• Title/Summary/Keyword: 프로파일 유형

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Classification of Student's School Violence During Middle School: Applying Multilevel Latent Profile Models to Test Individual and School Effects (다층 잠재프로파일 분석을 적용한 중학생의 학교폭력 집단 분류와 개인 및 학교요인 검증)

  • No, Unkyung;Lee, Eunsoo;Lee, Hyunjung;Hong, Sehee
    • Survey Research
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    • v.18 no.2
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    • pp.67-98
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    • 2017
  • The purposes of this study are to identify the latent classes of school violence depending on bullying and victimized experience by type and the influences of individual-level and school-level variables on determining these latent profiles. For these research goals, the present study utilized data from the Seoul Education Longitudinal Study(SELS) 5th wave, containing data from 2,195 middle school students who experienced school violences more than once. Multilevel latent profile models were applied to examine school violence among students. Our results indicated that there were four latent classes; high-level bullying and victimized group (1.7%), mainly bullying group(2.1%), mainly victimized group(3.7%), verbal bullying and victimized group(92.5%). Gender, resilience, self-control, peer relationship, parental relationship were significant determinants of the latent profiles at student level. Teacher-student relationships, school violence prevention, gender ratio of school were significant determinants of the latent profiles at school level. The present study contributed to extending theoretical discussions by classifying students into groups based on frequency and different forms of bullying and victimization. Moreover, this study examined determinants of student and school level simultaneously by dealing with multilevel data.

Exploring the Latent Classes in Students' Executive Function Difficulty by Mother and Teacher: Multivariate Analysis across School Adaption and Academic Performance (초등학생의 집행기능곤란에 대한 어머니와 담임교사 평정에 따른 잠재집단 탐색 및 학교적응, 학업수행 차이 검증)

  • Yeon, Eun Mo;Choi, Hyo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.38-47
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    • 2019
  • The purpose of this study was to identify latent classes in executive function difficulty of first graders depends on evaluations from their mother and teacher and to investigate how its related with their school adaption and academic performance in second grade. Based on the model of the latent profile analysis, the 8th and 9th wave data from Korean Children and Youth Panel Survey were analyzed. The results of this study were as following. First, results showed that there were three types of latent classes in the executive function difficulty depend on evaluations from their mother and teacher: 'low executive function,' 'students who were highly evaluated by mother,' and 'students who were highly evaluated by teacher.' Second, students' executive function difficulty had a direct effect on the students' school adaption and academic performance in their second year of school. Especially students who were evaluated as having the lowest executive function difficulty showed significant higher means than students who were evaluated higher by mother and teacher. This study emphasized the importance of multiple evaluation in students' executive function difficulty to provide an educational intervention.

Predicting Healthy Lifestyle Patterns in Older Community Dwelling Adults: A Latent Profile Analysis (잠재프로파일 분석을 활용한 한국 노인 라이프스타일 유형화와 영향요인 분석)

  • Park, Kang-Hyun;Yang, Min Ah;Won, Kyung-A;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.10 no.2
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    • pp.75-93
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    • 2021
  • Objective : The aim of this study was to identify subgroups of older adults with respect to their lifestyle patterns and examine the characteristics of each subgroup in order to provide a basic evidence for improving the health and quality of life. Methods : This cross-sectional study was conducted in South Korea. Community-dwelling older adults (n=184) above the age of 65 years were surveyed from April 2019 to May 2019. This study used latent profile analysis to examine the subgroups. Chi-squared (χ2) and multinomial logistic regression measures were then used to analyze individual characteristics and influencing factors. Results : The pattern of physical activity which is one of the lifestyle domains in elderly was categorized into three types: 'passive exercise type (31.1%)', 'low intensity exercise type (54.5%)', and 'balanced exercise type(14.5%)'. Activity participation was divided into three patterns: 'inactive type (12%)', 'self-management type (61%)', and 'balanced activity participation type (27%)'. In terms of nutrition, there were only two groups: 'overall malnutrition type (13.5%)' and 'balanced nutrition type (86.5%)'. Furthermore, as a result of the multinomial logistic regression analysis to understand the effects of lifestyle types on the health and quality of life of the elderly, it was confirmed that the health and quality of life were higher in those following an active and balanced lifestyle. In addition, gender, education level and residential area were analyzed as predictive factors. Conclusion : The health and quality of life of the elderly can be improved when they have balanced lifestyle. Therefore, an empirical and policy intervention strategy should be developed and implemented to enhance the health and quality of life of the elderly.

Energy-Efficient Mobility Management Schemes in HMIPv6 (HMIPv6환경에서 에너지 효율적인 이동성 관리 기법)

  • Yang Sun Ok;Kim SungSuk;Hwang Chong-Sun
    • Journal of KIISE:Information Networking
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    • v.32 no.5
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    • pp.615-624
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    • 2005
  • In Mobile IP, several types of messages - binding update, binding request and binding acknowledgement - are used to support user mobility. It is necessary to exchange those messages frequently for seamless mobility but it incurs both the increase of network overhead and poor usage of mobile node battery power Thus, we need a mechanism that the server detects users location and also copes with the problems effectively, which is our main concern in this paper Each user records all moving logs locally and periodically makes out profile based on them in HMIPv6. By using profile, estimated resident time can be computed whenever he enters an area and the time is set up as the binding update message lifetime. Of course, the more correct lifetime nay be obtained IP arrival time as well as average resident time Is considered in profile. Through extensive experiments, we measure the bandwidth usage for binding update messages by comparing the proposed schemes with that in HMIPv6. From the results, Gain gets over $80\%$ when mobile node stays more than 13 minutes in a subnet. Namely, we come to know that our schemes improve network usage and energy usage in mobile node by decreasing the number of messages while they also manage users locations like that in HMIPv6.

Anomaly Intrusion Detection based on Association Rule Mining in a Database System (데이터베이스 시스템에서 연관 규칙 탐사 기법을 이용한 비정상 행위 탐지)

  • Park, Jeong-Ho;Oh, Sang-Hyun;Lee, Won-Suk
    • The KIPS Transactions:PartC
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    • v.9C no.6
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    • pp.831-840
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    • 2002
  • Due to the advance of computer and communication technology, intrusions or crimes using a computer have been increased rapidly while tremendous information has been provided to users conveniently Specially, for the security of a database which stores important information such as the private information of a customer or the secret information of a company, several basic suity methods of a database management system itself or conventional misuse detection methods have been used. However, a problem caused by abusing the authority of an internal user such as the drain of secret information is more serious than the breakdown of a system by an external intruder. Therefore, in order to maintain the sorority of a database effectively, an anomaly defection technique is necessary. This paper proposes a method that generates the normal behavior profile of a user from the database log of the user based on an association mining method. For this purpose, the Information of a database log is structured by a semantically organized pattern tree. Consequently, an online transaction of a user is compared with the profile of the user, so that any anomaly can be effectively detected.

기계학습을 활용한 중소기업 맞춤형 지식서비스 진단 및 처방 기술 연구

  • Seo, Ju-Hwan;Jeon, Seung-Pyo;Yu, Hyeong-Seon;Hwang, Ji-Na;Kim, Sang-Guk
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.11a
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    • pp.305-305
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    • 2017
  • 많은 국가에서 중소기업의 기술혁신을 지원하기 위해서 다양한 직 간접적 지원 프로그램을 기획하고 운영한다. 이 연구는 R&D 투자 효율성을 제고하기 위한 간접 지원의 대표적인 사례 중에서 지식서비스, 특히 그중에서도 R&D 기획, 기술가치평가, 정보 지원 사업에 주목했다. 이 연구에서는 지식서비스의 일환으로 공공과 민간에서 다양하게 제공되고 있는 3가지 지원 사업을 대상으로 R&D 중소기업 중에서 수요 집단의 특징을 프로파일링 했다. 이런 프로파일링을 통해 기업의 해당 지식서비스 지원 적합성을 진단할 수 있는 계량적인 방법을 제안하고 나아가 이를 통한 처방 방법을 논의한다. 구체적인 연구 방법으로는 데이터 마이닝을 통한 분석 방법으로 수요 집단을 프로파일링 했으며, 전통적인 통계 방법인 판별분석 방법을 활용해서 구체적인 지식서비스 적합성 진단 모형을 제시했다. 본 연구에서는 특정 지식서비스 수요에 대한 중소기업의 특징을 프로파일링하기 위해서 설문정보를 활용했으며, 모형의 적정성을 검증하기 위해서 새로운 설문을 활용하는 등 총 6,600 기업에 대한 대규모 설문을 활용했다는데도 차별적 의의가 있다. 본 연구의 결과는 대규모 데이터를 바탕으로 한 중소기업에 대한 지식서비스 또는 R&D 진단과 처방 서비스를 제시해 중소기업과 정부 R&D 투자 효율성을 개선시키는데 기여할 것으로 기대된다.

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SNS Utilization Profiled as Per Six Continental Areas, Dance Genre, Types at Overseas Dance Arts Companies (해외무용예술단체의 6대륙 지역별, 무용장르별, 유형별, SNS 활용 프로파일)

  • Jeon, Soon-Hee;Yang, Yu-Na
    • The Journal of the Korea Contents Association
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    • v.14 no.8
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    • pp.74-83
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    • 2014
  • This study was conducted for the overall analysis for the interests, generally and uses of SNS (Social Network Service) of the overseas dance arts company. The subjects of this study were total 3,614 of countries, public, private and personal dance arts company in 100 countries on six continents. The selected 627 company which operate at least one SNS, and included them in this study. Then analyzed the SNS utilization six continental areas as per dance gener, types, and dance gener analyzed as per types. Also analyzed the SNS utilization six continental areas, dance gener as per types and obtained the following result First, It appeared that Ballet company of North America continent took advantage of SNS the most. Second, It appeared that Facebook, Twitter of North America was the most frequently used. Third, It appeared that Facebook wsa the most frequently used by traditional dance company. Fourth. Facebook, Twitter, Youtube were the most activity used by Ballet company of North America continent. In conclusion, this study recommends the policy alternatives related to the awareness of digital media, the establishment of the SNS marketing information system.

Relationships Among the Big Five Personality Traits, Psychological Well-being, and College Adaptation of Pre-service Teachers (교육대학교 학생의 성격 5요인에 기초한 잠재적 성격 특성 유형과 심리적 안녕감, 대학생활적응 간의 관계)

  • Lee, Myung-Sook;Choi, Hyo-Sik;Yeon, Eun-Mo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.71-81
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    • 2019
  • To extend the potential benefits of error, the current study examined factors that affect students' error perception in the classroom. An experimental design was used to measure relations of classroom goal structure, feedback, and social relationships on students' perception of error. A total of 316 fourth-, fifth-, and sixth-grade elementary students participated as part of their regular class curriculum. Self-reported questionnaires were administered to measure students' perception of errors and relationships with teacher and peers, and then students were manipulated by classroom goal structure and feedback. Multiple regression analysis results suggested that students' perception of learning from error was affected mostly by relationships with peers, followed by relationships with teacher and the type of feedback. Students' perception of risk taking for error was also affected by relationships with peers and teacher, followed by the classroom goal structure. However, classroom goal structure and feedback did not affect their perception of thinking about error to improve their learning as well as error strain. These results imply how the classroom climate should be structured to improve perception of errors to improve student's learning.

Development of Mission Language for Autonomous Underwater Vehicle (자율무인잠수정을 위한 임무 언어 개발)

  • Kim, Bang-Hyun;Lee, Fill-Youb;Sim, Hyung-Won;Jun, Bong-Huan;Lee, Pan-Mook
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06c
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    • pp.554-559
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    • 2010
  • 자율무인잠수정은 탐사 목적에 따라 다양한 임무를 수행해야 하며, 임무에 따라 자율무인잠수정 행동의 유형과 순서는 달라질 수 있다. 그러나 대부분의 자율무인잠수정은 한정된 임무에 대하여 프로그램 내부에 고정된 행동 유형으로 동작하며, 다른 유형의 임무를 수행해야 할 경우에는 프로그램을 수정해야 하는 문제점이 있다. 따라서 본 연구에서는 자율무인잠수정이 수행할 수 있는 다양한 임무를 명시할 수 있는 임무 언어를 개발하였다. 이 임무 언어는 명령어의 실행 순서를 제어할 수 있는 제어문과 자율무인잠수정의 행동을 지정하거나 자율무인잠수정의 상태를 입출력 할 수 있는 명령어, 그리고 변수 정의를 제공하기 때문에, 사용자가 자율무인잠수정의 임무를 자유롭게 표현하는 것이 가능하다. 임무 언어로 작성된 임무 파일은 전용 어셈블러에 의해 이진 형식의 실행이미지로 변환된 후에, 자율무인잠수정 내장 소프트웨어 내부의 가상기계 기억장치에 적재되어 실행된다. 실행이미지를 가상기계에서 해석하고 실행하는데 필요한 시스템의 자원을 최소화하기 위하여 임무 언어는 자율무인잠수정의 임무를 표현하기 위한 필수적인 부분만을 고려하여 설계되었으며, 문법은 ARM v5 어셈블리와 유사한 형태이다. 개발된 임무 언어는 한국해양연구원에서 개발한 이심이100 자율무인잠수정에 적용되었으며, 이후 개발할 6,000m급의 이심이6000 자율무인잠수정에도 사용될 예정이다.

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Security Credential Management & Pilot Policy of U.S. Government in Intelligent Transport Environment (지능형 교통 환경에서 미국정부의 보안인증관리 & Pilot 정책)

  • Hong, Jin-Keun
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.13-19
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    • 2019
  • This paper analyzed the SCMS and pilot policy, which is pursued by the U.S. government in connected vehicles. SCMS ensures authentication, integrity, privacy and interoperability. The SCMS Support Committee of U.S. government has established the National Unit SCMS and is responsible for system-wide control. Of course, it introduces security policy, procedures and training programs making. In this paper, the need for SCMS to be applied to C-ITS was discussed. The structure of the SCMS was analyzed and the U.S. government's filot policy for connected vehicles was discussed. The discussion of the need for SCMS highlighted the importance of the role and responsibilities of SCMS between vehicles and vehicles. The security certificate management system looked at the structure and analyzed the type of certificate used in the vehicle or road side unit (RSU). The functions and characteristics of the certificates were reviewed. In addition, the functions of basic safety messages were analyzed with consideration of the detection and warning functions of abnormal behavior in SCMS. Finally, the status of the pilot project for connected vehicles currently being pursued by the U.S. government was analyzed. In addition to the environment used for the test, the relevant messages were also discussed. We also looked at some of the issues that arise in the course of the pilot project.