• 제목/요약/키워드: Online event

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코로나-19 유행으로 인한 사건충격, 건강신념 및 자가치료지침 수행 간의 관계에 관한 융합연구 (A Convergence Study on the Relationship between Impact of Event, Health Beliefs and Adherence to Self-Care Guideline for COVID-19)

  • 신선화;백온전
    • 한국융합학회논문지
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    • 제11권10호
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    • pp.337-348
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    • 2020
  • 본 연구의 목적은 대구/경북지역의 일반 성인을 대상으로 사건충격과 건강신념이 자가치료지침 수행에 영향을 미치는지 확인하고, 사건충격과 자가치료지침 수행 간의 관계에서 건강신념의 매개효과를 살펴보고자 수행하였다. 연구 참여자는 대구/경북지역에 거주하는 331명의 성인이며, 온라인 설문조사를 통해 자료를 수집하였다. 수집한 자료는 위계적 회귀분석과 Process Procedure (Model 4)를 이용하여 매개효과를 분석하였다. 연구결과, 사건충격은 건강신념에 유의한 직접효과가 있었고, 건강신념은 자가치료지침 수행에 유의한 직접효과가 있었다. 또한, 건강신념은 사건충격과 자가치료지침 수행 간의 관계에서 매개효과가 유의하게 나타났다. 일반 성인을 대상으로 하는 건강교육을 적용함에 있어서 코로나-19와 같은 신종전염병에 관한 건강신념을 확립할 수 있는 교육내용이 필요하며, 자가치료지침 수행을 향상시킬 수 있는 프로그램을 주기적으로 수행할 필요가 있음을 논의하였다.

10대 학생들을 위한 온라인 학습 커뮤니티 설계 및 개발 (The Design and Development of Online Learning Community for Teenagers)

  • 조미헌
    • 정보교육학회논문지
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    • 제11권1호
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    • pp.79-89
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    • 2007
  • 10대 학생들의 지속적인 인터넷 이용률 상승과 높은 온라인 커뮤니티 참여율을 고려할 때, 그들이 인터넷 이용을 통해 경험할 수 있는 역기능을 최소화하고 긍정적인 경험을 쌓을 수 있도록 지도하는 것이 필요하다. 학생들은 온라인 커뮤니티 활동을 통해서 다양한 사회성을 경험하고, 자아성을 탐색할 수 있다. 그러나 다른 한편으로, 학생들을 대상으로 하는 상당수의 온라인 커뮤니티들이 사회적인 배려와 관심을 제공하지 못하여 학생들의 가치관 혼란이나 잘못된 행동을 유도하기도 한다. 이러한 문제를 고려하여, 본 연구는 10대 학생들의 요구를 수용하면서 동시에 그들의 요구를 학습 활동과 연계할 수 있는 온라인 학습 커뮤니티에 초점을 두고, 활발한 공동체 활동과 학습 활동을 진행할 수 있는 온라인 학습 커뮤니티를 설계하고 개발하였다. 커뮤니티는 운영 취지를 소개하고, 알림방, 요구함 등을 제시하는 'e-Tivity소개', '이벤트홀' '자료파크' 'e-Tivity센터' 등으로 구성된 커뮤니티 활동 공간, '교사연구실' '관리실'로 구성된 교사와 관리자 공간, 'My Room' 아바타 꾸미기 등의 기능을 제공하는 학생 개인 공간 등으로 구성되었다.

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외식기업 SNS 사용 특성에 따른 지각된 사용 용이성, 서비스가치 및 온라인 구전의도의 차이 분석 (Analysis of Differences in the Perceived Ease of Use, Service Value and Online Mouth-to-mouth Intention according to the Catering Companies Use SNS Features)

  • 오왕규;임현철
    • 한국식품영양학회지
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    • 제28권3호
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    • pp.358-368
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    • 2015
  • The study is focused on analyzing the SNS using characteristics of the people surveyed, as for the SNS acceptance channel of the food service corporations, accounted voluntarily for 71%. The SNS food service information regarding information of menu, location of store, price, coupon, taste evaluation, event, promotion, reservation and store atmosphere was researched. The most preferred information sharing for SNS food service were researched and found Facebook, blog and others in increasing order. The most preferred media to obtain SNS food service information were smart phone, desktop computer and others. The result of verifying differences in the perceived ease of use were also evaluated according to the food service corporation of SNS using characteristics of the people and was found: the longer period of SNS use, longer was access time: more number of visiting times, higher perceived ease of use. As for the difference in the perceived service value: longer the period of SNS use, more preferred was the blog: the more number of visiting times, the higher perceived service value. As for the difference in the online mouth-to-mouth intention: longer the period of SNS use, longer was access time: the more number of visiting times, the higher online mouth-to-mouth intention. Therefore, these research results provide useful implications in the working-level aspects such as providing basic data and the academic approach of the study, when the food service corporations establish marketing strategies through SNS.

Ultrasonic wireless sensor development for online fatigue crack detection and failure warning

  • Yang, Suyoung;Jung, Jinhwan;Liu, Peipei;Lim, Hyung Jin;Yi, Yung;Sohn, Hoon;Bae, In-hwan
    • Structural Engineering and Mechanics
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    • 제69권4호
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    • pp.407-416
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    • 2019
  • This paper develops a wireless sensor for online fatigue crack detection and failure warning based on crack-induced nonlinear ultrasonic modulation. The wireless sensor consists of packaged piezoelectric (PZT) module, an excitation/sensing module, a data acquisition/processing module, a wireless communication module, and a power supply module. The packaged PZT and the excitation/sensing module generate ultrasonic waves on a structure and capture the response. Based on nonlinear ultrasonic modulation created by a crack, the data acquisition/processing module periodically performs fatigue crack diagnosis and provides failure warning if a component failure is imminent. The outcomes are transmitted to a base through the wireless communication module where two-levels duty cycling media access control (MAC) is implemented. The uniqueness of the paper lies in that 1) the proposed wireless sensor is developed specifically for online fatigue crack detection and failure warning, 2) failure warning as well as crack diagnosis are provided based on crack-induced nonlinear ultrasonic modulation, 3) event-driven operation of the sensor, considering rare extreme events such as earthquakes, is made possible with a power minimization strategy, and 4) the applicability of the wireless sensor to steel welded members is examined through field and laboratory tests. A fatigue crack on a steel welded specimen was successfully detected when the overall width of the crack was around $30{\mu}m$, and a failure warnings were provided when about 97.6% of the remaining useful fatigue lives were reached. Four wireless sensors were deployed on Yeongjong Grand Bridge in Souht Korea. The wireless sensor consumed 282.95 J for 3 weeks, and the processed results on the sensor were transmitted up to 20 m with over 90% success rate.

An Intelligent Game Theoretic Model With Machine Learning For Online Cybersecurity Risk Management

  • Alharbi, Talal
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.390-399
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    • 2022
  • Cyber security and resilience are phrases that describe safeguards of ICTs (information and communication technologies) from cyber-attacks or mitigations of cyber event impacts. The sole purpose of Risk models are detections, analyses, and handling by considering all relevant perceptions of risks. The current research effort has resulted in the development of a new paradigm for safeguarding services offered online which can be utilized by both service providers and users. customers. However, rather of relying on detailed studies, this approach emphasizes task selection and execution that leads to successful risk treatment outcomes. Modelling intelligent CSGs (Cyber Security Games) using MLTs (machine learning techniques) was the focus of this research. By limiting mission risk, CSGs maximize ability of systems to operate unhindered in cyber environments. The suggested framework's main components are the Threat and Risk models. These models are tailored to meet the special characteristics of online services as well as the cyberspace environment. A risk management procedure is included in the framework. Risk scores are computed by combining probabilities of successful attacks with findings of impact models that predict cyber catastrophe consequences. To assess successful attacks, models emulating defense against threats can be used in topologies. CSGs consider widespread interconnectivity of cyber systems which forces defending all multi-step attack paths. In contrast, attackers just need one of the paths to succeed. CSGs are game-theoretic methods for identifying defense measures and reducing risks for systems and probe for maximum cyber risks using game formulations (MiniMax). To detect the impacts, the attacker player creates an attack tree for each state of the game using a modified Extreme Gradient Boosting Decision Tree (that sees numerous compromises ahead). Based on the findings, the proposed model has a high level of security for the web sources used in the experiment.

빅데이터를 활용한 색조화장품의 구매 요인에 관한 연구: 토픽모델링과 Concor 분석을 중심으로 (A Study on the Purchasing Factors of Color Cosmetics Using Big Data: Focusing on Topic Modeling and Concor Analysis)

  • 이은희;배승희
    • 한국응용과학기술학회지
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    • 제40권4호
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    • pp.724-732
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    • 2023
  • 본 연구에서는 코로나 이후 색조화장품 시장의 소비자들의 온라인 관심 정보에 대한 자료 수집을 통하여 색조화장품 정보 검색의 특성과 텍스트 마이닝 분석 결과에 나타난 코로나 이후 색조화장품 시장의 주요 관심정보들을 분석하고자 하였다. 실증분석에서는 "색조화장품" 이라는 단어를 포함하는 뉴스, 블로그, 카페, 웹페이지 등의 모든 문서들을 분석 대상으로 텍스트 마이닝을 수행하였다. 분석 결과 코로나 이후 색조화장품에 대한 온라인 정보 검색은 주로 구매 정보와 피부와 마스크 관련 화장법 등에 관한 정보와 관심 브랜드와 행사 정보 등의 주요 토픽이 주를 이루고 있었다. 결과적으로 코로나 이후 색조화장품 구매자들은 적극적인 온라인 정보 검색을 통하여 제품 가치와 안전성, 가격 혜택, 매장 정보 등의 구매 정보에 더욱 민감하게 될 것이므로 이에 대한 대응전략이 요구된다.

온도센서를 이용한 전력설비의 온라인 상태 감시 (On-Line Condition Monitoring of Electrical Equipment Using Temperature Sensor)

  • 최용성;김선재;김영민;송환기;이경섭
    • 전기학회논문지P
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    • 제57권2호
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    • pp.202-208
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    • 2008
  • Condition monitoring technologies allow achieving this goal by minimizing downtime through the integrated planning and scheduling of repairs indicated by condition monitoring techniques. Thermal runaways induced by conduction problems deteriorate insulating material and cause disruptive dielectric discharges resulting in arcing faults. Therefore, having the ability to directly measure the temperature of the contacts while in service will provide more information to determine the true condition of the equipment. It allows connective measures to be taken to prevent upcoming failure. Continuous temperature monitoring and event recording provides information on the energized equipment's response to normal and emergency conditions. On-line temperature monitoring helps to coordinate equipment specifications and ratings, determine the real limits of the monitored equipment and optimize facility operations. Using wireless technique eliminates any need for special cables and wires with lower installation costs if compared to other types of online condition monitoring equipment. In addition, wireless temperature monitoring works well under difficult conditions in strategically important locations. Wireless technology for on -line condition monitoring of energized equipment is applicable both as stand alone system and with an interface for power quality monitoring system. The paper presents the results of wireless temperature monitoring: of electrical equipment at a power plant.

Framing advocacy event: Comparing news coverage and Facebook comments of the Belt and Road Forum in Pakistan and the USA

  • Xu, Yi
    • Journal of Contemporary Eastern Asia
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    • 제20권1호
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    • pp.1-23
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    • 2021
  • With regard to the recent developments in public diplomacy, the increasing fusion of strategic communication appears necessary. China engages in public diplomacy with a strategic purpose to shape its national image abroad. Hosting diplomatic advocacy event is regarded as an instrument with expectations to present reliable and responsible image and promote international collaborations. The present research focuses on the Belt and Road Forum (BRF) in May 2017 with the objective to analyze its outcomes and influence on the international news agenda, news frames, and foreign citizens' comments online. The quantitative content analyses are used to compare the media reports (N=364) and Facebook users' comments on the selected news (N=957) between the US and Pakistan. Results reveal that Pakistani media provided more diverse frames and attributed more positive evaluations to the BRF than the US media. However, Facebook comments expressed more unfavorable opinions toward the BRF and China's image with rare differences between two countries. In conclusion, the BRF has served as an eye-catching advocacy of Chinese foreign policy, as it influenced the news agenda in two selected countries. However, news frames vary due to the differences in media system and the involvement in the BRF. China's public diplomacy practices follow a traditional top-down communication which needs meticulous subdivision of target stakeholders, delicate messaging strategies, and integrated tactics.

K 패션에 대한 글로벌 미디어 보도 경향 분석 -다이내믹 토픽 모델링(Dynamic Topic Modeling)의 적용- (Analysis of Global Media Reporting Trends for K-fashion -Applying Dynamic Topic Modeling-)

  • 안효선;김지영
    • 한국의류학회지
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    • 제46권6호
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    • pp.1004-1022
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    • 2022
  • This study seeks to investigate K-fashion's external image by examining the trends in global media reporting. It applies Dynamic Topic Modeling (DTM), which captures the evolution of topics in a sequentially organized corpus of documents, and consists of text preprocessing, the determination of the number of topics, and a timeseries analysis of the probability distribution of words within topics. The data set comprised 551 online media articles on 'Korean fashion' or 'K-fashion' published on Google News between 2010 and 2021. The analysis identifies seven topics: 'brand look and style,' 'lifestyle,' 'traditional style,' 'Seoul Fashion Week (SFW) event,' 'model size,' 'K-pop,' and 'fashion market,' as well as annual topic proportion trends. It also explores annual word changes within the topic and indicates increasing and decreasing word patterns. In most topics, the probability distribution of the word 'brand' is confirmed to be on the increase, while 'digital,' 'platform,' and 'virtual' have been newly created in the 'SFW event' topic. Moreover, this study confirms the transition of each K-fashion topic over the past 12 years, along with various factors related to Hallyu content, traditional culture, government support, and digital technology innovation.

한영 모바일 번역기를 위한 강건하고 경량화된 한국어 형태소 분석기 (A Light Weighted Robust Korean Morphological Analyzer for Korean-to-English Mobile Translator)

  • 여상화
    • 한국컴퓨터정보학회논문지
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    • 제14권2호
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    • pp.191-199
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    • 2009
  • 본 논문에서는 핸드폰, 스마트폰, PDA폰 등의 모바일폰에서 동작하는 강건하고 경량화된 한국어 형태소 분석기를 제안한다. 이들 모바일 장치들은 낮은 CPU 성능과 메모리 사용에서의 제약으로 인해 자연언어 인터페이스를 적용하기 곤란했다. 본 논문에서는 1) 키 이벤트 핸들러 (Key Event Handler)를 이용한 온라인 형태소 분석과 2) 붙여 쓴 오류 문장에 대해 띄어쓰기 오류 교정의 전처리 과정 없이 강건한 형태소 분석 방법을 제안한다. 본 논문에서 제안된 경량화된 한국어 형태소 분석기는 모바일 한영 번역기 시제품에 적용하여 메모리 사용량은 5.8% 줄이고 평균 반환 시간은 19.0% 개선하였다.