• Journal of East Asia Management
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• v.3 no.1
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• pp.11-23
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• 2022

Under the circumstances of China's slower economic growth, the first document ofthe central committee of the CPC continue to focus on "three agricultures" problems, agriculture play a basic role on China's economic. Since 2007, the first document directly stresses the important role of agricultural and fisheries every year. Central Government Working Report of 2015 also stresses that under the new normal of economy, it is important to improve quality and efficiency of agriculture. Agricultural focus going forward will be on improving capacity of competitiveness, innovation and sustainable development.The fishery as an important part of agriculture plays a vital role in the protection of national food security, the prosperity of the rural economy and the optimization of national food structure. However, the situation faced on accelerating the speed of Chinese fisheries is still grim. As an important fishery breeding city in my country, Weihai has achieved remarkable results in the development of fisheries. Based on the input-output indicators of Weihai City from 2010 to 2020, this article uses the DEA model method to conduct a comprehensive analysis of the factors affecting the fishery production efficiency in Weihai City. This paper calculates the two stages of comprehensive efficiency, pure technical efficiency and scale efficiency, and comprehensive compares the two stages. The research results show that: From 2010 to 2020, the average comprehensive technical efficiency of Weihai fishery was 0.928, the average scale efficiency was 0.963, and the average pure technical efficiency was 0.963. The comprehensive technical efficiency of Weihai fishery production showed an upward and downward trend, the pure technical efficiency showed a downward and then upward trend, and the pure technical efficiency showed a fluctuating trend.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.137-146
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• 2021

Recently, public participation in government policy design has been further expanded and public services perceived by users are expanding. At this time, the role of the digital government and the direction of the service to be pursued are user-centered, and above all, it is necessary to focus on the keywords of pre-emptive, preventive, and customized. In order to propose service quality improvement in the public sector, service user-centered classification and monitoring are integrated and the usability of government documents is improved. It is necessary to identify the needs of whether to provide a path for public participation. In the post-corona era, people are accessing quarantine information from the digital government every day. The government should proactively respond to the acceleration of digital transformation and the non-face-to-face demands of the people who experience non-face-to-face daily life. In order to evolve into a smart organization along with the innovation promotion plan and to provide customized services, it is necessary to use existing guides for institutional and technical improvement, along with new technology and data-based analysis, to strive for change management. The government should seek counter-measures that have advanced one step ahead by incorporating new high-tech IT with user-centered necessary services. This study aims to derive improvement plans to provide user-centered digital government service design when designing public services and collecting public opinions. Based on the e-government development model research and the existing research on user-centered service design in the public sector, institutional and technical measures are provided for the improvement of digital government service design.

• Journal of Radiation Protection and Research
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• v.47 no.3
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• pp.111-133
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• 2022

The exciting advancement related to the "modeling of digital human" in terms of a computational phantom for radiation dose calculations has to do with the latest hype related to deep learning. The advent of deep learning or artificial intelligence (AI) technology involving convolutional neural networks has brought an unprecedented level of innovation to the field of organ segmentation. In addition, graphics processing units (GPUs) are utilized as boosters for both real-time Monte Carlo simulations and AI-based image segmentation applications. These advancements provide the feasibility of creating three-dimensional (3D) geometric details of the human anatomy from tomographic imaging and performing Monte Carlo radiation transport simulations using increasingly fast and inexpensive computers. This review first introduces the history of three types of computational human phantoms: stylized medical internal radiation dosimetry (MIRD) phantoms, voxelized tomographic phantoms, and boundary representation (BREP) deformable phantoms. Then, the development of a person-specific phantom is demonstrated by introducing AI-based organ autosegmentation technology. Next, a new development in GPU-based Monte Carlo radiation dose calculations is introduced. Examples of applying computational phantoms and a new Monte Carlo code named ARCHER (Accelerated Radiation-transport Computations in Heterogeneous EnviRonments) to problems in radiation protection, imaging, and radiotherapy are presented from research projects performed by students at the Rensselaer Polytechnic Institute (RPI) and University of Science and Technology of China (USTC). Finally, this review discusses challenges and future research opportunities. We found that, owing to the latest computer hardware and AI technology, computational human body models are moving closer to real human anatomy structures for accurate radiation dose calculations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.877-883
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• 2021

Artificial intelligence technology is widely used in industrial and smart home fields such as manufacturing robots, artificial intelligence speakers, and robot vacuum cleaners. In this paper, we designed and implemented a 1:1 chatbot system based on artificial intelligence for use in RCMS (Real-time Cash Management System). The RCMS chatbot implemented in this paper was constructed with a total of 210 query scenarios in nine areas, including research expenses and system usage, based on 13,500 questions and answers from existing online bulletin boards. The chatbot is expected to solve the problem of insufficient number of counselors and to increase user satisfaction by responding to the researcher's inquiries after working hours, and the recommendation service for the cost of use, which had the most inquiries from researchers, reduces the number of consultations. It is expected to improve the quality of answers to other counseling inquiries.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1103-1110
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• 2022

The old machine tools that have been used for a long time cause both increase in defective rate and decrease in productivity compared to new machines due to wear and failure of their components. In order to improve productivity and quality of machined components through remanufacturing, it is necessary to analyze the wear and failure of major components of old machine tools. In this study, the process for reverse engineering is designed for the remanufacture of planner millers, which belong to a very large machine tool. Also, the suitability of the designed process is verified through the analysis of the selected remanufactured components. In the first step of the process, some major components of the aging planner miller are scanned using a 3D laser scanner. In the next step, reverse engineering is performed using the data obtained through 3D scanning. Finally, wear and failure analysis is performed by comparing the reverse engineering data with the scan data. As a result, this reverse design and wear analysis can complement the insufficient design database and reduce costs in the maintenance of remanufactured products.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.127-136
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• 2022

As technological development continues, platforms with more diverse structures are emerging. Existing research predicts that a new structure based on technology and innovation will affect the two-sided market. This study evaluated the decentralized identifier (DID) platform, a new platform based on blockchain technology, of the importance of this platform from the perspective of the two-sided market. Using the Analytic Network Process, IT, platform, and blockchain experts conducted a dual comparison survey. Data with a consistency ratio value of 0.1 or less were selected and analyzed for 12 data. The research results showed the importance of service quality, policy support, openness, and uncertainty. This study is expected to be used to support the development of strategic decision-making for blockchain and DID platform-based business companies.

• Asia Marketing Journal
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• v.8 no.3
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• pp.101-121
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• 2006

This case study explores various marketing strategies of Grundfos Pumps Korea Inc. that has become a front-runner in the industrial pump market of Korea as the enterprise that got into the business later. Grundfos Group, a multinational company with its head office in Denmark, has acknowledged diversity of each country and has granted its subsidiary companies with discretionary power so that they can establish marketing strategies suitable for the market they were competing in. Grundfos Pumps Korea has been very successful in its localization and differentiation of marketing strategies. First, Grundfos Pumps Korea achieved the trust of their customers by its high quality and consistent pricing strategies and has expanded its market very successfully with continuous product innovation and new product ideas. Second, it increased its brand awareness and recognition by brand differentiation along with the product differentiation strategy, which is exceptional in industrial market. It has conducted creative marketing activities and strategies to build brand equity and successful customer relationship management.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.729-738
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• 2023

This study aimed at examining the relationship among organizational learning competency, organizational commitment, protean career attitude, and organizational innovativeness as perceived by university faculties and staff as organizational innovation becomes a key challenge for universities to thrive for strengthening competitiveness. The analysis results are as follows. First, organizational learning capabilities showed a positive effect on organizational innovativeness. Second, organizational learning capabilities had a positive effect on organizational commitment. Third, organizational commitment had a positive effect on organizational innovativeness. Fourth, in the relationship between organizational learning competency and organizational innovativeness, organizational commitment showed a mediating effect and protean career attitude showed a moderating effect. Through this study, The results implies that universities should provide organizational environment to enhance organizational commitment of university faculties and develop protean career attitude thrive in changing environment.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.729-736
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• 2023

With the full-fledged start of the 4th Industrial Revolution, the quality of administrative services through intelligent information technology and demand increased rapidly. Accordingly, the government is in full swing to establish a "digital platform government" through digital innovation in existing e-government operations such as organizational operations and administrative services. As local governments also promoted the establishment of a digital-based Agile government as a key strategy, this study investigated and analyzed the operation of informatization experts in metropolitan and basic local governments to support digital transformation policies and projects through intelligent informatization. Through this, the necessity and implications of expanding the size of human resources for successful digital transformation were derived, and two measures were proposed to enhance capabilities and expertise in the process of securing new manpower.

• The Journal of Korean Medicine
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• v.44 no.3
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• pp.59-73
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• 2023

Objectives: The role of physician-scientists who bridge the gap between basic science and clinical medicine is crucial in advancing medical innovation. This study aims to examine the educational and research environment and career satisfaction of graduate students in Korean Medicine among those who are Korean medicine doctor (KMD). Methods: This study analyzed the results of a survey consisting of respondents' composition, job status, graduate education and job satisfaction, economic conditions, career determinants, and obstacles to the career path of KMD-scientists from 65 participants including both full-time and part-time graduate students. Results: The results revealed significant differences between full-time and part-time graduate students in terms of weekly hours spent and job priorities, motivation for entering graduate school, career preferences, and desired career paths. The study highlights the need for tailored support for full-time and part-time graduate students and the importance of economic assistance in fostering KM scientists. Economic difficulties were identified as a major obstacle for full-time graduate students pursuing research careers. Tuition fees were found to be a significant burden for all graduate students. Furthermore, it emphasizes the importance of enhancing the research capabilities of part-time graduate students and improving the quality of education to foster KMD-scientists. Conclusion: This research provides essential insights for Korean Medicine colleges and graduate schools to develop targeted improvement plans and effectively train KMD-scientist.