• Title/Summary/Keyword: COVID-Pandemic

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Democratic Values, Collective Security, and Privacy: Taiwan People's Response to COVID-19

  • Yang, Wan-Ying;Tsai, Chia-hung
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.222-245
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    • 2020
  • In the pandemic crisis, many governments implemented harsh interventions that might contradict democratic values and civil liberties. In Taiwan, the debate over whether or not to reveal personal information of infected persons to limit the coronavirus's spread poses the democratic dilemma between public health and civil liberties. This study examines whether and explains how Taiwan's people respond to the choice between individual privacy and collective security. We used survey data gathered in May 2020 to show that, first, the democratic values did not deter the pursuit of collective safety at the cost of civil liberty; rather, people with higher social trust were more likely to give up their civil liberties in exchange for public safety. Second, people who support democratic values and pursue collective security tend to avoid violating privacy by opposing the release of personal information. This study proves that democratic values do not necessarily threaten collective safety and that the pursuit of common good can co-exist with personal privacy.

Asymmetric Interdependence and the Selective Diversification of Supply Chains

  • Nagy, Stephen R.;Nguyen, Hanh
    • Journal of Contemporary Eastern Asia
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    • v.20 no.2
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    • pp.237-258
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    • 2021
  • The COVID-19 pandemic has highlighted the risks of an over-concentration of supply chains in one country. It has motivated stakeholders to pursue diversification strategies. However, a paradox exists. Stakeholders have shied away from a complete decoupling and preferring to selectively enhance economic ties with China. This article explores this paradox by examining supply chain concentration in China as a form of asymmetric interdependence and the countermeasures from the U.S., Japan, Australia, and India to minimize vulnerabilities. It argues that while the COVID-19 disruptions have brought to light the risk of supply chain overconcentration in China, countermeasures are also driven by coercive diplomacy and the deepening U.S.-China rivalry. The paper also examines the feasibility of diversification efforts by focusing on the capacity and capabilities of alternative supply chain hubs. It finds that while states are actively seeking ways to prevent China from using asymmetric interdependence of supply chains and trade to gain political leverage, there are structural limits to the degree of diversification in the short to mid-term.

A study on Innovation Methods for the Content Industry in the post-COVID-19 Era

  • Lee, Gun-Woong;Bang, Mee-Young
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.142-151
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    • 2021
  • The content industry was greatly affected by the pandemic that hit the world in 2020. The release and production of major Hollywood films were postponed. Performances, festivals, and mega-events such as tourism and the Olympic Games were also canceled or postponed. The innovation of the content industry became inevitable in line with these rapid environmental changes, and the industry had to undergo internal changes according to these external environmental changes. Representative examples are talent fostering and job creation for young people. This study conducts both SWOT analysis and PEST analysis on the South Korean content industry, thereby analyzing cases of talent fostering and job creation suitable for the new environment.

Tourist Transition Model among Tourist Attractions based on GPS Trajectory

  • Kasahara, Hidekazu;Watabe, Takeshi;Iiyama, Masaaki
    • Journal of Smart Tourism
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    • v.1 no.2
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    • pp.19-25
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    • 2021
  • Before COVID-19, tourist destinations have experienced problems with congestion of both famous tourist attractions and public transportation. Over-tourism is not an issue at this time, but it is likely to rekindle after the COVID-19 pandemic ends. One method of mitigating over-tourism is to estimate tourist behavior using a tourist transition model and consequently adjust public transportation operations. In this study, we propose a construction method for a model of tourist transitions among tourist attractions based on tourist GPS trajectory data. We construct tourist transition models using actual trajectory data for tourists staying in the vicinity of Kyoto City. The results verify the model performance.

Privacy Analysis and Comparison of Pandemic Contact Tracing Apps

  • Piao, Yanji;Cui, Dongyue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.11
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    • pp.4145-4162
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    • 2021
  • During the period of epidemic prevention and control, contact tracing systems are developed in many countries, to stop or slow down the progression of COVID-19 contamination. However, the privacy issues involved in the use of contact tracing apps have also attracted people's attention. First, we divide contact tracing techniques into two types: Bluetooth Low Energy (BLE) based and Global Positioning System (GPS) based techniques. In order to clear understand the system structure and its elements, we create data flow diagram (DFD) of each types. Second, we analyze the possible privacy threats contained in various types of contact tracing apps by applying LINDDUN, which is a threat modeling technique for personal information protection. Third, we make a comparison and analysis of various contact tracing techniques from privacy point of view. These studies can facilitate improve tracing and security performance to contact tracing apps through comparisons between different types.

Experience in Online Education in Logistic-related Departments in the New Normal Age (뉴노멀시대에 있어서 물류 관련 학과의 온라인교육 경험)

  • Bae, Soo Hyun
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.26 no.3
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    • pp.139-145
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    • 2020
  • The purpose of this study is to share the experience of online education with departments related to the servic industry, such as distribution and logistics, in the New Normal Age of COVID-19 pandemics. The graduation presentation project, which is the capstone design subject and the most urgent subject for face-to-face classes, was selected as the online education subject of this study. The results of this study are as follows : First, several online class tools, such as Zoom, Microsoft Teams, and Google Meet, have also been shown to be applicable to capstone design subjects such as graduation presentation projects. Second, it is essential to reorganize the curriculum to enhance students' ability to practice and utilize online contents. Third, continuous education and training are needed to make easy use of the aforementioned online teaching tools. Meanwhile, fourth, further research is needed to solve the learning effects caused by online learning, and difficulties in communication.

WTO Reform Priorities post-COVID-19

  • Hoekman, Bernard
    • East Asian Economic Review
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    • v.24 no.4
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    • pp.337-348
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    • 2020
  • Although the WTO has fulfilled several key tasks it was set up to do - providing periodic reviews of members' trade policies, resolving disputes, supporting negotiations - with the notable exceptions of the Trade Facilitation and Information Technology agreements, WTO members have not been able to negotiate new rules on "bread and butter" trade policies. The importance of doing so was illustrated by the COVID-19 pandemic which saw widespread uncoordinated recourse to trade policy instruments. This paper highlights four reforms that would bolster the effectiveness of the WTO as a forum for trade cooperation: (1) improving collection and reporting of information on trade-related policies; (2) supporting analysis-informed deliberation to establish a common understanding of the need and scope for cooperation in specific policy areas; (3) putting in place a stronger multilateral governance framework for plurilateral cooperation between groups of WTO members; and (4) reestablishing an effective dispute settlement system.

A Constructivist Approach to Understanding Russian's Public Diplomacy through Humanitarian Aid during COVID-19

  • Ignat, Vershinin
    • Journal of Public Diplomacy
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    • v.1 no.2
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    • pp.1-26
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    • 2021
  • Applying discourse analysis of Russia's narrative on humanitarian aid and its perception by the Western collective identity at the beginning of the COVID-19 pandemic, this study identifies several challenges that constructivism poses to the current understanding of public diplomacy (PD). In contrast to the mainstream positivist tendency to evaluate the effectiveness of PD through models, this article expands the PD narrative by inquiring about the role of power, intersubjective knowledge, and collective identities in public diplomacy. In particular, it examines the PD questions often ignored by researchers regarding how collective identities can exercise discursive power to interpret incoming narratives, which challenge domestic intersubjective knowledge. It also argues that, because the Russian political elite failed to ensure a coherent story and provide informational support for its humanitarian aid, the Western intersubjective knowledge on Russia negatively contributed to the perception of PD narratives. Thus, the article underscores the importance for PD practitioners to understand how the socially constructed nature of knowledge can improve or harm PD strategies.

Study On Masked Face Detection And Recognition using transfer learning

  • Kwak, NaeJoung;Kim, DongJu
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.294-301
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    • 2022
  • COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.

Production of Fear: The Visual Analysis of Local Lockdown Warning Signs

  • Rizkidarajat, Wiman;Chusna, Aidatul
    • SUVANNABHUMI
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    • v.14 no.2
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    • pp.89-116
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    • 2022
  • During the Covid-19 pandemic's first term of April-June 2020, the general public throughout Indonesia became familiar with the slang term "local lockdown." This term emerged in response to disorderly implementation of the half-hearted government policy called Pembatasan Sosial Berskala Besar (PSBB). In villages around the country, people started to build portals to restrict "strangers" or "outsiders" from entering their village areas. These portals were also meant to publicly signal the villagers' fear of the spread of the virus. This paper will discuss two things: first, how fear was produced, using frameworks drawn from Giorgio Agamben's notable works State of Exception and Homo Sacer, and how governance reproduces it; and second, how people come to accept the state of emergency and then publicly express their acceptance of the situation. Critical discourse analysis is applied to read government policy and its reception. The research took place at Rempoah, Kedungmalang, and Pabuwaran villages in Banyumas, the southern regency of Central Java, Indonesia. The villagers' responses to the government's policy are visually represented through written warning signs.