• Structural Engineering and Mechanics
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• 제15권4호
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• pp.451-462
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• 2003

In this paper, a new block iterative algorithm is presented by using the special feature of the continuous Riccati equation in the optimal shape control. Because the real-time control require that the CPU time should be as short as possible, an appropriate modal control algorithm is sought. The computing cost is less than the one of the all state feedback control. A numerical example is given to illustrate the algorithm.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2010년도 춘계학술대회
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• pp.151-154
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• 2010

In this paper, we propose an energy monitoring and management service based on wireless sensors and a home gateway for homes and buildings. Homes and buildings have a significant energy saving potential compared with other sectors. Sensing, monitoring, and managing of the information on the energy consumption are required for an efficient energy saving service. The proposed system is composed of two main components, wireless sensor and an intelligent home gateway. Wireless sensors have the ZigBee communication interface for communication, and the intelligent home gateway is an energy portal. We expect that energy saving could be achieved with this system. As a further work, we will analyze the practical impact of the proposed service.

• Computers and Concrete
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• 제32권4호
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• pp.399-410
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• 2023

This study proposes a novel use of backpropagated Levenberg-Marquardt neural networks based on computational intelligence heuristics to comprehend the examination of hybrid nanoparticles on the flow of dusty liquid via stretched cylinder. A two-phase model is employed in the present work to describe the fluid flow. The use of desulphated nanoparticles of silver and molybdenum suspended in water as base fluid. The mathematical model represented in terms of partial differential equations, Implementing similarity transformationsis model is converted to ordinary differential equations for the analysis . By adjusting the particle mass concentration and curvature parameter, a unique technique is utilized to generate a dataset for the proposed Levenberg-Marquardt neural networks in various nanoparticle circumstances on the flow of dusty liquid via stretched cylinder. The intelligent solver Levenberg-Marquardt neural networks is trained, tested and verified to identify the nanoparticles on the flow of dusty liquid solution for various situations. The Levenberg-Marquardt neural networks approach is applied for the solution of the hybrid nanoparticles on the flow of dusty liquid via stretched cylinder model. It is validated by comparison with the standard solution, regression analysis, histograms, and absolute error analysis. Strong agreement between proposed results and reference solutions as well as accuracy provide an evidence of the framework's validity.

• 교육시설
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• 제5권1호
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• pp.44-52
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• 1998

Nowadays, social environment is rapidly changed toward globalization and information age, and which demands the new paradigm for active utilization of information system in the field of education and many others. The effort to adapt tele-communication technique to educational facilities and the planning to make virtual university come true are needed immediately. Intelligent Building system should be applied to educational facilities to cope with the changing and progressing building system. As a result of the surveying eleven domestic universities, it was found that library management system, administration automation system and office automation system were already introduced, but campus infrastructure such as network system and tele-communication system between buildings in campus have been constructed now. As the conclusion of this study, impeding factors and improvement direction for active utilization of intelligent building systems in university facilities were presented.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.1018-1019
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• 2023

목 아래로 전신마비가 되어 간병인 없이는 일상적인 생활이 불편한 와병 환자들을 위하여 뇌파(EEG) 및 목의 근전도(EMG)와 같은 생체신호 기반의 인터페이스를 제안하였다. 이를 이용하여 환자의 이상 상태를 보호자에게 알릴 수 있고 환자의 제한적인 움직임이나 집중하는 것만으로도 간단한 서비스 등을 직접 로봇에게 명령을 내릴 수 있도록 구현하였다.

• 한국지능시스템학회논문지
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• 제26권2호
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• pp.105-112
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• 2016

본 논문은 대학 캠퍼스를 주행하는 차량의 자율주행을 위한 실험환경 구축에 대해 논한다. 이 차량은 대학이나 공원과 같은 특별한 장소에서 사용되고 근거리를 이동하기 위해 2인이 탑승한다. 정문에서 본부까지 자율주행을 수행하기 위한 실험환경을 구축한다. 초기 단계로 카메라로 바닥의 색깔을 구별하여 선을 검출한다. 빨간색과 노란색의 경계선을 검출하여 로봇차량이 추종할 수 있도록 하였다. 일부 구간의 자율 주행 실험을 통해 가능성을 검증하였다.

• International Journal of Automotive Technology
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• 제3권2호
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• pp.79-88
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• 2002

Emergent Collision Avoidance Systems (CAS's) are beginning to assist drivers by performing specific tasks and extending the limits of driver's perception. As CAS's evolve from simple systems handling discrete tasks to complex systems managing interrelated driving tasks, the risk of failure from hidden causes greatly increases. The successful implementation of such a complex system depends upon a robust software architecture. Host of the difficulty in implementing system arises from interconnections between the components. The CAS architecture presented in this paper focuses on these interconnections to mitigate this problem. Moreover, by constructing the GAS architecture through the composition of existing architectural styles, the resulting system will exhibit predictable qualities. Some of the qualities represent limitations that translate into constraints on the system. Others are beneficial aspects that satisfy stakeholder requirements .

• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.216-224
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• 2023

Smart lighting systems have become increasingly popular in several public sectors because of trends toward urbanization and intelligent technologies. In this study, we designed and implemented a web application platform to explore and monitor data acquired from lighting devices at Thammasat University (Rangsit Campus, Thailand). The platform provides a convenient interface for administrative and operative staff to monitor, control, and collect data from sensors installed on campus in real time for creating geographically specific big data. Platform development focuses on both back- and front-end applications to allow a seamless process for recording and displaying data from interconnected devices. Responsible persons can interact with devices and acquire data effortlessly, minimizing workforce and human error. The collected data were analyzed using an exploratory data analysis process. Missing data behavior caused by system outages was also investigated.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.419-422
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• 2003

To improve the recognition accuracy of a developed artificial odor discrimination system for three mixture fragrance recognition, Fuzzy Similarity based Self-Organized Network inspired by Immune Algorithm (F-SONIA) is proposed. Minimum, average, and maximum values of fragrance data acquisitions are used to form triangular fuzzy numbers. Then the fuzzy similarity treasure is used to define the relationship between fragrance inputs and connection strengths of hidden units. The fuzzy similarity is defined as the maximum value of the intersection region between triangular fuzzy set of input vectors and the connection strengths of hidden units. In experiments, performances of the proposed method is compared with the conventional Self-Organized Network inspired by Immune Algorithm (SONIA), and the Fuzzy Learning Vector Quantization (FLVQ). Experiments show that F-SONIA improves recognition accuracy of SONIA by 3-9％. Comparing to the previously developed artificial odor discrimination system that used FLVQ as pattern classifier, the recognition accuracy is increased by 14-25％.

• 디지털융복합연구
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• 제14권4호
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• pp.19-31
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• 2016

정보통신 기술의 발전으로 대학교육에 있어 새로운 패러다임이 요구되고 있으며, 이를 반영한 스마트 캠퍼스 구축은 전 세계적으로 대학의 핵심 이슈로 떠오르고 있다. 본 연구의 목적은 스마트 캠퍼스 관련 문헌들을 고찰함으로써 주요 이슈들을 논의하고, 스마트 캠퍼스의 체계적 구축을 위한 프레임워크를 개발하고, 나아가 학문적, 실무적으로 유용한 제언을 도출하는 것이다. 이를 위해 스마트 캠퍼스에 관한 국내외 최근 연구들을 1) 학습 및 지식 중심의 접근, 2) 기술 중심의 접근, 3) 통합적 접근, 4) 이용자 중심의 접근의 네 가지 연구 관점별로 고찰하였으며, 이를 기반으로 스마트 캠퍼스 프레임워크를 도출하였다. 스마트 캠퍼스 이용자 범주에는 직접적 이용자인 학내 구성원뿐만 아니라 간접적 이용자로서 지역사회 및 비즈니스 이해관계자까지 포함되었으며, 스마트 캠퍼스 프레임워크에는 스마트 교육, 스마트 생활, 스마트 행정의 세 영역에 포괄되는 세부 활동영역과 스마트 캠퍼스 동기 요인들이 제시되었다. 또한 선행연구에서 제기되는 주요 이슈와 문제점들을 고찰함으로써 안정적이고 지속적인 스마트 캠퍼스 추진을 위해 요구되는 대응 방안들을 제언하였다.