• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.234-238
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• 2007

Since the plant industry is a total business, it has great impact on the related industries and generates high value. However, in order to have a competitive engineering skills and capabilities, the plant industry requires long-term investment and a continuous strategic planning at the consortium level or national level. Also, a system needs to be established to share the information of the plant industry's overseas orders awarded and success factors. Thus, this study has conducted a survey and case study of the plant construction in foreign countries. Statistical analysis was performed and a basic data structure was built as a means of improving the future technological capabilities of the plant industry.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.539-542
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• 2006

According as acceptance an order results of plant industry increases, ability of plant project management is required and necessity about information technology is augmented. For required information technology, developing information present conditions that consist of partial or unit system of domestic plant companies by synthetic system, development of systematic plant information system that supply standard direction presentation, tools and know-how about information technology need. This study achieved basic research that set information strategy and target by reflect trend of such plant industry, analyze future IT technology trend, international information environment, policy trend etc. and execute SWOT analysis of plant information system through this and present confrontation ways. It is presented confrontation ways by SWOT analysis through this research; (1) Development of education contents that can come forth competent person of plant industry, (2) Practical use of communication means that can offer by real time about informations connected with plant, (3) Offer of knowledge contents that supply various and useful inside and outside of the country's plant knowledge

• Journal of the Korea Safety Management & Science
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• v.7 no.2
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• pp.1-12
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• 2005

TPM(Total Productive Management) that is enforcing introducing more than $80\%$ in domestic manufacturing industry is using total plant efficiency by the evaluation index, and as a result, can see a lot of examples that plant productivity is increased. This study's purpose centers total productive management activities that is management system for total plant efficiency's maximization, plant information system that total productive management activities factor that is enforcing in manufacturing industry can develop evaluation model that can evaluate qualitative activities by quantitative activities in process that maximize total plant efficiency wishes to do design.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.199-200
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• 2017

The Configuration Management(CM) of Nuclear Power Plant(NPP) is an activity that maintains consistency among the design requirement, facility configuration information and physical configuration. It is a systematic approach to performing various engineering tasks such as change management by identifying, documenting the characteristics of plant Structures, Systems and Component(SSC). The first activity that should be performed the configuration baseline setting at the start of project. The configuration baseline of the NPP construction phase is the status of the SSC of the plant at a specified process and time, and the actual configuration changes depending on the condition of plant. In this paper, I have studied the current status of configuration baseline used in the software industry and general plant industry, method of establishment for the configuration baseline which was first applied to the construction of NPP.

• Proceedings of the Safety Management and Science Conference
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• 2009.11a
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• pp.209-221
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• 2009

In the steel industry, steel is manufactured and processed to produce a variety of steel products. The industry provides fundamental materials to the whole range of industries including car, ship, electric appliance and construction industries, so that it is very important as an infrastructure industry. The steel manufacture process involves aerial work, many danger factors caused by the treatment with hazardous gases including BFG and COG and by high pressure gases including H2, O2, N2 and LPG. It requires the management over the large area because many workers work in a plant. The potential dangers in the steel plant were identified and the effect of the danger assessment was verified through the analysis of the danger assessment for the steel plant. The allowed degree of danger was lowered after the improvement through the danger assessment in the plant where the case studies were conducted, which indicates that the danger assessment is highly effective.

• Journal of Climate Change Research
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• v.6 no.2
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• pp.105-111
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• 2015

With PV market extension, Operation & Maintenance (O&M) went on the floor as an effective method so solve the reduction phenomenon of Performance Ratio (PR) of PV power plant and as a new business model of photovoltaic industry. This study chose institutionalization of O&M to vitalize domestic photovoltaic industry improving level of photovoltaic technology and dominate the market in advance. The result of analyzing advanced researches and domestic cases indicates that O&M is essential of operating PV power plant, therefore, now is the time for a systematic approach to establish O&M policy.

• Journal of the Semiconductor & Display Technology
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• v.20 no.1
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• pp.94-98
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• 2021

As the world's population grows, the food industry becomes increasingly important. Among them, agriculture is an industry that produces stocks of people all over the world, which is very important food industry. Despite the growing importance of agriculture, however, a large number of crops are lost every year due to pests and malnutrition. So, we propose a plant anomaly detection system for managing crops incorporating deep learning and drones with various possibilities. In this paper, we develop a system that analyzes images taken by drones and GPS of the drone's movement path and visually displays them on a map. Our system detects plant anomalies with 97% accuracy. The system is expected to enable efficient crop management at low cost.

• Nuclear industry
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• no.8
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• pp.33-34
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• 1978

• Nuclear industry
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• v.6 no.3 s.37
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• pp.12-17
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• 1986

• Nuclear industry
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• v.6 no.2 s.36
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• pp.2-6
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• 1986