• Title/Summary/Keyword: Government Convergence Service

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An Educational Simulator for Operational Strategies of the Block Train Services (블록 트레인 서비스 운영 전략 학습 시뮬레이터 개발)

  • Jung, Jae Un;Kim, Hyun Soo
    • Journal of Digital Convergence
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    • v.10 no.11
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    • pp.197-202
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    • 2012
  • Block Train Services(BTS) are actively studied in many countries for higher productivity and eco-friendly systems of inland freight distribution. However it is difficult for an ordinary student or researcher to approach for understanding and studying BTS because rail transport is operated monopolistically by Korea government and most freight information in each company belongs to its business secret due to the industrial characteristics. For such reasons, the study aimed to develop a BTS simulation model that it supports understanding and strategic decision required for BT operation. To build the result, expert depth-interviews were conducted with analysis of relative references through the domestic representative BT operating company K. The simulator refers to the Busan NewPort-Uiwang section and functionally, it supports scenario generation and analysis on BT operation. It makes a contribution to study a new type's technological application for learning and strategic analysis of BTS.

A Determination of the Factors Contributing to Internet Banking (인터넷뱅킹 요인 결정에 대한 연구)

  • John, Yongjean
    • Journal of Digital Convergence
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    • v.10 no.11
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    • pp.137-144
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    • 2012
  • Seventeen domestic banks, Hongkong & Shanghai Banking Corporation Ltd. and Korea Post provide their subscribers with banking services such as statement service, funds transfer, and application for loans through Internet banking sites, which have become ever-increasing banking services for individual and corporation and government subscribers. First, this study aimed at presenting a process of determining factors to measure customers' perception while using Internet banking for doing transactions. Secondly, this paper attempted to unveil a list of major factors that Internet banking customers perceive while accessing the web sites to do their business with their banks. This study also suggested the features of those factors, which would help improve our understanding of Web usage for Internet banking. This result of the paper will lead further understanding of factors associated with Internet uses in other economic activities, which enable practitioners such as web designers and security specialists to provide Internet banking subscribers with better services in a safe and convenient web pages.

Criticizing the Market Concentration Regulation in Open Media Environment (개방형 콘텐츠 유통환경에서 시장집중 규제에 대한 비판적 고찰)

  • Lee, Chi Hyung;Lee, Jungmann;Lee, Jongwon
    • The Journal of the Korea Contents Association
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    • v.12 no.11
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    • pp.368-376
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    • 2012
  • Government has strictly regulated the concentration of the media market because the number of broadcasters was traditionally limited and they had significant influence on public. However as the media market converges with Internet's open architecture, scarcity and pervasiveness are losing their roles in justifying media regulation. This article examines market convergence and its impact on market concentration, and criticizes the current concentration regulation. The study indicates that market performance are much governed by firm's competitive actions than market structure, and that vertical integration contributes to service innovations, and that horizontal concentration makes it difficult to measure due to its even-changing market definition. Therefore, the regulation for market concentration should shift its focus from firm's market share to broadcaster's unfair acts driving market inefficiency and hurting content diversity.

A Study on User Satisfaction in u-IT New Technology Verification Projects Focused on Domestic RFID/USN Pilot Projects (u-IT 신기술 검증프로젝트의 대한 사용자 만족도에 대한 연구)

  • Lim, Kyu-Kwan;Lim, Young-Hwan
    • Journal of Digital Convergence
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    • v.8 no.1
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    • pp.1-10
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    • 2010
  • Since 2004, the Korean government has been engaged in u-IT new technology verification projects in an effort to level up the industries. Recently, cases are reported that RFID/USN technology has been adopted and applied to business processes, mainly by large enterprises. However, further policies and support for the industries have been restrained because of unavailability of essential data for policy making. Therefore, the study examined the level of satisfaction among the actual recipient organizations from the 27 pilot projects to draw implications from the study result. Accordingly, the level of satisfaction was assessed in four project phases from RFID/USN building, utilization (technical quality), utilization (business quality), to maintenance. The study result showed that the technical stability reached a significant level but the level of satisfaction in the maintenance phase for the utilization and proliferation of the technology remained at the lowest. It suggested that a more specified policy support is needed in the maintenance phase to include inexpensive supply of tags and devices, a maintenance establishment of consortium to maintain reliability and continuity of service, strengthening internal competence of the beneficiary organizations for utilization of RFID/USN.

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Analysis on Political Distrust of Governmental Agencies (정부기관의 정치 불신에 관한 실태분석)

  • Kim, Yong-Chul
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.21-28
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    • 2015
  • This study shows what the political distrust of three nations was preserved among US, Japan, and South Korea in 2008. According to the World Value Survey research, the political distrust of three nations was reached over 70% when on the basis of national people's consciousness in 2008. Especially in the case of South Korea, the percentage of extreme distrust was the highest compared to the other countries. The reason why South Korea could not manage the nation people's political voice to the government and National Assembly. So consequently political complaining behavior channel should be erected more in the political mechanism. And Korean political parties could not manage the social development and national consolidation. Moreover, attacted the negative effects to society. Political distrust is the worst obstacle in democracy that it will be needed the national consensus to amend it.

A Study on the Securing Political Neutrality of the Prosecution Service (검찰의 정치적 중립성 확보방안 연구)

  • Kim, Taek;Jung, In whan
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.59-66
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    • 2020
  • This paper considered the measures of securing political neutrality of the prosecutor on the reform of the prosecution. The nation's prosecution has enormous authority. In the meantime, the prosecution enjoyed unlimited power uncontrolled with investigative rights, prosecution monopoly, and police investigation command. No other country has as much power as the Korean prosecution. However, the prosecution, which enjoys such power, is placed on the task of reforming the prosecution due to poor democratic control. Has there been such a prosecutor in Korean history who only looks forward and wields long sword ehrflqtjdrhk against corruption in power? So far, the prosecution has conducted investigations that suit the administration's taste, and the prosecutors have been on the rise in return. That is why the previous administrations tried to ensure the political neutrality of the prosecution. As such, We would like to consider legal logic to analyze the sincerity of the prosecution reform. To this end, the first is to consider the authority of prosecutors and prosecutors. Second, consider the internal requirements of the government's reform of the prosecution. Third, establish the direction of prosecution reform.

Predictors of Turnover Intention among Non-regular workers in University Hospitals (대학병원 비정규직의 이직의도에 미치는 영향)

  • Yang, Jong-Hyun
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.293-300
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    • 2019
  • The purpose of this study was to analyze turnover intention among non-regular workers in university hospitals. The data was 292 non-regular workers in 7 university hospitals from December 1 to December 31, 2017. ANOVA, t-test were used for analysis of difference by general characteristics, and multiple regression analysis was performed to analyze the effect on turnover intention. The results of the study are as follows. Unjust working environment, employment instability, discrimination experience were found to have a positive(+) effect on turnover intention. Job satisfaction, age, employment type had a significant negative(-) effect on turnover intention. In particular, high discrimination experience of non-regular workers, who occupy a large part of the hospitals in the increasingly competitive medical market, and high turnover intention can be a negative impact on good medical service and hospital management. The government should establish policies for non-regular workers and hospitals need practical changes in welfare, wages and working environment for non-regular workers.

Issue Analysis on Gas Safety Based on a Distributed Web Crawler Using Amazon Web Services (AWS를 활용한 분산 웹 크롤러 기반 가스 안전 이슈 분석)

  • Kim, Yong-Young;Kim, Yong-Ki;Kim, Dae-Sik;Kim, Mi-Hye
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.317-325
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    • 2018
  • With the aim of creating new economic values and strengthening national competitiveness, governments and major private companies around the world are continuing their interest in big data and making bold investments. In order to collect objective data, such as news, securing data integrity and quality should be a prerequisite. For researchers or practitioners who wish to make decisions or trend analyses based on objective and massive data, such as portal news, the problem of using the existing Crawler method is that data collection itself is blocked. In this study, we implemented a method of collecting web data by addressing existing crawler-style problems using the cloud service platform provided by Amazon Web Services (AWS). In addition, we collected 'gas safety' articles and analyzed issues related to gas safety. In order to ensure gas safety, the research confirmed that strategies for gas safety should be established and systematically operated based on five categories: accident/occurrence, prevention, maintenance/management, government/policy and target.

A Data Analysis and Visualization of AI Ethics -Focusing on the interactive AI service 'Lee Luda'- (인공지능 윤리 인식에 대한 데이터 분석 및 시각화 연구 -대화형 인공지능 서비스 '이루다'를 중심으로-)

  • Lee, Su-Ryeon;Choi, Eun-Jung
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.269-275
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    • 2022
  • As artificial intelligence services targeting humans increase, social demands are increasing that artificial intelligence should also be made on an ethical basis. Following this trend, the government and businesses are preparing policies and norms related to artificial intelligence ethics. In order to establish reasonable policies and norms, the first step is to understand the public's perceptions. In this paper, social data and news comments were collected and analyzed to understand the public's perception related to artificial intelligence and ethics. Interest analysis, emotional analysis, and discourse analysis were performed and visualized on the collected datasets. As a result of the analysis, interest in "artificial intelligence ethics" and "artificial intelligence" favorability showed an inversely proportional correlation. As a result of discourse analysis, the biggest issue was "personal information leakage," and it also showed a discourse on contamination and deflection of learning data and whether computer-made artificial intelligence should be given a legal personality. This study can be used as data to grasp the public's perception when preparing artificial intelligence ethical norms and policies.

Understanding Child Abuse Based on Big Data Analysis -A Basic Study on the Development of Machine Learning Algorithm- (빅데이터 분석에 기반한 아동학대의 이해 -머신러닝 알고리즘 개발 기초연구-)

  • Bae, Jungho;Burm, Eunae
    • Journal of Internet of Things and Convergence
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    • v.8 no.4
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    • pp.57-63
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    • 2022
  • The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.