• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.388-392
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• 2010

지하 배관 구조물은 국가 주요 자원의 수송망을 책임지는 핵심적인 기능을 수행하는 시설물로써, 배관구조물의 노후화와 부식, 균열, 조인트 풀림 등의 손상으로 인한 누출사고 발생 시 막대한 사회 경제적 손실을 초래할 우려가 있다. 특히, 지중배관 및 노출배관 경우에는, 현장 작업상황이 지속적으로 변화하고 있는 상황에서 24시간 안전관리에 대한 감시체계가 미흡한 것이 현실이다. 고가의 센서설치 및 배관의 유지관리 비용 등의 문제를 극복하려는 센서개발 연구 및 센서로부터 취득된 계측데이터를 현장에서 분석하여 실시간으로 배관의 이상상태를 판정하여 원격으로 그 판정결과를 알려주는 유비쿼터스 원격감시기법에 대한 연구 및 기술개발이 요구된다. 본 논문에서는 USN 기술을 활용한 배관안전진단 기술을 소개하고 임피던스 기반의 자가 감지 기법을 활용한 다양한 구조의 배관에 대해 진단 연구를 수행 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.284-288
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• 2007

P2P 환경은 피어의 유동성과 자원 상태 변화 등 실행 환경 변화가 빈번히 발생한다. 이 논문에서는 가변하는 실행환경에서 피어간 컨텐츠를 지원함에 있어 환경에 잘 적용될 수 있는 오버레이 네트워크를 구성하여 안정적으로 컨텐츠를 분배하는 미들웨어 서비스 구조를 제안하였다. 또한 컨텐츠 전송 중의 결함 감지 서비스를 지원하여 자율적으로 분배 트리를 재 적용한 프로토타입을 통해 실제 환경에서 적용가능성을 확인하였다.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.6
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• pp.229-236
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• 2022

Based on the Internet of Things, a web system that can check the condition around the fire extinguisher, whether a fire has occurred, and an application that can receive fire notifications in real time is implemented. Minimize errors that occur during development by using software engineering to clarify the goals of the system and define the structure in detail. In addition, for IoT-based fire extinguishers, a method of reducing defects by finding product defects in the demand analysis, design, and implementation stages and analyzing the cause thereof is proposed. Through the proposed research, it is possible to secure the reliability of defect management for IoT-based smart fire extinguisher.

• Journal of KIISE:Software and Applications
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• v.36 no.9
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• pp.732-748
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• 2009

The technology of Semantic Web realizes the base technology for context-awareness that creates new services by dynamically and flexibly combining various resources (people, concepts, etc). According to the realization of ubiquitous computing technology, many researchers are currently working for the embodiment of web service. However, most studies of them bring about the only predefined results those are limited to the initial description by service designer. In this paper, we propose a new service supporting model to provide an automatic method for plan related tasks which achieve goal state from initial state. The inputs on an planner are intial and goal descriptions which are mapped to the current situation and to the user request respectively. The idea of the method is to infer context from world model by DL-based ontology reasoning using OWL domain ontology. The context guide services to be loaded into planner. Then, the planner searches and plans at least one service to satisfy the goal state from initial state. This is STRIPS-style backward planner, and combine OWL-S services based on AI planning theory that enabling reduced search scope of huge web-service space. Also, when feasible service do not find using pattern matching, we give user alternative services through DL-based semantic searching. The experimental result demonstrates a new possibility for realizing dynamic service modeler, compared to OWLS-XPlan, which has been known as an effective application for service composition.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.11
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• pp.2305-2315
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• 2015

Frequency resource value is growing more and more with the development of the wireless communication. With the advent of the current information society comes a serious shortage of frequency resource, as the amount of supply is far from meeting its demands. Thus, cognitive radio (CR) technique is receiving more attention as a way to make use of the temporarily unoccupied frequency resource. In this paper we propose a novel out-of-band spectrum sensing and dynamic channel access scheme for frequency hopping-based cognitive radio ad-hoc networks. At the beginning of each current channel hopping time, member nodes perform spectrum sensing for the next hopping channel. Based on the proposed collision free primary detection notification, member nodes can determine whether they should execute a hopping time extension procedure of the current channel or not. When the primary detected hopping channel is re-idled, the hopping pattern recovery procedure is performed. In this paper we evaluated the performance of the proposed dynamic sensing and hopping channel extension mechanism for the various wireless network conditions. As a result, we show that the proposed method can increase channel utilization and provide reliable channel management operation.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.1-17
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• 2001

This paper deals with an agent-based decision-supporting system for Taguchi experiment planning. Among the four major parts of Taguchi experiment, the planning phase includes the most important decision-making issues such as determination of experiment objectives, quality characteristics, and control factors. The planning phase, however, has not been paid proper attention by experiment designers. In this research, an agent-based decision-supporting system for Taguchi experiment planning has been developed to facilitate the planning tasks of experiment designer. The decision-supporting system is composed of two agent-based mechanisms. The first employs an Internet agent that collects the domain knowledge from knowledge providers who may be distributed in remote places. Another agent then visualizes the collected knowledge and reports it to the experiment designer. Engineers who would normally have difficulties in collaborating because of limitations on their time or because they are in different places can easily work together in the same experiment team and brainstorm to make good decisions. The second agent-based mechanism offers context-sensitive advice generated by another intelligent agent during the experiment planning process. it prevents the experiment designer from making improper decisions, which will increase the feasibility of the experiment and minimize the unnecessary expense of time and resources.

• Journal of KIISE:Information Networking
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• v.34 no.3
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• pp.156-167
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• 2007

In this paper, we develop the model based prediction algorithm for Variable-Bit-Rate(VBR) video traffic with regular Group of Picture(GOP) pattern. We use multiplicative ARIMA process called GOP ARIMA (ARIMA for Group Of Pictures) as a base stochastic model. Kalman Filter based prediction algorithm consists of two process: GOP ARIMA modeling and prediction. In performance study, we produce three video traces (news, drama, sports) and we compare the accuracy of three different prediction schemes: Kalman Filter based prediction, linear prediction, and double exponential smoothing. The proposed prediction algorithm yields superior prediction accuracy than the other two. We also show that confidence interval analysis can effectively detect scene changes of the sample video sequence. The Kalman filter based prediction algorithm proposed in this work makes significant contributions to various aspects of network traffic engineering and resource allocation.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.669-673
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• 2012

제방안전성 모니터링은 제방파괴로부터 국민의 생명과 재산을 보호하는데 필요한 정보를 얻을 수 있는 하나의 방법이 될 수 있다. 근래에 미국은 2005년 허리케인 카타리나에 의해 2,000여명의 인명손실을 경험하였고 2011년 3월 일본은 도후쿠지역의 초강력 지진에 의한 쓰나미로 인해 수만명의 인명과 후쿠시마 원자력 발전소의 침수로 지금까지 방사능 누출 차단작업을 벌이고 있다. 국내에서는 4대강 복원사업으로 주요 국가 하천 구간에서 홍수 및 체제 불안정에 의한 제방붕괴사고위험이 현격하게 줄어들었으나 제방의 안전성은 더욱 강조되고 있다. 즉 신설된 보 주변, 배수통문 신설구간 그리고 제방누수 예상지점 등에서는 아직 안전한 상태라고 확신할 수 없으며 지속적인 모니터링이 요구된다. 따라서 본 연구에서는 광섬유를 이용하여 개발한 간극수압 및 온도 센서 등을 위험예상지점에 설치하고 정보시스템을 통하여 어떻게 관리 할 것인가에 대한 사전 검토를 계획하였다. 이를 위하여 제방에 센서를 설치하기 전에 주요 검토사항에 대하여 연구분석하였다. 주요 검토사항에는 설치하고자 하는 지점의 제방거동 메커니즘 예측, 왜 계측시스템을 설치하는지에 대한 목적에 대한 평가, 설치 지점의 제방의 토질공학적 문제점 파악, 모니터링 대상 매개변수 혹은 항목 선정, 조사대상 항목의 변화정도를 예측하여 거동 범위 확정, 적정 계측기기 설치 지점을 선청, 계측기기 선정, 자동화 혹은 실시간 정보시스템에 필요한 사항 결정, 관측에 영향을 미치는 인자들의 기록 계획, 정보의 타당성 확보를 위한 필요사항 정립, 비용의 결정, 장기 예측 계획, 정기 검 보정 및 관리 계획, 자료수집 및 관리계획, 자원의 공조 및 생애주기 비용 등을 포함하였다.

• Journal of Life Science
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• v.31 no.2
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• pp.219-222
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• 2021

In this study, we examined low molecular weight peptides using proteomics in order to identify their original proteins, derive their peptides, and determine the functions of the proteins in Tenebrio molitor, the mealworm (larvae, pupae, or adult) from which the peptides were extracted. Fifty-four proteins were finally identified through an analysis of proteome to derive the analyzed peptides. The proteins that induced low molecular weight peptides were identified to be the most abundant in adults only, and the next highest were derived from a group containing both adults and larva. However, other groups, including pupa, were detected to have a lower frequency of peptides. As a result of orthologous classification of the detected proteins, the general function prediction was only investigated at the highest frequency among the examined proteins. Proteins related to chromatin structure and dynamics were detected by their higher frequency among functional classes. The next highest frequency was shown by proteins related to amino acid transport and metabolism and carbohydrate transport and metabolism. Therefore, it is assumed that proteins correlated with chromatin, amino acid, and carbohydrate metabolisms are easily induced into low molecular weight peptides, and that their peptides could play a role as bioactive substances.