• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2002년도 생물공학의 동향 (X)
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• pp.136-138
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• 2002

In this work we describe the on-line monitoring technique for the analysis of fumaric acid in biotechnological processes. Fumarase and malate dehydrogenase(MDH) were immobilized on epoxy carrier and integrated into a FIA system. The effects of carrier buffer flow rate, pH, reaction temperature on the immobilized fumarase/MDH were investigated for the development of a fumarate-FIA system. Furthermore the effects of substrates, salts and metabolites dissolved in the sample on the activity of the immobilized enzyme were investigated.

• 한국항해학회지
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• 제22권2호
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• pp.81-87
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• 1998

On this paper, the methods of optimization research of the fishing navigation using the graph theory are substantiated on the basis of the proposed probable model of the fishing vessel navigator's activity. The graph theory is concered about the transitionform the top graph to the rib one. And the definition of the additional system elements (quasi elements) necessary to provide the effectiveness during the fishing navigation are also substantiated herein. This approach helps to optimize the structure of any fishing vessel monitoring system.

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.169.1-169.1
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• 2003

Recently development of cell-based assay systems which are useful in molecular cell biology and drug discovery attracts significant attention. Here, we introduce a new technologies for monitoring enzyme activity and its inhibition inside living cells. Among various enzymes, proteases are important targets for studying various biological and disease-related processes such as viral infections, apoptosis and Alzheimer's disease. In this study, a sensitive cell-based protease detection system that enables direct fluorescence detection of a target protease and its inhibition inside living cells is introduced. (omitted)

• 한국정보통신학회논문지
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• 제13권11호
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• pp.2427-2432
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• 2009

본 논문에서는 노약자의 관찰을 위하여 움직임 센서를 이용하여 움직인 정보를 이용하는 방식을 제안한다. 사람이 물체를 움직일 때에 물체에 부착된 3축 가속도 센서를 이용해 움직임 데이터를 전달받고 전달받은 움직인 데이터를 SVM을 이용하여 물체의 움직임을 추정한다. 제안한 시스템의 유용성을 확인하기 위하여 실험에 이용한 데이터들을 데이터베이스화 하여 신경회로망의 학습에 사용하였고, 일상적으로 걸어갈 때, 빠르게 뛰어갈 때, 넘어질 때의 3가기 경우의 움직임을 제대로 검출해 내는가에 대한 실험을 하였다. 실험 경과 80% 이상의 검출 성공률을 볼 수 있었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.565-568
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• 2009

본 논문에서는 노약자의 관찰을 위하여 움직임 센서를 이용하여 움직인 정보를 이용하는 방식을 제안한다. 사람이 물체를 움직일 때에 물체에 부착된 3축 가속도 센서를 이용해 움직임 데이터를 전달받고 전달받은 움직인 데이터를 SVM을 이용하여 물체의 움직임을 추정한다. 제안한 시스템의 유용성을 확인하기 위하여 실험에 이용한 데이터들을 데이터베이스화 하여 신경회로망의 학습에 사용하였고, 일상적으로 걸어갈 때, 빠르게 뛰어갈 때, 넘어질 때의 3가기 경우의 움직임을 제대로 검출해 내는가에 대한 실험을 하였다. 실험 경과 80% 이상의 검출 성공률을 볼 수 있었다.

• 대한원격탐사학회지
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• 제38권1호
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• pp.73-82
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• 2022

Marine fisheries resources face major anthropogenic threat from unregulated fishing activities; thus require precise detection for protection through marine surveillance. Korea developed an efficient land-based small fishing vessel monitoring system using real-time V-Pass data. However, those data directly do not provide information on fishing activities, thus further efforts are necessary to differentiate their activity status. In Korea, especially in Busan, longlining is practiced by many small fishing vessels to catch several types of fishes that need to be identified for proper monitoring. Therefore, in this study we have improved the existing fishing status classification method by applying Hidden Markov Model (HMM) on V-Pass data in order to further classify their fishing status into three groups, viz. non-fishing, longlining and other types of fishing. Data from 206 fishing vessels at Busan on 05 February, 2021 were used for this purpose. Two tiered HMM was applied that first differentiates non-fishing status from the fishing status, and finally classifies that fishing status into longlining and other types of fishing. Data from 193 and 13 ships were used as training and test datasets, respectively. Using this model 90.45% accuracy in classifying into fishing and non-fishing status and 88.23% overall accuracy in classifying all into three types of fishing statuses were achieved. Thus, this method is recommended for monitoring the activities of small fishing vessels equipped with V-Pass, especially for detecting longlining.

• 조명전기설비학회논문지
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• 제21권5호
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• pp.75-81
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• 2007

본 논문에서는 전기안전에 대한 부가서비스 같은 저전압 전기설비의 온라인 감시시스템 구축을 위한 국내외 실태조사를 수행하였다. 일본은 미래 정보화 사회를 위해 IT 기본법에 근거한 온라인 전기설비 감시시스템 서비스를 실시하고 있으며, 전기안전뿐만 아니라 지진이나 방범등의 부가서비스를 실시하고 있었다. 미국 및 유럽에서는 전력선 통신을 사용하여, 온라인 감시 및 빌딩군 관리 서비스를 실시하고 있었다. 국내에서도 전기안전과 관련하여 디지털 수배전반 등을 통해 누설전류 측정, 부하관리 등에 대한 서비스를 일부 기업에서 서비스를 실시하고 있었다. 실태조사를 통해, 국내에서도 시장 활성화를 위한 법, 제도적 개선이 필요할 것으로 판단된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.654-670
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• 2020

Workers at construction sites are easily exposed to many dangers and accidents involving falls, tripping, and missteps on stairs. However, researches on construction site monitoring system to prevent work-related injuries are still insufficient. The purpose of this study was to develop a wearable textile pressure insole sensor and examine its effectiveness in managing the real-time safety of construction workers. The sensor was designed based on the principles of parallel capacitance measurement using conductive textile and the monitoring system was developed by C# language. Three separate experiments were carried out for performance evaluation of the proposed sensor: (1) varying the distance between two capacitance plates to examine changes in capacitance charges, (2) repeatedly applying 1 N of pressure for 5,000 times to evaluate consistency, and (3) gradually increasing force by 1 N (from 1 N to 46 N) to test the linearity of the sensor value. Five subjects participated in our pilot test, which examined whether ascending and descending the stairs can be distinguished by our sensor and by weka assessment tool using k-NN algorithm. The 10-fold cross-validation method was used for analysis and the results of accuracy in identifying stair ascending and descending were 87.2% and 90.9%, respectively. By applying our sensor, the type of activity, weight-shifting patterns for balance control, and plantar pressure distribution for postural changes of the construction workers can be detected. The results of this study can be the basis for future sensor-based monitoring device development studies and fall prediction researches for construction workers.

• 한국정보통신학회논문지
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• 제16권7호
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• pp.1533-1540
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• 2012

u-라이프 케어 단말기는 생체 정보를 수집하고, 운동을 패턴 별로 분류, 저장하고 일정 시간마다 안드로이드 폰에 블루투스 무선통신을 통해 전송한다. 전송된 정보는 안드로이드 폰 어플리케이션을 통해 확인할 수 있다. u-라이프 케어 단말기는 3축 가속도 센서를 이용하여 활동량을 모니터링한 후 소모한 칼로리를 계산한다. 생체 데이터 마이닝을 통해 건강상태를 판단하고 적절한 맞춤형 운동치료를 컨설팅하게 된다. 생체 정보를 전송할 때 블루투스 무선통신을 통해 안드로이드 폰에 바로 전송하기 때문에 기존의 라이프케어 제품들에서 센싱된 정보를 웹서버에 전송하기 위해 사용되어지는 모바일 게이트웨이나 홈 게이트웨이가 별도로 필요치 않다는 장점을 가지고 있다.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.295-304
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• 2021

Learning assistance system that continuously measures user's concentration will be helpful to grasp the concentration pattern and adjust the learning method accordingly to improve the learning efficiency. Although a lot of various learning aids have been proposed, there have been few studies on the concentration monitoring system in real time. Therefore, in this study, we developed an Android-based mobile application that can measure concentration during study by using functional near-infrared spectroscopy, which is used to measure brain activity. First, the task accuracy was predicted at a maximum level of 93.75% from the prefrontal oxygenation characteristics measured while performing the visual Q&A task on 11 college students, and a concentration calculation formula based on a linear regression model was derived. Then, a survey on the usability of the mobile application was conducted, overall high satisfaction and positive opinions were obtained. From these findings, this application can be used as a customized learning aid application for users, and further, it can help educators improve the quality of classes based on the level of concentration of learners.