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According to the World Health Organization, there are about 15% of universe population have some forms of disability. One of these disabilities is Cerebral Palsy CP which is a permanent motor disorder that appears in early age causing mental and physical disabilities. Based on WHO, between 1.5 to 2.8 cases per 1000 birth have CP Disability in the world. In Gaza Strip, 2.6% of population has some forms...
The expert system is applied to the fault diagnosis of mine power supply network, and a way to realize the fault diagnosis expert system of mine power supply network is put forward. In this paper, the mine power supply network fault diagnosis expert system is based on Visual C ++ 6.0 development environment and SQL2008 database development and design, the use of configuration technology scalability,...
Rule based expert systems are widely used in online fault diagnosis systems, while failure mode, effects and criticality analysis (FMECA) is a widely used information intensive method to gather failure modes and its related information. We utilize FMECA worksheet as a backbone to authorize generalized rule base against device types, and present how to commission this generalized rule base to an operable...
The traditional silk pattern design process depends largely on designer's knowledge and experience which makes the new creative design very difficult to produce. The research applies expert system to the silk design field and uses association data mining to extract association rules from ancient silk relics, the expert system recommends users with appropriate design through description rules and association...
Captology is an acronym, derived from Computer As Persuasive TechnOLOGY, where the instance persuasive, (lat. persuasibilibus - enticing), refers to the convincing persuasion caused by computer technology. Transitive and interactive technologies as intelligent systems, have imposed, by their persuasivity, “the cult of information”, after which the information became type of goods that as utilitarian...
An expert system (ES) is a computer system that emulates the decision-making ability of a human expert. And it is designed to solve complex problems by reasoning about knowledge, represented primarily as IF-THEN rules. However, the control accuracy is determined by the complexity of the IF-THEN rules, which are designed according to the practical operating experiences. The higher the control accuracy,...
This paper is focus on knowledge expression and reasoning model for diagnosing tomato diseases with an expert system. We found fuzzy rules and knowledge tree can be combined well in expressing diagnosis knowledge of tomato disease. Based on the hybrid knowledge representation the expert system adopted the forward reasoning model and deep reasoning model. The result shows that the expert system has...
Decision making is important for many systems and is fundamental for situation awareness and information fusion. When a decision making process is confronted with new situations, goals and kinds of data, it must evolve and adapt. Highly optimized processes and efficient data structures generally have the disadvantage of having little flexibility or adaptability when confronted with new forms of data...
The intention of this work is to show how logic of plausible reasoning (LPR) can be successfully used for solving complex decision problems. In the following sections a decision involve the use of LPR is described, and then its operation was illustrated on the example of an expertize concerning the choice of technology for making metal products. A knowledge base on the examined group of materials...
Like other real-world problems, reasoning in clinical depression presents cognitive challenges for clinicians. This is due to the presence of co-occuring diseases, incomplete data, uncertain knowledge, and the vast amount of data to be analysed. Current approaches rely heavily on the experience, knowledge, and subjective opinions of clinicians, creating scalability issues. Automating this process...
Behavior models play an important role in analytical simulation system. However, weaknesses such as hard modeling, poor expansibility and little flexibility still exist in current models. In this paper, a behavior model is designed, which consists of Rule-based Expert system and Mission Components. The expert system has high efficient and flexible auto-decision capability. Mission Component provides...
Automated expert systems provide decision support for certain subject domain by prompting users for answers. The answers could either be a ‘yes’, ‘no’, or a selected response from multiple choice items. To date, there is no account of any expert system which allows a user to defer or revise his/her response to a particular question. Our Rules-Based Guidance (RBG) System provides such flexibility to...
Bronchopneumonia is an acute or chronic inflammation of the lungs, in which the alveoli and/or interstitial are affected. Usually the diagnosis of Bronchopneumonia is carried out using signs and symptoms of this disease, which cannot be measured since they consist of various types of uncertainty. Consequently, traditional disease diagnosis, which is performed by a physician, cannot deliver accurate...
The main aim of this work is to formalize the mechanism of resolving conflicts between statutory legal rules with a view to implementing them into a legal advisory system. The model is build on the basis of the ASPIC+ argument modeling framework. The paper presents a discussion and a formal model of the mechanism of conflict recognition as well as models of three different mechanisms of conflict solving...
Fuzzy logic has flexibility in defining fuzzy sets. Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. The two fold fuzzy set will give more information than the single membership function. In this paper, two fuzzy set is studied with two membership functions “Belief” and “Disbelief”. The Fuzzy Certainty Factor (FCF) is difference between “Belief” and “disbelief”. The...
It is the purpose of this article to discuss about the definitions of Artificial Intelligence, Cognitive System and Cognitive Radar. Moreover, the concepts of Cognitive Radar will be described in this paper as their principal components, the technologies required to support these and Cognitive Radar Network.
With the rapid development of space technology, the working safety and reliability of aero engine have attracted more and more attention. As the heart of the plane, aero engine has the high cost of development, and the quality of its performance affects directly the flight efficiency, reliability and economy of aircraft. It is difficult to diagnose the failure of aviation equipment by using few sample...
The main purpose of computational awareness (CA) is to make our human beings more aware. A well designed aware system should be able to detect novel events, inform us when the events occur, and tell us what to do. In many cases, we may not trust the machine. We want to know the reasons why the event is novel, and why we should take certain actions if an event is observed. For this purpose, it is important...
Online fuzzy expert systems can be used to process data and event streams, providing a powerful way to handle their uncertainties and their inaccuracy. Moreover, human experts can decide how to process the streams with rules close to natural language. However, to extract high level information from these streams, they need at least to describe the temporal relations between the data or the events...
We human beings are often careless, forgetful and ignorant. We often miss good timing for capturing chances or avoiding risks. Computational awareness (CA) can help us to be more aware. An aware system can distinguish novel events from normal ones, inform us when the novel events are detected, and tell us the correct reaction. In many cases, we are interested in knowing reasons why certain situations...
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