A Multi-Agent Method for Streaming Quality Monitoring and Analysis over Media Grid

2007 ◽  
Author(s):  
Xiaorong Li ◽  
Wei Jie ◽  
Xiuju Fu ◽  
Hoong-Maeng Chan ◽  
Quoc-Thuan Ho ◽  
...  
Keyword(s):  
Quality Monitoring ◽  
Multi Agent

Ontology and Multi-Agent Based Intelligent Retrieval Model for Power Quality Monitoring Information

2014 ◽  
Vol 574 ◽  
pp. 436-444
Author(s):  
Jia Fu Yin ◽  
Juan Suo ◽  
Dan Tan
Keyword(s):  
Knowledge Base ◽  
Power Quality ◽  
Quality Monitoring ◽  
Retrieval Model ◽  
Deep Mining ◽  
Agent Based ◽  
Power Quality Monitoring ◽  
Retrieval Efficiency ◽  
Multi Agent ◽  
Monitoring Information

A power quality monitoring information intelligent retrieval model based on ontology and multi-Agent is proposed. Combining ontology technology with multi-Agent technology, establish a four layer alliance structure of the intelligent retrieval model. At first, the function of the model for each layer has been described in detail. Then, the concrete building method of the power quality ontology knowledge base which is the core part of the model has been explained. Finally, example analysis shows the whole intelligent retrieval process. Each layer of the model uses agent alliance mode, according with the demand of intelligent retrieval; realizing the user's retrieval request with the aid of ontology knowledge base can not only improve retrieval efficiency, but also realize deep mining of the basic retrieval information. Example analysis shows that the model can realize intelligent retrieval quickly and efficiently and have certain practical value.

Ontology and Multi-Agent Based Intelligent Retrieval Model for Power Quality Monitoring Information

2014 ◽  
Vol 599-601 ◽  
pp. 1016-1020
Author(s):  
Jin Hao Wang ◽  
Chao Ying Yang ◽  
Guang Qi Mu ◽  
Dan Tan
Keyword(s):  
Knowledge Base ◽  
Power Quality ◽  
Quality Monitoring ◽  
Retrieval Model ◽  
Deep Mining ◽  
Agent Based ◽  
Power Quality Monitoring ◽  
Retrieval Efficiency ◽  
Multi Agent ◽  
Monitoring Information

A power quality monitoring information intelligent retrieval model based on ontology and multi-Agent is proposed. Combining ontology technology with multi-Agent technology, establish a four layer alliance structure of the intelligent retrieval model. At first, the function of the model for each layer has been describled in detail. Then, the concretre building method of the power quality ontology knowledge base which is the core part of the model.has been explained.Finally,esxmple analysis show the whole intelligent retrieval process.Each layer of the model uses agent alliance mode, according with the demand of intelligent retrieval; Realizing the user's retrieval request with the aid of ontology knowledge base can not only improve retrieval efficiency, but also realize deep mining of the basic retrieval information. Example analysis shows that the model can realize intelligent retrieval quickly and efficiently and have certain practical value.

Evaluation of the concentration of particulate material and its impact on the respiratory diseases of the workers of an artesanal smelting huarochirí. Lima

2018 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Walter Manuel Vicharra ◽  
Carlos Cabrera
Keyword(s):  
Respiratory Diseases ◽  
San Antonio ◽  
Particulate Material ◽  
Quality Monitoring ◽  
Gravimetric Analysis ◽  
Air Quality Monitoring ◽  
Analysis Method ◽  
Particulate Materials ◽  
Health Assessments ◽  
Medical Examinations

The main objective of esta research is to determine the level of concentration of particulate materials of the size of 10 microns and 2.5 microns of an artisanal foundry, and to Evaluate the health in workers' respiratory diseases, as well as to find a relationship Between the particulate materials and the respiratory diseases, Which the project is located in the district of San Antonio, Department of Huarochiri, Department of Lima, Peru - 2017. The gravimetric analysis method approved by the General Directorate of Environmental Health DIGESA was used, with the Protocol for air quality monitoring and data management, to determine the level of concentration of particulate material and on the other hand Health Assessments in respiratory diseases Were used a survey made by a doctor in pulmonology, Which was Then backed by medical examinations performed on workers. It was Determined That the particulate materials of 10 microns and 2.5 microns Were above environmental quality standards, Which is Considered as risky for the health of people, and in respiratory diseases it was Concluded That some of the subjects of the population of study are With occupational diseases.

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