A Method for Reasoning by Analogy in Failure Analysis

1989 ◽  
Vol 111 (3) ◽  
pp. 306-310 ◽  
Author(s):  
J. P. Morrill ◽  
D. Wright
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Hydrogen Embrittlement ◽  
Computer Program ◽  
Error Rate ◽  
Analogical Reasoning ◽  
Current Case ◽  
Modes Of Failure ◽  
Mode Of Failure ◽  
Reasoning By Analogy

An artificial intelligence computer program is being developed for automating the analysis of metallurgical failures. The purpose of this expert system is for recognizing modes of failure like stress corrosion and hydrogen embrittlement. We have previously described a method for recognizing mode of failure based on a form of diagnosis or statistical categorization. In this paper, an alternative method is developed for recognizing mode of failure as a means of confirming or disconfirming the conclusions derived by categorizing. This method is a form of reasoning by analogy that recognizes when the current case is similar to some previously encountered case and uses this information to draw conclusions. The expert system is “programmed” by providing a set of correctly solved examples rather than IF-THEN rules. Accuracy of analogical reasoning is found to increase with number of stored examples, and in recognizing modes of failure an error rate as low as 20.7 percent is observed to occur.

scholarly journals SISTEM PAKAR DIAGNOSA PENYAKIT PARU – PARU MENGGUNAKAN METODE CASE BASE REASONING PADA TELEGRAM BOT

Repositor ◽  
2020 ◽  
Vol 2 (6) ◽  
pp. 711
Author(s):  
Ahmadu Kajukaro ◽  
Yufiz Azhar ◽  
Maskur Maskur
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Program ◽  
Lung Disease ◽  
Pulmonary Disease ◽  
Specific Work ◽  
System Output ◽  
Case Base ◽  
Case Base Reasoning ◽  
Case Data

Abstrak Dalam penelitian ini akan dibahas mengenai pembangunan sebuah aplikasi sistem pakar diagnosa penyakit paru. Dalam mendiagnosa penyakit paru–paru, sistem pakar ini akan menggunakan metode Case Base Reasoning (CBR) pada Bot Telegram. CBR menggunakan kecerdasan buatan (Aritifical Intelegent) yang dalam pemecahan permasalahannya berdasarkan pada knowledge dari kasus–kasus sebelumnya yang ada pada database. Data kasus yang digunakan dalam penelitian ini merupakan data kasus yang diperoleh dari catatan atau rekam medis hasil penanganan pasien atau penderita penyakit paru-paru yang didiagnosa oleh dokter spesialis paru. Bot Telegram merupakan program komputer yang melakukan pekerjaan tertentu secara otomatis untuk meringankan pekerjaan manusia. Terdapat 7 buah kasus lama, dan satu kasus baru yang akan digunakan untuk menghitung nilai kedekatannya dengan kasus lama. Hasilnya sistem akan memberikan keluaran atau output berupa kemungkinan penyakit dan saran pengobatan yang didasarkan pada kemiripan kasus baru degan kasus lama yang ada pada basis pengetahuan (knowledge) yang dimiliki sistem.Abstract            In this study will be discussed on the development of an application expert system of diagnosis of pulmonary disease. In diagnosing pulmonary disease lung, expert system it will use the method of Case Base Reasoning (CBR) on Bot Telegram. CBR uses artificial intelligence (Aritifical Intelegent) that in solving the problem based on their knowledge of the case the case of previously existing in the database. The case of the data used in this study was obtained from case data records or medical record results handling patient or sufferer of lung disease that is diagnosed by lung specialist. BOT Telegram is a computer program that performs specific work automatically to ease the work of man. There were 7 cases of old fruit, and one new cases that will be used to calculate the value of proximity to old cases. The result will give the system output or output in the form of the possibility of disease and treatment suggestions based on the similarity of new cases by case long on knowledge base (knowledge) that owned the system.

Sistem Pakar Deteksi Kerusakan Truk Mitsubishi Fuso Berbasis Desktop

2021 ◽  
Vol 11 (1) ◽  
pp. 1-4
Author(s):  
Heri Pratama ◽  
Sofika Enggari ◽  
Irzal Arief Wisky
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Computer Program ◽  
Specific Problem ◽  
Expert Knowledge ◽  
Computer Programs ◽  
Thought Process ◽  
Made In

An expert system is a computer program that can mimic the thought process and expert knowledge in solving a particular problem. The implementation of this expert system is widely used in the field of artificial intelligence because expert systems are seen as a way of storing expert knowledge in certain fields in computer programs so that decisions can be made in making intelligent reasoning on a specific problem in this case the problem of detecting damage to Mitsubishi trucks. Fuso at Berdikari Motor Sibolga workshop.

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)

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

An IBM PC Based Computer Program for the Analysis of Infrared Spectra

1991 ◽  
Vol 45 (10) ◽  
pp. 1739-1745
Author(s):  
Min J. Yang ◽  
Paul W. Yang
Keyword(s):  
Artificial Intelligence ◽  
Operating System ◽  
Computer Program ◽  
Infrared Spectra ◽  
Personal Computer ◽  
Research Laboratory ◽  
General Purpose ◽  
Disk Operating System ◽  
Interpretation System ◽  
Ibm Pc

A computerized infrared interpreter has been developed on an IBM personal computer (PC) running under the Microsoft disk operating system (DOS). Based on the original Merck Sharp & Dhome Research Laboratory Program for the Analysis of InfRared Spectra (PAIRS), this infrared interpreter, PC PAIRS+, is capable of analyzing infrared spectra measured from a wide variety of spectrophotometers. Modifications to PAIRS now allow the application of both artificial intelligence and library searching techniques in the program. A new algorithm has been devised to combine the results from the library searching and the PAIRS program to enhance the dependability of interpretational data. The increased capability of this infrared interpreter along with its applicability on a personal computer results in a powerful, general-purpose, and easy-to-use infrared interpretation system. Applications of PC PAIRS+ on petrochemical samples are described.

Treatment of Uncertainty in an Oncology Protocol by Probabilistic and Artificial Intelligence Approaches

1988 ◽  
Vol 27 (01) ◽  
pp. 23-33 ◽  
Author(s):  
Fiorella de Rosis ◽  
G. Steve ◽  
C. Biagini ◽  
R. Maurizi-Enrici
Keyword(s):  
Artificial Intelligence ◽  
Sensitivity Analysis ◽  
Expert System ◽  
Probabilistic Model ◽  
Decision Process ◽  
Clinical Decision ◽  
Final Diagnosis ◽  
Decision Models ◽  
Expert System Shell ◽  
Subjective Estimation

SummaryThe decision process for diagnosis and treatment of Hodgkin’s disease at the Institute of Radiology of Rome has been modelled integrating the guidelines of a protocol with uncertainty aspects. Two models have been built, using a PROSPECTOR-like Expert System shell for microcomputers: the first of them treats the uncertainty by the inferential engine of the shell, the second is a probabilistic model. The decisions suggested in a group of simulated and real cases by a section of the two models have been compared with an “objective” final diagnosis; this analysis showed that, in some cases, the two models give different suggestions and that “approximations” of the shell’s inferential engine may induce wrong conclusions. A sensitivity analysis of the probabilistic model showed that the outputs are greatly influenced by variations of parameters, whose subjective estimation appears to be especially difficult. This experience gives the opportunity to consider the risks of building clinical decision models based on Expert System shells, if the assumptions and approximations hidden in the shell have not been previously analyzed in a careful and critical way.

Construction Research of Exercise Prescription Expert System

2013 ◽  
Vol 718-720 ◽  
pp. 2422-2426
Author(s):  
Ming Gou ◽  
Jing Yang
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Expert System ◽  
Exercise Prescription ◽  
Scientific Model ◽  
Test Database

The test database of students' health is being analyzed with the information processing tool of artificial intelligence Expert System in order to create a scientific model of students Exercise Prescription in the end. It aims at starting with studying every student to realize an optimized development for the quality potential of every student.

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