• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 추계학술대회 논문집
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• pp.7-10
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• 2002

The diagnosis of faults of machine tool, which is controlled by CNC and PLC, is generally based on ladder diagram of PLC. Because sequential controls for CNC and servo motor are mostly processed in PLC. However, when fault is occurred, a searching for logical relation to fault reasons is required a lot of fault experiences and times, because PLC program has step structure. In this paper, FDS(Fault Diagnosis System) is developed and implemented to machine tool with open architecture controller in order to find the reason of fault lastly and correctly. The diagnosed reasons for fault are tele-serviced on web through developed RSS(Remote Service System). The operationability and usefulness of developed system are evaluated on specially manufactured machine tool with open architecture CNC. The results of this research can be the model of remote monitoring and fault diagnosis system of machine tool with open architecture CNC.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2007년도 한국컴퓨터종합학술대회논문집 Vol.34 No.1 (B)
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• pp.422-426
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• 2007

오늘날에 있어서는 e-Science는 점차 현실 생활에 침투되고 있는 추세를 보이며 많은 기기들의 발전과 더불어 온라인 원격 제어, 무선통신 등이 보다 쉽게, 많은 영역에서 지원되고 있다. 과학영역에서의 원격 실험은 세계적인 이슈로 부상되면서 여기에 관련된 각종의 구상과 기술들이 차츰 구축되어 나가고 있는 현실이다. 본 논문은 이런 시각에서 출발하여 원격 실험의 중요한 부분인 다중상대 원격 모니터링 시스템의 구현에 포커스를 두고 있다. TMO 기반의 실시간 다중상대 원격 모니터링 시스템은 지역적으로 떨어져있는 여러 개의 관찰 대상을 실시간 미들웨어를 사용하여 보다 정확하게, 다각도, 고화질로 보여주는데 목표를 두고 있으며 보안적인 차원에서 환경과 접목을 할 예정이다. 본 논문에서는 로컬에 있는 카메라와 네트워크로 연결되어 있는 데이터 수집자(Data Collector)의 구현을 바탕으로 기술 되어 있다. 데이터 수집자는 카메라/센서에서 발생되는 RAW 데이터를 직접 받아서 동기화 해주고 실시간으로 보여주는 기능을 하며 특정된 파일 포맷으로 데이터를 저장해주는 역할을 한다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (A)
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• pp.181-184
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• 2006

최근 온라인 원격실험이 하나의 이슈로 되면서 지역적으로 분산된 실험 장비, 데이터베이스, 작업현장 등을 접근 하는 다양한 방식이 제안되고 있다. 다양한 모니터링 시스템이 존재하고 또한 개발 되고 있는 현황에서 본 논문은 분산 시스템 환경과 실시간 시스템을 어떻게 접목을 시키고, 여기에 Grid환경에서 제공하는 인증체계를 도입하는 모델을 구상하고 있으며, 실질적인 사용가치를 갖는 멀티 타겟 실시간 원격 모니터링 시스템을 제안한다. 실시간 시스템은 보다 정밀한 시간을 제공함으로서 실시간 적인 모니터링과 차후 저장된 데이터에 의한 세밀한 리뷰가 가능하게 한다. 본 시스템은 실시간 미들웨어(TMO)에서 제공하는 시간적 정확성 및 실시간과 Grid인증의 접목에 착안점을 두고 있으며 환경분야 실험모니터링 시스템이라는 현실적 모델의 구현을 통하여 본 시스템을 검증한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.260-263
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• 2003

This paper has developed the computer integration manufacturing system and Internet based tele-operations. The functions of CIMS include production planing, material requirement planning, work order generation, process control, quality control, shipping planning, warehouse and inventory management and material cost accounting.[1] In this paper focuses on the automatic warehouse control and inventory management by developing the information system as well as the Internet-based integration. The system overview is divided into three parts, the mechanical system, the computer and developed software to control and manage the information and the communication system. The mechanical system consists of the warehouse machine and forklift mobile robot controlled by programmable logic controller (PLC). The computer works on many functions such as control station interfaces with PLC, managing database and inventory, and Internet server to broadcast the inventory database to users via World Wide Web and monitoring the operation on web camera. Our scheme the inventory database can be checked easily anywhere and anytime when the users connect to the Internet. In this article, the lead-time and inventory level can be reduced therefore the holding cost and operating time is also decreased.

• Journal of Computing Science and Engineering
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• 제5권3호
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• pp.269-281
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• 2011

STEPSTONE is a joint industry-university project to create open source technology that would enable the scalable, "friction-free" integration of device-based healthcare solutions into enterprise systems using a Service Oriented Architecture (SOA). Specifically, STEPSTONE defines a first proposal to a Service Oriented Device Architecture (SODA) framework, and provides for initial reference implementations. STEPSTONE also intends to encourage a broad community effort to further develop the framework and its implementations. In this paper, we present SODA, along with two implementation proposals of SODA's device integration. We demonstrate the ease by which SODA was used to develop an end-to-end personal healthcare monitoring system. We also demonstrate the ease by which the STEPSTONE system was extended by other participants - Washington State University - to include additional devices and end user interfaces. We show clearly how SODA and therefore SODA devices make integration almost automatic, replicable, and scalable. This allows telehealth system developers to focus their energy and attention on the system functionality and other important issues, such as usability, privacy, persuasion and outcome assessment studies.

• 한국의류학회지
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• 제18권4호
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• pp.536-548
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• 1994

The puprpose of this study were to investigate the conceptual framework of situational variables on clothing types, to find out the relationship between situational variables and personality characteristics, and to determine the effects of situational variables on clothing purchase types. A Questionnaire was developed based on the previous studies. Data was collected from 530 women living Pusan and analyzed by the factor analysis, person correlation, and discriminant analysis. The results of this study were as following; Communication situations and purchasing situations were found out to be different on clothing purchase types. In planning purchase, consumers were affected by printed and tele-communication information search and were affected by interpersonal information search in unplanning purchase. In impulseing purchase, consumers were affected by store information search. It was found out that consumers with high rational clothing involvements were affected by only the purchasing situations when they would buy clothing, but consumers with high emotional clothing involvements were affected by the communication situations as well as the purchase situations. Consumers with high self monitoring traits were not affected by the communication situations and mostly the purchasing situations. Results showed that the purchasing situation was the most significant variables in clothing purchase behavior, communication situating or purchasing situations were differently influenced on clothing purchase types.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권9호
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• pp.2302-2322
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• 2012

Wireless Body Area Networks (WBANs) are introduced as an enabling technology in tele-health for patient monitoring. Designing an efficient Medium Access Control (MAC) protocol is the main challenge in WBANs because of their various applications and strict requirements such as low level of energy consumption, low transmission delay, the wide range of data rates and prioritizing emergency data. In this paper, we propose a new MAC protocol to provide different requirements of WBANs targeted for medical applications. The proposed MAC provides an efficient emergency response mechanism by considering the correlation between medical signals. It also reduces the power consumption of nodes by minimizing contention access, reducing the probability of the collision and using an efficient synchronization algorithm. In addition, the proposed MAC protocol increases the data rate of the nodes by allocating the resources according to the condition of the network. Analytical and simulation results show that the proposed MAC protocol outperforms IEEE 802.15.4 MAC protocol in terms of power consumption level as well as the average response delay. Also, the comparison results of the proposed MAC with IEEE 802.15.6 MAC protocol show a tradeoff between average response delay and medical data rate.

• 센서학회지
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• 제19권4호
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• pp.297-305
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• 2010

A home healthcare system based wireless sensor network, which can continuously monitor and manage the elderly's electrocardiogram(ECG) signal at any space at home without space limit is proposed. The communication coverage of wireless network is expended by multi-hop wireless sensor network. In order to send the elderly's ECG data wirelessly, a small size ECG sensor node was designed to forward the ECG data over multi-hop relay network. The packet acquired by mobile ECG node is transmitted through wireless intermediate nodes to base station for analyzing the packet reception rate. Modified minimum cost forwarding(MMCF) protocol and flooding protocol are designed and implemented to check the transmission efficiency of a packet in a wireless sensor network. The developed MMCF protocol shows an advantage of high reception rate by reduced network traffic.

• 한국정밀공학회지
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• 제18권1호
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• pp.123-128
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• 2001

The function of SCR system in refuse incineration plant is to reduce the harmful combustion gases especially NOx which make serious environmental pollution. The SCR system normally have a NOx measurement system such as inlet NOx analyzer and outlet T.M.S.(Tele Monitoring System) to control the outlet NOx in stack. The NOx measurement system is very important, however there are frequently happened sensing problems and it need maintenance periodically. In this paper, we propose an estimation method of inlet NOx of SCR system by using general structured observer. The inlet NOx is considered as an input disturbance and it is modelled by applying FFT method in frequency domains. Through the design of general structured observer, the outlet NOx can be estimated by using observation error between real outlet NOx and estimated outlet NOx. The effectiveness of the proposed method is shown by comparing to a measured inlet NOx data.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.219-219
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• 2020

하천의 수질을 나타내는 환경지표 중 국가 TMS(Tele Monitoring system)의 수질측정망을 통해 관리되고 있는 지표로는 DO, BOD, COD, SS, TN, TP 등 여러 인자들이 있다. 이러한 수질인자는 하천의 자정작용에 있어 많은 영향을 나타내고 있다. 이를 활용한 경제적이고 합리적인 수질관리를 위해 하천의 자정작용을 활용하는 것이 중요하다. 생물학적 작용을 가장 효과적으로 활용하기 위해서는 수질오염 데이터에 기초한 수질예측을 채택하여 적절한 대책이 필요하다. 이를 위해서는 수질인자의 데이터를 측정하고 축적해 수질오염을 예측하는 것이 필수적인데, 실제적으로 수질인자의 일일 측정은 비용 관점에서 쉽게 접근할 수 없다. 본 연구에서는 시계열 학습으로 알려진 RNN-LSTM(Recurrent Neural Network-Long Term Memory) 알고리즘을 활용하여 기존에 측정된 수질인자의 데이터를 통해 시간당 및 일일 수질인자를 예측하려고 했다. 연구에 앞서, 기존에 시간단위로 측정된 수질인자 데이터의 이상 유무를 확인 후, 에러값은 제거하고 12시간 이하 데이터가 누락되었을 때는 선형 보간하여 데이터를 사용하고, 1일 데이터도 10일 이하 데이터가 누락되었을 때 선형 보간하여 데이터를 활용하여 수질인자를 예측하였다. 수질인자를 예측하기 위해 구글이 개발한 딥러닝 오픈소스 라이브러리인 텐서플로우를 활용하였고, 연구지역으로는 대한민국 부산에 위치한 온천천의 유역을 선정하였다. 수질인자 데이터 수집은 부산광역시에서 운영하는 보건환경정보 공개시스템의 자료를 활용하였다. 모델의 연구를 위해 하천의 수질인자, 기상자료 데이터를 입력자료로 활용하였다. 분석에서는 입력자료와, 반복횟수, 시계열의 길이 등을 조절해 수질 요인을 예측했고, 모델의 정확도도 분석하였다.