• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2037-2042
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• 2017

The manufacturing facility is generally operated by a pre-set program under the existing factory automation system. On the other hand, the manufacturing facility must decide how to operate autonomously in Industry 4.0. Determining the operation mode of the production facility itself means, for example, that it detects the abnormality such as the deterioration of the facility at the shop-floor, prediction of the occurrence of the problem, detection of the defect of the product, In this paper, we propose a manufacturing process modeling using a queue for detection of manufacturing process abnormalities at the shop-floor, and detect abnormalities in the modeling using SVM, one of the machine learning techniques. The queue was used for M / D / 1 and the conveyor belt manufacturing system was modeled based on ${\mu}$, ${\lambda}$, and ${\rho}$. SVM was used to detect anomalous signs through changes in ${\rho}$.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.791-794
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• 2008

최근 홈오토메이션 시스템(Home Automation System) 즉, 가정 자동화 시스템에 대한 관심과 수요가 커지면서 이를 위한 네트워크 구축에 관한 여러 연구 및 개발이 활발히 이루어지고 있다. 홈오토메이션 시스템이란 가정에서 사용되는 여러 가전기기 및 센서장비를 이용하여 집 안의 기기를 제어함으로써 가정을 안전하게 관리하고, 사용자의 편의를 극대화하여 인간의 생활수준을 향상시키는 기술을 말한다. 본 논문에서는 Cypress사의 PSoC 기반으로 가정 내에서 사용할 수 있는 온도, 습도, 가스검출, 불꽃감지와 같은 여러 환경 센서 및 인체감지센서를 이용한 방범 센서 장치 구현방법을 제안하고, PSoC 기반의 WirelessUSB를 이용하여 센서 및 호스트 PC와의 네트워크 시스템을 구축한다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.4
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• pp.183-189
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• 2021

In recent years, active research has been devoted toward developing a monitoring system using ambient vibration data in order to quantitatively determine the deterioration occurring in a structure over a long period of time. This study developed a low-cost edge computing system that detects the abnormalities in structures by utilizing the dynamic characteristics acquired from the structure over the long term for ensemble learning. The system hardware consists of the Raspberry Pi, an accelerometer, an inclinometer, a GPS RTK module, and a LoRa communication module. The structural abnormality detection afforded by the ensemble learning using dynamic characteristics is verified using a laboratory-scale structure model vibration experiment. A real-time distributed processing algorithm with dynamic feature extraction based on the experiment is installed on the Raspberry Pi. Based on the stable operation of installed systems at the Community Service Center, Pohang-si, Korea, the validity of the developed system was verified on-site.

• Journal of Broadcast Engineering
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• v.25 no.1
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• pp.13-24
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• 2020

There are about nine million power line poles and 1.3 million kilometers of the power line for electric power distribution in Korea. Maintenance of such a large number of electric power facilities requires a lot of manpower and time. Recently, various fault diagnosis techniques using artificial intelligence have been studied. Therefore, in this paper, proposes a power line deflection detect system using artificial intelligence and computer vision technology in images taken by vision system. The proposed system proceeds as follows. (i) Detection of transmission tower using object detection system (ii) Histogram equalization technique to solve the degradation in image quality problem of video data (iii) In general, since the distance between two transmission towers is long, a panoramic video stitching process is performed to grasp the entire power line (iv) Detecting deflection using computer vision technology after applying power line detection algorithm This paper explain and experiment about each process.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.85-94
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• 2010

Many RFID systems use dynamic slotted ALOHA to identify the label information of the RFID tags. One of the key problems in the RFID system is how to estimate the number of RFID tags up to the desired level of accuracy. In this paper, we present the framework of tag estimation algorithm for the collision-oblivious (CO) reader which can only decide whether the tag response is successful or not. Thus, the CO reader must rely on the success estimator to predict the RFID tag population. We propose two estimation algorithms to predict the number of RFID tags, named the memoryless success estimator (MSE) and the intersection-based success estimator (ISE). The MSE considers only the estimate obtained at the current inventory round, while the ISE finds an appropriate intersection interval of the existing estimates collected at every inventory round. Through the simulation results, we demonstrate that the ISE is a fast, accurate, and controllable estimator whose performance is close to that of the collision/idle estimators.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.426-431
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• 2016

In quay processes in shipyards, it is difficult to manage workers and to maintain secure working environments because at least 1,000 people can occupy the quay at the same time. In this study, a system was designed to monitor the environment and processes of quay operation. In order to lower initial investments and the costs of maintenance and operation, the entire system consists of six connected components. Considering the communication environment of the shipyard site, Wi-Fi and the LoRa communication protocol were selected for the system. The feasibility of the communication protocols was verified by data transmission tests in the field. The designed system can provide real-time information about employees working in the quay area, the safety status of moored ships on the quay, and step-by-step alarms in dangerous situations based on the detected information. The system is expected to prevent or greatly reduce safety hazards.

• Proceedings of the KIEE Conference
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• 2007.04b
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• pp.82-84
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• 2007

본 논문에서는 전기화재 예방을 위한 향 검지기 및 향 캡슐, 향 센서의 구조와 향 검지 시스템의 동작원리에 대하여 다루었으며, 이 향 검지 시스템을 산업 현장에서 많이 사용되는 단자대(터미널 블록)와 저압용 차단기의 체결나사의 접촉 불량에 의한 이상 발열에 적용하여 향 검지 시스템의 동작 특성과 유효성에 대하여 검증하였다. 향 검지시스템을 현장에 적용하여 확인한 결과 효과적으로 이상 발열을 감지하여 음성과 표시로 관리자에게 통보해 줌을 확인할 수 있었다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.329-330
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• 2019

인터넷 기술 및 통신 기술의 급격한 발전과 사물 인터넷을 기반으로 산업 구조가 재편됨에 따라 점차 지능화, 다변화 있는 보안 위협들에 대하여 기존 시스템 보안 중심의 취약성 분석 및 데이터 암호화를 통해 구성된 보안 시스템은 한계를 보이고 있다. 특히 외부 침입 방지를 위해 별도의 사설망을 구축하여 물리적으로 분리된 보안망에 대한 악성코드 유입 등의 보안 위협 발생도 꾸준히 증가하고 있으며 보안 침해 상황 발생 시 빠른 대응도 점차 어려워지고 있다. 이에 본 연구에서는 새로운 유형의 보안 취약성 탐지를 위해 기존 보안 시스템을 구성하는 리엑티브(reactive) 기법 및 휴리스틱(heuristic) 탐지 기법이 아닌 네트워크 패킷 수집 및 분석과 대상 시스템의 비지니스 모델 매칭을 통한 사용자 행위 패턴을 해석하였다. 그리고 실시간 행위 분석을 수행하여 사용자 행위 중심의 이상 징후 감시 기준을 설립함으로써 보안 위협에 대한 행위 유형 판단 기준 및 이상 감지 판단 방법에 대해 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.253-255
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• 2004

현재의 센서 네트워크를 구성하고 있는 센서 노드들은 배치 전에 미리 입력된 라우팅 및 감지 서비스만을 제공한다. 이러한 센서 네트워크 및 노드 구조는 기존의 고정화된 환경에는 적합하나 차세대 유비쿼터스 환경과 같이 시스템이 스스로 성장하며 서비스 추가 및 재설정 요구가 빈번하게 일어나는 환경에서는 그대로 적용하기가 힘들다. 따라서 본 논문에서는 유비쿼터스 환경에서 시스템 레벨의 정책 및 환경 변화에 따라 적응적으로 동작할 수 있는 센서 네트워크 노드 구조를 제안하여, 또한 제안된 구조에서 기존의 구조에 대한 에너지 소모 정도를 분석하여 제안의 현실성을 검증한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.429-436
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• 2008

Nowadays fires must be detected rapidly Abstract, and by connecting the detector's distribution, sender, transponder, receiver and others can be connected. Mechanical systems are implemented in today's buildings. However, this kind of constructing method has some disadvantages, that is, if fire happens somewhere, we cannot judge where the fires happen, and it is also difficult to judge what extent the fires reach. In order to overcome the disadvantages, in this paper, according to the tendency of combining the Ubiquitous and Intelligent Network, we propose a type of system by using the method of comparing the differences of the existed systems. The proposed system is designed to perceive the fires rapidly and confirm the fire place and fire scale correctly.