• Title/Summary/Keyword: online communication

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Assessment of Library and Information Professionals' Perception of COVID-19 and Its Impacts on Libraries in Nigeria

  • Adegbilero-Iwari, Idowu;Ikenwe, Iguehi Joy;Adegbilero-Iwari, Oluwaseun Eniola
    • International Journal of Knowledge Content Development & Technology
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    • v.12 no.4
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    • pp.25-39
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    • 2022
  • Perceptions of Library and Information (LI) professionals in Nigeria and the impact of COVID-19 on libraries, librarians and library services, were studied. The significance of demographic factors on LI professionals' perception of COVID-19 and its impact on libraries was tested. Descriptive survey design and Purpose sampling technique were adopted. LIS professionals in Nigeria constituted the population, and an online questionnaire designed by the researchers through Microsoft Forms was used. Descriptive analysis of respondents' demographic data and their covid-19 perception were presented in frequencies and percentages using tables while multivariate regression technique was used to test the significance of relationship between variables at P < 0.05. Findings revealed that many (61.4%) of the respondents agreed that COVID-19 is real but have personal reservations. However, 47.5% indicated that COVID-19 is a scientific invention. On the impacts of COVID-19 on libraries, the study found that COVID-19 is a game changer that will enhance the creation of new services by libraries, cause the reconfiguration of library space for safe operations in post-COVID, establishment of new rules and regulations, and more reliance on e-resources. On the test of association, educational qualification of respondents had a significant impact on respondents' perceptions that COVID-19 will reduce the use of library print resources (P-value = 0.005, B: 0.38, [95% CI: 0.115 - 0.646]) and that library will create new services to address the changes caused by COVID-19. Also, educational qualification of respondents significantly influenced respondents' perception that COVID-19 is real. The study recommends that libraries should take advantage of the season to innovate, and that public health institutions should continually educate people on corona virus to disabuse people's mind of conspiracy theories.

Human Rights in The Context of Digitalization. International-Legal Analysis

  • Panova, Liydmyla;Gramatskyy, Ernest;Kryvosheyina, Inha;Makoda, Volodymyr
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.320-326
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    • 2022
  • The use of the Internet has become commonplace for billions of people on the planet. The rapid development of technology, in particular, mobile gadgets, has provided access to communication anywhere, anytime. At the same time, there are growing concerns about the behavior of people on the Internet, in particular, towards each other and social groups in general. This raises the issue of human rights in today's information society. In this study, we focused on human rights such as the right to privacy, confidentiality, freedom of expression, the right to be forgotten, etc. We point to some differences in this regard, in particular between the EU, etc. In addition, we describe the latest legal regulation in this aspect in European countries. Such methods as systemic, factual, formal and legal, to show the factors of formation and development of human rights in the context of digitalization were used. The authors indicate which of them deserve the most attention due to their prevalence and relevance. Thus, we concluded that the technological development of social communications has laid the groundwork for a legal settlement of privacy and opinion issues on the Internet. Simultaneously, jurisdictions address issues on every aspect of human rights on the Internet, based on previous norms, case law, and principles of law. It is concluded that human rights legislation on the Internet will continue to be actively developed to ensure a balance of private and public interests, safe online access and unimpeded access to it.

Development of K-12 Digital Culture Curriculum for AI Edcuation (AI교육을 위한 초등 디지털 문화 교육과정 개발)

  • Soo-Bum Shin;Jeong-Hye Han
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.449-455
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    • 2022
  • The digital culture area is a field of artificial intelligence education and partially overlaps with information ethics, and this study proposed an elementary school-centered digital culture curriculum, a detailed area of artificial intelligence education. First, as a leading overseas case in the field of digital culture, we analyzed the secure online interaction, which is the core content of the K12CS framework in the United States and the UK's computing curriculum. We presented by categorizing it into four digital areas: content, communication method, copyright, and job exploration in accordance with the domestic educational environment and field conditions. In addition, educational goals were stated according to the level of kindergarten and elementary school, and the validity of a group of field teachers majoring in in information and artificial intelligence was investigated to confirm the validity. As a result of the analysis, it was found that all the contents set were suitable except for some of the detailed goals of the first grade elementary school stages. Accordingly, a digital culture curriculum for artificial intelligence education was presented by revising and supplementing the detailed goals of the first graders.

Effects of Experience Factors in Experiential Fashion Store on Consumer Loyalty Mediated by Store Attachment -Focusing on the Moderating Role of Fashion Innovativeness- (체험형 패션 매장 내 체험적 요소가 점포 애착을 매개로 소비자 충성도에 미치는 영향 -패션 혁신성의 조절효과를 중심으로-)

  • Woo Bin Kim;Mi Young Choi
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.2
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    • pp.277-294
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    • 2023
  • As more consumers have turned to online shopping since the COVID-19 pandemic, communication through offline channels has also entered a new phase. Young consumers recognize offline channels as a play space for enjoying various experience elements. Applying Pine and Gilmore's (1998) experiential economy theory, this study initially explores the structure of experience factors in the context of experiential fashion stores (RQ1). Next, we investigate the effect of experience factors on consumer loyalty by mediating store attachment (RQ2). In addition, the moderating effect of fashion innovativeness was verified (RQ3). This survey targeted members of the MZ generation who have visited experiential fashion stores. A total of 225 survey responses were analyzed using AMOS 22.0 and SPSS 26.0. First, as a result of factor analysis, the experience factors of experiential fashion stores were classified into education, escapism, and aesthetic entertainment. Secondly, as a result of structural equation modeling (SEM), all three experience factors positively affected store attachment, and increased attachment positively enhanced consumer loyalty. Finally, as a result of multigroup SEM analysis, consumers with low fashion innovativeness considered educational experience as an important factor in inducing store attachment, while consumers with high fashion innovativeness value escapism and aesthetic entertainment experiences.

Effect Analysis of Data Imbalance for Emotion Recognition Based on Deep Learning (딥러닝기반 감정인식에서 데이터 불균형이 미치는 영향 분석)

  • Hajin Noh;Yujin Lim
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.8
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    • pp.235-242
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    • 2023
  • In recent years, as online counseling for infants and adolescents has increased, CNN-based deep learning models are widely used as assistance tools for emotion recognition. However, since most emotion recognition models are trained on mainly adult data, there are performance restrictions to apply the model to infants and adolescents. In this paper, in order to analyze the performance constraints, the characteristics of facial expressions for emotional recognition of infants and adolescents compared to adults are analyzed through LIME method, one of the XAI techniques. In addition, the experiments are performed on the male and female groups to analyze the characteristics of gender-specific facial expressions. As a result, we describe age-specific and gender-specific experimental results based on the data distribution of the pre-training dataset of CNN models and highlight the importance of balanced learning data.

The Impact of the User Characteristics of the VR Exhibition on Space Participation and Immersion

  • Wang, Minglu;Lee, Jong-Yoon;Liu, Shanshan
    • International Journal of Contents
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    • v.18 no.1
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    • pp.1-16
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    • 2022
  • With the advent of the 5G, networks and information and communication technologies have been continuously developed. In the fields of art galleries, virtual reality (VR) exhibitions that can be visited online have emerged, innovating the way of human-computer interaction and creating new artistic experiences for users. This study explores the three-dimensionality, clarity, and innovative interactions that users experience when viewing a VR exhibit, which affects the exhibit's presence. Besides, in terms of research method, the research sets spatial participation and immersion as dependent variables, with three-dimensionality (high versus low), clarity (high versus low), and innovation (high versus low) in a 2×2×2 design as the base, and explores their interaction effects. The results show that three-dimensionality and innovative interactions affect spatial participation. First of all, in groups with high innovation and low three-dimensionality, spatial participation presents a higher positive factor. Secondly, with regard to immersion, three-dimensionality, clarity and innovation present a tripartite interaction. Groups with low three-dimensionality and high clarity have a higher positive effect on immersion when the level of innovation is low. When the degree of innovation is high, the positive effect on immersion is higher in groups with high three-dimensionality and low clarity. The above results show that in the production of VR exhibitions, it is necessary to increase the three-dimensionality and clarity of exhibited image contents, while taking into account the user's perception and innovativeness. On the other hand, this study puts forward suggestions for the design, content and future development of VR exhibitions, which has important reference significance for the improvement and innovation of future VR exhibitions.

Current Status of Development and Practice of Artificial Intelligence Solutions for Digital Transformation of Fashion Manufacturers (패션 제조 기업의 디지털 트랜스포메이션을 위한 인공지능 솔루션 개발 및 활용 현황)

  • Kim, Ha Youn;Choi, Woojin;Lee, Yuri;Jang, Seyoon
    • Journal of Fashion Business
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    • v.26 no.2
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    • pp.28-47
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    • 2022
  • Rapid development of information and communication technology is leading the digital transformation (hereinafter, DT) of various industries. At this point in rapid online transition, fashion manufacturers operating offline-oriented businesses have become highly interested in DT and artificial intelligence (hereinafter AI), which leads DT. The purpose of this study is to examine the development status and application case of AI-based digital technology developed for the fashion industry, and to examine the DT stage and AI application status of domestic fashion manufacturers. Hence, in-depth interviews were conducted with five domestic IT companies developing AI technology for the fashion industry and six domestic fashion manufacturers applying AI technology. After analyzing interviews, study results were as follows: The seven major AI technologies leading the DT of the fashion industry were fashion image recognition, trend analysis, prediction & visualization, automated fashion design generation, demand forecast & optimizing inventory, optimizing logistics, curation, and ad-tech. It was found that domestic fashion manufacturers were striving for innovative changes through DT although the DT stage varied from company to company. This study is of academic significance as it organized technologies specialized in fashion business by analyzing AI-based digitization element technologies that lead DT in the fashion industry. It is also expected to serve as basic study when DT and AI technology development are applied to the fashion field so that traditional domestic fashion manufacturers showing low growth can rise again.

Assessment of public knowledge, perception, and acceptance of nuclear power in Bangladesh

  • Md Iqbal Hosan;Md Jafor Dewan;Md Hossain Sahadath;Debasish Roy;Drupada Roy
    • Nuclear Engineering and Technology
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    • v.55 no.4
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    • pp.1410-1419
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    • 2023
  • Public perception plays a crucial role in the successful completion of a nuclear power project. As a newcomer country to nuclear power, there are lots of misconceptions among the Bangladeshi people about nuclear energy. Consequently, it is crucial to minimize all the doubts among mass people and build up their positive outlook toward nuclear power. This demands a comprehensive survey to figure out the public opinion, concerns, false impressions, and knowledge gap regarding nuclear power. In the present study, these issues were addressed by a survey that was responded to by 661 persons for the 24 survey questions. The questions were categorized based on information, knowledge, faith, benefit, awareness, and technology. Feedback and responders' basic demographic and socioeconomic information were collected from various locations in Bangladesh through online and in-person surveys. The responses were analyzed in both statistical and descriptive ways. Some of the feedback was found to vary with age, sex, and education level while others were quite independent of these parameters. It is found that socioeconomic development and energy security can be achieved by the inclusion of nuclear energy in the power system master plan of the country. However, huge knowledge gaps and misconceptions were found among the public regarding nuclear energy. As per feedback, political instability and corruption may affect the national nuclear power project in Bangladesh. Low faith in the existing rules & regulations for nuclear power programs was also observed. The result of this study will be handy to develop the communication and public awareness strategy for a successful nuclear power project in Bangladesh.

Trend Analysis by Risk Observation: How the German Statutory Accident Insurance Prepares for the Future in Occupational Safety and Health

  • Angelika Hauke;Eva Flaspoler;Ruth Kluser;Ina Neitzner;Dietmar Reinert
    • Safety and Health at Work
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    • v.13 no.4
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    • pp.429-439
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    • 2022
  • Background: The risk observatory (RO) of the German Social Accident Insurance (DGUV) provides strategic support to the German Social Accident Insurance Institutions (GSAII) in proactive prevention. It does so by identifying future challenges and opportunities for occupational safety and health (OSH) resulting from new trends and developments that affect employees as well as children in elementary education, pupils, and students. Methods: The core of the RO is an online survey that relies on a pool of new trends and developments identified via internet and literature research. 865 prevention experts of the GSAII and the DGUV participated in the survey. They rated trends and developments regarding their sector-specific risks and opportunities for OSH in the 5 years to come. Results: Sector-specific and over-all results show that besides well-known OSH risks such as musculoskeletal stress and noise, developments relevant for OSH come to the fore that do not have their origin in work itself, but are strongly influenced by political, social, economic, environmental, or technical developments that accident insurance can only peripherally influence. Shortage of skilled staff was identified as a threat to OSH in almost all sectors. Conclusions: Prevention must find ways to address repercussions of such OSH risks. Cooperation and political awareness are therefore gaining in importance. Also, implementing a prevention culture in society and strengthening individuals' health and safety literacy, e.g., by target-group-specific communication and sensitization, as well as early safety and health education, help to counteract those OSH risks.

Design of AHRS using Low-Cost MEMS IMU Sensor and Multiple Filters (저가형 MEMS IMU센서와 다중필터를 활용한 AHRS 설계)

  • Jang, Woojin;Park, Chansik
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.1
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    • pp.177-186
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    • 2017
  • Recently, Autonomous vehicles are getting hot attention. Amazon, the biggest online shopping service provider is developing a delivery system that uses drones. This kinds of platforms are need accurate attitude information for navigation. In this paper, a structure design of AHRS using low-cost inertia sensor is proposed. To estimate attitudes a Kalman filter which uses a quaternion based dynamic model, bias-removed measurements from MEMS Gyro, raw measurements from MEMS accelerometer and magnetometer, is designed. To remove bias from MEMS Gyro, an additional Kalman filter which uses raw Gyro measurements and attitude estimates, is designed. The performance of implemented AHRS is compared with high price off-the-shelf 3DM-GX3-25 AHRS from Microstrain. The Gyro bias was estimated within 0.0001[deg/s]. And from the estimated attitude, roll and pitch angle error is smaller than 0.2 and 0.3 degree. Yaw angle error is smaller than 6 degree.