• Title/Summary/Keyword: technology platforms

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Case Study of Connection and Convergence among Different Types of Academic Contents: Centered on the KISTI CLICK (이종 학술콘텐트 간 연계.융합 사례연구 - KISTI CLICK 중심 -)

  • Lee, Sang-Gi;Choi, Hee-Yoon;Kim, Sun-Tae;Lee, Tae-Seok;Han, Hee-Jun;Hyun, Mi-Hwan;Yae, Yong-Hee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.19 no.1
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    • pp.5-17
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    • 2008
  • Rapid expansion of digital convergence, involving services and technologies from different areas that are combining to create new forms of products or services. Digital convergence itself is changing from technology-based to content-based, to include the convergence of different types of contents as well as contents of the same kind. In line with this trend, vigorous researches are being done to combine various formats and types of academic contents to create new services. In this paper, we examine cases of connection and convergence among different types of academic contents and analyze its characteristics, as well as the pros and cons. We especially focus on CLICK, KISTI's model of connection and convergence among different types of contents, to introduce a special feature of convergence platforms, difficulties involved and their solutions, and researches to be conducted in the future.

Ethereum Phishing Scam Detection based on Graph Embedding and Semi-Supervised Learning (그래프 임베딩 및 준지도 기반의 이더리움 피싱 스캠 탐지)

  • Yoo-Young Cheong;Gyoung-Tae Kim;Dong-Hyuk Im
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.5
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    • pp.165-170
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    • 2023
  • With the recent rise of blockchain technology, cryptocurrency platforms using it are increasing, and currency transactions are being actively conducted. However, crimes that abuse the characteristics of cryptocurrency are also increasing, which is a problem. In particular, phishing scams account for more than a majority of Ethereum cybercrime and are considered a major security threat. Therefore, effective phishing scams detection methods are urgently needed. However, it is difficult to provide sufficient data for supervised learning due to the problem of data imbalance caused by the lack of phishing addresses labeled in the Ethereum participating account address. To address this, this paper proposes a phishing scams detection method that uses both Trans2vec, an effective graph embedding techique considering Ethereum transaction networks, and semi-supervised learning model Tri-training to make the most of not only labeled data but also unlabeled data.

Generational Fandom Culture Shift in K-Pop Idol Fandom and Social Media Use (팬덤의 소셜 미디어 이용 양태에 따른 아이돌 세대별 팬덤 문화의 변화)

  • Han, Mihwa;Na, Eunkyung
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.605-616
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    • 2022
  • Given that the current Idol fandom has been enormously affected by the development of digital technology such as the Internet, mobile or social media, this study explored how generational fandom culture has been shifted depending on the fandom's use of differential online platforms and services, i.e., online community vs. social network services. The survey results indicate that 3rd generation fandom showed significantly greater intimacy, greater attachment/worship, greater similarity toward Idol stars as well as greater fandom loyalty and greater fandom identity than 1st and 2nd generation fandom. Similarly, compared to online community centered fandom, social network centered fandom showed greater intimacy, greater attachment/worship, greater similarity as well as greater fandom loyalty and identity than community-centered fandom.

Determining Potential Link between Environmental and Clinical Isolates of Cryptococcus neoformans/Cryptococcus gattii Species Complexes Using Phenotypic and Genotypic Characterisation

  • Kenosi Kebabonye;Mosimanegape Jongman;Daniel Loeto;Sikhulile Moyo;Wonderful Choga;Ishmael Kasvosve
    • Mycobiology
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    • v.51 no.6
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    • pp.452-462
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    • 2023
  • Opportunistic infections due to Cryptococcus neoformans and C. gattii species complexes continue to rise unabated among HIV/AIDS patients, despite improved antifungal therapies. Here, we collected a total of 20 environmental and 25 presumptive clinical cryptococcal isolates from cerebrospinal fluid (CSF) samples of 175 patients enrolled in an ongoing clinical trial Ambition 1 Project (Botswana-Harvard Partnership). Identity confirmation of the isolates was done using MALDI-TOF MS and PCR. We describe the diversity of the isolates by PCR fingerprinting and sequencing (Oxford Nanopore Technology) of the intergenic spacer region. Mating types of the isolates were determined by amplification of the MAT locus. We report an unusual prevalence of 42.1% of C. neoformans × C. deneoformans hybrids Serotype AD (n = 16), followed by 39.5% of C. neoformans Serotype A (n = 15), 5.3% of C. deneoformans, Serotype D (n = 2), 7.9% of C. gattii (n = 3), and 5.3% of C. tetragattii (n = 2) in 38 representative isolates that have been characterized. Mating type-specific PCR performed on 38 representative environmental and clinical isolates revealed that 16 (42.1%) were MATa/MAT𝛼 hybrids, 17 (44.7%) were MAT𝛼, and five (13.2%) possessed MATa mating type. We used conventional and NGS platforms to demonstrate a potential link between environmental and clinical isolates and lay a foundation to further describe mating patterns/history in Botswana.

An Efficiency Analysis of an Artificial Intelligence Medical Image Analysis Software System : Focusing on the Time Behavior of ISO/IEC 25023 Software Quality Requirements (인공지능 기술 기반의 의료영상 판독 보조 시스템의 효율성 분석 : ISO/IEC 25023 소프트웨어 품질 요구사항의 Time Behavior를 중심으로)

  • Chang-Hwa Han;Young-Hwang Jeon;Jae-Bok Han;Jong-Nam Song
    • Journal of the Korean Society of Radiology
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    • v.17 no.6
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    • pp.939-945
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    • 2023
  • This study analyzes the 'performance efficiency' of AI-based reading assistance systems in the field of radiology by measuring their 'time behavior' properties. Due to the increase in medical images and the limited number of radiologists, the adoption of AI-based solutions is escalating, stimulating a multitude of studies in this area. Contrary to the majority of past research which centered on AI's diagnostic precision, this study underlines the significance of time behavior. Using 50 chest X-ray PA images, the system processed images in an average of 15.24 seconds, demonstrating high consistency and reliability, which is on par with leading global AI platforms, suggesting the potential for significant improvements in radiology workflow efficiency. We expect AI technology to play a large role in the field of radiology and help improve overall healthcare quality and efficiency.

Systematic Literature Review of Smart Trade Contract Research (스마트 무역계약 연구의 체계적 문헌고찰)

  • Ho-Hyung Lee
    • Korea Trade Review
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    • v.48 no.3
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    • pp.243-262
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    • 2023
  • This study provides a systematic review of smart trade contracts, examining the research trends and theoretical background of utilizing smart contracts and blockchain technology for the digitalization and automation of trade contracts. Smart trade contracts are a concept that applies the automated contract system based on blockchain to trade-related transactions. The study analyzes the technical and legal challenges and proposes solutions. The technical aspect covers the development of smart contract platforms, scalability and performance improvements of blockchain networks, and security and privacy concerns. The legal aspect addresses the legal enforceability of smart contracts, automatic execution of contract conditions, and the responsibilities and obligations of contract parties. Smart trade contracts have been found to have applications in various industries such as international trade, supply chain management, finance, insurance, and energy, contributing to the ease of trade finance, efficiency of supply chains, and business model innovation. However, challenges remain in terms of legal regulations, interaction with existing legal frameworks, and technological aspects. Further research is needed, including empirical studies, business model innovation, resolution of legal issues, security and privacy considerations, standardization and collaboration, and user experience studies to address these challenges and explore additional aspects of smart trade contracts.

A Study on the Image/Video Data Processing Methods for Edge Computing-Based Object Detection Service (에지 컴퓨팅 기반 객체탐지 서비스를 위한 이미지/동영상 데이터 처리 기법에 관한 연구)

  • Jang Shin Won;Yong-Geun Hong
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.11
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    • pp.319-328
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    • 2023
  • Unlike cloud computing, edge computing technology analyzes and judges data close to devices and users, providing advantages such as real-time service, sensitive data protection, and reduced network traffic. EdgeX Foundry, a representative open source of edge computing platforms, is an open source-based edge middleware platform that provides services between various devices and IT systems in the real world. EdgeX Foundry provides a service for handling camera devices, along with a service for handling existing sensed data, which only supports simple streaming and camera device management and does not store or process image data obtained from the device inside EdgeX. This paper presents a technique that can store and process image data inside EdgeX by applying some of the services provided by EdgeX Foundry. Based on the proposed technique, a service pipeline for object detection services used core in the field of autonomous driving was created for experiments and performance evaluation, and then compared and analyzed with existing methods.

An Empirical Study on the User Experience Model of Music Streaming Service (음악 스트리밍 서비스 사용자 경험 모델에 관한 실증 연구)

  • Lee, Jeonga;Kim, Hyung Jin;Lee, Ho Geun
    • Informatization Policy
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    • v.30 no.3
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    • pp.92-121
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    • 2023
  • As music streaming services (MSS) involve various interactions with users during the music consumption process, it is important to understand the user experience and manage the service accordingly. This study developed a user experience model for MSS by theoretically linking the quality characteristics considered important by music service users with the structure of user experience. PLS analysis was then performed using survey data to test the model. As a result, functionality (search, browsing, and personalized recommendation), UI usability, content quality (currentness, sufficiency, relevance), and monetary cost were found to be key experience factors that determine the experience consequence, i.e., user satisfaction. In addition, in a supplementary analysis comparing domestic and global services, differences in user experience were found between the two groups in terms of functionality and content quality. The user experience model of MSS proposed in this study serves as a new foundation for theory-based research in this field and provides meaningful implications for the competitive landscape among music streaming service platforms and for their competitive strategies.

A Critical Analysis of Learning Technologies and Informal Learning in Online Social Networks Using Learning Analytics

  • Audu Kafwa Dodo;Ezekiel Uzor OKike
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.71-84
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    • 2024
  • This paper presents a critical analysis of the current application of big data in higher education and how Learning Analytics (LA), and Educational Data Mining (EDM) are helping to shape learning in higher education institutions that have applied the concepts successfully. An extensive literature review of Learning Analytics, Educational Data Mining, Learning Management Systems, Informal Learning and Online Social Networks are presented to understand their usage and trends in higher education pedagogy taking advantage of 21st century educational technologies and platforms. The roles of and benefits of these technologies in teaching and learning are critically examined. Imperatively, this study provides vital information for education stakeholders on the significance of establishing a teaching and learning agenda that takes advantage of today's educational relevant technologies to promote teaching and learning while also acknowledging the difficulties of 21st-century learning. Aside from the roles and benefits of these technologies, the review highlights major challenges and research needs apparent in the use and application of these technologies. It appears that there is lack of research understanding in the challenges and utilization of data effectively for learning analytics, despite the massive educational data generated by high institutions. Also due to the growing importance of LA, there appears to be a serious lack of academic research that explore the application and impact of LA in high institution, especially in the context of informal online social network learning. In addition, high institution managers seem not to understand the emerging trends of LA which could be useful in the running of higher education. Though LA is viewed as a complex and expensive technology that will culturally change the future of high institution, the question that comes to mind is whether the use of LA in relation to informal learning in online social network is really what is expected? A study to analyze and evaluate the elements that influence high usage of OSN is also needed in the African context. It is high time African Universities paid attention to the application and use of these technologies to create a simplified learning approach occasioned by the use of these technologies.

Policies and ICT Strategies based on Health Needs for Multicultural Families (다문화가족의 건강욕구 분석 및 정보접근성 향상을 위한 ICT 활용 방안)

  • Suyong Jeong;Sun-Young Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.2
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    • pp.1-14
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    • 2024
  • The study aims to comprehend the health needs of multicultural families, identify relevant policies, and explore ways to enhance health information accessibility through Information and Communication Technology (ICT). Employing a qualitative research method, the health status of multicultural families was analyzed through literature review, followed by in-depth interviews. The findings revealed a lower priority given to health policies for multicultural families compared to other governmental sectors, with limited discussion on leveraging ICT for improved accessibility. In-depth interviews highlighted four main themes: "Early experiences in Korean society," "Language barriers in medical facilities," "Unmet healthcare needs for various reasons," and "High demand for health-related services." To safeguard health rights and enhance information accessibility, we recommend strengthening linguistic support in healthcare institutions, implementing government efforts for multicultural families, and designing user-centered ICT platforms.