• Title/Summary/Keyword: SNS 이용

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A MapReduce-based kNN Join Query Processing Algorithm for Analyzing Large-scale Data (대용량 데이터 분석을 위한 맵리듀스 기반 kNN join 질의처리 알고리즘)

  • Lee, HyunJo;Kim, TaeHoon;Chang, JaeWoo
    • Journal of KIISE
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    • v.42 no.4
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    • pp.504-511
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    • 2015
  • Recently, the amount of data is rapidly increasing with the popularity of the SNS and the development of mobile technology. So, it has been actively studied for the effective data analysis schemes of the large amounts of data. One of the typical schemes is a Voronoi diagram based on kNN join algorithm (VkNN-join) using MapReduce. For two datasets R and S, VkNN-join can reduce the time of the join query processing involving big data because it selects the corresponding subset Sj for each Ri and processes the query with them. However, VkNN-join requires a high computational cost for constructing the Voronoi diagram. Moreover, the computational overhead of the VkNN-join is high because the number of the candidate cells increases as the value of the k increases. In order to solve these problems, we propose a MapReduce-based kNN-join query processing algorithm for analyzing the large amounts of data. Using the seed-based dynamic partitioning, our algorithm can reduce the overhead for constructing the index structure. Also, it can reduce the computational overhead to find the candidate partitions by selecting corresponding partitions with the average distance between two seeds. We show that our algorithm has better performance than the existing scheme in terms of the query processing time.

ANS responses in Negative Emotions Induced by Audio-visual Film Clips (시청각 동영상에 의해 유발된 부정적 감성에 따른 자율신경계 반응)

  • Lee, Young-Chang;Jang, Eun-Hye;Chung, Soon-Cheol;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
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    • v.10 no.3
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    • pp.471-480
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    • 2007
  • Negative emotions play an important function as to human's existence. In this research, we employed the audio-visual film clips to induce negative emotions and examined the classified responses in the autonomic nervous system(ANS) due to each negative emotion.30 adults(22.6 years $old{\pm}1.24$, 15 males and 15 females) took part in this experiment. Through the preliminary experiment, 2 minutes film's stimuli were selected as the emotion-induced stimuli. During the period when participants were viewing and listening to the selected movie, EDA and ECG were examined as soon as one stimulus was displayed, participants were tested by completing the psychological appraisals of their experienced emotion due to each emotional stimulus. With regard to the result of analyzing the psychological responses, each negative emotion appropriately and effectively induced its target emotion. While concerning the result of analyzing ANS responses, each negative emotion induced its respective activation in ANS. What is more, compared with other types of negative emotional stimuli, the scaring stimulus induced higher activation of the sympathetic nervour system(SNS) as to the indexes in EDh and ECG. This research made segmentation of ANS responses to each negative emotion, which has its significance.

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A Study to Promote the Export of Korean Hang Over Drinks in Russia (숙취해소음료의 러시아권 시장 수출활성화 방안)

  • Kim, Jihoon;Lim, Sungsoo
    • Journal of Convergence for Information Technology
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    • v.10 no.4
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    • pp.35-45
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    • 2020
  • To diversify the agro-food exports of Korea, this study selected Russia, which is located closet to CIS countries, as a sampling area and sought ways to promote the export of Korean hang over drinks to Russia. This study analyzed the contributing factors to the export, such as Russian consumers' purchasing intentions, as well as the willingness to pay of korean hang over drinks in Russia, using the paper review and on-off line survey data correction method. Major results are as follows. First, Russian consumers' intention of purchasing Korean hang over drinks is higher than Europe and the other products. Therefore, it is necessary to understand the demographic characteristics of Russian consumers and then actively use niche marketing strategies. Second, the purchase intention of Russian consumers towards increased when buying behavior occurred in supermarket, hypermarket- and convenience stores. Third, it seems prefer to pricing of Korean hang over drinks in Russian export market similar to the domestic price level.

Topic Sensitive_Social Relation Rank Algorithm for Efficient Social Search (효율적인 소셜 검색을 위한 토픽기반 소셜 관계 랭크 알고리즘)

  • Kim, Young-An;Park, Gun-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.5
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    • pp.385-393
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    • 2013
  • In the past decade, a paradigm shift from machine-centered to human-centered and from technology-driven to user-driven has been witnessed. Consequently, Social search is getting more social and Social Network Service (SNS) is a popular Web service to connect and/or find friends, and the tendency of users interests often affects his/her who have similar interests. If we can track users' preferences in certain boundaries in terms of Web search and/or knowledge sharing, we can find more relevant information for users. In this paper, we propose a novel Topic Sensitive_Social Relationship Rank (TS_SRR) algorithm. We propose enhanced Web searching idea by finding similar and credible users in a Social Network incorporating social information in Web search. The Social Relation Rank between users are Social Relation Value, that is, for a different topics, a different subset of the above attributes is used to measure the Social Relation Rank. We observe that a user has a certain common interest with his/her credible friends in a Social Network, then focus on the problem of identifying users who have similar interests and high credibility, and sharing their search experiences. Thus, the proposed algorithm can make social search improve one step forward.

Student-, School-, and ICT-Factors Predicting Computer-based Collaborative Problem Solving: Focusing on Analyses of Multi-level Models (컴퓨터 기반의 협력적 문제해결력 성취를 예측하는 학생과 학교 및 ICT 요인 : 다층모형 분석을 중심으로)

  • Lim, Hyo Jin;Lee, Soon Young
    • Journal of The Korean Association of Information Education
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    • v.22 no.4
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    • pp.457-471
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    • 2018
  • This study examined student- and school-level background and ICT factors that affected PISA 2015 Collaborative Problem Solving (CPS) for Korean students (4863 students from 142 high schools). A two-level hierarchical linear model (HLM) was analyzed from the basic model (model 1) with no predictors to the final model (model 5) with all predictors. Results showed that first, gender, socioeconomic/cultural backgrounds, cooperation level positively predicted CPS scores while perceived unfairness of teacher negatively predicted the outcome. Second, the more frequently ICT was used for out-of-school learning purposes, the less frequently ICT was used for entertainment purposes, and the less frequently ICT was used in schools, the higher CPS scores were. Considering ICT autonomy and social interaction variables measured for the first time in PISA 2015, students who were more interested in ICT and more autonomous in using ICT devices achieved higher CPS scores. On the other hand, the more students considered ICT important as social interaction, the less they gained CPS scores. Third, in terms of school-level characteristics, the smaller the students behavior detrimental to learning, the higher the teachers perceived positive working environment, and the fewer the number of computers available per student, the higher CPS scores were. To facilitate computer-based collaborative problem-solving competence, it is important for students to have interest and autonomy in using ICT. In addition, the guidelines of ICT use and SW curriculum need to be established in order to increase the effectiveness of using ICT device in school.

Healthcare Research for Premature Ejaculation and Erectile Function Using Questionnaire of Smartphone SNS (스마트 폰 SNS의 설문을 통한 조루증 및 발기능에 관한 헬스케어 연구)

  • Yoon, Jung-Dae;Heo, Sung-Jin;Na, Chang-Ho;Kim, Sung-Hyun;Moon, Jong-Hoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.6
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    • pp.1197-1210
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    • 2017
  • This study aimed to compare premature ejaculation and erectile function according to penile characteristics. 99 adult men responded to a questionnaire on penile characteristics, premature ejaculation and erectile function. In the questionnaire survey, 69 questionnaires were analyzed except missing or incomplete answers. All collected data were analyzed by independent t test, Chi-square test using SPSS 22. Glans > penis type showed significant differences in subjective premature ejaculation and objective premature ejaculation compared to Glans ${\frac{._-}{.}$ penis type (p <.05). Men with subjective premature ejaculation showed significant differences in objective premature ejaculation, treatment intent, and satisfaction compared to men without subjective premature ejaculation (p <.05). Presence of objective premature ejaculation, presence of treatment intent, and marital status were significantly different in satisfaction (p <.05). In economic status, high was significantly different in confidence for erectile function compared to middle or low (p <.05). The results of this study suggest that the premature ejaculation and erectile function according to the penile characteristic may be different and may be used as a basis for the development of an intervention program for sexual rehabilitation of men with premature ejaculation and erectile dysfunction.

A Study on the Factors Affect on Opticians' Customer Orientation (안경사의 고객지향성에 영향을 미치는 요인에 관한 연구)

  • Choi, Youngro;Park, Inn-Jee
    • The Korean Journal of Vision Science
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    • v.20 no.4
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    • pp.403-411
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    • 2018
  • Purpose : The purpose of this study is to analyze how the certain efforts of the optical shops affect on opticians' job satisfaction and organizational commitment, and to analyze how opticians' job satisfaction and organizational commitment affect on the customer orientation and to suggest the method of maintaining competitiveness. Methods : Two hundred opticians took participations on the surveys via the Internet survey method and social network system (SNS), and SPSS 18.0 statistics program was used for data analysis; frequency analysis, T-test, factor analysis, reliability analysis, and multiple linear regression analysis were conducted. Results : It is analyzed the differences on the job satisfaction and organizational commitment in accordance with type of optical shops, conducting 5 working days/week and flexible time. As a result, higher job satisfaction is presented with 5 working days/week. Relationships with co-workers statistically affect on job satisfaction positively and emotional labor and work overload statistically affect on job satisfaction negatively. In addition, relationships with co-workers and reward statistically affect on organizational commitment positively and emotional labor and work overload statistically affect on organizational commitment negatively. And opticians' job satisfaction and organizational commitment statistically affect on customer satisfaction positively. Conclusion : It is necessary for the optical shops to make an effort for their opticians to improve the job satisfaction and organizational commitment. And to do so, it is needed to form trusting and respecting relationships with co-workers or superiors. In addition, it is necessary to have continuous communication and education for opticians' self-management. Also, it is needed to establish an effective reward system.

A Study on Chatbot Profile Images Depending on the Purpose of Use (사용 목적에 따른 챗봇의 프로필 이미지 연구)

  • Kang, Minjeong
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.118-129
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    • 2018
  • In AI chatbot service via a messenger, a profile image of the chatbot is the first thing that users see to communicate with the chatbot. This profile image not only manages an impression about the profile owner in SNS on followers, but also makes an important impression about chatbot services on users. Thus motivated, this study investigates proper profile images tailored for the types of chatbot services and users. Specifically, I reviewed the preferred images and expressions of chatbots for each purpose of chatbot service. Then, in a case study, I collected and analyzed the representative chatbot profile images for the purpose of fun and counseling. The profile images are categorized as robot, human, animal, and abstract images. Based on these categories, I surveyed the preferred profile image of the chatbot service in either the text type or image type alternatives. For the purpose of fun, in the text version, I found that both men and women preferred a human image to others. However, in the image version, men preferred woman and robot images while women preferred cute animation character and robot images. For counseling services, both men and women preferred woman and animal images most, which is similar to the results of the text version of questionnaires as well. While both genders consistently preferred real photo images, women tend to like abstract images more than men do. I expect that the results of this study would be useful to develop the proper profile images of AI chatbot for each service purpose.

Prediction of Onion Purchase Using Structured and Unstructured Big Data (정형 및 비정형 빅데이터를 이용한 양파 소비 예측)

  • Rah, HyungChul;Oh, Eunhwa;Yoo, Do-il;Cho, Wan-Sup;Nasridinov, Aziz;Park, Sungho;Cho, Youngbeen;Yoo, Kwan-Hee
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.30-37
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    • 2018
  • The social media data and the broadcasting data related to onion as well as agri-food consumer panel data were collected and investigated if the amount of money spent to purchase onion in year 2014 when onion price plunged latest were correlated with the frequencies of onion-related keywords in the social media data and the broadcasting programs because onion price in year 2018 is expected to plunge due to overproduction and there has been needs to analyze impacts of social media and broadcasting program on onion purchase in the previous similar events, and identify potential factors that can promote onion consumption in advance. What we identified from our study include a) broadcasting news programs mentioning words "onion," were correlated with onion purchase with 3 - 6 weeks in advance; b) broadcasting entertainment programs mentioning words "onion and health," were correlated with onion purchase with 11 weeks in advance; c) blog mentioning words "onion and efficacy," were correlated with onion purchase with 5 weeks in advance. Our study provided a case on how social media and broadcasting programs could be analyzed for their effects on consumer purchase behavior using big data collection and analysis in the field of agriculture. We propose to use the findings from the study may be applied to promote onion consumption.

Big Data Analysis of Social Media on Gangwon-do Tourism (강원도 관광에 대한 소셜 미디어 빅데이터 분석)

  • JIN, TIANCHENG;Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.3
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    • pp.193-200
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    • 2021
  • Recently, posts and opinions on tourist attractions are actively shared on social media. These social big data provide meaningful information to identify objective images of tourist destinations recognized by consumers. Therefore, an in-depth understanding of the tourist image is possible by analyzing these big data on tourism. The study is to analyze destination images in Gangwon-do using big data from social media. It is wanted to understand destination images in Gangwon-do using semantic network analysis and then provided suggestions on how to enhance image to secure differentiated competitiveness as a destination for tourists. According to the frequency analysis results, as tourism in Gangwon-do, Sokcho, Gangneung, and Yangyang were mentioned at a high level in that order, and the purpose of travel was restaurant tour, gourmet food, family trip, vacation, and experience. In particular, it was found that they preferred day trips, weekends, and experiences. Four suggestions were made based on the results. First, it is necessary to develop various types of hotels, accommodation facilities and experience-oriented tour packages. Second, it is necessary to develop a day-to-day travel package that utilizes proximity to the Seoul metropolitan area. Third, it is necessary to promote traditional restaurants and local food. Finally, it is necessary to develop tourist package suitable for healing and family travel. Through this research, the destination image of Gangwon-do was identified and a tourism marketing strategy was presented to improve competitiveness. It also provided a theoretical basis for the use of the big data of tourism consumers in the field of tourism business.