Expert System Technology Research Articles

Production expert system to determine aircraft take-off and landing performance

This paper deals with the design of automated system for take-off and landing performance computing which is applicable to a wide range of aircrafts. The designed solution uses expert systems technology based on rules. The algorithm for logical inference of the expert system is developed.

Design and implementation of international agricultural and biological engineering expert management system based on WEB mode

Agriculture and biological engineering are the foundation of agricultural modernization, and related countries have also issued relevant policies to guide the development of agriculture and biotechnology. Agricultural and biological engineering experts are the intellectual resources in the field. At present, there is less research on the management and maintenance of agricultural and biological engineering experts, and there is a lack of software systems in this area. In order to realize the management and maintenance of agricultural and biological engineering expert information, a service platform for the international agricultural and biological engineering expert system based on the B/S framework has been developed. The background of the system used C# as the development language, and the foreground used JavaScript technology and Bootstrap. The software adopted ASP.NET MVC as the web development framework and used the Entity Framework to operate the SQL Server background database. The system has the function of searching and querying agricultural and biological engineering expert information according to keywords, and implements the functions of adding, deleting, and modifying data records, and the function of generating spreadsheets and importing spreadsheet data. The development of this system provides effective management tools for the maintenance and construction of agricultural and biological engineering expert databases and lays a good foundation for the construction of agricultural and biological engineering think tanks. Keywords: agricultural and bioengineering engineering, expert management, WEB mode, conditional search, think tanks, Asp.net MVC, bootstrap, entity framework technology DOI: 10.25165/j.ijabe.20201306.5759 Citation: Shen J B, Tan L W, Wang Y K. Design and implementation of international agricultural and biological engineering expert management system based on WEB mode. Int J Agric & Biol Eng, 2020; 13(6): 195–200.

Development and application of knowledge-based software for railcar frame welding process

As main welded components of the rail vehicle, the railcar frames have specific needs in preparing a suitable welding document for each welded joint to guide the welding process during the manufacturing process. In this paper, the expert system and database technology are introduced into the field of rail vehicle welding process preparation, and a knowledge-based software for railcar frame welding process is developed. This system could maintain the normal operation of the enterprise rail welding system based on knowledge base and database. The numerous paper-based and fragmented electronic documents are stored in a unified format within the system’s database, and a reasoning mechanism based on Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR) is designed to intelligently match the welding procedure specification (WPS) and welding procedure qualification report (WPQR) online. Furthermore, the system supports multiple departments and personnel by integrating the function of workflow to carry out the WPS prepare and review process. Thousands of welded joints with various structures and complex positions in the same vehicle body can be aggregated into a welding summary table to reduce the repeated welding procedure qualifications (WPQ) of the same or similar welding joint. This method not only saves manpower and resources, but also ensures the accuracy of these process documents. In the end, the future development trend of this kind of application software is prospected.

Expert system application: the smart tools for citrus pest and disease management

Expert system technology of the citrus pest and diseases was created by Indonesian Citrus and Subtropical Fruits Research Institute (ICSFRI). This technology was developed to overcome problem with delayed disease monitoring. If the pest attack was not immediately resolved, it would cause more serious damages to the plant and would cause decreasing in the quantity and quality of the citrus yield. In order to anticipate the delay in control, an observation or monitoring carried out during the critical period of the plant was necessary to be done. This technology was in the form of a web-based or android-based program or software application system that was used to monitor citrus pest and disease. The use of this expert system application had been validated in several citrus center areas in Indonesia, i.e. Jember and Banyuwangi, East Java; Sambas - West Kalimantan; Barito Kuala - South Kalimantan and Bangli - Bali. Observation using this application, the data of pest and diseases status at a certain time and location were automatically be recorded in the system and immediately would be known whether or not the control was needed. Thus, the use of this technology as a tool for monitoring citrus pests and disease can be used as a reference for Early Warning System on citrus pest and disease control.

Designing an AI Expert System

Expert systems technology, as a category of computer based artificial intelligence, offers a number of possibilities for further automation and improvements in managing office documents. Because of its potential, expert systems represent an interesting subject for study and implementation. To design and develop an expert system application is a challenge. Different expert systems are already being applied in many areas of human activity. Classification of different subject domains is of the popular targets of expert systems. Yet, there are not many expert systems developed for office document management. In the book, Artificial Intelligence--Programming Techniques in Basic, an elementary expert system is described as one of the easiest computer programs to develop from a programming standpoint.(1) When developing an expert system, it is only necessary to ask a series of questions; input the answers; have a series of IF-THEN statements to eliminate any conclusions that do not fit the data provided; and print the conclusions that were not eliminated. This knowledge, combined with some skill with the QUICKBASIC programming language, coupled with the author's understanding of the scheme for classification of office documents in the International Civil Aviation Organization (ICAO), gave impetus to the project. It was named a Classification of Office Documents Expert System, abbreviated as CLOD-X. The project became more than just a design and development of a single application. It became a means to learn and understand expert systems technology as a category of artificial intelligence. It also became a gateway to the exploration of possibilities for wider use of what expert systems can offer to records and document management within the contemporary office environment.

Development of Software for Computing of Aircraft’s Takeoff and Landing Characteristics Using Expert System Technology

The principles of expert system are proposed in the development of software application for calculations of rational takeoff and landing characteristics. The modular architecture is developed for the process of takeoff and landing parameters calculations in the system. A prototype of a client-server software application for electronic flight bag based on tablet computer was developed on the example of a specific type of Russian aircraft. A post-publication change was made to this article on 21 February 2020 to correct an author name.

Design and implementation of international agricultural and biological engineering expert management system based on WEB mode

Agriculture and biological engineering are the foundation of agricultural modernization, and related countries have also issued relevant policies to guide the development of agriculture and biotechnology. Agricultural and biological engineering experts are the intellectual resources in the field. At present, there is less research on the management and maintenance of agricultural and biological engineering experts, and there is a lack of software systems in this area. In order to realize the management and maintenance of agricultural and biological engineering expert information, a service platform for the international agricultural and biological engineering expert system based on the B/S framework has been developed. The background of the system used C# as the development language, and the foreground used JavaScript technology and Bootstrap. The software adopted ASP.NET MVC as the web development framework and used the Entity Framework to operate the SQL Server background database. The system has the function of searching and querying agricultural and biological engineering expert information according to keywords, and implements the functions of adding, deleting, and modifying data records, and the function of generating spreadsheets and importing spreadsheet data. The development of this system provides effective management tools for the maintenance and construction of agricultural and biological engineering expert databases and lays a good foundation for the construction of agricultural and biological engineering think tanks. Keywords: agricultural and bioengineering engineering, expert management, WEB mode, conditional search, think tanks, Asp.net MVC, bootstrap, entity framework technology DOI: 10.25165/j.ijabe.20201306.5759 Citation: Shen J B, Tan L W, Wang Y K. Design and implementation of international agricultural and biological engineering expert management system based on WEB mode. Int J Agric & Biol Eng, 2020; 13(6): 195–200.

English

Institutional arrangements for making the benefits of expert information systems technology available to state enterprises in South Africa have been impacted by information asymmetry. The proliferation of infrastructure improvements has become palpable, hence the necessity to address information asymmetry in the public sector. The reliance on the private sector for expertise and knowledge has exacerbated the information asymmetry gap. A systematic literature review was done on 102 articles using words such as public value, return on government investments, public-private partnerships governance and public accountability, risk management, risk-sharing, and information asymmetry. Content analysis with the use of ATLAS/TI an automated tool was used to analyse the 102 articles that were published in management journals, conference proceedings, and books. The struggle faced by the public sector to overcome information asymmetry was discussed and described. The findings indicated that there is a specific gap in the literature relating to information asymmetry, regarding information and communication technology service delivery using PPP contracts. The contribution of this paper provides literature on information asymmetry and the management of PPP contracts. The employment of skilled information technology professionals in the public sector could eliminate the dependency on private sector resources, thereby minimising the risk of information asymmetry. Key words: Governance, risk sharing, public value, accountability.

An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad workers

In this abstract we would like to provide some exciting concrete information including the article's main impact and significance on expert and intelligent systems. The main impact is that the PTC expert intelligent system fills in the gaps between the human and software decision making processes. This gap analysis is analyzed via empirical triangulation of rail worker data collected from its groups, individuals and the rail industry itself. We utilize an expert intelligent system PTC information technology application to both measure and to improve the alertness of the groups and workers in order to improve the overall safety of the railways through reduced human errors and failures to prevent accidents. Many individual differences in alertness among military, railroad, and other industry workers stem from a lack of sufficient sleep. This continues to be a concern in the railroad industry, even with the implementation of positive train control (PTC) expert system technology. Information technology aids such as PTC cannot prevent all accidents, and errors and failures with PTC may occur. Furthermore, drug interventions are a short-term solution for improving alertness. This study investigated the effect of sleep deprivation on the alertness of railroad signalmen at work, individual differences in alertness, and the information technology available to improve alertness. We investigated various information and communication technology control systems that can be used to maintain operational safety in the railroad industry in the face of incompatible circadian rhythms due to irregular hours, weekend work, and night operations. To fully explain individual differences after the adoption of technology, our approach posits the necessary parameters that one must consider for reason-oriented action, sequential updating, feedback, and technology acceptance in a unified model. This triangulation can help manage workers by efficiently increasing their productivity and improving their health. In our analysis we used R statistical software and Tableau. To test our theory, we issued an Apple watch to a locomotive engineer. The perceived usefulness, perceived ease of use, and actual use he reported led to an analysis of his sleep patterns that eventually ended in his adoption of a sleep apnea device and an improvement in his alertness and effectiveness. His adoption of the technology also resulted in a decrease in his use of chemical interventions to increase his alertness. Our model shows that the alertness of signalmen can be predicted. Therefore, we recommend that the alertness of all railroad workers be predicted given the safety limitations of PTC.

Dependence structure of Gabor wavelets based on copula for face recognition

Low resolution, difficult illumination and noise are the important factors that affect the performance of face recognition system. In order to counteract these adverse factors, in this paper we propose copula probability models based on Gabor wavelets for face recognition. Gabor wavelets have robust performance under lighting and noise conditions. The strong dependencies exist in the domain of Gabor wavelets due to their non-orthogonal property. In the light of the structure characteristic of Gabor wavelet subbands, the proposed methods use copula to capture the dependencies to represent the face image. Three probability-model-based methods CF-GW (Copula Function of Gabor Wavelets), LCM-GW (Lightweight Copula Model of Gabor Wavelets) and LCM-GW-PSO (Lightweight Copula Model of Gabor Wavelets with Particle Swarm Optimization) are proposed for face recognition. Experiments of face recognition show our proposed methods are more robust under the conditions of low resolution, lighting and noise than the popular methods such as the LBP-based methods and other Gabor-based methods. The face features extracted by our methods belong to the Riemannian manifold which is different to Euclidean space. In order to deal the issue of face recognition in complex environment, we can combine the face features in Riemannian manifold with the face features in Euclidean space to obtain the more robust face recognition system by using expert system technologies such as reasoning model and multi-classifier fusion.

Simultaneous learning of reduced prototypes and local metric for image set classification

Classification based on image set is recently a competitive technique, where each set contains multiple images of a person or an object. As a widely used model, affine hull has shown its power in modeling image set. However, due to the existence of noise and outliers, the over-large affine hull usually matches fails when two hulls overlapped. Aiming at alleviating this handicap, this paper proposes a novel method for image set classification, namely Learning of Reduced Prototypes and Local Metric (LRPLM). Specifically, for each gallery image set, a reduced set of prototypes and an optimal local feature-wise metric are simultaneously learned, which jointly minimize the loss function involved the estimation of classification error probability. In doing so, LRPLM inherits the merits of affine hull with better representation to account for the unseen appearances and makes use of the powerful discriminative ability improved by the local metric. It looks like that LRPLM pulls similar image sets with the same class label “closer” to each other, while pushing dissimilar ones “far away”. Extensive experiments illustrate the considerable effectiveness of LRPLM on three widely used datasets. As we know, classification is a research hotspot in expert and intelligent systems. Different from the previous classification methods, LRPLM focuses on image set-based classification technology, while most of them are single-shot classification technology. Thus, the proposed method can be considered as an expert system technology for medical diagnosis, security monitoring, object categorization, and biometrics recognition applications.

Technical objects diagnostics systems organising

While operating, repair and reconstruction works, maintaining particular level of technical objects' reliability, are carried out. Diagnostic systems are expected to be involved in these activities. As there are a great variety of technical objects available nowadays, diagnostic systems are based on wide variety of principles. Among them neural network technology and expert system technology are the most multi-purpose. A number of particular problems, expected to be solved in developing of diagnostic systems based on technologies mentioned above, is considered in these article; namely: rationing of diagnostic indicators, creating of general purpose functional framework for evaluating particular parameters, developing of neural functional network diagnostic system, developing of two fragments of conceptual diagnostic model, describing diagnostic context and diagnostic parameters in expert system database.

Компьютерная поддержка решений пилота на этапах взлета и посадки

The use of expert system technology in a software application for decision support of pilot decisions at take-off and landing stages is proposed. Modular architecture has been developed for the process of determining take-off and landing parameters. Using a specific type of Russian aircraft as an example, a prototype client-server software application for an electronic flight tablet has been developed.

Expert systems for monitoring the technical condition of the vehicle

Problem. In order to achieve the high quality of the solution of problems, it is necessary to improve the system of technical maintenance of cars taking into account the development of computer and intellectual technologies of the present. The use of expert systems develops gradually over the entire time of the existence of the systems being studied, and therefore the evolutionary approach to their creation within the service of cars should be dominant in theoretical studies and special developments. Methodology. The theoretical and methodological basis of the research is made up of the fundamental principles of modern computer technology, service technology, scientific works of foreign and domestic scientists in the field of expert systems and information technology in the organization of technical maintenance. Goal . The goal of the study of this work is to consider the introduction of an expert system for monitoring the technical condition and diagnostics of vehicles. Results . The article considers an estimation of the possibility of using an expert system in the maintenance and diagnosis of vehicles at a service station. Originality . A detailed review of the expert system (ES classification, stages of creation and their algorithmization) as a way of obtaining, analyzing and processing diagnostic information has made it possible to determine that the expert system is the optimal way of processing and storing information that can subsequently be used as needed by a person or a machine. to meet the needs of diagnosing and servicing automobiles. Practical value. The results of the conducted research allow us to conclude that it is possible to solve an important scientific and practical task of increasing the level of monitoring and servicing vehicles using expert systems. The formalization of the technology of expert systems, the development in its framework of mathematical methods and algorithms for the formation and processing of knowledge - this is the direction for implementation when servicing cars. Key words: operation; maintenance; diagnostics; expert system; knowledge base; vehicle.

MEDIA PEMBELAJARAN SERVIS DAN REPARASI MOBIL BERBASIS SISTEM PAKAR (Studi Kasus di SMK Kyai Ageng Pandanaran)

SMK Kyai Ageng Pandanaran Semarang is one of the private vocational high school that want to improve quality of teaching and learning to produce quality graduates. During these teaching and learning methods that are used less than maximum, students are easily saturated, study time is limited and there are no facilities for new teachers to learn service and auto repair material efficiently. The authors develop a learning media services and auto repair expert system based that aims to resolve the issue.
 Learning media is developed by prototype approach. Expert system technology advanced trace method is applied into the learning media through the facilities of diagnosis and troubleshooting to help new teachers and student learning to identify the damage automobile. Database can be managed and updated by senior teachers by utilizing the MySQL database and PHP programming language. In addition, this learning media also features video demonstration of the *.swf file and the theoretical material in the form of a *.pdf file.
 The results of the development has produced a new system of web-based expert system as a supplement learning media services and auto repair in the process of teaching and learning activities.

A Framework for “Just-in-Time Learning” Decision Support in Organizations

This article describes an integrated “Just-in-Time Learning” framework for providing decision support in organizations. The framework emerges from years of work with the national laboratories and facilities that are under the direction of the United States Department of Energy. The article begins by describing expert systems technology and how it has been used to provide decision support in organizations. This is followed by a discussion of the strengths and weaknesses of expert systems technology for this purpose. Next, a “Just-in-Time Learning” framework is introduced where the theoretical foundation for the framework is described. Afterwards, the other aspects of the framework including the types of knowledge, learners it serves, and how the framework can be utilized for decision support are detailed. Finally, a discussion section summarizes how a Just-in-Time Learning Framework can achieve some of the strengths -- while overcoming some of the weaknesses -- of expert system technology for providing decision support in organizations.

The Technology of the Learning Process Management Expert System in Higher Educational Institutions

The present paper considers the development of learning process management expert system in higher educational institutions, based on the ontological approach. The purpose of research is an improve the effectiveness of decision making during the management of learning processes by using intelligent management methods and modern approaches to knowledge modelling. The methodology of solving the set task is based on models and methods of knowledge representation usage, the artificial intelligence theory, expert methods of decision-making and general theoretical principles of the control theory, and the theory of decision-making. Authors conducted a qualitative analysis of the domain knowledge, which allowed distinguishing and formalizing main concepts and relations between them. Authors suggested a methodological approach to the construction of the learning process management system, which allows implementing knowledge-based approaches to the development of information systems in the domain knowledge of learning process management. Authors also developed the structure and formal description of the ontology of the learning process in higher educational institutions, which allows reusing the suggested solutions. Research results were implemented in the expert information system; they can be used in practice in learning process management in higher educational institutions.

Study of LED array fill light based on parallel particle swarm optimization in greenhouse planting

Agricultural productivity is crucial to the economy. The output and quality of crops have a direct impact on people’s daily lives and a country's food and clothing. Therefore, harvesting high-quality crops efficiently and maximizing yield per unit area are the most important goals pursued by farmers. As an important parameter of plant growth, light intensity is one of the important factors that affects plant growth and development, morphological establishment and accumulation of functional chemical substances. When light intensity cannot meet the plant’s needs, the optimal light intensity or uneven light distribution will have a greater impact on plant growth and development. This paper aims to address the optimal plant light intensity problem. The paper presents an expert system technology database storing the empirical value of real-time light intensity values and compares it with a parallel particle swarm optimization algorithm to identify the optimal locations where LED lights need to be turned on and where drive circuit lit LED arrays need to be situated, to identify the number of LED fill lights and to solve light intensity optimization problems.

Development of an Expert System Tool for the Selection of Procurement System in Large-Scale Construction Projects (ESCONPROCS)

The human knowledge of a specific domain is dissipated either in books and journals or exists in the minds of few human experts. Expert system technology, which is of late becoming an important tool, uses the power of the human brain to store knowledge electronically so that information regarding decision-making can easily be accessed at anywhere and at any time. More often than not most decisions in the industry are based on just subjective decisions. But since each project is different from the other, there is the need to integrate heuristic approach in other to arrive at better decisions. Therefore the system, ESCONPROCS (Expert system for construction procurement selection) which is an expert system tool was developed based on extensive literature review of the available procurement systems as well as clients’ priorities and other external factors that influence the selection of an appropriate procurement system. An expert survey was conducted and their responses were used to provide a recommendation for the rules. The system, ESCONPROCS is developed to assist decision-maker (client) reaches a more informed decision on procurement system selection and contracting.

The diagnose of oil palm disease using Naive Bayes Method based on Expert System Technology

Expert system is dealt with system that used computer-based human intelligence to overcome particular problem which is commonly conducted by an expert. Frequent problem faced by the farmers of oil palm is the difficulty in defining the type of plant disease. As a result, the delay treatment of plant disease brings out the declining of farm products. An application system is needed to deal with the obstacles and diagnosing the type of oil palm plant disease. The researcher designed an intelligence-based application with input-output plan which is able to diagnose the type of oil palm plant disease by applying naive bayes method. Based on the research result by conducting bayes method with recognized symptom, diagnose of oil palm plant disease could be accomplished. The data of symptoms found are leaves turned yellow 0.4, dead leaves 0.4, black and brown color among the veins of leaves 0.5, young and old fruit with whole space 0.4, and decay of bunches is 0.3. The roots are tender in the amount of 0.5, and damage on sheath is 0.3. Through the chosen symptoms as mentioned above, the value of bayes is 80% with the type of disease is rotten bunch.