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This paper describes a study to develop a ubiquitous expert system that aims to diagnose dermatological ailment present in a user. Diagnosing dermatological ailments has proven challenging due to the characteristic similarity in the symptoms of various diseases which usually require biopsies that are difficult to accurately read. This has brought about artificial intelligence researches into the automated...
This paper deals with development of a method for the data analysis of medical expert system by pulse diagnosis. One of the main directions of an application for artificial intelligence in medical practice is attempts to build a new clinical decision-making support system at the expert-level. Medical diagnosis is based on the pathophysiological process, which is a not very common in compared to other...
The main idea of this paper is to develop an intelligent decision support system for decision support of green energy producers, anxious to participate to liberalized energy market. The international and national context is very favorable for the problematic discussed. It is represented by the new European Union strategies who promote: the green technologies and the methods for their integration into...
Discus fish is a favourite fish because of its beauty and unique characteristic, ranging from a variety of style, colour and shape. This fish has become one of the profitable business opportunities for fish farmers, mainly for export to overseas because the price is quite expensive. However, Discus fish is difficult to maintain since it is susceptible to various diseases. An expert system application...
This paper presents and innovative technique-referred to as trend-weighted rule-based expert system (TWRBES) — grounded in the integration of two existing tools of the artificial intelligence field, expert systems (ES) and qualitative trend analysis (QTA). The main goal of this approach is to benefit of the main advantages associated with each of the techniques used, such as the ability to represent...
An expert system for management of plug seedling was developed, the system have the function for the diagnosis of pests, diseases and the consulting of plug seedling cultivation. According to the symptoms characteristic features described for diseases and pests, the rule base was established based on relational databases. And the rules were expressed based on production rules. Based on the case based...
This paper applies the fuzzy reasoning into the process of the forestry pests and diseases's diagnosis. Firstly, it introduces the fuzzy reasoning and the expert system, and then a new design method is proposed, which can carries on the objective quantitative analysis and effective processing to each kind of indefinite information. At last this method is taken into application and The practice indicates...
The accurate diagnosis of rice pest insects and diseases is very important for high yielding and high quality cultivation of rice. Because the characteristics of rice pest insects and diseases are miscellaneous, and its occurred environment is complex, it is difficult to diagnose accurately using artificial intelligence system. In this study, BP neural network technology is applied to a rice pest...
What we propose is a decision support system to improve the dependability of highly interconnected communications and information systems (CIS) that consists of the following. First, a framework to use expert knowledge based on a Rete algorithm to use rules and proposes reactions to administrate computer systems using the incidents that occur. Second, a very visual decision support console to study...
The paper presents the structure and usage mode for an integrated fault-diagnosis and control system for transformers. The fault diagnosis and control system allows online analysis on a desktop application, a Web application and offline analysis for determining the transformer faults and remedies based on certain symptoms observed on the equipment and their comparison with the survey results of cooling...
The paper presents the structure and usage mode for an integrated fault-diagnosis and control system for power system equipment. The fault diagnosis and control system allows on-line analysis on a desktop application, a Web application and off-line analysis for determining the transformer faults and remedies based on certain symptoms observed on the equipment and their comparison with the survey results...
In this paper we discuss the components and design of each part of an expert system for fault detection and diagnosis in the refrigeration process of a hydraulic power station. Given a minimum group of measurements, it is possible to extract behavior patterns for the whole system. The knowledge base is obtained by simulating the dynamic behavior of the process. The expert system was designed for a...
Hydro generator excitation system is one of the most maintenance intensive subsystem in hydro power plants. A novel embedded maintenance unit of the excitation system is studied. A knowledge bank, which summarizes both the expert knowledge and the analytical knowledge on the failure modes and their manifestations as well as their effects, is established. An expert system is developed to optimize the...
The FDD (fault detection and diagnosis)expert system of rockets must diagnose quickly with pre-launch testing data. Therefore, it needs a fast inference algorithm that is capable of dealing with mass data. Algorithm Rete, when facing mass data and rules to be tested, has the disadvantages, such as the great consumption of system resource, and deteriorates its inference efficiency. Using bit vectors...
Nowadays, induction machines are known as workhorse and play an important role in manufacturing environments mainly due to their low cost, reasonably small size, ruggedness, low maintenance, and operation with an easily available power supply. Therefore, the diagnostic technology of this type of machine is mainly considered and proposed from industry and scientist academia. Several studies show that...
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