Log analysis systems incorporating artificial intelligence techniques ? some examples

1989 ◽  
Vol 20 (2) ◽  
pp. 331 ◽  
Author(s):  
P.L. Baker
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Log Analysis ◽  
Rule Based ◽  
Artificial Intelligence Techniques ◽  
Lithology Identification ◽  
Well Correlation ◽  
Log Interpretation ◽  
Rule Based Approach ◽  
Mineral Identification

Artificial Intelligence (Al) systems have been used with some success in the areas of dipmeter interpretation, quantitative log interpretation and well-to-well correlation. A prototype expert system has been developed using a rule-based approach to lithology identification. Extensions of the system are now being considered to do mineral identification for the problem of mineral model construction for multi-mineral log interpretation algorithms.

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)

Modern Approaches to Software Engineering in the Compositional Era

2011 ◽  
pp. 1-20
Author(s):  
Ali Dogru ◽  
Pinar Senkul ◽  
Ozgur Kaya
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Software Development ◽  
Fault Management ◽  
Management Systems ◽  
Rule Based ◽  
Rule Based Approach ◽  
Computational Element ◽  
Do So

The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the fast advancement in hardware partially enabled an appreciation for software potency. This meant that engineers had to have a better command over this field that was crucial in the solution of current and future problems and requirements. However, software development has been reported as not adequate, or mature enough. Intelligence can help closing this gap. This chapter introduces the historical and modern aspects of software engineering within the artificial intelligence perspective. Also an illustrative example is included that demonstrates a rule-based approach for the development of fault management systems.

Modern Approaches to Software Engineering in the Compositional Era

2012 ◽  
pp. 1903-1923
Author(s):  
Ali Dogru ◽  
Pinar Senkul ◽  
Ozgur Kaya
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Software Development ◽  
Fault Management ◽  
Management Systems ◽  
Rule Based ◽  
Rule Based Approach ◽  
Computational Element ◽  
Do So

The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the fast advancement in hardware partially enabled an appreciation for software potency. This meant that engineers had to have a better command over this field that was crucial in the solution of current and future problems and requirements. However, software development has been reported as not adequate, or mature enough. Intelligence can help closing this gap. This chapter introduces the historical and modern aspects of software engineering within the artificial intelligence perspective. Also an illustrative example is included that demonstrates a rule-based approach for the development of fault management systems.

scholarly journals “Virtual Doctor” Management Technique in the Diagnosis of ENT Diseases

2019 ◽  
Vol 15 (09) ◽  
pp. 88
Author(s):  
Arshi Naim ◽  
Mohammad Faiz Khan ◽  
Mohammad Rashid Hussain ◽  
Nawsher Khan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Knowledge Representation ◽  
Daily Practice ◽  
Management Technique ◽  
Rule Based ◽  
Rule Based System ◽  
Related Disease ◽  
Effectiveness And Efficiency ◽  
Early Diagnose

<p>This research project is about the managing of an ENT ( Ear Nose Throat) diagnosis expert system through the virtual doctor that can assist physicians in diagnosing ENT related diseases. ENT problems can distress hearing, speaking, learning and many other significant behaviors and untreated ENT diseases can be serious. Therefore, early diagnose of ENT diseases is fundamental. This study is qualitative in nature where we have used the concept of Virtual Doctor under artificial intelligence (AI) based expert system, already designed to assist physicians in the diagnosis of ENT related disease in the absence of ENT experts. This system can reduce the excess created due to the busy schedules of ENT experts and enhance the effectiveness and efficiency of healthcare system. Virtual Doctor for ENT diagnosis uses rule based system for knowledge representation and has sub-systems which can enhance the physician’s ability in reaching a diagnosis decision with assurance. In this paper, we described the management system for application of Virtual Doctor for the diagnosis of  ENT related diseases which can be used by physicians in their daily practice.</p>

scholarly journals Rule Based and Supervisory Training Approach To Develop Expert System Tool For Detecting Lung Cancer Disease

2010 ◽  
Vol 9 (1) ◽  
pp. 1-11
Author(s):  
K. Balachandran ◽  
R. Anitha
Keyword(s):  
Lung Cancer ◽  
Expert System ◽  
Expert Systems ◽  
Medical Attention ◽  
Cancer Disease ◽  
Rule Based ◽  
Knowledge Based ◽  
Training Approach ◽  
Dreaded Disease ◽  
Rule Based Approach

Knowledge-based expert systems, or expert systems, use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Lung cancer is one of the dreaded disease in the modern era. It is responsible for the most cancer deaths in both men and women throughout the world. Early diagnosis and timely treatment are imperative for the cure. Longevity and cure depends on early detection. This paper gives on insight to identify the forget group of people who are suffering or susceptible to suffer lung cancer disease. Seeking proper medical attention con be initiated based on the findings. Expert system tool developed, to find this target group based on the non-clinical parameters. Symptoms and risk factors associated with Lung cancer ore token as the basis of this study. This expert system basically works on the rule based approach to collect the data. Then Supervisory learning approach is used to infer the basic data. Once sufficient knowledge base is generated the system can be made to adopt in unsupervised learning mode.

scholarly journals Design of Air Cushion Vehicles Using Artificial Intelligence: Expert System and Genetic Algorithm

2021 ◽  
Author(s):  
Tae-Cheol Jung
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Expert System ◽  
Coast Guard ◽  
Ride Quality ◽  
Successful Implementation ◽  
Artificial Intelligence Techniques ◽  
Initial Design ◽  
Air Cushion ◽  
Thesis Work

In the thesis, initial design of an Air Cushion Vehicle (ACV)is performed with the expert system and its skirt system is further optimized with the genetic algorithm. Both the expert system and genetic algorithm are advanced computerized design techniques of artifical intelligence. Those techniques are specifically developed for the ACVs with programming codes in this thesis. Then the main objective is to show the successful implementation of those techniques in the design of ACVs. The thesis work is divided into two parts. In the first part, the general configuration of ACVs, including the overall dimensions, weight distribution, parametric properties, and several subsystems, is studied and designed by the expert system as an initial design phase. In the second part of the thesis, the skirt system of ACVs is further optimized. In particular, the properties of the bag and finger skirt are optimized for improved ride quality and stability by the genetic algorithm. For the validation of these two artificial intelligence techniques, the CCG (Canadian Coast Guard) 37 ton Waban-Aki and U.S. Navy's 150 ton LCAC (Landing Craft Air Cushion) are selected for the tests. The results of the tests proved that the expert system was successfully implemented and was a powerful tool for the initial design of ACVs. Furthermore, the genetic algorithm optimized the skirt system with significantly improved ride quality and stability. It was also shown that the skirt mass was an important design factor in the heave response of the bag and finger skirt. Hence, this thesis work opened the new possibility of designing ACVs with artificial intelligence techniques.

scholarly journals A Feasibility Study of the Application of Artificial Intelligence Techniques for Turbomachinery Diagnostics

1985 ◽  
Author(s):  
Cyrus B. Meher-Homji
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Feasibility Study ◽  
Online Monitoring ◽  
System Development ◽  
Diagnostic Process ◽  
Computer Implementation ◽  
Diagnostic Systems ◽  
Artificial Intelligence Techniques

This paper presents a study into the application of Artificial Intelligence (AI) techniques (specifically Expert Systems) to the problem of turbomachine diagnostics. The diagnostic process is described and a model for computer implementation provided. Some diagnostic examples are provided to explain the methodology. Expert system development is underway at the author’s corporation for incorporation in online monitoring and diagnostic systems.

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