maximize the resource utilization and minimize processing time of jobs. Grid resource selection strategy is based on Max Heap Tree (MHT) that best suits for large scale application and root node of MHT is selected for job submission. Job grouping concept is used to maximize resource utilization for scheduling of jobs in grid computing. Proposed resource selection model and job grouping concept are used to enhance scalability, robustness, efficiency and load balancing ability of the grid.

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A Survey of Job Scheduling and Resource Management in Grid Computing

Grid computing is a form of distributed computing that involves coordinating and sharing computat... more Grid computing is a form of distributed computing that involves coordinating and sharing computational power, data storage and network resources across dynamic and geographically dispersed organizations. Scheduling onto the Grid is NP-complete, so there is no best scheduling algorithm for all grid computing systems. An alternative is to select an appropriate scheduling algorithm to use in a given grid environment because of the characteristics of the tasks, machines and network connectivity. Job and resource scheduling is one of the key research area in grid
computing. The goal of scheduling is to achieve highest possible
system throughput and to match the application need with the
available computing resources. Motivation of the survey is to
encourage the amateur researcher in the field of grid computing, so that they can understand easily the concept of scheduling and can contribute in developing more efficient scheduling algorithm. This will benefit interested researchers to carry out further work in this thrust area of research.

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Automated Test Case Generation and Its Optimization for Path Testing Using Genetic Algorithm and Sampling

… Engineering, 2009. ICIE' …, Jan 1, 2009

Software testing is an important activity of the software development process, and automated test... more Software testing is an important activity of the software development process, and automated test case generation contributes to reduce cost and time efforts. In this paper, we have used genetic algorithm to optimize the test cases that are generated using the category-partition and test harness patterns. In order to investigate the effectiveness of the approach, a graph is derived using

First Advisory and Real-Time Health Surveillance to Reduce Maternal Mortality Using Mobile Technology

… Computing and Internet …, Jan 1, 2010

1 Hamaradoc, Centre of Innovation and Entrepreneurship, KIIT University, Bhubaneswar, India 2 Hop... more

A Self Analysing and Reliable SOA Model

ijcset.net

Service Oriented Architecture (SOA) provides a new way of application development by using existi... more Service Oriented Architecture (SOA) provides a new way of application development by using existing services. The required services are collected and loosely composed to meet the user's specification, where the architecture of SOA is dynamic that is, it can change dynamically at run time to meet the new requirements. This paper proposes an architecture which has the capability to analyze the developed services by comparing the user's requirements. Finding a method for testing the accuracy of a service is a challenge always. The architecture provides a unified way of self analysis which evaluates the perfectness of developed service, before its delivery, and to find out its accuracy. This calculated perfectness is stored in the service profile of that service. The database is maintained for each service which helps for searching a required service to meet user's specification and for composition of a new service. When this self analysis of the developed service does not satisfy to meet the user's requirement because of not satisfying any conditions, it generates the fault. Fault is handled to provide the required correctness for composition of the service by detecting the services responsible for those faults. The architecture provides both reliability and analysis capability by handling fault and by searching a service based on accuracy which provides reliable delivery of service.

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