• 한국항행학회논문지
• /
• 제9권1호
• /
• pp.34-40
• /
• 2005

본 논문에서는 퍼지-PI 제어 알고리즘을 이용하는 무인 항공기용 터보제트 엔진 제어기를 제안한다. 터보제트 엔진의 가감속시 서지와 flame-out 현상을 방지하기 위해 연료 유량 제어 입력을 퍼지-PI 제어기로 생성한다. 가속도 오차의 로그함수를 사용하여 퍼지 추론 규칙을 만듦으로써 추종오차를 줄이도록 하였다. 제안된 제어기의 성능확인을 위한 컴퓨터 시뮬레이션은 선형 엔진 모델에 적용하였으며 엔진 출력이 기준 가감속 명령에 잘 추종함을 보였다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제14권2호
• /
• pp.113-121
• /
• 2014

A subsea oil production system must be safely operated for 20-30 years after being installed. Because of the severe conditions of the subsea environment, such as extreme high pressure, low visibility, the possibility of unexpected impact by any object, and corrosion by seawater, subsea oil production systems should be monitored by subsea data logger systems and remotely operated vehicles to check for abnormal vibration and leakage to prevent a catastrophic accident. Because of the severity of subsea environmental conditions and the dominance of a few companies in the market, many people have thought that it would be difficult to develop a subsea data logger system. The primary objectives of the study described in this paper were to analyze existing subsea data logger systems to establish the requirements for a subsea data logger system, implement a prototype subsea data logger system, and conduct a test of the prototype subsea data logger system.

• 한국진공학회:학술대회논문집
• /
• 한국진공학회 2012년도 제43회 하계 정기 학술대회 초록집
• /
• pp.114-114
• /
• 2012

Even though graphene was introduced with a great hope to replace silicon in future, small (or zero) band gap and poor stability have become major challenges in graphene electronics. Especially, rectification and amplification function which are the elemental functions of silicon device, is very difficult to implement without a bandgap. However, the graphene can still be used in many other device applications if the merits of graphene are creatively utilized. For example, graphene can be applied to almost any kind of substrate. Its conductivity can be varied in some degree using electric field, charge dipole, attached molecules, and many other ways. Recently, graphene stacked with ferroelectric materials or piezoelectric materials has been actively studied for various device applications. In this talk, various device applications of graphene using hybrid stack or novel device structure will be introduced and their prospect will be discussed.

• International Journal of Control, Automation, and Systems
• /
• 제5권6호
• /
• pp.630-642
• /
• 2007

In this paper, we propose a direct model reference adaptive fuzzy control (MRAFC) for MIMO nonlinear systems whose structure is represented by the Takagi-Sugeno fuzzy model. The adaptive law of the MRAFC estimates the approximation error of the fuzzy logic system so that it provides asymptotic tracking of the reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal. To verify the validity and effectiveness of the MRAFC scheme, the suggested analysis and design techniques are applied to the tracking control of robot manipulator and simulation studies are carried out. In the control design, the MRAFC is combined with feedforward PD control to make the actual joint trajectories of the robot manipulator with system uncertainties track the desired reference joint position trajectories asymptotically stably.

• International Journal of CAD/CAM
• /
• 제5권1호
• /
• pp.99-109
• /
• 2005

This paper introduces an approach to an ontology-based multi-level knowledge framework for a knowledge management system for discrete-product development. Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects: therefore, we suggest an ontology-based multi-level knowledge framework (OBMKF). The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so ambiguity can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain knowledge and guides the engineer to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and manufactured item level, according to the various viewpoints. The top level is specialized knowledge for a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of knowledge and is represented with first-order logic to maintain a uniform representation.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제15권1호
• /
• pp.35-44
• /
• 2015

The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

• JSTS:Journal of Semiconductor Technology and Science
• /
• 제12권3호
• /
• pp.286-292
• /
• 2012

Scan techniques are almost mandatorily adopted in designing current System-on-a-Chip (SoC) to enhance testability, but inadvertently secret keys can be stolen through the scan test channels of crypto SoCs. An efficient scan design technique is proposed in this paper to protect the secret key of an Advanced Encryption Standard (AES) core embedded in an SoC. A new instruction is added to IEEE 1149.1 boundary scan to use a fake key instead of user key, in which the fake key is chosen with meticulous care to improve the testability as well. Our approach can be implemented as user defined logic with conventional boundary scan design, hence no modification is necessary to any crypto IP core. Conformance to the IEEE 1149.1 standards is completely preserved while yielding better performance of area, power, and fault coverage with highly robust protection of the secret user key.

• 대한수학교육학회지:수학교육학연구
• /
• 제14권2호
• /
• pp.143-156
• /
• 2004

Lakatos의 수리철학은 수학적 지식의 준경험성을 주장한 것으로서, 수학의 성장, 발전의 맥락을 제공해 주는, 교육적으로 매우 의미 있는 철학이다. 그러나 Lakatos의 수학적 발견의 논리는 증명과 반례에 기초하고 있어서, 증명을 다루지 않는 초등학교에서는 Lakatos의 방법론을 적용하기가 쉽지 않다. 이 연구는 Lakatos의 방법론을 초등학교 수준에서 적용할 수 있는 방안과 그 적용 사례를 개발하고자 하는 것이다. 이 연구에서는 초등학교 수준에서 Lakatos의 방법론을 교수 방법과 교육과정 구성 방법의 두 가지로 적용 방안을 구상하고, 교수 방법의 적용 사례를 개발하였다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2009년도 제40회 하계학술대회
• /
• pp.1098_1099
• /
• 2009

In this paper, we present the estimation of wind turbine power generation using Cascade Architectures of Fuzzy Neural Networks(CAFNN). The proposed model uses the wind speed average, the standard deviation and the past output power as input data. The CAFNN identification process uses a 10-min average wind speed with its standard deviation. The method for rule-based fuzzy modeling uses Gaussian membership function. It has three fuzzy variables with three modifiable parameters. The CAFNN's configuration has three Logic Processors(LP) that are constructed cascade architecture and an effective optimization method uses two-level genetic algorithm. First, The CAFNN is trained with one-day average input variables. Once the CAFNN has been trained, test data are used without any update. The main advantage of using CAFNN is having simple structure of system with many input variables. Therefore, The proposed CAFNN technique is useful to predict the wind turbine(WT) power effectively and hence that information will be helpful to decide the control strategy for the WT system operation and application.

• Journal of Electrical Engineering and Technology
• /
• 제4권4호
• /
• pp.499-509
• /
• 2009

Electric vehicles (EV) are developing fast during this decade due to drastic issues on the protection of environment and the shortage of energy sources, so new technologies allow the development of electric vehicles (EV) by means of electric motors associated with static converters. The proposed propulsion system consists of two induction motors (IM) that ensure the drive of the two back driving wheels. The electronic differential system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, every driving wheel to turn at different speeds in any curve. This paper presents the study of an hybrid Fuzzy-sliding mode control (SMC) strategy for the electric vehicle driving wheels, stability improvement, in which the fuzzy logic system replace the discontinuous control action of the classical SMC law. Our electric vehicle fuzzy-sliding mode control's simulated in Matlab SIMULINK environment, the results obtained present the efficiency of the proposed control with no overshoot, the rising time is perfected with good disturbances rejections comparing with the classical control law.