• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1484-1487
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• 1996

An Automatic coking control system was developed to achieved substantial energy and labor savings through the stabilization and optimization of coke oven operation. With the aim of saving energy and labor, the coke department has been advanced automation and systematization. A typical examples of automation is Center Position Control System(CPCS) for coke oven. This system is proved effective in improvement of center position accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.779-787
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• 2003

Recently, a study on the development of remote monitoring and automation control system based on Web is spread widely. In this paper, we have expended the remote control method on the existing automation. And we proposed method to do real-time monitoring and remote control considering multimedia data processing, the expansion of TCP/IP using LabView graphical language. Also we applied the method in greenhouse environment control system. The application result was evaluated by very efficient thing to remotely monitor and control situation of greenhouse.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 1996.11a
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• pp.167-176
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• 1996

Flaw classification and sizing are very essential issues in quantitative ultrasonic nondestructive evaluation of various materials and structures including weldments. For performing of these tasks in an automated fashion, we are developing an intelligent ultrasonic evaluation system with a multi-axis portable scanner which can do consistent and efficient acquisition and processing of ultrasonic flaw signals. Here we present our efforts to develop of this intelligent system including design of the portable scanner, acquisition and processing of ultrasonic flaw signals, display of pseudo 3-D image of flaws, and classification and sizing of flaws in weldments.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.1
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• pp.9-18
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• 2007

There have been continuous efforts for automation of joint tracking system. This automation process is mainly used to do in root pass of gas metal arc welding in the field of heavy industry and shipbuilding etc. For automation, it is important using of vision sensor. Welding robot with vision sensor is used for weld seam tracking on welding fabrication. Recently, it is used to on post-weld inspection for weld quality evaluation. For real time seam tracking, it is very important role in vision process technique. Vision process is included in filtering and thinning, segmentation processing, feature extraction and recognition. In this paper, it has shown performance comparison results of seam tracking for real time root pass on gas metal arc welding. It can be concluded better segment splitting method than iterative averaging technique in the performance results of seam tracking.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.66 no.1
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• pp.43-47
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• 2017

A SIL(Safety Integrity Level) assignment method is used for preventing failure action. The goal of safety system for processing automation is to reduce the human fatal risk. Even if we have developed the processing automation according to developing technology, we are also realized on increasing the human fatal risk cause of unexpected accidents. This study is directed the solution of decision for safety level for safety system and the best architecture for safety system in process automation.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11b
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• pp.1443-1446
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• 2002

This paper proposes to integrate WAP(Wireless Application Protocol) with Bluetooth to implement a home automation system. One of the most important benefits of the proposed approach is the elimination of the problem of limited distance of Bluetooth as less than 10 meter. With WAP providing a data link between the Internet and a mobile phone and embedded WEB camera through Bluetooth, we can control various home appliances whenever and wherever we want. The hardware and software design issues for implementing such system are discussed and a pilot home automation system is implemented.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1525-1528
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• 2000

인터넷(Internet) 이란 거대한 네트웍들이 모인 것이다. 인터넷 속의 산업구조는 1:1 대면 방식의 구조에서 네트워크 상의 On-line 구조로 변화되어 가고 있다. 인터넷 상에서의 전자상거래를 통하여 우리 농촌의 농산물 판매 구조가 변화를 가져와야 할 것이다. 생산지에서 소비자에게 직송할 수 있는 상거래 시스템이 필요한 것이다. 이에 본 연구에서는 "웹 상의 농산물 전자상거래 사이트 구축 시 정보 보안 및 관리 방안"을 SSL/TLS를 이용한 쇼핑 시나리오를 이용하여 개선된 암호화 및 사용자 인증 전자결재시 사용되는 전자서명 키를 연구하여 구현하고자 한다. 또한 비대칭적 암호화 기법 및 SET을 이용한 암호화 거래 방법을 제시하였으며, 호스트의 비대칭적인 스위칭 시스템으로 사용자가 웹 사이트에 접속시에는 데이터 서버는 닫혀있는 상태이고 비동기적으로 사용자가 웹사이트에서 인증을 득한 후에 데이터 서버로 접속이 가능하며 데이터의 액세스가 끝난 후에는 웹사이트의 접속을 재게 시키고 데이터 서버의 액세스는 무효화시킴으로써 서버의 정보 보안 및 관리를 효율적으로 수행한다.

• Journal of Information Processing Systems
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• v.15 no.1
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• pp.189-202
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• 2019

During thermal power coal-fired boiler operation, it is very important to detect the pulverized coal concentration in the air pipeline for the boiler combustion stability and economic security. Because the current measurement methods used by power plants are often involved with large measurement errors and unable to monitor the pulverized coal concentration in real-time, a new method is needed. In this paper, a new method based on microwave circular waveguide is presented. High Frequency Electromagnetic Simulation (HFSS) software was used to construct a simulation model for measuring pulverized coal concentration in power plant pipeline. Theoretical analysis and simulation experiments were done to find the effective microwave emission frequency, installation angle, the type of antenna probe, antenna installation distance and other important parameters. Finally, field experiment in Jilin Thermal Power Plant proved that with selected parameters, the measuring device accurately reflected the changes in the concentration of pulverized coal.

• Proceedings of the KOSOMBE Conference
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• v.1985 no.06
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• pp.36-39
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• 1985

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3315-3337
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• 2012

Crowded scenes analysis is a challenging topic in computer vision field. How to detect diverse motion patterns in crowded scenarios from videos is the critical yet hard part of this problem. In this paper, we propose a novel approach to mining motion patterns by utilizing motion information during both long-term period and short interval simultaneously. To capture long-term motions effectively, we introduce Motion History Image (MHI) representation to access to the global perspective about the crowd motion. The combination of MHI and optical flow, which is used to get instant motion information, gives rise to discriminative spatial-temporal motion features. Benefitting from the robustness and efficiency of the novel motion representation, the following motion pattern mining is implemented in a completely unsupervised way. The motion vectors are clustered hierarchically through automatic hierarchical clustering algorithm building on the basis of graphic model. This method overcomes the instability of optical flow in dealing with time continuity in crowded scenes. The results of clustering reveal the situations of motion pattern distribution in current crowded videos. To validate the performance of the proposed approach, we conduct experimental evaluations on some challenging videos including vehicles and pedestrians. The reliable detection results demonstrate the effectiveness of our approach.