• Title/Summary/Keyword: Computer usage

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An Study for Effects of Adolescents on SNS' Usage Motivation (청소년 SNS 이용동기에 미치는 영향 연구)

  • Lee, Sae-Bom;Moon, Jae-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.197-198
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    • 2019
  • 본 연구는 청소년들의 SNS 이용동기와 이용실태를 알아보고자 하였다. 연구를 위해 부산에 살고 있는 고등학생들을 대상으로 조사를 실시하였으며, 사회적 동기, 유희적 동기, 기능적 동기, 심리적 동기, 정보공유, 탈출욕구, 교우실현, 전문적 혜택 등에 대한 설문문항을 토대로 설문조사를 진행하였다. 설문 결과, 대부분의 학생들이 페이스북을 사용하고 있었으며, 그 다음으로 인스타그램을 많이 이용하는 것으로 나타났다. 그리고 청소년들은 기능적 동기와 유희적 동기와 교유관계 유지를 위한 동기 때문에 SNS를 이용하고 있는 것으로 나타났다. 현재 청소년들이 SNS를 활발히 활용하고 있고 왜 이용하고 있는지에 대한 동기를 파악하여 청소년들의 심리상태를 점검해 볼 수 있다는 차원에서 연구의 의의가 있다고 볼 수 있다.

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Computer Ethics in Computer Education (컴퓨터 윤리에 관한 연구)

  • Joo, Young-Ju;Lee, Kwang-Hi
    • Journal of The Korean Association of Information Education
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    • v.1 no.2
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    • pp.84-100
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    • 1997
  • All technology has both intended and unintended effects, we have said, and information technology is no exception. Information technology offers a number of challenges: those of computer education, computer literacy, the ethical and societal impacts of computing and communication systems. Current computer education focuses primarily on the history, parts and usage of a computer, and programming, it does not fully include the moral standards or ethics that help guide behavior and conduct for citizens of Information society. The purpose of this study is to review of the theoretical issues and societal impacts of computers, communication systems and computer ethics; then, to nalyse current curriculum and content of school computer education in Korea: finally, to develop a possible course in computer ethics containing a goal statement and aspects of computer literacy. Contents in computer ethics covers issues of nettiquette, privacy, health, copyright-related software and network piracy, computer crime and viruses. Six suggestions are made for the computer ethics of Information Age in the conclusion.

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ODRL Ontology Extention Model and Prototype Design for the Specification of the Rights to use Digital Contents (저작물 이용권한 명세를 위한 ODRL 확장 모델 및 프로토타입 설계)

  • Kim, Jung-Min;Chung, Hyun-Sook
    • Journal of Convergence for Information Technology
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    • v.10 no.1
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    • pp.13-21
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    • 2020
  • Due to the dramatic improvement of Internet technologies and digital content authoring, many independent media creators produce various digital items and share them with others. In this situation, the independent media platforms must support the well-defined usage rights(licenses) specification, usage monitoring, and license trading trace for enabling complex types for selling, buying, using and reproducing digital items created by independent media creators. In this paper, we design an extended policy model based on the ODRL policy class model and implement a user interface prototype to specify multi types of usage rights like use, own, share, and cede. Our proposed model can be referenced to create license management modules of the independent media platforms.

Effects of the Perceived Usefulness and Perceived Enjoyment of YouTube Use on Academic Adjustment of College Students in Distance Education due to COVID-19: Focusing on Compulsive YouTube Usage

  • Lee, Jong Man
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.137-142
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    • 2021
  • The goal of this study is to investigate how YouTube use motivation such as perceived usefulness and perceived enjoyment affect the compulsive YouTube usage and academic adjustment of college students. To this end, a research model was established and 113 response data obtained by conducting a questionnaire survey on college students in Seoul were used for structural model analysis. The results of this study can be summarized as following. First, perceived usefulness has a positive effect on academic adjustment. Second, compulsive YouTube usage has a negative effect on academic adjustment. Third, perceived enjoyment was identified as a factor that plays a role like pharmakon. The findings suggest the necessity of learning strategies that control the degree of perceived enjoyment as well as the instrumental use of perceived usefulness in order to improve the academic adjustment of college students.

A Study on the Differences in Perception of Mobile Payment System Characteristics by User Characteristics

  • Liu, Rui-xue;Yoon, Jong-soo
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.183-191
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    • 2022
  • Thanks to various characteristics of mobile payment system, many users can easily purchase various products anytime, anywhere, free from time and place restrictions. In this respect, this study attempted to investigate how the perception of mobile payment system's characteristics (security, compatibility, efficiency, economy, reliability) varies depending on the characteristics of mobile payment system users (demographic characteristics, usage characteristics of mobile payment system). The results of the empirical analysis using questionnaires for mobile payment system users in Korea and China say that there are differences in the perceptions of few characteristics of mobile payment system by gender, nationality, age, and usage amount of mobile payment system users. The analysis results of the study are expected to provide implications in various aspects to researchers and practitioners seeking ways for facilitating the usage of mobile payment systems in Korea and China in the future.

Korean Hedge Detection Using Word Usage Information and Neural Networks (단어 쓰임새 정보와 신경망을 활용한 한국어 Hedge 인식)

  • Ren, Mei-Ying;Kang, Sin-jae
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.9
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    • pp.317-325
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    • 2017
  • In this paper, we try to classify Korean hedge sentences, which are regarded as not important since they express uncertainties or personal assumptions. Through previous researches to English language, we found dependency information of words has been one of important features in hedge classification, but not used in Korean researches. Additionally, we found that word embedding vectors include the word usage information. We assume that the word usage information could somehow represent the dependency information. Therefore, we utilized word embedding and neural networks in hedge sentence classification. We used more than one and half million sentences as word embedding dataset and also manually constructed 12,517-sentence hedge classification dataset obtained from online news. We used SVM and CRF as our baseline systems and the proposed system outperformed SVM by 7.2%p and also CRF by 1.2%p. This indicates that word usage information has positive impacts on Korean hedge classification.

A Predictive Virtual Machine Placement in Decentralized Cloud using Blockchain

  • Suresh B.Rathod
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.60-66
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    • 2024
  • Host's data during transmission. Data tempering results in loss of host's sensitive information, which includes number of VM, storage availability, and other information. In the distributed cloud environment, each server (computing server (CS)) configured with Local Resource Monitors (LRMs) which runs independently and performs Virtual Machine (VM) migrations to nearby servers. Approaches like predictive VM migration [21] [22] by each server considering nearby server's CPU usage, roatative decision making capacity [21] among the servers in distributed cloud environment has been proposed. This approaches usage underlying server's computing power for predicting own server's future resource utilization and nearby server's resource usage computation. It results in running VM and its running application to remain in waiting state for computing power. In order to reduce this, a decentralized decision making hybrid model for VM migration need to be proposed where servers in decentralized cloud receives, future resource usage by analytical computing system and takes decision for migrating VM to its neighbor servers. Host's in the decentralized cloud shares, their detail with peer servers after fixed interval, this results in chance to tempering messages that would be exchanged in between HC and CH. At the same time, it reduces chance of over utilization of peer servers, caused due to compromised host. This paper discusses, an roatative decisive (RD) approach for VM migration among peer computing servers (CS) in decentralized cloud environment, preserving confidentiality and integrity of the host's data. Experimental result shows that, the proposed predictive VM migration approach reduces extra VM migration caused due over utilization of identified servers and reduces number of active servers in greater extent, and ensures confidentiality and integrity of peer host's data.

Computer Simulation of Solidification in L-Sections (L형(型) 주물응고(鑄物凝固)에 대한 Computer Simulation)

  • Han, Yoon-Hee;Kim, Myung-Han;Kim, Dong-Ok
    • Journal of Korea Foundry Society
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    • v.5 no.2
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    • pp.125-136
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    • 1985
  • The most desirable method for the solution of solidification problems in castings must be the one which combines accuracy, simplicity, and low computer usage cost. The purpose of the present study is to develop a method which includes all these advantages. The purpose of the present research was approached by the introduction of two methods: (1) A pour-out test, employed with very high purity aluminum, for the purpose of obtaining accurate solidification data in L-sections; and (2) an numerical technique, using the cubic spline function for defining solidification curves.

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