• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.1039-1041
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• 2005

가상 풍동 실험은 슈퍼컴퓨터와 같은 고성능의 계산 지원과 실험을 위한 깊은 지식을 요구하여 실험을 수행하는데 많은 어려움이 수반된다. 그리드[1][2]는 산재한 자원을 연계하여 고성능 응용을 위해 효율적으로 활용할 수 있도록 하는 기반구조를 제공한다. 본 논문에서는 그리드 자원을 활용하여 가상 풍동 실험을 빠르고 효과적으로 수행할 수 있는 그리드 웹 포탈 서비스를 제안한다. 통합된 포탈 서비스를 통하여 사용자의 응용 및 실험환경의 요구사항을 반영한 격자생성, 계산 작업, 작업 모니터링, 결과 가시화를 효율적으로 수행한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.608-617
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• 2011

ubiquitous network management system (u-NMS) is the network management system based on smartphone which are recently of wide use. The purpose of the u-NMS is to provide convenience for network administrator utilizing the mobility of smartphone and to manage the network efficiently. This paper proposes the smart NMS agent and the mobility management server (MMS). The smart NMS agent enables to use the monitoring web server and remote control application on the smartphone in wireless network. The MMS is developed to reduce the problems such as handover latency and packet loss, which can be taken place in wireless network. The network manager can monitor traffic in real time through the smart NMS agent and remotely control the network efficiently when sudden failures happen in the u-NMS. In this paper, performance evaluation is carried out with our test-bed system implemented. We focus on the measurement of the MMS performance. When the MMS is compared to previous mobility management protocol, our mobility management server reduces the average latency up to 65% in initial access, handover latency and processing delay to the network management center.

• Journal of Biomedical Engineering Research
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• v.23 no.2
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• pp.131-137
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• 2002

The remote monitoring system including hemodynamic information and pump status of the implanted animal could be helpful during the in vivo experiment or clinical trial for an artificial heart Implantation. In order to monitor the course of the in vivo experiment continuously and anywhere, web-based remote monitoring system was developed, which can monitor pressures(AoP, LAP, RAP, PAP) and flow information as well as the pump operating conditions. The system consists of data sending, storing viewer part. The data sending part was constructed using component object model and the viewer part was constructed using the Java applet. In addition, the dialog box was introduced to communicate earth other instantly and the alarming function was also introduced when the hemodynamic values were out of the desired ranges. The developed remote monitoring system was applied during the in vivo experiment of the BVAD (Bi-ventricular Assist Device) implantation for 1 month and showed designed work without failure.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.12
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• pp.297-304
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• 2019

The technological advances such as communication, sensor, and artificial intelligence lead smart factory construction. Smart factory aims at efficient process control by utilizing data from the existing automation process and intelligence technology such as machine learning. As a result of constructing smart factory, productivity increases, but costs increase. Therefore, small companies try to make a step-by-step transition from existing process to smart factory. In this paper, we have proposed a remote control system that support data collection, monitoring, and control for manufacturing equipment to support the construction of CNC cutting machine based small-scale smart factory. We have proposed the structure and design of the proposed system and efficient sensing data transmission scheme. To check the feasibility, the system was implemented for CNC cutting machine and functionality verification was performed. For performance evaluation, the web page access time was measured. The results means that the implemented system is available level.

• Journal of Korea Multimedia Society
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• v.2 no.1
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• pp.1-8
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• 1999

To provide information service with time constraints, it is required to support real-time information system for retrieval and update of distributed information. In this paper, we propose an information retrieval system model for internet. We design and implement a Domain Administration-Oriented search engine for the regional information network. Accordingly, an intelligent robot gathering and updating distributed information is implemented. And, in order to improves the performance of the system, a realtime robot control policy based on the loads of network and web server is proposed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.5B
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• pp.824-832
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• 2010

In construction structure management, the effects of investigation by the professional manager is dependent on the cost, the inspection periods and methods. Therefore, effective and automated maintenance system for the target structure is required. Although some bridge monitoring systems are operating using wire based networks, the performance is not good enough to show sufficient ability as integrated bridge management system. In this paper, we design and implement an integrated bridge management system based on sensor networks. Two expert modules for bridge management and the integrated system management are provided. Moreover, web-based monitoring system is also designed for users at anywhere. The results show that the system is effective and readily available.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.77-77
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• 2021

가뭄은 사회·경제적으로 매우 큰 피해를 주는 자연재해이며, 그 시작과 발생 지역을 정확하게 예측하는 데 어려운 문제가 있다. 이에 수문 분야에서는 가뭄에 영향을 미치는 수문·기상인자들을 이용하여 다양한 가뭄지수를 개발하였고 이를 활용하여 가뭄 현상을 모니터링하고 예측 및 전망하는데 다양한 노력을 기울이고 있다. 하지만 가뭄지수들은 실제 가뭄이 어떠한 형태로 발생하는지 파악하기에 많은 한계점을 가지고 있다. 이에 최근 들어 미국과 유럽에서는 실제 농업, 환경, 에너지 등과 같은 다양한 분야에 걸쳐 가뭄 피해로 인해 생기는 가뭄 영향을 보다 체계적이고 상세한 데이터 인벤토리로 구축하고 가뭄지수와의 상관관계, 회귀분석과 같은 연구를 통해 가뭄 영향 예측을 시도하고 있다. 따라서 본 연구에서는 보고서, 데이터베이스, 웹 크롤링(Web-Crawling)을 통한 뉴스 기사 등과 같은 자료를 수집하여 국내 가뭄 영향 인벤토리를 구축하였다. 또한 수문 분야에 널리 사용되고 있는 가뭄지수인 표준 강수 증발산량지수 SPEI(Standardized Precipitation-Evapotranspiration Index)를 기반으로 지역에 따른 가뭄 영향을 예측하기 위해 최근 로지스틱 회귀모형, Random forest, Support vector machine, XGBoost 등의 다양한 머신러닝 기법을 적용하였다. 각 모형의 성능을 Receiver Operating Characteristic(ROC) 곡선을 통해 평가하여 가뭄 영향 예측에 적절한 머신러닝 기법을 제시하였다. 본 연구 결과를 통해 텍스트 기반의 가뭄 영향 자료와 머신러닝 기법을 통한 가뭄 영향 예측 방법론은 가뭄 재난 관리에 유용한 정보를 제공할 수 있다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.4
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• pp.28-38
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• 2009

In this study, a remote air quality monitoring system for underground spaces was developed by using NDIR-based CO$_2$ sensor. And the remote monitoring system based on wireless sensor networks was installed practically on the subway station platform. More than 6.5 million citizens commutate everyday by the Seoul subway transportation that is the most typical public transportation. They concern about air quality with increasing interest on public health or many workers in subway stations or underground shopping centers. Recently, the Korean Ministry of Environment has operated the air quality monitoring system in some subway stations for testing phase. However, it showed many defects which are large-scale, high-cost and maintenance of precision sensors imported from abroad. Therefore this research includes the reliability test and a theoretical study about the inexpensive commercialized CO$_2$ sensor for reliable measurement of air quality which changes rapidly by the surrounding environments. And then we develop the wireless sensor nodes and the gateway applied for remote air quality monitoring. In addition, web server program was realized to manage air quality in the subway platform. This result will be valuable for a basic research for air quality management in underground spaces for future study.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.887-892
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• 2019

Many researchers have developed a series of vision-based technologies to monitor construction sites automatically. To achieve high performance of vision-based technologies, it is essential to build a large amount and high quality of training image database (DB). To do that, researchers usually visit construction sites, install cameras at the jobsites, and collect images for training DB. However, such human and site-dependent approach requires a huge amount of time and costs, and it would be difficult to represent a range of characteristics of different construction sites and resources. To address these problems, this paper proposes a framework that automatically constructs a training image DB using web crawling techniques. For the validation, the authors conducted two different experiments with the automatically generated DB: construction work type classification and equipment classification. The results showed that the method could successfully build the training image DB for the two classification problems, and the findings of this study can be used to reduce the time and efforts for developing a vision-based technology on construction sites.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.221-229
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• 2007

Security of the port TCP/80 has been demanded by reason that the others besides web services have been rapidly increasing use of the port. Existing traffic analysis approaches can't distinguish web services traffic from application services when traffic passes though the port. monitoring method based on protocol and port analysis were weak in analyzing harmful traffic using the web port on account of being unable to distinguish payload. In this paper, we propose a method of detecting harmful traffic by web traffic analysis. To begin, traffic Capture by real time and classify by web traffic. Classed web traffic sorts each application service details and apply weight and detect harmful traffic. Finally, method propose and implement through coding. Therefore have a purpose of these paper to classify existing traffic analysis approaches was difficult web traffic classified normal traffic and harmful traffic and improved performance.