• Title/Summary/Keyword: Platform characteristics

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Implementation of Blockchain-based Play-To-Donate Platform (블록체인 기반 실시간 기부 플랫폼 개발)

  • Sung, Juhyun;Lee, Minuk;Hwang, Seongtaek;Lee, Juyeol;Lee, Jihoon
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.3
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    • pp.98-100
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    • 2022
  • This paper presents a new blockchain based donation platform combined with a type of gaming application. The proposed donation platform is similar to existing play-to-earn (P2E), but it has different characteristics such as non-liquidated token and direct transfer to a celebrity donation organization. Moreover, it has advantages like a robustness for counterfeiting and falsification as well as enhanced donating experience.

Analysis of User Reviews of Electric Kickboard Sharing Service Using Topic Modeling (토픽 모델링을 활용한 전동킥보드 공유 서비스의 사용자 리뷰 분석)

  • Jung Seung Lee
    • Journal of Information Technology Applications and Management
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    • v.31 no.1
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    • pp.163-175
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    • 2024
  • This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

The Role and Effect of Artificial Intelligence (AI) on the Platform Service Innovation: The Case Study of Kakao in Korea (플랫폼 서비스 혁신에 있어 인공지능(AI)의 역할과 효과에 관한 연구: 카카오 그룹의 인공지능 활용 사례 연구)

  • Lee, Kyoung-Joo;Kim, Eun-Young
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.175-195
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    • 2020
  • The development of platform service based on the information and communication technology has revolutionized patterns of commercial transactions, driving the growth of global economy. Furthermore, the radical advancement of artificial intelligence(AI) presents the huge potential to innovate almost all the industrial and economic activities. Given these technological developments, the goal of this paper is to investigate AI's impact on the platform service innovation as well as its influence on the business performance. For the goal, this paper presents the review of the types of service innovation, the nature of platform services, and technological characteristics of leading AI technologies, such as chatbot and recommendation system. As an empirical study, this paper performs a multiple case study of Kakao Group which is the leading mobile platform service with the most advanced AI in Korea. To understand the role and effect of AI on Kakao platform service, this study investigated three cases, including chatbot agent of Kakao Bank, Smart Call service of Kakao Taxi, and music recommendation system of Kakao Mellon. The analysis results of the case study show that AI initiated innovations in platform service concepts, service delivery, and customer interface, all of which lead to a significant decrease in the transaction costs and the personalization of services. Finally, for the successful development of AI, this research emphasizes the significance of the accumulation of customer and operational data, the AI human capital, and the design of R&D organization.

Exploring Possibilities of Intermediary Living Lab as a Platform (중간지원조직의 리빙랩 현황과 플랫폼으로서의 발전 가능성 탐색)

  • Seong, Jieun;Han, Kyu-young
    • Journal of Korea Technology Innovation Society
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    • v.20 no.4
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    • pp.915-938
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    • 2017
  • This study examines the case of living lab led by intermediary and explores the development possibility as living lab platform. The analyzed cases are 'The Seoul Innovation Park Living lab', 'Korea Senior Living lab' of Seongnam Senior Experience complex, and 'Disaster Safety Living lab'. As a result of the analysis, all three cases have formed a user panel to form a living lab platform, and provide living lab service to internal and external organizations. A common feature that combines a technology platform with a 4Ps-based governance platform is identified. However, the characteristics, the meaning, and the process are different from case to case. In the future, the living lab platform needs to share learning experiences that are going on individually, since domestic living lab platform is in the early stage. Through this, it is necessary to seek collaboration and cooperation with related similar projects, and to jointly promote institutional and physical infrastructures related to living labs.

An User Authentication Mechanism in the OSGi Service Platform Environment (OSGi서비스 플랫폼 환경에서의 사용자 인증 메커니즘)

  • 전경석;문창주;박대하;백두권
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.2
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    • pp.191-204
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    • 2003
  • In the home gateway environment, several characteristics for the user authentication mechanism should be reflected separately from the existing distributed service environment. First, the platform of a home gateway is a component based system that its services are installed dynamically. Second, the convenience that user can use several services by authentication of once should be offered. Finally, the system resources of a home gateway are restricted. However, a user authentication mechanism that reflected these characteristics is not shown at the user admin service specification of the OSGi service platform.(OSGi is the representative standardization organization of hone gateway.) Also, there is no existing authentication protocol that satisfies these qualities at the same time. In this paper, we propose a new user authentication mechanism considering those characteristics for the home gateway environment. We also design and implement an independent authentication service bundle based on the OSGi service platform so that it can perform user authentication operations for each bundle service. We supplement and extend the Kerberos Protocol that can apply.

The Effect of Mobile e-Learning Contents Platform Characteristics on Reuse Intention

  • Na, Jun-Gyu;Kim, Dongyeon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.183-191
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    • 2020
  • Many learners are encountering e-Learning contents with smart devices and contents provides are carefully observing learners' reuse intention and behavior. Therefore, this study investigated the effect of e-Learning content platform characteristics on reuse intention for 200 users with smartphone-based e-Learning experience. The results show that the characteristics affecting reuse intention are content quality, interactivity, and ubiquity. Moreover, for men, only interactivity affects reuse intention, and for women, ubiquity and content quality affect reuse intention. When using smartphone-based e-Learning for less than an hour a day, only content quality affects reuse intention. On the contrary, ubiquity, convenience, and interactivity influence reuse intention when learning for more than one hour. Our results suggest meaningful implications that how e-Learning companies change their smartphone-based platform business strategy and how they utilize its key factors.

Dynamic storage management for mobile platform based on the characteristics of mobile applications (응용프로그램 특성을 고려한 모바일 플랫폼의 동적 메모리 관리기법)

  • You, Yong-Duck;Park, Sang-Hyun;Choi, Hoon
    • The KIPS Transactions:PartA
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    • v.13A no.7 s.104
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    • pp.561-572
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    • 2006
  • Performance of the mobile devices greatly depends on the efficient resource management because they are usually resource-restricted. In particular, the dynamic storage allocation algorithms very important part of the mobile device's operating system and OS-like software platform. The existing dynamic storage allocation algorithms did not consider application's execution style and the type, life-time, and characteristics of memory objects that the application uses. Those algorithms, as a result, could not manage memory efficiently Therefore, this Paper analyzes the mobile application's execution characteristics and proposes anew dynamic storage allocation algorithm which saves the memory space and improves mobile application's execution speed. The test result shows that the proposed algorithm works 6.5 times faster than the linked-list algorithm[11], 2.5 times faster better than the Doug. Lea's algorithm[12] and 10.5 times faster than the Brent algorithm[14].

Characteristics of PM10 and PM2.5 Concentrations at Subway Stations in Busan for 3 years (2015~2017) (부산지역 지하역사의 최근 3년간(2015~2017년) PM10과 PM2.5 농도 특성)

  • Jeon, Byung-Il
    • Journal of Environmental Science International
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    • v.28 no.7
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    • pp.581-594
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    • 2019
  • This research investigated the characteristics of $PM_{10}$ and $PM_{2.5}$ concentrations at the main subway stations in Busan. Annual mean $PM_{10}$ concentrations at the Seomyeon 1- waiting room and platform were $51.3{\mu}g/m^3$ and $47.5{\mu}g/m^3$, respectively, and the annual $PM_{2.5}$ concentration at the Seomyeon 1- platform was $28.8{\mu}g/m^3$. $PM_{2.5}$/$PM_{10}$ ratio at Seomyeon 1-platform and Dongnae station were 0.58 and 0.53, respectively. Diurnal variation of $PM_{10}$ concentration at subway stations in Busan was categorized into four types, depending on the number of peaks and the times at which the peaks occurred. Unlike the areas outside of the subway stations which reported maximum $PM_{10}$ concentration mostly in spring across the entire locations, the interiors of the subway stations reported the maximum $PM_{10}$ concentration in spring, winter, and even summer, depending on their location. $PM_{10}$ concentration was highest on Saturday and lowest on Sunday. The numbers of days when $PM_{10}$ concentration exceeded $100{\mu}g/m^3$ and $80{\mu}g/m^3$ per day over the last three years at the subway stations in Busan were 36 and 239, respectively. The findings of this research are expected to enhace the understanding of the fine particle characteristics at subway stations in Busan and be useful for developing a strategy for controlling urban indoor air quality.

Concept and Characteristics of Intelligent Science Lab (지능형 과학실의 개념과 특징)

  • Hong, Oksu;Kim, Kyoung Mi;Lee, Jae Young;Kim, Yool
    • Journal of The Korean Association For Science Education
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    • v.42 no.2
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    • pp.177-184
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    • 2022
  • This article aims to explain the concept and characteristics of the 'Intelligent Science Lab', which is being promoted nationwide in Korea since 2021. The Korean Ministry of Education creates a master plan containing a vision for science education every five years. The most recently announced '4th Master plan for science education (2020-2024)' emphasizes the policy of setting up an 'intelligent science lab' in all elementary and secondary schools as an online and offline space for scientific inquiry using advanced technologies, such as Internet of Things and Augmented and Virtual Reality. The 'Intelligent Science Lab' project is being pursued in two main directions: (1) developing an online platform named 'Intelligent Science Lab-ON' that supports science inquiry classes, and (2) building a science lab space in schools that encourages active student participation while utilizing the online platform. This article presents the key features of the 'Intelligent Science Lab-ON' and the characteristics of intelligent science lab spaces newly built in schools. Furthermore, it introduces inquiry-based science learning programs developed for intelligent science labs. These programs include scientific inquiry activities in which students generate and collect data ('data generation' type), utilize datasets provided by the online platform ('data utilization' type), or utilize open and public data sources ('open data source' type). The Intelligent Science Lab project is expected to not only encourage students to engage in scientific inquiry that solves individual and social problems based on real data, but also contribute to presenting a model of online and offline linked scientific inquiry lessons required in the post-COVID-19 era.

Music Listening Behavior analysis of Twitter User and A Comparative Study of Domestic Music Ranking (트위터 이용자의 음악 청취 행태 분석 및 국내 음악 순위와의 비교 연구)

  • Yoo, Young-Seok;Sohn, Bang-Yong
    • Journal of Digital Convergence
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    • v.14 no.5
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    • pp.309-316
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    • 2016
  • While consumption patterns have changed online music, online music platform began to emerge. While people prefer popular music recommendation, they use the online music platform chart or use the SNS Platform to share information. Online platform Ranking is different because of different properties held by members. Meanwhile, we need music charts characteristics of SNS users. So there were a lot of attempts to chart a comprehensive variety of platforms. And continue to emerge theses linking the musical characteristics and SNS. In this paper, We have developed a new chart using the behavior of Twitter Users who listen to music, and studies comparing the results with existing chart.