Autonomous Mobile Agent Coordination Technology for Fungible Multi-services to Achieve High Response Time

2008 ◽  
Author(s):  
Shoichi Murakami ◽  
Sotaro Kimura ◽  
Xiaodong Lu ◽  
Kinji Mori
Keyword(s):  
Response Time ◽  
Mobile Agent ◽  
High Response ◽  
Agent Coordination ◽  
Coordination Technology

Mobile Agent Assisted E-Learning System

2011 ◽  
pp. 740-746
Author(s):  
Jon T.S. Quah ◽  
Winnie C.H. Leow ◽  
Y. K. Soh
Keyword(s):  
Response Time ◽  
Mobile Agent ◽  
Workforce Training ◽  
Learning System ◽  
The Internet ◽  
Knowledge Based ◽  
Technology Industry ◽  
Education Levels ◽  
E Learning ◽  
Traditional Classroom Teaching

In the past decades, the Internet has evolved so rapidly that it makes the information-technology industry grow extremely fast. Internet-based applications such as e-commerce, e-payment, e-billing, e-learning, and so forth have tremendous influence on society: There is a trend that our society will be reshaped by the Internet. Among these applications, e-learning is one of the killer applications. Currently, the traditional education system faces some challenges that arose from the development of the knowledge-based economy. School enrollment increases with the population growth, education levels also increase for the new economy, and the cost of higher education escalates. On the other hand, in the workforce-training market, as the information economy develops, the demand for skilled workers increases. As the technology keeps changing, the workforce needs continuous training to maintain its productivity level. Hence, both formal school-based education and continuous workforce training have become big business now, and they will be even bigger in the future (Kerrey & Isakson, 2000). A more sophisticated education model is required to take this challenge, and so e-learning came into being. Compared to traditional classroom teaching, e-learning provides one major advantage: It makes the access of information much easier and more convenient. Hence, it makes learning of all kinds, at all levels, anytime, anyplace, at any pace a practical reality (Kolar, 2001). E-learning also gives tremendous cost savings for both instructors and learners; the learning model is shifted from instructor centered to learner centered, which focuses primarily on the needs of learners. The updating of online material is also much easier. Many e-learning systems can develop personalized and interactive applications that allow users to customize their e-learning models to their own pace, and they can truly engage the user in that they involve the simulation of real-world events and sophisticated collaboration with other learners and instructors (Quah & Chen, 2002). In our e-learning system, we incorporated mobile-agent technology to enhance the response time of information retrieval. The purpose of this incorporation is to overcome the bottleneck problem faced by many pure client-server-based systems. Since mobile agents are able to traverse from one information server to another autonomously to search for relevant documents for users, only relevant articles are sent back. This saves bandwidth and enhances the efficiency of the e-learning system. As a result, the turnaround time for user queries or information searches reduces, and the feedback from the user community is positive as the response time is shorter and users find it easier to maintain their trains of thought in their study.

scholarly journals Spatio-temporal epidemiology of emergency medical requests in a large urban area. A scan-statistic approach

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Soheil Hashtarkhani ◽  
Behzad Kiani ◽  
Alireza Mohammadi ◽  
Shahab MohammadEbrahimi ◽  
Mohammad Dehghan-Tezerjani ◽  
...  
Keyword(s):  
Response Time ◽  
Urban Area ◽  
High Response ◽  
Scan Statistics ◽  
Care Providers ◽  
Large Urban Area ◽  
Altered Level ◽  
Median Response ◽  
Emergency Medical ◽  
Spatio Temporal

Pre-hospital care is provided by emergency medical services (EMS) staff, the initial health care providers at the scene of disaster. This study aimed to describe the characteristics of EMS callers and space-time distribution of emergency requests in a large urban area. Descriptive thematic maps of EMS requests were created using an empirical Bayesian smoothing approach. Spatial, temporal and spatio-temporal clustering techniques were applied to EMS data based on Kulldorff scan statistics technique. Almost 225,000 calls were registered in the EMS dispatch centre during the study period. Approximately two-thirds of these calls were associated with an altered level of patient consciousness, and the median response time for rural and urban EMS dispatches was 12.2 and 10.1 minutes, respectively. Spatio-temporal clusters of EMS requests were mostly located in central parts of the city, particularly near the downtown area. However, high-response time clustered areas had a low overlap with these general, spatial clusters. This low convergence shows that some unknown factors, other than EMS requests, influence the high-response times. The findings of this study can help policymakers to better allocate EMS resources and implement tailored interventions to enhance EMS system in urban areas.

Mobile Agent Coordination

2012 ◽  
pp. 71-92
Author(s):  
Giacomo Cabri ◽  
Raffaele Quitadamo
Keyword(s):  
Mobile Agent ◽  
Agent Coordination

Reactive tuple spaces for mobile agent coordination

1998 ◽  
pp. 237-248 ◽  
Author(s):  
Giacomo Cabri ◽  
Letizia Leonardi ◽  
Franco Zambonelli
Keyword(s):  
Mobile Agent ◽  
Agent Coordination ◽  
Tuple Spaces

Mobile-agent coordination models for Internet applications

Computer ◽  
2000 ◽  
Vol 33 (2) ◽  
pp. 82-89 ◽  
Author(s):  
G. Cabri ◽  
L. Leonardi ◽  
F. Zambonelli
Keyword(s):  
Mobile Agent ◽  
Internet Applications ◽  
Agent Coordination
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