• 음성과학
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• 제11권2호
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• pp.27-38
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• 2004

This study attempted to determine the effects of a cooperative and cognitive group therapy compared to individual therapy in 24 aphasic subjects. Two dependent variables were measured overall language performance, functional communication skills. 18 subjects with different types and severity of aphasia participated in the group therapy. 6 aphasic subjects participated in the individual therapy and they functioned as a control group. The subjects were ranged from 27 to 59 years in age. The group therapy using the cooperative learning utilized the following procedures. First, 6 aphasics constituted 1 group where each subject peformed a task and they monitored one another. Second, 2 aphasics consisted 1 group and they cooperated to perform a task. Third, 3 groups with 2 aphasics in a group competed one another in a task where the 2 aphasics had to cooperated. Finally, the investigator gave the feedback to the group and she and the subjects discussed the overall procedures of the therapy. The above mentioned 2 tests were administered pre- and post-treatment. A repeated two-way ANOVA was performed for analysis. The results showed that the group therapy was more effective in improving overall language performance as compared to the individual therapy. And, the group therapy was more effective in increasing functional communication skills as compared to the individual therapy.

• 한국시스템다이내믹스연구
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• 제7권1호
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• pp.5-26
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• 2006

Ever increasing dependence of organization on information technology stimulates interactions between individuals and groups in the process of knowledge creation, which overall impies that a reciprocal mechanism lies within the structure of the growth of group intelligence. Individual's intelligence may affect the group intelligence, and vise versa. However, the level of group intelligence is not necessarily determined by the sum of individual's intelligence but the quality of the interactions among the individuals. This study thus aims to conceptually identify the dynamic structure of interactions among the factors influencing the group intelligence level, which is believed to be used as a tool to measure the difference of intelligence between groups. To achieve this goal several attempts were made. First, determinants of intelligence at indiviual level and group level and similarities and differences between individual's and group intelligence were identified from the previous research. Second, causal loop diagrams were developed, which show how individual's intelligence influences group intelligence and vise versa. Third, it was attempted to identify and interpret which feedback loops are most influential in either improving or hapering group intelligence as a whole. Since this study remains only at exploratory level, a more detailed and workable model for field applications has to be developed in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3730-3744
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• 2020

This study proposes a deep learning-based evolutionary recommendation model for heterogeneous big data integration, for which collaborative filtering and a neural-network algorithm are employed. The proposed model is used to apply an individual's importance or sensory level to formulate a recommendation using the decision-making feedback. The evolutionary recommendation model is based on the Deep Neural Network (DNN), which is useful for analyzing and evaluating the feedback data among various neural-network algorithms, and the DNN is combined with collaborative filtering. The designed model is used to extract health information from data collected by the Korea National Health and Nutrition Examination Survey, and the collaborative filtering-based recommendation model was compared with the deep learning-based evolutionary recommendation model to evaluate its performance. The RMSE is used to evaluate the performance of the proposed model. According to the comparative analysis, the accuracy of the deep learning-based evolutionary recommendation model is superior to that of the collaborative filtering-based recommendation model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.92-94
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• 2004

In the previous work, we proposed a new stability criterion for the stability of switched linear systems. By the proposed criterion, we could simply check the stability of switched linear systems because the criterion is applicable to each individual subsystem without need to consider the overall system. Using this criterion, we provided the methods that design a state feedback control when full states are available. In this paper, we apply the same criterion to the case when full states are not available. Unlike existing method such as dwelling time analysis, the proposed method is suitable to a fast switching process because there is no need to consider dwelling time. And we can easily achieve designing multi-controller, multi-estimator, and the supervisor by means of the proposed method.

• 한국정밀공학회지
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• 제24권11호
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• pp.91-100
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• 2007

Many manufacturing devices must execute motions as quickly as possible to achieve profitable high-volume production. Most of them have devices having flexibility and a time delay of one sampling is added to the plants when they are controlled by fast discrete controllers, which brings about non-minimum phase zeros. This paper develops a control strategy that combines feedforward and feedback control with command shaping for such devices. First, the feedback controller is designed to increase damping and eliminate steady-state error. Next, the feedforward controller is designed to speed up the transient response. Finally, an appropriate reference profile is generated using command-shaping techniques to ensure fast point-to-point motions with minimum residual vibration. The particular focus of the paper is to understand the interactions between these individual control components. The resulting control strategy is demonstrated on a model of a high-speed semiconductor manufacturing machine.

• 대한전기학회논문지
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• 제43권2호
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• pp.197-205
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• 1994

Security of a power system refers to its robustness relative to a set of imminent disturbances (contingencies) during operation. The socially optimal solution for the actuall level of generation/consumption has been well-known spot pricing at shot-run marginal cost. The main disadvantage of this approach arises because serious contingencies occur quite infrequently. Thus by establishing contractual obligations for contingency offering before an actual operation time through decision feedback we can obtain socially optimal level of system security. Under probabilistic precontract pricing the operating point is established at equal incremental cost of the expected short-run and collapse cost of each participant. Rates for power generation/consumption and for an offer to use during a contingency, as well as information on the probability distribution of contingency need for each participant, are derived so that individual optimization will lead to the socially optimal solution in which system security is optimized and the aggregate benefit is maxmized.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.475-478
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• 1999

In this paper, we propose the robust performance design of multivariable systems within the framework of Quantitative Feedback Theory(QFT) using ICD. The ICD(Individual Channel Design) is a multivariable control method based on the classical frequence response. It is considered to apply feedforward controller for compensating the effect of interconnection between channels. Performance of the proposed method are demonstrated by simulations in appling gas turbine model.

• 한국지능시스템학회논문지
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• 제9권5호
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• pp.496-508
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• 1999

Fuzzy System which are based on membership functions and rules can control nonlinear uncertain complex systems well. However Fuzzy logic controller(FLC) has problems; It is difficult to design the stable FLC and FLC depends mainly on individual experience. Although FLC can be designed using the error back-propagation algorithm it takes long time to converge into global optimal parameters. Well-developed linear system theory should not be replaced by FLC but instead it should be suitably used with FLC. A new methodology is introduced for designing THEN-PART membership functions of FLC based on its well-tuned state feedback controller. A example of inverted pendulum is given for demonstration of the robustness of proposed methodology.

• 컴퓨터교육학회논문지
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• 제7권1호
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• pp.107-118
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• 2004

본 연구에서 제안하는 시스템은 기존의 웹기반에서의 문제운행 시스템원리인 학습내용전개$\rightarrow$문제제공$\rightarrow$평가결과를 제시하는 수준에서 탈피한 IPI(Individually Prescribed Instruction: 개별처방식 수업)를 적용한 개별완전학습을 목표로 설계 구현한 것이다. 개별완전학습을 하기 위하여 먼저 선수학습의 진단평가가 이루어지며 이에 따라 학생들 각자에 맞는 학습을 하게 된다. 또한 학생들마다 수업 목표에 도달하는 시간이 다르기 때문에 하나의 단원을 완전학습하기 전에는 다음 단원으로 학습이 진행될 수 없다. 따라서 학습의 성취도를 측정하기위해 각 단원의 학습 뒤에 평가가 이루어지며 평가결과 80%이상의 성취수준을 보이면 다음 단원의 학습으로 계속 진행이 이루어지고, 80%미만의 성취수준을 보이면 다음단원으로의 진행이 제한되고 개인별 보충학습이 이루어진다. 여기서 보충학습은 학습자가 완전히 학습하지 못한 학습에 대한 수준별 처방 학습이다. 따라서 본 연구는 개별처방식 수업의 완전학습에 그 목표를 두고 선수학습 결손을 방지하고 개인적 능력에 따라 피드백 학습을 하여 완전학습 목표에 도달할 수 있도록 시스템을 설계 및 구현하였다.

• 한국전자파학회논문지
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• 제19권10호
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• pp.1096-1103
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• 2008

본 논문에서는 개별 차수 혼변조 신호 발생기를 이용한 전치 왜곡 선형화기 구조를 제안하였다 혼변조 신호 발생기는 공통 에미터 증폭기의 에미터 단자에 쇼트키 다이오드를 삽입하여, 3차와 5차 혼변조 신호를 다이오드 바이어스 전압에 따라서 발생시킨다. 이렇게 만들어진 혼변조 신호는 다이오드의 직렬 궤환을 이용한 것으로, 다이오드 바이어스 제어에 따라서 혼변조 신호의 크기와 위상을 변화시킬 수 있다. 이러한 혼변조 발생기를 전치 왜곡 선형화기로 사용했을 때, 반송파 2톤 신호 인가 시 3차와 5차 혼변조 신호는 각각 13.5 dB, 0.9 dB의 개선을 보였고, 광 대역폭을 갖는 CDMA IS-95 2FA 신호를 인가하였을 경우, 중심 주파수로부터 ${\pm}0.885$ MHz, ${\pm}1.23$ MHz 떨어진 지점에서 ACLR이 각각 2.3 dB, 2.5 dB의 개선됨을 확인하였다.