• 제목/요약/키워드: Big 5

검색결과 2,688건 처리시간 0.025초

빅데이터 분석 기술(Hadoop/Hive) 기반 네트워크 정상행위 규정 방법 (A Normal Network Behavior Profiling Method Based on Big Data Analysis Techniques (Hadoop/Hive))

  • 김성진;김강석
    • 정보보호학회논문지
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    • 제27권5호
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    • pp.1117-1127
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    • 2017
  • 사물인터넷 시대의 도래로 인터넷에 연결된 다양한 기기들의 사용은 급성장 하였으나 사물인터넷 보안은 아직 취약한 상태이다. 사물인터넷은 목적에 따라 다양한 기기들이 사용되고 또한 저 전력 환경에서 동작할 수 있도록 각기 다른 프로토콜들을 사용하고 있으며, 많은 양의 트래픽을 발생시켜 기존 보안 기술들을 접목시키기 어렵다. 그러므로 본 논문에서는 이러한 문제점을 해결하기 위한 방안중의 하나로 Hadoop/Hive를 이용한 빅데이터 분석 기술 및 통계 분석 도구인 R을 활용하여 네트워크 정상행위 규정 방법을 제시하며 시뮬레이션을 통해 제안한 방법의 유효성을 검증한다.

유아기 자녀를 둔 아버지의 Big5성격유형에 따른 양육참여 및 양육스트레스 (Parental Participation and Parenting Stress According to the Big Five Personality Types of Fathers With Young Children)

  • 윤종승
    • 한국보육지원학회지
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    • 제18권6호
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    • pp.145-162
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    • 2022
  • Objective: The purpose of this study was to examine the differences in parental involvement and parenting stress according to the father's personality type. Methods: The subjects of this study were 302 fathers with children aged three to five living in Seoul, and a survey was conducted on their Big Five personality types, parental involvement, and parenting stress.The collected data were analyzed using K-means cluster analysis and covariance analysis. Results: In this study, fathers' personality types were classified into four types: 'sincerity, friendship, openness'(21.5%), 'neuroticism'(27.8%), 'sincerity'(29.4%), and 'low sincerity'(21.1%). These are the exact same Fathers in the 'sincere, friendly, open' group showed higher parental involvement and lower parental stress, while fathers in the 'neurotic' group showed lower parenting involvement and higher parenting stress. Conclusion/Implications: There was a difference in parental involvement and parenting stress according to the father's personality type.Based on these results, it is expected that the understanding of the father's personality will be come clearer and the foundation for constructing a program related to parenting which considers personality types will be established.

빅데이터를 이용한 비건 패션 쟁점의 분석 -한국, 중국, 미국을 중심으로- (Perception and Trend Differences between Korea, China, and the US on Vegan Fashion -Using Big Data Analytics-)

  • 정지운;윤소정
    • 한국의류학회지
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    • 제47권5호
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    • pp.804-821
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    • 2023
  • This study examines current trends and perceptions of veganism and vegan fashion in Korea, China, and the United States. Using big data tools Textom and Ucinet, we conducted cluster analysis between keywords. Further, frequency analysis using keyword extraction and CONCOR analysis obtained the following results. First, the nations' perceptions of veganism and vegan fashion differ significantly. Korea and the United States generally share a similar understanding of vegan fashion. Second, the industrial structures, such as products and businesses, impacted how Korea perceived veganism. Third, owing to its ongoing sociopolitical tensions, the United States views veganism as an ethical consumption method that ties into activism. In contrast, China views veganism as a healthy diet rather than a lifestyle and associates it with Buddhist vegetarianism. This perception is because of their religious history and culinary culture. Fundamentally, this study is meaningful for using big data to extract keywords related to vegan fashion in Korea, China, and the United States. This study deepens our understanding of vegan fashion by comparing perceptions across nations.

A Design of Application through Physical Therapy Big Data Analytics

  • Choi, Woo-Hyeok;Huh, Jun-Ho
    • Journal of Multimedia Information System
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    • 제5권3호
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    • pp.171-178
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    • 2018
  • According to the National Health Insurance Corporation in 2008, there were 17,764,428 physical therapy patients, exceeding 31 percent for the population covered by health insurance. This means that three out of 10 Koreans received physical therapy. And now, 10 years later, due to the aging population and the increase in the sports population, the number of patients with physical therapy is expected to be much more than a decade ago. Among them, many physical therapy patients were orthopedic and neurologic disorder. However, in the medical field applied to physical therapy, it is widely applied across all medical fields, including orthopedics, neurosurgery, pediatrics, gynecology, thoracic surgery and dentistry. It is believed that various cases of patients receiving physical therapy will be secured. as mentioned earlier, there will be a large number of patients with physical therapy treatments, making big data analytics easier. based on this, physical therapy applications are thought to be helpful in the analogy of disease and the development of effective physical therapy and will ultimately promote the development of physical therapy.

Knowledge Extractions, Visualizations, and Inference from the big Data in Healthcare and Medical

  • Kim, Jin Sung
    • 한국지능시스템학회논문지
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    • 제23권5호
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    • pp.400-405
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    • 2013
  • The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based on Data Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS, and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extracts logical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refines and manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using the DT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, in Inference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

개갑처리재료, 생장조절제 및 살충제가 고려인삼종자의 개갑에 미치는 영향 (The Effects of Various Dehiscence Materials, Growth Regulators and Fungicides on the of Ginseng Seed ( Panax ginseng C A. Meyer ))

  • 양덕조;천성기
    • Journal of Ginseng Research
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    • 제6권1호
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    • pp.56-66
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    • 1982
  • The effects of various dehiscent application such as dehiscent materials (big chaffs, vermiculite etc.), growth regulators and agricultural chemicals (plant protector.) on stimulation of dehiscence and shortening of dehiscent period were investigated Results obtained were as follows : 1. The moisture content of endosperm and seed coat at 10 day after dehiscent application amounts between 40% and 50%. 2. Endosperm diameter was increased with time of stratification, and the embryo growth showed in linear function, 3. Non-dehiscent seed showed also normally development of embryo, and the property of dehiscence dependent from physico-chemical nature of ginseng seed coat. 4. The best dehiscent materials were big chaffs and followed vermiculite, sand and sand with big chaffs. 5. The effect of dehiscence of ginseng seed showed higher activity in fungi than in bacteria in general. 6. Agricultural chemicals ( plant Protector) reduced the dehiscent rate of ginseng seed 7. The best timing of dehiscent treatment was between August 1 and August 10 but the smaller amount of dehiscent rate after August 10 dehiscent appllication indicated that big chaffs and growth regulator treatment may be controlled shortening of dehiscent period of ginseng seed.

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Forecasting Housing Demand with Big Data

  • Kim, Han Been;Kim, Seong Do;Song, Su Jin;Shin, Do Hyoung
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.44-48
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    • 2015
  • Housing price is a key indicator of housing demand. Actual Transaction Price Index of Apartment (ATPIA) released by Korea Appraisal Board is useful to understand the current level of housing price, but it does not forecast future prices. Big data such as the frequency of internet search queries is more accessible and faster than ever. Forecasting future housing demand through big data will be very helpful in housing market. The objective of this study is to develop a forecasting model of ATPIA as a part of forecasting housing demand. For forecasting, a concept of time shift was applied in the model. As a result, the forecasting model with the time shift of 5 months shows the highest coefficient of determination, thus selected as the optimal model. The mean error rate is 2.95% which is a quite promising result.

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ICT 생태계 변화에 따른 국내 이동통신 사업자의 대응 전략에 대한 연구 (Evolution of ICT Ecosystem and Mobile Telcos' Counterstrategies)

  • 김동주;강민철
    • 정보화연구
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    • 제10권2호
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    • pp.197-209
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    • 2013
  • 본 연구에서는 국내 이동통신 사업자가 직면하고 있는 ICT 생태계의 한계와 소비자 및 스마트폰의 본질에 대한 분석을 실시하였다. 분석 결과에 따르면, 5G 통신, 퍼베이시브 컴퓨팅, 증강현실, 빅데이터 등의 유망 기술이 향후 ICT 생태계에 중요한 영향을 미칠 것으로 보인다. 본 연구에서는 이러한 분석을 통해 국내 이동통신 사업자의 대응 전략을 빅데이터 전략, 사물의 통신 주체 일원화 대비전략, 새로운 서비스 플랫폼 개발 전략, 토탈 라이프케어 서비스 제공자 전략 등 4가지로 제시하고 있다.

어머니의 5요인 성격특성과 놀이성이 양육행동에 미치는 영향 (The Effects of a Mother's Big Five Personality Factors and Playfulness on Maternal Parenting Behavior)

  • 한지현;이진숙
    • 아동학회지
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    • 제36권5호
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    • pp.173-188
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    • 2015
  • The main purpose of this study was to investigate the effects of a mother's big five personality factors and playfulness on maternal parenting behavior. The participants consisted of 270 mothers with young children, aged 3-6 years old. The subjects completed questionnaires on IPIP(International Personality Item Pool), PAS(Playfulness Scale for Adults) and Parenting Behavior. The results were as follows. First, regarding the relationships of the mother'personality and parenting behavior, higher levels of neuroticism(N) in the mothers resulted in lower levels of warmth acceptance(W A) in parenting behavior. Higher levels of extroversion(E), openness(O), agreeableness(A), and conscientiousness(C) resulted in higher levels of W A. In terms of the relationships of the mother's playfulness and parenting behavior, higher levels of playfulness resulted in higher levels of W A. and lower levels of permissiveness nonintervention(P N) and rejection restriction(R R). Second, N, E, C, and a maternal sense of humor had an effect in W A. C was found to have an effect in P N and N was observed to have an effect in R R.

자연환경에 대한 주민의 평가와 평가 요인에 관한 연구 (A Study of Resident's Evaluation on Natural Environment and the Evaluation Factors)

  • 이동근
    • 환경영향평가
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    • 제6권1호
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    • pp.67-76
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    • 1997
  • The purpose of this research is to draw out the factors affecting the residents' evaluation on valuable animal and vegetation and the naturality of vegetation seen near regional environment. With this purpose, Questionnaire research and vegetation survey focusing on area of types of vegetation and species of big trees were made in 30 points of midstream of Tama River, Tokyo, Japan. The questionnaire research was based on basin environment units in order to be reflective of regional natural environment. The vegetation was classified into 5 types according to its flora and observed the covering area of each points and types through the aerial photograph. In addition, the species of big trees in habitat were listed by the survey. Results as below came out by analyzing the outcome of the questionnaire research and vegetation survey by multiple regression. First, residents are most likely not to distinguish precisely between the quantitative and qualitative aspects of vegetation. Both of the researches are apt to be influenced by quantitative factors of vegetation. Second, residents are assumed to consider forest of big trees, inhabitant of groups of big trees, highly natural.

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