• Title/Summary/Keyword: University Adaptability

Search Result 862, Processing Time 0.035 seconds

Research on Ontology-based Task Adaptability Improvement for Digital Human Model (온톨로지 기반 디지털 휴먼모델의 작업 적응성 제고 방안 연구)

  • Kang, Su-Ho;Sohn, My-E
    • Korean Journal of Computational Design and Engineering
    • /
    • v.17 no.2
    • /
    • pp.79-90
    • /
    • 2012
  • In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.

Distributed artificial capital market based planning in 3D multi-robot transportation

  • Akbarimajd, Adel;Simzan, Ghader
    • Advances in robotics research
    • /
    • v.1 no.2
    • /
    • pp.171-183
    • /
    • 2014
  • Distributed planning and decision making can be beneficial from the robustness, adaptability and fault tolerance in multi-robot systems. Distributed mechanisms have not been employed in three dimensional transportation systems namely aerial and underwater environments. This paper presents a distributed cooperation mechanism on multi robot transportation problem in three dimensional environments. The cooperation mechanism is based on artificial capital market, a newly introduced market based negotiation protocol. In the proposed mechanism contributing in transportation task is defined as asset. Each robot is considered as an investor who decides if he is going to invest on some assets. The decision is made based on environmental constraint including fuel limitation and distances those are modeled as capital and cost. Simulations show effectiveness of the algorithm in terms of robustness, speed and adaptability.

An Application of Ecological Family Welfare Model on Stress Coping Strategy and Psychological Wellbeing (생태학적 가정복지 모형의 적용으로 스트레스 대처전략과 심리적 복지 분석)

  • 전효정
    • The Korean Journal of Community Living Science
    • /
    • v.14 no.2
    • /
    • pp.107-117
    • /
    • 2003
  • The purpose of this study was to investigate university freshmen' stress coping strategy and psychological wellbeing to appling ecological family life welfare model. Based on Bronfenbrenner's ecological perspective, “ecological family welfare model”, which includes person(individual attributes), context(family backgrounds), process(mechanism of development), and time (the specific period), was suggested as a new research paradigm for family welfare life research. The questionnaire study was done for 171 freshmen of an university in Pusan. The results show the suggested research model was significant and effective to explain the mechanism of stress coping strategy and psychological wellbeing. Individual attributes(i. e., attachment style) and family context have an impact on family cohesion and adaptability which in turn affect stress coping strategies which then affect individual psychological wellbeing.

  • PDF

The Effects of College Life Adaptability on Career Preparation Behaviors of College Students: Mediating Effects of Major Satisfaction, Job Stress, and Self-Directed Learning

  • Il-Hyun, Yun
    • International Journal of Advanced Culture Technology
    • /
    • v.10 no.4
    • /
    • pp.245-254
    • /
    • 2022
  • This study is a study to empirically verify the mediating effect on college life adaptation and career preparation behavior of college students. The purpose of this study is to empirically analyze the multi-mediated effects of major satisfaction, job stress, and self-directed learning. For this study, 216 university students were enrolled. For the collected data, SPSS Process macro was used. The result is as follows. First, there were multiple parallel mediating effects and multiple serial mediating effects on major satisfaction, job stress, and self-directed learning between college life adaptability and career preparation behavior. Second, the path of simple mediation and double mediation effect was found between college life adaptation and career preparation behavior. Based on the research, the necessity of revitalizing the program for revitalization of teaching activities and industry-academic cooperation activities in the major field and improvement of career preparation behavior and university life adaptation ability and follow-up research were suggested.

The Smart City: Trends and Evolution, Readiness and Adaptability in Africa

  • Bashir Aliyu Yauri;Ekpobodo Raymond Ovwigho
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.4
    • /
    • pp.119-126
    • /
    • 2024
  • This paper reviewed and provides clarifications as to the meaning and concept of Smart Cities with particular reference to the Smart City Components. The paper also discusses Internet of Things and the Big Data in relation to the role they played in the development and evolution of smart cities. The paper further provides discussions on the 5G Wireless Networks and Industry 4.0 buttressing their significance in the smart cities concept. The paper as the name implies; discusses on the readiness and adaptability of this trending concept 'Smart City' in the African global space.

Structural analysis of the Social Support, Career Capability, Career Decision-making Self-Efficacy and Career Adaptability for the Reemployment Women (재취업여성이 지각한 사회적지지, 진로역량 진로결정자기효능감 및 진로적응성 간의 구조적 관계 분석)

  • Shin, Su-Jeong;Lee, In-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.19 no.8
    • /
    • pp.422-432
    • /
    • 2018
  • This study is designed to find out the causal relation between social support, career capability, career decision-making self-efficacy and career adaptability for the career interrupted women. For this purposes the scales of social support, career capability, career decision related self efficacy and career adaptability were used. For this study, the questionnaires were distributed from Mar. 2, 2018 to Apr. 6, 2018 to 960 to the career interrupted women who had the experience of getting training at the vocational school, beauty school and women's centers located in Seoul and Gyeonggi area (composed of married women in their 30s and 50s who were receiving the education of beauty care for more than 1-9 months). 920 questionnaires got responded from the women and they were used for the final analysis with Cronbach's ${\alpha}$, exploratory factor analysis, factor analysis, frequency analysis and correlation analysis performed with SPSS program and the structural equation performed with AMOS program. The findings from the analysis are as follows; First, it was found that the structural model between career capability, social support, career decision related self efficacy and career adaptability are proper. Second, the path coefficient of the structural model was found to be statistically significant with respect to all of career capability, social support, career decision related self efficacy and career adaptability. Third, it was found that in the relation between career capability, social support and career adaptability, the career decision related self efficacy has the mediating effect. These results show that if the level of career adaptability is to be enhanced for the caber interrupted women, the career decision related self efficacy can make the critical role in addition to the career capability and social support. So, this study tries to offer the basic data required for the preparation of career and the development of future career for the success of career interrupted women going back to the workplace.

Cognitive Virtual Network Embedding Algorithm Based on Weighted Relative Entropy

  • Su, Yuze;Meng, Xiangru;Zhao, Zhiyuan;Li, Zhentao
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.13 no.4
    • /
    • pp.1845-1865
    • /
    • 2019
  • Current Internet is designed by lots of service providers with different objects and policies which make the direct deployment of radically new architecture and protocols on Internet nearly impossible without reaching a consensus among almost all of them. Network virtualization is proposed to fend off this ossification of Internet architecture and add diversity to the future Internet. As an important part of network virtualization, virtual network embedding (VNE) problem has received more and more attention. In order to solve the problems of large embedding cost, low acceptance ratio (AR) and environmental adaptability in VNE algorithms, cognitive method is introduced to improve the adaptability to the changing environment and a cognitive virtual network embedding algorithm based on weighted relative entropy (WRE-CVNE) is proposed in this paper. At first, the weighted relative entropy (WRE) method is proposed to select the suitable substrate nodes and paths in VNE. In WRE method, the ranking indicators and their weighting coefficients are selected to calculate the node importance and path importance. It is the basic of the WRE-CVNE. In virtual node embedding stage, the WRE method and breadth first search (BFS) algorithm are both used, and the node proximity is introduced into substrate node ranking to achieve the joint topology awareness. Finally, in virtual link embedding stage, the CPU resource balance degree, bandwidth resource balance degree and path hop counts are taken into account. The path importance is calculated based on the WRE method and the suitable substrate path is selected to reduce the resource fragmentation. Simulation results show that the proposed algorithm can significantly improve AR and the long-term average revenue to cost ratio (LTAR/CR) by adjusting the weighting coefficients in VNE stage according to the network environment. We also analyze the impact of weighting coefficient on the performance of the WRE-CVNE. In addition, the adaptability of the WRE-CVNE is researched in three different scenarios and the effectiveness and efficiency of the WRE-CVNE are demonstrated.

Majoring in social work Majors satisfaction, Career adaptability, Career identity, Employability, Ego-resilience research on the effect of Careers Stress : Focusing on the latent mean analysis by Gender (사회복지 전공생의 전공만족도, 진로적응성, 진로정체감, 고용가능성, 자아탄력성이 취업스트레스에 미치는 영향에 관한 연구 : 성별에 따른 잠재평균분석)

  • Yun, Il-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.17 no.6
    • /
    • pp.308-314
    • /
    • 2016
  • The aim of this study was to identify the factors affecting the social welfare of students and the Career Stress. This study verified the complete model equation through the structure. The differences between the groups according to gender were significant. Majors Satisfaction, Career adaptability, Career Identity, Employability, ego-resilience, and Career Stress were used as variables. From the Gwangju Regional Social Welfare, 246 people were college students. The analysis was performed using Structural Equation Modeling with Latent mean analysis. The Male and Female's Majors Satisfaction, Career adaptability, Career Identity, Employability, ego-resilience, and Career Stress were similar. The impact on the path of ego-resilience and Career Stress was also similar. The Female group had a stronger impact than the ego-resilience and Career Stress Male. The Social Welfare of Students Majors Satisfaction, Career adaptability, Career Identity, Employability, ego-resilience Career Stress were different in the male and female groups.

Transfer of Marketing Knowledge within Multinational Corporations and Its Impact on Performance: Moderating Effects of Absorptive Capacity, Socialization, and Local Knowledge

  • Lee, Byung-Hee
    • Journal of Global Scholars of Marketing Science
    • /
    • v.18 no.4
    • /
    • pp.277-306
    • /
    • 2008
  • Knowledge1 is considered to be a key element of understanding how organizations gain and sustain competitive advantages. But very few firms are capable of creating the requisite knowledge and thus, firms should acquire and exploit new knowledge through knowledge transfer processes. The empirical part of this study involves examining relationships among adaptability of knowledge and knowledge transfer and marketing performance and testing the moderating roles of absorptive capacity, socialization and local marketing knowledge. This study is organized as follows: (1) Previous literature on knowledge, knowledge transfer and absorptive capacity is summarized, followed by the development of hypotheses derived from the knowledge-based view and absorptive capacity. (2) The hypotheses are tested with data collected from MNCs' subsidiaries performing marketing activities in Korea.Thestudyisclosedwithfindings,implications,andconclusions. Following six research hypotheses are drawn from literature review in related areas: H1: Adaptability of knowledge transferred from the MNCs' headquarters and other subsidiaries is positively associated with knowledge inflows into the receiving subsidiary. H2: The level of marketing knowledge transferred from the MNCs' headquarters and other subsidiaries is positively associated with marketing performance of the receiving subsidiary. H3: Increases in potential absorptive capacity will enhance the relationship between adaptability of knowledge and the level of marketing knowledge transfer. H4: Increases in realized absorptive capacity will enhance the relationship between the level of knowledge transfer and marketing performance of the receiving subsidiary. H5: Increases in socialization activity among the headquarters and subsidiaries will enhance the relationship between adaptability of knowledge and the level of marketing knowledge transfer. H6: Increases in the level of locally developed marketing knowledge will enhance the relationship between the level of knowledge transfer and marketing performance of the receiving subsidiary. The research framework that illustrates the proposed hypotheses is presented in figure 1. The unit of analysis for this study is knowledge transfer from the MNCs' headquarters and other subsidiaries to their subsidiaries operating in South Korea. The population for this study consists of subsidiaries established either as joint ventures or as wholly-owned subsidiaries. A group of 603 foreign firms were drawn from diverse industry organizations and business societies. After personal contact, telephone, fax, and e-mail to request that the respondents complete the questionnaire, 282 valid questionnaires from 133 initial sample companies were collected. The results of the empirical analyses significantly support all of the proposed hypotheses except hypothesis 3. Adaptability of external knowledge promotes knowledge transfer and the relationship is moderated by a firm's potential knowledge absorptive capacity. On the other hand, knowledge transfer improves a firm's marketing performance and a firm's realized knowledge absorptive capacity and local marketing knowledge moderate the relationship. The theoretical and practical implications of the findings in this study are as follows: (1) firms must take seeking, transferring, sharing and exploiting of external knowledge into serious consideration, while simultaneously creating knowledge to support the necessary business operations, remain competitive, and achieve superior performance. (2) Firms should continuously seek to develop their knowledge absorptive capacity (both potential and realized capacity) to absorb, learn and utilize valuable external knowledge. (3) Firms should emphasize not only absorptive capacity, but also development of local knowledge. Firms with strong absorptive capability and local knowledge can learn and transfer more external knowledge, which can be translated into greater levels of competence and performance.

  • PDF