• Title/Summary/Keyword: 프로파일 유형

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Classifying Latent Profiles in Job Satisfaction of Youth Entrepreneurs (청년창업가의 일자리만족도에 대한 잠재프로파일분석)

  • Kim, Youngseo;Hong, Sehee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.1
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    • pp.37-53
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    • 2021
  • The purpose of this study is to analyze the types of latent profiles depending on the job satisfaction of youth entrepreneurs in South Korea and examine the influence of related variables. Latent profile analysis (LPA) was conducted using data from the 12th year of the Youth Panel Study. Results of the study revealed that there were five latent profiles based on job satisfaction among young entrepreneurs: lowest job satisfaction, mid-low job satisfaction, middle job satisfaction, mid-high job satisfaction, and highest job satisfaction. By applying multinomial logistic analysis, the influencing factors for each latent profiles have been derived. Gender, marital status, subjective health, self-esteem, entrepreneurial motivation, difficulty in start-up, person-job fit, intrinsic or extrinsic job values, business scale, income, work hour, education or training, and labor insurance were significant predictors of youth entrepreneurs' job satisfaction. Based on these results, the article discusses practical implications that can enhance the job satisfaction of young entrepreneurs.

An Activity-Based Analysis of Contextual Information of Activity Patterns and Profiles (활동기반 접근법에 의한 활동패턴의 맥락적 정보분석과 프로파일)

  • Jo, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.25 no.6
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    • pp.171-183
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    • 2007
  • Urban transport demand is derived from activity participation. A variety of individual daily activities based on the decisions on activity participation result in collective spatial behavior. The travel derived from the effort to overcome the spatially distributed locations of adjacent activities represents the detailed structural relationships among activities. An activity-based approach provides an important framework of analyzing contemporary urban daily life in the sense that it studies the interaction between individuals' daily decision making and social practice in time and space, on the one hand, and socio-spatial environment on the other. The current study identifies representative patterns of urban daily activity implementations and analyzes the correlation between representative patterns and individuals' characteristics and contextual characteristics. The study shows that urban daily activity patterns can be grouped in a limited number of representative patterns, which are systematically correlated with socio-spatial characteristics. The results provide related transportation policy implications.

Ensemble Model using Multiple Profiles for Analytical Classification of Threat Intelligence (보안 인텔리전트 유형 분류를 위한 다중 프로파일링 앙상블 모델)

  • Kim, Young Soo
    • The Journal of the Korea Contents Association
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    • v.17 no.3
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    • pp.231-237
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    • 2017
  • Threat intelligences collected from cyber incident sharing system and security events collected from Security Information & Event Management system are analyzed and coped with expanding malicious code rapidly with the advent of big data. Analytical classification of the threat intelligence in cyber incidents requires various features of cyber observable. Therefore it is necessary to improve classification accuracy of the similarity by using multi-profile which is classified as the same features of cyber observables. We propose a multi-profile ensemble model performed similarity analysis on cyber incident of threat intelligence based on both attack types and cyber observables that can enhance the accuracy of the classification. We see a potential improvement of the cyber incident analysis system, which enhance the accuracy of the classification. Implementation of our suggested technique in a computer network offers the ability to classify and detect similar cyber incident of those not detected by other mechanisms.

Latent Profile Analysis Method Application in the Job Satisfaction Types and Predictive Factors of Social Welfare Institution Workers (잠재프로파일 분석방법 적용을 통한 사회복지시설 종사자의 직무만족도 유형과 예측요인)

  • Hyoung-Ha Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.177-179
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    • 2023
  • 본 연구에서는 사회복지시설 종사사의 직무만족도 유형을 살펴보고 유형별 예측변인과의 영향관계를 검증하였다. 이러한 연구목적을 검증하기 위해 보건복지부의 '사회복지시설 실태조사'(2014년) 데이터에서 직무만족도 변인에 모두 응답한 11,660명을 최종 분석하였다. 잠재프로파일 분석결과, 사회복지사의 직무만족도 유형은 4집단으로 나타나 '최상 직무만족도집단', '중상 직무만족도집단', '중간 직무만족도집단', '최하 직무만족도집단'으로 명명하였다. 다항로지스틱 분석결과, CLASS4(최상 직무만족도집단)를 준거집단으로 하여 CLASS1(최하 직무만족도집단)과 비교해 노동강도대비 보수수준 평가, 타직종대비 보수수준 평가, 시설안전도, 인권보장도를 높게 인식할수록 CLASS4(최상 직무만족도집단)에 속할 확률이 높아지는 것으로 나타났다. 다만, 이직의사는 낮을수록 CLASS4(최상 직무만족도집단)에 속할 확률이 높아지는 것으로 나타났다. CLASS4를 준거집단으로 하여 CLASS2집단, CLASS3집단도 비교분석 하였다.

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키 복구 에이전트 시스템 보호프로파일에 관한 고찰

  • 이용호;이임영;김춘수;채수영;나학연
    • Review of KIISC
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    • v.13 no.2
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    • pp.106-116
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    • 2003
  • 국제공통평가기준(Common Criteria)은 현재 고려되고 있는 모든 정보보호시스템 유형을 포괄할 수 있는 보안 요구 사항의 집합체라 할 수 있다. 특정 형태의 정보보호시스템을 대상으로 하는 평가기준이 되기 위해서는 사용환경이나 보안목적에 적합한 보안 요구사항이 도출되어야 한다. 정보보호시스템을 사용하고자 하는 보안환경 및 보안목적을 정의하고, 이에 적합한 보안 요구사항을 국제공통평가기준에서 채택하여 제품별 평가기준으로 작성한 것이 보호프로파일(Protection Profile)이다. 보호프로파일은 미국의 국가안보국(NSA)과 국림표준기술원(NIST)에서 중점적으로 개발하고 있으며, 현재 다양한 제품에 대한 보호프로파일이 개발되고 있다. 본 고에서는 미국의 국가안보국에서 개발한 키 복구 에이전트 시스템 보호프로파일에 대하여 해당 TOE의 보안 환경과 보안 요구사항에 대하여 깊이있게 고찰하고자 한다.

Differences in Gender Equality Consciousness between Latent Profiles based on Organizational Culture Types Recognized by Corporate Workers (기업근로자가 인식한 조직문화 유형에 따른 양성평등의식의 차이)

  • Kim, Younga;Lee, Jaeeun
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.533-545
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    • 2021
  • This study aimed to examine the differences in gender equality consciousness between latent profiles based on corporate workers' organizational culture types. To achieve the study's purpose, descriptive statistics, correlation analysis, and latent profile analysis (LPA) were conducted using 253 Korean corporate workers' data. As a result of the analysis, the latent profiles of organizational culture recognized by corporate workers were classified into 5 profiles. We named each profile as high compete-low create culture, high compete-low collaborate culture, collaborate culture, high create culture, and high control culture based on each profile's organizational culture perception. The ANOVA test found statistically significant differences between the groups in the gender equality consciousness. This study is meaningful in that it reveals the relationship between the organization culture perception and the gender equality consciousness and suggested implications for the organizational-level intervention to improve the gender equality consciousness. It will provide basic data for your research.

Classifying Latent Profiles in Mobile Phone Usage of Elementary School Students and Verifying the Relationship with Mobile Phone Dependency (잠재프로파일분석을 통한 초등학생의 휴대전화 이용유형분류와 의존도의 관계 검증)

  • Jeong, Kyu-Hyoung;Lee, Min-Joo
    • Journal of the Korea Convergence Society
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    • v.10 no.8
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    • pp.283-289
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    • 2019
  • The purpose of this study was to classify the elementary school students to latent groups according to the type of mobile phone usage and to verify the relationship with mobile phone dependency. The latent profile analysis was conducted using the first grade panel data of the elementary school in the Korea Children 's Youth Panel in 2016. The results found 3 latent classes of mobile phone usage: family and friend concentration (Type1), family concentration low level (Type2) and essential (Type3). The results of multiple regression analysis for verifying the relationship between mobile phone use type and mobile phone dependency showed a significant effect. The Type 2 showed more dependency than the Type 1, and the Type 1 showed more dependency than the Type 3. These findings provided basis for the guideline of mobile phones use and for proper intervention to prevent mobile phone dependency for elementary school students.

Performance Evaluation of App Profile-based Sensor Registry System considering User Mobility and Sensor Density (사용자 이동성과 센서 밀집도를 고려한 앱 프로파일 기반 센서 레지스트리 시스템의 성능 평가)

  • Kim, Jong Hyun;Lee, Sukhoon;Jeong, Dongwon
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.4
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    • pp.87-97
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    • 2019
  • SRS was proposed for immediate processing of the meaning of sensor data on mobile devices independent from specific sensor networks and sensor type. However, each time new sensor data is received, sensor data inspection operations are performed repeatedly, and it cause resulting in low performance. App profile-based SRS has been proposed to resolve the problem. The app profile-based SRS has improved the SRS problem through the profile, but has been tested in a virtual simulation environment. After that the test was experimented in a real-time environment, but has not been tested with a variety of dynamic factors. Therefore, this paper experiment considering such as user mobility and sensor density in real-time environment. And this paper also evaluate performance of the App profile-based through analysis of the results of the experiment. As a result, app profile-based SRS is high influence by density and sensor type, and the number of sensor node is not influence.

Contents Recommendation Search System using Personalized Profile on Semantic Web (시맨틱 웹에서 개인화 프로파일을 이용한 콘텐츠 추천 검색 시스템)

  • Song, Chang-Woo;Kim, Jong-Hun;Chung, Kyung-Yong;Ryu, Joong-Kyung;Lee, Jung-Hyun
    • The Journal of the Korea Contents Association
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    • v.8 no.1
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    • pp.318-327
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    • 2008
  • With the advance of information technologies and the spread of Internet use, the volume of usable information is increasing explosively. A content recommendation system provides the services of filtering out information that users do not want and recommending useful information. Existing recommendation systems analyze the records and patterns of Web connection and information demanded by users through data mining techniques and provide contents from the service provider's viewpoint. Because it is hard to express information on the users' side such as users' preference and lifestyle, only limited services can be provided. The semantic Web technology can define meaningful relations among data so that information can be collected, processed and applied according to purpose for all objects including images and documents. The present study proposes a content recommendation search system that can update and reflect personalized profiles dynamically in semantic Web environment. A personalized profile is composed of Collector that contains the characteristics of the profile, Aggregator that collects profile data from various collectors, and Resolver that interprets profile collectors specific to profile characteristic. The personalized module helps the content recommendation server make regular synchronization with the personalized profile. Choosing music as a recommended content, we conduct an experience on whether the personalized profile delivers the content to the content recommendation server according to a service scenario and the server provides a recommendation list reflecting the user's preference and lifestyle.

Title Editor of Quiz Program for Enhanced Data Broadcasting (연동형 데이터 방송을 위한 퀴즈 자막 및 방송시간 편집기)

  • Jang Yun-Yong;Jang Hye-Yun;Lim Soon-Bum
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06b
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    • pp.70-72
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    • 2006
  • 디지털 TV 방송의 시작과 함께 온갖 종류의 정보를 쌍방향으로 전달할 수 있는 데이터 방송이 가능해졌다. 그 중 연동형 데이터 방송은 방송 프로그램을 전송하면서 그 프로그램과 관련된 데이터를 같이 제공하는 서비스이다. 본 논문에서는 TV 방송을 보면서 퀴즈 자막을 내보내고, 리모콘을 통해 즉각적인 정답확인이 가능한 데이터 방송 애플리케이션 Xlet을 개발하였다. 더불어 자막으로 내보내지는 퀴즈의 내용 및 유형 등을 제어하는 퀴즈 자막 편집기를 구현하였다. 프로그램 PD는 퀴즈 자막 편집기를 통해 퀴즈의 유형과 내용, 글자의 크기와 색상, 자막이 나가는 시간등을 선택하고. 제어된 내용을 파일에 저장할 수 있다. 실제 TV상의 에뮬레이터나 PC상의 에뮬레이터에서 데이터 방송 마스터 프로그램을 실행시키면 방송이 시작된다. 이 때 편집기를 통해 만들어진 파일의 내용을 읽어와 PD가 지정한 내용과 시간에 퀴즈를 내보내게 된다. 이것을 보는 시청자는 리모콘으로 답을 입력하고 그 에 대한 정답 여부를 확인할 수 있도록 한다.

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