• Journal of the Korea Academia-Industrial cooperation Society
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• v.1 no.1
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• pp.55-62
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• 2000

Factory automation of enterprise has become one of the most important method that acquire competition power. Therefore, it is necessary to evaluate quality of automation software for quality enhancement of factory automation system. duality is affected to technical quality of software in automation of making. In this study, we established a quality evaluation system, evaluation Process and metrics for factory automation software, and implemented quality evaluation tool which can support quality progress of automated software.

• Journal of the Korean Society for Precision Engineering
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• v.11 no.1
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• pp.184-191
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• 1994

In this study, the product design technology to facilitate the assembly automation is developed. First, checkistis are developed to analyse weakpoints which make assembly automation difficult. The weakpoints of assembly automation can be redesigned by using design rules for assemblability which are systematized in this research. In addition, the assemblability of product can be evaluated qualitatively with the new developed assembly evaluation method. This evaluation method is performed in the respect of the component parts, the assembly method and the assembly motion.

• IE interfaces
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• v.10 no.1
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• pp.209-222
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• 1997

The paper provides a methodology to obtain the automaticity indicator of a factory and the sequence of enabling technologies of factory automation. The automaticity indicator is the measure of the current automation status of a factory and can be used as a crucial criteria for the future automation schedule and investment. Although most industries have their own computation methods which usually consider the number of workers in the shop floor, this research covers five evaluation items of automation, such as, production facility, material transfer system, inspection and test system, information system, and flexibility. The detailed evaluation models are developed for each item. Automation sequencing prioritizes the enabling technologies of factory automation on the basis of several criteria which consist of two phases. The first phase includes the automation indicator and the second phase includes six sub-criteria such as production rate, quality, number of workers, capital investment, development duration, development difficulty. For this evaluation, AHP(Analytical Hierarchy Process) is introduced to prevent the decision maker's subject intention. As results of the automaticity indicator and automation sequence, the manager can save time and cost in building constructive and transparent automation plans.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.05a
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• pp.111-115
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• 2008

The productivity is the one of the primary elements to evaluate the new systems performance for building construction along with the economic efficiency, the safety, and the quality improvement. At present the on-site construction automation systems(we will call it as Construction Factory or CF hereafter) is under the development by research group for construction automation of high-rise building. The system includes many sub-systems such as a robotic crane, a construction factory, bolting robots, a building material management system using RFID and so on. In this study we discuss and propose the method to evaluate for these hybrid on-site automation system fundamentally. In future we devise a framework of evaluation modules for the on-site building automation system on the basis of this discuss.

• Journal of KIBIM
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• v.14 no.2
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• pp.25-34
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• 2024

This study proposes a new methodology to increase the flexibility and efficiency of the design data evaluation system by combining Building Information Modeling (BIM) technology in the architectural industry, OpenAI's interactive artificial intelligence, and ChatGPT. BIM technology plays an important role in digitally modeling and managing architectural information. Since architectural information is included, research and development are underway to review and evaluate BIM data according to conditions through program development. However, in the process of reviewing BIM design data, if the review criteria or evaluation criteria according to design change occur frequently, it is necessary to update the program anew. In order for designers or reviewers to apply the changed criteria, requesting a program developer will delay time. This problem was studied by using ChatGPT to modify and update the design data evaluation program code in real time. In this study, it is aimed to improve the changing standards and accuracy by enabling programming non-professionals to change the design regulations and calculation standards of the BIM evaluation program system using ChatGPT. In this study, in the BIM-based design certification automation evaluation program, a program in which the automation evaluation method is being studied based on the design certification evaluation manual was first used. In the design certification automation evaluation program, the programming non-majors checked the automation evaluation code by linking ChatGPT, and the changed calculation criteria were created and modified interactively. As a result of the evaluation, the change in the calculation standard was explained to ChatGPT and the applied result was confirmed.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.296-306
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• 2024

Traditional ecological driving (Eco-Driving) evaluations often rely on mathematical models that predominantly offer subjective insights, which limits their application in real-world scenarios. This study develops a robust, data-driven Eco-Driving evaluation model by integrating dynamic and distributed multi-source data, including vehicle performance, road conditions, and the driving environment. The model employs a combination weighting method alongside K-means clustering to facilitate a nuanced comparative analysis of Eco-Driving behaviors across vehicles with identical energy consumption profiles. Extensive data validation confirms that the proposed model is capable of assessing Eco-Driving practices across diverse vehicles, roads, and environmental conditions, thereby ensuring more objective, comprehensive, and equitable results.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.51-69
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• 2008

The purpose of this study was to identify the level of awareness, uses, and satisfaction on home automation systems by the digital home residents, to reveal the existing problems using home automation systems, and to clarify residents' positive or negative life changes after using home automation systems. Two apartment complexes, which were relatively well equipped with home automation systems compared to other recently built apartments, were selected to perform the survey by digital home residents who were housewives and have lived in current home more than 6 months. The researcher developed a survey questionnaire for each apartment complex and collected data from 501 residents from May to June, 2008. The results of the study found low awareness and low uses of remote control systems of electric appliances through a cellular phone or PC from outside. Also, the significant variables which showed group differences in level of uses and satisfation were age, annual income, duration of residence, and level of considering home automation system before decision to move in. The results of the study also revealed that frequent breakdown was the most critical problem using home automation systems. Generally, using home automation systems affected to residents' life changes positively. More findings and suggestions for development of more user-friendly digital home services were discussed.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2684-2686
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• 2000

This paper describes a preliminary study on a modeling technique for control performance evaluation of asynchronous TMR(Triple Modular Redundancy) controller. Hybrid system modeling is applied to TMR controller performance evaluation and mixed logical dynamical system description is used to model the behavior of majority voter in the controller. Windup and bumpless transfer problems in redundancy controls are also mentioned.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2007.11a
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• pp.105-108
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• 2007

This study aims to develop a performance evaluation system for the Construction Factory(CF). The CF is a kind of full automation system for building construction which consists of the lifting system for building materials, the built-up unit for steel structural components, the bolting robots, the control center for the site management, and the site covering system. The CF is developing now as a project of the construction automation and robotics. In this study we firstly reviewed the state-of-the-art of the construction automation and robotics in the foreign and the domestic, and investigated the precedent case of the CF such as the SMART System of Shimizu Co., Japan. We believe that without an objective evaluation of the results there won't be growth in technological R&D. Therefore, this study sees the developing CF as an new technology and method in building construction, and proposes the direction and frame of the appropriate evaluation which can be applied into the CF.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1024-1027
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• 2005

This paper describes the performance index of mobile robot and development of testbed which is used to evaluate the index. The developed testbed has rectangular structure similar to a living room of home. It is semi-automation testbed system for evaluation of cleaning performance index. This system is composed with scattering and cleaning equipment of test materials, equipment rifting of objects in inner space and sides itself, vision processing system. To be consistent of performance evaluation of cleaning robot, we make use of camera in this system for the sake of measurement of robot s mobility, path and suction quantity.