AUTOMATED SYSTEM FOR NURSE SHEDULING USING GRAPH COLORING
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 3
Abstract
The research work presented in this paper aims to provide effective method for solving Nurse scheduling problem (NSP) by satisfying the nurses, patients and hospital requirements. NSP is a major problem faced by many hospitals all over the world. That is a subclass of scheduling problems that are hard to solve. After analyzing the existing method, it was revealed that there are many drawbacks in the method. The goal is to produce automated system which is using for the creation of a monthly nurse roster. To minimize the complexity of the problem graph coloring techniques was applied.
Authors and Affiliations
MR. B. T. G. S. KUMARA , DR. A. A. I PERERA
Road network analysis in Neyveli Township, Cuddalore District by using Quantum GIS
The entire road network is captured by using the open layers plugin. The road network was digitized by using Quantum GIS and analysis is carried out by using Road graph plugin analysis. This study is carried out with an...
AN EXHAUSTIVE FRAMEWORK FOR BETTER DATA CENTERS’ ENERGY EFFICIENCY AND GREENNESS BY USING METRICS
As data centers become more popular today and power cost and energy consumption exponentially raised, considering energy efficiency in data centers seems imperative. To achieve more energy efficiency and greener data cen...
PERFORMANCE OF CONCURRENCY CONTROL MECHANISMS IN CENTRALISED DATABASE SYSTEMS
The objective of this study is to propose user control system that definitely increases the performance of realtime data service. However the most existing work on this RTDB was based on very critical closed loop control...
MULTIPATH VIRTUAL QUEUE MANAGEMENT SYSTEM FOR EFFECTIVE PACKET SCHEDULING IN MPLS NETWORKS
With the rapid development of communication and networking technologies VOIP has become an alternate to traditional telephony. These applications prefer timeliness in packet delivery. To perform load balancing, link util...
Comparative analysis of Recurrent and Finite Impulse Response Neural Networks in Time Series Prediction
The purpose of this paper is to perform evaluation of two different neural network architectures used for solving temporal problems, i.e. time series prediction. The data sets in this project include Mackey-Glass, Sunspo...