• Title/Summary/Keyword: 조망분석

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A study on the application and development direction of naval unit diagnosis system (해군 부대진단 제도의 적용과 발전방향에 대한 고찰)

  • Jang, Kyoung Sun;Lee, Yoou Kyung;Kwon, Pan Qum
    • Convergence Security Journal
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    • v.20 no.1
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    • pp.59-68
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    • 2020
  • The purpose of this study is to consider ways to stabilize the naval unit diagnosis system that has been implemented for five years. Check the historical process and theoretical background of the naval unit diagnosis system. This is to confirm the future direction of the naval unit diagnosis system research. Therefore, the importance of this system is confirmed and the direction of development is explained through application method. In particular, the study suggested the scientific development of analytical methods, the development of analytical programs, the development of leadership diagnostic programs, the increase of personnel in the unit diagnosis team, and the acquisition of expertise and reliability. In order for the naval unit diagnosis system to develop, internal and external continuous research is required.

A Study on Wireless Information Services Based on WiBro Service (휴대인터넷(WiBro)기반의 정보서비스 활용방안에 관한 연구)

  • Kim, Yong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.17 no.1
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    • pp.305-324
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    • 2006
  • The requirements to use high speed internet under wireless environment are increased. To satisfy the requirements. the WiBro service combining high speed of wired internet service with mobility of wireless internet service will be launched as an alternative. This paper reviews and analyzes its overview, features, and comparison with existing mobile internet and wireless LAN in the information providing aspect. This paper also proposes how to adapt mobile information service and how to satisfy the requirements to construct mobile library based on the WiBro service. With the current problems in mobile-based information services provided by libraries. especially this paper proposes information service areas. considerations to provide information services, and service provisioning method based on the WiBro service.

The Development of Valley Scenic Site Zoning Method for the Effective Landscape Protection (계곡 명승의 효과적인 경관보호를 위한 구역 설정기법 개발)

  • Ha, Tae-Il;Kim, Choong-Sik
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.32 no.3
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    • pp.183-190
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    • 2014
  • Since Scenic Sites, heritages to protect the value of landscapes, include valleys and mountains, the cultural heritage protection zones and historical and cultural environments preservation districts are designated extensively. So the landscape protection effects of the designation of scenic sites should be examined. Accordingly, the purpose of this research is to present the methods of efficient institution of district for landscape protection of scenic sites. As the research subject, Cheongamjeong Pavilion and Seokcheongyegok Valley in Bonghwa (Scenic Site No. 60), which has the highest designation rate, was selected. The results of this research using the cumulative visibility technique of GIS are as follows. First, the method of selecting the viewpoint by preparing the reverse cumulative visibility from important landscape resources of the valley was presented. The reverse cumulative visibility can be utilized for rational selection of the viewpoint with regard to scenic sites. Second, the landscape analysis method in consideration of human viewing angle and the visibility of the background of landscape resources was developed. Third, the hierarchical landscape protection method of scenic sites utilizing cumulative visibility was presented. Fourth, it was established through on-site inspections that the method of institution of district is the practical method.

A Study on the Trust Mechanism of Online Voting: Based on the Security Technologies and Current Status of Online Voting Systems (온라인투표의 신뢰 메커니즘에 대한 고찰: 온라인투표 보안기술 및 현황 분석을 중심으로)

  • Seonyoung Shim;Sangho Dong
    • Information Systems Review
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    • v.25 no.4
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    • pp.47-65
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    • 2023
  • In this paper, we investigate how the online voting system can be a trust-based system from a technical perspective. Under four principles of voting, we finely evaluate the existing belief that offline voting is safer and more reliable than online voting based on procedural processes, technical principles. Many studies have suggested the ideas for implementing online voting system, but they have not attempted to strictly examine the technologies of online voting system from the perspective of voting requirements, and usually verification has been insufficient in terms of practical acceptance. Therefore, this study aims to analyze how the technologies are utilized to meet the demanding requirements of voting based on the technologies proven in the field. In addition to general data encryption, online voting requires more technologies for preventing data manipulation and verifying voting results. Moreover, high degree of confidentiality is required because voting data should not be exposed not only to outsiders but also to managers or the system itself. To this end, the security techniques such as Blind Signature, Bit Delegation and Key Division are used. In the case of blockchain-based voting, Mixnet and Zero-Knowledge Proof are required to ensure anonymity. In this study, the current status of the online voting system is analyzed based on the field system that actually serves. This study will enhance our understanding on online voting security technologies and contribute to build a more trust-based voting mechanism.

An Insight Study on Keyword of IoT Utilizing Big Data Analysis (빅데이터 분석을 활용한 사물인터넷 키워드에 관한 조망)

  • Nam, Soo-Tai;Kim, Do-Goan;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.146-147
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    • 2017
  • Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

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A Meta-Analysis of Influencing Soybean Food Interventions on the Metabolic Syndrome Risk Factors Utilizing Big Data (빅데이터 분석을 활용한 콩 식품 중재가 대사증후군 위험요인에 미치는 영향 메타분석)

  • Jin, Chan-Yong;Yu, Ok-Kyeong;Nam, Soo-Tai
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1074-1080
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    • 2016
  • Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, systolic blood pressure, diastolic blood pressure, triglycerides, and high density lipoprotein cholesterol. In this meta-analysis, we concluded that the path between pre and post of the fasting blood glucose had the largest effect size of (r = -.324). Therefore, the effect of soybean food intervention showed an explanatory power of 10%. The second biggest effect size (r = .256) was found the path between pre and post in the waist circumference. Unfortunately, soybean food intake showed no improvement on abdominal obesity. Thus, we present the theoretical and practical implications of these results.

Analysis of Programming Processes Through Novices' Thinking Aloud in Computational Literacy Education (프로그래밍 과정에서 나타나는 초보학습자들의 행동 및 사고과정 분석)

  • Kim, Soo-Hwan;Han, Seon-Kwan;Kim, Hyeon-Cheol
    • The Journal of Korean Association of Computer Education
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    • v.14 no.1
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    • pp.13-21
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    • 2011
  • The purpose in this paper is to provide the theoretical framework of characteristics of programming thinking processes in computational literacy education. That is, we developed the theoretical framework through analyzing novices' cognitive thinking processes, applied it to the real situation about computational literacy problem-solving processes and defined characteristics of the processes. For this purpose, we tried to analyze characteristics of programming thinking processes of novices by using think-aloud method. Also we developed the programming process code about novices' cognitive processes and programming processes, and analyzed the process that novice faced and overcame programming barriers by using qualitative research tool, Nvivo. As a result, we found what characteristics of programming problem-solving processes were and how novices used the thinking skill in the process. This study contributes to understand programming problem-solving processes and provides the criterion to analyze the processes scientifically.

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A Meta-analysis and Review of External Factors based on the Technology Acceptance Model : Focusing on the Journals Related to Smartphone in Korea (기술수용모델 선행요인에 관한 문헌적 고찰 및 메타분석)

  • Nam, Soo-Tai;Shin, Seong-Yoon;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.4
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    • pp.848-854
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    • 2014
  • A Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We conducted a meta-analysis and review of external factors based on the technology acceptance model for Smartphone-related researches. This study surveyed 106 research papers that established causal relationships in the technology acceptance model published in Korean academic journals during 2008 and 2013. The result of the meta-analysis might be summarized that the playfulness has the highest effect size in the path from external factors to the perceived usefulness, with the effect size(0.536). Also the self efficacy showed the highest effect size(0.626) in the path from external factors to the perceived ease of use. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

A Review of Influencing Aronia Intake on Human Body in Korea (국내 아로니아 습취가 인체에 미치는 영향에 관한 문헌분석)

  • Nam, Soo-Tai;Yu, Ok-Kyeong;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.149-152
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    • 2017
  • Big data analysis is an effective analysis techniques of unstructured data such as internet, social network services, web documents generated in mobile environment, e-mail, and social data, as well as formal data well organized in the database. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Today, regardless of gender and age is increasing interest in whether you can lead a younger and healthier life. With this change of life which has been developed with a variety of functional health food. Aronia melanocarpa called black chokeberry is a fruit of berry plants belonging to the Rosaceae originally growing in the North America region. In the studies for factors related to quality characteristics and antioxidant activities as the extracts of Aronia in this study, which it is only targeted factors as total sugar, acidity, polyphenol, anthocyanin, antioxidant. Thus, we present the theoretical and practical implications of these results.

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Analysis of Research Trends in Elementary Information Education in Korea using Topic Modeling (토픽 모델링을 활용한 국내 초등 정보교육 연구동향 분석)

  • Shim, Jaekwoun
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.347-354
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    • 2021
  • As interest in artificial intelligence education for elementary school students has recently increased, it is necessary to analyze the existing elementary information education research from a macroscopic point of view to understand the current situation and to provide implications for subsequent research. This study analyzed Journal of The Korean Association of Information Education for the purpose of looking at the research trend of elementary information education in Korea. For the data of the study, all papers published until 2020 in the first issue of the journal were selected, and 11 research topics were derived by modeling topics. As a result of the study, topic T1, the highest proportion, was analyzed to account for about 38%, and keywords such as education, research, analysis, elementary school, and information were derived according to the order of contribution to topic T1. As a result of regression analysis according to the year of the topic, it was found that the research trend is changing to computing thinking, software education, and artificial intelligence education. The significance of this study is that text data related to elementary information education is objectively clustered.