• 한국인터넷방송통신학회논문지
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• 제22권5호
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• pp.63-68
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• 2022

자율주행 기술은 최근 심층 강화학습의 도입으로 큰 발전을 이루고 있다. 심층 강화 학습을 효과적으로 사용하기 위해서는 적절한 활성화 함수를 선택하는 것이 중요하다. 그 동안 많은 활성화 함수가 제시되었으나 적용할 환경에 따라 다른 성능을 보여주었다. 본 논문은 고속도로에서 자율주행을 학습하기 위해 강화 학습을 사용할 때 어떤 활성화 함수를 사용하는 것이 효과적인지 12개의 활성화 함수 성능을 비교 평가한다. 이를 위한 성능 평가 방법을 제시하였고 각 활성화 함수의 평균 보상 값을 비교하였다. 그 결과 GELU를 사용할 경우 가장 높은 평균 보상을 얻을 수 있었으며 SiLU는 가장 낮은 성능을 보여주었다. 두 활성화 함수의 평균 보상 차이는 20%였다.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.164-173
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• 2022

This study aimed to explore the themes and parameters of environmental health behaviors based on Rogers' protection motivation theory through a systematic mapping review. Using a systematic approach, a literature review was conducted of articles that adopted Rogers' protection motivation theory. A total of 11 articles on protection motivation theory using participants and environmental health as outcomes were identified in a search of CINAHL, Cochrane Library, EMBASE, Eric, PsycARTICLES, PubMed, and RISS between September 1 and September 8, 2021. Themes related to the environment and personal behaviors between 2002 and 2021 were extracted. The parameters based on protection motivation theory were identified through systematic mapping as fear appraisal, rewards of maladaptive response, severity, vulnerability, costs of adaptive response, response efficacy, self-efficacy, and intention. Self-efficacy and response efficacy considerably affected environmental health behaviors. Emotional fear appeal related to environmental hazards motivates an internal process that alters the threat appraisal and their coping appraisal. Environmental behavior perception and intention influenced on environmental health behaviors with small effect sizes. Therefore, a deeper understanding of the severity of environmental health issues could lead to the development of helpful, effective, and intensive interventions to promote healthcare among the vulnerable population.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.35-40
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• 2021

The study aimed to realize one of the basic requirements for designing and building the integrated automated system for scientific research at Northern Border University, which includes the establishment of an automated interconnected system to manage all academic and financial operations of scientific research. From receiving the budget of the funded research courses, then the regular financial regulation of all the research team's rewards, the cost of publishing, translation and equipment, then receiving the research plans and linking them financially, preparing the total and detailed financial value for all stages, then financial disbursement operations, financial closure of research when published, and preparing financial reports The research team used the analytical approach to build the main and subsidiary requirements for designing the financial system, and the study concluded that all the elements required for the stages of financial management for scientific research at Northern Border University can be met based on sufficient by sequencing these processes and how they are sequenced as e It is designed in the research study.

• 유통과학연구
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• 제21권3호
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• pp.37-46
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• 2023

Purpose: The article focuses on studying the impact of brand anthropomorphism, and brand love, on brand advocacy, and at the same time the moderate role of brand self-connection in the process of customers' perception of the brand, especially the brand distribution. The survey subjects are customers with millennial consumers in Ho Chi Minh City, who have the behavior of buying brands in the smart mobile device industry many times with a specific brand in terms of brand distribution. Results: The findings show that Brand anthropomorphism and brand love are crucial factors to impact brand advocacy and the role of self-brand connection also is a confirmed positive effect on the relationship between brand anthropomorphism and brand love. Research design, data, and methodology: The article uses quantitative research to test the model and research hypotheses. The way to collect quantitative data is to use questionnaires with 1531 samples in Ho Chi Minh City, Vietnam. Conclusion: The research results can help businesses build a long-term brand strategy and expect to get new rewards and value from customers. They can also add to the theory about the relationship between brands and customers.

• 패션비즈니스
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• 제26권3호
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• pp.155-167
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• 2022

Hanbok, a traditional Korean clothing, became a hip culture for young people in the late 2010s. As hanbok brands for young people appeared and distribution channels changed for them, hanbok appeared on the crowdfunding platform. This study summarized characteristics of hanbok provided as rewards by funding projects in Wadiz, the largest crowdfunding platform in Korea. Results of this study are as follows. First, since the first successful crowdfunding in 2015, it has shown rapidly growth. Second, as a result of examining the name of reward hanbok, 167 reward hanbok appeared. They could be divided into three periods: women's hanbok, unisex hanbok and trendy hanbok period. Third, looking at characteristics of reward hanbok from each period, feminine Chollic onepiece during the women's Hanbok period adopted the feminine interpretation of the original men's Hanbok. Characteristics of reward hanbok during the Unisex Hanbok period are in the direction of the closure. By adopting the direction of the closure of hanbok that both men and women can use, unisex hanbok is appeared. Finally, reward hanbok during the trendy hanbok period reflected trends such as genderless and hip. Hanbok reflected various trends from home culture to COVID-19 that occurred around the world at that time.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.800-807
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• 2009

The limited public funds available for infrastructure projects have led governments to consider private entities' participation in long-term contracts for finance, construction, and operation of these projects to share risks and rewards between the public and the private. Because these projects have complicated risk evolutions, diverse contractual forms for each project member to hedge risks involved in a project are necessary. In light of this, Build-Operate-Transfer(BOT) model is considered as effective to accomplish Public Private Partnerships(PPPs) with a characteristic of an ownership-reversion. In BOT projects, the government has used such an incentive system as minimum revenue guarantee(MRG) agreement to attract the private's participation. Although this agreement turns out critical in success of BOT project, there still exist problematic issues in a financial feasibility analysis since the traditional capital budgeting theory, Net Present Value(NPV) analysis, has failed to evaluate the contingent characteristic of MRG agreement. The purpose of this research is to develop real option model based on option pricing theory so as to provide a theoretical framework in valuing MRG agreement in BOT projects. To understand the applicability of the model, the model is applied to the example of the BOT toll road project and the results are compared with that by NPV analysis. Finally, we found that the impact of the MRG agreement is significant on the project value. Hence, the real option model can help the government establish better BOT policies and the developer make appropriate bidding strategies.

• Journal of Information Technology Applications and Management
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• 제30권1호
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• pp.97-114
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• 2023

The purpose of this study is to derive practical implications by verifying the influence of MSME owners' leadership type and management performance on knowledge management. In addition, we tried to verify the mediating role of knowledge management between the leadership type and management performance of MSME owners. Leadership types were divided into transformational leadership and transactional leadership. Transformational leadership consisted of charisma and inspirational motivation, while transactional leadership consisted of situational rewards and management by exception. For data collection, we conducted a survey targeting workers in small businesses. After excluding insincere data that were inappropriate for analysis, we used the remaining 243 samples for empirical analysis. To test the hypothesis, we adopted regression analysis and three-step mediated regression analysis as analysis methods. As a result of the empirical analysis, all seven hypotheses derived were supported, and the main results are summarized as follows. First, we found that MSME owners' transformational leadership and transactional leadership had a positive effect on knowledge management and management performance. Second, we found that knowledge management of MSME owners had a positive effect on business performance. Third, both transformational leadership and transactional leadership of MSME owners were found to be partially mediated by knowledge management in relation to management performance. Based on these research results, we derived practical implications for MSME owners.

• 임상간호연구
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• 제29권2호
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• pp.175-185
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• 2023

Purpose: The purpose of this study was to investigate the influence of nurses on the nursing intentions in patients with emerging infectious diseases. Methods: Data were collected from 201 nurses with over one year of clinical experience in a general hospital located in Seoul, South Korea. A structured self-report questionnaire was utilized to measure belief factors, core factors, rewards, and nursing professional pride, as well as nursing intentions in patients with emerging infectious diseases. Results: The results revealed that nurses' intentions to provide care for patients with emerging infectious diseases were significantly influenced by perceived behavioral control (β=.26, p<.001), clinical experience (β=-.14, p=.008), behavioral beliefs (β=.31, p=.010), feeling of vocation (β=.29, p=.012) and attitudes toward behaviors (β=.08, p=.034). Conclusion: Enhancing nurses' intentions to provide care for patients with emerging infectious diseases requires the implementation of systemic and educational strategies aimed at strengthening their confidence and beliefs.

• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3277-3290
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• 2023

Nuclear power plant (NPP) operations with multiple objectives and devices are still performed manually by operators despite the potential for human error. These operations could be automated to reduce the burden on operators; however, classical approaches may not be suitable for these multi-objective tasks. An alternative approach is deep reinforcement learning (DRL), which has been successful in automating various complex tasks and has been applied in automation of certain operations in NPPs. But despite the recent progress, previous studies using DRL for NPP operations have limitations to handle complex multi-objective operations with multiple devices efficiently. This study proposes a novel DRL-based approach that addresses these limitations by employing a continuous action space and straightforward binary rewards supported by the adoption of a soft actor-critic and hindsight experience replay. The feasibility of the proposed approach was evaluated for controlling the pressure and volume of the reactor coolant while heating the coolant during NPP startup. The results show that the proposed approach can train the agent with a proper strategy for effectively achieving multiple objectives through the control of multiple devices. Moreover, hands-on testing results demonstrate that the trained agent is capable of handling untrained objectives, such as cooldown, with substantial success.

• 한국건설관리학회논문집
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• 제24권5호
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• pp.73-82
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• 2023

Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.