• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.98-101
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• 2002

기존의 이동로봇 시스템은 완전한 자율주행이 주된 목표였으며 이때 영상정보는 단지 모니터링을 하는 보조적인 수단으로 사용되었다. 이에 따라 이동로봇의 자체 기능이 점차 고도화되는 방향으로 연구가 진행되었고, 제작비 또한 함께 상승하게 되었다. 그러나 구동만이 목적인 저렴한 이동로봇 시스템을 조작자가 원격 제어하는 것 또한 중요한 분야 중 하나이다. 이때 원격제어에 사용되는 신호로는 카메라에 의한 영상정보와 초음파 센서 등에 의한 거리정보를 주로 사용하게 된다. 그러나 영상정보는 3차원의 입체적 정보를 제공하는 데에는 부적절하기 때문에 초음파 센서를 이용한 거리정보가 매우 유용하게 된다. 본 논문에서는 초음파 센서의 정보를 이용한 원격제어용 힘 반향 조이스틱을 개발하였다. 힘 반향 알고리즘은 하나의 식으로 표현하기 곤란하므로 전문가 시스템의 구현이 매우 필요한 분야이다. 따라서 퍼지 논리를 사용하여 생성한 힘 반향 알고리즘을 이동로봇 원격제어에 사용함으로써 조작자가 이동로봇 주변환경을 쉽게 인식하여 이동로봇을 안전하게 주행할 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.385-388
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• 2004

인공지능분야에서의 온톨로지란 기본적인 개념의 규정과 개념들 사이의 관계를 표현한 용어들의 분류(classification)를 의미한다. 온톨로지를 만들기 위해서는 많은 온톨로지 관련 언어가 있다. 그 중 최근의 연구 방향은 DAML+OIL과 OWL로 작성된 온톨로지를 이용한 추론, 인텔리전트 서비스 분야이다. 본 논문에서는 웹 상의 미술 작품 온톨로지에 대해 기존의 키워드 매칭 검색 대신에 추론엔진을 이용한 시맨틱 기반의 확장된 검색 방법을 소개한다. 향후 연구는 퍼지 개념을 도입하여 기존의 결과 보다 정확한 검색 결과를 얻기 위한 연구를 할 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.257-260
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• 2011

본 논문에서는 수화인식을 위한 신경망에서 특징추출과 분류단계의 방법론과, 특징 선별 기법을 통하여 분류기의 규모를 최적화 하는 방법을 고찰한다. 색상 및 움직임정보로부터 특징영역의 시간에 따른 변화를 3 차원 볼륨형태의 데이터로 표현하며, 이로부터 특징지도를 생성하는 과정에서 특징영역의 위치에 대한 변이를 보완하는 방법을 고려한다. 특징추출과정과 패턴 분류과정에서 점진적 학습이 가능한 모델과 특징 수를 효과적으로 줄일 수 있는 방법론을 제시하였으며, 학습된 신경망으로부터 특징과 패턴 클래스간의 상대적 연관성 척도를 정의하여 특징을 선별하도록 하였다. 제안된 내용에 대하여 여섯 가지 수화패턴에 대상으로 한 실험을 통하여 그 유용성을 평가하였다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.55-62
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• 2004

In this paper, the diagnostic expert system for silicone oil-filled transformer is developed using dissolved gas analysis(DGA). There are many diagnostic methods for diagnostic oil-immersed transformer. But DGA is used to the proposed expert system since it has been verified that DGA is very efficient diagnostic method for transformer. In addition, it is resonable that fuzzy rule, degree of inclusion and fuzzy measure must be considered to handle the uncertainty nature of gas boundary and rules. The proposed expert system consists of knowledge base module, inference engine module and human-machine interface(HMI) module. The knowledge base module consists of the knowledge using the rule. The inference engine module is used to the fuzzy rule. The history of the transformer gas data is managed by the database. the effect of the proposed expert system is verified by case studies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.558-566
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• 2015

LED, the next-generation light source, rapidly develops and has advantages of low power, high efficiency, and long life. Accordingly, an interest in lightings by using LED rises. If emotional lighting is implemented by using LED, all colors can be represented by using 3 primary colors of light, differently from the conventional single-color lighting. LED emotional lightings which can control human emotions continue to be developed thanks to these advantages. This study was conducted to design an algorithm for expressing LED emotional lighting in line with the situation and temperature by extracting colors for concentration and resting situations in indoor environment and mixing them with colors of the temperature felt by user. The LED emotional lighting designed with a neuro-fuzzy system was found to have effects on user's emotions during concentration and resting.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.1
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• pp.51-56
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• 2003

The main goal of existing mobile robot system was a complete autonomous navigation and the vision information was just used as an assistant way such as monitoring For this reason, the researches have been going towards sophistication of autonomousness gradually and the production costs also has been risen. However, it is also important to control remotely an inexpensive mobile robot system which has no intelligence at all. Such systems may be much more effective than fully autonomous systems in practice. Visual information from a simple camera and distance information from ultrasonic sensors are used for this system. Collision avoidance becomes the most important problem for this system. In this paper, we developed a force feedback joystick to control the robot system remotely with collision avoiding capability. Fuzzy logic is used for the algorithm in order to implement the expert s knowledge intelligently. Some experimental results show the force feedback joystick werks very well.

• Journal of Environmental Impact Assessment
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• v.5 no.1
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• pp.47-60
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• 1996

Nitrate contamination problems from groundwater supplies have been reported throughout many countries in the world, including Korea. Nitrate salts can induce methemoglobinemia and possibly human gastric cancer. To reduce human health risk from nitrate in groundwater supplies, several nitrate risk-management strategies can be developed based on the acceptable level of human health risk, the reasonableness of nitrate-control cost, and the technical feasibility of nitrate-control methods. However, due to a lack of available information, assessing risk, cost and technical feasibility contains elements of uncertainty. In the present paper, a nitrate risk-management methodology using fuzzy sets in combination with a multiobjective decision-making (MODM) technique is developed to assist decision makers in evaluating, with uncertain information, various nitrate risk-management strategies in order to decide a proper strategy.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.3
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• pp.55-64
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• 1997

In this paper, a fuzzy set based decision support system is designed for the color planning, that uses the linguistic image words of the space to be colored and progressively recommend the harmoneous colors for each objects in the space. The linguistic image words denotes various emotional effects of the colored space represented as the adjectives like 'romantic', 'beautiful', and so on. The search for object color should not destroy the overall image of the colored space and should be harmoneous with the previously determined object colors. The developed color planning system is composed of five subsystems; two dimentional graphic tools to draw the color space, the input system to receive the linguistic image words, the system to determine and recommend the main colcrs, the system to determine the harmonious colors and the system to adjust the determined wlor objects. We expect that the system can help designers and the persons who are not good at color design, and it can be applied to various color design such as interior, fashions, and product design.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.1-8
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• 2009

This paper proposes a new document clustering system using fuzzy logic-based genetic algorithm (GA) and semantic vector expansion technology. It has been known in many GA papers that the success depends on two factors, the diversity of the population and the capability to convergence. We use the fuzzy logic-based operators to adaptively adjust the influence between these two factors. In traditional document clustering, the most popular and straightforward approach to represent the document is vector space model (VSM). However, this approach not only leads to a high dimensional feature space, but also ignores the semantic relationships between some important words, which would affect the accuracy of clustering. In this paper we use latent semantic analysis (LSA)to expand the documents to corresponding semantic vectors conceptually, rather than the individual terms. Meanwhile, the sizes of the vectors can be reduced drastically. We test our clustering algorithm on 20 news groups and Reuter collection data sets. The results show that our method outperforms the conventional GA in various document representation environments.

• The Journal of Engineering Geology
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• v.21 no.4
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• pp.393-402
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• 2011

Asbestos is a toxic material that can lead to lung cancer and other diseases. There is no information regarding areas in Korea that contain asbestos in nature; consequently we need to manage such areas with care. The purpose of this study was to construct a local graded map of asbestos exposure risk based on the natural occurrence of asbestos in rocks. We first developed a means of evaluating the asbestos exposure risk and produced thematic maps based on a field survey. In addition, we constructed a knowledge base for asbestos through analysis, representation and processes about asbestos data and prepare for the development of an evaluation model for asbestos exposure risk. The spatial analysis of asbestos exposure risk is based on a weighted-overlay analysis using expert opinion and the literature, and a fuzzy-overlay analysis using the uncertainty in the data. The map of asbestos exposure risk, compiled according to the weighted and fuzzy operations, is expected to be used to ensure safety and to reduce the risk of exposure to asbestos.