• Title/Summary/Keyword: Policy Window

Search Result 133, Processing Time 0.023 seconds

The Effect of Career Identity on Career Preparation Behavior in College Students of Emergency Medical Technology (응급구조(학)과 대학생의 진로정체감이 진로준비행동에 미치는 영향)

  • Park, Daesung
    • Journal of Digital Convergence
    • /
    • v.15 no.12
    • /
    • pp.359-367
    • /
    • 2017
  • This study aims to identify the factors that have effects on career preparation behaviors in college students studying Emergency Medical Technology and provide basic data for career guidance, career counselling and development of employment guidance programs. The subjects of the study were 450 who were randomly selected and conveniently sampled from the Departments of Emergency Medical Technology located in J Province, G Province, B and G Metropolitan Cities. The survey lasted from August 7th, 2017 to 9th of the same month after agreement on the survey was obtained from the targets and they were interviewed with the use of an organized questionnaire. 420 copies of the data collected were analysed with the use of SPSS ver. 14.0 for Window. As a result, it was discovered that career identity had a statistically significant positive effect on career preparation behaviors. Therefore, to facilitate preparation behaviors, they should be taught to have career identity, be motivated and supported to do more active career preparation behaviors.

A Study on the Effects of Paramedic Students' Major Selection Motivation and Occupational Values on Employment Preparation Behavior (응급구조(학)과 대학생의 전공선택동기와 직업가치관이 취업준비행동에 미치는 영향에 관한 연구)

  • Park, Daesung;Kim, Yongseok
    • Journal of Digital Convergence
    • /
    • v.18 no.8
    • /
    • pp.263-270
    • /
    • 2020
  • This study was conducted to identify the effects of major selection motivation and occupational values on employment preparation behavior for paramedic students', and to provide basic data for improving employment preparation behavior based on the results. After receiving the consent to participate in the research from November 4 to 8, 2019, a self-written questionnaire was conducted for 3rd and 4 year university paramedic students' located in D Metropolitan City and J Province. Among the collected data, 341 parts, except for the 9 parts with insufficient response, were finally analyzed with SPSS ver. 12.0 (Window). Results, personal motivation of major selection motivation, intrinsic work values of occupational values, and extrinsic work values were influenced in order to employment preparation behavior.Therefore, it is considered that it is necessary to open a vocational value course in individual and group counseling and regular or non-regular curriculum considering the characteristics of gender and grade, major selection motivation, and occupational oalues.

Context cognition technology through integrated cyber security context analysis (통합 사이버 보안 상황분석을 통한 관제 상황인지 기술)

  • Nam, Seung-Soo;Seo, Chang-Ho;Lee, Joo-Young;Kim, Jong-Hyun;Kim, Ik-Kyun
    • Journal of Digital Convergence
    • /
    • v.13 no.1
    • /
    • pp.313-319
    • /
    • 2015
  • As the number of applications using the internet the rapidly increasing incidence of cyber attacks made on the internet has been increasing. In the equipment of L3 DDoS attack detection equipment in the world and incomplete detection of application layer based intelligent. Next-generation networks domestic product in high-performance wired and wireless network threat response techniques to meet the diverse requirements of the security solution is to close one performance is insufficient compared to the situation in terms of functionality foreign products, malicious code detection and signature generation research primarily related to has progressed malware detection and analysis of the research center operating in Window OS. In this paper, we describe the current status survey and analysis of the latest variety of new attack techniques and analytical skills with the latest cyber-attack analysis prejudice the security situation.

The Effect of Isolation, Depression, Resilience of Nursing Students on Career Identity (간호대학생의 고립감, 우울, 회복탄력성이 진로정체감에 미치는 영향)

  • Cho, Jung-Hee;Cho, Ok-Hee
    • Journal of Digital Convergence
    • /
    • v.19 no.9
    • /
    • pp.435-444
    • /
    • 2021
  • The purpose of this study is a descriptive research to understand the effects of isolation, depression, and resilience of nursing students on career identity. Data were collected on an online basis using a structured questionnaire from 136 nursing students at a university. The collected data were analyzed by t-test, ANOVA, Kruskal-Wallis test, Pearson's correlation coefficients and multiple linear regression analysis using SPSS Window 25.0 program. The influence factors on the career identity was confirmed by the resilience (β=0.32, p=.001) total explanatory power of the variables was found to be 20.5%. Therefore, based on the results of this study, it is necessary to strategy establish a positive career identity and develop an effective career identity promotion program by exerting individual resilience against to negative emotions such as isolation and depression.

Production of agricultural weather information by Deep Learning (심층신경망을 이용한 농업기상 정보 생산방법)

  • Yang, Miyeon;Yoon, Sanghoo
    • Journal of Digital Convergence
    • /
    • v.16 no.12
    • /
    • pp.293-299
    • /
    • 2018
  • The weather has a lot of influence on the cultivation of crops. Weather information on agricultural crop cultivation areas is indispensable for efficient cultivation and management of agricultural crops. Despite the high demand for agricultural weather, research on this is in short supply. In this research, we deal with the production method of agricultural weather in Jeollanam-do, which is the main production area of onions through GloSea5 and deep learning. A deep neural network model using the sliding window method was used and utilized to train daily weather prediction for predicting the agricultural weather. RMSE and MAE are used for evaluating the accuracy of the model. The accuracy improves as the learning period increases, so we compare the prediction performance according to the learning period and the prediction period. As a result of the analysis, although the learning period and the prediction period are similar, there was a limit to reflect the trend according to the seasonal change. a modified deep layer neural network model was presented, that applying the difference between the predicted value and the observed value to the next day predicted value.

A Study on the Relations Between Organizational Fairness and Organizational Effectiveness in Fire-Fighting Officers (소방공무원의 조직공정성과 조직효과성 간의 관련성 연구)

  • Kim, Gapseon;Park, Daesung;Lee, Manjin;Kim, YeRim
    • Journal of Digital Convergence
    • /
    • v.17 no.3
    • /
    • pp.271-280
    • /
    • 2019
  • This study aimed to examine the relations between organizational fairness and organizational effectiveness in fire-fighting organizations, and provide basic data for higher organizational effectiveness. The subjects of the study were fire-fighting officers under the Jeollanamdo Fire Service and were interviewed with the use of questionnaire from April 3 through 13, 2016. 433 copies of the responses were analysed with the use of SPSS ver. 18.0 for Window. The results are presented as follows: Distributive justice and interaction justice had a positive effect on job satisfaction, and procedure justice and distributive justice had a positive effect on organizational commitment. Distributive justice and interaction justice had a negative effect on turnover intention.

Analysis of the Efficiency of National SW R&D Projects Using DEA (DEA를 활용한 SW 국가연구개발사업 효율성 분석)

  • Ro, Seok-Hyun;Cho, Nam-Wook
    • The Journal of Society for e-Business Studies
    • /
    • v.26 no.2
    • /
    • pp.45-59
    • /
    • 2021
  • As software(SW) has been considered as a key driver of the fourth industrial revolution, significant R&D investment has been made by Korean government. Despite the attention and support by the government, systematic analysis on the SW R&D efficiency has not been fully addressed. In this study, the efficiency of SW national research and development projects was analyzed using Data Envelopment Analysis(DEA) techniques. Efficiency was measured from both static and dynamic perspectives based on 1,463 projects conducted by the National IT Industry Promotion Agency(NIPA) from 2008 to 2018. The static efficiency analysis identified the causes of inefficiency as scale and technology problems. As a result of dynamic efficiency analysis, we present a sector-specific response model using an efficiency-stability matrix. This study is meaningful in that efficiency analysis was conducted on the entire SW national R&D project, and static/dynamic efficiency analysis results are expected to be used as a guideline for planning SW national R&D project.

A Study on Injection Attacks and Defenses on Microsoft Windows (MS Windows에서 인젝션 공격 및 방어 기법 연구)

  • Seong, HoJun;Cho, ChangYeon;Lee, HoWoong;Cho, Seong-Je
    • Journal of Software Assessment and Valuation
    • /
    • v.16 no.2
    • /
    • pp.9-23
    • /
    • 2020
  • Microsoft's Windows system is widely used as an operating system for the desktops and enterprise servers of companies or organizations, and is a major target of cyber attacks. Microsoft provides various protection technologies and strives for defending the attacks through periodic security patches, however the threats such as DLL injection and process injection still exist. In this paper, we analyze 12 types of injection techniques in Microsoft Windows, and perform injection attack experiments on four application programs. Through the results of the experiments, we identify the risk of injection techniques, and verify the effectiveness of the mitigation technology for defending injection attacks provided by Microsoft. As a result of the experiments, we have found that the current applications are vulnerable to several injection techniques. Finally, we have presented the mitigation techniques for these injection attacks and analyzed their effectiveness.

Effects of Somatic Symptoms, Aging Anxiety and Social Support on Depression in Middle-aged Women (중년여성의 신체화 증상, 노화불안, 사회적 지지가 우울에 미치는 영향)

  • Lee, Nan-Young
    • Journal of Digital Convergence
    • /
    • v.20 no.5
    • /
    • pp.847-855
    • /
    • 2022
  • The purpose of this study is descriptive research to understand the effects of somatic symptoms, aging anxiety, and social support of middle-aged women on depression. Data collection was conducted from March 2020 to May 2020 using a structured questionnaire from a sample of 110 middle-aged women. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Kruskal-Wallis test, Pearson's correlation coefficients and multiple linear regression analysis using SPSS Window 25.0 program. As a result of the study, the influence factors on the depression were confirmed by the somatic symptoms(β=0.42, p<.001), aging anxiety(β=0.35, p<.001) and total explanatory power of the variables was found to be 48.0%. Therefore, based on the result of this study, it suggests that more research is needed a program that considers somatic symptoms and aging anxiety when developing interventions to reduce depression and to verify the effectiveness.

A Study on National Security Policy Platforms by South Korea's Ruling Parties During General and Presidential Elections (17대·18대 대선과 18대·19대·20대 총선에 나타난 새누리당의 외교안보통일 공약 분석 : 북핵, 남북관계 그리고 한미동맹 공약을 중심으로)

  • Choi, Jong Kun
    • Korean Journal of Legislative Studies
    • /
    • v.22 no.2
    • /
    • pp.53-75
    • /
    • 2016
  • This article presents a descriptive analysis on national security policy platforms promoted by the ruling parties of South Korea during general and presidential elections. National security platforms made during the elections campaigns are a window that allows us to see how the ruling party perceives the threat environment, opportunity-structures, policy preferences and material capabilities faced by the state. South Korea presents a unique case since it faces constant military threats from North Korea and interacts with China and the United States. Therefore, the national security policy platforms, which are explicitly campaigned during the general and presidential elections, showcases the worldview of the ruling party. The study essentially focuses on three areas of the platforms - its threat perception on North Korea, the ROK-US alliance and the future vision for the Korean peninsula by covering two presidential elections and three general elections for the last 20 years.