• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.495-505
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• 2019

Typical algorithms of deep learning include CNN(Convolutional Neural Networks), which are mainly used for image recognition, and RNN(Recurrent Neural Networks), which are used mainly for speech recognition and natural language processing. Among them, CNN is able to learn from filters that generate feature maps with algorithms that automatically learn features from data, making it mainstream with excellent performance in image recognition. Since then, various algorithms such as R-CNN and others have appeared in object detection to improve performance of CNN, and algorithms such as YOLO(You Only Look Once) and SSD(Single Shot Multi-box Detector) have been proposed recently. However, since these deep learning-based detection algorithms determine the success of the detection in the still images, stable object tracking and detection in the video requires separate tracking capabilities. Therefore, this paper proposes a method of combining Kalman filters into deep learning-based detection networks for improved object tracking and detection performance in the video. The detection network used YOLO v2, which is capable of real-time processing, and the proposed method resulted in 7.7% IoU performance improvement over the existing YOLO v2 network and 20 fps processing speed in FHD images.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.31-39
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• 2018

Recently, there has been active studies to provide a user-friendly interface in a virtual reality environment by recognizing user hand gestures based on deep learning. However, most studies use separate sensors to obtain hand information or go through pre-process for efficient learning. It also fails to take into account changes in the external environment, such as changes in lighting or some of its hands being obscured. This paper proposes a hand gesture recognition method based on deep learning that is strong in external environments without the need for pre-process of RGB images obtained from general webcam. In this paper we improve the VGGNet and the GoogLeNet structures and compared the performance of each structure. The VGGNet and the GoogLeNet structures presented in this paper showed a recognition rate of 93.88% and 93.75%, respectively, based on data containing dim, partially obscured, or partially out-of-sight hand images. In terms of memory and speed, the GoogLeNet used about 3 times less memory than the VGGNet, and its processing speed was 10 times better. The results of this paper can be processed in real-time and used as a hand gesture interface in various areas such as games, education, and medical services in a virtual reality environment.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.201-214
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• 2022

This study theoretically and empirically examined whether organizational communication mediates the effect of organizational learning culture perceived by members in the organization on task performance and contextual performance. Organizational learning culture is defined as a culture that is good at creating, acquiring, transferring, and modifying behavior to reflect new knowledge and insights. The hypothesis of this study is that the perceived organizational learning culture can increase performance through organizational communication between members. In particular, we measured communication within the organization into three types: upward, horizontal, and downward. These communications were set as mediating variables. In empirical studies, independent variables were perceived organizational learning culture, mediation variables were upward, horizontal and downward communication, and dependent variables were task performance and contextual performance. Hypothesis 1 is that the organizational learning culture will have a positive effect on employees' tasks and contextual performance. Hypothesis 2 is about the mediating effect of communication on the relationship between Hypothesis 1. In the empirical study, after verifying the validity and reliability of the research variables, correlation analysis and hypothesis verification were conducted. Hypothesis 1 was verified through regression analysis, and all detailed hypotheses were supported. To verify Hypothesis 2, we conducted a bootstrap test using process macro to separate the total, direct, and indirect effects and examine the significance of the indirect effects. As a result, Hypothesis 2 was partially supported. Downward communication mediated organizational learning culture and task and contextual performance, and horizontal communication mediated organizational learning culture and contextual performance. The mediating effect of upward communication was not significant. The results of this study contributed to the suggestion of implications, research limitations, and research directions. Organizational learning culture is the direction and intention of the organization to achieve its goals through the learning and growth of its members. By strengthening internal motivation, organizational members can take voluntary desirable actions that help groups and organizations as well as essential tasks given. since this relationship appears as a medium of downward communication, organizations can strengthen the relationship between organizational learning culture and performance through leadership education.

• The Journal of the Acoustical Society of Korea
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• v.34 no.3
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• pp.234-239
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• 2015

Non-Negative Matrix Factorization (NMF) is a method for updating dictionary and gain in alternating manner. Due to ease of implementation and intuitive interpretation, NMF is widely used to detect and separate overlapping sound events. However, NMF that utilizes non-negativity constraints generates parts-based representation and this distinct property leads to a dictionary containing fragmented acoustic events. As a result, the presence of shared basis results in performance degradation in both separation and detection tasks of overlapping sound events. In this paper, we propose a new method that utilizes K-Singular Value Decomposition (K-SVD) based dictionary to address and mitigate the part-based representation issue during the dictionary learning step. Subsequently, we calculate the gain using NMF in sound event detection step. We evaluate and confirm that overlapping sound event detection performance of the proposed method is better than the conventional method that utilizes NMF based dictionary.

• The Journal of Korean Association of Computer Education
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• v.6 no.1
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• pp.9-17
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• 2003

XML(eXtensible Markup Language), next generation internet standard language has the advantage of easy re-use and re-structure in other computing environment because it has the separate data, presentation and structure. In this paper, we implement the efficient retrieval system for the general user by limiting the XML documents on the multimedia learning contents for the virtual education system. The system design is based on SCO Metadata unit defined in SCORM as the proposed virtual education standard. Each XML documents has three indexes - keyword, element and attribute. Also, it makes possible to retrieve data without previous knowledge of the DTD by making the element retrieval screen structure for the user interface. And it gives the user various result screen formats such as XML and HTML by restructuring the retrieval result through XML-QL and XSL, respectively.

• Korean Medical Education Review
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• v.22 no.3
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• pp.146-152
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• 2020

Hospice and palliative care (HPC) education is an essential component of undergraduate medical education. Since February 4th, 2018, withholding and withdrawing life-sustaining treatment at the end of life (EOL) has been permitted in Korea as put forth by law, the "Act on Hospice and Palliative Care and Decisions on Life-Sustaining Treatment for Patients at the End of Life." Therefore, Korean medical schools have faced a challenge in providing comprehensive HPC education in order to better prepare medical students to be competent physicians in fulfilling their role in caring for patients at the EOL. There have been considerable variations in the evolution and organization of HPC education across Korean medical schools for the past 20 years. In 2016, all medical schools taught HPC curriculum as a separate course or integrated courses, with the most frequently taught topics including: delivering bad news, pain management, and the concept of palliative medicine. However, the content, time allocation, learning format, and clinical skills practice training of HPC education have been insufficient, inconsistent, and diverse. For this reason, we propose a HPC curriculum containing seven domains with 60 learning objectives in a course duration of over 20 hours based on the Palliative Education Assessment Tool (PEAT) as standard HPC curriculum. Furthermore, we recommend development of a national curriculum for HPC/EOL care education to be organized by the HPC board and managed under the accreditation criteria of the Korea Institute of Medical Education and Evaluation.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.1
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• pp.14-24
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• 2011

Purpose: The purpose of this study was to investigate the learning effect of a standardized patient managed instruction program for a clinical maternity nursing course. Methods: The SP managed instruction was made for clinical cases in intrapartum and postpartum nursing care. The SP managed instruction was evaluated by using a quasi-experimental, nonequivalent control group post-test design with separate classes of students attending clinical maternity nursing classes at a nursing school in Incheon. Control groups were taught by traditional lecture/model method and experimental groups were taught by SP managed instruction. Data was collected from September 2009 to February 2010. Results: 1. There was no significant difference between the experimental group and control group in identifying relevant data (z=-1.418, p=.156) and necessary nursing skills performance (z=-.643, p=.520) for intrapartum nursing care. In addition, there was no significant difference between the two groups in identifying relevant data (z=-.264, p=.782) and necessary nursing skill (z=-.342, p=.732) for postpartum nursing care. 2. In clinical nursing skill performances the total score was statistically significantly higher in the experimental group than the control group (intrapartum care z=-4.181, p=.000, postpartum care z=-4.279, p=.000). 3. There was a statistically significant difference between the two groups (intrapartum care z=-3.731, p=.000, postpartum care z=-4.066, p=.000). Conclusion: In conclusion, the SP methodis effective in teaching clinical maternity nursing for student nurses and it is necessary to develop SP instruction courses for many areas in the clinical nursing education field.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.159-171
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• 2009

The objective of this research is to explore a method to utilize a programmable robot, as a potential learning tool in the elementary school's curricula. Due to their programmability and operational ease of use, programmable robots are among digital toys that today offer specially instructive features. In this research, we developed the robot game-based project contents as a tool for teaching the elementary school children to learn the algorithm, the essential part of computer programming. The LEGO material, selected as the construction kit for robot, consists of a mechanical assembly system, a set of sensors and actuators, a central control unit, a programming environment. The project requires the children to complete 3 separate tasks, each of which is developed based on the principles of algorithm. The classroom feedback supports that the robotic experiences provided the children with fun and absorption. It is likely that implementing learning with robot in regular classroom in elementary school can bring new possibilities to the educational system, provided that a thorough preparation backs up the plan.

• STI Policy Review
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• v.5 no.2
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• pp.1-19
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• 2014

The concept of a holistic innovation policy is defined in this article, with discussions of what it is, why it is relevant, and how it can be implemented to enhance product innovation. It is shown that the innovation systems approach has diffused rapidly during the latest decades and has completely replaced the linear view in the field of innovation research. The majority of European countries are striving in the direction of developing a more holistic innovation policy. However, it is concluded that the innovation policies in European countries are still dominantly linear despite the fact that holistic policy seems to be the driving vision. Innovation policy is behindhand. Why innovation policy is still linear is also preliminarily discussed. Policymakers attending conferences on innovation are practically always in favor of holistic (systemic, broad-based, comprehensive, etc) innovation policies, have abandoned the linear view by learning from innovation research. The division between "linear" and "holistic" seems to be located within the community where innovation policies are designed and implemented, a community composed of policymakers (administrators/bureaucrats) and elected politicians. Perhaps the dividing line is between these two groups in that politicians, who actually make the decisions, may still reflexively believe in the linear view. Nevertheless, there seems to be a failure in communication between researchers and politicians in the field of innovation and there is therefore a strong need to involve innovation researchers in policy design and implementation to a much higher degree. Another way to increase the degree of holism could be to separate innovation policy from research policy, since their integration tends to cement the linear character of innovation policy. The empirical results are based on a questionnaire sent to twenty-three EU Member States, out of which nineteen (83%) responded. Part of the work for this article was carried out for the European Research and Innovation Area Committee (ERAC) of the European Commission (DG RTD).

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.221-232
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• 2019

This study aimed at finding out special education teachers' failure and success factors in teacher recruitment examinations. Total of 24 special education teachers participated in the semi-structured interview and 12 separate semantic themes were extracted via continuous comparative analysis on the interview contents. The findings were the following. First, the identified factors for the failures on the examinations were merely following what others do, failure-causing learning strategies, unconditional memorization, ineffective study groups, anxiety and lack of confidence, and lack self-management issue. Second, the identified factors for the success on the examinations were my style of study habits, success-causing learning strategies, balance of understanding and memorization, effective study groups, positivity, and strong self routine. The research proposes several practical applications to prepare the exam regarding this results.