• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.513-517
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• 2007

This study is to establish the appliance model for the automatic fire alarm system in clean room within the framework of the performance based design. Because of the environmental and dimensional characters of clean room, this space is exposed to fire and toxic damage, so it is very important to notify the occupants of these dangerous situations.

• Proceedings of the Korean Nuclear Society Conference
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• 1995.10a
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• pp.197-202
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• 1995

When the process disturbance of nuclear power plant occurred, the operator should ensure plant safety, economy and identify the causes of disturbance. To accomplish these goals, operator should process a large amounts of information. Among these, alarms would be often in the operator's first indication of a plant state change or disturbance. To support limited information processing capability of operator, considerable works are under way to develop advanced alarm processing systems and to evaluate it. However, conventional evaluation method could provide just evaluation results but the design alternatives to enhance alarm system performance. To overcome problems associated with conventional evaluation methods of alarm system, signal detection theory(SDT) was introduced, and it was possible conclude that SDT could not only evaluate system but also suggest design alternatives for performance enhancement.

• Fire Science and Engineering
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• v.33 no.4
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• pp.89-96
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• 2019

In this study, alarm sound generated as a priority alert system propagation through an elevator shaft in apartment buildings were simulated using room acoustic simulation software. The simulations were conducted on three kinds of elevator hall plan with a different number of elevators and placement. First, the elevator shaft without sound absorption material was simulated as a condition of the present. When the distance from the alarm sound generating floor became farther, alarm sound level was decreased. However, the alarm sound level three-floor distance was about 54 dB(A)~56 dB(A) which were louder than a background sound level of typical apartment buildings. Sound absorption material placement proposed by previous studies were simulated and the alarm sound levels were decreased about 12 dB~16 dB. These levels were similar or lower than the background level of apartment buildings. From these results, it can be concluded that placing sound absorption material on the surface of the elevator shaft wall can be one of the methods to control the alarm sound as regulated in NFSC.

• The Journal of Information Technology
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• v.5 no.2
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• pp.81-94
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• 2002

When a alarm is happened in nuclear power plant, operator tries to identify the direct and specific causes of the alarm and to do proper actions to mitigate the effect of it. To recognize the specific causes of it, the operator uses his experiences, alarm procedures, logic diagrams and so on. But, if the alarm procedure described many causes of the alarm unfortunately, it is very difficult for the operator who has no experience on the alarm to search the causes of it in hundreds of logic diagrams when emergency. In this study, a system is proposed, which tracks and displays the causes of alarms on-line from computerized logic diagrams.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.8
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• pp.1161-1167
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• 2015

Distribution Management System(DMS) ienhancing distribution automation system-based operation efficiency is an optimized system by various operational applications in a distribution network. DMS employs various applications like topology reconfiguration, volt/var control, and restoration at events such as overload, voltage violation, and a fault in a distribution system. An operation efficiency to employ multi-applications as restoration with short-term load forecasting is higher than a performance by a single application; and the applications are accomplished by an operator’s control. Applications’ combination is determined by various alarm information which means critical issues in order to operate a distribution system. Thus, this paper proposes an application management system which can configure application combination, control applications depending on alarm information and check their performance condition. The proposed application management system can be customized by operator easily and have high operation efficiency and reliability because it is worked by reviewed alarm information from operator.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.35-41
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• 2024

Due to increasingly busy lifestyles, sleep time is gradually being reduced, leading to a growing interest in effective sleep methods. Traditional alarms that only ring at a set time can disrupt efficient sleep and increase fatigue. To solve this problem, a smart alarm system utilizing Raspberry Pi has been proposed. The proposed alarm not only rings at a preset time, like conventional alarms, but also helps by using an infrared sensor attached to the Raspberry Pi to detect the user's sleep onset time and calculate the optimal sleep duration, setting the alarm accordingly. Additionally, it allows for easy naps during the day by setting a fixed nap time. This Smart Alarm system was implemented using MIT App Inventor. The proposed Smart Alarm system is expected to contribute to more efficient sleep.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.1085-1086
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• 2010

• Proceedings of the ESK Conference
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• 1997.10a
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• pp.303-309
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• 1997

This study is carried out to investigate performance differences between two alarm presentation methods from the viewpoint of human factors and to provide items to be improved. One of the alarm display methods considered in this study displays alarm lists on VDT combined with hardwired alarm panels. The other method displays alarms on plant mimic diagrams of VDT. This alarm display method has other features for operator aid with which operator can get detailed information on the activated alarm in the mimic diagrams, and the capability for alarm processing such as alarm reduction and prioritization. To compare the twodisplay methods, a human factor experiment was performed with a plant simulator in the ITF(Integrated Test Fcility) that plant operators run for 4 event scenarios. During the experiment, physiological measurements, system and operator action log, and audio/video recordings were collected. Operators' subjective opinion was collected as well after the experiment. Time, error rate and situation awareness were major human factor criteria used for the comparison during the analysis stage of the experiment. No statistical significance was found in the results of our statistical comparison analysis. Several findings were identified, however, through the analysis of subjective opinions.

• Journal of Radiation Protection and Research
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• v.22 no.4
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• pp.263-272
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• 1997

A Radiation Alarm Monitor has been developed and manufactured in order to protect radiation workers from over-exposure. A visual and audible alarm system has been attached to initiate evacuation when accident occurs such as an unexpected change of radiation level or an over-exposure. The Radiation Alarm Monitor installed with microprocessor can record the information of radiation field change between 90 min. before the alarm and 30 min. after the alarm and also provide the data to an IBM compatible computer to analyze the accidents and to set a counterplan. It features a wide detection range of radiation field(10 mR/h-100 R/h), radiation field data storage, portability, high precision (${\pm}5%$) due to self-calibration function, and adaption of a powerful alarm system. According to ANSI N42.17A, the most stringent test standards, performance tests were carried out under various conditions of temperature, humidity, vibration, and electromagnetic wave hindrance at Korea Research Institute of Standards & Science (KRISS). As a result, the Radiation Alarm Monitor passed all tests.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.9
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• pp.512-519
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• 2000

A Neural networks has been used for a expert system and fault diagnosis system. It is possible to nonlinear function mapping and parallel processing. Therefore It has been developing for a Diagnosis system of nuclear plower plant. In general Neural Networks is a static mapping but Dynamic Neural Network(DNN) is dynamic mapping.쪼두 a fault occur in system a state of system is changed with transient state. Because of a previous state signal is considered as a information DNN is better suited for diagnosis systems than static neural network. But a DNN has many weights so a real time implementation of diagnosis system is in need of a rapid network architecture. This paper presents a algorithm for RCP monitoring Alarm diagnosis system using Self Dynamic Neural Network(SDNN). SDNN has considerably fewer weights than a general DNN. Since there is no interlink among the hidden layer. The effectiveness of Alarm diagnosis system using the proposed algorithm is demonstrated by applying to RCP monitoring in Nuclear power plant.