The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Yanqing Duan - One of the best experts on this subject based on the ideXlab platform.
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web based expert systems benefits and challenges
Information & Management, 2005Co-Authors: Yanqing Duan, John S EdwardsAbstract:Convergence of technologies in the Internet and the field of expert systems have offered new ways of sharing and distributing knowledge. However, there has been a general lack of research in the area of web-based expert systems (ES). This paper addresses the issues associated with the design, development, and use of web-based ES from a standpoint of the benefits and challenges of developing and using them. The original theory and concepts in conventional ES were reviewed and a knowledge engineering framework for developing them was revisited. The study considered three web-based ES: WITS-advisor -- for e-business strategy development, Fish-Expert -- for Fish Disease diagnosis, and IMIS -- to promote intelligent interviews. The benefits and challenges in developing and using ES are discussed by comparing them with traditional standalone systems from development and application perspectives.
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Fish-Expert: a web-based expert system for Fish Disease diagnosis
Expert Systems with Applications, 2002Co-Authors: Yanqing DuanAbstract:Abstract Fish Disease diagnosis is a complicated process and requires high level of expertise. Any attempt of developing a web-based system dealing with Disease diagnosis has to overcome various difficulties. This paper describes a Chinese National Funded Research Project (863 project) aiming to develop a web-based intelligent diagnosis system for Fish Diseases. The paper explains the need for a web-based expert system, the Fish diagnosis process and the difficulties involved in developing the system. The system structure and its components, such as database, knowledge base and image base and their functions are described. The system has over 300 rules and 400 images and graphics for different types of Diseases and symptoms. It can diagnose 126 types of Diseases amongst nine species of primary freshwater Fishes. The system has been tested and is now in pilot use by Fish farmers in the North China region. Some issues on developing web-based expert systems from the experience gained from the research are discussed.
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IFIP AI - Toward developing a tele-diagnosis system on Fish Disease
IFIP International Federation for Information Processing, 1Co-Authors: Wei Zhu, Yanqing DuanAbstract:Fish Disease diagnosis is a complicated process and requires high level of expertise, an expert system for Fish Disease diagnosis is considered as an effective tool to help Fish farmers. However, many farmers have no computers and are not able to access the Internet. Telephone and mobile uses increase rapidly, so, the provision of call centre service appears as a sound alternative support channel for farmer to acquire counseling and support. This paper presents a research attempt to develop and evaluate a call center oriented Hybrid Disease diagnosis & consulting system (H-Vet) in aquaculture in China. This paper looks at why H-Vet is needed and what are the advantages and difficulties in the developing and using such a system. A machine learning approach is adopted, which helps to acquire knowledge when enhancing expert systems with the user information collected through call center. This paper also proposes a fuzzy Group Support Systems (GSS) framework for acquiring knowledge from individual expert and aggregating knowledge into workgroup knowledge by H-Vet in the situation of difficult Disease diagnosis. The system’s architecture and components are described.
Xiaoshuan Zhang - One of the best experts on this subject based on the ideXlab platform.
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Developing a knowledge-based early warning system for Fish Disease/health via water quality management
Expert Systems with Applications, 2009Co-Authors: Ruimei Wang, Jian Zhang, Xiaoshuan ZhangAbstract:Fish Disease is becoming the major factor damaging the sustainable development of aquaculture and the quality security of aquatic product in China. Many researchers provide assistances and advice in Fish Disease diagnosis and appropriate treatment measures. However, the risk of misdiagnosis, incorrectly treatment or over-treatment also exists due to carrying out after Disease outbreaks. So it is necessary to develop an early warning system. Taking into account that Fish Disease outbreak is mainly caused by suboptimal water quality in north of China, the best way is to develop decision aids tool that can assess and early warning the risk of Fish Disease based on water quality management. This paper introduces a knowledge-based early warning system for Fish Disease via water quality management. The architecture, the process for knowledge engineering, main components and their functions, especially a series of water quality management mathematic models are described. At present, the system is in pilot in the city of Tianjin in China. The stage achievements in developing the intellectual system of Fish Disease early warning are summarized.
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FDEWS 2.0: A Web-GIS-Based Early Warning System for Fish Disease via Water Quality Management
2006 6th World Congress on Intelligent Control and Automation, 2006Co-Authors: Boqi Wang, Xiaoshuan ZhangAbstract:The water quality is the most vital factor in a successfully healthy aquaculture. After investigation by 415 Fish Disease cases and experiments, it is found that eutrophication and the pollutants of NH 3 , H 2 S as well as heavy metals and organic compounds are the main reasons of inducing Fish Disease in the north of China. Generally speaking, an early warning system for Fish Disease based on water management is a cheaper and alternative choice available for the Fish farmers to warn the risks and to minimize Disease problems. A Web-GIS-based Fish Disease early-warning system (FDEWS 2.0) based on water quality management has been developed by us. Building a water quality monitoring network in the aquafarm and integrating a series of simulation models with the GIS and the World-Wide-Web (WWW) are the key advantages of this system.
Zhang Xiaoshuan - One of the best experts on this subject based on the ideXlab platform.
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Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for Fish Disease/health management
Expert Systems with Applications, 2009Co-Authors: Zhang Xiaoshuan, Fu Zetian, Cai Wengui, Tian Dong, Zhang JianAbstract:Fish Disease and health management is becoming a key barrier and major problem that currently limits expanded production and sustainable development of aquaculture and bring out food-safety issues. There has been a marked growth of interest in developing expert system to aid Fish Disease/health management. The literature shows that a few have been used to any extent due to the lack of deep user requirement analysis and long-term support and maintenance. This paper presents the effort to apply evolutionary prototyping model in developing an intelligent decision support system for Fish Disease/health management. The paper describes in detail about the four evolution stages as the system development experienced, every stage including the system design and implementation, feedback and requirement from system evaluation, and system redevelopment until a blown system. At last the evolution process is concluded from three directions. The evolutionary prototyping benefits and challenges experienced during the development and promotion are also discussed from the project management perceptive.
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Developing a Web-based Early Warning System for Fish Disease based on Water Quality Management
2006 1ST IEEE Conference on Industrial Electronics and Applications, 2006Co-Authors: Li Nan, Wang Ruimei, Fu Zetian, Zhang XiaoshuanAbstract:The Suboptimal water quality, including the eutrophication and the pollutants of NH3, H2S as well as organic compounds, is the main reason of damaging Fish resources, which are suffered by the aquaculture ponds in the north of China and result in great losses to Chinese aquatic products every year. Therefore, it is important and the best way to develop decision aids that can help to assess the risks of Fish Disease through water quality management. EWS-FDWQ: a web-based early-warning system for Fish Disease based on water quality management has been developed by us. Real-time water quality monitoring and a series of water quality management mathematic models, including water eutrophic assessment, pollutant risk assessment and water quality forecast as well as potential risk early warning of Fish Disease, are the key advantages of our system.
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Development of the ES-FDD: an expert system for Fish Disease diagnosis
Oceans '04 MTS IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600), 2004Co-Authors: Zhang Xiaoshuan, Fu Zetian, Wang RuimeiAbstract:ES-FDD is a web-based expert system for Fish Disease diagnosis developed by China Agricultural University. The system contains a large amount of Fish Disease data and images and can mimic experiences from many experts had accumulated through many years Fish Disease expertise and diagnose 126 kinds of Fish Diseases with a user-friendly interface. A 5-step development process for the ES-FDD included identify and understand the problem domain, make sense of the diagnosis process and acquire knowledge, design, build and evaluate 0 order prototype, test and expand prototype into full system and maintain the system and promotion. To increase adoption of the software, a representative sample of end-users was extensively involved during the development process. End-user contributions resulted in additional modules for water quality calculator programs, user-friendly interface and addition of a database module for data recording and analyses
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On knowledge representation in Fish Disease diagnosis expert system
2003 Las Vegas NV July 27-30 2003, 2003Co-Authors: Zhang Xiaoshuan, Fu Zetian, Wen Jiwen, Wang RuimeiAbstract:Knowledge representation is the generator in Fish Disease Diagnosis Expert System (Fish-expert), so it is necessary that develop an explicit formalization capable of compiling the knowledge of experts to uniformity of expression and describing all kinds of Fish Diseases. In this paper we focus on the knowledge representation formalism in Fish-expert. With integrated Fish Disease diagnostics with experiences from many experts had accumulated through many years, we brought forward the conceptualization architecture for Fish Disease diagnosis, which describes the causality relations inherent in Fish Disease diagnosis knowledge. Then we represented them via a hybrid formalism that combines conventional and logic production rules and Neural Network. The conventional rule is employed to represent the knowledge from experience of experts cutting down the problem space. The logic rule represents the causality relations among symptoms, Diseases and pathogenies and The Neural Network is used for training and forming the relations among them. Compared with the knowledge representation formalism only employed the conventional rule, the fundamental characteristic of the formalism is that it can represent both the frequency of occurrence of symptoms with Diseases and the strength of confirmation of symptoms for Diseases. With application of the hybrid formalism the amount of rules of Fish-expert had been decreased from 1890 to 312 and the reasoning speed and veracity had been promoted from 1 second to 0.5 second and 85% to 95% or more separately.
P D Eckersall - One of the best experts on this subject based on the ideXlab platform.
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the serum proteome of atlantic salmon salmo salar during pancreas Disease pd following infection with salmonid alphavirus subtype 3 sav3
Journal of Proteomics, 2013Co-Authors: M Braceland, R Bickerdike, John Tinsley, D Cockerill, M F Mcloughlin, D A Graham, Richard Burchmore, William Weir, C Wallace, P D EckersallAbstract:Salmonid alphavirus is the aetological agent of pancreas Disease (PD) in marine Atlantic salmon, Salmo salar, and rainbow trout, Oncorhynchus mykiss, with most outbreaks in Norway caused by SAV subtype 3 (SAV3). This atypical alphavirus is transmitted horizontally causing a significant economic impact on the aquaculture industry. This histopathological and proteomic study, using an established cohabitational experimental model, investigated the correlation between tissue damage during PD and a number of serum proteins associated with these pathologies in Atlantic salmon. The proteins were identified by two-dimensional electrophoresis, trypsin digest and peptide MS/MS fingerprinting. A number of humoral components of immunity which may act as biomarkers of the Disease were also identified. For example, creatine kinase, enolase and malate dehydrogenase serum concentrations were shown to correlate with pathology during PD. In contrast, hemopexin, transferrin, and apolipoprotein, amongst others, altered during later stages of the Disease and did not correlate with tissue pathologies. This approach has given new insight into not only PD but also Fish Disease as a whole, by characterisation of the protein response to infection, through pathological processes to tissue recovery.
Fu Zetian - One of the best experts on this subject based on the ideXlab platform.
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Applying evolutionary prototyping model in developing FIDSS: An intelligent decision support system for Fish Disease/health management
Expert Systems with Applications, 2009Co-Authors: Zhang Xiaoshuan, Fu Zetian, Cai Wengui, Tian Dong, Zhang JianAbstract:Fish Disease and health management is becoming a key barrier and major problem that currently limits expanded production and sustainable development of aquaculture and bring out food-safety issues. There has been a marked growth of interest in developing expert system to aid Fish Disease/health management. The literature shows that a few have been used to any extent due to the lack of deep user requirement analysis and long-term support and maintenance. This paper presents the effort to apply evolutionary prototyping model in developing an intelligent decision support system for Fish Disease/health management. The paper describes in detail about the four evolution stages as the system development experienced, every stage including the system design and implementation, feedback and requirement from system evaluation, and system redevelopment until a blown system. At last the evolution process is concluded from three directions. The evolutionary prototyping benefits and challenges experienced during the development and promotion are also discussed from the project management perceptive.
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Developing a Web-based Early Warning System for Fish Disease based on Water Quality Management
2006 1ST IEEE Conference on Industrial Electronics and Applications, 2006Co-Authors: Li Nan, Wang Ruimei, Fu Zetian, Zhang XiaoshuanAbstract:The Suboptimal water quality, including the eutrophication and the pollutants of NH3, H2S as well as organic compounds, is the main reason of damaging Fish resources, which are suffered by the aquaculture ponds in the north of China and result in great losses to Chinese aquatic products every year. Therefore, it is important and the best way to develop decision aids that can help to assess the risks of Fish Disease through water quality management. EWS-FDWQ: a web-based early-warning system for Fish Disease based on water quality management has been developed by us. Real-time water quality monitoring and a series of water quality management mathematic models, including water eutrophic assessment, pollutant risk assessment and water quality forecast as well as potential risk early warning of Fish Disease, are the key advantages of our system.
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Development of the ES-FDD: an expert system for Fish Disease diagnosis
Oceans '04 MTS IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600), 2004Co-Authors: Zhang Xiaoshuan, Fu Zetian, Wang RuimeiAbstract:ES-FDD is a web-based expert system for Fish Disease diagnosis developed by China Agricultural University. The system contains a large amount of Fish Disease data and images and can mimic experiences from many experts had accumulated through many years Fish Disease expertise and diagnose 126 kinds of Fish Diseases with a user-friendly interface. A 5-step development process for the ES-FDD included identify and understand the problem domain, make sense of the diagnosis process and acquire knowledge, design, build and evaluate 0 order prototype, test and expand prototype into full system and maintain the system and promotion. To increase adoption of the software, a representative sample of end-users was extensively involved during the development process. End-user contributions resulted in additional modules for water quality calculator programs, user-friendly interface and addition of a database module for data recording and analyses
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On knowledge representation in Fish Disease diagnosis expert system
2003 Las Vegas NV July 27-30 2003, 2003Co-Authors: Zhang Xiaoshuan, Fu Zetian, Wen Jiwen, Wang RuimeiAbstract:Knowledge representation is the generator in Fish Disease Diagnosis Expert System (Fish-expert), so it is necessary that develop an explicit formalization capable of compiling the knowledge of experts to uniformity of expression and describing all kinds of Fish Diseases. In this paper we focus on the knowledge representation formalism in Fish-expert. With integrated Fish Disease diagnostics with experiences from many experts had accumulated through many years, we brought forward the conceptualization architecture for Fish Disease diagnosis, which describes the causality relations inherent in Fish Disease diagnosis knowledge. Then we represented them via a hybrid formalism that combines conventional and logic production rules and Neural Network. The conventional rule is employed to represent the knowledge from experience of experts cutting down the problem space. The logic rule represents the causality relations among symptoms, Diseases and pathogenies and The Neural Network is used for training and forming the relations among them. Compared with the knowledge representation formalism only employed the conventional rule, the fundamental characteristic of the formalism is that it can represent both the frequency of occurrence of symptoms with Diseases and the strength of confirmation of symptoms for Diseases. With application of the hybrid formalism the amount of rules of Fish-expert had been decreased from 1890 to 312 and the reasoning speed and veracity had been promoted from 1 second to 0.5 second and 85% to 95% or more separately.