• 제목/요약/키워드: Loaming Performance

검색결과 53건 처리시간 0.02초

분사조건변환기에 따른 인젝터 성능 분석 시스템 개발 (A Development of Injector Performance Analysis System by Injection Condition Converter)

  • 손일문;이중순
    • 한국분무공학회지
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    • 제11권4호
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    • pp.228-233
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    • 2006
  • There are two types of electric controlled fuel injection system in the gasoline engines of common vehicles. One is fuel return system and the other is fuel returnless system according to the methods of controlling injection pressures. It is important to understand the characteristics of these system in loaming and studying of engine, but it is very difficult without a special equipment in reality. The purpose of this paper is to develop the emulation system that can be compensated with the amount of injection fuel according to various driving conditions, battery voltage, cooling water temperature, and engine speed, may be appeared in real driving, and especially can analyze the difference between the electric signal controlling the amount of injection fuel and its result, and nullity injection duration. With the developed system, we can conveniently set various and completed driving condition and so can acquire the useful information such as non-uniformity rate and mass of injection fuel using waveform analysis and measurement modules. It must be a very useful and sophisticated system to instruct and learn the features and operating states of injection system, and to study f3r improving the performance of it.

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교사의 수학에 대한 신념이 수업 방법과 학생의 문제해결 수행에 미치는 영향 (The Effects of Teacher's Beliefs about Mathematics on the Method of Class and the Performance of Problem Solving)

  • 김시년
    • 한국수학교육학회지시리즈C:초등수학교육
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    • 제3권1호
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    • pp.79-88
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    • 1999
  • This paper shows how the social tradition and belief of korea on education affects teachers and students and learning. 1 Interview with teacher. During surveying this teacher's class, we knowed that the teacher have accentuated algorism loaming and preparation fur external examination in math class. Teacher's beliefs about mathematics have a strong effect on the method of class and the performance of problem solving 2. Interview with students and short test. 1) Students usually had fine ability of calculation for number. But Many pupils didn't know the meaning of the operations. 2) The most of pupils are good at routine math problem solving but when the question whose the condition don't meet was given, they experienced difficulties.3.Korean sociocultural specialty on education: The korean place high emphasis on education and think of education as the means of success. This emphasis can be traced to the Confucian view. 1) tradition on examination culture. 2) the traditional convention of the learning method. Korean sociocultural specialty on education play role of strengthen role learning and algorism class. The important things to education reformation are getting a balance between practice and understanding. we should make changes not only in national dimension but also in math class.

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MFCC-HMM-GMM을 이용한 근전도(EMG)신호 패턴인식의 성능 개선 (Performance Improvement of EMG-Pattern Recognition Using MFCC-HMM-GMM)

  • 최흥호;김정호;권장우
    • 대한의용생체공학회:의공학회지
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    • 제27권5호
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    • pp.237-244
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    • 2006
  • This study proposes an approach to the performance improvement of EMG(Electromyogram) pattern recognition. MFCC(Mel-Frequency Cepstral Coefficients)'s approach is molded after the characteristics of the human hearing organ. While it supplies the most typical feature in frequency domain, it should be reorganized to detect the features in EMG signal. And the dynamic aspects of EMG are important for a task, such as a continuous prosthetic control or various time length EMG signal recognition, which have not been successfully mastered by the most approaches. Thus, this paper proposes reorganized MFCC and HMM-GMM, which is adaptable for the dynamic features of the signal. Moreover, it requires an analysis on the most suitable system setting fur EMG pattern recognition. To meet the requirement, this study balanced the recognition-rate against the error-rates produced by the various settings when loaming based on the EMG data for each motion.

협동기술 훈련이 초등학생의 과학 학습에 미치는 효과 (The Effect of Cooperative Skill Training on Elementary School Students생 Learning in Science)

  • 한영욱;박수경;김대홍
    • 한국초등과학교육학회지:초등과학교육
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    • 제19권1호
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    • pp.29-39
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    • 2000
  • The purpose of this study was to investigate the effect of cooperative skill training on elementary school students' science achievement and self-esteem. Three different groups were used in this study. For the two treatment groups, cooperative loaming strategies were used and the one control group, traditional instruction was used. One of the treatment group was trained cooperative skills before the instruction. A total of 120 children sampled from 5th graders of a elementary school. All groups were taught about the change of the weather and structure of the plants. After the instruction a researcher made science achievement test and questionnaire of self-esteem were administered. The data analysis consisted of a 3(instructional strategies)×3(learning ability level) ANCOVA on the score of the achievement and self-esteem. The ANCOVA results revealed that there were significant main effect in the scores of achievement and also significant interaction effect between the instructional strategies and learning ability. The performance of high-level students in two treatment groups was higher than that of students in the control group, but the performance of high-level students with cooperative skill training was not higher than that of students without cooperative skill training. However, the performance of medium and low-level students with cooperative skill training was higher than that of students without cooperative skill training. The significant main effect was also found in the self-esteem but there were no significant interactions between the instructional strategies and learning ability. The academic self and social self of students with cooperative skill training was higher than that of students without cooperative skill training.

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수직다물체시스템의 간접적응형 분산학습제어에 관한 연구 (A Study on Indirect Adaptive Decentralized Learning Control of the Vertical Multiple Dynamic System)

  • 이수철;박석순;이재원
    • 한국정밀공학회지
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    • 제22권4호
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    • pp.92-98
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    • 2005
  • The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented an iterative precision of linear decentralized learning control based on p-integrated learning method for the vertical dynamic multiple systems. This paper develops an indirect decentralized teaming control based on adaptive control method. The original motivation of the teaming control field was loaming in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Some techniques will show up in the numerical simulation for vertical dynamic robot. The methods of learning system are shown up for the iterative precision of each link.

2차원 불변 영상 인식을 위한 퍼지 분류기와 바이스펙트럼 (Fuzzy Classifier and Bispectrum for Invariant 2-D Shape Recognition)

  • 한수환;우영운
    • 한국멀티미디어학회논문지
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    • 제3권3호
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    • pp.241-252
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    • 2000
  • 이 논문에서는 2차원 영상의 외곽선 정보를 이용하여 추출한 바이스펙트럼과 가중치 퍼지 분류기를 이용하여 영상의 이동, 회전, 크기 변화에 무관한 패턴 인식 기법을 제안하고, 그 인식 결과를 LVQ(Learning Vector Quantization)를 이용한 신경망 분류기와 비교하였다. 3차 큐물런트를 근간으로하는 바이 스펙트럼은 각 영상의 외각선 정보에 적용되어 15개의 특징값들을 추출한다. 이 특징 벡터들은 영상의 이동, 회전, 크기 변화에 무관한 특징을 가지며 2차원 평면 영상의 대표값으로 사용되어 패턴 분류를 위해 가중치 퍼지 분류기의 입력으로 들어간다. 서로 다른 8가지 비행기들의 평면 영상을 이용하여 실험한 결과들은 제안된 인식 시스템의 성능이 상대적으로 우수함을 보였다.

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지역사회리더 리더십역량의 중요-성취도 분석 (An Importance-Performance Analysis(IPA) on the Leadership Competency of Rural Community Leaders)

  • 박은식;이채식;박덕병;고정숙
    • 농촌계획
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    • 제12권1호
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    • pp.59-66
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    • 2006
  • The purposes of this study were to identify leadership competences of rural leaders and to analyze leadership competency of leaders. The study carried out by questionnaire and focus group interview on expert panels. To analyze leadership competency, the data was collected from 273 rural leaders by stratified random sampling. SPSSWIN/ver10 program was used for analyzing data with t-test and IPA method. The study suggests twenty low types of leadership competences which were information, vision, decision making, motivation communication, education residents, managing residents, loaming, flexibility, problem solving, presentation program management, customer orientation service knowledge, making relationship, creative idea, business understanding, brand development, conflict resolution negotiation, assessment, business management, coaching and feed back. Whereas leaders with middle school educational career required developing program management, maintaining achievement and benchmarking, leaders with high school were morel likely to develope self-learning, to benchmark their knowhow and brand development competency. Whereas leader with less low years experiences as leader have been considered as developing coaching/feedback brand development and program development, leaders with more five years as leader should consider developing benchmarking, resident education, and brand development. The study suggests that the extension agents on public should develop leadership program according to the competency differences of leaders.

Fuzzy-ART Basis Equalizer for Satellite Nonlinear Channel

  • Lee, Jung-Sik;Hwang, Jae-Jeong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권1호
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    • pp.43-48
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    • 2002
  • This paper discusses the application of fuzzy-ARTMAP neural network to compensate the nonlinearity of satellite communication channel. The fuzzy-ARTMAP is the class of ART(adaptive resonance theory) architectures designed fur supervised loaming. It has capabilities not fecund in other neural network approaches, that includes a small number of parameters, no requirements fur the choice of initial weights, automatic increase of hidden units, and capability of adding new data without retraining previously trained data. By a match tracking process with vigilance parameter, fuzzy-ARTMAP neural network achieves a minimax teaming rule that minimizes predictive error and maximizes generalization. Thus, the system automatically leans a minimal number of recognition categories, or hidden units, to meet accuracy criteria. As a input-converting process for implementing fuzzy-ARTMAP equalizer, the sigmoid function is chosen to convert actual channel output to the proper input values of fuzzy-ARTMAP. Simulation studies are performed over satellite nonlinear channels. QPSK signals with Gaussian noise are generated at random from Volterra model. The performance of proposed fuzzy-ARTMAP equalizer is compared with MLP equalizer.

행동기반 제어방식을 위한 득점과 학습을 통한 행동선택기법 (Action Selection by Voting with Loaming Capability for a Behavior-based Control Approach)

  • 정석민;오상록;윤도영;유범재;정정주
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.163-168
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    • 2002
  • The voting algorithm for action selection performs self-improvement by Reinforcement learning algorithm in the dynamic environment. The proposed voting algorithm improves the navigation of the robot by adapting the eligibility of the behaviors and determining the Command Set Generator (CGS). The Navigator that using a proposed voting algorithm corresponds to the CGS for giving the weight values and taking the reward values. It is necessary to decide which Command Set control the mobile robot at given time and to select among the candidate actions. The Command Set was learnt online by means as Q-learning. Action Selector compares Q-values of Navigator with Heterogeneous behaviors. Finally, real-world experimentation was carried out. Results show the good performance for the selection on command set as well as the convergence of Q-value.

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A Modularized Approach to the Development of the Creativity Learning Program

  • Won, Kyung-Ah
    • 디자인학연구
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    • 제20권2호
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    • pp.103-116
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    • 2007
  • Art education in design has repeatedly stressed the importance of developing creativity. In the digital period, however, which shows rapid change in both forms and contents, it needs to be equipped with more flexible and systematic ways of approaching to the creativity development, especially involved with cultural diversity of the digital world. This paper primarily proposes a maximally efficient, productive creativity learning program in which the integration of expressive media and communication generates a comprehensive network of communicative information in the development of digital technologies, which, consequently, brings forth valuable cultural contents of art. The amalgamation of Won (2006)'s Prism Effect, with distinctive three devices, and the facilitator factors, with two different facilitators such as self-controlled and controlled plays, would function as a catalyst for cultural diversity in the digital forms and contents of art. And this will, consequently, result in producing a number of practices that can be classified and assorted for a later performance. This paper thus suggests a roadmap of how to develop the creativity learning program in which two categories of facilitators based on three thinking devices function to classify four activities. In addition, selected activities are shaped as a creativity learning program by generating learning practices with the formalizing instructional strategy that fit into a specialized educational environment and learners. The samples of loaming practice design show guidelines for practice and the results of learning activity. Therefore, the eventual goal of this paper would be to establish a creativity learning program that constitutes a highly systematized and modularized database to maximize the efficiency and productivity of the creativity development.

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