• 한국지능시스템학회논문지
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• 제11권4호
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• pp.311-314
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• 2001

최근 지능 정보 처리에 대한 연구가 여러 분야에서 활발히 진행되고 있으며, 불확실하고 복잡한 동적 환경에서도 적응할 수 있도록 그 영역을 확장해 가고 있다. 본 논문에서는 다치 논리함수의 차분의 성질을 이용하여 동적 환경에 적응할 수 있는 다치 오토마타 모델을 제시하였다. 즉, 입력 스트링을 다치 함수의 치에 사상시키고, 다치 함수의 차분의 성질을 상태의 전이에 적용시켜 동적 변화에 자율적으로 적응할 수 있도록 하였다. 따라서, 다치 오토마타는 동적으로 변화하는 환경을 모델링하는데 광범위하게 응용될 수 있을 것이다.

• 한국자동차공학회논문집
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• 제6권5호
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• pp.138-145
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• 1998

Recently, TCS(Traction Control System) is attracting attention, because it maintains traction ability and steerability of vehicles on low-$\mu$ surface roads by controlling the slip rate between tire and road surface. The development of TCS control law is difficult due to the highly nonlinearity and uncertainty involved in TCS. A fuzzy logic approach is appealing for TCS. In this paper, fuzzy logic controller for TCS is introduced and evaluated by the computer simulation with 8 DOF vehicle model. The result indicate that the fuzzy logic TCS improves vehicle's stability and steerability.

• 한국자동차공학회논문집
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• 제8권5호
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• pp.196-206
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• 2000

These days, the fuzzy logic or the fuzzy set theory has received attention from a number of researchers in the area of industrial application. Moreover, the fuzzy logic control has been successfully applied to a large numbers of control problems where the conventional control methods had failed. Using this control theory we designed a climate controller for an automotive climate control system whose mathematical model is difficult. This paper describes an automotive climate control where the fuzzy control has been used to stabilize parameter uncertainties and disturbance effects. To show the validity and effectiveness of the proposed control method, the fuzzy logic controller was implemented with a philips 80C552 microcomputer chip and tested in an actual vehicle. From the experimental results, it could be conduced that the proposed controller is superior to conventional controllers in both control performance and thermal comfort. The climate control system in cars is difficult to model mathematically so we tested a fuzzy logic control system which promised better results.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.774-779
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• 2004

This paper describes the fault detection and failsafe logic to be used in the Electronic Stability Program (ESP). The Aim of this paper is prevention of erroneous control in the ESP. This paper introduces the fault detection logic and evaluation of residual signals. Failsafe logic consist of four redundant sub-models and they can be used for the detection of faults in each sensor (yaw rate, lateral acceleration, steering wheel angle). We presents two mathematical residual generation method ; one is the method by the average value, and the other is the method by the minimum value of the each residual. We verify a failsafe logic using vehicle test results, also we compare vehicle model based simulation results with test vehicle results.

• Journal of Information Processing Systems
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• 제11권4호
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• pp.630-642
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• 2015

In Jøsang's subjective logic, the fusion operator is not able to fuse three or more opinions at a time and it cannot consider the effect of time factors on fusion. Also, the base rate (a) and non-informative prior weight (C) could not change dynamically. In this paper, we propose an Improved Subjective Logic Model with Evidence Driven (ISLM-ED) that expands and enriches the subjective logic theory. It includes the multi-agent unified fusion operator and the dynamic function for the base rate (a) and the non-informative prior weight (C) through the changes in evidence. The multi-agent unified fusion operator not only meets the commutative and associative law but is also consistent with the researchers's cognitive rules. A strict mathematical proof was given by this paper. Finally, through the simulation experiments, the results show that the ISLM-ED is more reasonable and effective and that it can be better adapted to the changing environment.

• 한국산학기술학회논문지
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• 제15권9호
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• pp.5480-5486
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• 2014

조향계 엔지니어들에게 전동 조향 시스템의 시뮬레이션 및 분석을 위한 새로운 방식의 소프트웨어를 소개한다. 이 소프트웨어 MSAS는 전동 조향 시스템의 시뮬레이션, 분석 및 종합 기능을 제공하며, 기본적으로 조향계 모델과 차량모델 및 제어로직에 기초한다. 부품 공급회사들은 제어로직을 블랙박스 형태로 제공하기 때문에 이 소프트웨어는 로직 설계자의 의도에 따라 블랙박스 형태이든지 또는 화이트박스 형태이든지 모두 사용가능하다. 또한 이 소프트웨어는 공급회사들의 에스함수 제어로직 및 RMDPS와 함께 통합될 수 있다.

• 제어로봇시스템학회논문지
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• 제11권3호
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• pp.254-261
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• 2005

Time-optimal performances are analyzed in the sense of inner loop. A varying-time sharing thrusting logic is suggested as a new sequential paired thrusting logic for fast maneuvers of satellites with coupled thruster configuration. Its time-optimal maneuvering performance is compared with two conventional thrusting logics: separate thrusting logic and constant-time sharing sequential paired thrusting logic. It is found that the newly suggested varying-time sharing thrusting logic can be easily implemented by adjusting the conventional constant-time logic with its thrust on-time, while it can reduce the maneuvering time enormously as much as the separate thrusting logic. The performance of the logic is simulated on the agile maneuvering spacecraft model KOMPSAT-II.

• 인지과학
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• 제17권4호
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• pp.303-321
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• 2006

본 논문은 의미 중의성 해소에 대한 화자의 직관의 계산 모형에 대한 연구로 Harris (1964)의 '분포가설'에 근거하여 핵심어와 공기하는 어휘들에 대한 분포적 정규성을 포착하는 언어 직관의 계산 모형을 제안한다. 이를 위해 분포적 정규성에 대한 화자의 처리 계산 모형을 파악하기 위하여 심리언어학적 실험을 실시하고 그 결과를 분석한다. 계산 모형으로는 논리 모형, 확률 모형, 그리고 확률 추론 모형의 세가지 모형이 설정되었다. 실험은 두 가지로 구성되었다. 첫 번째는 100만 어절 코퍼스에서 추출된 문장을 화자 직관으로 의미를 식별하는 실험이었다. 이 실험에서는 응답간 일치도가 98%로 나왔다. 두 번째 실험은, 제한된 환경에서 실험자의 반응을 관찰하기 위한 것으로, 분열문이라는 환경을 통해 핵심어와 공기어사이의 의미 관계를 살펴보았다. 또한 100만 어절 코퍼스에서 관찰된 수치와 실험에서 관찰된 관찰치사이의 상관성을 피어슨의 상관계수로 측정하였다. 그러한 측정 결과 실제 코퍼스에서 관찰되는 현상은 논리모형과 상관성이 있었고, 제한된 환경에서 실시한 결과는 확률 모형과 상관성이 있었다. 이 실험결과는 논리 모형이 우선적으로 의미 분류에 관여하나, 만약 논리 모형이 적용되지 않을 경우 확률 모형이 관여함을 보여 준다. 아울러 의미 결정 모형의 관점에서는 논리 모형이 정확하게 직관모형을 예측할 수 있었고, 확률추론 모형도 직관모형을 근사치에 가깝게 예측할 수 있었다.

• 수산해양교육연구
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• 제28권2호
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• pp.336-349
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• 2016

The evaluation of the after-school program depends on whether it achieves its objectives or not so far which makes that it is not easy to figure out which mechanism is attributed to the consequences of the program. This study aims at developing the logic model of the after-school program and follows the processes such as literature review, opinion survey by specialists and in-depth interview with stakeholders. The target program of the study was focused on the special ability aptitude education in the elementary schools. The initial developed theory model was validated and finalized through being reviewed by specialists and teachers in charge of target schools. Based on the framework of logic model, the models are composed of context, components, activities, output/short term outcomes, and long term outcomes. As the key factors of the after-school program, amicable communication between the stakeholders, quality of the program in itself, follow-up management, counseling and guidance for students, instructors' expertise, and quality management of the program were drawn.

• Advances in Computational Design
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• 제4권4호
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• pp.367-379
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• 2019

Multiple Inputs and Multiple Outputs (MIMO) Fuzzy logic model is developed to predict the engine performance and emission characteristics of pongamia pinnata biodiesel with hydrogen injection. Engine performance and emission characteristics such as brake thermal efficiency (BTE), brake specific energy consumption (BSEC), hydrocarbon (HC), carbon monoxide (CO), carbon dioxide ($CO_2$) and nitrous oxides ($NO_X$) were considered. Experimental investigations were carried out by using four stroke single cylinder constant speed compression ignition engine with the rated power of 5.2 kW at variable load conditions. The performance and emission characteristics are measured using an Exhaust gas analyzer, smoke meter, piezoelectric pressure transducer and crank angle encoder for different fuel blends (Diesel, B10, B20 and B30) and engine load conditions. Fuzzy logic model uses triangular and trapezoidal membership function because of its higher predictive accuracy to predict the engine performance and emission characteristics. Computational results clearly demonstrate that, the proposed fuzzy model has produced fewer deviations and has exhibited higher predictive accuracy with acceptable determination correlation coefficients of 0.99136 to 1 with experimental values. The developed fuzzy logic model has produced good correlation between the fuzzy predicted and experimental values. So it is found to be useful for predicting the engine performance and emission characteristics with limited number of available data.