• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.213-214
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• 2009

무선 센서들의 진보에 따라 환자의 상태를 모니터링 하거나 정보를 저장 후 원거리에 있는 의사들의 진단 제공이 가능하게 되었다. 하지만 환자의 데이터의 양에 비해 의사의 수가 적으므로 환자가 진단을 제공 받는데 시간적인 한계가 있다. 따라서 본 연구에서는 환자의 상태를 1 차적으로 자동 진단하는 시스템을 제안한다. 전체 데이터의 적용을 위해 Circadian rhythm에 기반한 데이터 직접방법을 제안하고 데이터를 효율적으로 분류하기 위해 PSO(Particle Swarm Optimization)을 기반으로 하는 분류화 알고리즘을 적용하여 시스템의 수행속도 향상을 도모하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1061-1062
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• 2023

양자 CMOS 이미지와 QD-OLED 하이드로겔 저온 증폭 기술을 활용하여 기존 코로나 진단법의 한계를 극복하고, Machine Learning 모델을 통해 자동화된 바이러스 검출 시스템을 개발하는 것이다. 이를 통해 전문가 개입 없이도 높은 정확도로 질병 진단을 수행하는 웹 서비스를 구축함으로써, 코로나와 같은 전염병의 조기 진단과 효율적인 대응을 위한 새로운 도구를 제공하는 것이 목표이다. 이를 통해 의료 분야에서의 혁신과 질병관리의 향상에 기여할 것으로 기대된다.

• Proceedings of the KSME Conference
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• 2005.11a
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• pp.205.2-205.2
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• 2005

• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.511-514
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• 2006

1. 소수력 발전시스템의 자동화 및 고장진단 알고리즘, 2. 종합 제어시스템의 성능 실험과 원격제어 시스템의 개발, 3. 소수력 발전 시스템의 무인 종합 제어시스템 개발

• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.47-53
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• 1999

In medical field, the computer has been used in the automatic processing of data derived in hospital. the automation of diagonal devices, and processing of medical digital images. In this paper, we classify red blood cell into 16 class including normal cell to the automation of blood analysis to diagnose disease. First, using UNL Fourier and invariant moment algorithm, we extract features of red blood cell from blood cell image and then construct multi-layer backpropagation neural network to recognize. We proof that the system can give support to blood analyzer through blood sample analysis of 10 patients.

• KNOM Review
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• v.23 no.1
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• pp.18-25
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• 2020

Recently, a research on a smart factory was developed from a concept of factory automation(FA) to the formation of collecting and analyzing data. This trend is accelerated as the development of communication technology(5G) and IoT devices are developed in various ways according to the field situation. In addition, digital transformation has been actively conducted in the strengthening corporate competitiveness, and various optimization studies are being conducted through process re-adjustment by combining data received from various IoT equipment and automated facilities. Therefore, in this paper, we propose a system architecture and its related components in diagnosing and repairing facility failure using a prediction system which is one of the related researches.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.3
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• pp.133-142
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• 2006

The purpose of this study is to predict the fracture energy in accordance with the combination variables by applying the mix design nomogram in ready mixed concrete products. In terms of the experiment for drawing up Mix Design Nomogram, the beam is manufactured based on the mixture table described in the specifications of ready mixed concrete manufacturing company and a three-point bending test suggested in RILEM 50-FMC Committee is performed. As a result, this study makes sure the possibility to apply the mix design nomogram that is possible to predict the fracture energy in ready mixed concrete products and enables one to achieve the automation of the design of mixture for the production of ready mixed concrete products with the development of program using it.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.106-109
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• 2005

산업화와 더불어 자동화의 요구에 따라 여러 분야에서 유도전동기의 응용 사례가 늘어나고 있다. 본 연구는 인버터단의 전류센서에서 실시간 얻어진 전류신호로 부터 대표적인 전기, 기계적인 4가지 고장(Bearing Fault, Broken Rotor bar, Misalignment, Unbalance)을 검출하여 예기치 못한 고장에 대비할 수 있는 실시간 진단 알고리듬을 제시한다. 실시간 진단의 핵심요소인 동기화 방법으로서 Hilbert Transform을 응용하였다. 총 40세트의 정상 모터 데이터를 임의로 선택하여 두 데이터의 차를 이용하여 0에 근사한 정상 모터 뎀플릿 값을 설정하였다. 이를 이용하여 진단 대상 전동기의 고장 유무를 미리 판단하게 된다. 만약 기준치 이상의 오차가 나타나게 되면, 이와 비교하기 위한 미리 수집된 각4가지 고장 전동기의 미소신호 템플릿 데이터와의 유사성을 비교하여 고장의 종류를 표시하며, 고장의 종류가 진단되지 않은 대상은 고장 유무만 표시된다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.680-685
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• 2006

Bridges are an integral part of Transportation that is always open to traffic.To effectively manage bridges today, more needs to be done to assess the day-to-day condition and behavior of bridges, and the deterioration rates of their components, so that efficient and proactive measures can be taken. Conventional methods consumemore time and they lack flexibility to reach all locations in high convoluted structures which most bridges offer. Instead, this work uses a new concept of robot, termed as Bridge inspecting robot, which, as its name suggests, possesses superior ability to flex, reach, and approach all points on the bridge. This study also provides economical feasibility model for the same and a comparison with existing bridge inspection and automated inspection work. Finally, we have uncovered few issues and did not analyze some information because of limitation to data.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.181-186
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• 2020

Until now, the development of design and operation model for automated container terminals has been mainly performed based on the western ports model, specializing in basic loading, and discharging operations. In the case of the Busan port, terminal operators provide basic stevedoring, as well as an additional logistics service known as 'On Dock Service' not suitable for the currently commercialized automated container terminal model. This study diagnosed the current Busan port's throughput structure and terminal operational characteristic, and proposed a modified perpendicular layout container terminal transport model named 'Interchange Transport Model' for effective management of empty container and operation costs. Although the 'Interchange Transport Model' requires an additional number of transport equipment (AGV), concerning operational efficiency and cost saving, a simulation showed 22% reduction of TAT and 9.4% reduction of annual terminal operational costs in comparison to the basic perpendicular layout model.