Devising a scheme for allocation of research grant is a challenging task. In this paper, we discuss how one can compute the research grant to be allocated to either a faculty member or a research student. Our scheme m...
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Devising a scheme for allocation of research grant is a challenging task. In this paper, we discuss how one can compute the research grant to be allocated to either a faculty member or a research student. Our scheme makes weighted incentives to compute the meritocratic portion of the research grant. The weights are computed using the number of earned points of a contender which are based on the impact factors of the journals where the research papers of the contender are published. Our scheme adopts an approach which is a combination of equitable and meritocratic schemes.
Human-Computer Interaction (HCI) using intelligent artificial computing interface is a fast emerging and revolutionary field of study of computer vision. This present study is concerned with making computers responsiv...
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Human-Computer Interaction (HCI) using intelligent artificial computing interface is a fast emerging and revolutionary field of study of computer vision. This present study is concerned with making computers responsive to human gestures and postures. In this paper a simple alternative method for hand gesture recognition system has been proposed. The system takes various fingers postures and try to recognize them using machine learning. A pattern of gestures is trained and tested to show the results using linear artificial neural network.
The resources management in a gridcomputing is a complicated problem. Scheduling algorithms play important role in the parallel distributedcomputing systems for scheduling jobs, and dispatching them to appropriate r...
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The resources management in a gridcomputing is a complicated problem. Scheduling algorithms play important role in the parallel distributedcomputing systems for scheduling jobs, and dispatching them to appropriate resources. An efficient task scheduling algorithm is needed to reduce the total Time and Cost for job execution and improve the Load balancing between resources in the grid. In gridcomputing, load balancing is a technique to distribute workload fairly across computational resources, in order to obtain optimal resource utilization with minimum response time, and avoid overload. Load balancing is a crucial problem to gridcomputing. In this paper, we address scheduling problem of independent tasks in the market-based grid. In market grids, resource providers can request payment from users based on the amount of computational resource that used by them. Beside we consider Makespan and Load balancing. In this paper, NSGA II with Fuzzy Adaptive Mutation Operator is used to address independent task assignments problems in parallel distributedcomputing systems. Results obtained proved that our innovative algorithm converges to Pareto-optimal solutions faster and with more quality.
Searching data efficiently in distributed applications like peer-to-peer system is a challenging task due to the random distribution of data among several participating nodes. Efficient data structures are designed an...
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Searching data efficiently in distributed applications like peer-to-peer system is a challenging task due to the random distribution of data among several participating nodes. Efficient data structures are designed and implemented to reduce the complexity of data searching in such an environment. In this paper a data structure called deterministic 1-2 skip list has been proposed as a solution for search problems in distributed environment. The data structure has three main operations viz. search, insert, and delete. The detailed description of the insertion, deletion and search operations are given in this paper. It is found that the message complexity of the insertion, deletion and search algorithm is O(log n) where n is the total number of nodes in the skip-list.
An intrusion detection system has the ability to detect known as well as unknown attacks. Conventionally, IDS uses association rules and simple partitioning scheme to handle quantitative data. Fuzzy partitioning schem...
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An intrusion detection system has the ability to detect known as well as unknown attacks. Conventionally, IDS uses association rules and simple partitioning scheme to handle quantitative data. Fuzzy partitioning scheme found to overcome the problem of vagueness of boundary and association rules are also replaced with fuzzy class association rules. Evolutionary algorithms do global search in order to discover new interesting classification rules. GNP is found better than other evolutionary algorithms due to its structure. This paper describes how evolutionary computing technologies are better to build a classifier with minimum number of class association rules and maximizing accuracy of classified patterns in intrusion detection problem.
Human-computer interfacing plays an imperative role for the development of assistive technology. In this paper, we present a simple yet novel system that utilizes electro- oculogram signals for interactive innovation....
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Human-computer interfacing plays an imperative role for the development of assistive technology. In this paper, we present a simple yet novel system that utilizes electro- oculogram signals for interactive innovation. The system intends to provide rehabilitation to the people with severe disability, especially individuals suffering from various neural disorders. In addition, the wireless transmission module makes the system robust for the real time implementation. The pilot experimental study demonstrates its potential applications in not only clinics but also in real-time prosthesis control.
computing using parallel programming techniques running on High Performance computing Clusters (HPCC) has become very popular for scientific applications. Evaluation of cluster performance is carried out in many diffe...
computing using parallel programming techniques running on High Performance computing Clusters (HPCC) has become very popular for scientific applications. Evaluation of cluster performance is carried out in many different ways. Memory, interconnect bandwidth, number of cores per processor/ node and job complexity are the major parameters which affect and govern the peak computing power delivered by HPCC. In this paper we carried out experiments using High Performance Linpack (HPL) to analyze effect of job distribution among cores on same processor and among cores on distributed processors. Certain runs of HPL have also been carried out to understand effect of interconnect used for building the cluster. The distributed nature of the HPC cluster using InfiniBand interconnect has been analyzed. Results are represented in form of graphs and corresponding analysis is also included in the paper.
In this paper, we propose a modified form of the hybrid gateway discovery in integrated Internet-MANET. A modified hybrid gateway discovery approach is called an adaptive gateway discovery mechanism. Three issues are ...
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In this paper, we propose a modified form of the hybrid gateway discovery in integrated Internet-MANET. A modified hybrid gateway discovery approach is called an adaptive gateway discovery mechanism. Three issues are considered together in the proposed adaptive gateway discovery: the load balancing in routing of packets, the range, and periodicity of a gateway advertisement message. We address these three issues by making use of existing approaches. Based on simulation studies, we show that our approach gives better results than the existing approach.
Task scheduling is the challenging issues of parallel Processing. Optimal scheduling can reduce computation time of the processor. In scheduling, tasks are not independent of each other. So, Directed Acyclic Graph is ...
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Task scheduling is the challenging issues of parallel Processing. Optimal scheduling can reduce computation time of the processor. In scheduling, tasks are not independent of each other. So, Directed Acyclic Graph is used to show the interdependency among tasks. In this paper, we introduce a new scheduling measurement called Middle-level (m-level) that improves the performance of scheduling. Our algorithm has two step approaches: m-level and sufferage value. It reduces the idle time and efficient utilization of the processor time in comparison to other scheduling algorithms. It gives optimal or close to optimal solution. Communication cost is considered to be a part of real time systems.
Tuple Space based Mobile Middleware (TSMM), with tuple space as its coordination medium, provides decoupled coordination of different agents of its supported applications over mobile, dynamic and unreliable networks, ...
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Tuple Space based Mobile Middleware (TSMM), with tuple space as its coordination medium, provides decoupled coordination of different agents of its supported applications over mobile, dynamic and unreliable networks, like Infrastructure Basic Service Set (iBSS). TSMM includes its own discovery and communication mechanisms to achieve robustness and flexibility in such networks. This paper suggests an approach for formalizing these discovery and communication mechanisms of TSMM, in order to appropriately analyze robustness and flexibility of TSMM in presence of underlying unreliability. Formalization is carried out using Mobile UNITY.
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