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A Study on Trade Structure after Korea and Colombia FTA (한·콜롬비아 FTA체결이후 교역구조 변화에 관한 연구)

  • Park, Chong-Suk
    • Asia-Pacific Journal of Business
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    • v.12 no.4
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    • pp.299-312
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    • 2021
  • Purpose - The purpose of this study is to analyze Trade Structure after Korea and Colombia FTA, and identify its problems and suggest measures that can be taken by the government and corporations to reinforce economic cooperation. Design/methodology/approach - To improve the level of contribution of the study, an empirical analysis is necessary. However, due to limited data access, the study will approach the topic of trade relations between Korea and Colombia with various statistics and literature. Findings - First, there is an urgent need for changes in import-export goods between Korea and Colombia, as trade is focused on specific items. Second, although foreign direct investment from Korea to the Colombia is centered in manufacturing and wholesale & retail, there should be different investment strategies by industries. Third, it is necessary to reinforce commercial cooperation. Research implications or Originality - The Free Trade Agreement between Korea and Colombia entered into force in 2016. Under the agreement, both countries will eliminated all tariffs within ten years after it takes effect. Reinforcing economic cooperation with Colombia is extremely important for Korea in terms of entering and dominating Colombian market. However, there is still a lack of research on the Colombia, and corporations that aim to enter Colombian market face difficulties due to lack of information. This study analyzes the recent trends of problems of trade between Korea and Colombia and suggests solutions for boosting trade to provide proper strategic guidelines for Korea that are planning to expand to Colombian market.

A Study on the System for measuring the Activity of Honeybees inside and outside the Beehive

  • Kim, Joon Ho;Han, Wook;Chung, Wonki;Mo, Changyeon;Han, Xiongzhe;Kim, Subae
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.511-517
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    • 2022
  • Recently, due to rapid climate change, the population of honey bees has decreased, posing a great threat to the existence of the Earth's ecosystem. In particular, the colony collapse phenomenon in which bees disappeared nationwide in early 2022 had devastating consequences for beekeepers. In order to solve the problems of beekeeping due to climate change, it is urgent to develop a system that can monitor the situation inside the hive through various IoT sensors. This paper develops a system that can measure the activity of bees inside the hive and uses it to measure the number of times of entry and exit of the hive. The data measured by the developed system can be monitored in real time on a smartphone through the cloud server. The system developed in this paper can monitor the ecology of bees according to climate change and measure internal and external bee activities. Using this method, it is possible to check in advance for the colony collapse phenomenon in which bees disappeared in early 2022. This is very meaningful in that it presents an alternative that can identify the cause of the problem through early detection.

Study of a Online Survey System for Monitering of Construction Cost on Construction Site (건설현장 시장가격 모니터링을 위한 온라인 상시조사에 관한 기초연구)

  • Lee, Ju-hyun;Baek, Seung Ho
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.06a
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    • pp.202-203
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    • 2020
  • Unlike price calculation by cost accounting, which categorizes costs into material costs, labor costs, and miscellaneous expenses to determine the construction budget price, construction cost calculation based on Construction Standard Unit Prices utilizes unit prices extracted from market prices of items from projects already completed to estimate costs of similar construction projects. Although unit price information is collected through construction site surveys to revise these construction standard unit prices every year, but due to the limitations of the site survey method, it is difficult to quickly implement the rapid changes in the construction methods and market prices. As such, an important issue that arose was the identification of work items whose prices need urgent revision. This study conducted research on factors that need to be considered when developing online survey system for monitoring construction site market prices. This study is expected to enhance convenience for users, and provide an efficient data collection and management system for administrators.

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An Economic Perspective on Food Security

  • Seung-Ryong Yang
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.9-9
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    • 2022
  • The concept of food security has gained increasing attention during the food crisis period between 2006 and 2011. According to the FAO, food security is defined as an access by all people at all times to the food needed for healthy and active life. Achieving food security means that sufficient food is available, food supply is relatively stable, and those in need of food can afford food at a reasonable cost. After a short period of stable food prices the world is facing another food crisis due mainly to the COVID-19 pandemic and the Russian invasion over Ukraine. Food security has re-emerged as an urgent problem to the world. There have been two conflicting opinions about how to achieve food security. Agricultural exporting countries insist diversification of food sources and freer trade on the top of domestic self-reliance. On the other hand, food importing countries emphasize self-sufficiency of major food crops. This study investigates whether domestic agricultural production contributes to strengthening food security. The panel data analysis shows that the increase in food self-sufficiency raises the Global Food Security Index and lessens the probability of food riots, while lower import tariffs (implying freer trade) do not. Some related issues are discussed accordingly.

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Experiences of Life Changes and Loneliness among Rural Older Adults During the COVID-19 Pandemic: A Qualitative Study (코로나19 팬데믹 기간 동안 농촌 지역 노인들의 삶의 변화와 외로움 경험에 대한 질적연구)

  • Kang, Jiyoung;Jung, Aeri
    • Journal of Korean Academy of Rural Health Nursing
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    • v.18 no.2
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    • pp.125-133
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    • 2023
  • Purpose: This study aimed to understand and explore the experiences and meanings of life changes and loneliness caused by the coronavirus disease (COVID-19) among older people living in rural areas. Methods: This study adopted an individual interview approach. A total of 33 older adults were interviewed using semi-structured questions between October and December; 2020. The collected data were analyzed using thematic analysis. Results: Four main themes and ten sub-themes emerged. One main theme was "the never-ending anxiety of a changed world", the second theme was "disconnecting from the world through social distancing", the third theme was "working to overcome COVID-19", and forth "health is the most important thing in life." Conclusion: Based on the results of this study, we confirmed the urgent need for psycho-social support to relieve loneliness and social isolation of older people in rural areas during the spread of infectious diseases.

Adversarial Attacks and Defense Strategy in Deep Learning

  • Sarala D.V;Thippeswamy Gangappa
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.127-132
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    • 2024
  • With the rapid evolution of the Internet, the application of artificial intelligence fields is more and more extensive, and the era of AI has come. At the same time, adversarial attacks in the AI field are also frequent. Therefore, the research into adversarial attack security is extremely urgent. An increasing number of researchers are working in this field. We provide a comprehensive review of the theories and methods that enable researchers to enter the field of adversarial attack. This article is according to the "Why? → What? → How?" research line for elaboration. Firstly, we explain the significance of adversarial attack. Then, we introduce the concepts, types, and hazards of adversarial attack. Finally, we review the typical attack algorithms and defense techniques in each application area. Facing the increasingly complex neural network model, this paper focuses on the fields of image, text, and malicious code and focuses on the adversarial attack classifications and methods of these three data types, so that researchers can quickly find their own type of study. At the end of this review, we also raised some discussions and open issues and compared them with other similar reviews.

A Case Study of the Development of Climate Crisis Picture Book Package Using AR Contents (AR콘텐츠를 활용한 기후위기그림책 패키지의 개발 사례)

  • You Me Han;Sung Won Park;Yejung Choi
    • Journal of Information Technology Applications and Management
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    • v.29 no.6
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    • pp.145-157
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    • 2022
  • Climate crisis is one of the most urgent and serious threats to the right to life. As AR picture books are particularly effective for safety education, this study aimed to produce an AR picture book featuring animals that are endangered due to the climate crisis. In order to increase the educational effect and enhance the climate sensitivity, this study developed a children's activity workbook (with follow-up activities) and a teacher's guide (with lesson plans) as a package. To this end, market research and surveys were first conducted. Next, through the management and support of the Korea Institute of Startup & Entrepreneurship Development, this research team produced a climate crisis themed AR picture book package through expert advice, help from outsourcing companies, and field application. The package was promoted through publicity in various forms of media. The contents of the AR-using picture book package of this case study were introduced and then advantages and disadvantages were discussed.

Balancing the nuclear equation: Climate policy uncertainty and budgetary dynamics

  • Chang Li;Sajid Ali;Raima Nazar;Muhammad Saeed Meo
    • Nuclear Engineering and Technology
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    • v.56 no.7
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    • pp.2850-2858
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    • 2024
  • Amidst the uncertainties of climate policy, investing in nuclear energy technology emerges as a sustainable strategy, fostering innovation in a critical sector, while simultaneously addressing urgent environmental concerns and managing budgetary dynamics. Our investigation inspects the asymmetric influence of climate policy uncertainty on nuclear energy technology in the top 10 nations with the highest nuclear energy R&D budgets (Germany, Japan, China, France, USA, UK, India, South Korea, Russia, and Canada). Previous studies adopted panel data methods to evaluate the linkage between climate policy uncertainty and nuclear energy technology. Nonetheless, these investigations overlooked the variability in this association across various countries. Conversely, this investigation introduces an innovative tool, 'Quantile-on-Quantile' to probe this connection merely for every economy. This methodology concedes for a more accurate evaluation, offering a holistic global perspective and delivering tailored insights for individual countries. The findings uncover that climate policy uncertainty significantly reduces nuclear energy technology budgets across multiple quantiles in most selected economies. Additionally, our results highlight the asymmetries in the correlations between our variables across the nations. These findings stress the need for policymakers to conduct thorough assessments and skillfully manage climate policy uncertainty and nuclear energy budgets.

A Strategic Analysis of Digital Transformation for Data Integration based on Platform Business Model: Focusing on Financial Industry (디지털 트랜스포메이션의 플랫폼 비즈니스 모델 기반 데이터 통합 관점 분석: 금융산업 사례를 중심으로)

  • Kim, Iljoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.119-131
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    • 2021
  • With the boom of platform businesses, digital transformation has become the most important topic for businesses. Digital transformation has now become the most urgent strategy for survival, from a strategy considered as an option to choose in the past. Many companies are desperately seeking the ways to be digitally transformed. Even though there have been many studies on digital transformation, most of them are on strategic and conceptual model levels based on simple case analyses. In this study, we analyze the benefits of data integration and network effects from it, based on platform business model at the core of digital transformation. The change based on platform can be categorized into the internal one for the integration of data and better decision making, and the external one for the expansion of the businesses and better prediction of consumer behaviors through the integration of external data sets by the platform business model based enterprises. While the progress for digital transformation is not mature enough yet, financial industry is one of the most promising industries for the change and realization of the aim of it with its relatively much more advanced IT infrastructure. Many companies are making various efforts for the integration of external data, and if the good results can be accomplished, financial industry will contribute to the advancement of digital transformation in other industries as well. For "My Data" project by Korean government, we suggest the data structure and transaction of data (of Korea) should be advanced and established more quickly.

Data Weight based Scheduling Scheme for Fair data collection in Sensor Networks with Mobile Sink (모바일 싱크 기반 무선 센서 네트워크에서 균등한 데이타 수집을 위한 데이타 가중치 기반 스케줄링 기법)

  • Jo, Young-Tae;Park, Chong-Myung;Lee, Joa-Hyoung;Jung, In-Bum
    • Journal of KIISE:Information Networking
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    • v.35 no.1
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    • pp.21-33
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    • 2008
  • The wireless sensor nodes near to the fixed sink node suffer from the quickly exhausted battery energy. To address this problem, the mobile sink node has been applied to distribute the energy consumption into all wireless sensor nodes. However, since the mobile sink node moves, the data collection scheduling scheme is necessary for the sink node to receive the data from all sensor nodes as fair as possible. The application fields of wireless sensor network need the real-time processing. If the uneven data collection occurs in the wireless sensor network, the real-time processing for the urgent events can not be satisfied. In this paper, a new method is proposed to support the lair data collection between all sensor nodes. The proposed method performs the scheduling algorithm based on the resident time of the sink node staying in a radius of communication range and the amount of data transferred already. In this paper, the proposed method and existing data collection scheduling schemes are evaluated in wireless sensor network with the mobile sink node. The result shows that the proposed method provides the best fairness among all data collection schemes.