• Title/Summary/Keyword: computer terms

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An Extended UTAUT2 model to Explain the Adoption of Virtual Reality Technology in Health Centers: An Empirical Study Based in Riyadh

  • Algahtani, Manar;Altameem, Abdullah;Baig, Abdul Rauf
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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    • pp.219-228
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    • 2021
  • The adoption of new technology in any organization will represent change, and such change needs user acceptance for its successful implementation. Saudi Arabian health centers are no exception; therefore, the current study will investigate the adoption of new technology, namely that of virtual reality (VR), within health centers in Saudi Arabia and specifically in Riyadh City. This study explores the current state of VR technology adoption, factors that influence such adoption, and the extent of this technology's efficiency when it is used for vaccinating children. The data were collected from two samples: workers in vaccination clinics who responded to a survey and a group of children who participated in the VR technology experiment. The current study proposed a model based on the unified theory of acceptance and use of technology 2 (UTAUT2), with the addition of two variables: personal innovativeness and satisfaction. The results indicated that the respondents' perceptions regarding the health centers' infrastructure in terms of adopting VR were moderate. Among the factors affecting VR adoption, satisfaction, personal innovativeness, and behavioral intention were identified as vastly influential factors. From the eight hypotheses, six were found to be supported, with their factors significantly influencing behavioral intention with regard to VR technology adoption. Besides, the experiment concerning the use of VR technology on children verified the technique's high efficiency in terms of providing pain management and fear removal. These findings support the continuity of VR technology use, expand its future application fields, and integrate this study into the literature on technology acceptance models for VR adoption, as limited studies have covered this topic; consequently, this will benefit future research in this field.

A Study on the Factors affecting the Satisfaction and Performance of Information Education in College (대학교의 정보교육 만족과 성과의 영향변인에 관한 연구)

  • Jun, Byoung-Ho
    • Journal of The Korean Association of Information Education
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    • v.14 no.4
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    • pp.477-488
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    • 2010
  • The purpose of this paper is to examine factors enhancing the performance of computer education designed for cultivating competing person for information society. It aims to analyze the affecting factors of computer education performance in terms of learner's aspect such as computer self-efficacy and environmental aspect such as educational facilities and professor's traits. The result shows that all factors(computer self-efficacy, innovativeness, motivation, self-regulated efficacy, professor's traits) except educational facilities are found to be significantly related to the performance of computer education. It is expected to provide guidelines on effective computer education and help to nurture talented person for information society in turn by investigating the affecting factors of the performance of computer education.

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A Study on the Characteristics of Opinion Retrieval Using Term Statistical Analysis in Opinion Documents (의견 문서의 단어 통계 분석을 통한 의견 검색 특성에 관한 연구)

  • Han, Kyoung-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.21-29
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    • 2010
  • Opinion retrieval which searches the opinions expressed in documents by users cannot outperform significantly yet traditional topical retrieval which searches the facts. Therefore, the focus of this paper is to identify the statistical characteristics which can be applied to opinion retrieval by comparing and analyzing the term statistics of opinion and non-opinion documents in the blog domain. The TREC Blogs06 collection and 150 TREC topics are used in the experiments. The difference between term probability distributions in opinion documents is measured by JS divergence, and the difference according to the topic types and topic domains is also investigated. Moreover, the term probabilities of opinion terms are analyzed comparatively. The main findings of this study include the following: it is necessary to consider the topic-specific characteristics for the opinion detection; it is effective to extract positive and negative opinion terms according to the topics; the topic types are complementary to the topic domains; and special attention has to be given to the usage of the positive opinion terms.

New variable size motion estimation technique by selecting the active motion region (효율적인 비디오 부호화를 위한 영역 선택적 가변크기 움직임 예측)

  • Park, Yunjung;Kwanghoon Sohn
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.857-860
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    • 2000
  • In this letter, The proposed algorithm has processed the motion estimation and compensation only in the region which has the motion. By considering the temporal redundancies between the successive frames, the bit cost for representing the motion are reduced efficiently. The performance of them proposed technique show the superior result to the existing methods' in terms of both PSNR and coding cost.

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An Efficient Implementation of Tornado Code for Fault Tolerance

  • Lei, Jian-Jun;Kwon, Gu-In
    • Journal of Korea Spatial Information System Society
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    • v.11 no.2
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    • pp.13-18
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    • 2009
  • This paper presents the implementation procedure of encoding and decoding algorithms for Tornado code that can provide fault tolerance for storage and transmission system. The degree distribution satisfying heavy tail distribution is produced. Based on this distribution, a good random irregular bipartite graph is attained after plenty of trails. Such graph construction is proved to be efficient, and the experiments also demonstrate that the implementation obtains good performance in terms of decoding overhead.

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Detecting Intrusion in IP-Based Ubiquitous Sensor Networks (IP 기반 유비쿼터스 센서 네트워크에서의 침입 탐지)

  • Amin, Syed Obaid;Hong, Choong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06a
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    • pp.134-137
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    • 2008
  • A novel Intrusion Detection and Response System (IDRS) for IP based Ubiquitous Sensor Networks (IP-USN) is proposed. According to the best of our knowledge this is the first security framework for any kind of IP based sensor devices. The proposed scheme is fast, lightweight in terms of computation and memory, which make it appropriate for resource constrained sensor devices.

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SPECTRAL RADIUS OF BIORTHOGONAL WAVELETS WITH ITS APPLICATION

  • Zou, Qingyun;Wang, Guoqiu;Yang, Mengyun
    • Journal of the Korean Mathematical Society
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    • v.51 no.5
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    • pp.941-953
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    • 2014
  • In this paper, a 2-circular matrix theory is developed, and a concept of spectral radius for biorthogonal wavelet is introduced. We propose a novel design method by minimizing the spectral radius and obtain a wavelet which has better performance than the famous 9-7 wavelet in terms of image compression coding.

Optimum Design of a New 4-DOF Parallel Mechanism

  • Chung, Jae-Heon;Yi, Byung-Ju;Kim, Whee-Kuk
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.302-307
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    • 2005
  • Recently, lots of parallel mechanisms for spatial 3-DOF and 6-DOF were investigated. However, research on 4-DOF and 5-DOF parallel mechanisms has been very few. In this paper, we propose a 4-DOF parallel mechanism that consists of 3-rotational and 1-translational motions. The kinematic characteristics of this mechanism are analyzed in terms of an isotropic index and maximum force transmission ratio, and its kinematic optimization is being conducted to ensure enhanced kinematic performances

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Document Clustering Technique by Domain Ontology (도메인 온톨로지에 의한 문서 군집화 기법)

  • Kim, Woosaeng;Guan, Xiang-Dong
    • Journal of Information Technology Applications and Management
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    • v.23 no.2
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    • pp.143-152
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    • 2016
  • We can organize, manage, search, and process the documents efficiently by a document clustering. In general, the documents are clustered in a high dimensional feature space because the documents consist of many terms. In this paper, we propose a new method to cluster the documents efficiently in a low dimensional feature space by finding the core concepts from a domain ontology corresponding to the particular area documents. The experiment shows that our clustering method has a good performance.