• Title/Summary/Keyword: Information Platform

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A Hybrid Blockchain-Based E-Voting System with BaaS (BaaS를 이용한 하이브리드 블록체인 기반 전자투표 시스템)

  • Kang Myung Joe;Kim Mi Hui
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.8
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    • pp.253-262
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    • 2023
  • E-voting is a concept that includes actions such as kiosk voting at a designated place and internet voting at an unspecified place, and has emerged to alleviate the problem of consuming a lot of resources and costs when conducting offline voting. Using E-voting has many advantages over existing voting systems, such as increased efficiency in voting and ballot counting, reduced costs, increased voting rate, and reduced errors. However, centralized E-voting has not received attention in public elections and voting on corporate agendas because the results of voting cannot be trusted due to concerns about data forgery and modulation and hacking by others. In order to solve this problem, recently, by designing an E-voting system using blockchain, research has been actively conducted to supplement concepts lacking in existing E-voting, such as increasing the reliability of voting information and securing transparency. In this paper, we proposed an electronic voting system that introduced hybrid blockchain that uses public and private blockchains in convergence. A hybrid blockchain can solve the problem of slow transaction processing speed, expensive fee by using a private blockchain, and can supplement for the lack of transparency and data integrity of transactions through a public blockchain. In addition, the proposed system is implemented as BaaS to ensure the ease of type conversion and scalability of blockchain and to provide powerful computing power. BaaS is an abbreviation of Blockchain as a Service, which is one of the cloud computing technologies and means a service that provides a blockchain platform ans software through the internet. In this paper, in order to evaluate the feasibility, the proposed system and domestic and foreign electronic voting-related studies are compared and analyzed in terms of blockchain type, anonymity, verification process, smart contract, performance, and scalability.

Development of Virtual Ambient Weather Measurement System for the Smart Greenhouse (스마트온실을 위한 가상 외부기상측정시스템 개발)

  • Han, Sae-Ron;Lee, Jae-Su;Hong, Young-Ki;Kim, Gook-Hwan;Kim, Sung-Ki;Kim, Sang-Cheol
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.5 no.5
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    • pp.471-479
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    • 2015
  • This study was conducted to make use of Korea Meteorological Administration(KMA)'s Automatic Weather Station(AWS) data to operate smart green greenhouse. A Web-based KMA AWS data receiving system using JAVA and APM_SETUP 8 on windows 7 platform was developed. The system was composed of server and client. The server program was developed by a Java application to receive weather data from the KMA every 30 minutes and to send the weather data to smart greenhouse. The client program was developed by a Java applets to receive the KMA AWS data from the server every 30 minutes through communicating with the server so that smart greenhouse could recognize the KMA AWS data as the ambient weather information. This system was evaluated by comparing with local weather data measured by Inc. Ezfarm. In case of ambient air temperature, it showed some difference between virtual data and measured data. But, the average absolute deviation of the difference has a little difference as less than 2.24℃. Therefore, the virtual weather data of the developed system was considered available as the ambient weather information of the smart greenhouse.

A Study on the Researchers' Needs for Open Research Commons (개방형 연구 커먼즈에 대한 연구자 요구 분석에 관한 연구)

  • Wonsik Shim;Hyeyeon An;Kyuri Park;Sa-Kwang Song;Hyung-Jun Yim
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.4
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    • pp.209-232
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    • 2023
  • In order to embrace open research commons, this study looked at the requirements that researchers have for research data platforms. A survey questionnaire was developed using the results of Australian ARDC and European EOSC case studies. The questionnaire addressed five main areas: the need for research data commons, analysis tools, computing resources, consumption of research data, and general respondent characteristics. To determine the requirements for research data platforms, an analysis was conducted on the responses provided by 550 potential platform users. The findings demonstrated that more than 85% of participants concurred on the significance of open research commons. Additionally, there was a high willingness to use research data (77%), analysis tools (84%), share research data (92%), analysis tools (93%), and computing resources (93%) if commons services were provided. The results of this study show that there is a significant demand for open research commons among researchers. Discussions on research data commons are still hard to come by in Korea's research data services sector, though. Research on a range of subjects, such as subject areas, stakeholder characteristics, and real users of commons platforms, need be conducted in the future.

Designing Digital Twin Concept Model for High-Speed Synchronization (고속 동기화를 위한 디지털트윈 개념 모델 설계)

  • Chae-Young Lim;Chae-Eun Yeo;Ho-jin Sung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.245-250
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    • 2023
  • Digital twin technology, which copies information from real space into virtual space, is being used in a variety of fields.Interest in digital twins is increasing, especially in advanced manufacturing fields such as Industry 4.0-based smart manufacturing. Operating a digital twin system generates a large amount of data, and the data generated has different characteristics depending on the technology field, so it is necessary to efficiently manage resources and use an optimized digital twin platform technology. Research on digital twin pipelines has continued, mainly in the advanced manufacturing field, but research on high-speed pipelines suitable for data in the plant field is still lacking. Therefore, in this paper, we propose a pipeline design method that is specialized for digital twin data in the plant field that is rapidly poured through Apache Kafka. The proposed model applies plant information on a Revit basis. and collect plant-specific data through Apache Kafka. Equipped with a lightweight CFD engine, it is possible to create a digital twin model that is more suitable for the plant field than existing digital twin technology for the manufacturing field.

YouTube Video Content Analysis: Focusing on Korean Dance Videos (유튜브(YouTube) 영상 콘텐츠 분석: 국내 무용 영상을 중심으로)

  • Suejung Chae;Jihae Suh
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.1-13
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    • 2023
  • The widespread adoption of smartphones and advancements in internet technology have notably shifted content consumption habits toward video. This research aims to dissect the nature of videos posted on YouTube, the global video-sharing platform, to understand the characteristics of both produced and preferred content. For this study, dance was chosen as a specific subject from a variety of video categories. Data on YouTube videos associated with the term "dance" was compiled over three years, from 2019 to 2021. The investigation revealed a clear distinction between the types of dance videos frequently uploaded to YouTube and those that receive a high number of views. The empirical analysis of this study indicates a viewer preference for vlogs that provide insights into the daily lives of dance students, as well as for purpose-driven videos, such as those highlighting dance exam preparations or school dance events. Notably, the vlogs that attract the most attention are typically created by dance students at the college or secondary school level, rather than by professionals. Although the study was focused on dance, its methodologies can be applied to different subjects. These insights are expected to contribute to the development of a recommendation system that aids content creators in effectively targeting their productions.

Factors Affecting Individual Effectiveness in Metaverse Workplaces and Moderating Effect of Metaverse Platforms: A Modified ESP Theory Perspective (메타버스 작업공간의 개인적 효과에 영향 및 메타버스 플랫폼의 조절효과에 대한 연구: 수정된 ESP 이론 관점으로)

  • Jooyeon Jeong;Ohbyung Kwon
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.207-228
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    • 2023
  • After COVID-19, organizations have widely adopted platforms such as zoom or developed their proprietary online real-time systems for remote work, with recent forays into incorporating the metaverse for meetings and publicity. While ongoing studies investigate the impact of avatar customization, expansive virtual environments, and past virtual experiences on participant satisfaction within virtual reality or metaverse settings, the utilization of the metaverse as a dedicated workspace is still an evolving area. There exists a notable gap in research concerning the factors influencing the performance of the metaverse as a workspace, particularly in non-immersive work-type metaverses. Unlike studies focusing on immersive virtual reality or metaverses emphasizing immersion and presence, the majority of contemporary work-oriented metaverses tend to be non-immersive. As such, understanding the factors that contribute to the success of these existing non-immersive metaverses becomes crucial. Hence, this paper aims to empirically analyze the factors impacting personal outcomes in the non-immersive metaverse workspace and derive implications from the results. To achieve this, the study adopts the Embodied Social Presence (ESP) model as a theoretical foundation, modifying and proposing a research model tailored to the non-immersive metaverse workspace. The findings validate that the impact of presence on task engagement and task involvement exhibits a moderating effect based on the metaverse platform used. Following interviews with participants engaged in non-immersive metaverse workplaces (specifically Gather Town and Ifland), a survey was conducted to gather comprehensive insights.

The Effects of Live Commerce and Show Host Features on Consumers' Likelihood of Impulse Buying: A Scenario-Based Experiment (라이브 커머스 및 쇼호스트 특성이 소비자의 충동구매가능성에 미치는 영향: 시나리오 기반 실험연구)

  • Nakyeong Kim;Sung-Byung Yang;Sang-Hyeak Yoon
    • Information Systems Review
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    • v.24 no.4
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    • pp.77-96
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    • 2022
  • Live commerce has recently received substantial attention due to the spread of the non-face-to-face consumption culture driven by the COVID-19 pandemic. Live commerce has a higher purchase conversion rate than other forms of commerce. Accordingly, the likelihood of impulse buying in a live commerce environment is expected to be high. However, there is a shortage of research on consumer impulse buying in the live commerce environment. This study designs a scenario-based experiment using the integrated model of consumption impulse formation and enactment. Through this method, this study validates the influence of the characteristics of live commerce (i.e., vicarious experience and real-time interaction) on consumers' likelihood of impulse buying and further examines the moderating role of a live commerce host feature (i.e., professionalism) in these relationships. The results of this study confirm that both vicarious experience and real-time interaction have a positive effect on consumers' likelihood of impulse buying and that professionalism strengthens the impact of vicarious experience on the likelihood of impulse buying. This study's scenario-based experimental design is meaningful because it analyzes the likelihood of impulse buying in the context of live commerce shopping. Additionally, it provides live commerce service and platform providers with practical insights into how to maximize profits and operate services more efficiently.

Consumer Heterogeneity and Price Promotion Effectiveness in Subscription-based Online Platforms (소비자 특성에 따른 가격 촉진 효과에 대한 실증 연구: 플랫폼 구독 경제를 중심으로)

  • Changkeun Kim;Byungjoon Yoo;Jaehwan Lee
    • Information Systems Review
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    • v.22 no.3
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    • pp.143-156
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    • 2020
  • Price promotion is one of the most frequently marketing strategies with a long history. According to various studies, the effect of price promotion is controversial. Some studies have argued that price promotion has a positive effect, while others have found that it has no effect or rather has a negative effect. This study aims to examine the effect of price promotion in a subscription-based service. First, we check the effect of price promotion on the repurchase of the consumer. And we investigate how this effect varies depending on the characteristics of the consumer. Using the data from one of the music streaming service in South Korea, the effect of consumers' price promotion experience, demographic characteristics, and behavioral characteristics on their repurchase is analyzed through logistic regression analysis. As a result of the study, it is found that consumers' experience of price promotion has a positive effect on repurchase. In addition, the positive effect of price promotion is relatively greater in younger and female consumers. This study has implications in that it not only confirmed the positive effect of price promotion in a subscription-based environment but also empirically confirmed that the characteristics of consumers should be considered when performing price promotion.

The Impact of the Mobile Application on Off-Line Market: Case in Call Taxi and Kakao Taxi (모바일 어플리케이션이 오프라인 시장에 미치는 영향: 콜택시와 카카오택시를 중심으로)

  • Kyeongjin Lee;Jaehong Park
    • Information Systems Review
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    • v.18 no.4
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    • pp.141-154
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    • 2016
  • Mobile application is growing explosively with the advent of a new technology: smartphones. Mobile application is a new marketing channel and performs as a start-up platform. This study examines the effect of mobile application on the off-line market. Despite the continuous declining demand for taxi service, paradoxically, the supply of taxi service has increased. The taxi industry can be categorized into general taxi and call taxi. General taxi is accidental and inefficient because it has to search for its own passenger. As call taxi takes the request of a passenger, it is more efficient than general taxi. However, the current defective passenger-taxi driver matching system and insufficient taxi driver management hinder the development of the call taxi market. Differences in differences (DID) is an econometrical methodology that examines whether or not an event has meaningful influence. This research uses DID to investigate the effect of the Kakao taxi application on the call taxi industry. Furthermore, it examines the effect of major companies' reckless diversification, which is considered unethical behavior. The passengers of call taxi data from August 2014 to July 2015 and those of designated driving service data of the same period were collected as the control group.

A Study on the Proposal for Deposit Linkage Plan Based on the Survey of Online Material Identification System (온라인 자료 수집 전략 및 중장기 로드맵 수립 연구)

  • Younghee Noh;Inho Chang;Youngmi Jung;Aekyoung Son;Kyungsun Lee;Hyunju Cha
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.35 no.2
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    • pp.5-23
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    • 2024
  • The seventh year of implementing online material deposit demands a systematic collection, legal and regulatory improvements, and the establishment of a long-term strategic plan for online material collection. In this study, we aimed to propose an online material collection strategy and a long-term roadmap for preserving online resources as national intellectual and cultural heritage for future generations. To achieve this, we analyzed the status of domestic and foreign libraries, related laws and regulations, and the types and collection status of online materials. Based on this analysis, we proposed practical collection standards and methods. Ultimately, a long-term roadmap and implementation plan were suggested. The long-term development plan for online material collection established a phased, concrete implementation strategy. This includes the foundation-building phase of online material collection, followed by the expansion phase, and finally reaching the maturity phase.