• Title/Summary/Keyword: Knowledge based Rules

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The Development of an Expert System for Supporting the Diagnosis of Diffuse Interstitial Lung Diseases by High Resolution Computed Tomography$^1$

  • Heon Han;Chung, Sung-Hoon;Chae, Young-Moon
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.378-382
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    • 2001
  • The purpose of this study was to develop an expert system supporting the diagnosis of diffuse interstitial lung disease by high resolution computed tomography. CLIPS(C language integrated production system) with rule-based reasoning was used to develop the system. Development of expert system had three stages knowledge acquisition, knowledge representation, and reasoning. Knowledge was obtained and integrated, from tables and figure legends of a representative textbook in the domain of this expert system, High-Resolution CT of the Lung, by Webb WR, Mueller NL, and Naidich DP. The acquired knowledge was analyzed to form a knowledge base. Overlapping knowledge was eliminated, similar pieces of knowledge were combined and professional terms were defined. The most important knowledge of findings was then selected for each disease. After groupings of combined findings were made, disease groups were analyzed sequentially to determine final diagnoses. The system was based upon the input of 69 diseases, 185 findings, 73 conditions, 387 status, and 62 rules. The system was set up to determine the diagnoses of diseases from the combination of findings using forward reasoning. In an empirical trial, the system was applied to support the diagnosis of 40 cases of diffuse interstitial lung diseases. The performance of two doctors with support of the system was compared to that of another two doctors without support of the system. The two doctors with the support of the system made more accurate diagnoses than the doctors without the support of the system. The system is believed to be useful for the diagnosis of rare diseases and for cases with many possible differential diagnoses. In conclusion, an expert system supporting the high resolution computed tomographic diagnosis of diffuse interstitial lung disease was developed and the system is thought to be useful for medical practice.

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Context Information Model using Ontologies and Rules Based on Spatial Object (공간객체 기반의 온톨로지와 규칙을 이용한 상황정보 모델)

  • Park, Mi;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.13D no.6 s.109
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    • pp.789-796
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    • 2006
  • Context-aware is the core in ubiquitous environment of sensor network to support intelligent and contextual adaptation service. The new context information model is demanded to support context-aware applications. The model should not depend on a specified application and be shareable between applications in the same environment. Also, it should support various context representation and complex context-aware. In this paper, we define the context information according to context-aware process. Also we design the knowledge of domain as well as applications using ontologies and rules. The domain spatial ontology and application knowledge are represented using the spatial object model and the rules of expanded ontologies, respectively. The expression of abundant spatial ontology represents the context information about distance between objects and adjacent object as well as the location of the object. The proposed context information model which is able to exhibit various spatial context and recognizes complex spatial context through the existing GIS. This model shows that it can adapt to a large scale outdoor context-aware applications such as air pollution and prevention of disasters as well as various context-aware applications.

A study on fuzzy control for vehicle air conditioner (자동차용 공기조화기의 퍼지 제어에 관한 연구)

  • 김양영;봉재경;진상호
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.516-519
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    • 1997
  • In this paper, the control of the temperature for the vehicle air conditioner is implemented with the fuzzy controller using a micro controller. The linguistic control rules of the fuzzy controller are separated into two out variables(multi input multi output ; MIMO) : one is those for the blower motor, and the other is those for air mix door. The error in fuzzy controller, the input variable is defined as difference between the reference temperature and the actual temperature in the cabin room. The fuzzy control rules are established from the human operator experience, and based engineering knowledge about the process. The method of the center of gravity is utilized for the defuzzification.

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Auto-Generation of Fuzzy Rule Base Using Genetic Algorithm (유전 알고리즘을 이용한 퍼지 규칙 베이스의 자동생성)

  • 박세희;김용호;심귀보;전홍태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.2
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    • pp.60-68
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    • 1992
  • Fuzzy logic rule based controller has many desirable advantages, whih are simple to implement on the real time and need not the information of structure and dynamic characteristics of the system. Thus, nowadays, the scope of the application of the fuzzy logic controller becomes enlarged. But, if the controlled plant is a time-varying/nonlinear system, it is not easy to construct the fuzzy logic rules which need the knowledge of and expert. In this paper, an approach by which the logic control rules can be auto-generated using the genetic algorithm that is known to be very effective in the optimization problem will be proposed and the effectiveness of the proposed approach will be verified by computer simulation of the 2 d.o.f. planner robot.

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Expert System for ABC Tuning of Once-Through Bboiler

  • Matsumura, S.;Kojima, Y.;Tozaki, T.;Shirasaka, Y.;Suzuki, M.
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.744-748
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    • 1989
  • A newly developed Expert System (ES) for the tuning of thermal power plant control equipment is described. The system is furnished with the rules for controller tuning which were obtained by analysis and arranging the data and knowledge from the experts or tuning records. Based on these rules, automatic tuning or setting of the control parameters is performed in real-time base. The performance of the test equipment, a combination of ES and a boiler simulator, was examined in the automatic tuning test for steam pressure, steam temperature, and load controllers of a constant-pressure once-through boiler model. It was confirmed from the test results that the system is quite promising for future application to actual plants, since the tuning results obtained by the proposed system were similar to those by tuning experts.

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Design Principles for Flexible House Plan corresponding to Resource Saving (자원절약을 위한 가변형 평면계획을 위한 설계원리)

  • HyunSooLee
    • Journal of the Korean housing association
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    • v.7 no.1
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    • pp.117-126
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    • 1996
  • The purpose of this paper is to develop formal design principles towards flexible house plan. A flexible house plan accomodates spatial requirements corresponding to change of life style and provides a way of saving architectural materials. Design properties as a basis for manipulation of room includes adjacency, orientation and geometrical information which are suited well to flexible design. This paper has developed a formal grammar of shape which can be utilized to transform house plan. Flexible design presented here is based on the idea of various operations of the shape grammar. The shape grammar, as a set of rules, specifies manipulations of shapes for reorganization of spatial relationships of rooms in a house plan. It lists exemplary rules in control knowledge which guides design processes for modifying a plan. An example taken from house plan design is used to ilustrate important aspects of the flexible design which fundamentally provides the basis for architectural material saving.

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Syntactic and semantic information extraction from NPP procedures utilizing natural language processing integrated with rules

  • Choi, Yongsun;Nguyen, Minh Duc;Kerr, Thomas N. Jr.
    • Nuclear Engineering and Technology
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    • v.53 no.3
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    • pp.866-878
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    • 2021
  • Procedures play a key role in ensuring safe operation at nuclear power plants (NPPs). Development and maintenance of a large number of procedures reflecting the best knowledge available in all relevant areas is a complex job. This paper introduces a newly developed methodology and the implemented software, called iExtractor, for the extraction of syntactic and semantic information from NPP procedures utilizing natural language processing (NLP)-based technologies. The steps of the iExtractor integrated with sets of rules and an ontology for NPPs are described in detail with examples. Case study results of the iExtractor applied to selected procedures of a U.S. commercial NPP are also introduced. It is shown that the iExtractor can provide overall comprehension of the analyzed procedures and indicate parts of procedures that need improvement. The rich information extracted from procedures could be further utilized as a basis for their enhanced management.

Self-Organization of Fuzzy Rule Base Using Genetic Algorithm

  • Park, Sae-Hie;Kim, Yong-Ho;Choi, Young-Keel;Cho, Hyun-Chan;Jeon, Hong-Tae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.881-886
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    • 1993
  • Fuzzy logic rule-based controller has many desirable advantages, which are simple to implement on the real time and need not the information of structure and dynamic characteristics of the system. Thus, nowadays, the scope of the application of the fuzzy logic controller becomes enlarged. But, if the controlled plant is a time-varying and nonlinear system, it is not easy to construct the fuzzy logic rules which usually need the knowledge of an expert. In this paper, an approach in which the logic control rules can be self-organized using genetic algorithm will be proposed and the effectiveness of the proposed method will be verified by computer simulation of the 2 d.o.f. planar robot manipulator.

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A Study on English-Korean Translation System (영한 번역 시스템에 관한 연구)

  • Kim, Young Sum;Kim, Han Woo;Choi, Byung Uk
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.6
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    • pp.908-915
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    • 1986
  • In this paper, an English-Korean machine translation system which consists of a syntax analyzer, a semartic analyzer and a sentence generatodr is proposed. The intermediate language in the syntax analysis is described by a lambda categorial grammar that is based on Montague Grammar, and the augmented context free grammar is introduced in the description of object language. Much difficulty in constructing general rules and semantic representations of an object language in the parser can be avoided by using the knowledge from the user interface utility that can modify the contents of dictionary and grammar rules.

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NPV-BASED 3D ARRAY DESIGN SYSTEM OF ROOF-TOP PHOTOVOLTAICS

  • Kim Se-Jong;Cho Dong-Hyun;Park Hyung-Jin;Yoon Hee-Ro;Koo Kyo-Jin
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.300-303
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    • 2013
  • On BIPV systems, especially roof-top PV systems, the power generation is easier to be reduced due to the shades of facilities nearby, or roof itself. To secure profitability of roof-top PV systems, the optimal design of solar arrays through the precise shading analysis is an important item of design considerations. In this paper, an optimization system for array design of roof-top PVs is to be developed using three-dimensional Geospatial Information System(GIS). The profitability of income and expense is considered through the shading analysis of entire roofs. By applying the system to project for validation, the adequacy and the improvement of NPV of the system were verified compared to expert's design. The system has significance by reason that PV modules are placed through rules established with expert knowledge and geometric rules were applied to reflect the constructability and maintainability.

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