Towards an Intelligent Grid Scheduling System

2006 ◽  
pp. 751-757 ◽  
Author(s):  
Ralf Gruber ◽  
Vincent Keller ◽  
Pierre Kuonen ◽  
Marie-Christine Sawley ◽  
Basile Schaeli ◽  
...  
Keyword(s):  
Grid Scheduling ◽  
Scheduling System

Application of Speech Interactive Technology in the Future Grid Scheduling System

2014 ◽  
Vol 1070-1072 ◽  
pp. 749-754
Author(s):  
Xiao Mei Liu ◽  
Zi Jian Yan ◽  
Hong Zhang
Keyword(s):  
Human Computer Interaction ◽  
Interactive Technology ◽  
Grid Scheduling ◽  
Technology Application ◽  
Scheduling System ◽  
Full Development ◽  
The Future ◽  
Power Scale ◽  
Speech Interaction ◽  
Computer Interaction

With the strong and smart grid full development and the unprecedented power scale, the traditional interaction has become increasingly unable to meet the requirements of future grid scheduling system. This paper analyzes the feasibility of speech interactive technology application in the dispatching automation areas, designed the scheduling speech interaction framework to meet the characteristics of grid scheduling. Then it was integrated into the existing human-computer systems to do related validation studies. The human-computer interaction framework is consisted of speech recognition module, semantic storage modules, interactive response modules and integrated human-computer display modules.The results showed that the speech interaction as an Auxiliary interaction, intergrated into human-computer interaction in the future scheduling system that can help dispatchers better to monitor and manage the power grid, which has broad application prospects in future grid scheduling system.

Study on the Non-Dedicated Grid Scheduling System

2007 ◽  
Author(s):  
Jiong Yu ◽  
Yong Hou ◽  
Xianhe Sun ◽  
Yuanda Cao ◽  
Changyou Zhang
Keyword(s):  
Grid Scheduling ◽  
Scheduling System

Study on the Non-Dedicated Grid Scheduling System

2007 ◽  
Author(s):  
Jiong Yu ◽  
Yong Hou ◽  
Xianhe Sun ◽  
Yuanda Cao ◽  
Changyou Zhang
Keyword(s):  
Grid Scheduling ◽  
Scheduling System

Penerapan Algoritma ACO untuk Penjadwalan Kuliah Pengganti pada Perguruan Tinggi (Studi Kasus: Program Studi Informatika, Universitas Multimedia Nusantara)

2019 ◽  
Vol 9 (2) ◽  
pp. 79-85
Author(s):  
Indah Noviasari ◽  
Andre Rusli ◽  
Seng Hansun
Keyword(s):  
Ant Colony Optimization ◽  
Educational Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Ant Colony ◽  
Scheduling Problems ◽  
Perceived Ease Of Use ◽  
Ant Colony Optimization Algorithm ◽  
Scheduling System ◽  
Course Scheduling

Students and scheduling are both essential parts in a higher educational institution. However, after schedules are arranged and students has agreed to them, there are some occasions that can occur beyond the control of the university or lecturer which require the courses to be cancelled and arranged for replacement course schedules. At Universitas Multimedia Nusantara, an agreement between lecturers and students manually every time to establish a replacement course. The agreement consists of a replacement date and time that will be registered to the division of BAAK UMN which then enter the new schedule to the system. In this study, Ant Colony Optimization algorithm is implemented for scheduling replacement courses to make it easier and less time consuming. The Ant Colony Optimization (ACO) algorithm is chosen because it is proven to be effective when implemented to many scheduling problems. Result shows that ACO could enhance the scheduling system in Universitas Multimedia Nusantara, which specifically tested on the Department of Informatics replacement course scheduling system. Furthermore, the newly built system has also been tested by several lecturers of Informatics UMN with a good level of perceived usefulness and perceived ease of use. Keywords—scheduling system, replacement course, Universitas Multimedia Nusantara, Ant Colony Optimization

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