• Title/Summary/Keyword: User study

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Research on the limiting factors and countermeasures of the virtual asset industry (가상자산 산업의 한계요인과 대응방안 연구)

  • Yoo, Soonduck
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.1
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    • pp.19-26
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    • 2021
  • The purpose of this study is to provide an environment that can support the development of the virtual asset industry. The limiting factors and countermeasures currently possessed by the virtual asset industry were considered in terms of legal and institutional aspects, technical aspects, and market aspects.Small businesses classified as virtual asset operators have difficulty meeting the government's requirements.Accordingly, SMEs with insufficient funds and manpower are withdrawn from the market, creating an environment where only large-scale enterprises with capital power survive.It is difficult to develop desirable technologies and markets in the virtual asset technology industry. In addition, small and medium-sized companies may be expelled from the market, causing damage to current users. Therefore, in terms of legal and institutional aspects, there is a lack of an exact scope of virtual asset providers, and thus it is necessary to respond to the controversial elements of virtual asset providers. In terms of technology, it is necessary to cope with the slowdown of the P2P method, the difficulty in recovering errors, and the absence of operational experts. Therefore, technology standardization and stabilization are required, and efforts must be made to cultivate operational technical personnel who can support them.In terms of the market, it is necessary to prepare measures to protect users of virtual assets and to establish countermeasures for companies operating virtual assets against weak user protection, inadequate application of the AML method, and limitations of taxation. This study is expected to contribute to active utilization support or related policies in the virtual asset industry.

A Study on the Activation Measures of Library's Online Services to Overcome COVID-19 (코로나 19 극복을 위한 도서관 온라인서비스 활성화 방안에 관한 연구)

  • Noh, Younghee;Kang, Pil Soo;Kim, Yoon-Jeong
    • Journal of Korean Library and Information Science Society
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    • v.51 no.4
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    • pp.185-210
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    • 2020
  • The library faced an unexpected crisis of COVID-19, and as a countermeasure strategy, non-face-to-face online service has been reinforced. Therefore, this study attempted to present a plan to overcome the challenges arising from rapidly changing external environment and current crisis. To this end, data search, electronic library, library service, cultural event and open space management status of 288 public libraries serviced as an integrated site were investigated. Based on this, the meaning of online services in the post-COVID-19 era and the implication of it were examined. As a result, first, the increase in the use rate of online data search services with the spread of non-face-to-face culture, second, the expansion of the services of the electronic library, third, the diversification of non-face-to-face, online services, fourth, expansion of online cultural event services, fifth, the diversification of open space services were proposed, sixth, Introduced an artificial intelligence system for unattended loan return based on access and the Seventh, expansion of experiential cultural support services and educational contents through VR, AR and MR. It is deemed necessary for the research on the future direction of the library's non-face-to-face services to be conducted by investigating the current status of online services in various types of libraries and the types and case studies of library services in the era of COVID-19.

A study on the digitalization of 3D Pen (3D펜의 디지털화에 대한 연구)

  • Kim, Jong-Young;Jeon, Byung-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.583-590
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    • 2021
  • This paper is a study on the digitization of an analog 3D pen. The term digital implies features such as homeostasis, transformability, combinability, reproducibility, and convenience of storage. One device that produces a combination of these digital characteristics is a 3D printer, but its industrial use is limited due to low productivity and limitations with materials and physical characteristics. In particular, improvements are required to use 3D printers, such as better user accessibility owing to expertise and skills in modeling software and printers. Complementing this fact is the 3D pen, which is excellent in portability and ease of use, but has a limitation in that it cannot be digitized. Therefore, in order to secure a digitalization capability and ease of use, and to secure the safety of printing materials that pose controversial hazards during the printing process, research problems and alternatives have been derived by combining food, and digitization was demonstrated with a newly developed 3D pen. In order to digitize the 3D pen, a sensor in a structured device detects the motion of an analog 3D pen, and this motion is converted into 3D data (X-Y-Z coordinate values) through a spatial analysis algorithm. To prove this method, the similarity was confirmed by visualization using MeshLab version 1.3.4. It is expected that this food pen can be used in youth education and senior healthcare programs in the future.

An Analysis of Filter Bubble Phenomenon on YouTube Recommendation Algorithm Using Text Mining (텍스트 마이닝 기법을 이용한 유튜브 추천 알고리즘의 필터버블 현상 분석)

  • Shin, Yoo Jin;Lee, Sang Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.1-10
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    • 2021
  • This study empirically confirmed 'the political bias of the YouTube recommendation algorithm' and 'the selective exposure of user' to verify the Filter Bubble phenomenon of YouTube. For the experiment, two new YouTube accounts were opened and each account was trained simultaneously in a conservative and a liberal account for a week, and the "Recommended" videos were collected from each account every two days. Subsequently, through the text mining method, the goal of the research was to investigate whether conservative videos are more recommended in a righties account or lefties videos are more recommended in a lefties account. And then, this study examined if users who consumed political news videos via YouTube showed "selective exposure" received selected information according to their political orientation through a survey. As a result of the Text Mining, conservative videos are more recommended in the righties account, and liberal videos are more recommended in the lefties account. Additionally, most of the videos recommended in the righties/lefties account dealt with politically biased topics, and the topics covered in each account showed markedly definitive differences. And about 77% of the respondents showed selective exposure.

A Study on a Non-Voice Section Detection Model among Speech Signals using CNN Algorithm (CNN(Convolutional Neural Network) 알고리즘을 활용한 음성신호 중 비음성 구간 탐지 모델 연구)

  • Lee, Hoo-Young
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.33-39
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    • 2021
  • Speech recognition technology is being combined with deep learning and is developing at a rapid pace. In particular, voice recognition services are connected to various devices such as artificial intelligence speakers, vehicle voice recognition, and smartphones, and voice recognition technology is being used in various places, not in specific areas of the industry. In this situation, research to meet high expectations for the technology is also being actively conducted. Among them, in the field of natural language processing (NLP), there is a need for research in the field of removing ambient noise or unnecessary voice signals that have a great influence on the speech recognition recognition rate. Many domestic and foreign companies are already using the latest AI technology for such research. Among them, research using a convolutional neural network algorithm (CNN) is being actively conducted. The purpose of this study is to determine the non-voice section from the user's speech section through the convolutional neural network. It collects the voice files (wav) of 5 speakers to generate learning data, and utilizes the convolutional neural network to determine the speech section and the non-voice section. A classification model for discriminating speech sections was created. Afterwards, an experiment was conducted to detect the non-speech section through the generated model, and as a result, an accuracy of 94% was obtained.

A Study on the Public Service of Big Data in Ocean Information -Focusing on user requirements of government services- (해양 정보 빅데이터의 대국민 서비스 제공 방안: 정부기관 서비스의 사용자 요구 사항을 중심으로)

  • Kim, Seungmin;Park, Byoung yong
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.241-255
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    • 2020
  • In Korea, utilizing and protecting the ocean from the sea on three sides can be considered the basis of national power. Recently, it has been distributed to IOT and 5G networks, and attempts to provide various information based on telecommunication infrastructure are continuing in the public and private sectors. In this study, an online survey was conducted with the aim of improving the services of marine information services (KOMC, safe and open seas) provided by the Government Agency for Oceanographic Research. Through an online survey, the survey was conducted on sites that are mainly used to survey people's need for marine information and to collect information. In addition, the survey was conducted on the UX, UI problems and improvements of KOMC, open and safe sea sites provided by the National Oceanographic Research Institute. The awareness and experience of marine information service by the Korea Oceanographic Research Institute were confirmed. Later, the previous steps of FGI also examined the usability of various users after allowing them to use the actual service. Here, the experience of collecting marine information from actual users was investigated, not just by looking at and evaluating the design of the service website and application. As a result, users presented a variety of opinions related to marine information services, including accessibility, reliability of information, providing media, and importance of information provided. The findings could be used as data to identify ocean-related data and ways to provide information required by users of various age groups and occupational groups.

Analysis of Behavior Characteristics According to The Foundations Fixing Conditions of Storage Racks (적재설비 기초 고정조건에 따른 거동특성 분석)

  • Park, Chae-Rin;Heo, Gwang-Hee;Kim, Chung-Gil;Park, Jin-Yong;Ko, Byeong-Chan
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.3
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    • pp.68-76
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    • 2021
  • Storage racks have suffered huge losses due to earthquakes, but related research and regulations are relatively insufficient non-structural elements compared to the structural elements. In this study, we tried to experimentally analyze the behavioral characteristics of storage racks due to external force according to the fixing conditions of the column-foundations connection of storage racks. In general, the column-foundations connection of storage racks is installed according to the user's convenience without installation standards and regulations. For this reason, this study conducted a behavior analysis test on four full-scale storage racks with the condition of column-foundations connection of four typical storage racks. The behavior characteristics analysis test was performed by two-direction of the shake table with El-Centro seismic wave. To confirm the behavior characteristics according to the magnitude of the seismic load, 50% ~ 150% of the seismic waves were increased by 50% for each test. In addition, a resonance search test was conducted to confirm the natural frequency of each storage racks foundations fixing condition. Among the data obtained through the test, the displacement of the top layer and the permanent displacement after the test were compared for each condition to analyze the behavior characteristics of the column-foundations fixed conditions of the storage racks. As a result, the change of natural frequency was small in storage racks due to the change of the conditions of the foundations, and the behavior characteristics were changed due to the difference of the restoring force due to the change of the storage racks foundations condition rather than the influence of the natural frequency of the input load.

Analysis of Collaboration Method Used according to the Characteristics of Each Stage of the Design Process (디자인 과정 단계별 특성에 따라 활용되는 협업 방식 분석)

  • Jung, Young-Wook
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.300-308
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    • 2021
  • The epidemic of COVID19 caused a big change in design collaboration, which has been conducting using face-to-face interaction. Designers actively used video conferencing and online document tools in situations where face-to-face meetings were difficult, and this gave them an opportunity to experience that non-face-to-face collaboration can be more effective in a specific design process. In this regard, this study attempted to find out which activities during the design process are more compelling in face-to-face collaboration or non-face-to-face collaboration. To do this, three user experience design projects conducted after the COVID19 epidemic were analyzed through a retrospective interview method. As a result, during four design stages, 'Discover, Define, Develop, Deliver', face-to-face collaboration is necessary for the areas that require creative problem solving through active interaction. In contrast, non-face-to-face collaboration is preferred and more effective when designers need their own space and proceed their design work. In addition, the aspects of design tools supporting non-face-to-face collaboration were also illustrated. Findings discovered through this study are expected to contribute to research on the design process later.

A Study on the Current State of the Library's AI Service and the Service Provision Plan (도서관의 인공지능(AI) 서비스 현황 및 서비스 제공 방안에 관한 연구)

  • Kwak, Woojung;Noh, Younghee
    • Journal of Korean Library and Information Science Society
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    • v.52 no.1
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    • pp.155-178
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    • 2021
  • In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

A Study on the Designation Plan for Public Domain of Library (도서관 공공도메인 지정방안에 관한 연구)

  • Noh, Younghee;Choi, Man-Ho;Kim, Yoon Jeong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.32 no.1
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    • pp.151-170
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    • 2021
  • The domain name should be registered and used with the minimum length in consideration of the user's web accessibility and convenience. In addition, it is necessary to increase the status and authority of the library by allowing the type, region, and characteristics of the library to be known only by the domain name, and to consider the convenience of users. In this study, the situation of the state designated second-stage public domain and the second-stage public domain of educational institutions of similar character and size to the library are analyzed, and problems with the domain of libraries that do not have the second-stage domain are identified. Finally, second-stage public domains of national library (nl), public library (pl), and small library (sl) are proposed for each type of library, and the university library (lib. university domain) and school library (lib. School domain) proposed to use as the second-stage domains of the educational institution. The purpose is to allow users to intuitively know that these domains are libraries, to identify the type of library, and to know the characteristics and regions of the library. To this end, a joint effort by the academic community, the library community, and the Library Information Policy Committee is needed.