• Journal of Broadcast Engineering
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• v.14 no.4
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• pp.488-500
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• 2009

In this paper, we study on making a use of value-added services using DTV closed caption data. Note that Closed-Captioning service helps to bridge "digital divide" through extending broadcasting accessibility of a neglected class such as hearing-impaired person and foreigner. In Korea, DTV Closed Captioning standard was developed in June 2007, and Closed Captioning service should be provided by an enforcing law in all broadcasting services in April 2008. Here, we describe the method of extracting a caption data from MPEG-2 Transport Stream of ATSC-based digital TV signal and generating a caption file using the extracted caption data and time information. In addition, we present the segmentation method of broadcasting content using caption file. Experimental results show that implemented S/W tool provides the feasibility of the proposed methods and the usability of closed caption for a variety of data application service.

• Korean Journal of Health Education and Promotion
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• v.22 no.4
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• pp.57-72
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• 2005

Objectives: To investigate the status of health education in elementary schools. Methods: 620 school nurses were surveyed by questionnaires from September to December in 2003. Results: 1) Among the school nurses under inquiry of planning of health education, 3.3% and 9.3% of them did not prepare for teaching plan. 2) The average time for health education by a school nurse was 96.8 hours a year, and handouts for health education were distributed 10.6 times. Among the contents of health education, sex education took the largest portion of health education with 24.6 hours a year. 3) With regard to the contents of health education covered by school nurses, sex education ranked first with 90.2%, next came drug abuse with 78.4%, dental health, CDC, disease control, healthy life and smoking, body structure and function and growth and development safety, alcohol, nutrition and environmental health followed them. 4) The main contents of education were CDC, dental health sex, healthy life and disease control for 1st, 2nd and 3rd grade students, sex, CDC, disease control and safety for 4th grade students, and sex, CDC, drug abuse and smoking for 5th and 6th grade students. 5) 72.6% of school nurses used class room for health education, 20.0% and 7.4% of them used grade and others such as broadcast, respectively. 6) 42.1% of school nurses used blackboard, 37.0% and 18.6% of them used visual media and handout as a teaching aids for health education. 7) 31.6% of school nurses replied that education time was insufficient 9.5% and 15.9% of them replied the contents of health education were inadequate and methods of health education were inappropriate, respectively. Conclusions: For the successful school health education, it would be in need of sufficient time for health education by opening health education course and of modify the various working conditions of school nurses, and those of effective educational materials and media for health education.

• Journal of Broadcast Engineering
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• v.20 no.5
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• pp.748-755
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• 2015

In this paper, sharing based admission control scheme is suggested for both service differentiation and improvement of wavelength utilization efficiency in burst switching networks. To provide service differentiation and high wavelength utilization efficiency, some of the wavelengths on a output link are shared with all classes and the others are used for the highest class exclusively. Markov based analysis is applied to the suggested scheme for the performance analysis and the numerical results are derived. The results are: The performance of lower traffic is more improved by the more number of shared wavelengths in case that the higher traffic or lower traffic is arrived equally or that the input rate of lower traffic is low. Another result is that the sharing effect of wavelengths is a little bit lowered when lower traffic passes the threshold.

• Smart Media Journal
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• v.5 no.4
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• pp.75-82
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• 2016

Although Korea's economic and domestic automobile market through the change of road environment are growth, the traffic accident rate has also increased, and the casualties is at a serious level. For this reason, the government is establishing and promoting policies to open traffic accident data and solve problems. In this paper, describe the method of predicting traffic accidents by eliminating the class imbalance using the traffic accident data and constructing the Hybrid Model. Using the original traffic accident data and the sampled data as learning data which use FP-Growth algorithm it learn patterns associated with traffic accident injury severity. Accordingly, In this paper purpose a method for predicting the severity of a victim of a traffic accident by analyzing the association patterns of two learning data, we can extract the same related patterns, when a decision tree and multinomial logistic regression analysis are performed, a hybrid model is constructed by assigning weights to related attributes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3074-3091
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• 2019

With the widespread use of the Internet, services for providing large-capacity multimedia data such as video-on-demand (VOD) services and video uploading sites have greatly increased. VOD service providers want to be able to provide users with high-quality keyframes of high quality videos within a few minutes after the broadcast ends. However, existing keyframe extraction tends to select keyframes whose quality as a keyframe is insufficiently considered, and it takes a long computation time because it does not consider an HD class image. In this paper, we propose a keyframe selection method that flexibly applies multiple keyframe quality metrics and improves the computation time. The main procedure is as follows. After shot boundary detection is performed, the first frames are extracted as initial keyframes. The user sets evaluation metrics and priorities by considering the genre and attributes of the video. According to the evaluation metrics and the priority, the low-quality keyframe is selected as a replacement target. The replacement target keyframe is replaced with a high-quality frame in the shot. The proposed method was subjectively evaluated by 23 votes. Approximately 45% of the replaced keyframes were improved and about 18% of the replaced keyframes were adversely affected. Also, it took about 10 minutes to complete the summary of one hour video, which resulted in a reduction of more than 44.5% of the execution time.

• Industry Promotion Research
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• v.6 no.4
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• pp.11-21
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• 2021

This study tried to analyze the factors of corporate growth potential of CJ E&M, a representative company in the content industry. First, in order to analyze CJ E&M's growth Engine, Michael Porter's diamond model was used to review key factors, and then, based on the 4P model, directions for future corporate growth were suggested. As a Result, Factors behind corporate growth included "Media content of various genres" and "recruitment of star-class human resources", in terms of Production Conditions, and "Gratification Chinese market demand" in terms of Demand Conditions. In addition, "Korean wave industry aiming at K-Culture" in terms of Related Industry and "Two track strategy: global·glocal strategy" and "Media commerce strategy" in terms of business environment: strategy, structure, and competition was able to analyze. For the direction of development, there are "various products through collaboration of affiliated companies" in terms of Product and "TVING Benchmarked Netflix" in terms of Price. In addition, "global expansion through OTT platform TVING" in terms of place and "challenge marketing utilizing the Tiktok platform" in terms of promotion must be carried out.

• Smart Media Journal
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• v.11 no.4
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• pp.30-37
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• 2022

Disease threatens plant growth and recognizing the type of disease is essential to making a remedy. In recent years, deep learning has witnessed a significant improvement for this task, however, a large volume of labeled images is one of the requirements to get decent performance. But annotated images are difficult and expensive to obtain in the agricultural field. Therefore, designing an efficient and effective strategy is one of the challenges in this area with few labeled data. Transfer learning, assuming taking knowledge from a source domain to a target domain, is borrowed to address this issue and observed comparable results. However, current transfer learning strategies can be regarded as a supervised method as it hypothesizes that there are many labeled images in a source domain. In contrast, unsupervised transfer learning, using only images in a source domain, gives more convenience as collecting images is much easier than annotating. In this paper, we leverage unsupervised transfer learning to perform plant disease recognition, by which we achieve a better performance than supervised transfer learning in many cases. Besides, a vision transformer with a bigger model capacity than convolution is utilized to have a better-pretrained feature space. With the vision transformer-based unsupervised transfer learning, we achieve better results than current works in two datasets. Especially, we obtain 97.3% accuracy with only 30 training images for each class in the Plant Village dataset. We hope that our work can encourage the community to pay attention to vision transformer-based unsupervised transfer learning in the agricultural field when with few labeled images.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.311-317
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• 2021

This study aims to propose an effective user experience of online class in the non-face-to-face through case analysis, focusing on school-linked education programs with art museums for elementary classes. To analysis domestic and international cases of school-liked education programs with art museum and to measure user experience, we were conducted with task test, in-depth interviews and surveys with experts. As a result, there were the pros and cons about the programs. Based on this, we propose a better method to increase the satisfaction of user experience for children. This study is significant in activating digital technology-based online education. This study expected to used as data on the user experience of a non-face-to-face online art education program in elementary schools in the future.

• Smart Media Journal
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• v.12 no.1
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• pp.24-31
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• 2023

Meta-learning is metacognition that instantly distinguishes between knowing and unknown. It is a learning method that adapts and solves new problems by self-learning with a small amount of data.A few-shot learning method is a type of meta-learning method that accurately predicts query data even with a very small support set. In this study, we propose a method to solve the limitations of the prototype created with the mean-point vector of each class. For this purpose, we use the few-shot learning method that created the prototype used in the few-shot learning method as the median prototype. For quantitative evaluation, a handwriting recognition dataset and mini-Imagenet dataset were used and compared with the existing method. Through the experimental results, it was confirmed that the performance was improved compared to the existing method.

• Smart Media Journal
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• v.12 no.5
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• pp.73-80
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• 2023

Recently, intelligent control systems are developing rapidly in various application fields, and methods for utilizing technologies such as deep learning, IoT, and cloud computing for intelligent control systems are being studied. An important technology in an intelligent control system is recognizing and tracking objects in images. However, existing multi-object tracking technology has problems in accuracy and speed. In this paper, a real-time intelligent control system was implemented using YOLO v5 and YOLO v6 based on a one-shot architecture that increases the accuracy of object tracking and enables fast and accurate tracking even when objects overlap each other or when there are many objects belonging to the same class. The experiment was evaluated by comparing YOLO v5 and YOLO v6. As a result of the experiment, the YOLO v6 model shows performance suitable for the intelligent control system.