• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.241-244
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• 2005

최근 로봇의 개발 경향은 인간과 로봇이 공존하면서 서비스를 제공하는 로봇의 개발이 지속적으로 증가하는 추세이다. 인간은 자신의 성향에 맞게 능동적인 역할 수행하는 서비스 로봇을 요구한다. 하지만 일률적으로 생산된 서비스 로봇은 다양한 사람들의 개성을 모두 충족시키지 못하고 있다. 그래서 사용자의 환경, 상황을 인식하고 사용자의 성향에 맞는 행동을 지능적으로 판단하고 대처할 수 있는 로봇이 요구된다. 본 논문에서는 주변 환경을 평가하고 로봇이 스스로 행동할 수 있는 지능형 알고리즘을 제안하고자 한다. 다수 입력을 통해 제어할 수 있도록 퍼지 룰을 이용하여 추론하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.3
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• pp.288-291
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• 2004

This paper proposes an intelligent search modeling using avatar agent. This system consists of some modules such as agent interface, agent management, preprocessor, interface machine. Core-Symbol Database and Spell Checker are related to the preprocessor module and Interface Machine is connected with Best Aggregate Designer. Our avatar agent system does the indexing work that converts user's natural language type sentence to the proper words that is suitable for the specific branch information retrieval. Indexing is one of the preprocessing steps that make it possible to guarantee the specialty of user's input and increases the reliability of the result. It references a database that consists of synonym and specific branch dictionary. The resulting symbol after indexing is used for draft search by the internet search engine. The retrieval page position and link information are stored in the database. We experimented our system with the stock market keyword SAMSUNG_SDI, IBM, and SONY and compared the result with that of Altavista and Google search engine. It showed quite excellent results.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.54-61
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• 2007

This research relates to the patent application tendency about the components and modules of the intelligent robot among the robotics industry in which the market is more and more expanded. The patent about the components and modules of intelligent robot was analyzed from not only Korea but also U.S, Japanese and Europe which is called as the 3 pole of patent. By this research the government which supervises the nation's research policy can obtain the objective information of the industrial tendency, so it can establish the investment policy of national research and development. And the researchers can set up the research direction for evasion from patent infringement trouble by obtaining the patent application information. This also shows whether their research can be competitive or not.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.4
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• pp.46-53
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• 2007

This research relates to the patent application tendency about the hardware platform of the intelligent robot among the robotics industry in which the market is more and more expanded. The patent about the hardware field of intelligent robot was analyzed from not only Korea but also U.S., Japanese and Europe which is called as the 3 pole of patent. By this research the government which supervises the nation's research policy can obtain the objective information of the industrial tendency, so it can establish the investment policy of national research and development. And the researchers can set up the research direction for evasion from patent infringement trouble by obtaining the patent application information. This also shows whether their research can be competitive or not.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.354-360
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• 1998

In general, it is very difficult to find optimal fuzzy rules by experience when a system is dynamical and/or complex. Futhermore proper fuzzy partitioning is not deterministic and there is no unique solution. Therefore we propose a new design method of an optimal fuzzy logic controller, that is a co-evolutionary genetic algorithm finding optimal fuzzy rule and proper membership functions at the same time. We formalize the relation between fuzzy rules and membership functions in terms of fitness. We review the typical approaching methods to co-evolutionary genetic algorithms , and then classify them by fitness relation matrix. Applications of the proposed method to a path planning problem of autonomous mobile robots when moving objects exist are presented to demonstrate the performance and effectiveness of the method.

• Journal of Sensor Science and Technology
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• v.28 no.1
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• pp.7-12
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• 2019

Significant progress has been made recently in detection of highly sensitive volatile organic compounds (VOCs) using chemical sensors. Combined with the progress in design of micro sensors array and electronic nose systems, these advances enable new applications for detection of extremely low concentrations of breath-related VOCs. State of the art detection technology in turn enables commercial sensor systems for health care applications, with high detection sensitivity and small size, weight and power consumption characteristics. We have been developing an intelligent electronic nose system for detection of VOCs for healthcare breath analysis applications. This paper reviews our contribution to monitoring of respiratory diseases and to diabetic monitoring using an intelligent electronic nose system for detection of low concentration VOCs using breath analysis techniques.

• Journal of the Korean Institute of Intelligent Systems
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• v.2 no.2
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• pp.34-41
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• 1992

A robust and reliable learning and reasoning mechanism is addressed based upon fuzzy set theory and fuzzy associative memories. The mechanism stores a priori an initial knowledge base via approximate learning and utilizes this information for decision-making systems via fuzzy inferencing. We called this fuzzy computer architecture a 'fuzzy hypercube' processing all the rules in one clock period in parallel. Fuzzy hypercubes can be applied to control of a class of complex and highly nonlinear systems which suffer from vagueness uncertainty. Moreover, evidential aspects of a fuzzy hypercube are treated to assess the degree of certainty or reliability together with parameter sensitivity.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.128-133
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• 1998

This paper aims to present some ideas for implementation of Uncertain Relational Databases (URD) which are extensions of classical relational databases. Our system firstly is based on possibility distribution and probability theory to represent and manipulate fuzzy and probabilistic information, secondly adopts flexible mechanisms that allow the management of uncertain data through the resources provided by both available relational database management systems and front-end interfaces, and lastly chooses dynamic SQL to enhance versatility and adjustability of systems.

• Journal of the Korean Institute of Intelligent Systems
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• v.4 no.2
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• pp.24-34
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• 1994

Scientific involvement in complex decision-making system, characterized by multicriteria phenomena and fuzziness inherent in the structure of information, requires suitable methods. Especially, when powerful dependent criteria are introduced and their weighted value structure is ignorant, the systems are become more complex. This paper presents a fuzzy dependenced relation model and fuzzy measure model for this kind of multicriteria decision-making. The model we propose is based on fuzzy relation and fuzzy measure in fuzzy systems theory. For the application of the model, a numdrical example is quoted.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.73-76
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• 1997

This paper proposes the fuzzy logic-based fast gain scheduling(FFGS) controller for regulation problem in nonlinear systems. It utilizes which reflects the derivative information on the original scheduling variable in order to achieve better performance than the existents. Moreover, we apply the proposed control scheme to control active suspension systems with nonlinear components.