DocumentCode :
2460811
Title :
The Development of an Intelligent Campus Equipment Ubiquitous-Management System
Author :
Lin, Yu-Cheng ; Chen, Ping-Liang ; Liu, Jui-Jung
Author_Institution :
Dept. of Inf. & Electron. Commerce, Kainan Univ., Taoyuan, Taiwan
fYear :
2012
fDate :
4-6 June 2012
Firstpage :
212
Lastpage :
215
Abstract :
In this paper, we proposed an intelligent campus equipment ubiquitous-management system. This RFID-based intelligent ubiquitous-management system use RFID to monitor the status of equipment in real time, and use wire or wireless network to send real-time situation to display on manager´s PC or PDA. In addition, the RFID-based intelligent management system will also synchronize with database to record and reserve message. Furthermore, the status will display not only to a single manager but also a number of managers. In order to increase efficiency between Graphical User Interface (GUI) and Database, the system adopts Sql Dependency Object of ADO.NET so that the database changed any situation (eg. Add, Modify, and Delete) could be known immediately and synchronized with manager´s PC or PDA. In order to obtain a feasible solution to this NP-Complete problem efficiently, we apply genetic algorithm to enhance the efficiency of finding optimum solution for equipment utilization. We could assign constraints into this system, and it will post back the optimum solution simultaneously on the screen. As a consequence, we compare the simulated annealing based approach (SA) proposed in [4][6] with our genetic algorithm based approach (GA) for maximizing the equipment utilization. Experimental result shows experimentally that our GA approach achieves an average 79.66% improvement in equipment utilization in an acceptable run time.
Keywords :
computational complexity; educational computing; genetic algorithms; graphical user interfaces; radiofrequency identification; ADO.NET; GUI; NP-complete problem; PC; PDA; RFID; SqlDependency object; database synchronization; equipment status monitoring; equipment utilization; genetic algorithm; graphical user interface; intelligent campus equipment ubiquitous-management system; message recording; message reservation; wire network; wireless network; Artificial intelligence; Databases; Educational institutions; Genetic algorithms; Graphical user interfaces; Internet; Radiofrequency identification; Graphical User Interface; RFID; campus equipment; genetic algorithm; ubiquitous-management system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
Type :
conf
DOI :
10.1109/IS3C.2012.62
Filename :
6228285
Link To Document :
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