http://localhost:8080/xmlui/handle/123456789/7432 2026-04-12T21:28:42Z 2026-04-12T21:28:42Z Bhowmik, Chiranjib Zindani, Divya Bhowmik, Sumit Ray, Amitava http://localhost:8080/xmlui/handle/123456789/8330 2020-12-04T10:56:21Z 2020-02-01T00:00:00Z

Sustainable Supplier Selection Using Combined Thinking Process Bhowmik, Chiranjib; Zindani, Divya; Bhowmik, Sumit; Ray, Amitava This paper aims to propose an integrated methodology based on the theory of constraint (TOC), lean thinking (LT), and six-sigma (SS) into a single evaluation model to select the best supplier under various qualitative and quantitative criteria to maintain its supply chain. Firstly, the study identifies production constraints using combined approaches, thereafter the decision-aiding method namely entropy-based technique for order of preference by similarity to ideal solution (TOPSIS) is used for exploiting the value stream and automate the selection strategy which satisfies the subsequent phases of the integrated methodology. To demonstrate the application feasibility of the proposed integrated methodology an illustrative case of a brake flange manufacturer is considered. The model effectively integrates the expert judgments and skill of each dispersed evaluator, and the quantitative data to select the best supplier for assistance. The methodology can be widely applicable to any of the production house where supplier selection reduces the throughput of the organization.

2020-02-01T00:00:00Z Virpura, Digvijay Swaminarayan, Priya http://localhost:8080/xmlui/handle/123456789/8136 2020-11-27T10:32:09Z 2017-03-01T00:00:00Z

Survey on Life Cycle Management and Version Control in Oracle Application Express Virpura, Digvijay; Swaminarayan, Priya As we are moving ahead in the Oracle Application Express technology, this paper is specifically focus on the possibilities and other aspects of implementing Application Life Cycle Management (ALM) and Version Control System (VCS) in Oracle Application Express. This paper also focuses on the options, Open source technologies available to implement ALM and VCS in Oracle Application Express technology. As Oracle APEX provides concurrent application development and it add more advantages to have multiple versions for the product.

2017-03-01T00:00:00Z Desai, Mittal N. http://localhost:8080/xmlui/handle/123456789/8135 2020-11-27T10:27:14Z 2016-11-01T00:00:00Z

Three Facets of Future Internet Prof. Mittal Desai, Mittal N. The future of the Internet is not only limited to connecting people but beyond that it connects all the things orobjects around us, using technology Internet of Things. In this paper it visualized that future Internet is based on three facets like Internet of Things, Cloud Computing and Big Data are complementing each other

2016-11-01T00:00:00Z Gupta, Neha Verma, Bharat http://localhost:8080/xmlui/handle/123456789/8119 2020-11-27T09:29:10Z 2015-07-01T00:00:00Z

Image Retrieval and Classification Using Feature Swarm Neural Network Based SVM Classifier Gupta, Neha; Verma, Bharat The content-based image retrieval (CBIR) system is very complex and applicable and often used for image retrieval and classification strategies, as it can be used to construct image database efficiently and with high effective order. The CBIR method usually retrieves the images by utilization of image features. We propose a neural system based system for enhancing image feature based recovery. We utilize colour histogram, wavelets analysis, texture using colour correlation graphing, distance metrics of separated pictures to catch the spatial relationship among pixels and in addition worldwide/visual appearance of pictures. Test results on a subset of 500 image dataset show the viability of the proposed technique and examinations show that the proposed technique gives critical change over previous Neural Technique based on 3 level feature extraction. In this research work, we exploit a technique called SVM (Support Vector Machine) as an image feature matching to help effectively retrieving the images using feature matching which have been randomly arranged. Moreover, we use vector quantization to reduce the features comparison for improving the retrieval efficiency. The experimental results show that the method with high recall and precision is promisingly high from previous optimizations.

2015-07-01T00:00:00Z