• Journal of Advanced Navigation Technology
• /
• v.16 no.2
• /
• pp.264-270
• /
• 2012

e-Training focusing on the experience and practice accelerates actual-active learning and enforces the learning effects against the existing theory based education. The most typical hans-on training system is augmented reality. Especially, in the training field installed augmented reality system, the automobile maintenance trainee experiences effective training with the immediate information, which is indicating the location of parts and the procedure of repairing. The tracking is the core technology of the augmented reality system. The performance of augmented reality system depends on the tracking technology. Therefore, this paper suggests the tracking technology which is proper to the e-Training augmented reality service technology for the car mechanics.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.24 no.6
• /
• pp.381-389
• /
• 2012

An EST-based method which is applicable for estimating extreme sea levels from short sea-level records in a tide dominated coastal zone was developed. Via the method, annual maximum tidal level is chosen from the simulated 1-yr tidal data which are constituted by the independent daily high water levels, short term and long term surge heights and typhoon-induced surge heights. The high water levels are generated considering not only spring/neap tides and annual tide but also 18.6-year lunar nodal cycle. Typhoon-induced surges are selected from the training set which is constructed by observed or simulated surge heights. This yearly simulation is repeated many hundred years to yield the extreme tidal levels, and the whole process is carried out many hundred times repeatedly to get robust statistics of the levels. In addition, validation of the method is also shown by comparing the result with other researches with the tidal data of Mokpo Harbor.

• Journal of Korean Orthopaedic Sports Medicine
• /
• v.6 no.2
• /
• pp.115-118
• /
• 2007

Rupture of the pectoralis major muscle may occur in youngers or athletes associated with extreme sports, especially during the weight training. It is uncommon, but the incidence is increased by the recent growth of athletic population, According to the drift, variable methods of operative treatment for the functional and cosmetic recovery are introduced. We report a case of pectoralis major muscle rupture which was successfully repaired using transosseous repair and suture anchors five months after the initial injury during the bench-pressing.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.42 no.1
• /
• pp.25-30
• /
• 2017

Millimeter wave (mmWave) bands are expected to improve date rate of 5G systems due to the wide available bandwidth. While severe path loss in those bands has impeded the utilization, short wavelength enables a large number of antennas packed in a compact form, which can mitigate the path loss. However, estimating the channel with a conventional scheme requires a huge training overhead, hence an efficient estimation scheme operating with a small overhead needs to be developed. The sparsity of mmWave channels caused by the limited scatterers can be exploited to reduce the overhead by utilizing compressed sensing. In this paper, we introduce compressed sensing techniques for mmWave channel estimation. First, we formulate wideband channel estimation into a sparse recovery problem. We also analyze the characteristics of random measurement matrix constructed using quantized phase shifters in terms of mutual incoherence.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.29 no.3
• /
• pp.297-320
• /
• 2018

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.

• The Korean Journal of Applied Statistics
• /
• v.11 no.2
• /
• pp.435-449
• /
• 1998

In this article we have introduced a Bayes criterion for the variable selection in multiple discriminant analysis (MDA). The criterion is a default Bayes factor for the comparision of homo/heteroscadasticity of the multivariate normal means. The default Bayes factor is obtained from a development of the imaginary training sample method introduced by Spiegelhalter and Smith (1982). Based an the criterion, we also provided a test for additional discrimination in MDA. The advantage of the criterion is that it is not only applicable for the optimal subset selection method but for the stepwise method. More over, the criterion can be reduced to that for two-group discriminant analysis. Thus the criterion can be regarded as an unified alternative to variable selection criteria suggested by various sampling theory approaches. To illustrate the performance of the criterion, a numerical study has bean done via Monte Carlo experiment.

• The Journal of the Korea Contents Association
• /
• v.21 no.9
• /
• pp.136-148
• /
• 2021

In this study, the theoretical principle and structural practice of Estill Voice Training model that enables independent control of voice organs in the actor's acting art using voice as a medium of artistic expression. Its purpose is to explore the positive utility that can be applied to operation. The research on the speech science methodology that controls the differences in speech output due to the principle of the generation organ is a reality that has not been actively introduced in Korea compared to the existing actor's speech training that encompasses both the mind and the body. Voice can guarantee the accuracy and stability of operation when an understanding of our body is preceded based on anatomical physiology as well as contribute to the characterization of the character's phonetic character an element of character creation. Considering the training model through proprioception in actor voice training has practical value and alternative significance that the actor can be sought as a principle and practical methodology in the process of generating a series of target sounds.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.15 no.6
• /
• pp.7-14
• /
• 2019

The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.

• Journal of Broadcast Engineering
• /
• v.24 no.3
• /
• pp.401-410
• /
• 2019

In this paper, we propose a reference picture generation method for Inter-layer prediction based deep learning to improve the SHVC coding performance. A description will be given of a structure for performing filtering using a VDSR network on a DCT-IF based upsampled picture to generate a new reference picture and a training method for generating a reference picture between SHVC Inter-layer. The proposed method is implemented based on SHM 12.0. In order to evaluate the performance, we compare the method of generating Inter-layer predictor by applying dictionary learning. As a result, the coding performance of the enhancement layer showed a bitrate reduction of up to 13.14% compared to the method using dictionary learning, a bitrate reduction of up to 15.39% compared to SHM, and a bitrate reduction of 6.46% on average.

• Journal of the Korea Convergence Society
• /
• v.10 no.5
• /
• pp.119-124
• /
• 2019

The purpose of this study is to introduce the NHK"NEWS WEB EASY"online site to intermediate level learners of Japanese language, and to teach effective methods of Blended Learning through the lesson planning method using "NEWS WEB EASY" Suggesting. First, this paper helped students cultivate various vocabulary learning ability through Blended Learning using "NEWS WEB EAS Y", Second, helped them learn about Japanese culture and Japan through various articles, Third, helped them naturally perform listening training through listening files, Fourth, helped them practice reading Kanji and improve vocabulary skills by distributing the files without Furigana to them for search, and Fifth, showed them how to improve speaking ability by reading practice through learning using "NEWS WEB EASY". We could learn the fact that the study helped students a lot understand Japan and improve their Japanese ability by learning news articles that they could not come across due to prejudice through learning using "NEWS WEB EASY".