• Title/Summary/Keyword: Digital Analysis

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A Method of Forensic Authentication via File Structure and Media Log Analysis of Digital Images Captured by iPhone (아이폰으로 촬영된 디지털 이미지의 파일 구조 및 미디어 로그 분석을 통한 법과학적 진본 확인 방법)

  • Park, Nam In;Lee, Ji Woo;Jeon, Oc-Yeub;Kim, Yong Jin;Lee, Jung Hwan
    • Journal of Korea Multimedia Society
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    • v.24 no.4
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    • pp.558-568
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    • 2021
  • The digital image to be accepted as legal evidence, it is important to verify the authentication of the digital image. This study proposes a method of authenticating digital images through three steps of comparing the file structure of digital images taken with iPhone, analyzing the encoding information as well as media logs of the iPhone storing the digital images. For the experiment, digital image samples were acquired from nine iPhones through a camera application built into the iPhone. And the characteristics of file structure and media log were compared between digital images generated on the iPhone and digital images edited through a variety of image editing tools. As a result of examining those registered during the digital image creation process, it was confirmed that differences from the original characteristics occurred in file structure and media logs when manipulating digital images on the iPhone, and digital images take with the iPhone. In this way, it shows that it can prove its forensic authentication in iPhone.

Development of Framework for Digital Map Time Series Analysis of Earthwork Sites (토공현장 디지털맵 시계열 변화분석 프레임워크 기술개발)

  • Kim, Yong-Gun;Park, Su-Yeul;Kim, Seok
    • Journal of KIBIM
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    • v.13 no.1
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    • pp.22-32
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    • 2023
  • Due to the increased use of digital maps in the construction industry, there is a growing demand for high-quality digital map analysis. With the large amounts of data found in digital maps at earthwork sites, there is a particular need to enhance the accuracy and speed of digital map analysis. To address this issue, our study aims to develop new technology and verify its performance to address non-ground and range mismatch issues that commonly arise. Additionally, our study presents a new digital map analysis framework for earthwork sites that utilizes three newly developed technologies to improve the performance of digital map analysis. Through this, it achieved about 95% improvement in analysis performance compared to the existing framework. This study is expected to contribute to the improvement of the quality of digital map analysis data of earthworks.

Exploratory Autopsy on Digital Payment Models

  • Wang, Tao;Kim, Chang-Su;Kim, Ki-Su
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.646-651
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    • 2007
  • Secure digital payment is critical in the successful shaping of global digital business. Digital payments are increasingly being used as a substitute to traditional payments, contributing markedly to the efficiency of the economy. The focus of every digital business transaction is to minimize risks arising from transactions. It is essential to ensure the security of digital payment whether used in internal networks or over wireless Internet. This paper analyses secure digital payment methods from the viewpoint of systemic security and transaction security. According to comparative analysis of digital payment models, this paper proposes a comparative analysis framework to investigate and evaluate secure digital payment. In conclusion, the comparative analysis framework, comparison of digital payment models and mobile payment models proposes a useful academic and practical foundation to enhance the understanding of secure digital payment methods. It also provides academic background and practical guidelines for the development of secure digital payment systems.

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Determinants of Mobile Digital Information Usage among Senior Consumers: Focusing on secondary digital divide (시니어 소비자의 모바일 디지털정보 활용의 결정 요인: 2차적 디지털 격차를 중심으로)

  • Kim, Hyo Jung;Lee, Jin Myong
    • Human Ecology Research
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    • v.56 no.6
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    • pp.493-506
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    • 2018
  • This study analyzes factors that determine the usage of digital information by senior consumers in the mobile environment. Senior consumers are alienated from digital information in South Korea; therefore, there have been increasing attempts to resolve this digital divide and reduce the digital information usage gap between young adults and senior consumers. The study used panel data from the National Information Society Agency (2017); there were 1,463 participants, aged 50-79 years. SPSS 19.0 was used to conduct the statistical analyses for frequency, factor analysis, Cronbach' ${\alpha}$ analysis, descriptive analysis and hierarchical multiple-regression analysis. The results are as follows. First, negative attitude toward information society negatively influenced the mobile digital information usage in diversity context. Second, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & Mobile, and family support positively influenced the mobile digital information usage in diversity context. Third, negative attitudes toward information society negatively influenced the mobile digital information usage in quality context. Forth, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & mobile, and family support positively influenced the mobile digital information usage in quality context. The study results can help further understand mobile usage behaviors among senior citizens and the implications on their quality of life in the digital information era.

Analysis on Topics of Digital Preservation Researches and Courses (디지털 보존 관련 학술연구 및 교과 주제분석)

  • Jeong, Uiyeon;Choi, Sanghee
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.3
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    • pp.25-43
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    • 2019
  • Recently there has been a growing interest in digital preservation and digital curation with rapid increase of digital resource. This study aims to investigate the research topics and the course topics related digital preservation and digital curation. The course information is collected from the curricular of library and information science departments and archival science departments in leading countries such as US, England, Ireland, Canada and New Zealand. Title keyword profiling and network analysis were adapted to discover core research and education areas. The key topics in the abstracts of research papers and the contents of the course were also illustrated by these methods. In the research analysis, archival system is the biggest area of researches related digital preservation and digital curation. Courser analysis shows digital curation education and process is the important area of education. As a result of content analysis, plan and strategy is a notable topic of research and record management process is a major topic of courses for digital preservation and digital curation. In addition, format of digital resource is an important topic for research and courses.

Digital Life Index of Babyboom Generation (베이비붐세대의 디지털라이프 지수)

  • Kwon, Soon-Jae;Kim, Mee Ryoung
    • The Journal of Information Systems
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    • v.23 no.1
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    • pp.161-184
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    • 2014
  • Our study measures the Digital Life Index (DLI) of baby boomers by considering the utilization of digital devices in their everyday life. The study was conducted by implementing the following three-step approach: (1) development of survey questions and data collection; (2) build Digital Life Index (DLI) model and lastly; (3) empirical analysis using the Digital Life Index (DLI). In the first stage in order to develop the survey questions to measure the digital index, two surveys were conducted. For the first preliminary survey, it was done based on the existing literatures which enabled this investigation through FGI analysis involving real professionals. The second survey was conducted by commissioning a specialized external firm. In this survey, a total of 400 data was collected to verify the validity and objectivity of the data sample. The data gathered through the survey questions was used to develop the digital index. Firstly, the appropriate factors were extracted by conducting factor analysis. This factor analysis validates and verifies the factors which are appropriate in measuring Digital Life Index (DLI). The derived factors are broadly divided into five main factors. The first factor describes the possession, purchase and use of digital device (x1). Meanwhile, the second factor describes the digital device's software (x2) and the third factor describes the participation in utilizing digital device (x3). The fourth factor describes the utilization of digital device in human personal relationship (x4) and lastly, the fifth factor describes the effect of digital device in everyday life and work environment (x5). Secondly, the digital index model was developed. The variables to represent the Digital Life Index (DLI) are ${\chi}1t,{\chi}2t,{\chi}3t,{\chi}4t$ and ${\chi}5t$. Furthermore, as experience in using the digital index grows overtime, the growth can be represented by the "S" shape. Based on the results, Digital Life Index(DLI) is distributed with the highest point at 90.3 and the lowest point at 25.9.

Author Co-citation Analysis for Digital Twin Studies (디지털 트윈 연구의 저자 동시인용 분석)

  • Kim, Sumin;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.28 no.3
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    • pp.39-58
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    • 2019
  • Purpose A digital twin is a digital replication of a physical system. Gartner identified the digital twin as one of the Gartner Top 10 Strategic Technology Trend for three years from 2017. The rapid development of the digital twin market is expected to bring about innovation and change throughout society, and much research has been done recently in academia. In this research, we tried to explore the main research trends for digital twin research. Design/methodology/approach We collected the digital twin research from Web of Science, and analyzed 804 articles that was published during time span of 2010-2018. A total of 41 key authors were selected based on the frequency of citation. We created a co-citation matrix for the core authors, and performed multivariate analysis such as cluster analysis and multidimensional scaling. We also conducted social network analysis to find the influential researchers in digital twin research. Findings We identified four major sub- areas of digital twin research: "Infrastructure", "Prospects and Challenges", "Security", and "Smart Manufacturing". We also identified the most influential researchers in digital twin research: Lee EA, Rajkumar R, Wan J, Karnouskos S, Kim K, and Cardenas AA. Limitation and further research suggestion were also discussed as a concluding remarks.

Needs Analysis of Digital Citizenship Education for University Students in South Korea: Using Importance-Performance Analysis

  • YOON, Seonghye;KIM, Seyoung;JUNG, Yeonji
    • Educational Technology International
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    • v.20 no.1
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    • pp.1-24
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    • 2019
  • The purpose of this study is to determine priorities for designing digital citizenship education based on the key indicators of importance-performance. Survey data were collected from 283 university students in South Korea and analyzed with Importance-Performance Analysis to diagnose the current level of digital citizenship and draw their needs for educational treatment. The results showed that for all the factors except the Technical Skills (TS), the level of importance was significantly higher than that of performance. Another finding indicated that in the Importance-Performance matrix all the factors were located in the first quadrant (i.e. maintaining the current state) and the third quadrant (i.e. low demands for improvement). Specifically, two items located in the second quadrant where urgent treatment is required could have to do with the increasingly active participation in socio-political issues raised in South Korea. This study offered a window into what to focus on when designing digital citizenship education based on the systematic analysis of the needs for digital citizenship education in South Korea.

Perceptions and Trends of Digital Fashion Technology - A Big Data Analysis - (빅데이터 분석을 이용한 디지털 패션 테크에 대한 인식 연구)

  • Song, Eun-young;Lim, Ho-sun
    • Fashion & Textile Research Journal
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    • v.23 no.3
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    • pp.380-389
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    • 2021
  • This study aimed to reveal the perceptions and trends of digital fashion technology through an informational approach. A big data analysis was conducted after collecting the text shown in a web environment from April 2019 to April 2021. Key words were derived through text mining analysis and network analysis, and the structure of perception of digital fashion technology was identified. Using textoms, we collected 8144 texts after data refinement, conducted a frequency of emergence and central component analysis, and visualized the results with word cloud and N-gram. The frequency of appearance also generated matrices with the top 70 words, and a structural equivalent analysis was performed. The results were presented with network visualizations and dendrograms. Fashion, digital, and technology were the most frequently mentioned topics, and the frequencies of platform, digital transformation, and start-ups were also high. Through clustering, four clusters of marketing were formed using fashion, digital technology, startups, and augmented reality/virtual reality technology. Future research on startups and smart factories with technologies based on stable platforms is needed. The results of this study contribute to increasing the fashion industry's knowledge on digital fashion technology and can be used as a foundational study for the development of research on related topics.

The effects of farmers and fishers' digital information utilization level on Life satisfaction: Focusing on mediating effects of digital device use attitude (농어민의 디지털 정보 활용 수준이 삶의 만족도에 미치는 영향: 디지털기기 이용 태도를 매개변수로)

  • Jeon, Bong Chun;Yoon, Han Sung
    • The Journal of Information Systems
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    • v.33 no.1
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    • pp.69-90
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    • 2024
  • Purpose In this paper, among the four information vulnerable groups(disabled, elderly, low-income, farmers and fishermen), the mediating effect of digital device usage attitudes in the effect of digital information utilization level of farmers and fishermen with a large digital information gap with the general public on life satisfaction was verified. Design/methodology/approach This study summarizes existing research related to the digital information gap between farmers and fishermen, and the empirical analysis is based on hierarchical regression analysis based on the 2022 Digital Information Gap Report (survey data on 2,200 farmers and fishermen) published by the Korea Intelligence Information Society Promotion Agency. Among the four major information vulnerable groups (the disabled, the elderly, low-income groups, and farmers and fishermen), attitudes toward using digital devices were examined in terms of the impact of the level of digital information use on life satisfaction among farmers and fishermen, who have a relatively large digital information gap with the general public. It was verified as a mediating effect. Findings As a result of the empirical analysis, attitudes toward the use of digital devices were found to play a mediating role in the impact of the level of digital information use on life satisfaction.