• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1991년도 춘계학술대회
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• pp.18-21
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• 1991

In this paper, the effect of background grey levels on the visual perception of target image displayed on CRT monitor has been investigated. The purpose of this study is to investigate the efficacy of CRT monitor as a display medium of image information especially in medical imaging field. Three sets of experiments have been performed in this study; the first was to measure the luminance response of CRT monitor and to find the best fitting equation, and the second was the psychophysical experiment measuring the threshold grey level difference between the target image and the background required for visual discrimination for various background grey levels, and the third was to develop a visual model that is predictable of the threshold grey level difference measured in the psychophysical experiment. The result of psycophysical experiment shows that the visual perception performance is significantly degraded in the range of grey levels lower than 50, which is turned out due to the low luminance change of CRT monitor in this range while human eye has been adapted to relatively bright ambient illumination.

• 한국컴퓨터정보학회논문지
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• 제14권1호
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• pp.57-64
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• 2009

가상화는 최근 활발한 연구가 진행되고 있는 시스템 소프트웨어 분야 중 하나이다. 범용 컴퓨터 시스템을 위한 가상화 분야에는 이미 상용화제품들도 다수 존재하는 반면, 임베디드 시스템의 특성을 고려한 가상화에 대한 연구는 상대적으로 미미한 실정이다. 본 논문에서는 임베디드 시스템의 각 하드웨어 자원을 여러 논리적인 하드웨어 자원들로 나누고, 이를 다수의 가상 머신들로 재구성하는 가상 머신 모니터를 설계하고 구현하였다. 제안된 가상 머신모니터는 하나의 임베디드 시스템 상에 다수의 실시간 운영체제들을 동시 수행하는 것을 가능하게 한다. 실제의 임베디드 시스템 하드웨어 상에서 구현된 가상 머신 모니터에 대해 다양한 성능 측정 실험을 수행하였다. 성능 평가결과를 통해 제안된 가상 머신 모니터가 실제의 임베디드 시스템 응용 분야에 적용이 가능함을 보였다.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.1-8
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• 2017

In this paper, we propose a fault tolerance technique which enables embedded systems to run without interruption while its operating system and tasks fail. In order to improve reliability, the proposed scheme makes an embedded system run as a virtual machine on virtual machine monitor. It also prepares a contingency virtual machine at which periodical backups of the embedded system are saved. When an error occurs in the main virtual machine, the corresponding standby virtual machine takes a role of the main virtual machine and continues its operation. Especially such backups and switches of virtual machines are performed with minor performance degradation by manipulating page table entries in virtual machine monitor. By conducting performance evaluation studies, we show that the proposed scheme makes embedded system robust against errors while it does not degrade the performance of the system significantly.

• 경영과학
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• 제16권2호
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• pp.109-123
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• 1999

We have recognized that an organization should be viewed from a multifaceted perspective necessitating a sophisticated analytical and systematic approach to monitor and improve organizational performance. Although some performance measurement systems have been proposed and are currently being used in many organizations, no performance measurement system has presented a mechanism for integrating all of the information of performance measures in a way that considers relationships between them. This paper introduces the implementation of the performance information integration method(PIIM) which synthesizes all useful information of performance measures with consideration of the relationship and generates a single, global, organizational performance score. The PIIM was empirically validated by implementing in one of missouri Veterans Homes.

• 전기전자학회논문지
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• 제21권2호
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• pp.158-161
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• 2017

본 논문에서는 원자력 및 핵의학 분야용 Total RMS(Radiation Monitoring System)를 제안한다. 제안하는 시스템은 Stack Monitor, Area Monitor, Water(Liquid) Monitor 등을 하나의 시스템으로 확장 및 제어할 수 있는 장비로 각 방사선 검출기에서 측정된 신호를 통합 모니터링 할 수 있다. 제안하는 시스템은 해당 방사선을 검출하는 Sensor Module, 방사선 검출 위치에 인접한 곳에서 방사선량을 디스플레이 하는 Display Unit, 검출된 방사선량이 위험 수준에 도달시 경보를 알리는 Alarm Unit, 각 모니터링에서 측정된 방사선량들을 취합하고 저장하여 원격 감시 시스템에 내용을 전달하는 Main Hub, 원격지에서 측정된 방사선량 상태를 일목요연하게 디스플레이 하는 RMS Monitoring Unit 등으로 구성된다. 제안된 원자력 및 핵의학 분야용 Total RMS의 성능을 평가하기 위하여 공인시험기관에서 실험한 결과, 측정 불확도가 8.5%이하로 측정되어 국제 표준인 ${\pm}15%$ 이하에서 정상동작 됨이 확인되었다.

• 한국태양에너지학회 논문집
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• 제29권1호
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• pp.11-17
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• 2009

Daylighting is core of sustainable design in most buildings. Well-designed daylighting systems can significantly reduce or even eliminate the electric lighting loads during the day time, including air conditioning energy loads. Among window systems. the topside lights systems including monitor lighting, sawtooth lighting, sunscoop and, lightscoop is one of the most popular apparatus to improve the lighting quantity. Also they are important both in terms of energy savings and visual quality. The objective of this study is to analyse daylighting performance of topside lighting system for different orientations. Four types of topside lighting system were tested and comparpd: monitor lighting, sawtooth lighting, lightscoop and sunscoop. Totally 25 measuring points of illuminance on the horizontal plane were monitored from 09:00 to 17:00 on October 6, 2008. Agilent data logger and photometric sensors Li-cor were used. Comparisons with a light factor is discussed. The results found in this study would mean that there were no significant differences in light factor between three cases.

• ETRI Journal
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• 제46권4호
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• pp.671-682
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• 2024

Violence can be committed anywhere, even in crowded places. It is hence necessary to monitor human activities for public safety. Surveillance cameras can monitor surrounding activities but require human assistance to continuously monitor every incident. Automatic violence detection is needed for early warning and fast response. However, such automation is still challenging because of low video resolution and blind spots. This paper uses ResNet50v2 and the gated recurrent unit (GRU) algorithm to detect violence in the Movies, Hockey, and Crowd video datasets. Spatial features were extracted from each frame sequence of the video using a pretrained model from ResNet50V2, which was then classified using the optimal trained model on the GRU architecture. The experimental results were then compared with wavelet feature extraction methods and classification models, such as the convolutional neural network and long short-term memory. The results show that the proposed combination of ResNet50V2 and GRU is robust and delivers the best performance in terms of accuracy, recall, precision, and F1-score. The use of ResNet50V2 for feature extraction can improve model performance.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.472-474
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• 2005

In WDM/SCM-PON system more than thousand signals must be gathered to monitor for operation. We have implemented IEEE STD 1149.1 JTAG serial interface bus to gather and monitor analog signals. Required area is just $5{\times}5mm^2$. Gathering time per one signal is $1.75{\mu}$ second. Performance to gather is better than that defined in SFF-8472.

• 대한안전경영과학회지
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• 제6권4호
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• pp.195-213
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• 2004

This paper deals with an efficient and effective method on measuring, monitoring and evaluating safety and environmental performances of a process using SPC control charts. We propose 7 safety control charts as a tool to monitor hazard dendritics, and we propose 15 environment control charts to monitor pollution emissions. We also propose useful guidelines that SPC(Statistical Process Control) control charts can be used for safely and environmental monitoring.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.1118-1134
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• 2023

Previous research has shown that employees tend to react more positively to corrective feedback from supervisors to the extent they perceive that they were treated with empathy, respect, and concern towards fair interpersonal treatment in receiving the feedback information. Then, to facilitate effective supervisory feedback and coaching, it would be useful for organizations to monitor the contents of feedback exchanges between supervisors and employees to make sure that supervisors are providing performance feedback using languages that are more likely to be perceived as interpersonally fair. Computer-aided text analysis holds potential as a useful tool that organizations can use to efficiently monitor the quality of the feedback messages that supervisors provide to their employees. In the current study, we applied computer-aided text analysis (using closed-vocabulary text analysis) and machine learning to examine the validity of language-based algorithms trained on supervisor language in performance feedback situations for predicting human ratings of feedback interpersonal fairness. Results showed that language-based algorithms predicted feedback interpersonal fairness with reasonable level of accuracy. Our findings provide supportive evidence for the promise of using employee language data for managing (and improving) performance management in organizations.