• 지식경영연구
• /
• 제18권4호
• /
• pp.261-286
• /
• 2017

Key factors enhancing transfer behavior of training and knowledge sharing are of great interest to researchers and executives because training transfer and knowledge sharing activities are remarkable predictors of organizational growth. This study investigates the core motivations for boosting transfer behavior of training and knowledge sharing. To empirically test the impacts of employee training, servant leadership and self-efficacy, a survey was conducted in small-medium sized companies. The data (N=292) were analyzed using structural equation modeling analysis. The results indicate that higher employee training positively leads to self-efficacy and transfer behavior of training. Servant leadership is positively leads to self-efficacy, transfer behavior of training, and knowledge sharing. Self-efficacy of employees induces greater transfer behavior of training and knowledge sharing. Finally, transfer behavior of training encourages workers to increase knowledge sharing. This study represents an initial step to examine the psychological mechanism of improving employees' transfer behavior of training and knowledge sharing activities based on the employee training qualities and servant leaderships.

• Asia Marketing Journal
• /
• 제19권3호
• /
• pp.75-98
• /
• 2017

Our study is trying to investigate the perceived training effectiveness by applying the theory of planned behavior (TPB) and Technological Acceptance Model (TAM) and intend to examine the effects of individual differences on perceived training effectiveness and performance of individuals. The main purpose is to evaluate the perceived training effectiveness, and role of individual differences in terms of learning. The results of this study supported all the hypothesis that participants with higher level of creative self-efficacy, intrinsic motivation, creativity and emotional intelligence (EI) will have greater inclinations to learn. Results showed that perceive training effectiveness is positively related to training transfer and training transfer increase the performance of individuals. Study results significantly agree with the theory of planned behavior (TPB) which was applied to measure the perceived training effectiveness and suggest trainee's perception of usefulness, ease and benefits enhance learning dimensions of participants that make any program effective. The study has highlighted a number of issues that influence the perceived training effectiveness.

• 한국간호교육학회지
• /
• 제22권4호
• /
• pp.537-548
• /
• 2016

Purpose: This study aims to develop a Korean version of a tool to measure uncivil behavior in clinical training to examine the experiences of nursing students. Methods: The "Uncivil Behavior in Clinical Nursing Education Scale" was developed by Anthony and Yastik in 2011. This study procedure was based on DeVellis' instrument development guidelines. Data were collected from 220 senior-year nursing students from four different universities in four different locations. Two hundreds surveys were analyzed using SPSS software and AMOS. Results: Out of 20 questions, 13 were selected after reviewing the content validity, face validity, construct validity, and reliability. The factors of the Korean version scale were specified as "exclusion", "contempt", and "refusal." The general characteristics of the subjects that showed significant differences in the occurrence of incivility were gender, age, transfer student status, level of satisfaction with clinical training, and level of satisfaction with the clinical training environment. Conclusion: The "Korean-Uncivil Behavior in Clinical Nursing Education Scale" was partially modified to account for differences in language and culture, but its validity and reliability were verified. We suggest that nurse educators and supervisors will be able to better understand the relationship between nurses and nursing students in clinical training.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권10호
• /
• pp.3668-3684
• /
• 2021

Video action recognition is widely used in video surveillance, behavior detection, human-computer interaction, medically assisted diagnosis and motion analysis. However, video action recognition can be disturbed by many factors, such as background, illumination and so on. Two-stream convolutional neural network uses the video spatial and temporal models to train separately, and performs fusion at the output end. The multi segment Two-Stream convolutional neural network model trains temporal and spatial information from the video to extract their feature and fuse them, then determine the category of video action. Google Xception model and the transfer learning is adopted in this paper, and the Xception model which trained on ImageNet is used as the initial weight. It greatly overcomes the problem of model underfitting caused by insufficient video behavior dataset, and it can effectively reduce the influence of various factors in the video. This way also greatly improves the accuracy and reduces the training time. What's more, to make up for the shortage of dataset, the kinetics400 dataset was used for pre-training, which greatly improved the accuracy of the model. In this applied research, through continuous efforts, the expected goal is basically achieved, and according to the study and research, the design of the original dual-flow model is improved.

• 한국컴퓨터정보학회논문지
• /
• 제28권3호
• /
• pp.75-82
• /
• 2023

본 연구는 대학생들이 디지털 도서관 검색 행태에 대한 메타인지를 분석하고, 보다 최적의 검색결과를 찾기 위한 사용자 중심의 온라인 정보검색시스템 설계를 위한 기초자료를 제공하는 것을 목적으로 한다. 본 연구의 목적을 달성하기 위하여 메타인지를 스키마-트레이닝(schema-training), 계획(planning), 모니터링(monitoring), 평가(evaluation), 전이(transfer)의 5가지 주요 범주로 분류하였으며, 총 20개의 하위 범주를 포함하였다. 총 112명의 학생들이 온라인 설문지에 참여했고, 수집된 데이터는 SPSS 버전 26을 이용하여 분석하였으며, 대학생들의 메타인지와 디지털 도서관 탐색 행위 간에 유의미한 상관관계가 발견되었다. 특히 디지털 도서관 탐색경험은 이용자 메타인지 측면을 고려한 디지털 도서관 설계에서 가장 중요한 요소로 밝혀졌다.

• Computers and Concrete
• /
• 제32권6호
• /
• pp.625-637
• /
• 2023

The application of ML approaches in determining the resisting capacity of fire damaged RC columns is introduced in this paper, on the basis of analysis data driven ML modeling. Considering the characteristics of the structural behavior of fire damaged RC columns, the representative five approaches of Kernel SVM, ANN, RF, XGB and LGBM are adopted and applied. Additional partial monotonic constraints are adopted in modelling, to ensure the monotone decrease of resisting capacity in RC column with fire exposure time. Furthermore, additional suggestions are also added to mitigate the heterogeneous composition of the training data. Since the use of ML approaches will significantly reduce the computation time in determining the resisting capacity of fire damaged RC columns, which requires many complex solution procedures from the heat transfer analysis to the rigorous nonlinear analyses and their repetition with time, the introduced ML approach can more effectively be used in large complex structures with many RC members. Because of the very small amount of experimental data, the training data are analytically determined from a heat transfer analysis and a subsequent nonlinear finite element (FE) analysis, and their accuracy was previously verified through a correlation study between the numerical results and experimental data. The results obtained from the application of ML approaches show that the resisting capacity of fire damaged RC columns can effectively be predicted by ML approaches.

• 한국멀티미디어학회논문지
• /
• 제23권12호
• /
• pp.1540-1551
• /
• 2020

Aiming at the problem that the existing human behavior recognition algorithm cannot fully utilize the multi-level spatio-temporal information of the network, a human behavior recognition algorithm based on a dense three-dimensional residual network is proposed. First, the proposed algorithm uses a dense block of three-dimensional residuals as the basic module of the network. The module extracts the hierarchical features of human behavior through densely connected convolutional layers; Secondly, the local feature aggregation adaptive method is used to learn the local dense features of human behavior; Then, the residual connection module is applied to promote the flow of feature information and reduced the difficulty of training; Finally, the multi-layer local feature extraction of the network is realized by cascading multiple three-dimensional residual dense blocks, and use the global feature aggregation adaptive method to learn the features of all network layers to realize human behavior recognition. A large number of experimental results on benchmark datasets KTH show that the recognition rate (top-l accuracy) of the proposed algorithm reaches 93.52%. Compared with the three-dimensional convolutional neural network (C3D) algorithm, it has improved by 3.93 percentage points. The proposed algorithm framework has good robustness and transfer learning ability, and can effectively handle a variety of video behavior recognition tasks.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.42.3-42
• /
• 2001

A human is an expert in manipulation. We have acquired skills to perform dexterous operations based upon knowledge and experience attained over a long period of time. It is important in robotics to understand these human skills, and utilize them to bring about better robot control and operation It is hoped that the neurocontroller can be trained and organized by simply presenting human teaching data, which implicate human intention, strategy and expertise. In designing a neurocontroller, we must determine the size of neurocontroller. Improper size may not only incur difficulties in training neural nets, e.g. no convergence, but also cause instability and erratic behavior in machines. Therefore, it is necessary to determine the proper size of neurocontroller for human control transfer. In this paper, a new pruning method is developed, based on the penalty-term methods. This method makes ...

• 산업진흥연구
• /
• 제7권2호
• /
• pp.51-58
• /
• 2022

본 연구는 프로이트의 정신분석에 기반을 두고 이를 적용한 정신분석상담을 실제를 다루고자 한다. 특히 상담과정과 상담기법에 대하여 연구하고자 한다. 연구결과는 다음과 같다. 상담과정은 내담자를 선정하고 상담상황을 구성하면, 다음과 같이 시작, 전이발달, 훈습, 전이해결의 4단계를 거친다. 시작단계에서는 내담자의 중요한 과거 역사에 대하여 청취한다. 전이발달 단계에서는 전이가 나타나는 시기부터이다. 훈습단계는 내담자가 통찰한 것을 실제 생활로 옮겨서 변화를 일으키는 단계이다. 전이해결 단계는 전이분석과 해석이 종결되는 시기다. 상담기법은 자유연상, 공감, 저항, 전이와 역전이, 해석 등이 있다. 자유연상(free association)은 정신분석적 치료의 핵심 기법이고, 분석적 틀을 유지하는 과정에서 중요한 역할을 한다. 공감은 치료자 자신을 내담자와 동일시하고 치료자의 공감적인 경험을 내담자에게 전달하는 능력은 그 자체로 변화의 핵심적인 기제이다. 저항이란 내담자가 상담에 협조하지 않는 모든 행위를 말한다. 전이와 역전이는 정신분석의 주요한 기법이다. 왜냐하면 정신분석자는 치료과정에서 내담자로 하여금 전이를 유도하고 전이를 해결하는 작업을 수행하기 때문이다. 해석이란 내담자의 사고나 감정, 행동의 이면에 감추어진 욕구나 의미, 동기 등을 파악해서 이런 것을 내담자가 깨닫도록 하기 위해 언어적으로 대응하는 기법을 말한다. 결론적으로 정신분석상담의 상담과정은 내담자를 선정하고 상담상황을 구성하여 효과적인 상담을 시행하고자 함을 말한다. 또한 상담기법에서 정신분석의 원리는 사례의 성질에 따라 다양하게 변하는 치료절차에 적용되며, 동일한 내담자를 치료하는 동안에도 가변적으로 적용될 수 있다.

• 한국치위생학회지
• /
• 제18권4호
• /
• pp.585-595
• /
• 2018

Objectives: The purposes of this study were to comprehend the subjective dental health status and the level of dental health knowledge in some middle school students and to analyze the correlation with dental health behaviors. Methods: A survey was conducted in some middle school students and the final 637 survey data were analysed. As the statistical analysis methods, the subjective dental health status, dental health knowledge and dental health behaviors according to the general characteristics were analyzed by independent t-test, one way ANOVA and Scheffe. The correlations among the subjective dental health status, dental health knowledge and dental health behavior were found by Pearson's correlation and multiple regression analysis. Results: Through correlation analysis of the subjective dental health status, dental health knowledge and dental health behavior, all showed a significant correlation. As a result of the factor analysis affecting dental behaviors, subjective dental health status was the highest (${\beta}=0.304$, p<0.001). Conclusions: The results of this study suggest that the improvement of subjective dental health status and dental health knowledge related to dental behaviors health in the middle school students should be considered. In addition, dental health education should focus on improving subjective dental health status through motivation rather than knowledge transfer training. Moreover, development programs appropriate for the middle school students whose behavioral changes are hard to obtain are needed.