• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.741-746
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• 2002

본 논문에서는 학습자 스스로가 학습 능력을 조절하고 학습 내용과 시험 평가를 객관적으로 판단할 있는 자기 주도적 학습 내용 및 시험 평가 방법을 제안하였다. 제안된 자기 주도적 학습 내용 및 시험평가 방법은 삼각형 타입의 소속 함수와 퍼지 논리를 이용하여 학습 능력과 시험 능력의 소속도를 계산하고 각각에 대해 퍼지 등급도를 부여하였다. 학습 능력의 소속도와 시험 능력의 소속도에 대해서 퍼지 관계의 연산 및 합성에 의해 최종 소속도를 계산하고 퍼지 등급도를 결정하여 학습자가 학습 능력의 소속도와 시험 능력의 소속도 및 최종 퍼지 등급도를 분석하여 스스로 학습을 조정할 수 있도록 하였다. 그리고 제안된 연구 내용을 정보 검색사 필기 과목에 적용하여 구현하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.1
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• pp.41-48
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• 2007

Latest advances in network sensor technology and state of the art of mobile robot, and artificial intelligence research can be employed to develop autonomous and distributed monitoring systems. In this study, as the preliminary step for developing a multi-purpose "Intelligent Space" platform to implement advanced technologies easily to realize smart services to human. We will give an explanation for the ISpace system architecture designed and implemented in this study and a short review of existing techniques, since there exist several recent thorough books and review paper on this paper. Instead we will focus on the main results with relevance to the DIND data fusion with CI of Intelligent Space. We will conclude by discussing some possible future extensions of ISpace. It is first dealt with the general principle of the navigation and guidance architecture, then the detailed functions tracking multiple objects, human detection and motion assessment, with the results from the simulations run.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.198-202
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• 2006

In this paper, we introduce Baldwin's approximate reasoning with fuzzy logic and some truth function mappings usually used in Baldwin's method. And we introduce some assessment criteria for approximate reasonings and we define some truth function mappings which satisfy more criteria than those which are already known.

• Journal of the Korean Society of Safety
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• v.18 no.4
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• pp.155-163
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• 2003

The intensity of industrial accidents has been increased while the number of industrial accidents has been decreased in theses days. It represents that we need safety guidelines based on personal attributes as well as physical attributes. This study tries to identify major causative factors for industrial accidents and to suggest an evaluation model based on personal attributes. Specifically, relationship between self-efficacy belief associated with industrial safety and other relative personal attributes has been analyzed. First, FGI(Focus Group Interview) was conducted to identify important personal attributes of industrial accidents. The questionnaire was prepared based on the results of FGI and was applied to identifying personal attributes. The relationship between personal attributes identified in this study and self-efficacy belief was assessed using fuzzy logic and fault tree analysis. The results of the assessment showed that self-efficacy belief was closely associated with industrial accidents. Specifically, workers with accident experience had higher level of self-efficacy beliefs than workers without accident experience.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2251-2253
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• 2003

This paper is concerned with the active vibration control of flexible cantilever beam system using electromagnetic force actuator. The main objective of this paper is to propose the control algorithms and implement the experimental setups for active vibration control. Several control algorithms are proposed and implemented on the experimental setups to show their efficacy. These include a PID control design, an optimal $H_2$ control design, and a fuzzy PID control design. Effectiveness and performance of the designed controller were verified by both simulation and experiment results.

• Structural Engineering and Mechanics
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• v.89 no.3
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• pp.301-308
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• 2024

Concrete carbonation is a continuous and slow process from the outside to the inside, in which its penetration slows down with the increased depth of carbonation. In this paper, the results of the evaluation of the measurement of concrete carbonation depth using a non-destructive ultrasonic testing method are presented. According to the results, the relative nonlinear parameter caused more sensitivity in carbonation changes compared to Rayleigh's fuzzy velocity. Thus, the acoustic nonlinear parameter is expected to be applied as a quantitative index to recognize carbonation effects. In this research, combo diagrams were developed based on the results of ultrasonic testing and the experiment to determine carbonation depth using a phenolphthalein solution, which could be considered as instructions in the projects involving non-destructive ultrasonic test methods. The minimum and maximum accuracy of this method were 89% and 97%, respectively, which is a reasonable range for operational projects. From the analysis performed, some useful expressions are found by applying the regression analysis for the nonlinearity index and the carbonation penetration depth values as a guideline.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.61-70
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• 2016

Construction enterprises have performed various projects such as buildings, infrastructure and plant projects in the international market. Among these, the plant project's amount of orders accounted for about 68.9% of all. However, because of the enterprises won a contract with a low-budget for plant project in the last 10 years, the profit has dropped dramatically. And it is forecasted that there are extreme competition for bid award of plant projects because of the current falling oil prices and raising interest rates. In this circumstance, the comprehending of enterprises strength and weakness must be a priority to get a sustainable competitive advantage. Therefore this research suggests the enterprises's capability assessment framework and it is in order to diagnose the korean construction enterprises capabilities. The framework is based on the VRIO model that is on the basis of resource based theory. First, the capability assessment indices and their importance and priority that based on the life-cycle of plant project is deducted by literature review and survey. Second, the 5 point likert score applied VRIO survey is conducted to diagnose the enterprises and quantified the survey result using the fuzzy theory. Lastly, the competitvie implication and capability assessment are deducted.

• Safety and Health at Work
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• v.8 no.3
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• pp.267-275
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• 2017

Background: The mining industry is known worldwide for its highly risky and hazardous working environment. Technological advancement in ore extraction techniques for proliferation of production levels has caused further concern for safety in this industry. Research so far in the area of safety has revealed that the majority of incidents in hazardous industry take place because of human error, the control of which would enhance safety levels in working sites to a considerable extent. Methods: The present work focuses upon the analysis of human factors such as unsafe acts, preconditions for unsafe acts, unsafe leadership, and organizational influences. A modified human factor analysis and classification system (HFACS) was adopted and an accident predictive fuzzy reasoning approach (FRA)-based system was developed to predict the likelihood of accidents for manganese mines in India, using analysis of factors such as age, experience of worker, shift of work, etc. Results: The outcome of the analysis indicated that skill-based errors are most critical and require immediate attention for mitigation. The FRA-based accident prediction system developed gives an outcome as an indicative risk score associated with the identified accident-prone situation, based upon which a suitable plan for mitigation can be developed. Conclusion: Unsafe acts of the worker are the most critical human factors identified to be controlled on priority basis. A significant association of factors (namely age, experience of the worker, and shift of work) with unsafe acts performed by the operator is identified based upon which the FRA-based accident prediction model is proposed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.3244-3251
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• 2012

In the construction and operation of large marine structure, hazard risk analysis is one of important factors. Therefore, this paper investigates the hazard risk indexes and evaluates the risk level in the construction and operation of SFT on the basis of expert survey and Fuzzy analytic hierarchy process. Hazard risk is divided into natural hazard risk (earthquake, typhoon, tsunami, and ice collision) and human factor hazard risk (fire, explosion, traffic accident, ship or submarine collision). Also, the influence of hazard risk indexes on SFT was evaluated in tunnel tube, supporting system, ventilation tower, foundation, and connection part. As the hazard risk level of SFT is compared with those of bridge, underwater tunnel, and immersed tunnel, the intrinsic risk level of SFT was evaluated. Tsunami and earthquake had higher risk level in natural hazard risk, and the risk levels of fire and explosion were higher in human factor hazard risk. Hazard risk level of SFT was 1.4 times higher than immersed tunnel, and 3.2 times higher than bridge.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.62-63
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• 2009

A monitoring system of collision risk among multiple ships is newly-designed in order to reduce human error and make vessel traffic control more effective. By using AIS data as ships' navigational information, an estimation algorithm of collision risk among multiple ships is newly-designed. To consider ships' course of now and future, collision risks of multiple ships can be calculated by using fuzzy algorithm. To test the performance of new algorithm, replay simulations are carried out on actual AIS data collected from VTS center of Ulsan harbor in Korea. The AIS data include 25 ships' information for two hours. In this paper, the features of newly-designed estimation algorithm of collision risk and the results of replay simulation are discussed.