YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web crawler & Web page. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Benchmarking of internal supply chain management: factors analysis and ranking using ISM approach and MICMAC analysis

Abstract: Several qualitative and quantitative techniques are available for factors analysis of benchmarking of supply chain management. Fifteen variable factors of benchmarking of internal supply chain management (ISCM) has been identified and derived theoretically from various literature sources and opinions of expert's from 300 manufacturing industries. Mean score and an interpretive structural modelling (ISM) approach is applied to assign the rank of factors. In ISM approach, influence between factors is determined by considering the opinions of experts from relevant field. An industrial questionnaire method is used to collect the opinion of experts. Firstly, analysis of the interactions among factors for benchmarking of ISCM by ISM approach and matriced impacts croises multiplication appliqueeaun classement (MICMAC) analysis. Secondly, to develop the relationship among identified rank of factors. Finally, to do the classification of variable factors into clusters based on their driving power and dependence power. According to social implication and managerial point of view, this research provides help to researchers and managers to understand the mutual influence of factors. This research work is also helpful to identify those factors which support in benchmarking of ISCM of any business organisation.

A literature review on the implementation of Enterprise Resource Planning (ERP) system

Abstract: ERP is very important tool which is very helpful in maintaining various operations within an organization. But there are many factors which affect its effectiveness and act as barrier to in its full utilization. This paper tries to identify those factors by systematic literature analysis. The organizations may recognize these barriers in order to develop proper strategy to handle them properly. Keywords: Success factors, Barriers, Implementation, ERP

A Novel Transmission Power Efficient Routing in Cognitive Radio Networks Using Game Theory

Abstract: Owing to frequently increasing demand of wireless communication technology, the problem of spectrum shortage arises. To overcome this, Cognitive Radio (CR) came into play. CRs use the available vacant spectrum of primary users intelligently. CRs use these spectrum holes opportunistically by changing their transmission parameters. To model the performance of a wireless network, game theory has been used due to its capability to model individual, independent decision-makers. Game theory can be used in any network at various layers, to model its behavior and performance. To send data between any two nodes in network, we need a routing protocol. We aim to find out a transmission power-aware routing algorithm which routes the message packets efficiently within the network, while maximizing the overall throughput of the system. And then we compare its performance with shortest path and minimum transmission power routing scheme. Implementation is done in MATLAB-9.0.

A Fuzzy Logic Based Synonym Resolution Approach for Automated Information Retrieval

Abstract: Precise semantic similarity measurement between words is vital from the viewpoint of many automated applications in the areas of word sense disambiguation, machine translation, information retrieval and data clustering, etc. Rapid growth of the automated resources and their diversified novel applications has further reinforced this requirement. However, accurate measurement of semantic similarity is a daunting task due to inherent ambiguities of the natural language, spread of web documents across various domains, localities and dialects. All these issues render to the inadequacy of the manually maintained semantic similarity resources (i.e. dictionaries). This article uses context sets of the words under consideration in multiple corpora to compute semantic similarity and provides credible and verifiable semantic similarity results directly usable for automated applications in the intelligent manner using fuzzy inference mechanism. It can also be used to strengthen the existing lexical resources by augmenting the context set and properly defined extent of semantic similarity.