Concept Of Expert System Research Articles

Proposal for an expert system to aid decision-making in the design and management of flexible manufacturing systems

Purpose: The objective of this article is to introduce a concept for facilitating decision-making processes in the design and management of flexible manufacturing systems. This concept aims to minimize the risk of either overestimating or underestimating the flexibility and efficiency of production potential. Design/methodology/approach: The proposal involves the utilization of a hybrid expert system, incorporating a combination of rules, scenarios, and semantic schemes to construct a comprehensive knowledge base. This system also integrates fuzzy logic, artificial neural networks, and agent systems with expert systems. Findings: The proposed concept of a hybrid expert system allows for the management of flexible manufacturing systems across various levels, including strategic, operational, and technological aspects of production organization and management. Practical implications: The article has broad applications as it is specifically tailored to address the intricacies of flexible manufacturing systems and expert systems for facilitating decision-making processes within the production context. Originality/value: Each management level possesses its distinct characteristics, methods, and tools that can be seamlessly integrated through the use of hybrid expert systems. Category of the paper: Research paper, conceptual paper. Keywords: Expert systems, flexible manufacturing system, Industry 5.0, production management and engineering.

The Impact of Use of Expert Systems on Improving Effectiveness of Accounting Information Systems: Applied Study in Iraqi Commercial Banks

The study aimed at identifying the concept, characteristics, types, advantages, and dimensions of expert systems, and the concept and effectiveness of accounting information systems in Iraqi banks, and found a moral effect on the dimensions of expert systems (hardware, equipment, software and applications) on the effectiveness of accounting information systems in Iraqi commercial banks in their dimensions (system quality, information quality, user satisfaction). Expert systems also assist the banks accounting information systems in obtaining timely, accurate, appropriate and highly reliable financial and non-financial data and information. The study recommended the necessity of involving accountants in the development of computer-based accounting information systems in all different stages related to systems development, and the necessity of working on developing expert systems in banks in a way that suits the technical developments taking place in providing services and their different applications that take place in the business environment to meet the needs and requirements of beneficiaries.

Mobile Expert System: Exploring Context-Aware Machine Learning Rules for Personalized Decision-Making in Mobile Applications

Expert systems, a form of artificial intelligence (AI), are typically designed to solve many real-world problems by reasoning through knowledge, which is primarily represented as IF–THEN rules, with the information acquired from humans or domain experts. However, to assume such rules for personalized decision-making in an intelligent, context-aware mobile application is a challenging issue. The reason is that different mobile users may behave differently in various day-to-day situations, i.e., not identical, and thus the rules for personalized services must be reflected according to their symmetrical or asymmetrical behavioral activities. Therefore, our key focus is to solve this issue through adding personalized decision-making intelligence to develop powerful mobile applications to assist the end-users. To achieve our goal, in this paper, we explore on “Mobile Expert System”, where we take into account machine-learning rules as knowledge-base rather than traditional handcrafted static rules. Thus, the concept of a mobile expert system enables the computing and decision-making processes more actionable and intelligent than traditional ones in the domain of mobile analytics and applications. Our experiment section shows that the context-aware machine learning rules discovered from users’ mobile phone data can contribute in building a mobile expert system to solve a particular problem, through making personalized decisions in various context-aware test cases.

The role of chatterbots in enhancing tourism: a case study of Penang tourism spots

Chatterbots have been widely used as a tool for conversational booking assistance mainly for hotels such as the Expedia. This paper extends the use of chatterbot beyond booking by presenting the proof of concept of a chatterbot expert system called the VIZARD. The proposed VIZARD is developed using an expert system shell called verbot. The core of Vertbot 5 is the natural language processing (NLP) engine based on pattern matching. The core Verbot 5 engine is responsible for finding matches to a given user input string and firing the appropriate rule. The findings from the user acceptance test concluded that majority of the respondents agreed that the VIZARD expert system stands at an unbiased state while being more aligned on supporting the usefulness of the system.

Model development measurement of interests based on expert system

This article aims to develop an expert-based interest-based measurement model to provide an overview of the interests that can assist in decision making of vocational interest decisions in the vocational field to be on the right target. The method used by designing vocational interest measurement instrument by producing four personality types used as knowledge base is Tangible, Thinking, Flexible and Entrepreneur (TTFE) and integrated with expert system concept which makes a practical and efficient measurement model. The generated interest measurement model can help students quickly to overview the interest in decision making majors for higher education, can conduct online consultation, documentation, and can be used as a documentation file consultation portal at an institution.

Diagnosis Specialist System for managing Palm Oil Plantation Problems

The project that was developed is a computerize system that will be ableto diagnose problems happened to palm oil tree. Generally, there is twomain problem that always happened to palm oil tree; disease and pest.This system developed to store the knowledge in the related field into aknowledge base to help the newcomer in this field to make a decision tosettle the problem faced. To solve this problem, data driven searchtechnique applied to search for the symptom stored in the knowledgebase. The system developed using expert system concept. Based on thisconcept, a knowledge base was built to store all the knowledge compiled.Inference engine used to search the knowledge in the knowledge base.The knowledge based was stored in MySQL database and the inferenceengine was developed using PHP language.

Diagnosis Specialist System at Palm Oil

 The project that was developed is a computerize system that will be ableto diagnose problems happened to palm oil tree. Generally, there is twomain problem that always happened to palm oil tree; disease and pest.This system developed to store the knowledge in the related field into aknowledge base to help the newcomer in this field to make a decision tosettle the problem faced. To solve this problem, data driven searchtechnique applied to search for the symptom stored in the knowledgebase. The system developed using expert system concept. Based on thisconcept, a knowledge base was built to store all the knowledge compiled.Inference engine used to search the knowledge in the knowledge base.The knowledge based was stored in MySQL database and the inferenceengine was developed using PHP language.

Application and Study of Expert PID Intelligent Control

Expert system is essentially an intelligent computer program containing reasoning and knowledge, which uses the knowledge and experience of experts in a certain field to solve problems in this field. Expert control combines the concept and principle of expert system with automatic control technology, simulates the intelligence of experts, and realizes the control of the system. In actual production, because of the characteristics of time-varying, non-linear and large lag of single tank level parameters in liquid level system control, a novel expert PID intelligent control is proposed on the basis of traditional PID control in order to achieve the desired level value. According to the simulation results of METLAB, the expert PID intelligent control is superior to the traditional PID control in both dynamic performance index and practical application.

APLIKASI SISTEM PAKAR DIAGNOSA PENYAKIT GIGI METODE FORWARD CHAINING DI UPTD KESEHATAN PUSKESMAS BANGIL

Teeth are organs that are very important and very vital. Therefore dental health is very important. Most of the Indonesian people, the appeal for dental examinations every six months is more often considered a breeze then, because they are more concerned with the health of other organs. Though diseases that attack teeth can have a very significant effect such as appearance problems. This research applies computer science in the medical field, especially for dental disease problems at the UPTD Health Center in Bangil using the expert system concept. Expert system is a system in the form of computer software where the computer is made as if - will think like an expert or expert in the field. The search method used is forward chaining, which is a search where facts are known to support conclusions. This expert system makes it easy for patients to conduct consultations, making it easier for the admin to manage symptom data and their illnesses and patient data, judging from the results of the questionnaire which states that it is very useful, can be used as a temporary doctor.

The Study of Early Diagnosis of Personality Disorder with Expert System Builder

Gangguan kepribadian adalah gangguan psikologis kronis yang dapat memengaruhi pekerjaan, keluarga, dan kehidupan sosial seseorang. Dalam beberapa kasus, kemungkinan pasien tidak menyadari bahwa mereka memiliki gangguan kepribadian karena cara berpikir dan berperilaku tampak alami bagi pasien, dan pasien dapat menyalahkan orang lain. Untuk mendiagnosis gangguan kepribadian sejak dini, maka dibuatlah aplikasi menggunakan alat pembangun sistem pakar. Data dikumpulkan melalui wawancara dengan seorang pakar yang memahami masalah gangguan kepribadian. Dengan memanfaatkan konsep sistem pakar pada expert system builder tool (ESB) terjadi transfer pengetahuan dari ahli ke aplikasi yang akan dibuat. Aplikasi ini dibuat untuk berdasarkan basis pengetahuan, pohon keputusan dan tabel keputusan. Tahapan dari desain adalah merancang aturan pencarian identifikasi gangguan kepribadian, kemudian merancang tabel keputusan berdasarkan aturan dan merancang tabel keputusan berdasarkan pohon keputusan yang telah dibuat. Abstract Personality disorders are chronic psychological disorders that can affect work, family and social life of a person. In some cases, the possibility of people do not realize that they have a personality disorder as a way of thinking and behaving seems natural to the patient, and the patient may blame others. To diagnose a personality disorder early, then made an application using expert system builder tools. Data collected through interviews with an expert who understands the problem of personality disorders. By utilizing the concept of expert system on expert system builder tool (ESB) there was a transfer of knowledge from experts to the application to be made. This application is made to follow the rules knowledge base, decision tree and decision table. Stages of the design is to design a search rule identification of personality disorder, then design decision table based on the rule-based and subsequently designed a decision tree based decision table that has been created. Keywords : Personality disorders diagnosis, Expert system, Expert system builder

Review on the Evaluation of Casing Damage Level in Oil and Gas Field

The casing damage is a common problem encountered in the oil and gas field, and the casing damage will cause huge losses to the economic benefits of the oil and gas field. Grading the damage degree of the casing damage well can provide theoretical support for the oilfield workover operation and save the cost of workover. The casing damage classification has a strong guiding significance for the economic evaluation of the casing damage repair and the development of appropriate workover technology. After a review research on domestic and foreigner papers on the study of casing damage classification, it can be found that there is no mature theory and method for casing damage classification. After analyzing the entire workover process, the concept of the damage repair evaluation expert system is proposed to complete the entire workover process, evaluate the cost, and help the oil and gas field to obtain the best benefits.

Concept of expert system for creation of personalized, digital skills learning pathway

Nowadays there is a huge number of learning resources, covered different digital skills, on the Internet. In the framework of European Erasmus+ project: ‘Digital Skills Accelerator’ we developed dedicated to digital skills set of learning resources. Moreover, the test to analyses the level of user digital skills in form of the Online Self-Assessment Tool was developed as well. However, there is a problem with proper identification of personalized digital skills learning pathway. In the paper the expert system for creation of personalized digital skills learning pathway is proposed. The system runs on the DigComp framework to generate the user path, which consists of the ordered set of project learning resources from Digital Skills Accelerator. Selected resources best fit user’s digital skills profile and will help in raising his/her digital competence.

Gamification for Elementary Mathematics Learning in Indonesia

The purpose of this research is to combine multimedia elements and mathematics learning material to a mathematic learning interactive application. Research and design methodology that used is Game Development Life Cycle (GDLC) which consist of initiation, pre-production, production, testing and release. Content inside the game is made using gamification and expert system concept. The result of this research is an interactive learning game to support student to understand mathematic materials. The purpose of this application is to help student to learn mathematic in an interactive and interesting way, to deliver mathematic material easily.

Gamification for Elementary Mathematics Learning in Indonesia

The purpose of this research is to combine multimedia elements and mathematics learning material to a mathematic learning interactive application. Research and design methodology that used is Game Development Life Cycle (GDLC) which consist of initiation, pre-production, production, testing and release. Content inside the game is made using gamification and expert system concept. The result of this research is an interactive learning game to support student to understand mathematic materials. The purpose of this application is to help student to learn mathematic in an interactive and interesting way, to deliver mathematic material easily.

Khái quát về trí tuệ nhân tạo và hệ chuyên gia

This paper presents essential concepts of Artificial Intelligence and Expert systems as well as its development history, actual situation and perspective.

IMPLANT MATERIAL SELECTION USING EXPERT SYSTEM

Most certainly, in the field of medicine there is a great contribution of new techniques and technologies, which is reflected in an entire system of health care services. Customized implants are both fully geometrically and topologically adjusted so as to meet the needs of individual patients, thus making each implant unique. Their production requires joint efforts of a multidisciplinary team of different profile experts who combine their knowledge in the Implant knowledge model. Thus, we develop an expert system which should help or replace humans in the process of Implant material selection. This paper gives an overview of the expert system concept for the given problem. Its task is to carry out a selection of biomaterial (or class of material) for a customized implant. The model significantly improves the efficiency of preoperative planning in orthopaedics.

Flight information system by using fuzzy expert inference

In this paper we explain some concept of fuzzy expert systems and its applications in business process. Moreover this article is written to be dedicated to the put of Esplan system in practice to gain information about flights and system of ticket services. The review and the analysis of information and expert system are given. The recognition of features of a research of data domain is carried out, and their informative values, as well as the properties are analyzed. Knowledge base is realized in environment expert system sell Esplan. The example of application of fuzzy expert system on base of Esplan for using in decision making problem is given. The paper also aims to develop the knowledge of rules to process the information about the decision making process in flight services information system.

A Situation-Aware Fear Learning (SAFEL) model for robots

This work proposes a novel Situation-Aware FEar Learning (SAFEL) model for robots. SAFEL combines concepts of situation-aware expert systems with well-known neuroscientific findings on the brain fear-learning mechanism to allow companion robots to predict undesirable or threatening situations based on past experiences. One of the main objectives is to allow robots to learn complex temporal patterns of sensed environmental stimuli and create a representation of these patterns. This memory can be later associated with a negative or positive “emotion”, analogous to fear and confidence. Experiments with a real robot demonstrated SAFEL's success in generating contextual fear conditioning behavior with predictive capabilities based on situational information.

Study and Analysis of MYCIN expert system

MYCIN was the one of the initial expert systems to perform with the level of expertise of a human expert and to provide users with complete explanation of its logical reasoning. MYCIN played a benchmark of most of the expert systems which were developed after MYCIN. Moreover, the techniques which were developed for MYCIN expert system have become most widely available design in the various small expert system building tools. It was designed to aid doctors in proper diagnosis and treatment of bacteremia infections. MYCIN was strictly a research system. The present paper provides summary of rule application concepts of MYCIN expert system. Introduction MYCIN is an expert system. By that we mean that it is an AI program designed (a) to provide expert level solutions to complex problems, (b) to be understandable, and (c) to be flexible enough to accommodate new knowledge easily. Because we have designed MYCIN to provide advice through a consultative dialogue, we sometimes refer to it as a consultation system[10][11]. There are two main parts to an expert system like MYCIN: a knowledge base and an inference mechanism, or engine (Figure 1-1). In addition there are often subprograms designed to facilitate interaction with users, to help build a knowledge base, to explain a line of reasoning, and so forth. Figure 1.1 Major Parts of an expert system. Arrows indicate information flow. The knowledge base is the program's store of facts and associations it knows about a subject area such as medicine. A critical design decision is how such knowledge is to be represented within the program. There are many choices, in general. For MYCIN, we chose to represent knowledge mostly as conditional statements, or rules, of the following form: IF: There is evidence that A and B are true, THEN: Conclude there is evidence that C is true. This form is often abbreviated to one of the following:

A Concept for Intelligent Tool Exchange System for Industrial Manipulators

For years now, the industrial manipulators have substituted human in many types of works during the manufacturing process. With robots the production rate increases, as does the quality of the product. The application of industrial manipulators increases the safety in the factories which in turn leads to savings. However, there are several difficulties in introduction of robotics into the production line. One of them is usually large cost of purchase and implementation of the robot. The proposed concept of the intelligent system for tool exchange is to address the stated issue. The aim of the system is to provide a mechanism for quick tool exchange supported by a decision making module that will constitute the self-reconfigurable industrial manipulator that is able to assess the situation at the production line, recognize the product and make decision on the operations to be performed, their sequence and which tool to use to perform that operation. Such a system of manipulator equipped with functions for reconfiguration and adaptation will be a solution for all applications where the production assortment changes quickly and is made in short series, and in particular for SMEs, which cannot afford purchase of several robots. They would buy one instead and let it perform variable tasks.The article briefly presents the concept of the hardware part of the exchange system, which includes both construction and the electronic modules for the tools, and concentrates on the concept of software expert system and database that allows intelligent decision making. The software control of the system is divided into four levels: the basic level, technical level, task level and procedure level. The basic level defines the movement of the robot such as: positioning, rotation, approach to the position etc. This level uses to control system of the applied manipulator and the data contained in the electronic modules of the tools. The basic level reflects the typical low-level control of the manipulator. The technical level defines the technical movement of the robot, small procedures related to the calibration of the tools, operation with the tool magazine (picking up and putting away) and related to tool maintenance – locking, unlocking, power supply, air supply and similar. The task level defines the operations related to the task performed on the object. Depending on the defined task the proper tool is selected (e.g. gripper, camera or a laser scanner) and, based on the data collected from sensors, performs the operation (e.g. scans the surface of the object). The highest level of control is totally independent on the hardware control system of the manipulator and the hardware of the robotic stand. Using the available databases and the recognition systems (e.g. cameras) makes decisions on what type of object appears on the production line and what operation is to be performed. The operations are defined as metacode that is interpreted and performed by lower control levels structurally bound to the control system of the manipulator.