• Title/Summary/Keyword: Agency support

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Relational-Structure Analysis of Ex-convicters's Childhood Abuse Trauma, Parent-Attachment and Self-Resilience (출소자의 아동기 학대 외상, 부모애착, 자아탄력성, 수감횟수간의 관계구조 분석)

  • Kim, Mi-Hyun;Lee, Dong-Hun;Kang, Su-Eun
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.233-247
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    • 2021
  • To verify the mediating effects of parent attachment and self-resilience between childhood abuse trauma among Ex-offenders, prsent study collected data from 510 Ex- offenders who are given the housing support from Korea Rehabilitation Agency. SPSS 21.0, M-plus 7 programs were used to analysis the collecting data. As a result, there were positive correlation between childhood trauma and recidivism, and there were negative correlation among the recidivism, parent attachment, and self-resilience. Indirect affect of parnet attachment was found between childhood trauma and recidivism. Also, indirect affect of self-resilience was found between childhood trauma and recidivism among the Ex-offender. The implication, and limitation of this study are discussed.

Development of Prediction Models for Fatal Accidents using Proactive Information in Construction Sites (건설현장의 공사사전정보를 활용한 사망재해 예측 모델 개발)

  • Choi, Seung Ju;Kim, Jin Hyun;Jung, Kihyo
    • Journal of the Korean Society of Safety
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    • v.36 no.3
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    • pp.31-39
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    • 2021
  • In Korea, more than half of work-related fatalities have occurred on construction sites. To reduce such occupational accidents, safety inspection by government agencies is essential in construction sites that present a high risk of serious accidents. To address this issue, this study developed risk prediction models of serious accidents in construction sites using five machine learning methods: support vector machine, random forest, XGBoost, LightGBM, and AutoML. To this end, 15 proactive information (e.g., number of stories and period of construction) that are usually available prior to construction were considered and two over-sampling techniques (SMOTE and ADASYN) were used to address the problem of class-imbalanced data. The results showed that all machine learning methods achieved 0.876~0.941 in the F1-score with the adoption of over-sampling techniques. LightGBM with ADASYN yielded the best prediction performance in both the F1-score (0.941) and the area under the ROC curve (0.941). The prediction models revealed four major features: number of stories, period of construction, excavation depth, and height. The prediction models developed in this study can be useful both for government agencies in prioritizing construction sites for safety inspection and for construction companies in establishing pre-construction preventive measures.

A Study on Factors that Influence the Mobile Social Participation of Disabled Elderly People - with the focus on a comparison with young adults with disabilities (고령장애인의 모바일 사회참여 영향요인 연구 - 청장년장애인과의 비교를 중심으로)

  • Roh, Seung-Hyun
    • Informatization Policy
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    • v.28 no.2
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    • pp.81-97
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    • 2021
  • This study examines the factors that influence the mobile social participation of elderly disabled people compared to that of young adults with disabilities. The analysis was conducted using Heckman's two-stage model. The first stage of the research focused on the populations who have mobile devices, while the second stage focused on factors that influence mobile social participation. The results of the study are as follows: for elderly people with disabilities, mobile social participation is associated with living alone, PC usage ability, mobile usage ability, internet usage ability, and attitude towards digital use. Based on the results of this research, this study presents a plan to support the mobile social participation of elderly people with disabilities.

Exploring The Career Attitude Prediction Model Of Multicultural Youth Using Decision Tree Analysis (다문화청소년의 진로태도 예측모형 탐색)

  • Oh, Jung-A;Lee, Young-Joo;Kim, Pyeong-Hwa
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.99-105
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    • 2021
  • This study investigates, 1) the predicting career attitudes of multicultural youth, 2) the aim was to provide evidence-based data on career and policy development. A survey for a total of 1,335 multicultural youth and data were analyzed by data-mining decision tree with SPSS 23.0. The main findings are as follows. First, female students showed satisfaction in life, self-esteem and support for mothers' career. Second, In boys, self-esteem was the most important. Based on these results, it contains suggestions for career development for multicultural youth.

The Effectiveness Validation of Psychosocial Risk Management Plans in an Organizational Working Environment Using Logistic Regression Analysis (로지스틱 회귀분석을 이용한 조직 근로환경에서의 심리사회적 위험관리 방안의 효과 검증)

  • Kim, Soo-Yun;Han, Seung-Jo;Lee, Dong-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.2
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    • pp.78-84
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    • 2021
  • In addition to physical risks such as electrical, chemical, and mechanic ones in the workplace, psychosocial risks are also raising as an important issue in recent years in connection with human rights and work-life balance policies. The purpose of this study is to confirm the degree of effect of the psychosocial risk management plan at the workplace on workers through logistic regression analysis. Input data for logistic regression analysis is the results of a survey of 4,558 people conducted by the Institute for Occupational Safety and Health were used. There are 9 independent variables, including the change a workplace and confidential counseling, and the dependent variable is whether the worker feels the effect on the psychosocial risk management plan. As a result of this study, changes in work organization, dispute resolution procedures, provision of education program, notification of the impact of psychosocial risks on safety and health, and the persons in charge of solving psychosocial problems are shown effective in reducing worker's psychosocial risks. This study drives which of the management plans implemented to reduce the psychosocial risk of workers in the workplace are effective, so it can contribute to the development of psychosocial risk management plans in the future.

An Assessment of the Knowledge, Attitude, and Practice Toward Standard Precautions Among Health Workers From a Hospital in Northern Cyprus

  • Abuduxike, Gulifeiya;Vaizoglu, Songul Acar;Asut, Ozen;Cali, Sanda
    • Safety and Health at Work
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    • v.12 no.1
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    • pp.66-73
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    • 2021
  • Background: The objective was to assess the knowledge level, attitude, and practice of health care workers towards standard precautions, and to identify the related factors. Furthermore, it was attempted to identify the proportion of having the experience of needle stick injuries (NSIs) and associated factors among participants. Methods: A cross-sectional study was conducted in a teaching hospital among 233 health workers using a self-administrated questionnaire. The questionnaire included eight knowledge items, seven practice items, and five attitude items. Based on the mean score of each category, responses were grouped into "satisfactory" and "unsatisfactory". Univariate, bivariate, and multivariable logistic regression analyses were done. Results: The mean age of the participants 32.95 (SD ± 9.70) and 62.2% of them were women. 57.5% of the staff had a satisfactory level of correct knowledge (>5 correct answers), 37.3% had a satisfactory positive attitude (>3 correct answers), and 30.9% had a satisfactory practice (>3 correct answers) towards standard precautions. The occupation was one of the predictors as doctors were less likely to have satisfactory knowledge and practice compared to nurses (OR = 0.269, 95% CI: 0.10-0.70 and OR = 0.248, 95% CI: 0.08-0.77, respectively). Out of 174 participants, 31.6% of them reported experiencing NSIs and support staff were 71% less likely to experience NSIs compared to nurses & paramedics. Conclusion: The findings revealed a substandard adherence of standard precautions among participants, which highlighted the necessity of the provision of a periodic, tailored training program based on the occupation and risk exposure.

Forced Mobilization of Women during the wartime general mobilization system and the task of Finding Facts (전시총동원체제기 여성의 강제동원과 사실 규명의 과제)

  • Kang, hyekyung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.336-342
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    • 2021
  • Japanese imperialism initiated the Sino-Japanese War in 1937 and promulgated the Total National Mobilization Act in 1938, establishing a wartime total mobilization system. In the beginning of the wartime general mobilization system, Japanese colonialism focused on women's labor force and mobilized women both domestically and abroad. Women were forcibly mobilized to the Labor Patriotism Unit and Jeongshindae(Korean Women Labor Corps). Women had to take the place of home work as well as the work of men who had already been mobilized, and at the same time faced a poor situation of being forced to mobilize for war. The mobilization of Jeongshindae took place in various forms, such as recruitment, voluntary support by government offices, propaganda through schools or groups, job fraud, coercion or threats. Jeongshindae which was a representative victim of the forced mobilization of women during the Japanese colonial period, was individually litigated and remains an unresolved problem. In order to uncover the reality of the forced mobilization of women during the wartime general mobilization system, continuous research and social education through related organizations are required.

Establishment of BIM-LCC Analysis System for Selecting Optimal Design Alternative using Open KBIMS Libraries (개방형 KBIMS 라이브러리를 활용한 최적설계대안 선정을 위한 BIM-LCC분석 시스템 구축)

  • Lee, Chun-Kyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.153-161
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    • 2020
  • Building information modeling (BIM) is a smart construction technique that is recognized as essential for current construction facility projects. The Public Procurement Service (a construction project-ordering agency) announced a plan to introduce BIM and has required changing the operation of projects by using BIM design information. LCC analysis is essential for items, quantity, and cost information of the construction, and it is expected that efficient work will be achieved by using BIM design information. In this study, a BIM-LCC analysis system was established for selecting optimal design alternatives by actively using open KBIMS libraries. The BIM-LCC analysis system consists of a single alternative and an optimal alternative LCC analysis, but it has a limitation in that only the architecture and machine libraries have been applied. However, by applying BIM, practical use and work efficiency can be expected. In order to use the method as an LCC analysis support tool with BIM design information in the future, it will be necessary to collect user opinions and improve the UI.

A Random Access based on Pilot-Assisted Opportunistic Transmission for Cellular IoT Networks (셀룰라 IoT 네트워크를 위한 파일럿 지원 기회적 전송 기반 임의 접속 기법)

  • Kim, Taehoon;Chae, Seong Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.10
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    • pp.1254-1260
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    • 2019
  • Recently, 5G cellular systems have been attracted great attention as a key enabler for Industry 4.0. In this paper, we propose a novel random access based on pilot-assisted opportunistic transmission to support internet-of-things (IoT) scenario in cellular networks. A key feature of our proposed scheme is to enable each of IoT devices to attempt opportunistic transmission of its data packet in Step 3 with randomly selected uplink pilot signal. Both the opportunistic transmission and the pilot randomization in Step 3 are effective to significantly mitigate the occurrence of packet collisions. We mathematically analyze our proposed scheme in terms of packet collision probability and uplink resource efficiency. Through simulations, we verify the validity of our analysis and evaluate the performance of our proposed scheme. Numerical results show that our proposed scheme outperforms other competitive schemes.

Literature Review of the Safety Studies among Nursing Students (간호대학생 대상 안전 관련 국내 연구 동향)

  • Lee, Seonhye
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.131-138
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    • 2022
  • This study was to investigate the characteristics of nursing students' safety by reviewing literature reported in Korea. Methods: A total of 29 articles were selected by the combination with 'safety', 'safety*', 'patient safety', 'patient safety*' 'nursing students', and 'nursing * students' from the database(via DBpia, KCI, KISS, NANET, NDSL, NL, RISS). Results: Publication year of researchs are '2015-2019' 69.0%, publication journal 'non-nursing' 79.3%, mean of participants 242.4 persons, 'under 200 persons' 51.7%, number of participating area 'one region' 48.2%, number of participating schools 'over three schools' 42.3%, participating grade 'senior in colleges' 56.2%. Participant were calculated by G*Power and unapproved by Institutional Review of Board(IRB) were 58.6%. Most of statistics measures were 'regression' 75.9%, and authors' number were '2 co-authors' 58.6%. In keyword analysis, it has changed from knowledge-oriented to patient-centered. Conclusion: Future research will require research and policy support for the development of an integrated educational approach and intervention plan to strengthen the safety competency of nursing students.