• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.3-6
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• 2008

본 논문에서는 레일형 GB-SAR의 단점을 극복하고자 차량에 원형레일을 탑재하여 신속한 기동을 확보하고 합성구경의 길이를 늘리며 영상영역을 확장한 Arc-SAR의 설계안을 제시한다. 하드웨어 측면에서 살펴보면, 밴형 차량의 상부에 원형레일을 설치하고 마이크로파 송, 수신 안테나를 탑재한 후 레일 위를 1mm 이내의 정밀도로 이동시키며, 자료를 획득하게 된다. 이때 안테나에 연결된 동축 케이블은 차량 내부의 송, 수신장치에 연결되는데 RF대역에서 완벽히 작동하는 슬립링이 없기 때문에 내부 송, 수신 장치를 턴 테이블위에 장착하여 외부 안테나의 이동과 동일한 각도로 회전하여, 동축 케이블의 꼬임을 방지하게 된다. 송, 수신 장치의 구성은 벡터 네트워크 분석기를 기반으로 마이크로파 앰프, 마이크로파 스위치로 구성되며, 통합 제어 소프트웨어를 통해 외부 안테나의 이동과 함께 제어된다. 한편, Arc-SAR 영상의 구현은 원형레일을 따라 얻어지는 합성구경의 기하학적인 특수성을 감안하여 최초로 시도될 것이다. 이 시스템은 RTK-GPS를 장착하여 지반변형 모니터링 시 차량 이동 오차를 최소화 하고자 하며, 이외에 고정형 산란체를 이용하여 차량 이동 오차를 보정하고자 한다. 또한 AWS (Automatic Weather System)을 장착하여 위상의 대기보정을 동시에 수행할 것이다. 이 시스템은 차량 탑재에 의한 기동성의 확보로 침수나 침하 등 긴급 재난 지역에 즉각적인 대응이 가능하며, 대형 구조물의 주기적인 변형 모니터링 등에 활용성이 클 것이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.10
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• pp.2439-2446
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• 2013

Recently, SNS (Social Network Service) such as Twitter and Facebook has grown dramatically because of smart phones. Since development of IT has created massive information, social big data extremely increased. Competition between corporations is getting more intense, so they need customer feedback in order to fulfill an effective management. Because social big data plays an important role for getting customer feedback, a lot of corporations are interested in analyzing and applying of social big data. Collecting and analyzing social big data is operated by Buzz monitoring system. This paper demonstrates the research of buzz monitoring system that analyzes big data, and presents examples of customer reputation using buzz monitoring. In the paper, after all, it would analyze the result from the customer reputation, and research the implication.

• Journal of the Korea Computer Industry Society
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• v.2 no.4
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• pp.455-470
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• 2001

This paper is focused on the traffic characterization for the efficient transmission of the VBR video source in the ATM network. For the traffic characterization, low traffic monitoring technique is applied and the dynamic VBR characterization method is suggested to satisfy the delay requirement. The dynamic VBR method uses the token bucket algorithm buffering though Cumulative Constraint Function. According to the Cumulative Constraint Function, the packet initially started transferring at the peak rate and the token bucket provided proper amount of buffer for traffic after a certain period of monitoring. It also reduced the network resource bandwidth through renewal of the cumulative frame and changed the rate from the previous frame information. It requires only small amount of monitoring and causes little overhead. In addition, it lowered the complexity of Deterministic Constraint Function to 0(n) and mapped the token rate and token depth to the token bucket. This study shows less network resource consumed than the previous method, comparing and analyzing the result of simulations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3241-3245
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• 2009

In this paper we propose mechanism for course scheduling of learner-oriented using weakness analysis algorithm. The proposed mechanism monitors learner's behaviors constantly evaluates them and calculates his accomplishment. From this accomplishment the schedules the suitable course for the learner. The learner achieves an active and complete learning from the repeated and suitable course.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.7A
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• pp.1182-1188
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• 2001

인터넷 환경 아래에서 멀티미디어 매체 및 컴퓨터 통신 기술의 발전은 사회전반의 변혁을 가속화하게 되었다. 교육에 있어서도 수동적인 자료 중심으로 상호작용하고 시간과 공간을 초월하는 새로운 구조에 대한 연구가 활발히 진행되어 왔다. 새로운 교수-학습 활동의 형태로 웹을 기반으로 한 교육(WBI : Web-Based Instruction)이라는 모형이 제시되고 있다. 또한, 학습자의 필요에 응하는 코스웨어의 제공이 요구되고 있으며 이에 따라 웹 기반 교육 시스템에 효율적이고 자동화된 교육 에이전트의 필요성이 인식되고 있다. 그러나 현재 연구되고 있는 많은 교육 시스템들은 학습자가 원하는 코스를 적절히 제공하지 못하고, 계속적인 피드백과 부족한 부분을 적절히 반복 학습할 수 있도록 인도하지 못하고 있다. 본 논문에서는 학습자의 성취도 생성 알고리즘을 이용한 코스 스케줄링 멀티 에이전트 시스템을 설계하고 구현함으로써 보다 효율적인 학습을 유도한다. 제안한 시스템은 학습자의 학습활동을 지속적으로 모니터링하고 평가하여 개인 학습자의 학습 성취도를 계산하며, 이 성취도를 에이전트의 스케줄에 적용하여 학습자에게 적합한 코스를 제공하고, 학습자는 이러한 코스에 따라 능력에 맞는 반복된 학습을 통하여 적극적인 완전학습을 수행하게 된다.

• Journal of Korea Foundry Society
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• v.43 no.6
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• pp.325-329
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• 2023

높은 주조 품질을 요구받고 있는 대부분의 다이캐스팅업체들은 양산공정을 통해 사용되고있는 용탕의 청정도를 평가하고 모니터링을 해야만 한다. 여러 가지 평가방법들을 사용할 수 있지만 현장에서는 일부 측정방법만이 다이캐스팅에 적용되고 있으며 목적에 맞게 적절하게 사용하여야 한다. 세 가지 가능한 평가 방법인 K-Mold, 기계적물성 평가 및 PoDFA(다공성 디스크 여과 장치) 를 대상으로 소개하고자 한다. 우선, 각 방법들은 서로 사용 목적 목적에 따라 선택될 수 있으며 K-Mold는 현장에서 빠르고 간단하게 적용할 수 있는 방법으로 일정한 규격화된 시편의 파면을 만들고 파단면 관찰을 통해 일정한 크기 이상의 산화물 갯수를 확인하여 용탕의 품질을 관리하는 편리한 평가방법 중 하나다. 기계적 물성 테스트는 용탕 청결도에 대한 정성적, 정량적 정보를 모두 확인할 수 있으며 샘플링 테스트에 적합한 시험법이라 할 수 있다. 또한, PoDFA는 용탕내에 개재물의 종류별 정밀분석과 양에 대한 상대적 비교 분석으로써 현장의 많은 경험을 통하여 데이터 축적하고 분석하는 방법으로 사용방법에 대한 전문교육이 필요하다.

• International Journal of Highway Engineering
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• v.8 no.1 s.27
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• pp.99-106
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• 2006

During the dry periods, many types of pollutant are accumulating on the paved surface by vehicle activities. Particularly, the highways are stormwater intensive landuses because of high imperviousness and high pollutant mass emissions from vehicles. The accumulated pollutants in highways are washed-off during a rainfall event and are highly contributing on water quality of receiving water bodies. The stormwater runoff from the highways are containing various pollutants such as metals, oil & grease and toxic chemicals originated from vehicles. Therefore, this research is performed to find pollutant characteristics in the magnitude of statistical pollutant concentrations during storm periods. During the monitoring periods, the first-flush phenomenon is visibly occurred on most storm events, which is confirmed from hydro- and pollute-graphs. The 95% confidence intervals of washed-off pollutant concentration are ranged to 154.7-257.1 mg/L for 755,138.9-197.6 mg/L for COD, 3.5-6.4 mg/L for oil & grease, 6.3-9.2 mg/L for TN and 2.3-3.31 mg/L for TP. The first flush effect is mostly occurred within initial 30 min of storm duration.

• Spatial Information Research
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• v.18 no.1
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• pp.19-26
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• 2010

It is important to manage the underground facilities efficiently because they are directly related to the convenience and safety of citizens. But the fact that the different agencies take on a role of managing the underground facilities respectively makes it impossible. So Korean government has exerted great efforts to solve this problem through several projects. Korean government expects that the ubiquitous technologies such as sensor and wireless communication in the domain of the underground facilities management will be useful. It is main duty of u-City Management Center to monitor several situations about the underground facilities using ubiquitous technologies. But there is no consensus about what concrete situations it has to monitor even though u-cities under construction. Because local governments or related companies are in charge of carrying out these roles yet, there is no legal basis on which to do these tasks by the center. And it is needed to develop new technologies for u-services efficiently. Because technologies for u-service are vast, various and converged, so it necessary to develop them according to priority or in cooperation with other developers. In this paper, we classify the monitoring items for each facility which were investigated by a recent research. It is expected to make use of defining the role of the center and developing technologies with u-service.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.53 no.4
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• pp.388-393
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• 2008

Earth observation satellite imagery having medium-resolution can provide the useful information very rapidly and cheaply. The objective of this study was to assess the feasibility for monitoring rice growth and yield using medium resolution satellite imagery at Seosan AB reclaimed area, Chung-nam province. Using the LANDSAT imagery at booting stage ($29^{th}$ July 2004), $NDVI_R$ had the most significant linear relationships with rice yield of Seosan AB reclaimed area with the correlation coefficient (r) as 0.68. Therefore, this relationship was established as rice yield equation as function of $NDVI_R$, where excluding the 10 small area having low number of pixel, the determination coefficient ($R^2$) of the linear regression between NDVIred and milled rice yield was improved to 0.66. In addition, raster masking method, which was easier and faster even if a little unaccurate than preexisting method, was established for extracting information paddy field zone. Adaptability of rice yield equation function of $NDVI_R$ on year and region was investigated using rice yield and $NDVI_R$ values, which were extracted with raster masking method, from 7 counties or cities, Kyeong-ki province in 2005. Relationship between observed and calculated rice yield showed 1:1 line indicating that the adaptability was admitted.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.16-23
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• 2019

Fine particulate matter known as PM 2.5 refers to the atmospheric particulate matter that has a diameter less than 2.5 micrometer identified as dangerous element for human health and its concentration can provide us a clear picture about air dust concentration. Humans stay indoor almost 90% of their life time and also there is no official indoor dust concentration data, so our study is focused on measuring the indoor air quality. Indoor dust data monitoring is very important in hospital environments beside that other places can also be considered for monitoring like classrooms, cements factories, computer server rooms, petrochemical storage etc. In this paper, visible light communication system is proposed by Manchester encoding technique for electromagnetic interference (EMI)-free indoor dust monitoring. Important indoor environment information like dust concentration is transferred by visible light channel in wide range. An average voltage-tracking technique is utilized for robust light detection to eliminate ambient light and low-frequency noise. The incoming light is recognized by a photo diode and are simultaneously processed by a receiver micro-controller. We can monitor indoor air quality in real-time and can take necessary action according to the result.