• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.9
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• pp.506-512
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• 2003

In this paper, a communication module between Relay agents in a multi-agent system based power distribution network protection system is realized using DNP3.0(Distributed Network Protocol), which is the standard communication protocol of distribution automation system in KEPCO. The key words for agent communication in the multi-agent based protection system are defined and represented by use of DNP application function code. The communication module developed based on the proposed communication scheme is tested by use of the Communication Test Harness, a test tool for DNP protocol, then used to the multi-agent system based power distribution net work protection system.

• Journal of Korean Institute of Industrial Engineers
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• v.21 no.2
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• pp.183-194
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• 1995

This research paper describes several possible suggestions which are essential to develop for Built-In-Test(BIT) related systems, such as more precise BIT parameter analysis, sensitivity analysis of the impact of BIT on redundant systems, statistical inference of field data for BIT performance parameters, methods of reducing BIT false alarms, BIT application in industrial automation and remote control, prevent the system from the impact of BIT failure, undetections and false alarms, life cycle cost analysis for BIT. And, it is mainly focused on redundancy technique for solving BIT diagnostic problems. Algorithms for redundant systems : overlapping technique, flexible redundant BITs are presented and case study will be shown based on various experiment.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.604-606
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• 2001

소프트웨어의 본질인 변경 문제로 인해 상용 테스트 도구의 단순 적용만으로는 자동 테스트의 실질적인 효과를 기대하기 어려운 것이 현실이다. 이러한 문제를 해결하기 위해 변경에 영향 받지 않는 다양한 자도 테스트 기법이 시도되어 오고 있다. 그 중에서 가장 주목받는 것으로 키워드 기반 자동 테스트(Keyword Driven Automated Test)를 들 수 있으며 이 방법의 궁극적인 목적은 대상 소프트웨어의 변경에 따른 테스트 자원의 유지보수를 쉽게 하기 위한 것이라 할 수 있다. 테스트 자원의 구축, 실행 및 발생하는 변경으로 인한 유지보수까지의 전 과정에서 키워드 기반 자동 테스트가 보다 효율적이며 다른 프로젝트, 제품 테스트에서도 일부 함수 추가, 재정의만으로 재사용 가능한 장점을 가지고 있다. 키워드 기반 자동 테스트를 위해서는 기존의 테스트 도구를 사용하여 대상 소프트웨어에 맞게 테스트 도구가 제공하는 자체 프로그래밍 언어를 사용하여 개발해야 한다.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.695-700
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• 2021

The Faster RCNN-based shellfish recognition algorithm is introduced for shellfish recognition studies that currently do not have any deep learning-based algorithms in a practical setting. The original feature extraction module is replaced by DenseNet, which fuses multi-level feature data and optimises the NMS algorithm, network depth and merging method; overcoming the omission of shellfish overlap, multiple shellfish and insufficient light, effectively solving the problem of low shellfish classification accuracy. In the complexifier test environment, the test accuracy was improved by nearly 4%. Higher testing accuracy was achieved compared to the original testing algorithm. This provides favourable technical support for future applications of the improved Faster RCNN approach to seafood quality classification.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.953-955
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• 1993

In this paper we propose a new stability theorem and a robust stability condition for linguistic fuzzy model systems in state space. First we define a stability in linear sense. After representing the fuzzy model by a system with disturbances, A necessary and sufficient condition for the stability is derived. This condition is proved to be a sufficient condition of the fuzzy model. The Q in the Lyapunov equation is iteratively adjusted by an gradient-based algorithm to improve its stability test. Finally, stability robustness bounds of a system having modeling error is derived. An example is also included to show that the stability test is powerful.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.249-251
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• 2021

본 논문에서는 WEB대상으로 UI테스트를 최초 설계할 때, 웹로그를 분석하여 사용자들의 패턴을 파악하고 자동으로 테스트 시나리오와 케이스를 설계하여 제공하는 시스템을 제안한다. 이 시스템은 메세지큐를 활용하여 로그 데이터를 효율적으로 수집할 수 있고, 분석 시스템과 사용자들이 사용하는 웹서버를 분리하여 로그분석으로 인한 시스템 과부하 현상을 예방 할 수 있다. 또한 로그분석을 통해 추출된 데이터를 통해 사용자들이 실제로 자주 사용하거나 사용했던 사용 경로를 이용하여 자동으로 테스트 시나리오와 테스트 케이스에 대한 자료들을 접할 수 있어 테스트 분석, 설계 과정에서의 소요되는 시간이 감축되는 것을 기대할 수 있으며, 실제 사용자들이 자주 이용하는 패턴으로 테스트 대상을 정할 수 있기 때문에 후에 테스트를 통한 결함이 조치가 된다면 사용자들이 결함 경험을 줄일 수 있을 것이라 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.363-366
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• 2008

본 논문에서는 테스트 자동화 도구를 사용하여 디지털 TV의 시스템 테스트 수행 시 테스트 결과의 신뢰성을 향상시키기 위한 방안을 제시하고자 한다. 시스템 테스트 자동화 도구는 디지털 TV의 출력화면을 실시간으로 캡쳐 한 후, 정상 상태의 출력화면과 비교, 분석을 통해 테스트 수행 결과의 성공/실패 판정을 자동으로 수행한다. 본 논문에서는 테스트 도구의 수행 및 수행결과에 대한 판정의 신뢰성을 높이기 위한 방법으로 DTV 화면 출력시에 정지 화면으로 이루어진 동영상이 출력되도록 방송 신호인 비트 스트림을 제작하여, 디지털 TV에 입력하여 테스트하는 방안을 제시한다. 제시된 방안을 통해 기존 방식에서 검출해 내지 못하던 오류를 검출함으로써 테스트 자동화 도구의 수행 성능을 향상시키고, 테스트 결과에 대한 신뢰성을 높이는 방법을 제안한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.3
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• pp.104-113
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• 1998

In genral, the water process facilities include the purification plant, the waste water plant and the process of this purification plant is consisted of the intake, coagulation, settling, filtration, disinfection. The coagulation is very important in filtration processing plant and is very related to process of turbidity. The coagulation to the turbidity is, however, not yet to be clarified and the amount of coagulant can not be easily calculated. Moreover the coagulant dosing amount has to be decided adaptively according to the qualities of the raw water. So, the automation of chemicals dosing process and the supervisory system were needed to improve the performance of facilities. In this paper, a neural network is employed to model the coagulation to the turbidity of the treated water and the historical jar-test data are used to train the neural network. And also, an automation system to support the coagulant dosing process using the neural network was implemented and was shown by the field test. This automation system for the operator support system was constructed the environment to supervise the state an management of facilities for the maintenance.

• The Korean Journal of Nuclear Medicine Technology
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• v.22 no.2
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• pp.105-111
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• 2018

Purpose Quality control of instrument takes up a large part in the Radioimmunoassays. The gamma-ray instrument, which is one of the important instruments in the laboratory, observes the condition and performance of instrument and performs quality control of the instrument by measuring the Normalization, Calibration, Background and etc. However, there are some automation instruments which can't measure the counting efficiency of gamma-ray meters, resulting in insufficient management in terms of performance evaluation of gamma-ray meters. Therefore, the purpose of this paper is to manage the quality control continuously and regularly by suggesting how to measure the counting efficiency of gamma-ray instruments. Materials and Methods In case of a comparative measurement method to a gamma-ray instrument dedicated to nuclear medical examination, the CPM and counting efficiency can be obtained after the measurement of normalization by inserting the I-125 $200{\mu}L$(CPM 50,000~500,000) into the test tube. With this CPM and counting efficiency values, it's possible to calculate the measurement of the DPM value and count the CPM from the automation instrument from the same source, and enter the DPM to calculate the counting efficiency using a comparative measurement method. Another method is to calculate the counting efficiency by estimating the half life using the radiation source information of the tracer in B test reagents of company A. Results According to the calculation formula using the DPM obtained by counting the normalization of gamma-ray meters, the detection efficiency was 75.16% for Detector 1, 76.88% for Detector 2, 77.13% for Detector 3, 75.36% for Detector 4 and 73.2% for Detector 5 respectively. Using another calculation formula estimated from the shelf life, the data of the detection efficiency from Detector 1 to Detector 5 were 74.9%, 75.1%, 76.5%, 74.9% and 73.2% respectively. Conclusion Although the accuracy of counting efficiencies of both methods are insufficient, this is considered to be useful for ongoing management of quality control if counting efficiency is managed after setting the acceptable ranges. For example, if the measurement efficiency is set to 70% or higher, the allowed %difference between measurements is within 3% and the %difference with the detector wall is set within 5%.

• International Journal of Control, Automation, and Systems
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• v.5 no.4
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• pp.410-418
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• 2007

For the purpose of fault detection of the primary control surface, real-time estimation of the longitudinal stability and control derivatives of the DURUMI-II using the flight data is considered in this paper. The DURUM-II, a research UAV developed by KARI, is designed to have split control surfaces for the redundancy and to guarantee safety during the fault mode flight test. For fault mode analysis, the right elevator was deliberately fixed to the specified deflection condition. This study also mentions how to implement the multi-step control input efficiently, and how to switch between the normal mode and the fault mode during the flight test. As a realtime parameter estimation technique, Fourier transform regression method was used and the estimated data was compared with the results of the analytical method and the other available method. The aerodynamic derivatives estimated from the normal mode flight data and the fault mode data are compared and the possibility to detect the elevator fault by monitoring the control derivative estimated in real time by the computer onboard was discussed.