• 제목/요약/키워드: Platform for Impact Analysis

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Factors affecting COVID-19 health information sharing behaviors via social media: A comparison between South Korea and China

  • Kim, Jong Ki;Wang, Jian Bo
    • 한국정보시스템학회지:정보시스템연구
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    • 제33권1호
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    • pp.159-182
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    • 2024
  • Purpose This study aims to investigate the factors influencing social media users' sharing behaviors of COVID-19 health information. Specifically, we seek to examine the impact of three key antecedents-trust in information source, trust in information content, and trust in social media platform-on users' trust in information quality and determine whether their effects vary between South Korea and China. Design/methodology/approach To fulfill our research objectives, we conducted an online survey across two countries, collecting 408 valid responses (South Korea: N = 201; China: N = 207) for our analysis. We employed Partial Least Squared based Structural Equation Modeling (PLS-SEM) with SmartPLS 4 and performed Exploratory Factor Analysis (EFA) and independent t-tests with SPSS 27. Findings The study revealed that perceived risks significantly inhibit users from sharing health information, highlighting the critical role of trust in countering these effects. We also identified variances in the levels of trust in information content and trust in social media platform between the two countries, which offers fresh perspectives for designing culturally tailored public health communications and interventions.

컴파운드 양궁의 팔로우 스루 동작과 사격 정확도의 상관관계 (Relationship of Follow-through Movements to Target Accuracy in Compound Archers)

  • Junkyung Song;Kitae Kim
    • 한국운동역학회지
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    • 제34권1호
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    • pp.34-44
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    • 2024
  • Objective: This study aimed to investigate how the movements occurring during the follow-through phase after releasing an arrow among elite compound archers, are associated with the arrow impact points on the target. Method: Nine elite archers performed consecutive compound archery shooting under conditions identical to actual competitions using their own bows and equipment. Motion capture system and force platform were utilized to record the changes in joint positions and center of pressure, respectively. Principal component analysis was employed to identify the patterns in which multidimensional joint positions and COP changes were organized with horizontal and vertical coordinates of arrow impact points. Subsequently, correlation analysis quantified the relationship between individual variables and the coordinates of arrow impacts on the target. Results: We found a common organizational pattern in which the two axes of the impact point coordinates were grouped into the first two principal components. The movements of the upper and lower limbs following release exhibited opposite patterns in the anterior-posterior axis, with significant correlations observed between the arrow impact points of the horizontal axis and the left shoulder, right elbow, left hip, and both knees. Additionally, the lateral movements induced by the reaction force upon arrow release showed significant associations with the vertical coordinates of the impact points. Particularly, the correlations between the movements of the left shoulder and elbow, as well as the bilateral hip and right knee, were consistently observed among all participants. Conclusion: These findings implied that the post-release movements could significantly influence the trajectory and impact points of the arrows in compound archery. We suggest that a consistent and controlled movement during the follow-through phase may be more beneficial for optimizing shooting accuracy and precision rather than minimizing movements.

광전송플랫폼에서의 망동기장치 구현과 광전송망에 미치는 원더의 영향분석 (An Implementation of the Network Synchronization Equipment on Optical Transmission Flatform and Impact Analysis of the Wander on NG-SDH Network)

  • 양충열;고제수;이창기;김환우
    • 한국통신학회논문지
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    • 제32권7A호
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    • pp.678-685
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    • 2007
  • 광전송플랫폼 또는 차세대 패킷, TDM 데이터 통합 스위칭 시스템을 위한 망동기장치를 구현하고, 원더잡음 성분이 NG-SDH 광전송망에 미치는 영향을 제시하였다.

Does Instagram Have More Negative Impact on Psychological Well-Being? The Case of Korean College Students

  • Indeok Song
    • Asian Journal for Public Opinion Research
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    • 제11권1호
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    • pp.4-30
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    • 2023
  • Previous research has empirically demonstrated the negative effects of social media use on young people's psychological well-being. Unlike most previous studies that focused on either Facebook or Instagram, this study comparatively examined the differences in upward comparison and its effects on self-esteem, life satisfaction, and depression between Facebook and Instagram. An analysis of survey data from 641 Korean college students, who reportedly use these two social media more actively than any other age group, found that college students experience more upward comparisons on Instagram than on Facebook. Upward comparisons on both Facebook and Instagram increased by college students' age and weekly usage time. Upward comparisons on Instagram increased by the additional factors of gender (females more than males) and number of "followings." Subsequently, the effects of upward comparison on psychological well-being were found to differ by social media platform. Upward comparisons were found to negatively impact all determinants of psychological well-being only on Instagram, but not on Facebook. The differences in upward comparison and its impact on young users' psychological well-being found in this study were discussed in terms of the different functional characteristics of the two social media platforms, which provides direction for further research needed to establish guidelines for healthy social media use by young people.

스쿼시 Forehand 드라이브 동작 시 운동역학적 비교연구 (A Comparative Analysis of Kinematics and Kinetics on Forehand Drive in Squash)

  • 진영완;박양희;박재영
    • 한국운동역학회지
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    • 제17권4호
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    • pp.17-25
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    • 2007
  • The purpose of the study is to give basic data for the improvement of the skill and to show an exemplary position for squash club members or trainers thru a comparative analysis on the kinematics and kinetics variables on the forehand drive motion in playing squash. The objects of the research are divided into two sections, skilled group(n=8) and unskilled group(n=8). The skilled group is composed of professional players currently working and unskilled group is career of six month, both of lives in B city. In this research, to gather the data 3D motion analysis and test result analysis using force platform was used. The variables are duration, position, segment velocity, segment acceleration and etc. in using force platform. The results are as follows: 1. The duration per phase of the skilled is 0.18sec P1(DS) while that of unskilled is 0.32sec. in P2(FT), the duration of the skilled is 0.29sec, that of unskilled is 0.34sec. Average of the duration of the skilled is 0.48sec, while the unskilled, 0.66sec. 2. Regarding positional movements per event, the unskilled has a relatively higher position in center of gravity, shoulder joint, elbow joint compared with that of the skilled. Generally speaking, positions of the unskilled is higher than the skilled. 3. In segment velocity per event, R-shank, R-upper arm, R-forearm and racket. The skilled is faster than the unskilled. we found a big dig difference in shank. 4. In acceleration per event, there was a big difference in upper-arm and fore-arm of the impact. 5. The skilled group on the force platform shows relatively stable and regular changes while the unskilled shows unstable from the touch down to initial 20% the force value of central support period after the impact moment decreases rapidly and the center of gravity is not moved well. 6. The maximum force value of the skilled is 1019.7N. it is found 19.86% of the total duration. That of the unskilled is 639.2N, it is found 20.67% of total duration.

소방관 보조로봇 플랫폼의 내충격성능 향상을 위한 구조 보강 설계 (The Structural Reinforcement Design of Firefighter Assistance Robots for Improving the Impact Resistance)

  • 신동환;김윤구;안진웅
    • 대한임베디드공학회논문지
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    • 제6권5호
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    • pp.273-280
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    • 2011
  • In this paper, we describe the structural reinforcement approach of the throwing-type firefighter assistance robot which can be thrown into a fire site to monitor inside the place and search trapped people while ensuring a firefighter's safety. The reinforcement design is focused on high strength with low weight for the robot. The in-depth structural analysis of the platform is carried out to track down the weakest part, especially with the 1.8m height of drop test. The analysis is verified by comparing with the 1.8m height of the drop test of the throwing-type firefighter assistance robot. The optimal approach for improving the strength of the weakest part aims at topological equivalent and equivalently stress distributed shape.

Design and Empirical Study of an Online Education Platform Based on B2B2C, Focusing on the Perspective of Art Education

  • Hou, Shaopeng;Ahn, Jongchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권2호
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    • pp.726-741
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    • 2022
  • The purpose of this study is to provide instructive theoretical models for art (music) education institutions especially when unpredictable risks, such as pandemics, occur again. Based on the customer behavior theory of the business-to-business-to-customer (B2B2C) platform, and in combination with the technology acceptance model (TAM) and expectation confirmation model (ECM), this study proposes an online education model from the perspective of art education. The framework is based on the three decision-making processes of the customer, and includes the product owner, content owner, and customer area. This paper highlights the factors that influence customers in making decisions when art education institutions are product owners. Regression analysis was introduced to study the factors influencing the expectation confirmation, and the overall fitting testing and six hypotheses testing of 385 effective samples were performed using the structural equation modeling (SEM). The results show that the course-design and after-service positively influenced the expectation confirmation, and the domain image positively influenced the continuance behavior. Negative emotions skipped the mediator (expectation confirmation) and directly exerted a significant negative impact on customers' willingness to continue system usage (continuance behavior). In addition, expectation confirmation positively influenced continuance behavior. The paths of detailed items comprising course-design, after-service, and negative emotion were also analyzed and discussed. In this path analysis, ordinary art learners did not believe that AI partners can play a very good auxiliary role. The findings contribute to the scope of information systems acting as an art education platform academically, and provide effective and theoretical support for the actual operation of art education institutions.

소셜 커머스가 전자상거래에 미치는 영향 : 소셜 커머스 분석 모델 관점에서 (Impacts of Social Commerce in E-commerce : In perspective of Social Commerce Analysis Model)

  • 진동수;임재욱
    • 통상정보연구
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    • 제14권1호
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    • pp.369-390
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    • 2012
  • 소셜 네트워크의 확산으로 소셜 커머스 산업이 빠른 속도로 성장하고 있지만, 기술적 차원이 아닌 비즈니스 모델 차원에서 소셜 커머스가 상거래 방식 전반에 미치는 영향에 관한 연구는 찾아보기 힘들다. 본 연구에서는 비즈니스 모델차원에서 소셜 커머스 분석 프레임워크로 참여자, 가치, 수익이라는 세 가지 차원을 설정하고 각각의 차원에서 소셜 커머스가 전자상거래에 미치는 영향을 분석 및 제시하고, 현재 소셜 커머스가 가지는 한계점 및 향후 발전방향에 대하여 제시하고자 한다.

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텍스트마이닝을 활용한 교통영향평가 교통개선대책 분석 : 경기도 도시개발사업을 대상으로 (Analysis of Traffic Improvement Measures in Transportation Impact Assessment Using Text Mining : Focusing on City Development Projects in Gyeonggi Province)

  • 양은혜;강희찬;안우영
    • 한국ITS학회 논문지
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    • 제22권2호
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    • pp.182-194
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    • 2023
  • 교통영향평가는 도시·교통 사업 시행 시에 발생할 수 있는 교통문제를 사전에 해결하는 주요한 역할을 하는 제도이지만 사업의 특성을 고려한 작성 지침과 명확한 심의 기준이 없어 심의 결과의 일관성이 떨어지는 문제점이 있다. 본 연구에서는 교통영향평가에서 심의 의결된 교통개선대책을 분석하여 심의 결과의 핵심 키워드를 찾고 교통영향평가에서 주요하게 검토해야 하는 항목을 제시하고자 한다. 이를 위해 경기도에서 심의 의결된 도시개발사업의 교통개선대책을 중심으로 TF-IDF 및 N-gram 분석을 활용한 텍스트마이닝을 하였다. 도시개발사업에 주요하게 고려되는 사항은 도로, 교차로 등 교통 기반시설의 신설이 주요한 키워드였으며 다음으로 진출입구 위치 설정, 보행 동선 연결이 주요한 사항이었다. 향후 교통영향평가 지침과 심의 기준 마련 시 본 연구에서 제시한 주요 항목을 반영함으로써, 교통영향평가의 일관성과 객관성을 높이는 심의 운영에 이용할 수 있을 것으로 기대한다.

SOPPY : A sentiment detection tool for personal online retailing

  • Sidek, Nurliyana Jaafar;Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • 제9권3호
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    • pp.59-69
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    • 2017
  • The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.