Purpose: This paper aims to clarify the problems and to examine the improvement methods by investigating the management condition of local-designated cultural property of which management is relatively poor in comparison with state-designated cultural heritage. Method: In order to grasp the management situation of the local-designated cultural heritage, a research on cultural heritage management situation and problems will be carried out with 35 cultual heritages in Goryeong-gun. Also, the improvement methods about the property type vulnerability on the basis of interview with cultual property managers, fire-fighting officers and civil servants, etc. Results: Local cultural heritages were investigated to be very vulnerable to the fire of wooden buildings, the theft of movable cultural heritages, and the effects of wind and water damage. It is because cultural heritages are scattered over wide areas fundamentally. As the result, it has difficulty in the patrols of police officers and fire fighters, and in the situation that it lacks disaster monitoring and CCTV for countermeasures to replace them, electronic security including fire hydrant, sensors, etc and fire extinguishing facilities and so on. It is difficult for local governments managing local-designated cultural heritages to enhance their management systems directly due to their lack of budget and manpower. Conclusion: In order to strengthen disaster and safety management system for the cultural heritages designated by local governments, they have to clarify disaster countermeasure task of fire fighting, police, and cultural heritage managers prepare their manuals, and systematize them through disaster drill mainly in local autonomous governments. Also, so as to establish a surveillance system every day, they have to enhance the community for local cultural heritage manage consisting of local volunteer fire departments, local voluntary disaster prevention organizations, volunteers, etc.
The extant research literature is scant in telling us how organizations actually implement lifelong learning practices and policies. Hence, the purpose of this paper is to describe how lifelong learning is grounded in practice. We do this by introducing a new conceptual framework that was developed on the basis of interviews with a number of leading edge corporations from Canada, the USA, India and Korea. At the heart of our model, and any effective lifelong learning system, is a performance management system. The performance management system allows for an ongoing interaction between managers and employees whereby challenging performance and learning goals are set, and concrete plans are made to achieve them. Those plans involve three types of learning activities. First, employees may be encouraged to engage in formal learning. This could be provided in-house, or the employee may take a leave of absence and return to school. Second, managers may deploy their subordinates to different departments or teams, so that they can take part in new work-based learning opportunities. Finally, employees may be encouraged to learn on their own time. By this we mean learning after organizational hours through firm-sponsored 5 programs, such as e-learning courses. Fueled by the performance management system, we posit that these three learning outlets lead to effective lifelong learning in organizations.
Journal of Korea Entertainment Industry Association
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v.15
no.1
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pp.99-115
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2021
The aim of this study is to improve the curriculum of the physical education by recognizing the necessity of new physical education to meet the needs of the sports industry. As a preliminary study for this, the subjects of physical education at American universities and those at regular domestic universities have been investigated. Then, the current state of operation of the physical education system of the credit bank system has been investigated. The first is the definition of the credit banking system, the investigation of accreditation of credits and the institutions of education and training. The Second is the investigation of the educational goals and qualifications of each major in the standard education curriculum and the current status of accredited credits. The third is the type and operation of institutions by degree in physical education, and the survey on current majors in progress. The fourth is the survey on the current status of operating institutions by region. The fifth is the classification of detailed subjects by major and the survey on the status of subjects by major. The last is the detailed subjects by major, and the analysis of the consistent or similar subjects in domestic and international sports industry subjects. Through the findings of this investigation, the following directions for improvement of the credit bank system curriculum have been suggested. Firstly, it is necessary to newly establish major courses tailored to social change. Secondly, it is necessary to develop mandatory and optional courses that meet the needs of the times. Thirdly, it is necessary to increase courses centered on field training that can meet the needs of the sports industry. Fourthly, in relation to the evaluation and recognition of the credit banking system, the conclusion have been derived that institutional improvement should be urgently performed.
Communication breakdown has been mentioned causing a heavy burden for dementia caregivers. This study aims to inspect and structure the process and results of communication between people with dementia and their caregivers. The impeding/facilitating elements of communication are also extracted. Interviews with 21 of dementia care experts about the direct and indirect experiences of communication with people with dementia were analyzed based on the grounded theory. Results show that combination of the cognitive and communication decline of the people with dementia, confusing environment and caregivers' inappropriate attitude and lack of communication skills leads to communication breakdown and relations severance. Minimal contacts and task-oriented conversation results in conflicts and people with dementia's increasing agitation, anxiety and violent behaviors while understanding of individuality and listening with heart lead to recovered lucidity in the state of serious dementia, recovered pleasure and voluntary participation in the daily activities for people with dementia. Core paradigm was defined as 'Person Centered Care through relation formation'. There are 4 types of communication with people with dementia : partnering, patronizing, conflicting, avoiding types. Researchers suggest that Person Centered based communication skills be educated and trained for dementia caregivers.
The semiconductor fabrication process is complex and time-consuming. There are sometimes errors in the process, which results in defective die on the wafer bin map (WBM). We can detect the faulty WBM by finding some patterns caused by dies. When one manually seeks the failure on WBM, it takes a long time due to the enormous number of WBMs. We suggest a two-step approach to discover the probable pattern on the WBMs in this paper. The first step is to separate the normal WBMs from the defective WBMs. We adapt a hierarchical clustering for de-noising, which nicely performs this work by wisely tuning the number of minimum points and the cutting height. Once declared as a faulty WBM, then it moves to the next step. In the second step, we classify the patterns among the defective WBMs. For this purpose, we extract features from the WBM. Then machine learning algorithm classifies the pattern. We use a real WBM data set (WM-811K) released by Taiwan semiconductor manufacturing company.
Recently, diverse devices using different wireless technologies are gradually increasing in the IoT environment. In particular, it is essential to design an efficient feature extraction approach and detect the exact types of radio signals in order to accurately identify various radio signal modulation techniques. However, it is difficult to gather labeled wireless signal in a real environment due to the complexity of the process. In addition, various learning techniques based on deep learning have been proposed for wireless signal classification. In the case of deep learning, if the training dataset is not enough, it frequently meets the overfitting problem, which causes performance degradation of wireless signal classification techniques using deep learning models. In this paper, we propose a generative adversarial network(GAN) based on data augmentation techniques to improve classification performance when various wireless signals exist. When there are various types of wireless signals to be classified, if the amount of data representing a specific radio signal is small or unbalanced, the proposed solution is used to increase the amount of data related to the required wireless signal. In order to verify the validity of the proposed data augmentation algorithm, we generated the additional data for the specific wireless signal and implemented a CNN and LSTM-based wireless signal classifier based on the result of balancing. The experimental results show that the classification accuracy of the proposed solution is higher than when the data is unbalanced.
Purpose: This study intends to present a future research direction for military education by identifying and analyzing research trends in the field of education related to soldiers in academic research published in Korea. Method: In domestic academic papers published from 2000 to 2022, 269 final papers were selected from among the papers conducted on the subjects of 'soldiers' and 'education'. The final selected literature was analyzed by categorizing it into year, research subject, research method type, number of researchers, research topic, and research content. Result: First, since 2010, the number of studies has gradually increased, and 31 articles were published in 2021, with the largest number of studies. Second, the largest number of studies were conducted on the entire military, followed by the Army and Nursing Officers. Third, qualitative research methods were used a little more in research methods. Fourth, the number of researchers with two or more researchers was steadily increasing. Fifth, most of the research topics were development, design, and improvement. Sixth, in terms of detailed research contents, most of the studies were related to soldiers' spirit(mental force) education and military education and training. Conclusion: Through this study, it was confirmed that military education was studied in various subjects. The direction of future research should be in-depth research from various perspectives with a lot of interest in military education and safety.
KIPS Transactions on Software and Data Engineering
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v.12
no.8
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pp.355-364
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2023
As advanced cyber threats continue to increase in recent years, it is difficult to detect new types of cyber attacks with existing pattern or signature-based intrusion detection method. Therefore, research on anomaly detection methods using data learning-based artificial intelligence technology is increasing. In addition, supervised learning-based anomaly detection methods are difficult to use in real environments because they require sufficient labeled data for learning. Research on an unsupervised learning-based method that learns from normal data and detects an anomaly by finding a pattern in the data itself has been actively conducted. Therefore, this study aims to extract a latent vector that preserves useful sequence information from sequence log data and develop an anomaly detection learning model using the extracted latent vector. Word2Vec was used to create a dense vector representation corresponding to the characteristics of each sequence, and an unsupervised autoencoder was developed to extract latent vectors from sequence data expressed as dense vectors. The developed autoencoder model is a recurrent neural network GRU (Gated Recurrent Unit) based denoising autoencoder suitable for sequence data, a one-dimensional convolutional neural network-based autoencoder to solve the limited short-term memory problem that GRU can have, and an autoencoder combining GRU and one-dimensional convolution was used. The data used in the experiment is time-series-based NGIDS (Next Generation IDS Dataset) data, and as a result of the experiment, an autoencoder that combines GRU and one-dimensional convolution is better than a model using a GRU-based autoencoder or a one-dimensional convolution-based autoencoder. It was efficient in terms of learning time for extracting useful latent patterns from training data, and showed stable performance with smaller fluctuations in anomaly detection performance.
The effects of therapeutic instrumental music performance (TIMP) using a ukulele were examined in adults with central nervous system damage and impaired hand functions. The participants were three adults with neurological damage who participated in 30-min sessions twice a week over 6 weeks. Changes in hand function was measured by the Box and Block Test (BBT), the 9-Hole Peg Test (9-HPT), and the Jebsen-Taylor Hand Function Test (JTHFT). Following the intervention, all three participants showed increases in the BBT and 9-HPT scores, indicating positive changes in fine motor coordination and dexterity. In terms of the JTHFT, all three participants showed increases in the "writing" and "card flipping" subtask scores, indicating that the intervention was effective in improving more coordinated finger movements. All participants reported the satisfaction with the intervention. They also pointed out that they were motivated to play the ukulele and that following the intervention used their affected hand more frequently in daily activities. These findings suggest that TIMP with a ukulele for patients with central nervous system damage can have positive effects on their functional hand movements and motivate these patients to practice their rehabilitation exercises.
Jin Ki Seor;Young-soo Park;Dongsu Shin;Dae Won Kim
Journal of the Korean Society of Marine Environment & Safety
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v.29
no.7
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pp.930-938
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2023
Maritime English is a specialized language system designed for ship operations, maritime safety, and external and internal communication onboard. According to the International Maritime Organization's (IMO) International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW), it is imperative that navigational officers engaged in international voyages have a thorough understanding of Maritime English including the use of Standard Marine Communication Phrases (SMCP). This study measured students' proficiency in Maritime English using a learning and testing platform that includes voice recognition, translation, and word entry tasks to evaluate the resulting improvement in Maritime English exam scores. Furthermore, the study aimed to investigate the level of platform use needed for cadets to qualify as junior navigators. The experiment began by examining the correlation between students' overall English skills and their proficiency in SMCP through an initial test, followed by the evaluation of improvements in their scores and changes in exam duration during the mid-term and final exams. The initial test revealed a significant dif erence in Maritime English test scores among groups based on individual factors, such as TOEIC scores and self-assessment of English ability, and both the mid-term and final tests confirmed substantial score improvements for the group using the platform. This study confirmed the efficacy of a learning platform that could be extensively applied in maritime education and potentially expanded beyond the scope of Maritime English education in the future.
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