• Title/Summary/Keyword: Portal Sites

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Analysis of a Causal Relationship between Collective Emotion and Behavior to Sport Issues in SNS (SNS에서의 스포츠이슈에 대한 집단감정과 집합행동의 관계)

  • Lee, Jong-Kil;Lee, Kong-Joo;Yang, Jae-Sik
    • Journal of Convergence for Information Technology
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    • v.9 no.2
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    • pp.165-171
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    • 2019
  • The purpose of this study was to analyse a causal relationship between collective emotion and behavior to sport issues in SNS. For the purpose, 5 sports issues with obvious collective behavior and 5 concerned articles in typical portal sites were selected. From those, each 100 comments with highest recommendation and 5 obvious actions made by the crowd were sampled as the analysis subjects. The results of statistical analyses on collective emotion and behavior materials were as follows. First, collective emotions showed differences by the sports issues. Second, there was a significant causal relationship between collective emotion and behavior in SNS. This study could receive a favorable evaluation due to the statistical analysis on a causal relationship between collective emotion and behavior.

Current Status of SNS Marketing Design and Development of Production Education (SNS 마케팅 디자인의 현황과 제작 교육 개발 방안)

  • Cho, HyunKyung
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.267-272
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    • 2018
  • Today, SNS exists as the most influential medium. A variety of designs are being produced in the context of numerous SNS marketing designs and the increasing exposure of ads to SNS and portal sites. Recognizing the current status of sns advertising design, which is heating up more than a decade ago, we will study strategies to introduce an important part of education to be conducted in universities and the current way in which it is used and produced. Modern SNS marketing designs include promotional posters, card news, and banner ads, and are evolving into various forms and content that are combined with advertisements. In communicating or sharing information, the importance of real-time advertising product work and the saving of caustic costs are important. This requires a diversification of university education, as well as a change in quality and speed of production. When the graduates of SNS Design Production Education Development Plan and design work were carried out, they conducted a study on the education section where real-time work is possible to proceed to the industrial field. Through this research, we would like to consider the development of SNS marketing design personnel and the practical implications of training methods.

Plan-Class Specific Reference Quality Assurance for Volumetric Modulated Arc Therapy

  • Rahman, Mohammad Mahfujur;Kim, Chan Hyeong;Kim, Seonghoon
    • Journal of Radiation Protection and Research
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    • v.44 no.1
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    • pp.32-42
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    • 2019
  • Background: There have been much efforts to develop the proper and realistic machine Quality Assurance (QA) reflecting on real Volumetric Modulated Arc Therapy (VMAT) plan. In this work we propose and test a special VMAT plan of plan-class specific (pcsr) QA, as a machine QA so that it might be a good solution to supplement weak point of present machine QA to make it more realistic for VMAT treatment. Materials and Methods: We divided human body into 5 treatment sites: brain, head and neck, chest, abdomen, and pelvis. One plan for each treatment site was selected from real VMAT cases and contours were mapped into the computational human phantom where the same plan as real VMAT plan was created and called plan-class specific reference (pcsr) QA plan. We delivered this pcsr QA plan on a daily basis over the full research period and tracked how much MLC movement and dosimetric error occurred in regular delivery. Several real patients under treatments were also tracked to test the usefulness of pcsr QA through comparisons between them. We used dynalog file viewer (DFV) and Dynalog file to analyze position and speed of individual MLC leaf. The gamma pass rate from portal dosimetry for different gamma criteria was analyzed to evaluate analyze dosimetric accuracy. Results and Discussion: The maxRMS of MLC position error for all plans were all within the tolerance limit of < 0.35 cm and the positional variation of maxPEs for both pcsr and real plans were observed very stable over the research session. Daily variations of maxRMS of MLC speed error and gamma pass rate for real VMAT plans were observed very comparable to those in their pcsr plans in good acceptable fluctuation. Conclusion: We believe that the newly proposed pcsr QA would be useful and helpful to predict the mid-term quality of real VMAT treatment delivery.

Analysis of NCS-supported Web Services in Junior College (전문대학의 NCS 지원 웹서비스 분석)

  • Pyo, Chang-Woo
    • Journal of the Health Care and Life Science
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    • v.8 no.2
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    • pp.105-111
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    • 2020
  • This study analyzed NCS-enabled Web services at colleges. The search scope was based on the NCS Support Center, etc. of the two domestic and one overseas portal sites. Support for the NCS Support Center web service from 12 Junior Colleges was analyzed after the search. There were three categories of NCS-enabled Web services. First, NCS-enabled service status analysis, second, NCS-enabled project status analysis, and third, junior college-specific differentiated NCS-enabled web service analysis were conducted. As a result, NCS-enabled services had more quantitative web pages than NCS-enabled project status services. However, NCS-enabled project status services have been presented with more detailed and practical data than NCS-enabled services. Differentiated Web services were able to analyze what included efforts to maximize NCS Web service support for each Junior College. Based on the results of this study, we look forward to improving the quality of NCS-enabled web services for Junior College education.

COVID-19 and Korean Family Life on Social Media: A Topic Model Approach (소셜 빅데이터로 알아본 코로나19와 가족생활: 토픽모델 접근)

  • Park, Sunyoung;Lee, Jaerim
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.282-300
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    • 2021
  • The purpose of this study was to explore what social media posts tell us about family life during the COVID-19 pandemic by examining the keywords and topics underlying posts on blogs and online forums. Our criteria for web crawling were (a) blog and forum posts on Naver and Daum, the top portal sites in Korea, (b) posts between February 23 and April 19, 2020, the period of the first heightened social distancing orders, and (c) inclusion of "COVID" and "family" or "COVID" and "home." We analyzed 351,734 posts using TF-IDF values and topic modeling based on latent Dirichlet allocation. We identified and named 22 topics including COVID-19 prevention, family infection, family health, dietary life and changes, religious life, stuck at home, postponed school year, family events, travel and vacations, concerns about family and friends, anxiety and stress, disaster and damage, COVID-19 warning text messages, family support policies, Shin-cheon-ji and Daegu. The results show that COVID-19 impacted various domains of family life including health, food, housing, religion, child care, education, rituals, and leisure as well as relationships and emotions.

A Study on the Consumer Perception of Metaverse Before and After COVID-19 through Big Data Analysis (빅데이터 분석을 통한 코로나 이전과 이후 메타버스에 대한 소비자의 인식에 관한 연구)

  • Park, Sung-Woo;Park, Jun-Ho;Ryu, Ki-Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.287-294
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    • 2022
  • The purpose of this study is to find out consumers' perceptions of "metaverse," a newly spotlighted technology, through big data analysis as a non-face-to-face society continues after the outbreak of COVID-19. This study conducted a big data analysis using text mining to analyze consumers' perceptions of metaverse before and after COVID-19. The top 30 keywords were extracted through word purification, and visualization was performed through network analysis and concor analysis between each keyword based on this. As a result of the analysis, it was confirmed that the non-face-to-face society continued and metaverse emerged as a trend. Previously, metaverse was focused on textual data such as SNS as a part of life logging, but after that, it began to pay attention to virtual reality space, creating many platforms and expanding industries. The limitation of this study is that since data was collected through the search frequency of portal sites, anonymity was guaranteed, so demographic characteristics were not reflected when data was collected.

A Study on the Characteristics and Progress of New Voice Phishing Based on Psychological Descriptions (심리적 기재를 기반으로 한 신종 보이스피싱의 특성 및 진행과정에 관한 연구)

  • SeiYouen Oh;HyeJin Song
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.510-518
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    • 2023
  • Purpose: This study compares and analyzes the characteristics and progress of existing voice phishing and new voice phishing to present a basic policy plan to prepare countermeasures against new voice phishing based on psychological descriptions. Method: The criminal progress and characteristics of the two were compared and analyzed through damage cases on various portal sites centered on voice phishing crime scenarios. Result: As a result of analyzing the progress of the third stage of new voice phishing, the scenario of new voice phishing that can deceive victims was written more carefully and the scope of the crime was expanded. In the crime execution stage, the victim was socially isolated, reducing the victim's judgment ability, making it more difficult for investigative agencies to investigate, and in the final stage, the continuity and expansion of criminal damage such as extortion of money and valuables are shown. Conclusion: There were differences in the target and scope of the crime and the method of the crime strategy between the two, and the possibility of damage is much greater, so a more efficient response strategy should be prepared.

Correlation Analysis among Searches of Hwa-Byung, Depression, and Suicide Using Big Data: from 2016 to 2022 (빅데이터를 활용한 화병, 우울증, 자살의 검색 상관관계 분석: 2016년부터 2022년까지)

  • Chan-Young Kwon;Won-Ill Kim
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.1
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    • pp.13-21
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    • 2023
  • Objectives: The aim of this study was to analyze correlations among searches of hwa-byung, depression, and suicide using big data. Methods: Keywords searches were performed using both Google Trends and Naver Data Lab on December 13, 2022. From 2016 to 2022, search results for keywords 'hwa-byung', 'depression', and 'suicide' were extracted with a score between 0 and 100 in terms of relative search popularity (RSP). Monthly time analysis, correlation analysis, and regional analysis were then conducted for these scores. Results: Regardless of the search period, RSP for both portal sites was in the order of 'suicide', 'depression', and 'hwa-byung'. Over time, search for 'depression' tended to increase in Google (slope: 0.0092), whereas search for 'hwa-byung' showed a slight increase in Naver (slope: 0.0024). Correlation coefficient for search terms 'depression' and 'suicide' was 0.3969 in Google Trends and 0.4459 in Naver Data Lab, showing clear positive correlations. On the other hand, there was little correlation between search results of 'hwa-byung' and 'depression' or between 'hwa-byung' and 'suicide'. However, compared to males, females showed higher positive associations between search results of 'hwa-byung' and 'depression' and between 'hwa-byung' and 'suicide'. Search terms 'depression' and 'suicide' showed high RSPs in most regions in South Korea. However, 'hwa-byung' had distinct regional differences in terms of RSP. Conclusions: Results of this study will help us understand Korean public's perception of the relevance of hwa-byung, depression, and suicide and plan future research in this topic. In addition, findings of this study may provide future public health implications for reducing the high suicide rate in Korea.

A Study on the Perception of Artificial Intelligence Literacy and Artificial Intelligence Convergence Education Using Text Mining Analysis Techniques (텍스트 마이닝 분석기법을 활용한 인공지능 리터러시 및 인공지능 융합 교육에 관한 인식 연구)

  • Hyeok Yun;Jeongrang Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.553-566
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    • 2022
  • This study collects social data and academic research data from portal sites and RISS, and analyzes TF-IDF, N-Gram, semantic network analysis, and CONCOR analysis to analyze the social awareness and current aspects of 'AI Literacy' and 'AI Convergence Education'. Through this, we tried to understand the social awareness aspect and the current situation, and to suggest implications and directions. In the social data, the collection of 'AI Convergence Education' was more than twice that of 'AI Literacy', indicating that awareness of 'AI Literacy' was relatively low. In 'AI Literacy', the keyword 'human' in social data showed no cluster to which it belonged, indicating a lack of philosophical interest in and awareness of humanities and AI. In addition, the keyword 'Ministry of Education' showed high frequency, importance, and centrality of connection only in the social data of 'AI convergence education', confirming that 'AI convergence education' is closely related to government policy.

Intelligent Retrieval System for finding important travel information (중요 여행 정보를 찾기 위한 지능 검색 시스템)

  • Yun, Un-Il;Shin, Hyeon-Il;Ryu, Keun-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.113-121
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    • 2009
  • The increasing interest in leisure activities of a five-day work per week has been recently prevailed. Additionally, as internet and mobile infrastructures have been becoming widespread, the user can get specific information using a search engine. However, it is difficult for the user to get accurate information they really want as shared information has been rapidly increased and the information has been searched. For example, users can retrieve required travel information, but they also must see a huge number of travel advertisements. In this paper, we design and implement a retrieval system using travel information collecting agent. The information gathering agent regularly visits travel-related category pages of the portal sites and major media travel-article pages to collect information related to travel, and the agent stores the gathered information to a database. Then, users can search the travel information conveniently without the need to view advertisements.