• 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.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.545-550
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• 2001

Domestic construction industry has faced with many problems in productivity, quality, safety and skilled-labor availability because of the national economic depression, insufficient supply of skilled labors and so on. There is a growing need for improving productivity and quality, and savings in cost. In the case of advanced countries, they have made a number of research efforts to solve these problems with construction automation and robotics. Recently, there are growing interests in construction automation and robotics but such interests have not been further increased due to the difficulties in gathering or accessing valuable information on the research and development of construction automation and robotics. The main purpose of this study is to provide a web-based research database and decision support system for an effective research and development of automated construction system and robots. It is expected that this system would be able to provide a framework for the successful research, development and implementation of the construction automation and robotics in domestic construction industry

• Journal of the Regional Association of Architectural Institute of Korea
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• v.21 no.6
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• pp.1-6
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• 2019

Construction automation can be an effective alternative for the lack of skilled labor and loss of productivity. With such a background, Korean government has provided a lot of financial supports for the development of construction automation technology. However, despite of those efforts, automation systems at construction sites have rarely been employed. This is because the systems have not been developed with full consideration of the needs and environments on construction sites. Thus, the purpose of this study is to identify the critical success factors for efficient development of construction automation systems. This study compares and analyzes key factors for automated construction system(ACS) and construction information system(CIS). As a result, 'stability and reliability' in the ACS showed the highest importance while 'manageability' in the CIS was. Consequently, for the successful introduction of the ACS, technical capability and stability should be firstly considered to cope with dynamic construction environment, while the CIS should be built to enable efficient management and use of information. The result of this study can serve as an evaluation base for the current construction automation technologies and an index for more efficient technology development in the future as well.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.738-738
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• 1994

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.19 no.4
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• pp.570-575
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• 2010

This study is regarding development of an index table for antomation of welding process in impeller fabrication. A PLC, which is widely used for automation in industry, was also adopted as a controller for the index table because of it effectiveness, easy maintenance and repair. The index table consists of centering jig, blade jig, workbench, driving system and a controller. A touch screen was also prepaired as a man-machine interface to provide convenience for workers. Water jacket was installed inside the workbench to reduce thermal stress come from the welding. Temperature of the water jacket was kept constant to cool an impeller main plate effectively. The index table developed in this study convinces that it reduces the total welding time by 50% compared with the conventional process without the table.

• Journal of Biosystems Engineering
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• v.25 no.1
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• pp.63-70
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• 2000

In Korea, researches for year-round leaf vegetables production system are in progress and the most of them are focused on environment control. Automation technologies for harvesting , transporting and grading need to be developed. This study was conducted to develop harvesting process automation system profitable to a competitive price. 1. Manipulator and end-effector are to be designed and fabricated , and fuzzy logic controller for controlling these are to be composed. 2. The entire system constructed is to be evaluated through a performance test. A robot system for harvesting a lettuce was developed. It was composed of a manipulator with 20DOF (degrees of freedom) an end-effector, a lettuce feeding conveyor , an air blower , a machine vision device, 6 photoelectric sensors and a fuzzy logic controller. A fuzzy logic control was applied to determined appropriate grip force on lettuce. Leaf area index and height index were used as input parameters, and voltage was used as output parameter for the fuzzy logic controller . Success rate of the lettuce harvesting system was 93.06% , and average harvesting time was about 5 seconds per lettuce.

• Magazine of the Korean Society of Agricultural Engineers
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• v.43 no.6
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• pp.187-196
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• 2001

In this study, by using the natural language processing of the field of artificial intelligence, automated index was performed. And then, the Natural Language Processing Interface for knowledge representation(NALPI) has been developed. Furthermore, the DEsign KnOwledge DataBase(DEKODB) has been also developed, which is designed to interlock the knowledge base. The DEKODB processes both the documented design-data, like a concrete standard specification, and the design knowledge from an expert. The DEKODB is also simulates the design space of structures accordance with the production rule, and thus it is determined that DEKODB can be used as a engine to retrieve new knowledge and to implement knowledge base that is necessary to the development of automatic design system. The application field of the system, which has been developed in this study, can be expanded by supplement of the design knowledge at DEKODB and developing dictionaries for foreign languages. Furthermore, the perfect automation at the data accumulation and development of the automatic rule generator should benefit the unified design automation.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.58-58
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• 2022

With the development of advanced technology, automation of agricultural work is spreading. In association with the 4th industrial revolution-based technology, research on field smart farm technology is being actively conducted. A state-of-the-art unmanned automated agricultural production demonstration complex was established in Naju-si, Jeollanam-do. For the operation of the demonstration area platform, it is necessary to build a sophisticated, advanced, and intelligent field smart farming model. For the operation of the unmanned automated agricultural production demonstration area platform, we are building data on the growth of soybean for smart cultivated crops and conducting research to determine the optimal time for agricultural work. In order to operate an unmanned automation platform, data is collected to discover digital factors for water management immediately after planting, water management during the growing season, and determination of harvest time. A subsurface drip irrigation system was established for smart water management. Irrigation was carried out when the soil moisture was less than 20%. For effective water management, soil moisture was measured at the surface, 15cm, and 30cm depth. Vegetation indices were collected using drones to find key factors in soybean production prediction. In addition, major growth characteristics such as stem length, number of branches, number of nodes on the main stem, leaf area index, and dry weight were investigated. By discovering digital factors for effective decision-making through data construction, it is expected to greatly enhance the efficiency of the operation of the unmanned automated agricultural production demonstration area.

• Journal of Korean Society for Quality Management
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• v.19 no.1
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• pp.170-187
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• 1991

Investments in factory automation do not guarantee productivity enhancement. Much unknown losses may exist in all aspects of production resources such as in material, manpower, machine, etc. Total productivity in korean firms has decreased in recent years. Labor and capital productivity index fall to 0.82 point and 0.73 point, respectively. Investment in FA has Increased rapidly. Tangible fixed assets per capita increased 64% during the past Three years. But, this high-technology oriented systems such as NC, robotics, CAD/CAM, FMS, etc. are often out of keeping with the old production process control, and thus do not result in satisfactory performance. This review paper concerned with these problems and suggests some future directions for production control and development strategy of korean firm's.

• Journal of Korean Port Research
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• v.12 no.2
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• pp.243-250
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• 1998

This study is to find subjects for the Automated Container Terminal(ACT) development and container terminal system. Also we analyze the present condition of the container terminal system in Pusan port and its automation level by systems approach. And this paper aims at evaluating on the priority of R&D investment until the beginning of the second stage of New Pusan Port Project(2006). In this process we have considered 8 evaluation indexes(cost, labor, area, time, volume, reliability. safety, convenience) to analyze 6 subsystems. The priority of R&D until target year by sub-systems is as follow: 1. Cargo Handing System, 2. Transfer System, 3. Port Entry System, 4. Storage System (Distribution & Manufacturing System included), 5.Inland Transport System, 6.Port Management & Information System.