• Title/Summary/Keyword: technology platforms

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Evolving the Cybersecurity of Clinical Photography in Plastic Surgery

  • Daisy L. Spoer;Alexandra Junn;John D. Bovill;Zoe K. Haffner;Andrew I. Abadeer;Stephen B. Baker
    • Archives of Plastic Surgery
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    • v.50 no.4
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    • pp.443-444
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    • 2023
  • Point-of-care photography and photo sharing optimize patient outcomes and facilitate remote consultation imperative for resident surgeons. This literature review and external pilot survey study highlight the risks associated with current practices concerning patient privacy and biometric security. In a survey of 30 plastic surgeon residents and attendings, we found that the majority took photos of patients with their iPhones and shared them with colleagues via Apple iMessage. These findings corroborate previous reports and highlight a lack of physician user acceptance of secure photo-sharing platforms. Finally, we frame a successful example from the literature in the context of a postulated framework for institutional change. Prioritizing the privacy and safety of patients requires a strategic approach that preserves the ease and frequency of use of current practices.

Genomic epidemiology and surveillance of zoonotic viruses using targeted next-generation sequencing (표적화 차세대염기서열분석법을 이용한 인수공통 바이러스의 유전체 역학과 예찰)

  • Seonghyeon Lee;Seung-Hwan Baek;Shivani Rajoriya;Sara Puspareni;Won-Keun Kim
    • Korean Journal of Veterinary Service
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    • v.46 no.1
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    • pp.93-106
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    • 2023
  • Emerging and re-emerging zoonotic viruses become critical public health, economic, societal, and cultural burdens. The Coronavirus disease-19 (COVID-19) pandemic reveals needs for effective preparedness and responsiveness against the emergence of variants and the next virus outbreak. The targeted next-generation sequencing (NGS) significantly contributes to the acquisition of viral genome sequences directly from clinical specimens. Using this advanced NGS technology, the genomic epidemiology and surveillance play a critical role in identifying of infectious source and origin, tracking of transmission chains and virus evolution, and characterizing the virulence and developing of vaccines during the outbreak. In this review, we highlight the platforms and preparation of targeted NGS for the viral genomics. We also demonstrate the application of this strategy to take advantage of the responsiveness and prevention of emerging zoonotic viruses. This article provides broad and deep insights into the preparedness and responsiveness for the next zoonotic virus outbreak.

Status and Trend on Applying Web Front-End Frameworks for Developing Network Monitoring Applications in a Web of Things Environment (사물 웹(WoT) 환경에서 네트워크 모니터링 애플리케이션 개발을 위한 웹 프론트엔드 프레임워크의 적용 현황 및 트렌드)

  • Cha, Si-Ho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.1
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    • pp.47-54
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    • 2022
  • All things connected to the Internet have to ensure interoperability between each other. Web of Things (WoT) is an Internet of Things (IoT) Web standard technology that enables the communication between smart devices and web-based applications. In order for WoT to be possible, monitoring of all devices connected to the Internet have to be possible. To this end, various efforts are being made to develop network monitoring applications using the latest Web front-end frameworks, not traditional web-based monitoring. This paper examines and describes the possibilities of applying Web front-end frameworks such as React, Angular and Svelte to the development of network monitoring applications for WoT. This paper also describes the pros and cons of two major frameworks, React and Angular, in developing monitoring applications that support the cross-platforms and cross-browsers in WoT environments and examines the applicability of them by developing simple network monitoring applications using React.

Constructing Java Vulnerable API List based on Java Access Permission Checking Tree (자바 접근 권한 검사 트리 기반의 자바 취약 API 리스트 생성)

  • Park, Hyo-Seong;Park, Chul-Woo;Lim, Young-Chan;Kim, Ki-Chang
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.5 no.2
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    • pp.289-296
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    • 2015
  • Java is an interpreted language that can run on a variety of platforms, also Java has a number of useful features for network. Due to theses features of Java language, Java is used in various fields. In this paper, we will talk about how the malware that threaten the Java Security Manager of the Java Virtual Machine is using the vulnerability of the Java Virtual Machine. And for corresponding measures, this paper suggest vulnerability analysis method of Java system class by using Java Call Graph and Java Access Permission Checking Tree. By suggesting that, we want to lay groundwork for preventing Java security threats in advance.

An Industry-Service Classification Development of Metaverse Platform (메타버스 플랫폼 활용 산업-서비스 분류체계 개발)

  • Yun, Seung-Mo;Leem, Choon-Seong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.253-258
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    • 2021
  • With the 4th Industrial Revolution and the development of technology, markets of the VR&AR have increased. Also due to COVID-19 pandemic, demands for a digital environment were required because of physical space constraints. Firms are trying to solve this problem by using Metaverse platforms. However, with markets such as Metaverse, VR, AR, and Digital Twins are expanding, prior research on Metaverse definition or classification system is insufficient. Based on understanding VR&AR, Digital Twin, this study established a Industry-Service classification for Metaverse by defining Case studies on Metaverse and through prior research. And by Industry-Service classification for Metaverse this paper propose Metaverse Industry-Service Matrix to analyze the trend and possibility of Metaverse Platform

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A Study on the Perception of Metaverse Fashion Using Big Data Analysis

  • Hosun Lim
    • Fashion & Textile Research Journal
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    • v.25 no.1
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    • pp.72-81
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    • 2023
  • As changes in social and economic paradigms are accelerating, and non-contact has become the new normal due to the COVID-19 pandemic, metaverse services that build societies in online activities and virtual reality are spreading rapidly. This study analyzes the perception and trend of metaverse fashion using big data. TEXTOM was used to extract metaverse and fashion-related words from Naver and Google and analyze their frequency and importance. Additionally, structural equivalence analysis based on the derived main words was conducted to identify the perception and trend of metaverse fashion. The following results were obtained: First, term frequency(TF) analysis revealed the most frequently appearing words were "metaverse," "fashion," "virtual," "brand," "platform," "digital," "world," "Zepeto," "company," and "game." After analyzing TF-inverse document frequency(TF-IDF), "virtual" was the most important, followed by "brand," "platform," "Zepeto," "digital," "world," "industry," "game," "fashion show," and "industry." "Metaverse" and "fashion" were found to have a high TF but low TF-IDF. Further, words such as "virtual," "brand," "platform," "Zepeto," and "digital" had a higher TF-IDF ranking than TF, indicating that they had high importance in the text. Second, convergence of iterated correlations analysis using UNICET revealed four clusters, classified as "virtual world," "metaverse distribution platform," "fashion contents technology investment," and "metaverse fashion week." Fashion brands are hosting virtual fashion shows and stores on metaverse platforms where the virtual and real worlds coexist, and investment in developing metaverse-related technologies is under way.

COVID-19's Rapid Digitalization of Construction Education: Built Environment Instructor Experience in Kwazulu-Natal, South Africa.

  • Mall, Ayesha;Haupt, Theodore C
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.476-483
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    • 2022
  • The novel coronavirus pandemic has had a significant impact on society and everyday life. The pandemic imposed a global shutdown leading to many challenges such as the suspension of academic programs at universities. The result of this suspension contributed to the rapid overnight migration of educational activities from traditional face-to-face learning to a virtual environment which until then was unfamiliar to both instructors and students. This study identified the experiences faced by built environment higher education instructors in KwaZulu-Natal, South Africa during this sudden switch to online teaching and learning. This pilot study employed a quantitative research approach to survey instructor experiences on online teaching and learning during a global pandemic. The data was computed and analyzed using IBM Statistical Package for Social Sciences (SPSS) version 27. Descriptive statistics were used to analyze the data collected. The study sample comprised of 20 higher education instructors in the region of the KwaZulu Natal province in South Africa. Findings from the study revealed that instructors faced adaptive challenges with rapidly having to redesign and remodel the mode of academic course delivery and assessments to suit an online platform. Additionally, instructors observed that students faced technological challenges such as connectivity and navigating the online learning management system platforms. The challenges identified by instructors and students can be effectively transformed to opportunities for future learning under the 'new normal'.

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Development of NFT Platform for Improvement of Accessibility to Domestic Users (국내 사용자 접근성 향상을 위한 NFT 플랫폼 개발)

  • Lee, Hyo-Sang;Oh, Jin-woo;Oh, Am-suk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.233-235
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    • 2022
  • The purpose of this paper is to develop a platform using NFT, which serves as a certificate for the service of Web 3.0, which is being decentralized and utilized in connection with blockchain technology. The NFT platform is a platform that can smoothly use platforms that existed only overseas in Korea, and develops a platform using Klaytn to increase accessibility by solving problems such as ETH fees and transmission speeds. Through the NFT platform using Klaytn, domestic users can expect high utilization through easier accessibility and can be used for metaverse, games, etc.

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Proposal of Makeup's Function on the Metaverse Digital Platform - Focusing on Zepeto - (메타버스 디지털 플랫폼의 메이크업 기능 제안 - 제페토를 중심으로 -)

  • Se Mi Nam;Eun Sil Kim
    • Fashion & Textile Research Journal
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    • v.25 no.6
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    • pp.739-744
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    • 2023
  • With the popularization of 5G networks and the development of AI (artificial intelligence) technology, Metaverse, which creates production capacity by combining virtual space and reality, is attracting attention. In this study, we searched for makeup applications with more than 100 million downloads from October 11, 2020 to November 3, 2020 through the Google Play Store. As a result of the search, four applications were found: YouCam Makeup, YouCam Perfect, Beauty Plus, and Sweet Snap. Based on the functions provided by the four applications, we attempted to suggest makeup functions applicable to Zepeto's avatar. Functions for the eyes (eyeliner, eyelashes, mascara, eye shadow, eye shape, eyebrow shape, lenses, double eyelids), functions for the nose (nose shape), functions for the mouth (lipstick, lip shape, smile function) ) Functions corresponding to the facial contour (contour, skin foundation, blusher, shading, highlighter, face painting, theme makeup) and functions corresponding to the body (body adjustment) were proposed. This study is the first in the beauty field to propose a method of applying the functions of the Metaverse platform as the importance of digital platforms is highlighted, and is the first to propose a makeup function applied to the Metaverse so that it can be used as important basic data in the future.

Makeup Application Preference Survey (뷰티 애플리케이션 선호도 조사)

  • Se Mi Nam;Eun Sil Kim
    • Fashion & Textile Research Journal
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    • v.25 no.6
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    • pp.725-731
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    • 2023
  • With the development of technology, many changes have emerged in how consumers acquire information without restrictions on their location and time. As changes and interest in digital platforms increase, beauty industry applications are being developed in order to attract customers. Therefore, this study has provided the empirical data necessary for the development and advancement of beauty applications in the future by analyzing preferences for makeup applications according to age. The method of this study involved searching for makeup applications that had been downloaded more than 100 million times through the Google Play Store between October 11, 2020 to November 3, 2020. Four applications were identified: YouCma Makeup, YouCam Perfect, Beauty Plus, and Sweet Snap. The surveyed functions were tested on 100 people in their teens, 20s, 30s, and 40s, with a similar profile of 100 people in their teens, 20s, 30s, and 40s surveyed from January 3, 2022 to April 23, 2022. The functional preferences of the application were investigated, and the results were analyzed through frequency analysis. The results are as follows: the application that received the greatest preference for features by age was YCM, which was found to have subdivided functions that provide users a wider range of choices and more detailed work when compared to other applications which enable photo retouching.