• Journal of Korea Entertainment Industry Association
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• 제14권3호
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• pp.383-392
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• 2020

This study was to compare the effects of joint mobilization, treadmill with insole, and joint mobilization and treadmill with insole on pain, pelvic angle, and foot pressure in patients with sacroiliac joint pain. 24 patients randomly assigned to joint mobilization group(n=8), treadmill with insole group(n=8), or joint mobilization and treadmill with insole group(n=8). Each groups were conducted 30 minutes a day, two days a week for four weeks. Pain was evaluated using visual analogue scale and pelvic angle was measured using palpation meter and foot pressure(fore/rear ratio) was measured using Gateview AFA-50 before intervention and after 4 weeks. All groups were significant differences pain in intragroup(p<.01). In pelvic angle, the joint mobilization group was statistically significant in the anterior tilt only, the joint mobilization and treadmill with insole group showed statistically significant improvement in both anterior and posterior tilt(p<.01), and the treadmill with insole group did not show any statistically significant change(p>.05). Also the joint mobilization and treadmill with insole group were significant differences in foot pressure(p<.01). All the interventions reduce sacroiliac joint pain and joint mobilization and treadmill with insole training are most effective changes in pelvic angle and foot pressure. This study can be used as a basic data for prevention of injury, posture correction and gait training in patients with sacroiliac joint pain, as well as chronic low back pain and plantar pressure problem.

• Proceedings of the Acoustical Society of Korea Conference
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• 한국음향학회 1998년도 제15회 음성통신 및 신호처리 워크샵(KSCSP 98 15권1호)
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• pp.74-77
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• 1998

우리는 C++를 이용하여 음성인식기를 구현하여 기존의 C를 이용한 경우에 비하여 30% 수준의 소스로 표현하였고 인식기의 공동개발, 확장 및 개선, 기술 전수 등이 용이하게 되었으며 이를 음성인식 엔진 및 음성인식 연구를 위한 툴로 사용할 수 있게 되었다. 이 인식기의 특징으로는 연속 음성 및 대화체 음성을 인식할 수 있으며 trigram 언어 모델을 사용하였고 문맥 종속 음소 모델링에서는 기존의 triphone 보다 넓은 문맥을 고려한 n-phone context modeling을 사용하였으며 모델의 선정에는 음성학적 지식을 기반으로 한 질문을 사용한 decision tree를 사용하여 훈련에 나타나지 않은 단어나 문맥인 경우라도 가장 가까운 모델을 선정할 수 있게 하였다. 또, tree lexicon을 사용하여 속도를 개선하였으며 state 단위의 모델 공유를 통해 제한된 데이터를 이용하여 더 많은 모델을 훈련할 수 있어 성능을 개선하였다. 상용화를 염두에 두고 pc에서 구현하였다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 한국재난정보학회 2022년 정기학술대회 논문집
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• pp.205-206
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• 2022

이번 연구에서는 재난관리 교육프로그램 개선을 위해 민방위재난안전교육연구원의 교육과정에 중점을 둔 전문가들을 대상으로 AHP분석을 실시하여 교육과정 개혁의 우선순위를 분석하였다. 분석 결과 재난현장지휘시스템에 대한 이해가 가장 중요한 분야로 인식되고 있으며, 재난관리 교육훈련 과정에서 대응현장에 적용되는 표준조치절차(SOP)에 대한 이해와 획득이 중요한 분야로 인식되고 있다. 따라서 재난관리 교육 프로그램 개선을 위한 현장지향적 재난대응역량 제고를 위한 교육 프로그램 부문 강화가 필요하다. 특히 재난현장에 참여하는 다양한 정부기관과 중앙정부 및 지방자치단체 관계자들의 현장 이해도 제고를 위한 교육이 이뤄져야 한다.

• Korean Journal of Agricultural and Forest Meteorology
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• 제25권2호
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• pp.80-98
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• 2023

This study explores the effectiveness of various data preprocessing algorithms for improving subseasonal to seasonal (S2S) climate predictions from six climate forecast models and their Multi-Model Ensemble (MME) using a deep learning-based postprocessing model. A pipeline of data transformation algorithms was constructed to convert raw S2S prediction data into the training data processed with several statistical distribution. A dimensionality reduction algorithm for selecting features through rankings of correlation coefficients between the observed and the input data. The training model in the study was designed with TimeDistributed wrapper applied to all convolutional layers of U-Net: The TimeDistributed wrapper allows a U-Net convolutional layer to be directly applied to 5-dimensional time series data while maintaining the time axis of data, but every input should be at least 3D in U-Net. We found that Robust and Standard transformation algorithms are most suitable for improving S2S predictions. The dimensionality reduction based on feature selections did not significantly improve predictions of daily precipitation for six climate models and even worsened predictions of daily maximum and minimum temperatures. While deep learning-based postprocessing was also improved MME S2S precipitation predictions, it did not have a significant effect on temperature predictions, particularly for the lead time of weeks 1 and 2. Further research is needed to develop an optimal deep learning model for improving S2S temperature predictions by testing various models and parameters.

• Journal of Korean Society of Forest Science
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• 제103권4호
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• pp.574-582
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• 2014

In order to prevent occupational injury in forestry operations, several laws and regulations related to forestry have been enacted. Forestry education and training is overseen by the Forest Training Institute under the Korea Forest Service and three training centers under the National Forestry Cooperative Federation. The latter are managing both common and specialized courses, with safety education and training as an important focus. Improvements to reduce the accident rate are as follows: (1) strengthening of qualifications (via aptitude test) and selection standards of forestry workers (such as age limits); (2) raise of the number of training days and the rate of certified essential forces that compose Units of Forest Craft Workers; (3) revision of regulations to select forestry management engineers (second grade certified engineer); (4) introduction of a qualification renewal system; (5) improvement of working conditions at forestry scenes and systemization of safety education; (6) revision of regulations of individual protection equipment; (7) enforcement of wearing individual protection equipment; (8) supplementation of disaster response for increasing safety perception.

• Journal of the Korea Society of Computer and Information
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• 제16권6호
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• pp.71-77
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• 2011

In this paper, we propose a learning based super resolution algorithm using local block for image enhancement of vehicle license plate. Local block is defined as the minimum measure of block size containing the associative information in the image. Proposed method essentially generates appropriate local block sets suitable for various imaging conditions. In particular, local block training set is first constructed as ordered pair between high resolution local block and low resolution local block. We then generate low resolution local block training set of various size and blur conditions for matching to all possible blur condition of vehicle license plates. Finally, we perform association and merging of information to reconstruct into enhanced form of image from training local block sets. Representative experiments demonstrate the effectiveness of the proposed algorithm.

• Korean Security Journal
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• 제15호
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• pp.129-146
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• 2008

When the primary function of private security is to protect lives and property of clients, emergency management should be included in the security service and many countermeasure services should be carried out for that purpose. In theses contexts, private security should develop and maintain a educational program to meet their responsibilities to provide the protection and safety of the clients. Conclusionally, private security industry employers in Korea has not concerned with the importance of training and education by lack of recognition and has been passive about qualified guards. And the authorities supervising and the administrating the guards has not recognized the importance of private security and has neglected the training of the guards. In theses contexts, private security should develop and maintain a educational program of emergency management to meet their responsibilities to provide the protection and safety of the clients.

• Journal of the Society of Disaster Information
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• 제13권4호
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• pp.550-561
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• 2017

This paper deals with the improving issues and methods for 119 dispatcher's work and training manual in order to improve their emergency response ability in Korea. Firstly, it was investigated and compared on manuals and training methods for the reception of emergency calls between South Korea and the USA. And then, specific improvement methods were considered by questionnaire for 95 dispatchers who work at 119 communication center in Gyeonggi-do in the basis of surveys. As a result, people and equipment related to 119 have been continuously upgraded, however, their work depend on their personal experiences and capabilities but because of the insufficient pretraining for the dispatchers. Also, the manpower is still insufficient overall compared to the work. Therefore, it is necessary to secure the expertise of the dispatchers through the systematic training program and proper training and test standards for 119 dispatchers, and to prevent errors in the logic of the situation and systematize their work by standardizing the response work and arranging appropriate manpower.

• Korean Journal of Construction Engineering and Management
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• 제20권3호
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• pp.97-104
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• 2019

The construction industry is heavily dependent on labor force as automation to building constructions is difficult due to its characteristics such on-site production, custom manufacturing production. Thus, while securing and fostering high-quality functional manpower for stable construction work are significant, the construction workforce has been persistently lacking compared to demand. Young workers are reluctant to enter the construction industry due to high labor intensity, unstable employment structure, and uncertainty for the future. The employment rate for new jobs in the construction industry is half as high as in others. Currently, the departments related to construction are organized in specialized high school to conduct training for young workers. The graduates have a low ratio of employment rate to the construction industry and functional capacities fallen short of expectations. In this study, the education and training conditions of specialized high schools were analyzed to derive problems and key improvements of the education system were drawn. As an improvement for the analysis results, it provides solutions such as giving advantages of previous education experience, expand industry-academic cooperation with businesses, and expand links with external educational institutions.

• The Journal of the Korea Contents Association
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• 제8권4호
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• pp.255-263
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• 2008

The purpose of this treatise is to evaluate impact of education and training of travel industry's employees upon their job satisfaction and to seek for improving efficiency of such education and training and measures for personnel management. It is also to evaluate impact of education and training of travel industry's employees upon their job performance. Moreover it is attempted to make suggestions for emphasizing importance of developing potentiality of travel industry's employees and suggestions for enhancing job satisfaction of employees. Review on outcome of education and training of travel industry's employees revealed that improvement of their job satisfaction depends on contents of education and training and motivation for it, desire and ability for achievement. Also it depends on support from their superiors or colleagues and existence of environmental atmosphere. In future it is necessary to develop diverse education and training programs for the employees and not only travel industry but also competent government agencies should make long-term investment and support for fostering excellent employees in future.