• Title/Summary/Keyword: 정보 영향 민감성

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An Extension of Possibilistic Fuzzy C-means using Regularization (Regularization을 이용한 Possibilistic Fuzzy C-means의 확장)

  • Heo, Gyeong-Yong;NamKoong, Young-Hwan;Kim, Seong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.43-50
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    • 2010
  • Fuzzy c-means (FCM) and possibilistic c-means (PCM) are the two most well-known clustering algorithms in fuzzy clustering area, and have been applied in many applications in their original or modified forms. However, FCM's noise sensitivity problem and PCM's overlapping cluster problem are also well known. Recently there have been several attempts to combine both of them to mitigate the problems and possibilistic fuzzy c-means (PFCM) showed promising results. In this paper, we proposed a modified PFCM using regularization to reduce noise sensitivity in PFCM further. Regularization is a well-known technique to make a solution space smooth and an algorithm noise insensitive. The proposed algorithm, PFCM with regularization (PFCM-R), can take advantage of regularization and further reduce the effect of noise. Experimental results are given and show that the proposed method is better than the existing methods in noisy conditions.

Factors Influencing the Consumer Adoption of Technological Innovations: An Exploratory Research (신제품의 소비자 수용 영향요인에 관한 탐색적 연구)

  • Suh, Sang-Hyuk;Ko, Jong-Wook;Cho, Sung-Bok
    • Journal of Korea Technology Innovation Society
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    • v.11 no.4
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    • pp.450-475
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    • 2008
  • The successful diffusion of innovation depends on an understanding of the consumer innovators, although they represent a small group of consumers. Researchers have studied the personalities of innovators to explain how these are associated with innovativeness. This paper examined the relationships of need for uniqueness, susceptibility to interpersonal influence, attention to social comparison information, and role-relaxed consumption to individual innovativeness. Data were collected from 319 students in Seoul. The results supported by large hypothesized relationships among these variables. Based on the results of the analysis, practical implications were discussed.

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Influence of Distributive Injustice and Relation Conflict on Knowledge Hoarding: Role of Sensitivity to Incentive and Task Interdependence (분배 불공정성과 관계 갈등이 지식축적에 미치는 영향: 인센티브 민감성 및 업무 의존도의 역할)

  • Inho Hwang
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.131-149
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    • 2023
  • In light of the COVID-19 incident, organizations have recognized the importance of systematically managing knowledge resources to enhance work efficiency and performance within the organization. We have adopted the perspective of knowledge hoarding, which entails the ownership of individual knowledge, and aim to elucidate the underlying mechanisms that contribute to knowledge hoarding by considering the organizational environment, personal characteristics, and task characteristics. To test our hypothesis, we conducted a survey among employees working in companies that have implemented knowledge management policies or systems. We obtained a total of 381 samples, which were analyzed using AMOS 22.0 and Process 3.1 macros. Our findings reveal that distributive injustice leads to conflicts relationships and subsequently increases individual knowledge hoarding. Furthermore, we found that sensitivity to incentive interacts with distributive injustice, further exacerbating knowledge hoarding. Conversely, task interdependence mitigates knowledge hoarding by interacting with distributive injustice and relation conflict. These results contribute to the development of effective organizational knowledge management strategies aimed at curbing knowledge hoarding within the organization.

Factors Affecting Female College Students' Reproductive Health Information Seeking Behaviors on the Internet (여대생의 인터넷 생식건강정보 탐색에 영향을 미치는 요인 연구)

  • Hyunsoo Yoon;Sanghee Oh;Yeongmi Lee
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.389-409
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    • 2024
  • The purpose of this study is to identify the factors affecting female college students' behaviors in seeking reproductive health information on the Internet and to explore the relationships among these factors. Based on the Health Belief Model(HBM) and the Theory of Planned Behavior(TPB), perceived sensitivity, perceived severity, perceived benefit, perceived barriers, subjective norms, perceived behavioral control, and affective evaluation were defined as key factors, and the study was designed accordingly. An online survey was distributed to female college students in Seoul through the university student's online community, 'Everytime.' The results showed that the intention of female college students to seek reproductive health information via the Internet was associated with higher perceived sensitivity, perceived benefit, and subjective norms, and lower perceived barriers. There were statistically significant differences between groups in terms of sexual experiences, experience with reproductive system disorders, and the level of health interest. We believe that this research outcome will contribute to assessing the level of awareness regarding reproductive health among female college students, thereby aiding in the development of online health information literacy education or related service programs by university libraries, health institutions, and similar entities targeting female college students.

The Effect of Metaverse Presence on Intention to Continuous Use Through User Motivation: Moderating Effect of Normative Interpersonal Influence (메타버스 실재감이 사용자의 이용 동기를 통해 지속적 이용의도에 미치는 영향: 규범적 대인 민감성의 조절 효과)

  • Hwang, Inho;Kim, Jin soo;Lee, IL Han
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.3
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    • pp.119-133
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    • 2022
  • The COVID-19 pandemic is rapidly changing the behavior of members of society. Typically, the strong contagious power of the virus minimizes interaction between people in the real world, and they keep interaction activities to a minimum through online activities. Recently, as people demand online activities that enhance a sense of reality, the metaverse, which strengthens the 3D technology-centered sense of presence capability, is being chosen by people. The purpose of this study is to suggest a strategic direction for the establishment of the metaverse business model of startups by presenting factors for users' use and gratification of the metaverse. In detail, this study proposes the motivation for using the metaverse by reflecting the uses and gratification theory, and suggests a method to strengthen the motivation for the metaverse by reflecting the presences provided by the metaverse plotform and individual characteristics (normtive interpersonal influence). We surveyed people over 20 years of age who experienced metaverse and obtained 314 samples. In addition, we conducted the main effect analysis using the structural equation model and the moderating effect analysis using Process 3.1. As a result of hypothesis testing, we confirmed that metaverse presence (telepresence, social presence) has a positive effect on intention to continuous use by increasing metaverse's use and satisfaction factors (information, enjoyment, social interactivity). In addition, we found that individuals' normative interpersonal influence moderated the positive relationship between uses and gratification factors(enjoyment and social interactivity) intention to continuous use. Our study suggests strategies for establishing a user-centered business model for companies related to the metaverse.

Vulnerability Assessment for Ocean to Climate Change Using Spatial Information Based on GIS (GIS 기반 공간정보를 이용한 해양부문의 기후변화 취약성 평가)

  • Park, Sun-Min;Lee, Woo-Kyun;Kwon, Tae-Hyub;Lee, Beo-Dul;Son, Yo-Whan;Cho, Yong-Sung
    • Spatial Information Research
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    • v.19 no.3
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    • pp.1-9
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    • 2011
  • The vulnerability of ocean should be assessed to establish the climate change adaptation policy in field of the ocean, which has big effect on human and natural system. In this study, the criteria for assessing vulnerability of ocean to climate change were employed in terms of sensitivity, adaptative capacity and exposure. And suitable indicators for the criteria were selected and spatial data set for the indicators was prepared. In the ocean sector, the data for indicators were divided into two types, such as the inland and ocean data. The inland data were extrapolated and integrated to the coordinate of ocean data for the vulnerability assessment to climate change. As a result, the spatially diverse distribution of vulnerability on the ocean could be derived from the integration of two types of data. The results showed that southwestern ocean is much more sensitive than west and east ocean. Also southwestern ocean of exposure ratio of change is higher than the other part of ocean. On the other hand the adaptative capacity found that the highest in east ocean. The vulnerability assessment result showed southwestern ocean is more vulnerable than the other part of ocean.

A Study on the Sensitive Factors Influencing Acha Accident Using Bayesian Network (Bayesian Network를이용한 아차사고에 영향을 주는 민감요인에 관한연구)

  • Kim, Sang-Hyun;Shin, Yeon-Cheol;Moon, You-Mi
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.162-163
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    • 2022
  • 기술발전에 따라 건설현장은 스마트 안전관리기술을 활용한 안전관리의 변화가 예고되고 있다. 중대재해처벌법 시행(22.1.27)이후 50인 이상 사망사고는87건(96명)으로 전년 동기109건(111명)대비22건(20.2%), 15명(13.5%)감소한 것으로 나타났다(국토교통부,2022). 반면에 단순비교지만 일본0.14%, 미국0.37%, 영국0.03%에 비해 한국의 재해율이 높으므로 다양한 안전관리활동의 과제가 남아 있다. 이에 아차사고 유형이 건설현장 특성간의 민감도모델 제시를 기반으로 근본적인 재해관리가 연구의 목적이다. 이를 이루기 위해 국토교통부의 아차사고 발굴데이터를 분석하여 유형을 분류하고, 공사기간, 공사규모, 신체부위 등의 요인간의 아차사고 민감성요인에 대하여 Bayesian Network를 이용하여 아차사고에 영향을 주는 모델링을 제시하고자 한다.

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A study on Korean collegians' health perception toward Eggs contaminated with pesticide: Will preventive behavioral intention be predicted by perceived susceptibility and severity, trust in government, evaluation of information from government, and subjective knowledge? (한국대학생의 살충제 오염 달걀에 대한 건강인식에 관한 연구: 지각한 민감성과 심각성, 정부에 대한 신뢰성, 정부 출처 정보에 대한 평가 및 주관적 지식이 예방행동의도를 예측하는가?)

  • Joo, Jihyuk
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.355-363
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    • 2018
  • Found pesticide-contaminated eggs in 2017, the situation became a hot issue in many countries in the world as well as Korea. In the context of the pesticide-contaminated egg, this study explored that preventive behavioral intention would be predicted by perceived susceptibility and severity from health belief model, trust in the government and evaluation of information from the government, and subjective knowledge. We found that preventive behavioral intention was explained by perceived severity (${\beta}=.262$, t=3.531, p<0.001), trust in the government (${\beta}=.25$, t=3.281, p<0.001), and evaluation of the information from the government (${\beta}=.226$, t=2.936, p<0.01) through stepwise multiple linear regression analysis. The findings imply the government would administer policy in terms of credibility, accuracy, and consistency for decreasing the public's sense of unease and panic when a similar incident occurs.

A Study on the Effectiveness of Pet Naming Types Using Celebrity Endorser (유명인을 이용한 제품 애칭화 유형에 따른 소비자 반응 연구)

  • Kim, Hyejin;Cho, Chang-Hoan
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.532-549
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    • 2017
  • This study identifies the pet-name using the celebrity's endorser and the pet-naming effect by the subject of creating brand identity. For this study, pet-naming types are made up of 3 types(non pet-named/pet-naming by company intention/pet-naming by customer's word of mouth). As the results of this study, pet-naming types affects the perceived value. The perceived value has a perfect mediating effect between pet-naming types and consumer response. Also, the level of informative interpersonal influence has significant interaction effect between pet-naming types and perceived value. The research, therefore, reaches several important conclusions. First, when the pet-naming types were consisted, customer's brand identity creating phenomenon was included. Second, pet-naming types affects the confirmed perceived value which is the customer's view. Third, susceptibility to interpersonal influence was differently identified with normative interpersonal influences and informative interpersonal influences. Furthermore, this study analyzes the market's behavior trends, and in extend the progression of pet-name marketing.

Resolving Line Distortions in Edge Strength Hough Transform (경계선 강도 허프 변환에서 직선 왜곡의 최소화 방안)

  • Heo, Gyeong-Yong;Choe, Se-Woon;Park, Choong-Shik;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.2
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    • pp.369-377
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    • 2008
  • Though the Hough transform(HT) is a well-known method for detecting analytical shape represented by a number of free parameters, the basic property of the HT, the one-to-many mapping from an image spare to a Hough space, causes the innate problem, the sensitivity to noise. This basic problem also deteriorates the quality of detected lines and makes the detected line deviated from the real one or generates some bogus, multiple lines where only one real line exists. The size of Hough space also affects the quality of detected lines. In this paper, we analyzed the line distortions in the traditional Hough transform and showed that the distortions are relieved in the edge strength Hough transform(ESHT), which is a modified HT. However the usage of expanded edge and edge strength in ESHT can cause some new line distortions which do not exist in the HT. These new ones can be solved by a proper setting of decreasing and broadening parameter values and the optimal values can be determined only by some pre-determined values. We also illustrated several examples to show the distortion-decreasing property of ESHT.