scholarly journals On the Problem of the Development of Astronomical Refraction Methodology on the Basis of New Technology

1990 ◽  
Vol 141 ◽  
pp. 142-142
Author(s):  
V. I. Sergienko
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Systematic Approach ◽  
Basic Problem ◽  
New Technology ◽  
System A ◽  
Linguistic Model ◽  
Technical Model ◽  
Astronomical Refraction ◽  
Linguistic Models

The work on construction and operation of automated systems for collection and processing astrometric and meteorological information and also of automated television systems with remote control have placed before us a number of fundamental difficulties in that hundreds of correct solutions to these problems require a systematic approach.The most suitable cybernetics-mathematical composite for solving the problems of astronomical refraction may become the so-called hybrid-expert systems — a union of traditional expert systems with calculation-logical ones. In these systems logical-linguistic models are used together with mathematical ones.The basic problem of ARA-C consists in obtaining a model of the environment in which light propagates and also to give a notion of interaction between electrons (environment) and photons (light).It is proposed to use in this system a model of light interaction with environment built up on special formalisms of artificial intellect (logical-linguistic model). The basic principal in hybrid-expert system ARA-C operation must be mathematical modelling and calculation experimentation. In the proposed hybrid-expert system knowledge is presented on three levels—object, mathematical and programmed. Functioning of the lower levels of ARA-C is connected with formulation of the calculation problems. A calculation problem presented to a technical model determines a partial order on a twopart column of mathematical correlations.

An Expert Consultation Environment for Creating Customized Knowledge-Based Systems for CAD

1994 ◽  
Author(s):  
Parasuram Narayanan ◽  
Sankar Jayaram
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Conceptual Design ◽  
Mechanical Design ◽  
Object Oriented ◽  
Expert Consultation ◽  
Cad Systems ◽  
Knowledge Based ◽  
System A ◽  
The Creation

Abstract Although the field of CAD has come a long way in recent years, the integration of CAD with engineering/mechanical design, especially the integration of CAD with conceptual design, has not been given enough importance. Tools which facilitate the custom development of conceptual CAD software are still not available. This is especially true in the case of intelligent CAD systems. This paper describes the philosophy and design of a framework which will facilitate the creation of knowledge-based expert systems to support conceptual design. The design of an object-oriented framework which will assist in the creation of customized expert systems for CAD applications is presented. This framework, known as the Expert Consultation Environment, provides the CAD programmer with tools to create the expert system. This framework consists of various object-oriented classes which the programmer would use during the creation of the knowledge-based expert system. A prototype of a portion of the framework was implemented. The use of this prototype framework in the creation of an expert system for a multi-disciplinary design application is discussed. The framework described in this paper would assist the programmers of CAD systems in building expert systems that are tailor-made for conceptual design. Any expert system created using an implementation of this framework will be very flexible, adaptable, and extendible.

scholarly journals FUZZY DAN DEMPSTER-SHAFER PADA SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN CABAI

2017 ◽  
Vol 4 (2) ◽  
pp. 209 ◽  
Author(s):  
Muliadi Muliadi ◽  
Irwan Budiman ◽  
Muhammad Adhitya Pratama ◽  
Antar Sofyan
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Expert Systems ◽  
Disease Diagnosis ◽  
Plant Diseases ◽  
System A ◽  
Fuzzy Methods

<p><em>Expert systems are usually used only to help get the results of a diagnosis faster. In the expert system, a method usually used to support a diagnosis process. In this research using the method of Fuzzy and Dempster-Shafer. Fuzzy methods used to find the scale of values belief (trust) a fact with fuzzyficationt process, while the Dempster-Shafer method used to combine pieces of the facts to calculate the likelihood of an event. The purpose of this study was to determine whether the method of Fuzzy and Dempster-Shafer can be applied to the expert system to provide disease diagnosis chili. Where the results of the expert system will produce a presentation about the likelihood of diagnosis of plant diseases chili.</em><em></em></p><p><strong><em>Keywords</em></strong><em> : Fuzzy Logic, Dempster-Shafer, Expert System, Chili Plants<strong></strong></em></p><p><em>Sistem pakar biasanya digunakan hanya untuk membantu memperoleh hasil suatu diagnosa dengan lebih cepat. Pada sistem pakar, biasanya digunakan suatu metode untuk mendukung proses suatu diagnosa. Pada penelitian ini menggunakan bantuan metode Fuzzy dan Dempster-Shafer. Metode Fuzzy digunakan untuk mencari bobot nilai belief (kepercayaan) suatu fakta dengan proses fuzzyfikasi, sedangkan metode Dempster-Shafer digunakan untuk menggabungkan potongan fakta untuk mengkalkulasi kemungkinan dari suatu peristiwa. Tujuan dari penelitian ini adalah untuk mengetahui apakah metode Fuzzy dan Dempster-Shafer dapat diterapkan pada sistem pakar dalam memberikan diagnosa penyakit cabai. Dimana hasil dari sistem pakar ini akan menghasilkan presentasi besarnya kemungkinan terdiagnosanya penyakit tanaman cabai.</em><em></em></p><p><strong><em>Kata kunci</em></strong><em> : Logika Fuzzy, Dempster-Shafer, Sistem Pakar, Tanaman Cabai</em></p>

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

scholarly journals Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System

2021 ◽  
Vol 13 (9) ◽  
pp. 4640
Author(s):  
Seung-Yeoun Choi ◽  
Sean-Hay Kim
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Data Analytics ◽  
High Performance ◽  
Problem Definition ◽  
Design Expert ◽  
Decision Support Process ◽  
High Performance Building

New functions and requirements of high performance building (HPB) being added and several regulations and certification conditions being reinforced steadily make it harder for designers to decide HPB designs alone. Although many designers wish to rely on HPB consultants for advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems can help designers by providing the role of HPB consultants. The effectiveness and success or failure of the solution offered by the expert system must be affected by the quality, systemic structure, resilience, and applicability of expert knowledge. This study aims to set the problem definition and category required for existing HPB designs, and to find the knowledge acquisition and representation methods that are the most suitable to the design expert system based on the literature review. The HPB design literature from the past 10 years revealed that the greatest features of knowledge acquisition and representation are the increasing proportion of computer-based data analytics using machine learning algorithms, whereas rules, frames, and cognitive maps that are derived from heuristics are conventional representation formalisms of traditional expert systems. Moreover, data analytics are applied to not only literally raw data from observations and measurement, but also discrete processed data as the results of simulations or composite rules in order to derive latent rule, hidden pattern, and trends. Furthermore, there is a clear trend that designers prefer the method that decision support tools propose a solution directly as optimizer does. This is due to the lack of resources and time for designers to execute performance evaluation and analysis of alternatives by themselves, even if they have sufficient experience on the HPB. However, because the risk and responsibility for the final design should be taken by designers solely, they are afraid of convenient black box decision making provided by machines. If the process of using the primary knowledge in which frame to reach the solution and how the solution is derived are transparently open to the designers, the solution made by the design expert system will be able to obtain more trust from designers. This transparent decision support process would comply with the requirement specified in a recent design study that designers prefer flexible design environments that give more creative control and freedom over design options, when compared to an automated optimization approach.

Standards, Codes of Practice and Expert Systems

1988 ◽  
Vol 21 (1) ◽  
pp. 5-9 ◽  
Author(s):  
E G McCluskey ◽  
S Thompson ◽  
D M G McSherry
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Engineering Design ◽  
Performance Criteria ◽  
Design Problems ◽  
Codes Of Practice ◽  
Engineering Design Problems ◽  
And Performance

Many engineering design problems require reference to standards or codes of practice to ensure that acceptable safety and performance criteria are met. Extracting relevant data from such documents can, however, be a problem for the unfamiliar user. The use of expert systems to guide the retrieval of information from standards and codes of practice is proposed as a means of alleviating this problem. Following a brief introduction to expert system techniques, a tool developed by the authors for building expert system guides to standards and codes of practice is described. The steps involved in encoding the knowledge contained in an arbitrarily chosen standard are illustrated. Finally, a typical consultation illustrates the use of the expert system guide to the standard.

User Interface Design for Maintenance/Troubleshooting Expert System

1985 ◽  
Vol 29 (4) ◽  
pp. 367-371
Author(s):  
Christopher G. Koch
Keyword(s):  
User Interface ◽  
Expert System ◽  
Expert Systems ◽  
Gas Turbine ◽  
Interface Design ◽  
Special Function ◽  
Input Output ◽  
Flat Panel ◽  
Voice Input ◽  
Control Functions

Expert systems applications for special environments impose special requirements on the user-system interface. A study was conducted to determine requirements and define a design concept for the interface for an expert system being developed to support corrective maintenance and troubleshooting of gas turbine electronic equipment and controls. The resulting design specifies a portable unit containing color flat panel video/graphics display, special function membrane keypad, miniature printer, and headset with voice input/output. Communication with the expert system is structured by multiple-window information presentation and voice-activated control functions.

scholarly journals Hybrid categorical expert system for the use in content aggregation

2021 ◽  
pp. 1-22
Author(s):  
Denis Aleksandrovich Kiryanov
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Main Category ◽  
Aggregated Data ◽  
Advantages And Disadvantages ◽  
Spam Filter ◽  
Hybrid Solutions ◽  
The Cost ◽  
Use Of Knowledge

The subject of this research is the development of the architecture of expert system for distributed content aggregation system, the main purpose of which is the categorization of aggregated data. The author examines the advantages and disadvantages of expert systems, toolset for development of expert systems, classification of expert systems, as well as application of expert systems for categorization of data. Special attention is given to the description of architecture of the proposed expert system, which consists of spam filter, component for determination of the main category for each type of the processed content, and components for determination of subcategories, one of which is based on the domain rules, and the other uses the methods of machine learning methods and complements the first one. The conclusion is made that expert system can be effectively applied for solution of the problems of categorization of data in the content aggregation systems. The author establishes that hybrid solutions, which combine an approach based on the use of knowledge base and rules with implementation of neural networks allow reducing the cost of the expert system. The novelty of this research lies in the proposed architecture of the system, which is easily extensible and adaptable to workloads by scaling existing modules or adding new ones. The proposed module for spam detection leans on adapting the behavioral algorithm for detecting spam in emails; the proposed module for determination of the key categories of content uses two types of algorithms: fuzzy fingerprints and Twitter topic fuzzy fingerprints that was initially applied for categorization of messages in the social network Twitter. The module that determine subcategory based on the keywords functions in interaction with the thesaurus database. The latter classifier uses the reference vector algorithm for the final determination of subcategories.

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