Multi-Objective Intelligent Manufacturing System for Multi Machine Scheduling
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 3
Abstract
This paper proposes a framework for Intelligent Manufacturing systems in which the machine scheduling is achieved by MCDM and DRSA. The relationship between perception/knowledge base and profit maximization is being extended. Further for production function
Authors and Affiliations
Sunita Bansal , Dr. Manuj Darbari
The Reality of Applying Security in Web Applications in Academia
Web applications are used in academic institutions, such as universities, for variety of purposes. Since these web pages contain critical information, securing educational systems is as important as securing any banking...
Image Segmentation Via Color Clustering
This paper develops a computationally efficient process for segmentation of color images. The input image is partitioned into a set of output images in accordance to color characteristics of various image regions. The al...
Genetic algorithms to optimize base station sitting in WCDMA networks
In UMTS network, radio planning cannot only be based on signal predictions, but it must also consider the traffic distribution, the power control mechanism as well as the power limits and the signal quality constraints....
Content based Video Retrieval Systems Performance based on Multiple Features and Multiple Frames using SVM
In this paper, Content Based Video Retrieval Systems performance is analysed and compared for three different types of feature vectors. These types of features are generated using three different algorithms; Block Trunca...
Development of Talent Model based on Publication Performance using Apriori Technique
The main problem or challenge faced by Human Resource Management (HRM) is to recognize, develop and manage talent efficiently and effectively. This is because HRM is responsible for selecting the correct talent for suita...