• Health Policy and Management
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• v.14 no.3
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• pp.45-65
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• 2004

The rapid increase in PET devices and its utilization in Korea necessitates relevant health insurance policies based on scientific evidence, including economic evaluation of PET in clinical conditions. However, there is very little amount of evidence regarding PET, and the first step would be to establish research priorities to give a momentum for research and assure efficient use of research capacities. To this end, we conducted a two-round Delphi study, which produced stable consensus on about top 10 oncology indications for research, which included lymphoma staging, colorectal cancer recurrence/restaging, lung cancer staging, and other conditions. The results were largely consistent with current U.S. Medicare reimbursement indications and are expected to lead to relevant researches and evidence-based health policies on PET reimbursement and regulation.

• Knowledge Management Research
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• v.19 no.1
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• pp.97-118
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• 2018

The finance-investment industry is currently focusing on research related to artificial intelligence and big data, moving beyond conventional theories of financial engineering. However, the case of equity optimization portfolio by using an artificial intelligence, big data, and its performance is rarely realized in practice. Thus, the purpose of this study is to propose process improvements in equity selection, information analysis, and portfolio composition, and lastly an improvement in portfolio returns, with the case of an equity optimization model based on quantitative research by an artificial intelligence. This paper is an empirical study of the portfolio based on an artificial intelligence technology of "D" asset management, which is the largest domestic active-quant-fiduciary management in accordance with the purpose of this paper. This study will apply artificial intelligence to finance, analyzing financial and demand-supply information and automating factor-selection and weight of equity through machine learning based on the artificial neural network. Also, the learning the process for the composition of portfolio optimization and its performance by applying genetic algorithms to models will be documented. This study posits a model that the asset management industry can achieve, with continuous and stable excess performance, low costs and high efficiency in the process of investment.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2003.05a
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• pp.225-230
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• 2003

Many port states such as New Zealand, the USA, Australia and Canada have strict regulations to prevent ships which arrive in their port from discharging polluted ballast water which contain harmful aquatic organisms and pathogens. They are notified that transfer of polluted ballast water can cause serious injury to public health and damage to property and environment. For this reason, they perceived that the ballast exchange in deep sea is the most effective method, together with submitting the ballast management plan which contains the effective exchange method, ballast system and safety consideration. In this study, we make an effort to develop optimum ballast water exchange management and in result of that, it provide more convenient and stable process for preparing ballast water management plan.

• KSCI Review
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• v.14 no.1
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• pp.185-196
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• 2006

IIn this paper, we developed e-Leaning system based on open source software. We selected the Moodle that after compared the open source learning management systems. Moodle is APM(Apache, PHP, MySQL) based learning management system(LMS) support SCORM(Sharable Content Object Reference Model), a software package designed to help educators create quality online courses. One of the main advantages of Moodle over other systems is a strong grounding in social constructionist pedagogy. Also we integrated Moodle and legacy systems such as streaming service, webhard service, and short message service. Therefore this research showed that open source based e-Learning system include learning management system is stable and possible.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.2
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• pp.1-13
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• 2021

Purpose: This study analyzed the general status and conditions of the kimchi industry in Korea. The purpose of this study is to contribute to the information of a desirable kimchi market by analyzing the distribution, price, market, and consumers of kimchi based on the current status and status of the kimchi industry in Korea. Research design, data and methodology: This study basically conducted research design and analysis based on theoretical consideration and kimchi market data. Results: The conclusion of the study is that in order to globalize kimchi, it is expected that a strategy to target overseas markets with relatively low competition through a low-salt diet and premium strategy along with the image of Western health is expected. Conclusions: In Korea, small and medium-sized companies can target the B2B (Business-to-Business) market first and then target department stores or convenience stores at a stable time in the future to expand sales channels and profitability through premium or low-cost policies. Another strategy is to target overseas markets as soon as the company stabilizes through B2B. Therefore, in the kimchi industry, it is necessary to establish a sales/marketing strategy according to what position and position of one's own company in the kimchi industry.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3235-3241
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• 2022

The Korea Atomic Energy Research Institute (KAERI) is planning the construction of the KIJANG Research Reactor (KJRR) for stable supply of ⁹⁹Mo. The Fission ⁹⁹Mo Production Process (FMPP) of KJRR produces solid waste such as spent uranium cake and alumina cake, and liquid waste in the form of intermediate level liquid waste (ILLW) and low level liquid waste (LLLW). This study thus established the operating range and optimum operating conditions for the cementation of ILLW from FMPP. It also evaluated whether cement waste form samples produced under optimum operational conditions satisfy the waste acceptance criteria (WAC) of a disposal facility in Korea (Korea radioactive waste agency, KORAD). Considering economic feasibility and safety, optimum operational conditions were achieved at a w/c ratio of 0.55, and the corresponding salt content was 5.71 wt%. The cement waste form samples prepared under optimum operational conditions were found to satisfy KORAD's WAC when tested for structural stability and leachability. The results indicate that the proposed cementation conditions for the disposal of ILLW from FMMP can be effectively applied to KJRR's disposal facility.

• Industry Promotion Research
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• v.8 no.2
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• pp.177-185
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• 2023

Logistics companies have rapidly developed as an important component of economic activities, but due to the special performance management method of logistics companies, problems in performance evaluation are emerging. This paper presented a strategy for improving performance by analyzing the management performance of 19 listed logistics companies in China. Operating expenses, R&D expenses, labor costs, and general management expenses were adopted as input variables, and operating profit and net profit were adopted as output variables. DEA efficiency was assessed by the BBC model from 2016 to 2021 using DEAP 2.1 software. As a result of analyzing the annual management performance, some listed logistics companies showed stable and forward-looking performance results.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1135-1155
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• 2023

Management of the workforce in the early career stage who enter information security work after graduating from college or university so that they can continue to develop their information security careers without leaving the organization can be a solution to the problem of absolute shortage of staffing and lack of skills. This is because the workforce can improve their job skills, and organizations can build a stable, cost-effective human resource management system. This paper constructed and verified a turnover intention research model focusing on the factors that affect the turnover intention of early-stage workforce who took their first steps in society as an information security workforce after graduating from university or college; it confirmed that self-realization is a crucial factor. Furthermore, with in-depth interviews, the career path information of skilled workers, which is essential information necessary for self-realization, was analyzed, and the direction of HRM for self-realization of the workforce in the early career stage was presented.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.40-47
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• 2024

As environmental concerns escalate, the increase in recycling of aluminum scrap is notable within the aluminum alloy production sector. Precise control of essential components such as Al, Cu, and Si is crucial in aluminum alloy production. However, recycled metal products comprise various metal components, leading to inherent uncertainty in component concentrations. Thus, meticulous determination of input quantities of recycled metal products is necessary to adjust the composition ratio of components. This study proposes a stable input determination heuristic algorithm considering the uncertainty arising from utilizing recycled metal products. The objective is to minimize total costs while satisfying the desired component ratio in aluminum manufacturing processes. The proposed algorithm is designed to handle increased complexity due to introduced uncertainty. Validation of the proposed heuristic algorithm's effectiveness is conducted by comparing its performance with an algorithm mimicking the input determination method used in the field. The proposed heuristic algorithm demonstrates superior results compared to the field-mimicking algorithm and is anticipated to serve as a useful tool for decision-making in realistic scenarios.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.99-113
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• 2023

In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.