• 한국건설관리학회논문집
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• 제5권2호
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• pp.81-89
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• 2004

Pipe joining is one of the most critical aspects of most industrial projects, but it is regarded as one of the most inefficient processes in the construction industry. The primary objective of this paper is to explore the applicability of advanced joining technology to the use of metal pipe in the construction industry. This paper begins with a review of current practices with respect to metal joining in the construction industry. The current status of pipe joining is examined. Needs for, and benefits of, advanced joining technology are identified, and a tool for evaluating the applicability of various methods to construction is presented. Joining technologies, including mechanical joining, adhesive bonding, welding, and welding automation, are then introduced, and their applicability to the construction industry is assessed by means of this evaluation tool. It is concluded that there is significant benefits for improvement of piping process in the construction industry through the use of advanced joining technologies.

• 한국정보처리학회논문지
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• 제7권3호
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• pp.818-830
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• 2000

Automation tools for program analysis are needed in order to program understand and maintain, extract the characteristics of object-oriented program such as class name, member function and data member. In this paper, we carried out design and implementation of the automation tool for effective maintenance of object-oriented software. Being based on Reverse Engineering, this approach extracts class relationship information from C++ source code and generates object-oriented model of class diagram using UML as the standard object-oriented methodology. Therefore, this paper provides developers visualized including class information, definitions of classes, inheritance relationships, set relationships, and simple reference relationships. Finally in this paper, we propose a method that construct class relationship information to table in analysis state and make form of table construction to link form so tat developers can perform understanding and maintaining program efficiently. And this method enable to restructure and reuse in object-oriented model.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.113-117
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• 2003

In the industrial field nowadays the information that needs to be handled arc increasing and requires faster speed in contrast with PLC(Programmable Logic Controller) or DCS(Distributed Control System) based control systems these days. The work environment these days are mostly based on PC, so the control systems are wanted in PC. At Fieldbus used automated systems performing distributed process control by PC performs and combines into one system in order to maximize the increase of productivity, lower the expense, planning constructing and maintaining the reliance of automation. These latest automation systems unites process, makes distributed control process able, and can control and supervise at remote PC.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1996년도 추계학술대회 논문
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• pp.144-149
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• 1996

The automation of mesh generation in BEM is bery important in numerical analysys field for the time and efficiency. To be solve this problem Probram and Algorithm, to achive purpose of making input data and automation of mesh generation based on Expert system is developed in this study. And function of this program can be rotating and zooming, To prove efficiency and availability of program in result the stress intensity factor which is criteria of fracture mechanics is caculated and compared with other results.

• 한국농공학회:학술대회논문집
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• 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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• pp.219-224
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• 1999

In this study New design automation method of R/C structure based on the finite element method and the analogy evolution ary procedure was developed . This system is the efficient tool to support Reinforcement Arrangement of R/C structure. The anology evolutionary procecure is similar to the evolutionary procedure proposed by Xie and Steven.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2002년도 추계학술대회 논문집
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• pp.95-98
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• 2002

Monitoring of the cutting trouble is necessarily required to do Factory Automation and Intelligent manufacturing system. Therefore, we constructed a monitoring system using neural network in order to monitor of the cutting trouble. From obtained result, it is shown that the cutting trouble can be monitored effectively by neural network

• 전기학회논문지P
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• 제66권3호
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• pp.110-116
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• 2017

System to automate the trial-run of energy storage system for frequency regulation was developed and demonstrated. Basic strategy was developed on the basis of trial-run procedure and verified in the computer simulation tool. The algorithm was developed and coded for 4MW trial-run automation system. 4MW trial-run automation system was connected to 4MW energy storage system for frequency regulation in Jocheon substation of Jeju city and demonstrated. 24MW trial-run automation system was developed on the basis of 4MW trial-run automation system and verified by operation system for 24MW energy storage system for frequency regulation. The operation system has own simulation model of energy storage system and power system. The verification was performed to improve the system in the view of user. 24MW trial-run automation system was demonstrated in 32MW Ul-san and 36MW Non-gong energy storage system. All tests of trial-run was done by manual and first they ware taken 1 week with no trial-run automation system. The manual trial-run tests were taken by maximum three times. Trial-run test by trial-run automation system was taken 2 days. The system helps reduce the trial-run test period and improve the accuracy of tests.

• 한국통신학회:학술대회논문집
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• 한국통신학회 2006년도 하계종합학술발표회 논문 초록집
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• pp.595-595
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• 2006

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.55.6-55
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• 2002

Huafei Liao is a graduate student of the Automation department in Tsinghua University, China. His research involves computer-aided process planning, 3D CAD/CAM, virtual reality, and feature recognition.

• 한국정밀공학회지
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• 제14권10호
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• pp.135-140
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• 1997

The detection of cutting tool states in machining is important for the automation. The information of cutting tool states in metal cutting process is uncertain. Hence a industry needs the system which can detect the cutting tool states in real time and control the feed motion. Cutting signal features must be sifted before the classification. In this paper the Fisher's linear discriminant function was applied to the pattern recognition of the cutting tool states successfully. Cutting conditions and cutting force para- meters have shown to be sensitive to tool states, so these cutting conditions and cutting force paramenters can be used as features for tool state detection.