• Title/Summary/Keyword: Research subject. research topic

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Comparison of Honeypot System, Types, and Tools

  • Muhammad Junaid Iqbal;Muhammad Usman Ahmed;Muhammad Asaf
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.169-177
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    • 2023
  • Network security is now more crucial than ever for consumers, companies, and military clients. Security has elevated to the top of the priority list since the Internet's creation. The evolution of security technology is now better understood. The area of community protection as a whole is broad and dynamic. News from the days before the internet and more recent advancements in community protection are both included in the topic of observation. Recognize current research techniques, previous Defence strategies that were significant, and network attack techniques that have been used before. The security of various domain names is the subject of this article's description of bibliographic research.

Research Trends of Studies Related to the Nature of Science in Korea Using Semantic Network Analysis (언어 네트워크 분석을 이용한 과학의 본성에 관한 국내연구 동향)

  • Lee, Sang-Gyun
    • Journal of the Korean Society of Earth Science Education
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    • v.9 no.1
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    • pp.65-87
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    • 2016
  • The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

A Comparative Analysis on High School's National Travel Geography Curriculum in Korea and China (한국의 여행지리와 중국의 관광지리 교육과정 비교)

  • Kang, Chang-Sook
    • Journal of the Korean association of regional geographers
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    • v.22 no.1
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    • pp.267-285
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    • 2016
  • This study presents a comparative analysis of newly developed curriculum of Travel Geography as the career elective subject in high school for the 2015 revised curriculum in Korea and Tourism Geography in China. Travel Geography Curriculum comprises subject objectives, the contents organization, and achievement standards which reflect the core concept of geography. It utilizes travel as the topic and frame to raise the availability, interest and empathy in the geography classroom. The main research contents are comparative analysis on the similarities and differences of the subject character, goal, content, teaching-learning method and assessment of the national geography curriculum in Korea and China. Practical implications are presented for textbook compilation of the Travel Geography and its Practice classroom teaching-learning.

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Analysis of Trends in Research on Native Local Foods - Focused on Domestic Thesis - (향토음식 연구경향 분석 - 국내 식품영양학분야 학술지 게재논문을 중심으로-)

  • Lee, Kyou-Jin;Park, Eunju;Park, Jae-Hee
    • Journal of the Korean Society of Food Culture
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    • v.32 no.2
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    • pp.75-88
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    • 2017
  • The purpose of this study was to systematically analyze relevant research and examine research trends through metaanalysis of 154 theses related to native local foods published in a representative food and nutrition journal. As subject regions, Gyeongsang-do was the most common (70), and especially, Andong had 19 theses. Regarding the research topic, until the early 2000s, most research focused on 'native local foods itself'. After 2005, there was a remarkable increase in research on people's 'perception/use' of native local foods as well as on 'development/application' based on native local foods since 2010. Among theses on native local foods, there was a lot of research on 'quality characteristics' mainly using the quantitative research method, and most research was on desserts. Among theses on perception/use, there were lots of theses on 'awareness, satisfaction, and preference' focusing on questionnaires targeting local residents. Among theses on development/application, the noticeable research trend of 'tourism commercialization of native local foods' was the active development of food and menus using storytelling.

The history and analysis of research trends in Journal of Korean Academy of Dental Administration (대한치과의료관리학회지의 역사와 연구경향 분석)

  • Hoon Kim;Soo-Jeong Hwang
    • Journal of Korean Academy of Dental Administration
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    • v.11 no.1
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    • pp.47-53
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    • 2023
  • This study aims to analyze the research trends of the Journal of Korean Academy of Dental Administration and identify the characteristics of the journal. The research was based on 10 academic journals from 2013 to 2022 and related documents. The type of paper, research method, statistical analysis, topic classification, and research subject of 65 papers were extracted and categorized. As a result, the distribution of paper types was as follows: research articles accounted for 83.2%, review articles for 12.3%. In terms of research methods, questionnaire surveys were used in 46.2% of the papers, literature reviews in 23.1%, and national data analysis in 7.7%. Research topics included dental manpower at 20.0%, infection control at 7.7%, dental information at 6.2%, patient safety at 6.2%, and oral health care quality at 6.2%. 72.3% of the papers were quantitative studies, and the majority of research subjects were dental hygienists or dental hygiene students, accounting for 26.2% of the total. The Journal of Korean Academy of Dental Administration covers topics such as dental healthcare marketing, dental healthcare organization and management, dental healthcare information, dental healthcare policy, dental healthcare insurance, dental healthcare quality management, patient safety, medical disputes, and infection control. The authors are also contributed by a variety of dental personnel, including dentists, dental hygienists, and dental technicians.

A Meta-Analytic Review of the Effectiveness of the Science Writing Heuristic Approach on Academic Achievement in Turkey

  • Bae, Yejun;Sahin, Ercin
    • Research in Mathematical Education
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    • v.24 no.3
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    • pp.175-199
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    • 2021
  • The Science Writing Heuristic (SWH) approach is described as an immersive argument-based science inquiry focusing particularly on learning through epistemic practices. In the literature, several previous studies indicate how academic achievement is positively influenced by the SWH. In addition to these previous studies, several meta-syntheses of qualitative data have been conducted on this particular topic. With these literatures in mind, a quantitative meta-analysis was conducted with ten studies (N = 724) to examine the effectiveness of the SWH on student achievement in Turkey. To present a thoroughly detailed report, this study also examined the following moderators: grade level, subject area, school location, intervention length, and report source. Overall, this study found that in Turkey, the SWH classrooms performed better in academic achievement tests than traditional lecture-based classrooms. Additionally, the SWH is more likely to be effective regardless of grade levels, subject areas, and school locations.

A Study on the School Library Research Trends Using Topic Modeling (토픽모델링을 활용한 학교도서관 연구동향 분석)

  • Jung, Young-Joo;Kim, Hea-Jin
    • Journal of Korean Library and Information Science Society
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    • v.51 no.3
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    • pp.103-121
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    • 2020
  • This study aimed to analyze the research trends of school libraries from 1990 to July 2020. To this end, LDA topic modeling analysis was conducted to the domestic article abstracts related to school libraries. The total number of documents is 498 papers published by the four major domestic journals in Library and Information Science. The log-likelihood estimate criterion was used to determine the number of topics for topic modeling. As a result of the study, 27 topics were discovered, then, theory were categorized by eight subject areas: general, institutional system, building/equipment, operation/management, data organization, service, education, and others. The most popular research was library utilization classes (T27) and Information Utilization (T2). More than 20 studies were found in each evaluation index development (T13), school librarian placement (T24), learning information media utilization (T3), community public library (T7), library cooperation (T9), library use (T17), library research (T11), reading education (T4), collection development (T5), and education effects/teaching methods (T18).

Application of Sentiment Analysis and Topic Modeling on Rural Solar PV Issues : Comparison of News Articles and Blog Posts (감성분석과 토픽모델링을 활용한 농촌태양광 관련 이슈 연구 : 언론 기사와 블로그 포스트 비교)

  • Ki, Jaehong;Ahn, Seunghyeok
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.17-27
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    • 2020
  • News articles and blog posts have influence on social agenda setting and this study applied text mining on the subject of solar PV in rural area appeared in those media. Texts are gained from online news articles and blog posts with rural solar PV as a keyword by web scrapping, and these are analysed by sentiment analysis and topic modeling technique. Sentiment analysis shows that the proportion of negative texts are significantly lower in blog posts compared to news articles. Result of topic modeling shows that topics related to government policy have the largest loading in positive articles whereas various topics are relatively evenly distributed in negative articles. For blog posts, topics related to rural area installation and environmental damage are have the largest loading in positive and negative texts, respectively. This research reveals issues related to rural solar PV by combining sentiment analysis and topic modeling that were separately applied in previous studies.

Curriculum Relevance Analysis of Physics Book Report Text Using Topic Modeling (토픽모델링을 활용한 물리학 독서감상문 텍스트의 교육과정 연계성 분석)

  • Lim, Jeong-Hoon
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.333-353
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    • 2022
  • This study analyzed the relevance of the curriculum by applying topic modeling to book reports written as content area reading activities in the 'physics' class. In order to carry out the research, 332 physics book reports were collected to analyze the relevance among keywords and topics were extracted using STM. The result of the analysis showed that the main keywords of the physics book reports were 'thought', 'content', 'explain', 'theory', 'person', 'understanding'. To examine the influence and connection relationship of the derived keywords, the study presented degree centrality, between centrality, and eigenvetor centrality. As a result of the topic modeling analysis, eleven topics related to the physics curriculum were extracted, and the curriculum linkage could be drawn in three subjects (Physics I, Physics II, Science History), and six areas (force and motion, modern physics, wave, heat and energy, Western science history, and What is science). The analyzed results can be used as evidence for a more systematic implementation of content area reading activities which reflect the subject characteristics in the future.

The Evaluation of Web Contents by User 'Likes' Count: An Usefulness of hT-index for Topic Preference Measurement

  • Song, Yeseul;Park, Ji-Hong;Shim, Jiyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.2
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    • pp.27-49
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    • 2015
  • The purpose of this study is to suggest an appropriate index for evaluating preferences of Web contents by examining the h-index and its variants. It focuses on how successfully each index represents relative user preference towards topical subjects. Based on data obtained from a popular IT blog (engadget.com), subject values of the h-index and its variants were calculated using 53 subject categories, article counts and the 'Likes' counts aggregated in each category. These values were compared through critical analysis of the indices and Spearman rank correlation analysis. A PFNet (Pathfinder Network) of subjects weighted by $h_T$ values was drawn and cluster analysis was conducted. Based on the four criteria suggested for the evaluation of Web contents, we concluded that the $h_T$-index is a relatively appropriate tool for the Web contents preference evaluation. The $h_T$-index was applied to visually represent the relative weight (topic preference by user 'Likes' count) for each subject category of the real online contents after suggesting the relative appropriateness of the $h_T$-index. Applying scientometric indicators to Web information could provide new insights into, and potential methods for, Web contents evaluation. In addition, information on the focus of users' attention would help online informants to plan more effective content strategies. The study tries to expand the application area of the h-type indices to non-academic online environments. The research procedure enables examination of the appropriateness of the index and highlights considerations for applying the indicators to Web contents.