• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.95-113
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• 2003

We introduce an AFES(Adaptive Fuzzy Evaluation System) that applies an evaluation system used to existing LCMS(Learning Contents Management System) to a fuzzy reasoning rule. The AFES confers a course level on the learner through a fuzzy diagnostic evaluation before the learner enters a learning course. After the learner completes a learning course through the tailored learning path that is suitable for the learner's level, the AFES confers a final grade on the learner by means of fuzzy final evaluation. The biggest characteristic of the AFES is a grade rule of the final grade. Although different learners get the same number of correct answers to the same number of Questions, AFES flexibly confers the different final grade on the learner by means of the number of 125's fuzzy reasoning rules.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.516-516
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• 2017

기후변화로 인하여, 홍수, 사막화, 엘니뇨 등의 자연재해가 이전보다 더 발생하고 있다. 기후변화 적응은 전 세계적으로 기후변화 대응보다 중요해지고 있다. 기후변화 적응을 위한 이슈 중 하나가 물 순환이다. 각 국가에서는 물 순환을 활성화하기 위한 기술을 개발하고 있다. 특히, 저영향개발(LID, Low Impact Development)이라는 물을 확보하기 위한 정책이 각 국가별로 추진되고 있으며, 이에 따른 기술이 개발되고 있다. 국내에서도 2001년에 국토해양부는 수자원장기종합계획을 발표하고, 환경부에서는 2013년에 LID기술요소 가이드라인과 환경영향평가 시 적용 가능한 저영향개발 매뉴얼을 개발하는 등 LID기술을 개발하고 적용하기 위한 정책을 펼치고 있다. 이러한 LID기술 중 하나가 빗물 집수시스템이며, 이 빗물집수시스템은 주거지역에서 빗물을 배수하고, 집수하여 빗물을 이용하기 위해 적용되고 있다. 현재 적용되고 있는 빗물 집수시스템은 측구 집수시스템과 원형 집수시스템이 있으며, 최근에는 수로형 집수시스템이 적용되는 지역도 있다. 본 연구에서는 전과정 평가(LCA, Life Cycle Assessment)를 이용하여 빗물 집수시스템의 환경성을 평가하고자 한다. 현재, 국내에서는 녹색건축물인증, 탄소성적 표지인증, 환경성적 표지인증 등 LCA를 이용하여 환경성을 평가하고 있다. 특히, 본 연구에서는 기후변화 측면에서 LCA를 적용하여 이산화탄소배출량을 평가하고자 하였다. 본 연구의 범위는 빗물집수시스템 30m로 가정하였으며, 측구 집수시스템, 원형 집수시스템 및 수로형 집수시스템의 건설, 운영 및 유지관리, 해체 및 폐기단계의 전 과정이다. 각 빗물 집수시스템에 대해 각 단계별로 이산화탄소 배출량을 산정한 결과, 수로형 집수시스템은 $2.82\;ton\;CO_2\;eq./set$이며, 원형 집수시스템은 $27.65\;ton\;CO_2\;eq./set$, 측구 집수시스템은 $21.54\;ton\;CO_2\;eq./set$이 배출되었다. 이산화탄소배출량 측면에서는 수로형 집수시스템이 나머지 두집수시스템보다 87~90%가 저감되는 것으로 나타났다. 본 연구는 저영향개발에 대응하는 동시에 기후변화를 대응한다는 측면에서 빗물 집수시스템 정책에 활용되고, 설계시에도 반영될 수 있을 것으로 사료된다. 추가적으로 이산화탄소뿐 만 아니라, 다른 환경성을 평가하는 연구가 진행될 필요가 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.662-665
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• 2013

ITS(Intelligent Tutoring System) is a system that provides active and flexible tutoring conditions to learners, having adopted artificial intelligence to overcome the limitations of CAI(Computer Assisted Instruction). However, the existing ITS has a few problems; the system provides the same contents to every learner, not considering main variants of their learning and achievement, characters and levels, and therefore, it does not generate satisfactory results; the system does not offer a properly designed course schedule. Therefore, this thesis proposes ARS(Adaptive Recommendation System), founded on ITS, that provides contents designed based on the characters and levels of learners. To catch the characters of learners, the important variant for successful learning, ARS applies and embodies a module of self-assessment test. Also, it puts weighs according to the areas of learning which is different from the simplified assessment that asks for short and mechanical answers for the purpose of knowing the levels of the learners.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.4C
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• pp.365-373
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• 2003

In this paper, we design a versatle RS decoder which can decode RS codes of any block length n as well as any message length k, based on a modified Euclid's algorithm (MEA). This unique feature is favorable for a shortened RS code of any block length it eliminates the need to insert zeros before decoding a shortened RS code. Furthermore, the value of error correcting capability t can be changed in real time at every codeword block. Thus, when a return channel is available, the error correcting capability can be adaptiverly altered according to channel state. The decoder permits 4-step pipelined processing : (1) syndrome calculation (2) MEA block (3) error magnitude calculation (4) decoder failure check. Each step is designed to form a structure suitable for decoding a RS code with varying block length. A new architecture is proposed for a MEA block in step (2) and an architecture of outputting in reversed order is employed for a polynomial evaluation in step (3). To maintain to throughput rate with less circuitry, the MEA block uses not only a multiplexing and recursive technique but also an overclocking technique. The adaptive RS decoder over GF($2^8$) with the maximal error correcting capability of 10 has been designed in VHDL, and successfully synthesized in a FPGA.

• Journal of the Korean GEO-environmental Society
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• v.18 no.2
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• pp.47-51
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• 2017

In this study, the optimization algorithm by inverse analysis that is the core of the adaptive management technique was adopted to update the soil engineering properties based on the ground response during the construction. Adaptive management technique is the framework wherein construction and design procedures are adjusted based on observations and measurements made as construction proceeds. To evaluate the performance of the adaptive management technique, the numerical simulation for the triaxial tests and the synthetic deep excavation were conducted with the Hardening Soil model. To effectively conduct the analysis, the effective parameters among the parameters employed in the model were selected based on the composite scaled sensitivity analysis. The results from the undrained triaxial tests performed with soft Chicago clays were used for the parameter calibration. The simulation for the synthetic deep excavation were conducted assuming that the soil engineering parameters obtained from the triaxial simulation represent the actual field condition. These values were used as the reference values. The observation for the synthetic deep excavation simulations was the horizontal displacement of the support wall that has the highest composite scaled sensitivity among the other possible observations. It was found that the horizontal displacement of the support wall with the various initial soil properties were converged to the reference displacement by using the adaptive management technique.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.6
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• pp.805-814
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• 2013

This paper proposes a robust hand segmentation method using view-invariant characteristic of a wrist-mounted camera, and deals with a hand shape recognition system based on segmented hand information. We actively utilize the advantage of the proposed camera device that provides view-invariant images physically, and segment hand region using a Bayesian rule based on adaptive histograms. We construct HSV histograms from RGB histograms, and update HSV histograms using hand region information from a current image. We also propose a user adaptation method by which hand models gradually approach user-dependent models from user-independent models as the user uses the system. The proposed method was evaluated using 16 Korean manual alphabet, and we obtained increases of 27.91% in recognition success rate.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.4
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• pp.481-488
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• 2011

In this paper, we study a novel wireless interference cancellation system(ICS) repeater based on OFDM system with phase noise analysis and performance evaluation. Recently, there were many researches about wireless repeater. The previous study is just considering the feedback channel cancellation algorithm. But, in wireless repeater system, the phase noise effect can exist at up and down converter of wireless repeater. In wireless repeater system, if there are phase noise effects, the performance of system will get worse. So, the phase noise compensator is needed in wireless repeater. Therefore, we propose adaptive phase noise compensator based on OFDM system in order to effectively cancel phase noise. In order to cancel interference, we adapt adaptive phase noise compensator in wireless repeater system. The adaptive phase noise compensator compensates phase noise effect. Therefore, in this paper, we analyze phase noise of wireless repeater based on OFDM system. In this paper, when phase noise power is -15 dBc and phase noise cutoff frequency is 100 kHz at 4QAM, the BER performance of propose algorithm is better about 4 dB than with adaptive equalizer and without phase noise compensator at $10^{-4}$.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.321-329
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• 2004

사이버 가정학습은 오늘날 학교교육에서 발생하는 많은 문제점을 해결할 수 있는 새로운 교육방법으로서의 잠재력을 갖고 있다. 본 연구에서의 평가시스템은 사이버 가정학습 체제에서 학습자의 수준에 반응하는 즉, 학습자의 성취도를 가장 정확하게 측정할 수 있는 문제를 추출하고 피험자의 수준에 알맞게 평가의 길이, 내용을 제시하며 평가 결과에 따라 난이도를 조절 할 수 있는 평가시스템이다. 그리고 IRT 기법을 사용하여 피험자의 능력 수준을 알기 위하여 준비된 모든 문항을 해결하지 않고 피험자의 능력 수준에 의해 선택된 몇 개의 문항만으로 피험자의 능력 수준을 측정할 수 있도록 하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.233-241
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• 2004

본 논문에서는 분산된 관리대상의 시스템자원과 사용자정보, 사용패턴을 Context로 수집하여, 구성(Configuration)을 수행하는 적응형 자가관리시스템을 제안한다. 본 시스템은 기존에 수동으로 이루어지던 Configuration 작업들 (Install, Reconfiguration, Update)을 자율적으로 수행하여, 사용자의 시스템관리에 대한 부담을 줄여주게 되며, 많은 비용과 오류를 감소시켜준다. 본 시스템은 수집된 Context 정보를 기반으로 사용자의 환경에 맞는 구성요소를 선택하여 설치하게 되며, 사용자의 기존 애플리케이션의 환경설정과 사용패턴을 기반으로, 보다 개인화된 설정을 해준다. 설정 이후에는 사용자의 행동을 암시적 피드백으로 받아, 이를 학습하고 유사한 상황이 다시 발생할 경우, 이를 다음 행동에 반영한다. 그리고 기존에 중앙서버로부터 일률적으로 관련파일을 전송하고 관리하는 중앙집중배포방식의 여러 문제점에 대응하기 위해 Peer-to-Peer 방식으로 파일을 카피하고, 이를 통해 중앙서버의 과부하를 줄이는 동시에 빠른 파일의 배포가 가능하도록 하였다. 본 시스템의 평가를 위해 프로토타입을 구현하여, 기존 수동 Configuration작업, MS-IBM과 같은 관련시스템과의 비교를 수행하였으며, 기능적 측면과 작업에 소요되는 시간에 대한 비교결과를 통해 본 시스템의 유효성을 증명하였다.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.2
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• pp.119-128
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• 2006

As dialogue systems are widely required, the research on natural language generation in dialogue has raised attention. Contrary to conventional dialogue systems that reply to the user with a set of predefined answers, a newly developed dialogue system generates them dynamically and trains the answers to support more flexible and customized dialogues with humans. This paper proposes an evolutionary method for generating sentences using interactive genetic programming. Sentence plan trees, which stand for the sentence structures, are adopted as the representation of genetic programming. With interactive evolution process with the user, a set of customized sentence structures is obtained. The proposed method applies to a dialogue-based train booking agent and the usability test demonstrates the usefulness of the proposed method.