• Transactions of the Korean Society of Automotive Engineers
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• v.23 no.1
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• pp.56-64
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• 2015

This study presents a model-based gain scheduling strategy for PI-based EGR controllers. The air-to-fuel ratio is used as an indirect measurement of the EGR rate. In order to cope with the nonlinearity and parameter varying characteristics of the EGR system, we proposed a static gain model of the EGR system using a new scheduling parameter. With the 810 steady-state measurements, the static gain model achieved 0.94 of R-squared value. Based on the static gain of the EGR system, the PI gains were robustly designed using quantitative feedback theory. Consequently, the gains of the PI controller are scheduled according to the static gain parameter of the EGR path in runtime. The proposed model-based gain scheduling strategy was validated through various operating conditions of engine experiments such as setpoint step responses and disturbance rejections.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.5
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• pp.601-605
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• 2010

In this paper, we propose a GBL(Game Based Learning) content of intelligent tutoring capability. The objective of our GBL content is to learn the Karnaugh Map which is generally used to simplify boolean functions. Our GBL content well-motivates learners with interesting game-based scenarios and also, through an intelligent tutoring module, gives learners adaptive feedbacks such as hints and explanations while maintaining learners' contextual immersion. Additionally, we identified significant improvement in terms of learning effectiveness by analyzing the test results of two (experimental and controlled) student groups learning the Karnaugh Map.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.1 no.2
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• pp.49-55
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• 2000

In this paper, we show that our previously proposed second-order iterative learning control method with feedback is more effective and has better convergence performance than the second-order iterative learning control method without feedback, particularly in the case of the existence of initial condition errors. Also the convergence proof of the proposed method is given. And through the simulation result of applying the proposed method to the linear time-varying system, we show that our proposed method has enhanced robustness and stability in case of the existence of initial condition errors.

• Journal of Korea Game Society
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• v.13 no.6
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• pp.15-26
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• 2013

In recent years, studies in BCI game with popular BCI devices are progressing actively by the development of BCI(Brain Computer Interface) techniques. Most of BCI games have developed as experimental contents for researching. On the game control paradigm, it is insufficient to conduct a study about induced methods of proper barinwave to control the BCI game. In this study, we suggest a rhythm game using BCI which has a new play element that visualizes the rhythm of music and represents the notes of music in sound and a generation method of visual-auditory feedback through the synchronization of the tempo of music with brainwave. Experimental Results make certain that our suggestion is possible for the improvement of game score through the induction of brainwave that is necessary to control the game.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.323-329
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• 2021

Based on the research of the Public Welfare Games 'Mountaineering LightsUp', which is the main theme of helping the disadvantaged in society, this study uses the questionnaire method to obtain user data, and collects the data by using AMOS analysis for the effect of game interest elements on the experience of players. The results showed that the interesting elements (goal, obstacles, sense of belonging, atmosphere, story, information, and player to player communication) of the game were positively influenced by the experience of the game. And the questionnaire showed that the game still had problems such as playing simple, difficulty, lack of popularity, lack of feedback, and lack of storytelling. This paper also puts forward some proposals for these deficiencies. In future research, the research sample will be expanded, the research content will be improved, and the future Public Welfare Games will be designed and developed.

• Journal of Power System Engineering
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• v.7 no.4
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• pp.38-43
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• 2003

This paper proposes an optimum design problem of structural and control systems. taking a 3-D truss structure as an example. The structure is supposed to be subjected to initial static loads and time-varying disturbances. The structure is controlled by a state feedback $H_{\infty}$ controller to suppress the effect of the disturbances. The design variables are the cross sectional areas of truss members. The structural objective function is the structural weight. As the control objective, we consider two types of performance indices. The first function represents the effect of the initial loads. The second one is the norm of the feedback gain. These objective functions are in conflict with each other. Then, first, two control objective functions are transformed into one control objective by the weighting method. Next, the structural objective is treated as the constraint. By introducing the second control objective which considers the magnitude of the feedback gain, we can per limn the design which is robust in modeling errors.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.514-517
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• 2017

인간의 뇌에서 발생되는 뇌파를 분석해 실생활에 활용한다면 집중력, 기억력, 학습능력 등이 증가하는 효과를 볼 수 있다. 본 논문에서는 뇌파시장의 전망과 MindWave를 이용하여 RC카를 제어하고 뉴로피드백(Neuro-feedback)훈련을 통해 집중력향상에 도움을 주는 게임 개발 내용을 다룬다.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.19-23
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• 2003

컴퓨터 기술의 발전에 따라서 게임분야 역시 다양한 첨단 기술이 적용되고 있다. 예를 들면 강력한 3D가속 기능을 가진 비디오카드, 5.1 채널 사운드, 포스피드백 지원 입력 장치, 운전대, 적외선 센서, 음성 감지기 등이 게임의 입출력 인터페이스로서 이용되고 있다. 전형적인 방법 이외에도 광학방식이나 휴대용 게임기에 대한 플레이 방식에 대한 연구도 활발하다. 최근에는 비디오 게임기에도 사람의 동작을 인식하여 게임의 입력으로 받아들이는 기술이 상용화되기도 하였다. 본 논문에서는 이런 발전 방향을 고려하여 차세대 게임 인터페이스의 방식으로서 사용될 수 있는 사람의 표정 인식을 통한 인터페이스 구현을 위한 접근 방법들에 대하여 고찰을 하고자 한다. 사람의 표정을 입력으로 사용하는 게임은 심리적인 변화를 게임에 적용시킬 수 있으며, 유아나 장애자들이 게임을 플레이하기 위한 수단으로도 유용하게 사용될 수 있다. 영상을 통한 자동 얼굴 인식 및 분석 기술은 다양한 응용분야에 적용될 수 있는 관계로 많은 연구가 진행되어 왔다. 얼굴 인식은 동영상이나 정지영상과 같은 영상의 형태, 해상도, 조명의 정도 등에 따른 요소에 의하여 인식률이나 인식의 목적이 달라진다. 게임플레이어의 표정인식을 위해서는 얼굴의 정확한 인식 방법을 필요로 하며, 이를 위한 비교적 최근의 연구 동향을 살펴보고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.132-134
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• 2012

본 논문에서는 오디오 데이터를 분석하여 촉각 피드백을 출력할 수 있는 햅틱 라이브러리를 소개한다. 개발한 라이브러리는 안드로이드 플랫폼에서 동작하며, 어플리케이션에서 발생하는 오디오 신호를 이용하여 촉각 효과를 생성하므로, 기존 어플리케이션의 수정 없이 촉각 효과를 제공할 수 있다. 또한 복합적인 오디오 음원으로부터 사용자가 원하는 특정 주파수 대역을 선별하여 촉각 효과를 적용할 수 있다. 마지막으로 개발한 라이브러리를 레이싱 게임 및 음악감상 어플리케이션에 적용한 사례를 소개한다.

• Journal of the Korea Computer Graphics Society
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• v.25 no.2
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• pp.19-29
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• 2019

We develop a complete system that includes data collection, signal processing, and real-time interaction for effective neurofeedback training. Our system supports a sophisticated technique to find threshold values which are quite important for effective neurofeedback system. A therapist specifies a target success rate of positive feedback, allowable error and time. The system computes a current success rate and compare it with the target one. If the difference between two rates exceeds the allowable error for allowable time, we find an optimum threshold value to obtain the target success rate by using numerical optimization technique. We conduct several experiments by varying input parameters: target success rate, allowable error and time, and demonstrate the effectiveness of our technique by showing the desired target success rate is stably obtained and systematically controlled by input parameters.