A Trichrome RGB Endoillumination Prototype System: A Novel Application for Chromovitrectomy

2013 ◽  
Vol 230 (s2) ◽  
pp. 73-76
Author(s):  
Sandeep Saxena ◽  
Carsten H. Meyer
Keyword(s):  
Prototype System ◽  
System A

scholarly journals Cloud Monitoring for Solar Plants with Support Vector Machine Based Fault Detection System

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hong-Chan Chang ◽  
Shang-Chih Lin ◽  
Cheng-Chien Kuo ◽  
Hao-Ping Yu
Keyword(s):  
Support Vector Machine ◽  
Information System ◽  
Monitoring System ◽  
Solar Power ◽  
Video Data ◽  
Failure Diagnosis ◽  
Support Vector ◽  
Management Platform ◽  
System A ◽  
Cloud Monitoring

This study endeavors to develop a cloud monitoring system for solar plants. This system incorporates numerous subsystems, such as a geographic information system, an instantaneous power-consumption information system, a reporting system, and a failure diagnosis system. Visual C# was integrated with ASP.NET and SQL technologies for the proposed monitoring system. A user interface for database management system was developed to enable users to access solar power information and management systems. In addition, by using peer-to-peer (P2P) streaming technology and audio/video encoding/decoding technology, real-time video data can be transmitted to the client end, providing instantaneous and direct information. Regarding smart failure diagnosis, the proposed system employs the support vector machine (SVM) theory to train failure mathematical models. The solar power data are provided to the SVM for analysis in order to determine the failure types and subsequently eliminate failures at an early stage. The cloud energy-management platform developed in this study not only enhances the management and maintenance efficiency of solar power plants but also increases the market competitiveness of solar power generation and renewable energy.

Using Expert Systems and Cloud Computing to Build a Diabetes Diagnosis System

2014 ◽  
Vol 651-653 ◽  
pp. 2063-2066
Author(s):  
Chung C. Chang ◽  
Shu Hui Tsai
Keyword(s):  
Cloud Computing ◽  
Diabetic Retinopathy ◽  
Expert System ◽  
Expert Systems ◽  
System Design ◽  
Research Method ◽  
Research Topic ◽  
Prototype System ◽  
Diabetes Diagnosis ◽  
Cloud Platform

This study combines an expert system with cloud computing, establishing the expert system on a cloud platform to provide users with assistance and recommendations about diabetes and diabetic retinopathy diagnosis. This study mainly adopts an empirical approach. The first step is to define the research topic, and then propose questions and the research purpose based on the research background and motivation. Research results are related to three areas, specifically diabetes and diabetic retinopathy, expert systems, and cloud computing. After analyzing and organizing the literature, the research method and scope of research are established with a system design based on the three areas. This study then develops a prototype system to validate, evaluate, and test the expert system. Finally, study gives the conclusion and recommendations.

scholarly journals Numerical Simulation of the Air Cooling System for Scientific Payload Rack on a Space Station

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6145
Author(s):  
Yuan-Yuan Lou ◽  
Ben-Yuan Cai ◽  
Yun-Ze Li ◽  
Jia-Xin Li ◽  
En-Hui Li
Keyword(s):  
Numerical Simulation ◽  
Cooling System ◽  
Space Station ◽  
Thermal Control ◽  
Physical Models ◽  
Air Cooling ◽  
Ansys Fluent ◽  
System A ◽  
Air Cooling System ◽  
Scientific Payload

The space scientific payload rack is a multifunctional experimental platform, and the requirements of the environmental temperature index are different for diversified experimental modules inside. The air cooling system is an important part of the rack thermal control system. A new type of air cooling system with small size and flexible arrangement is proposed in this paper, that is, micro air ducts with pinhole-sized air vents. The rack physical models of new and traditional air cooling modes are established, respectively. The numerical simulation of the inner air flow is carried out by Ansys Fluent CFD software (Ansys Inc., Canonsburg, PA, USA), which verifies that compared with the traditional method, the temperature field and flow field of the new air cooling method are more uniform, and the heat sources located at the edge of the rack can also be cooled better.

The REX Expert System: A New Alternative for Rock Excavation Design

1998 ◽  
Vol 35 (4-5) ◽  
pp. 675-676
Author(s):  
M.A. Tapia ◽  
M.A. Valverde ◽  
B. Amadei ◽  
H. Madrigal
Keyword(s):  
Expert System ◽  
Rock Excavation ◽  
System A
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