Purpose: Currently, port facility informatization technology is focused on the planning and design phases, so the necessity of research and technology development on the port facility maintenance system based on life cycle-level information is emphasized. Method: Based on the maintenance history data of port facilities and facility operation information, from the perspective of the life cycle of port facilities, the system is configured to enable maintenance decisions for port facilities through analysis of aging patterns, performance degradation prediction models, and risk analysis and proposed a method of expressing information. Result: A function was developed to simultaneously display the SOC performance evaluation and the comprehensive performance evaluation developed in this study, so that mid-to long-term maintenance and reinforcement and facility expansion can be applied and comparatively judged. Conclusion: The integrated port performance system developed in this study induces and supports the risk minimization of port facility management by proactively promoting appropriate repair and reinforcement measures through historical and operational information on port facilities.
Journal of the Korean Institute of Landscape Architecture
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v.29
no.4
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pp.34-43
/
2001
Unlike ordinary recreational facilities, an amusement park consists of various entertainment facilities, attractions, food services, souvenir shops and other attribute. The purpose of this study is to survey users´ responses to such attributes and analyze the importance and performance of each attribute, and thereby, ultimately help improve the efficiency of management and operation of the amusement parks. For this purpose, a survey was conducted of Everland users in August, 1999. 420 users were chosen by means of he systematic sampling. All the suers were asked to rate the importance of 14 attributes of Everland at the entrance and all of them were asked to do the same at the exit. As a result, it was found that the attribute rated highest by the users was ´attraction´, followed by ´service´, ´accessibility´ and ´cost´ in that order. On the other hand, it was found that the total average of importance rated for 14 attributes was 3.31, while that of performance was 3.10. As a consequence of analyzing the action grids, it was found that ´appropriateness of the circulation system´ should be improved most urgently. 7 attributes were categorized as ´keeping up good work´, and 6 ones were rated ´low priority´ in terms of improvement. There was no attribute considered to be ´possible overkill´. Meanwhile, as a result of analyzing the difference among groups in order to determine users´ response depending on their demographic and socio-economic variables, it was found that only the ´age´ variable was significant. It is expected that the results that the results of this study would be useful in determining priorities when improving amusement park facilities or their programs.
The national defense requires uninterrupted decision-making, even under direct or indirect impacts on non-traditional threats such as infectious diseases. Since all work utilizes the information system, it is very important to ensure the availability of the information system. In particular, in terms of security management, defense work is being performed by dividing the network into a national defense network and a commercial Internet network. This study suggests a work execution plan that takes into account the efficiency of work performed on the Internet and the effectiveness of security through effective defense information system operation. It is necessary to minimize the network contact point between the national defense network and the commercial Internet, and to select a high-priority one among various tasks and operate it efficiently. For this purpose, actual cases were investigated for "A" institution and characteristics were presented. Through the targeted tasks and operation plans to improve the effectiveness of defense tasks and ensure security, presented in this paper, it will be possible to increase the availability of task performance even in non-traditional threats such as infectious diseases.
Proceedings of the Korean Institute Of Construction Engineering and Management
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2008.11a
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pp.572-577
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2008
In order to apply strategic advanced project management to the Korean construction industry, the study conducted a comparative analysis of the project management body of knowledge of the advanced countries such as the USA and Japan as well as Europe. As a result, it was found that the connection to 'execution' of 'strategy' was highlighted as a common main issue in the theoretical background of project management body of knowledge, and strategic planning, which aligns 'program management' based on the integration of multiple project management and operations in single project with 'portfolio management' for selection and concentration, has been emphasized. Accordingly, the study built up the framework for the application of strategic advanced project management for strategic action in the Korean construction industry and proposed the following applicable solutions for implementation into the current Korean construction industry: 1) Innovate global competitiveness by preparing an 'ideology and philosophy' for the strategic action of an organization, 2) Establish a strategic 'environment' in consideration of the culture and structure of an organization, 3) Propose a strategic 'vision' for attaining a realizable goal within an organization, 4) Create an 'investment' on the portfolio in line with the strategy, 5) 'Execute' the program through the portfolio and project management. Lastly, the study brought up strategies for sustainable growth by applying strategic advanced project management to the Korean construction industry with a view to acquiring 'Performance' through the implementation and operation of their integrated system.
Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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v.11
no.2
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pp.157-178
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2013
This study gives a conceptual and basic direction to develop a URL (underground research laboratory) program for establishing the performance and safety of a deep geological disposal system in Korea. The concept of deep geological disposal is one of the preferred methodologies for the final disposal of spent nuclear fuel (SNF). Advanced countries with radioactive waste disposal have developed their own disposal concepts reasonable to their social and environmental conditions and applied to their commercial projects. Deep geological disposal system is a multi-barrier system generally consisting of an engineered barrier and natural barrier. A disposal facility and its host environment can be relied on a necessary containment and isolation over timescales envisaged as several to tens of thousands of years. A disposal system is not allowed in the commercial stage of the disposal program without a validation and demonstration of the performance and safety of the system. All issues confirming performance and safety of a disposal system include investigation, analysis, assessment, design, construction, operation and closure from planning to closure of the deep geological repository. Advanced countries perform RD&D (research, development & demonstration) programs to validate the performance and safety of a disposal system using a URL facility located at the preferred rock area within their own territories. The results and processes from the URL program contribute to construct technical criteria and guidelines for site selection as well as suitability and safety assessment of the final disposal site. Furthermore, the URL program also plays a decisive role in promoting scientific understanding of the deep geological disposal system for stakeholders, such as the public, regulator, and experts.
This study aims to examine the interaction between jazz musicians playing in domestic jazz clubs and audiences visiting jazz clubs in depth. This study conducted an in-depth interview, a qualitative research methodology, to find out the subjective views of jazz club musicians and audiences about jazz club performances, and analyzed the contents and presented the results. The results of this study are as follows: First, jazz musicians perceived jazz clubs as the center point of their musician careers, and from the perspective of the audience, jazz clubs were a place where jazz lovers gathered voluntarily, and where they could enjoy musical communication in a comfortable atmosphere. Second, jazz club performances gave jazz musicians the autonomy to play and considered them suitable for creating optimized sounds, and the audience recognized that jazz musicians could experience performances vividly on stage close to the audience. Third, the way jazz musicians interacted with the audience was active for musical communication with the audience, and the audience preferred the way that interaction could contribute to their performance, and the audience recognized the interaction through musical communication with the musician and the musician's consideration for the audience. Fourth, jazz musicians played a major role in realizing a performance in which interaction with the audience was complete, and audiences perceived interaction as a joy of improvisation, a bond with jazz musicians, and a special experience. This study confirmed the jazz club's status as a cultural space for the public's jazz enjoyment as well as a performance base that ultimately promotes the development and spread of jazz gods in Korea, and it is meaningful that it can serve as a guideline for jazz performance planning and jazz club operation from an art management perspective.
Journal of the Korea Society of Computer and Information
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v.25
no.12
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pp.261-270
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2020
In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify "topics" that are corresponding to "key" technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these "key" technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the "key" promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.
Journal of The Korean Society of Agricultural Engineers
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v.65
no.1
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pp.15-26
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2023
This study aimed to evaluate the performance of water level classification from CCTV images in agricultural facilities such as reservoirs. Recently, the CCTV system, widely used for facility monitor or disaster detection, can automatically detect and identify people and objects from the images by developing new technologies such as a deep learning system. Accordingly, we applied the ResNet-50 deep learning system based on Convolutional Neural Network and analyzed the water level of the agricultural reservoir from CCTV images obtained from TOMS (Total Operation Management System) of the Korea Rural Community Corporation. As a result, the accuracy of water level detection was improved by excluding night and rainfall CCTV images and applying measures. For example, the error rate significantly decreased from 24.39 % to 1.43 % in the Bakseok reservoir. We believe that the utilization of CCTVs should be further improved when calculating the amount of water supply and establishing a supply plan according to the integrated water management policy.
In the daily multi-reservoir operating problem, monthly storage targets can be used as principal operational guidelines. In this study, we tested the use of a simple back-propagation Artificial Neural Network (ANN) model to derive monthly storage guideline for daily Coordinated Multi-reservoir Operating Model (CoMOM) of the Han-River basin. This approach is based on the belief that the optimum solution of the daily CoMOM has a good performance, and the ANN model trained with the results of daily CoMOM would produce effective monthly operating guidelines. The optimum results of daily CoMOM is used as the training set for the back-propagation ANN model, which is designed to derive monthly reservoir storage targets in the basin. For the input patterns of the ANN model, we adopted the ratios of initial storage of each dam to the storage of Paldang dam, ratios of monthly expected inflow of each dam to the total inflow of the whole basin, ratios of monthly demand at each dam to the total demand of the whole basin, ratio of total storage of the whole basin to the active storage of Paldang dam, and the ratio of total inflow of the whole basin to the active storage of the whole basin. And the output pattern of ANN model is the optimal final storages that are generated by the daily CoMOM. Then, we analyzed the performance of the ANN model by using a real-time simulation procedure for the multi-reservoir system of the Han-river basin, assuming that historical inflows from October 1st, 2004 to June 30th, 2007 (except July, August, September) were occurred. The simulation results showed that by utilizing the monthly storage target provided by the ANN model, we could reduce the spillages, increase hydropower generation, and secure more water at the end of the planning horizon compared to the historical records.
Journal of Korean Society of Industrial and Systems Engineering
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v.46
no.spc
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pp.79-88
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2023
This research aims to validate the effectiveness of the "Specialized Entrepreneurship University Program," which was conducted as part of government entrepreneurship support initiatives from 2018 to 2022. Based on previous studies, a research model was derived consisting of three laboratory entrepreneurship support factors that influence program satisfaction and entrepreneurial outcomes (infrastructure support, educational mentoring support, and business linkage support). Surveys were collected and analyzed from 126 laboratory entrepreneurship firms participating in the program, and empirical analysis of the research model was conducted using SPSS 23.0 statistical software. The analysis results indicated that the three variables, namely infrastructure support, educational mentoring support, and business linkage support, were significant factors affecting program satisfaction, and program satisfaction was confirmed to influence entrepreneurial outcomes. Furthermore, it was found that the three business operation factors indirectly influenced entrepreneurial outcomes by partially mediating program satisfaction. This study is considered significant as an empirical study for the initial stage of the second-phase program enhancement, verifying the effectiveness of laboratory entrepreneurship support factors. The findings can be applied to similar government entrepreneurship support initiatives and contribute to the effective strategy and planning of stakeholders involved. The limitations of this study include the need for further research on the perception of the extent to which it contributes to entrepreneurial outcomes, emphasizing caution in interpreting the research model, and the necessity for expanding the survey population and improving survey items in future research.
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