Expert System Technology Research Articles

Automated interpretation of key performance indicator values and its application in education

Business intelligence applications are supposed to provide accurate, on-time reports to business analysts and executives. However, when the latter are concerned, it seems that reports they receive just contain tabular and/or visualized data (charts, dials and other visualizations) and little or no information. No matter how well presented, data has no meaning unless it is interpreted – only then it becomes information and only then can it provide actionable insight (knowledge) into how business is doing. Since this interpretation is performed manually by users, numerous issues can affect the quality of derived information: data volume and presentation, user’s concentration, previous knowledge, experience, bias, etc. A solution for automated interpretation of (business) key performance indicator values is presented in this paper. It uses domain knowledge and expert system technology to transform business data into information. Information is then presented as natural-language-like sentences and incorporated into reports. An implementation of this solution and its application as an educational tool are presented and evaluated.

Research on the Application of Geographic Information System in Tourism Management

The 21st century is the era of information economy. With economic development and social progress, people's material and cultural standard of living continues to improve and leisure time continues to increase, tourism has become increasingly popular as a kind of leisure way. The geographic information system applied to tourism management is the preferred platform of tourism information. On the basis of introducing the concepts of Geographic Information System (GIS) and Travel Geographic Information System (TGIS), this paper illustrates the role that the geographic information system plays in tourism management. Tourism has a strong geographical attributes. And GIS itself is information system offering services to geographic research and decision-making, which can play a role in tourism management. In particular, possessing the functions, such as data collection, storage, processing, spatial analysis and so on, GIS directly provides services for tourism management. The roles of GIS in tourism management are mainly in the following areas: conducting tourism information management; being able to produce a comprehensive thematic map. The paper analyzes the existing problems of GIS applications in tourism management. Take a panoramic view of the current technology and management system, the key technology and problems to establish TGIS are: the construction of tourism geographic information database; the establishment of data structure and the data model; the design of Tourism Geographic Information Database System. The essay also proposes the development prospects of the combination of GIS with new information technologies. GIS applied in Tourism Management has played a significant role. At the same time, it should be noted that information technology continuously changes, GIS applied in tourism management also need to improve according to the development of information technology to adapt to the information technology development. Looking the prospects of GIS applied in tourism management, the following areas need to be improved: RS, GPS as supplementary means applied to GIS data collection and update to enhance information collection ability of the system; combining the multimedia and virtual technology with GIS to enhance the attractiveness of the system for tourists; Combining the expert system technology with GIS to enhance the capacity of the system to solve travel problems.

Study on Safety Risk Identification System (SRIS) for Metro Construction

Metro construction is gradually moving into high gear in China. However, safety incidents in metro projects have occurred frequently in recent years. Risk identification is crucial to safe construction. In order to solve problems in the current approach of risk identification, such as too much reliance on expert participation, low efficiency and so on. Safety Risk Identification System (SRIS), a combination of expert system technology and risk identification method, is researched and developed for metro construction. Through the knowledge integration process, fragmented and dispersed experiential knowledge in risk identification field on metro construction, is changed into rule base which can be directly invoked. By this way, SRIS helps realize knowledge sharing as well as risk identification automation, with important practical significance for safe construction nowadays.

Study on Safety Risk Identification System (SRIS) for Metro Construction

Metro construction is gradually moving into high gear in China. However, safety incidents in metro projects have occurred frequently in recent years. Risk identification is crucial to safe construction. In order to solve problems in the current approach of risk identification, such as too much reliance on expert participation, low efficiency and so on. Safety Risk Identification System (SRIS), a combination of expert system technology and risk identification method, is researched and developed for metro construction. Through the knowledge integration process, fragmented and dispersed experiential knowledge in risk identification field on metro construction, is changed into rule base which can be directly invoked. By this way, SRIS helps realize knowledge sharing as well as risk identification automation, with important practical significance for safe construction nowadays.

Research on the Key Technology of Multi-Target Evaluation for Products

The thesis systematically researches the theory and methodology of multi-target industrial design evaluation with computer-aided technology. A prototype of multi-target industrial design evaluation system based on the expert system technology has been structured. The system includes three sub modules：evaluation target tree, evaluation target tree model and evaluation toolkit. The construction, content and realization of the four models are discussed in details. Last, this system has been validated according to an instance.

A Research of Direction Expert System Technology for Aircraft Maintenance

An direction expert system for aircraft maintain with expert knowledge graphical building, three layers distributed web service, distance fault diagnosis and gather experience ability is introduced here. It is developed based on Delphi 6.0 utilizing multilayer web service, CLIPS expert system and SQL SERVER database technology.

Triggers and Monitoring in Intelligent Personal Health Record

Although Web-based personal health records (PHRs) have been widely deployed, the existing ones have limited intelligence. Previously, we introduced expert system technology and Web search technology into the PHR domain and proposed the concept of an intelligent PHR (iPHR). iPHR provides personalized healthcare information to facilitate users' daily activities of living. The current iPHR is passive and follows the pull model of information distribution. This paper introduces triggers and monitoring into iPHR to make iPHR become active. Our idea is to let medical professionals pre-compile triggers and store them in iPHR's knowledge base. Each trigger corresponds to an abnormal event that may have potential medical impact. iPHR keeps collecting, processing, and analyzing the user's medical data from various sources such as wearable sensors. Whenever an abnormal event is detected from the user's medical data, the corresponding trigger fires and the related personalized healthcare information is pushed to the user using natural language generation technology, expert system technology, and Web search technology.

An Application of Estimate Expert System Technology for Burrless Rubber Mould Manufacturing Process

Rubber products have durable, lightweight, and shockproof properties, which allow them to be used in various industries. As demand on products with elaborate shape and parts and minimized occurrence of burrs has increased in high-precision industries, particularly in IT, BT, and NT, moulding technology becomes an essential technology to develop core objects composing frames for assembly and elementary parts that produce ultra small machines and basic components of MEMS and NEMS. Despite the technological demand, rubber-related moulding technology has not been standardized, and its total process – shaping, design, production, and test – has not been systemized, which results in low productivity in rubber products. This study is to standardize and systematize the rubber product production process by evaluating the cost estimation of moulding production process and to improve occurring problems during the process. The subject of the study was burrless rubber product moulding process.

Automation Bridge Design and Structural Optimization

This paper summarizes the structural optimization applications in civil engineering design and development of the situation based on the characteristics of the bridge structure design process is proposed for the bridge project to the genetic algorithm, neural network, expert system technology as the basis for combining automated design and optimization of structural design of the system; as basic idea, given the structure design of automation system design and optimization of the overall design framework, and prestressed beam design automation is simply an example of structural design and optimization of design automation. Finally, a brief summary of the development process of bridge design software, design automation and optimization that the inevitable trend of development.

Research on Intelligence Analysis System for Karst Water Inrush Geological Risk Assessment during Tunnel Construction

With Yichang-Wanzhou Railway project being taken into account, this article systematically analyzes the control factors of geological hazard in tunnel construction including stratum, lithology, fold, rupture and groundwater seepage,etc, establishes hazard assessment index system, and induces the underlying principle and methods of index assignment. On the basis of the theory and technology of expert system, this article develops an intelligence analysis system for karst water inrush geological hazard risk assessment in tunnel construction, explores the construction method of karst water inrush geological hazard expert system and the implementation of software platform, and takes Qiyueshan Tunnel as an example to make the research of engineering application.

Intelligent problem solving in process control of an event filter cluster for a particle physics experiment

Modern particle physics experiments observing collisions of particle beams generate large amounts of data. Complex trigger and data acquisition systems are built to select on-line the most interesting events and write them to persistent storage. The final stage of this selection process nowadays often happens on large computer clusters. The stable and reliable operation of such event filter clusters is critical for the success of these experiments. Operating the event filter cluster must ensure dead time free processing of large amount of data, requiring 24-h continuous status monitoring of each processing node, and fast detection and problem solving. Ideally, problems should be recognized before they deteriorate the system performance. The process control of the event filter cluster is performed exclusively by a human operator, placing high demands difficult to accomplish. In this paper, a hybrid system based on expert systems technology and statistical tools and methods is proposed to address this issue. The system is built upon a scalable modular architecture and a design overview is given. The proposed hybrid system is designed and tested in a real environment, with an event filter cluster prototype based on the architecture of the Compact Muon Solenoid experiment at CERN. The system test results with an analysis are provided. Finally, the future possibilities are discussed.

Intelligent Personal Health Record: Experience and Open Issues

Web-based personal health records (PHRs) are under massive deployment. To improve PHR's capability and usability, we previously proposed the concept of intelligent PHR (iPHR). By introducing and extending expert system technology and Web search technology into the PHR domain, iPHR can automatically provide users with personalized healthcare information to facilitate their daily activities of living. Our iPHR system currently provides three functions: guided search for disease information, recommendation of home nursing activities, and recommendation of home medical products. This paper discusses our experience with iPHR as well as the open issues, including both enhancements to the existing functions and potential new functions. We outline some preliminary solutions, whereas a main purpose of this paper is to stimulate future research work in the area of consumer health informatics.

Application of Expert System with Fuzzy Logic in Teachers’ Performance Evaluation

This paper depicts adaptation of expert systems technology using fuzzy logic to handle qualitative and uncertain facts in the decision making process. Human behaviors are mostly based upon qualitative facts, which cannot be numerically measured and hardly to decide correctly. This approach is an attempt to cope with such problems in the scenario of teachers’ performance evaluation. An Expert System was developed and applied to the acquired knowledge about the problem domain that showed interesting results providing a sketch for students and researchers to find solutions of such types of problems. Through Fuzzy Logic we numerically weighted the linguistic terms, like; very good, good, bad, or high, medium, low or satisfied, unsatisfied by assigning priorities to these qualitative facts. During final decision making, key parameters were given weights according to their priorities through mapping numeric results from uncertain knowledge and mathematical formulae were applied to calculate the numeric results at final. In this way this ES will not only be useful for decision-makers to evaluate teachers’ abilities but may also be adopted in writing Annual Confidential Reports (ACR) of about all the employees of an organization.

Printed Circuit Board Assemble Process Decision-Making System Based on Knowledge

Now, the prophase preparation work of PCA process planning takes longer time, and it is prone to errors and lacks of through consideration and optimization. In addition, PCA process planning does not retain abundant knowledge and experience by good technological tool and means. This situation has no longer been suitable for the current development speed of PCA product. The purpose of this paper is to satisfy with efficient PCA process planning by using expert system technology with PCA process characteristic. A PCA process design-making expert system based on knowledge is designed and developed. This paper also shows system work-flow, knowledge management and process decision-making flow in detail.

ChemInform Abstract: RUBIDIUM, a Program for Computer-Aided Assignment of Two-Dimensional NMR Spectra of Polypeptides

Taking advantage of the rule-based expert system technology, a program named RUBIDIUM (Rule-Based Identification In 2D NMR Spectrum) was developed to accomplish the automatic 1H NMR resonance assignments of polypeptides. Besides noise elimination and peak selection capabilities, RUBIDIUM detects the cross-peak patterns of amino acid residues in the COSY spectrum, assigning these patterns to amino acid types, performing sequential assignments using combined COSY/NOESY spectra, and finally, achieving the total assignment of the 1H NMR spectrum.

Web-based expert systems and services

AbstractWeb-based expert systems (WBESs) provide the benefits of both expert system technology and web technology. The use of web services to deliver functionalities of WBESs allows the integration of these systems in web-portals. WBESs are used in a diversity of areas like engineering, management, medicine, agriculture, education, tourism, finance etc. A study on the various features of WBESs like knowledge-representation, reasoning, languages, implementation tools, use of various web services-related processes such as discovery, selection, composition etc. can result into some interesting conclusions. Presented work tries to fulfill the same purpose. The paper presents various WBESs classified according to their use of domain. The comparisons, observations, and assessments of these systems are presented by emphasizing the above-mentioned features of WBESs. A discussion on different web services-related processes and some representative techniques for performing each has also been provided to clarify their use in the WBESs. On the basis of assessments and surveys from different perspectives, some remarkable conclusions are drawn.

Preliminary establishment of core collection in <I>Houttuynia cordata</I> Thunb of Huaihua

In order to solve the problem of the maze precision fertilizer,soil fertility evaluation,soil fertility classify and yield projections,the geographic information system with spatial information processing functions,spatial data mining techniques with spatial information analysis capabilities,expert system technology in the field of artificial intelligence,traditional information management systems and decision support system were effectively integrated in this study,and the statistical analysis method of GIS and data visualization were combined to design and implement the maize precise intelligent space decision-making system.This system had greatly improved the decision-making ability in agricultural production carried out by agricultural management.

Study on Knowledge Expression Methods and Reasoning Strategies in Intelligent CAD System

As the core of intelligent computer aided design (ICAD), the expert system with the purpose of product design automation and intelligence has been developed rapidly. Knowledge expression, management, utilization, and access method has always been the core of artificial intelligence and expert system technology , Substantial literature both at home and abroad involved in the content and achieved certain results in the area of design. In the aspect of knowledge expression and management, including: the knowledge expression based on gene model[3], the knowledge expression based on design pattern[4], the knowledge expression based on Petri net, mixed knowledge expression, and so on. In the aspect of system reasoning, including: fuzzy reasoning[5,6], ccase-based reasoning[7], integration reasoning, and so on. This paper mainly introduces some technologies and methods about electrical products at ICAD system with the above-mentioned two aspects. As a sub-system of ICAD system, the expert system for electrical apparatus designing was studied in the artificial intelligent technologies, including the way to build a large knowledge database managed by multi level frames and expressed by various knowledge expression methods, and the reasoning strategy suitable for the structure of knowledge database and integrated rule-based reasoning (RBR) with case-based reasoning (CBR) together. Based on these technologies, two-level expert system controlled by meta reasoning machine was built so that the reasoning efficiency was boosted very strongly.

Automatic Music Synchronization Using Partial Score Representation Based on IEEE 1599

In this paper, a novel multimedia transmission server is designed using rule based expert system technology. It is superior on current media transmission servers because it is more powerful on streaming, flexible on control, and reliable on maintenance. In the proposed expert server, working parameters and management methods are separated from the decision-making procedure and stored in an xml database called knowledge base. The server fires different transmission strategies inside the knowledge base by runtime inference. Thus it can easily adjust transmission parameters under various environments and adopt new developed methods without significantly changing the main body of server codes. In this paper, we not only analyzed the time complexity of inference procedure and the real time characteristics of the server, but also tested the server performance on local area networks. Results showed that the expert system can deliver smooth streams with around 50% deduced throughput oscillations when compared with a single rate control method. The saved 50% bandwidth could be used for supporting more users. When congestion happened, the expert system reacts intelligently and conducts cooperative steps to relocate its resources. At the same time, the congestion related information is recorded and referred for future congestion avoidance. Attractively, these enhanced performances are achieved by taking less than 10% of the CPU time for the execution of the expert server control program.

Evaluating corporate performance within the frame of the expert systems technology

An expert systems methodology is presented in this article for supporting decisions that concern the evaluation of the overall corporate performance of firms, on the basis of financial analysis. The advantage of the methodology is that it provides no uniform evaluation of firms, but specialised evaluations per industry, since the firms that participate in the evaluation process are categorized in classes, with respect to their corresponding industry. In this way the major issues of time trend and competition between rival firms is achieved to be fully taken into consideration. Finally, the validity of the proposed methodology is tested through an illustrative application.