Expert System Technology Research Articles

Systematic review of knowledge acquisition and representation techniques

The need to create mechanisms or systems to acquire, represent and convey knowledge is one of the problems that has been given priority in the passing of the years of research, the need for acquisition has generated the need for more compact models that conserve implicit and explicit knowledge generated within their organizations. In this environment, due to the change that has generated knowledge management, companies recognize the importance of the management of these intangible assets, as a requirement to stay in the market and adapt to organizational and technological changes, each organization must find its own way and recognize that intellectual capacity has become an important factor for the success of organizational development. The aim of this paper is to present the results of a systematic review of the literature by which we identify some acquisition techniques and knowledge representation, that can be replicated in organizations to leverage internal and external knowledge to the organization and achieve advantages sustainable competitive . The results present management techniques related to the culture and values organizational as well as the definition of different types of alliances also identified as expert systems technologies and social tools as useful for the acquisition and representation of knowledge.

A Review on Expert System Applications in Power Plants

The control and monitoring of power generation plants is being complicated day by day, with the increase size and capacity of equipments involved in power generation process. This calls for the presence of experienced and well trained operators for decision making and management of various plant related activities. Scarcity of well trained and experienced plant operators is one of the major problems faced by modern power industry. Application of artificial intelligence techniques, especially expert systems whose main characteristics is to simulate expert plant operator’s actions is one of the actively researched areas in the field of plant automation. This paper presents an overview of various expert system applications in power generation plants. It points out technological advancement of expert system technology and its integration with various types of modern techniques such as fuzzy, neural network, machine vision and data acquisition systems. Expert system can significantly reduce the work load on plant operators and experts, and act as an expert for plant fault diagnosis and maintenance. Various other applications include data processing, alarm reduction, schedule optimisation, operator training and evaluation. The review point out that integration of modern techniques such as neural network, fuzzy, machine vision, data base, simulators etc. with conventional rule based methodologies have added greater dimensions to problem solving capabilities of an expert system. DOI: http://dx.doi.org/10.11591/ijece.v4i1.5025

On-line Modelling and Assessment of the State of Technosphere and Environment Objects based on Monitoring Data

This paper presents an approach of operational control of the state of technosphere and environment objects based on the integration of Data Warehouse, OLAP and Expert systems technologies. It looks at the structure of data warehouse that provides consolidation and storage of monitoring data. There is a description of OLAP-models that provide a multidimensional analysis of monitoring data and dynamic analysis of principal parameters of controlled objects. The authors suggest some criteria of emergency risk assessment using expert knowledge about danger levels. It is demonstrated now some of the proposed solutions could be adopted in territorial decision making support systems. On-line control allows authorities to detect threat, prevent emergencies and ensure a comprehensive safety.

A Web-Based Knowledge Management Tool Utilizing Concept Maps for On-Line Student Advising

INTRODUCTION University students are being forced to work within an increasingly complex curriculum environment (Phillips, 2013). This situation has come about because of a number of factors which include the proliferation of programs within the university, the dynamic nature of course offerings and pre-requisite structures, and the prevalence of on-line and mixed-mode courses. One of the main outcomes of this situation is that students require more individual advising than in the past to avoid course selection errors (Bansal et al., 2003; McMahan, 2014). At the same time, the traditional advising model where a student meets one-on-one with an advisor is being replaced with an increasing reliance on Internet-based advising resources designed for self-advising. (Harris & Harbsteit, 2003; Erickson et al., 2007; Hornak, 2010) Taken together, these two factors create a situation where students are highly dependent on Internet-based resources to navigate an increasingly complicated curriculum structure. In isolation, this would not be cause for concern; however, the reality that most university websites are not designed for this purpose creates the perfect storm that is addressed by this research (Kleemann, 2005). Namely, how can students in higher-education programs receive accurate advising in a dynamic curriculum environment using Internet websites that are not optimized to provide this content? Failure to deal with this situation causes problems for students and university administrators alike. From the students' perspective, course selection mistakes are expensive because they can delay graduation and postpone entry into the workforce (Phillips, 2013). In the meantime, student loans continue to accrue interest and earning prospects are put on hold. From the university administration standpoint, advising mistakes are bad because poorly advised students frequently require special consideration, policy deviations, and can expose the institution to potential legal liability (Swanson, 2006; Ford, 2010). These policy exceptions and related problems dilute the enforcement of the rules and potentially place the institution in jeopardy with accrediting agencies. Various solutions to this problem have been suggested by the literature. Some solutions involve the creation of standalone advising websites designed to provide only advising content (Marques, 2001). Other solutions suggested in the literature depend upon complex student information systems (SIS), some using exotic expert system technologies, to serve as proxies for human advising (Patankar, 1998; Grupe, 2002; Wittenstein & Sharma, 2002; Siegfreid et al., 2003; Hamdi, 2007; Yang et al., 2008; Ahmar, 2011). While these alternatives can be effective, all carry a significant cost. Specifically, independent advising websites often require duplicate content maintenance because they are normally built as a separate entity from the university website (so both need to be maintained). Even under ideal circumstances, some of the content of the advising website may be out of synchronization with the university site and thus provide inaccurate information (Teasley & Buchanan, 2013). Solutions utilizing SIS tools and expert systems have the dual problems of out-of-date content along with the technical considerations of gathering the advising information, converting it into a format usable by the system, and testing it to ensure that accurate advising is provided (Patankar, 1998; Ahmar, 2011). In short, the existing solutions do not adequately solve the problem. This justifies the need for the research presented in this paper. This paper describes an on-going research project intended to mitigate the student advising problem described above without incurring the complications inherent in the existing solution methods. This is accomplished by creating an intuitive interactive, knowledge management tool designed to access the Internet resources already on-line within the main university website. …

The Remote Monitoring Management and Fault Diagnosis System of the Distributed Open Numerical Control System

This paper presents the design scheme of monitoring management and fault diagnosis of open CNC system based on Internet, the system hardware structure introduces network technology three-tier monitoring mode based on field control layer and process monitoring control layer and remote fault diagnosis layer, the system software design includes CNC system management and monitoring and fault diagnosis. The paper integrates condition monitoring and fault diagnosis and expert system technology into CNC system monitoring and management, and analyzes the requirements of distributed numerical control system, and details description system model of remote monitoring and fault diagnosis system. The practice has proved that the system design of open remote monitoring and fault diagnosis is practicality and feasibility.

Design and evaluation of an adaptive and intelligent tutoring system by expert system

Nowadays, adaptive and intelligent tutoring system AITS is one of regarded topics. So researchers are trying to optimize and expand its application in field of education. This paper integrates AITS with expert system technology. It is intelligent because it can interact with learners and offer them some subjects based on pedagogy view. Learning process in this system is as follows. First, expert system plans a pre-evaluation and then calculates his score. If learner gets required score, activities will be trained. Then learner will be evaluated by a post-evaluation. After that, system offers guidance in learning other activities. For that purpose it takes into account achievements, learning context and skill levels, by analyzing other activities already carried out. The analysis is based on a set of rules. The proposed system covers all important properties such as hypertext component, adaptive sequencing, problem-solving support, intelligent solution analysis and adaptive presentation while available systems have only some of them. It can significantly improve learning result. In other words, it helps learners to study in the best way.

Research on Power Expert System Technology Integrated Fault Tree Theory and Fuzzy Algorithm

The electric power system is a complex distributed system of large dimension, nonlinear, time-varying and uncertain dynamic parameters, the control and decision need expert experience, so the experts in electric power system as the control mechanism is relatively reasonable has been increasingly recognized. Automatic generation of state warning, exception reporting, monitoring of the equipment maintenance scheme and application of expert system. In this paper, by using the fault tree logic function description and fuzzy algorithm theory research of expert system based on expert system, so that the power has more accurate knowledge base and higher correctness of reasoning, in order to needs of production and operation of the power system to meet the better.

Fuzzy Evaluation Expert System for Undergraduate Comprehensive Quality Based on Agent

Aimed at the actual demand of current evaluation job for undergraduates, based on fuzzy set theory, a new thought to make comprehensive evaluation about undergraduates was raised by combining with Agent technology and artificial intelligence expert system technology in this paper. The mathematical model for evaluation was established via weighted fuzzy evaluation method and weighted fuzzy inference method based on reliability and realized by adopting Java language under Web environment, to gain professional conclusions and suggestions for undergraduate comprehensive evaluation.

Providing Critical Laboratory Results on Time, Every Time to Help Reduce Emergency Department Length of Stay

To develop a fully automated core laboratory, handling samples on a "first in, first out" real-time basis with Lean/Six Sigma management tools. Our primary goal was to provide services to critical care areas, eliminating turnaround time outlier percentage (TAT-OP) as a factor in patient length of stay (LOS). A secondary goal was to achieve a better laboratory return on investment. In 2011, we reached our primary goal when we calculated the TAT-OP distribution and found we had achieved a Six Sigma level of performance, ensuring that our laboratory service can be essentially eliminated as a factor in emergency department patient LOS. We also measured return on investment, showing a productivity improvement of 35%, keeping pace with our increased testing volume. As a result of our Lean process improvements and Six Sigma initiatives, in part through (1) strategic deployment of point-of-care testing and (2) core laboratory total automation with robotics, middleware, and expert system technology, physicians and nurses at the Oklahoma University Medical Center can more effectively deliver lifesaving health care using evidence-based protocols that depend heavily on "on time, every time" laboratory services.

Research of Modern Information Technology on Tree Growth Management Decision Making Model

Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.

The Reliability Theory Based Expert System Research for Subway Construction Safety Risk Identification

According to the existence of uncertainty in the subway risk identification, introduced rule-based expert system technology, integrated expertise into the knowledge base, automatically identified construction parameters based on CAD drawings, discussed and designed automatic subway security risk identification expert system based on confidence factor theory. And taken underflow sand pit in subway station construction as an example, elaborated the key issues in the knowledge base construction in details, such as risk mechanism analysis, fact base structuring and rule base structuring. And proposed to combine the contribution (C(eij)) with fact credibility ( F(eij)) to confirm the evidence credibility CF(eij) =C(eij) × F(eij), solving the credibility assignment conflict when the fact of certainty and uncertainty existed simultaneously; Selected the threshold of risk conclusions credibility in representative conditions as the sub-boundary for risk potential classification, avoiding the risk omission problem. In this way, the application of expert intelligent decision technology was broadened in subway construction.

Land Utilization and Classification Based on Remote Sensing Image Analysis Expert System Technology

This paper discusses land utilization and classification based on remote sensing image analysis expert system technology. Taking the bureau department area remote sensing images as the basic information, and using MAPGIS and Ecognition software, we carry on the classification of the land. The results show that remote sensing image analysis expert system technology applies to land utilization situation and land classification, which has reference value.

Two novel nonlinear optical carbonates in the deep-ultraviolet region: KBeCO3F and RbAlCO3F2

With the rapid developments of the all-solid-state deep-ultraviolet (deep-UV) lasers, the good nonlinear optical (NLO) crystal applied in this spectral region is currently lacking. Here, we design two novel NLO carbonates KBeCO3F and RbAlCO3F2 from the first-principles theory implemented in the molecular engineering expert system especially for NLO crystals. Both structurally stable crystals possess very large energy band gaps and optical anisotropy, so they would become the very promising deep-UV NLO crystals alternative to KBBF. Recent experimental results on MNCO3F (M = K, Rb, Cs; N = Ca, Sr, Ba) not only confirm our calculations, but also suggest that the synthesis of the KBeCO3F and RbAlCO3F2 crystals is feasible.

Expert System Apt to Automatical Matching and Forming for Connecting Joint of Steel Structure

More characteristic parameters are put forward for connecting joint of steel structure and the classifying method applicable to computer software is summarized through analyzing the character of all kinds of connecting joint of steel structure. The feature system which could reason automatically and give relevant conclusion is realized by regular expert system technology.

The Design and Implementation of an Intelligent Apparel Recommend Expert System

Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention in apparel retail industry. Intelligent management and effective recommend are two issues of crucial importance for the retail store to enhance its corporate influence and increase its economic benefits. This paper proposes an intelligent recommend system design scheme for apparel retail which is based on expert system. By comprehensive utilization of database management and expert system technology, the proposed system provides a solid solution in improving the customer shopping experience. This paper presents a kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert rule on the basis of apparel characteristic elements. Through the establishment of the rule base, the system generates personal recommend list by positive rule reasoning mechanism engine. The proposed method thus gives dress collocation scheme for the customer through the human-machine interaction from the point of view of the apparel experts. This design scheme avails the customers to experience targeted service with intellectualization, and personalization and it has certain reference significance for promoting apparel retail intelligence development.

Design of Fuzzy Expert System for Selection of Candidates using the Theory of Multiple Intelligence

The paper presents design of fuzzy expert system in order to identify performance of a candidate for recruitment. In order to achieve this task, the paper has integrated two application areas: education and human resources management for recruiting efficient candidates. Every organization requires candidates who acquire excellent skills in different areas. At the same time; it is also necessary that candidates are to be classified, analyzed, evaluated and then recruited according to their skills. The main contribution of education is to extend problem solving skills in individuals. Problem solving abilities depends on several qualities like problem solving capabilities, decision making skills, intelligence, as well as positive attitude. Among all of them intelligence is one of the most crucial factor required for professional success. It is obvious that intelligence is genetically achieved by human beings as well as it can be enhanced with the help of education and technology. According to the Theory of Multiple Intelligence, human intelligence is not limited to one or two directions but there are several other equally important and valuable aspects of intelligences. In order to classify intelligence of candidates using The Theory of Multiple Intelligence, fuzzy expert system has been designed. Fuzzy Logic is utilized for representing knowledge and human reasoning in such a way that it is amenable to be processed with knowledge engineering and expert systems. The main objective of this paper is to predict the level of capabilities to work with real life problems using fuzzy expert system. Keywords: Expert Systems (ES), Fuzzy Logic (FL), Fuzzy Expert Systems, Information and Communication Technology (ICT), Theory of Multiple Intelligence (MI)

Applications of advanced data analysis and expert system technologies in the ATLAS Trigger-DAQ Controls framework

The Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment is a very complex distributed computing system, composed of more than 20000 applications running on more than 2000 computers. The TDAQ Controls system has to guarantee the smooth and synchronous operations of all the TDAQ components and has to provide the means to minimize the downtime of the system caused by runtime failures. During data taking runs, streams of information messages sent or published by running applications are the main sources of knowledge about correctness of running operations. The huge flow of operational monitoring data produced is constantly monitored by experts in order to detect problems or misbehaviours. Given the scale of the system and the rates of data to be analyzed, the automation of the system functionality in the areas of operational monitoring, system verification, error detection and recovery is a strong requirement. To accomplish its objective, the Controls system includes some high-level components which are based on advanced software technologies, namely the rule-based Expert System and the Complex Event Processing engines. The chosen techniques allow to formalize, store and reuse the knowledge of experts and thus to assist the shifters in the ATLAS control room during the data-taking activities.

Research on Expert System of High-Speed Plane Lapping Machine with NC Based on Network Knowledge Acquisition

This paper focuses on integrated development of high-speed lapping technology, expert system and network technology. Data mining objects are high-speed lapping experiments and previous experiences, in the plane high-speed lapping processing; the network technology is embedded in NC machine, through inputting the processing requirements of the work piece surface roughness, and the network expert system reasons out the appropriate processing parameters to insure precise high speed lapping.

Study on the Expert System of Human Reliability Analysis

Constructing an expert system of human reliability analysis can summarize and utilize those experience and knowledge that are accumulated for a long time in the field of missile support. It has very important significance for improving equipment support reliability. Based on the effective connection of neural network technology and genetic algorithm, knowledge, reasoning and mining process are incorporated. The basic functions, framework and realizing technology of expert system of human reliability analysis are introduced.

Computer-Tailored Intervention for Juvenile Offenders

Studies assessing the efficacy of juvenile justice interventions show small effects on recidivism and other outcomes. This article describes the development of a prototype of a multimedia computer-tailored intervention (Rise Above Your Situation) that relies on an evidence-based model of behavior change, the transtheoretical model, and expert system technology to deliver assessments, feedback, printed reports, and counselor reports with intervention ideas. In a feasibility test involving 60 system-involved youths and their counselors, evaluations of the program were favorable: 91.7% of youths agreed that the program could help them make positive changes, and 86.7% agreed that the program could give their counselor helpful information about them.