• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1169-1172
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• 2002

This paper presents the development of an expert system for monitoring and control of an oil production facility. The objectives of developing an expert system for the oil production facility are to monitor the Important processing parameters in different sections of the facilities and to control battery operations in real time. By providing consistent, fast, and reliable decision support to operators, the expert system can be used for automated monitoring and control of a petroleum production facility located south of Regina in Saskatchewan, Canada. The system was implemented in Visual Basic 6.0.

• Corrosion Science and Technology
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• 제2권1호
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• pp.47-52
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• 2003

23 cap beams on the 1 Km length jetty bridge in Shin-da power plant (Taipower co., Taiwan) utilize far-end telecontrol cathodic protection technology which is the first case ever used in Taiwan. The system comprises cathodic protection system and te1econtrol monitoring system. The control and monitoring such as protection current adjustment, protection potential and depolarization measurement of the 23 cap beams can be adjusted through system telecontrol operations. Thereby allows monitoring and control of the 23 anode zones in a convenient and cost effective way. This system is at present still in its best running condition since Sept. 1997 when it was completed. All the 23 cap beams can achieve the 100 mV depolarization potential criteria of protection. It meet the specifications of reinforced concrete cathodic protection standard and proved to be very excellent.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.28-33
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• 2000

The monitoring of the chatter vibration is necessarily required to do automatic manufacturing system. To this study, we constructed a sensing system using tool dynamometer in order to the chatter vibration on cutting process. And a approach to a neural network using the feature of principal cutting force signals is proposed. with the error back propagation training process, the neural network memorized and classified the feature of principal cutting force signals. As a result, it is shown by neural network that the chatter vibration can be monitored effectively.

• Ocean and Polar Research
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• 제25권4호
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• pp.645-652
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• 2003

The coastal environment of King George Island is potentially subject to contamination by pollutants arising from station operations, such as emissions from fossil fuel burning, oil spills, waste disposal, etc. As a preparatory step to assess such impacts on the marine environment and living organisms of this island, two molluscan species (the bivalve Laternula elliptica and the gastropod Nacella concinna) were selected as biomonitors for metal pollution monitoring, and their baseline levels have been investigated for the past several years at King Sejong Station. In this review, variability of the baseline levels is discussed in relation to body size, tissue type, and sex. Natural elevations of some metals are also discussed with respect to the environmental characteristics of this region.

• 산업공학
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• 제23권4호
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• pp.365-371
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• 2010

In this study, we propose a novel remote health monitoring system to accurately predict Parkinson's disease severity using a signomial regression method. In order to characterize the Parkinson's disease severity, sixteen biomedical voice measurements associated with symptoms of the Parkinson's disease, are used to develop the telemonitoring model for early detection of the Parkinson's disease. The proposed approach could be utilized for not only prediction purposes, but also interpretation purposes in practice, providing an explicit description of the resulting function in the original input space. Compared to the accuracy performance with the existing methods, the proposed algorithm produces less error rate for predicting Parkinson's disease severity.

• 한국컴퓨터정보학회논문지
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• 제22권11호
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• pp.1-7
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• 2017

In this paper, we introduce three monitoring filtering techniques which reduce the overheads of dynamic data race detection. It is well known that detecting data races dynamically in multi-threaded programs is quite hard and troublesome task, because the dynamic detection techniques need to monitor all execution of a multi-threaded program and to analyse every conflicting memory and thread operations in the program. Thus, the main drawback of the dynamic analysis for detecting data races is the heavy additional time and space overheads for running the program. For the practicality, we also empirically compare the efficiency of three monitoring filtering techniques. The results using OpenMP benchmarks show that the filtering techniques are practical for dynamic data race detection, since they reduce the average runtime overhead to under 10% of that of the pure detection.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 추계학술대회 논문집 전기물성,응용부문
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• pp.223-226
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• 2004

Many extensive researches in the area of sensor's technology for corrosion monitoring in concrete structures have increasingly been carried out in recent years. This paper gives a brief discussion on the principles and usage of the role of sensors involved in both corrosion initiation and propagation steps of reinforcement corrosion monitoring in concrete structures. Special attention was given to the review of various sensing devices, selection of reliable sensing devices for detecting reinforcement corrosion at the particular environment and at the efficiency of the devices used. Various sensing operations in new and existing concrete structures are also described.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.73-78
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• 2008

There has been need for safety monitoring systems for the social infrastructures. These infrastructures are subject to degradation over time, reduced functionality, and loss of functionality as a result of factors such as a wide variety of installation environments, natural disasters, and nearby work. Therefore, it is necessary to perform appropriate inspections, repairs, and renovations to ensure safe and efficient maintenance and operation. This paper introduces the example of the development of the safety monitoring system for operating railway tunnel. Tunnel profile measuring system using laser beam, crack gauges, accelerometer and a pluviometer were implemented to monitor the safety of a deteriorated tunnel. The measured data were transferred through wireless network and analyzed in real time. The safety criteria for tunnel stabilities and train operations are also discussed.

• 한국항공운항학회지
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• 제17권2호
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• pp.62-67
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• 2009

LOSA is a flight safety program that analyses human errors in normal operations. Trained pilot observers monitor the normal flights at the observer seat. LOSA is a proactive non jeopardy data collection tool using threat and error management(TEM) as a framework. With the analysis of crew behaviors through LOSA with The LOSA collaborative(TLC), the airlines can identify the behaviors of the crew during normal operations. The major objective of LOSA is to measure how the crew manage threats, errors and undesired aircraft deviations in the cockpit on day to day operations. The airlines are able to set up effective TEM training with practical six generation Crew recourse management(CRM) with data of error from LOSA instead of theoretical CRM courses. The Airlines can use TEM as an integral part of a Safety Management System(SMS) and uses monitoring and cross-checking skills in the flight operations to manage threats and errors effectively when we know the errors we make in the cockpit on daily operation. The result of LOSA indicates that the error detection rate should be enhanced since around the half of the errors went undetected. The areas which should be focused for enhancing the error detection are monitor, cross-check, the management of workload, automation and taxiway/ runway to manage errors effectively.

• 정보처리학회논문지C
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• 제18C권3호
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• pp.157-166
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• 2011

가상화 계층은 커널 보다 높은 권한 계층에서 수행되어 운영체제가 사용하고 있는 자원 정보를 모니터링 하는데 적합하다. 하지만 기존 가상화 기반 모니터링 시스템은 CPU나 메모리 사용률과 같은 기초적인 정보만을 제공하고 있다. 본 논문에서 메모리, 레지스터 GDT, IDT 그리고 시스템 콜과 같은 동적인 시스템 커널 객체를 모니터링하기 위하여 전가상화 방식의 모니터링 시스템을 제안한다. 모니터링 시스템을 검증하기 위해 커널의 수정 없이 바로 리눅스 커널에 적용된 전가상화 방식의 KVM을 기반으로 시스템을 구현하였다. 구현된 시스템은 KVM 내부 객체에 접근하기 위한 KvmAccess 모듈, 그리고 가상머신 모니터링 결과를 외부 모듈에서도 사용할 수 있도록 API를 제공하였다. 구현된 모니터링 시스템의 성능을 측정한 결과 1초 주기로 시스템을 모니터링을 하더라도 0.37% 정도의 CPU 점유율을 차지하여 그 성능 부하가 아주 작았다.