• Title/Summary/Keyword: Software service

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Analysis of Presence and Immersion Elements of VR Game (VR게임의 실재감과 몰입감 요소 분석)

  • Kim, Tae-Gyu;Jang, Woo-Seok
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.69-76
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    • 2019
  • Backed by the fourth industrial revolution as the background of the research, VR, AR and MR have increased interest and wireless Oculus Quest is releasing, creating hardware recall and continuing virtual reality devices, and game software develop or service VR games using such devices. As a result, it is expected that VR game markets will continue to grow in the future. For this purpose, we understand the technical factors of presence and immersion that appear in virtual reality games and should be able to apply them when we produce VR games. Through the process, we analyzed elements of VR game concept, immersion, and presence and analyzed three games that were commercialized. As a suggestion, we need to take into account presence and immersion characteristics when developing and experiencing virtual reality games in the future.

Text Network Analysis and Topic Modeling of News Articles on Lonely Death (고독사에 관한 언론보도기사의 텍스트네트워크 분석 및 토픽모델링)

  • Kim, Chunmi;Choi, Seungbeom;Kim, Eun Man
    • Journal of Korean Academy of Rural Health Nursing
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    • v.18 no.2
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    • pp.113-124
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    • 2023
  • Purpose: The number of households vulnerable to isolation increases rapidly as social ties decrease, raising concerns about the associated increase in lonely deaths. This study aimed to identify issues related to lonely deaths by analyzing South Korean news articles; and to provide evidence for their use in preventing and managing lonely deaths via community nursing. Methods: This exploratory study analyzed the structure and trends of meaning of lonely deaths by identifying the association between keywords in news articles and lonely deaths. In this study, we searched for all news articles on lonely deaths, covering the period from January 1, 2010, to May 31, 2023. Data preprocessing and purification were conducted, followed by top-keyword extraction, keyword network analysis and topic modeling. The retrieved articles were analyzed using R and Python software. Results: Four main topics were identified: "discovering and responding to lonely death cases", "lonely deaths ending in lonely funerals", "supportive policies to prevent lonely deaths among of older adults", and "local government activities to prevent lonely deaths and support vulnerable populations." Conclusion: Based on these findings, it can be concluded that lonely death is a complex social phenomenon that can be prevented if society shows concern and care. Education related to lonely deaths should be included in nursing curricula for concrete action plans and professional development.

Path Analysis of the Effects of Nurse Staffing on Patient Outcomes in Long-Term Care Hospitals (요양병원 간호인력 배치수준이 환자결과에 미치는 영향에 관한 경로분석)

  • Seong, Jiyeong;Cho, Sung-Hyun
    • Journal of Korean Clinical Nursing Research
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    • v.29 no.3
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    • pp.249-260
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    • 2023
  • Purpose: The study aimed to examine the effects of nurse staffing levels on patient outcomes in long-term care hospitals in South Korea using path analysis. Methods: We conducted a secondary analysis of national data, which included the 2021 hospital assessment results of long-term care hospitals from the Health Insurance Review and Assessment Service. Data collection was performed between June 19 and June 27, 2023. The study sample consisted of 1,215 hospitals, and we analyzed the data using SAS 9.4 and Mplus 8 software. Results: The average numbers of patients per registered nurse, certified nursing assistant, and nursing staff, including both registered nurses and certified nursing assistant, was 10.00, 7.43, and 4.00, respectively. Path analysis revealed that the number of patients per registered nurse had direct effects on improvements in activities of daily living and indirect effects on indwelling catheterization, pressure ulcer improvement, and weight loss. The number of patients per certified nursing assistant had direct effects on new pressure ulcer development and pressure ulcer improvement, with no indirect effects. The number of patients per nursing staff had direct effects on pressure ulcer improvement and no indirect effects on other patient outcomes. Conclusion: The findings suggest that establishing policies to evaluate staffing levels of registered nurse and certified nursing assistants separately is necessary in order to improve registered nurse staffing levels and patient outcomes in long-term care hospitals.

Exploring Changes in Digital Keywords on Online Bookstores and Instagram: A Comparative Analysis of Before and After COVID-19 (인터넷 서점과 인스타그램에 나타난 디지털 키워드 변화 탐색 - 코로나19 발생 전후 비교 분석 -)

  • Suyeon Je;Siwon Kim;Rani Eom
    • Fashion & Textile Research Journal
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    • v.25 no.6
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    • pp.715-724
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    • 2023
  • This study analyzed the shifts that occurred before and after the outbreak of COVID-19 by scrutinizing digital keywords derived from prominent culture media, such as books and instagram. The analysis identified trends rooted in digital terminology. For this study, the period 2017 to 2022 was divided into three-year segments, before and after the outbreak of COVID-19. Subsequently, an analysis was conducted using digital keywords to assess the number of digital-related books and book hashtags, the number of instagram mentions, and relevant keywords. We found that COVID-19 exerted a discernible influence on information related to digital keywords, substantially impacting both the book publishing market and instagram. Notably, digital-related books have been published in a variety of fields since the outbreak, and new fields are emerging. The year 2020 saw the most significant growth in the mentions of digital terms on instagram. Such terms were used in conjunction with terminology related to people working in a digital environment, endeavors aimed at revenue generation in online spaces, leisure activities associated with art and culture, and online service platforms. Through the analysis of digital keywords, this study is expected to contribute to the understanding of digital trends and their future trajectories.

Development of Android App to Record and Manage Travel Routes for Location Information Protection (위치정보 보호를 위한 이동 경로 기록 및 관리 서비스 앱 개발)

  • Seoyeon Kim;Ah Young Kim;Minjung Oh;Saem Oh;Sungwook Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.10
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    • pp.437-444
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    • 2023
  • Location-based services play a vital role in our daily lives. While these services enhance user convenience, user's privacy is at risk because they lead to a rapid surge in collecting and utilizing location information for a user. In this paper, we design and implement an application that securely records and manages user location information. We enhance the privacy protection aspect concerning location information by providing some features. Utilizing Room DB, we store collected personal location information in the user's local database instead of the server of the location-based service provider. Furthermore, user can initiate and terminate recording at their discretion, thereby enhancing the protection of personal information related to location data. User's unease regarding their movement paths is reduced by empowering them to have control over their own location information.

IoT Edge Architecture Model to Prevent Blockchain-Based Security Threats (블록체인 기반의 보안 위협을 예방할 수 있는 IoT 엣지 아키텍처 모델)

  • Yoon-Su Jeong
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.77-84
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    • 2024
  • Over the past few years, IoT edges have begun to emerge based on new low-latency communication protocols such as 5G. However, IoT edges, despite their enormous advantages, pose new complementary threats, requiring new security solutions to address them. In this paper, we propose a cloud environment-based IoT edge architecture model that complements IoT systems. The proposed model acts on machine learning to prevent security threats in advance with network traffic data extracted from IoT edge devices. In addition, the proposed model ensures load and security in the access network (edge) by allocating some of the security data at the local node. The proposed model further reduces the load on the access network (edge) and secures the vulnerable part by allocating some functions of data processing and management to the local node among IoT edge environments. The proposed model virtualizes various IoT functions as a name service, and deploys hardware functions and sufficient computational resources to local nodes as needed.

Changes and Perspects in the Regulation on Medical Device Approval Report Review, etc. : Focus on Traditional Korean Medical Devices (의료기기 허가·신고·심사 등에 관한 규정 변화와 전망 : 한의 의료기기 중심으로)

  • DaeJin Kim;Byunghee Choi;Taeyeung Kim;Sunghee Jung;Woosuk Kang
    • Journal of Society of Preventive Korean Medicine
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    • v.28 no.1
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    • pp.31-42
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    • 2024
  • Objective : In order to understand the changes in domestic approval regulations applicable to traditional Korean medical device companies, this article will explain the major amendments 「Regulation on Medical Device Approval Report Review, etc.」 from 2005 to the present on a year-by-year basis, and provide a counter plan to the recent changes in approval regulations. Methods : We analysed the changes in approval regulatory amendments related to the traditional Korean medical devices from 2005 to the present. Results : The Ministry of Food and Drug Safety is continuously improving medical device approval regulations to ensure the global competitiveness of domestic medical devices and contribute to the improvement of public health. Recent major approval regulatory amendments include the establishment of a review system for software medical devices and digital therapeutics, the recognition of real world evidence materials, the introduction of a biological evaluation of medical devices within a risk management process and a medical device approval licence renewal system. Conclusions : It is expected that the range of medical devices available to Korean medicine doctors will continue to expand in the future through the provision of non-face-to-face medical services and the development of advanced and new medical devices, as well as wearable medical devices and digital therapeutics. In order to increase the market entry potential of traditional Korean medical devices that incorporate advanced technologies such as digital technology and AI-based diagnosis and prediction technology, it is urgent that the government provide significant support to traditional Korean medical device companies to improve approval regulatory compliance.

Boot storm Reduction through Artificial Intelligence Driven System in Virtual Desktop Infrastructure

  • Heejin Lee;Taeyoung Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.1-9
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    • 2024
  • In this paper, we propose BRAIDS, a boot storm mitigation plan consisting of an AI-based VDI usage prediction system and a virtual machine boot scheduler system, to alleviate boot storms and improve service stability. Virtual Desktop Infrastructure (VDI) is an important technology for improving an organization's work productivity and increasing IT infrastructure efficiency. Boot storms that occur when multiple virtual desktops boot simultaneously cause poor performance and increased latency. Using the xgboost algorithm, existing VDI usage data is used to predict future VDI usage. In addition, it receives the predicted usage as input, defines a boot storm considering the hardware specifications of the VDI server and virtual machine, and provides a schedule to sequentially boot virtual machines to alleviate boot storms. Through the case study, the VDI usage prediction model showed high prediction accuracy and performance improvement, and it was confirmed that the boot storm phenomenon in the virtual desktop environment can be alleviated and IT infrastructure can be utilized efficiently through the virtual machine boot scheduler.

SaaS Platform Structure Design for Authentication and Accounting based on Trusted Computing Technology (신뢰 컴퓨팅기술 기반 SaaS 인증 및 과금 플랫폼 구조 설계)

  • Lee, Sang Hwan;Kim, Jane Chungyoon;Jun, Sungik
    • Annual Conference of KIPS
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    • 2007.11a
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    • pp.991-994
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    • 2007
  • 최근 컴퓨터 기술의 발전과 네트워크의 개방화 그리고 무선 모바일 통신 기술의 비약적인 보급으로 인하여 컴퓨팅 환경을 이루고 있는 각종 장치(PC, 모바일 단말, 저장장치, 네트워크 기기 등)가 다양한 형태의 보안 위협에 노출되어 데이터의 유실, 조작, 유출되어 금전적인 피해를 입거나 프라이버시 침해를 받고 있다. 이러한 문제를 근본적으로 해소하기 위하여 설립된 TCG(Trusted Computing Group)는 세계적인 IT 핵심기업들을 중심으로 구성된 비영리 단체로서 PC 혹은 모바일 기기 등의 단말과 서버 장비 그리고 저장 장치 및 네트워크로 구성된 컴퓨팅 환경에서 보안성 향상 및 데이터의 신뢰성을 제고하기 위하여 TPM(Trusted Platform Module)이라는 반도체 칩을 신뢰의 기반(root of trust)으로 한 신뢰 플랫폼을 제안하고 있다. 한편 SaaS(Software as a Service)는 패키지 형태의 소프트웨어를 네트워크 서비스 형태로 바꾸어 사용량에 비례한 요금제로 과금하는 방식을 채택하고 사용자가 온디맨드로 요청한 서비스를 적시에 제공하는 기술로 최근 전세계적으로 각광을 받고 있다. 이때 다양한 컴퓨팅 환경 안의 사용자에게 높은 신뢰성과 보안성 그리고 연속성을 갖는 SaaS 서비스를 제공하고 데이터의 무결성 및 비밀유지와 정확한 서비스 사용시간을 기록하고 업로드하는 기능들을 제공하는 SaaS 플랫폼은 TPM기반의 신뢰컴퓨팅 기술을 통하여 쉽게 구현될 수 있다. 본 논문에서는 일시적으로 네트워크와 차단된 상태의 PC 혹은 모바일 단말에서도 위의 조건들을 만족하는 SaaS 서비스를 지원하는 신뢰 플랫폼이 가져야 할 기능들에 대하여 분석-도출한 후 그러한 기능들을 제공하는 컴포넌트로 구성된 신뢰형 SaaS 사용자 플랫폼을 설계하였다.

Do Innovation and Relative Advantage Affect the Actual Use of FinTech Services?: An Empirical Study using Classical Attitude Theory (핀테크 서비스의 혁신성과 상대적 장점은 실질이용에 영향을 미칠까?: 고전적 태도이론을 이용한 실증 연구)

  • Se Hun Lim
    • Information Systems Review
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    • v.21 no.3
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    • pp.87-110
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    • 2019
  • The Fintech services provide innovation to financial services users using various mobile devices and computers in wired and wireless communication environments. In this study, we develope a theoretical research framework to explain the psychology of Fintech services users based on a cognitive, affective, and conative framework. Using this framework, this study analyzes the relationships between the cognitive characteristics (i.e., innovation, relative advantage, ease of use, and usefulness), emotional characteristic (i.e., attitude), and behavioral characteristic (i.e., actual use) toward Fintech services users. This study conducted an online survey of people who have experienced using Fintech services. And the data of the collected Fintech services users was analyzed using structural equation model software (i.e., SMART PLS 2.0 M3). The results of the empirical analysis show the relationships between innovation, relative advantage, perceived usefulness, perceived ease of use, attitude, and actual use of Fintech service users. The results of this study provide useful information to improve the practical use of Fintech services users in the Internet of Things (IoT) environment.