• Title/Summary/Keyword: Operation Strategies

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Adaptive Multi-class Segmentation Model of Aggregate Image Based on Improved Sparrow Search Algorithm

  • Mengfei Wang;Weixing Wang;Sheng Feng;Limin Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.391-411
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    • 2023
  • Aggregates play the skeleton and supporting role in the construction field, high-precision measurement and high-efficiency analysis of aggregates are frequently employed to evaluate the project quality. Aiming at the unbalanced operation time and segmentation accuracy for multi-class segmentation algorithms of aggregate images, a Chaotic Sparrow Search Algorithm (CSSA) is put forward to optimize it. In this algorithm, the chaotic map is combined with the sinusoidal dynamic weight and the elite mutation strategies; and it is firstly proposed to promote the SSA's optimization accuracy and stability without reducing the SSA's speed. The CSSA is utilized to optimize the popular multi-class segmentation algorithm-Multiple Entropy Thresholding (MET). By taking three METs as objective functions, i.e., Kapur Entropy, Minimum-cross Entropy and Renyi Entropy, the CSSA is implemented to quickly and automatically calculate the extreme value of the function and get the corresponding correct thresholds. The image adaptive multi-class segmentation model is called CSSA-MET. In order to comprehensively evaluate it, a new parameter I based on the segmentation accuracy and processing speed is constructed. The results reveal that the CSSA outperforms the other seven methods of optimization performance, as well as the quality evaluation of aggregate images segmented by the CSSA-MET, and the speed and accuracy are balanced. In particular, the highest I value can be obtained when the CSSA is applied to optimize the Renyi Entropy, which indicates that this combination is more suitable for segmenting the aggregate images.

Community-Based Participatory Project to Reduce Health Disparity: Focusing on the Residents' Autonomy Council (<사례보고> 건강격차 해결을 위한 주민참여형 보건사업: 주민자치회 중심 전략개발)

  • Nam-Soo Hong;Keon-Yeop Kim
    • Journal of agricultural medicine and community health
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    • v.48 no.3
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    • pp.165-177
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    • 2023
  • Objectives: The objective of this study was to develop strategies aimed at reducing disparity of physical activity in urban community. Methods: The study was conducted in a urban vulnerable area, focusing on the establishment and operation of a community health organization through the residents' autonomy council. Training programs were provided to the members of the council to enhance their capabilities. The research project was planned and implemented using a living lab approach. Based on these activities, the health division of residents autonomy council was newly established. Results: The findings demonstrated the potential and feasibility of utilizing the residents' autonomy council as a community-led health organization. A health project model centered on the health division of the residents' autonomy council was developed. Conclusions: This study concluded that it is possible to effectively promote health projects to reduce the health disparity through the resident-led participation strategy on the residents' autonomy council in the community.

South-South Collaborations: A Policy Recommendation Model for Sustainable Win-Win Infrastructure Partnerships Based on Sino - Ghana and Nigeria Case.

  • Eshun, Bridget Tawiah Badu;Chan, Albert P.C.;Oteng, Daniel;Antwi-Afari, Maxwell Fordjour
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.33-41
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    • 2022
  • Infrastructure procurement has been a major engagement route between China and Africa. This contributes immensely to the gradual infrastructure development seen on the continent. However, maturing discourse purports that these infrastructure collaborations lack intentionality in the continuous development of strategic guidelines and policies for effective implementation despite their uniqueness and criticality. This study proposes that an efficient approach to policy recommendations is through the political and economic analysis (PEA) of these partnerships using public-private partnership (PPP) optics. Unquestionably, these partnerships are representative of the concept of diplomatic transnational public-private partnership (DT-PPP) where infrastructure is procured through the collaboration of public (African governments) and private sector (Chinese state-owned corporations) who provide the managerial, financial, and technical resources for the project implementation. Given the quest for sustainable win-win, this study identifies strategies towards the realization of win-win in the implementation (i.e enablers of win-win) such that fairness and co-benefit, as well as interests, will be achieved. Thus, based on the PEA framework, case scenarios from Ghana and Nigeria using expert interviews identify the criticalities and best practices for the realization of these enablers at the development phase. Findings indicate more effort is required of the public sector (African host countries) in terms of people, structure/institutions, and the implementation processes. Recommendations include improvement of environmental management structures, contract administration procedures, external stakeholders/local community engagement mechanisms, knowledge and technology transfer procedures, and sector-based project operation and maintenance culture and systems. Additionally, actors must have emotional intelligence, good problem-solving abilities, and overall ensure cordial relationships for continued bilateral cooperation.

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Analysis of YouTube Trending Video Dataset by Country and Category (YouTube 인기 급상승 동영상 데이터셋의 국가별-카테고리별 분석)

  • Jung, Jimin;Kim, Seungjin;Jung, Sungwook;Lee, Dongyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.209-211
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    • 2022
  • YouTube, a video platform used by millions of people worldwide, provides a rapidly growing video service. This study aims to understand the characteristics and cultural differences of each country using the Kaggle dataset, one of the public datasets, and to show the usefulness of the public dataset. For this purpose, we analyze data from 11 countries, 15 categories, and about 1.1 million trending videos. This study adopts Python to obtain the number of videos by category for data analysis, the selection period of videos rapidly increasing in popularity, and the ratio of unique videos. In the future, based on machine learning, we plan to research to help diagnose individual videos and establish channel operation plans and strategies by predicting the selection possibility and selection period based on machine learning.

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Planning and Establishment of Sejong City Smart City (세종시 스마트시티 구상 및 수립 방안)

  • Park, Jungsu;Jung, Hanmin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.161-163
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    • 2021
  • This urban centralization is expected to develop rapidly, with 75% of the population living in the city by 2035. Large cities are becoming unsustainable due to side effects such as environmental pollution, severe traffic jams, excessive energy depletion, and destruction of the natural ecosystem. In addition, the happiness index of citizens of large cities is also falling because of high crime rates and safety accidents, the work-life imbalance caused by inequality and polarization, and overly competitive education. To solve this problem, Smart City, an IT-based future city model, was born. The Korean government is also actively attempting to improve urban competitiveness and promote sustainable development through efficient construction and operation of smart cities as a national focus project. To support the effort, we review the basic directions and strategies of Sejong City's Smart City service infrastructure based on the comprehensive national land plan, Smart City plan, and Smart City strategy plan.

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Evaluation of Energy Loads for Broiler-Standard Design Models Using a Building Energy Simulation Method (건물에너지시뮬레이션 기법을 이용한 육계사 표준설계모델의 에너지 부하 산출)

  • Kwon, Kyeong-seok;Yang, Ka-young;Kim, Jong-bok;Jang, Dong-hwa;Ha, Taehwan;Jeon, So-ra
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.1
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    • pp.27-39
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    • 2023
  • This study was to quantitatively evaluate periodic and maximum energy loads for broiler-standard design models by the Ministry of Agriculture, Food and Rural Affairs (2016). Building energy simulation method was used to compute heating and cooling loads of the designed broiler houses according to regional locations and insulation characteristics of wall and roof. It considered sensible and latent heat generation from broilers, dynamic operation of ventilation system according to environment variations. It was found that variation of periodic heating loads was relatively higher than that of periodic cooling loads according to thickness changes of wall and roof. Assuming that broiler was raised at every even-month, periodic heating and cooling loads were 6 and 18% lower, respectively than odd-month raising condition. When recommendation rules of insulation characteristics (wall and roof thickness) by the Ministry of Land, Infrastructure and Transport was adopted, periodic heating load of Jeju-si was 20.3% higher than national average values. Based on the BES computed periodic and maximum energy loads under the designed experimental condition, these results can contribute to reestablishing standard design of broiler houses, especially for insulation characteristics, and designing management strategies for efficient energy uses.

A Design and Demonstration of Future Technology IT Humanities Convergence Education Model (미래기술 IT인문학 융복합 교육모델 설계 및 실증)

  • Eunsun Choi;Namje Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.159-166
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    • 2023
  • Humanities are as crucial as the technology itself in the intelligent information society. Human-centered convergence information technology (IT), which reflects emotional and human nature, can be considered a unique technology with an optimistic outlook in the unpredictable future. Based on this research background, this paper proposed an education model that can improve the IT humanities capabilities of various learners, including elementary and secondary students, prospective teachers, incumbent teachers, school managers, and the general public, through analysis of previous studies on convergence education models. Furthermore, the practical aspects of the proposed model were closely examined so that the proposed education model could be stably incorporated and utilized in the educational field. There are seven strategies for implementing the education model proposed in this paper, including research on textbooks, teaching and learning materials, activation of research results, maker space creation, global joint research, online education operation, developing living lab governance, and diversification of self-sustaining platforms for sustainable and practical education. In the future, validity verification through expert Delphi is required as a follow-up study.

Exploring the Operating and Supporting Direction of AI Curriculum by Analyzing A High School Case Study

  • Sungryong Ju;Seulgi Song;Seung-Bo Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.175-186
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    • 2023
  • This study was conducted to explore the necessary conditions and support for stable operation of an expanded AI curriculum in education. A high school that has implemented an AI curriculum since 2020 was targeted, and students and teachers were surveyed on their perceptions of the AI curriculum, implementation and support strategies. The survey items were categorized into 1) experience with AI education, 2) implementation direction of AI education, and 3) expected effects through AI education, and the results were derived focusing on frequency analysis to identify trends. The analysis resulted in three implications. First, it was suggested that the activation of AI education. Second, the need to develop a hands-on AI curriculum and incorporate AI throughout the entire curriculum was highlighted. Third, it was emphasized that efforts to enhance the capabilities of teachers to implement AI teaching and learning, along with the expansion of physical infrastructure for hands-on education, are necessary.

A Comparative Study of R&D Transfer by Multinational Corporations between Korea and China (다국적기업의 R&D 이전에 관한 한·중 비교연구)

  • Shin, Geon-cheol;Park, Young-hee;Lee, Heung-youn
    • International Area Studies Review
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    • v.13 no.1
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    • pp.309-340
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    • 2009
  • Multinational Corporations (MNCs) are increasingly establishing globally-distributed R&D (Research and Development) centers in which sites around the world work collaboratively to develop new manufacturing and product technologies. Following new globalization strategies, these projects more often include sites in Emerging/Newly Industrializing Economies (E/NIEs). The success of these ventures promises to be increasingly important both for the bottom line of MNCs and for the development ambitions of E/NIEs. This study attempts to identify these trends and to compare R&D transfer between Korea and China. The study identifies specific factors on MNC's R&D transfer and compares those operating factors between the R&D centers in Korea and China, which attract many MNCs in the world. Among those eight dimensions relating to MNCs' operation, there are significant differences in site selection, market characteristics, government support, and R&D networking between Korea and China. The analysis show more positive factors on China than Korea regarding R&D operations. The result will be helpful for both MNC's managers and governments' decision makers with respect to R&D transfer.

Global Marketing Strategies of INNOCEAN Worldwide "Global Marketing Company, INNOCEAN Worldwide"

  • Chu, Kyounghee;Lee, Doo-Hee;Lee, Jong-Ho;Yoo, Weon Sang
    • Asia Marketing Journal
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    • v.14 no.3
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    • pp.137-151
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    • 2012
  • Established in May 2005, INNOCEAN Worldwide started as an affiliate marketing and communications company of the Hyundai Motor Group and grew into a top agency ranked no. 2 in the South Korean market within seven years. Currently, INNOCEAN Worldwide has become a global company, operating in sixteen countries through four regional headquarters, fifteen overseas subsidiaries, and seven branch offices with more than 1,100 employees. The company holds top clients from finance, electronics, telecommunications, food, retail, education and other various industries. The accomplishment of INNOCEAN Worldwide can be summarized by the following five key factors. The first factor is INNOCEAN Worldwide's strong and enduring passion and commitment to enter the global market and to build and strengthen its global network. The second factor is achieving successful localization through recruiting talented employees for its overseas branches directly from the local workforce, which enables the company to overcome language barriers, cultural differences, and creative gaps among different regional markets. Third is the company's effective implementation of the 'Global Resource Remix' strategy, which incorporates the distinctive competencies of each overseas operation as a global company standard. Fourth is the creation of the 'Discover System,' a global knowledge management system enabling overseas offices worldwide to share each other's accumulated knowledge and experiences. The fifth factor is the successful establishment of INNOCEAN Worldwide's unique Total Marketing Solution Service. Through this service, the company has offered integrated consulting services for strategic brand management to solve various marketing problems. In summary, the passion and commitment of INNOCEAN Worldwide's top management for the company's globalization and the supporting system that enables such commitment have made it possible for the company to take a global leap and become not merely a company with global operations but a truly global company.

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