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In the process of aquaculture, farmers usually cannot make accurate diagnosis for the sudden fish disease. And they can hardly take treatment measures timely and effectively. They need to get professional advice and guidance from the fish disease experts. This often results to miss the best treatment time. The fish disease usually spreads rapidly and the fish may dead massively which causes a loss...
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...
Lower urinary tract dysfunctions (LUTD) restrict quality of life, resulting in decreased work productivity and emotional well‐being. However, most people are not diagnosed because they do not seek medical treatment. In addition, some facilities do not adequately train health professionals in the evaluation, diagnosis and treatment of these conditions. The study's objective was to develop a decision...
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...
This chapter describes the development of an expert system by a knowledge engineer with pedagogical expertise. Specifically, the problem of knowledge elicitation from the expert’s point of view is thoroughly presented as characterized by skillful coding in the expert’s system input and output representation of knowledge. Based on the developed expert system, neural networks and neurofuzzy logic technologies...
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...
Lung cancer is the second most common cancer in both men and women in the world. The focus of this paper is to design a fuzzy rule based medical expert system for diagnosis of lung cancer. The proposed system consists of four modules: working memory, knowledge base, inference engine and user interface. The system takes the risk factors and symptoms of lung cancer in a two-step process and stores them...
Sooner the Cancer is diagnosed, better the chances of overall survival. Diagnosis and Prognosis are the two major challenging aspects which are to be addressed in treating cancer. Early diagnosis helps treating cancer before they become metastatic; in addition, prognosis will reveal the survival pattern for different attributes i.e., for specific drug, before and after the treatment. Better the diagnosis...
This paper discusses the potential benefits of artificial intelligence techniques. First, the role of alarm interpretation in complex process monitoring is examined followed by an analysis of the alarm interpretation task. The techniques used in several industrial applications are described. They are compared and the common features are highlighted. This paper has been written so as to provide the...
Diagnosis of faults in induction motors has been accomplished traditionally following a two stage procedure: first, the selected diagnostic quantity is measured and treated with an appropriate signal analysis tool, and, second, the diagnostic signal is evaluated, either by trained personnel or by automatic systems, to determine the presence and the severity of the fault. The techniques used in each...
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...
At present, aircraft fault diagnosis methods have been used in many engineering applications. Among them, most methods considered only a single case-based or rule-based diagnostic method, therefore the efficiency of those fault diagnosis methods need to be improved. In this paper, it proposed and studied a fault diagnosis method based on the integration of case and rule reasoning, and introduced the...
At industrial processes management, especially of those of great complexity, the aspects connected to their maintenance into the limits of good running, assuring both quality and continuity, become a priority.
The following paper focuses on the description of an open designed condition analysis system and its methods, which enable the continuous online- or discontinuous offline monitoring of the overall state of a diesel-, heavy fuel oil-, or gas operated large- respectively industrial engine and its subsystems like e. g. the turbocharger.
Based on the introduction to the importance and uncertainty in knowledge representation of expert system for learning-disability diagnosis for children, this paper selects production representation and then elaborates it. Taking mathematical learning disabilities as an example, this study designs a knowledge base with access. The author hopes that it would to benefit the other expert systems on the...
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...
Nowadays, the supervision process of industrial installations is more and more complex involving the automation of their control. A malfunction generates an avalanche of alarms. The operator in charge of the supervision must face the incident and executes right actions to recover a normal situation. Generally he is drowned under a great number of alarms. To eliminate the risk of incident, expert systems...
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...
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