• Journal of Korean Library and Information Science Society
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• v.53 no.2
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• pp.43-71
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• 2022

In this study, the vision and goal of librarian education and training were designed by reflecting the changes in the internal and external environment of the library and the human resource development (HRD) trend in order to prepare a mid- to long-term development plan for librarian education and training. To design the vision and goal of librarian education and training, redefining the necessity, goals, mission, and role of librarian education and training, and seeking strategies to realize the vision and goal of librarian education and training. Core competency and national competency standards (A detailed implementation plan was prepared for the development of NCS) - based educational operation guidelines. First, when analyzing domestic and foreign prior research and literature, the future librarian is a person with competencies that includes first, creative convergence, second, communication and cooperation, third, leading professional, and fourth, empathic and inclusive talent. It was identified that education and training should be established based on The curriculum according to the library's future talents and core competencies should be presented in the following process model, and the librarian competencies for each type of creative convergence type, communication cooperation type, leading professional type, and empathy and inclusive type should be derived, and It was identified that the education direction should be set in the direction of designing a curriculum for job competency improvement by setting the job competency according to the requirements.

• Human Ecology Research
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• v.55 no.5
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• pp.555-566
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• 2017

This study analyzes the practical tasks and required competency for technical designers to provide basic data on the training of domestic technical designers. The survey was applied to 21 technical designers of big vendors as well as investigated tasks, task flow, important tasks, time-consuming tasks, and required competencies. The results of the study are as follows. First, the technical designers were in charge of several brands of buyers and distributors of fashion companies, or several lines of the same brand. The main production items were cut and sewn knits. Second, the flow of task and tasks were in the order of buyer comments analysis, sloper decision to matching style, sewing specification, productive sewing method research, size specification suggestion, pattern correction comments, construction decision to matching style & fabric, sample evaluations, fit approval, business e-mail writing, specification & grading confirmation, and communication with buyer. Third, five tasks (analysis of buyer comments analysis, communication with buyer, pattern correction comments, productive sewing methods research, sample evaluation) were important and time-consuming tasks. Fourth, reeducation was required in order of sewing, pattern, English, fabric, and fitting. Fifth, competencies to be a technical designers were fitting, pattern correction, size specification & grading, construction & sewing specification, sewing terms & techniques, and communication skills. In conclusion, technical designer training should focus on technology-based instruction, such as sample evaluation, fitting, pattern correction, and productive sewing methods research of cut and sewn knits.

• ETRI Journal
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• v.34 no.4
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• pp.511-517
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• 2012

The best linear unbiased estimator (BLUE) is most suitable for practical application and can be determined with knowledge of only the first and second moments of the probability density function. Although the BLUE is an existing algorithm, it is still largely unexplored and has not yet been applied to channel estimation in amplify and forward (AF)-based wireless relay networks (WRNs). In this paper, a BLUE-based algorithm is proposed to estimate the overall channel impulse response between the source and destination of AF strategy-based WRNs. Theoretical mean square error (MSE) performance for the BLUE is derived to show the accuracy of the proposed channel estimation algorithm. In addition, the Cram$\acute{e}$r-Rao lower bound (CRLB) is derived to validate the MSE performance. The proposed BLUE channel estimation algorithm approaches the CRLB as the length of the training sequence and number of relays increases. Further, the BLUE performs better than the linear minimum MSE estimator due to the minimum variance characteristic exhibited by the BLUE, which happens to be a function of signal-to-noise ratio.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3589-3605
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• 2018

In this paper, we investigate an individual channel estimation problem for multiple-input multiple-output (MIMO) two-way amplify-and-forward (AF) relay networks. To avoid self-interference during the estimation of the individual MIMO channels, a novel blind interference cancellation (BIC) approach is proposed based on an orthogonal preceding framework, where a pair of orthogonal precoding matrices is utilized at the source nodes. By designing an optimal decoding scheme, we propose to decompose the bidirectional transmission into a pair of unidirectional transmissions. Unlike most existing approaches, we make the practical assumption that the nonreciprocal MIMO channel and the mutual interference of multiple antennas are both taken into consideration. Under the precoding framework, we employ an orthogonal superimposed training strategy to obtain the individual MIMO channels. However, the AF strategy causes the noise at the terminal to be the sum of the local noise and the relay-propagated noise. To remove the relay-propagated noise during the estimation of the second-hop channel, a partial noise-nulling method is designed. We also derive a closed-form expression for the total mean square error (MSE) of the MIMO channel from which we compute the optimal power allocation. The simulation results demonstrate that the analytical and simulated curves match fully.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.2
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• pp.231-241
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• 2007

Purpose: The purpose of this study was to identify the effects of nurse's internal marketing on job satisfaction, turnover intention, and customer orientation. Method: The subjects were 559 nurses were working in 3 general hospitals. The data were collected from October 20 to November 15, 2006. For data analysis, descriptive statistics, Pearson correlation coefficient, stepwise multiple regression were used. Results: The mean score of the total internal marketing was 2.68, communication 3.03, vacation and suspension from office 2.64, education and training 2.60, reward system 2.56, work environment 2.53, and employment benefits 2.38, total job satisfaction was 2.96, turnover intention was 3.10, and customer orientation was 3.76. 'Internal marketing', and total subcategories of internal marketing were positively related to job satisfaction. 'Internal marketing', and total subcategories of internal marketing were negatively related to turnover intention. 'Internal marketing', 'communication', 'vacation and suspension from office', 'education and training', and 'work environment' were positively related to customer orientation. Conclusion: Through this results, to increase job satisfaction and customer orientation and to decrease turnover intention, it is necessary to concentrate on improving internal communication and reward system in the internal marketing strategy.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.6-11
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• 2020

In today's world, the design industry is becoming more complex, with the development of networks such as the internet and revolutionary changes in information and telecommunications. As the demand for designers to cope with various situations occurring in these industrial sites or solve problems in practice promptly is required, a capstone design program was developed in collaboration with the industry. Capstone design classes have positive effects on creative problem solving ability, academic achievement and learning satisfaction by allowing students to think and experience the practical problems of the industrial field. It is also effective in improving communication, creative thinking and critical thinking. The purpose of this study is to search for talent training methods needed in the fashion industry and to develop effective programs through capstone design class studies conducted in the fourth grade of fashion design majors from 2017 to 2019 (6 semesters). Through these studies, the aim is to search for talent training methods needed in the fashion industry and to develop effective programs. If the capstone design learning method is used as a method of solving problems through close communication between the company and the educational field as an industry-academia cooperation system, it is expected to be positioned as a field-type human resource education method that is required in the industrial field.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1259-1268
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• 2023

This study proposes a throttle and steering control technology using visual sensors based on deep learning's convolutional and recurrent neural networks. It collects camera image and control value data while driving a training track in clockwise and counterclockwise directions, and generates a model to predict throttle and steering through data sampling and preprocessing for efficient learning. Afterward, the model was validated on a test track in a different environment that was not used for training to find the optimal model and compare it with a CNN (Convolutional Neural Network). As a result, we found that the proposed deep learning model has excellent performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1462-1477
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• 2024

With the evolving complexity of connected vehicle features, the volume and diversity of data generated during driving continue to escalate. Enabling data sharing among interconnected vehicles holds promise for improving users' driving experiences and alleviating traffic congestion. Yet, the unintentional disclosure of users' private information through data sharing poses a risk, potentially compromising the interests of vehicle users and, in certain cases, endangering driving safety. Federated learning (FL) is a newly emerged distributed machine learning paradigm, which is expected to play a prominent role for privacy-preserving learning in autonomous vehicles. While FL holds significant potential to enhance the architecture of the Internet of Vehicles (IoV), the dynamic mobility of vehicles poses a considerable challenge to integrating FL with vehicular networks. In this paper, a novel clustered FL framework is proposed which is efficient for reducing communication and protecting data privacy. By assessing the similarity among feature vectors, vehicles are categorized into distinct clusters. An optimal vehicle is elected as the cluster head, which enhances the efficiency of personalized data processing and model training while reducing communication overhead. Simultaneously, the Local Differential Privacy (LDP) mechanism is incorporated during local training to safeguard vehicle privacy. The simulation results obtained from the 20newsgroups dataset and the MNIST dataset validate the effectiveness of the proposed scheme, indicating that the proposed scheme can ensure data privacy effectively while reducing communication overhead.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.251-258
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• 2019

In order to establish the NIVTPD which is only one qualification training institute for vocational training teachers in Cameroon, the research team taught such as curriculum development methods, course materials development, and lecturing methodology for master teachers of NIVTPD. Also we prepared actual operation of NIVTPD by conducting actual lecture through Pilot training. This paper also includes two different surveys (Base-line and End-line surveys) results and two different tests (pre and post-test) results to assess the impact of training gained in NIVTPD on classroom performance. The results of the survey will be used for the improvement of NIVTPD's educational program through identifying the current state of the vocational training interface and integration, modification and improvement of the curriculum. Examination results can also be used as indicators for vocational training teachers' pedagogical knowledge and for future certification.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.4
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• pp.407-415
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• 2019

Hearing - impaired children who have difficulty hearing and hearing go through pronunciation training. The purpose of this study is to provide the pronunciation training system based on digital contents that can be used for repeated hearing training while maintaining interest in hearing - impaired children. For this purpose, we conducted an interview survey for users and experts. Based on the results, we developed a digital content based pronunciation training system. Finally, to verify the effect of the digital service implemented, the user test was conducted for the hearing - impaired children. As a result of the interview, repeated training and interest factors were found to be essential factors affecting pronunciation training. In implementing digital services, we have used fairy tales and a variety of interactive elements to derive children's interests and designed a user flow that can train multiple words and sentences for effective repetition training. As a result of the test, this digital content was evaluated positively.