• Korean Journal of Health Education and Promotion
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• v.31 no.2
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• pp.27-40
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• 2014

Objectives: While cinema is regarded in the contemporary popular leisure activities, the presentation smoking scenes in films has not been fully studied. We investigated Korean box-office hit movies by using content analysis. Methods: We sampled fifty-one hit films played in Korean cinemas during the period 2000-2013. Here, a hit film is defined as a movie viewed by at least 5,000,000 audiences. Results: We found that 78.1% of the Korean hit films contained smoking scenes, whereas only 15.6% of the American hit films were so. Films with the more frequent number of smoking scenes could be lined up in the order of crime, thriller, and action genres (p<.05). Smoking actors were leading roles, hence attractive characters appealing to the audience. Moreover, the smoking rate of female characters in the films was determined to be 3.66 times greater than the actual smoking rate of females in reality. Conclusions: Smoking scenes are likely to affect the audiences' cognitive priming and/or social learning with respect to smoking. Therefore, it would be necessary to set a restriction standard to the frequency of smoking scenes to appear Korean films, and to consider it as an important factor in the assigning a screening grade to such films.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.71-80
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• 2018

In this paper, we developed an interactive animation authoring tool and developed the Android based interactive edutainment contents. The authoring tool for creating interactive animations developed in this paper is based on a graphical user interface, so users can easily create interactive animations. Interactive animation contents created by this authoring tool can be created as images and xml files so that they can be used directly on mobile devices. In order to increase learning efficiency for children, Android-based interactive edutainment electronic storybooks, which is implemented using this authoring tool, provided a recording function to listen to the parents' voice as well as an interactive action in which the characters move in accordance with the story line. We also provided a STEAM game that combines creativity and imagination with creative science and technology. Therefore, by creating the edutainment contents through the proposed authoring tool for interactive animation, various interactive animation contents could be produced more easily than the code implementation method. Through this study, I hope that it will be helpful for the development of various interactive edutainment contents to provide educational contents considering the quantity and quality to infants.

• Journal of the Korean Society of Food Science and Nutrition
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• v.22 no.2
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• pp.154-160
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• 1993

The strategic plan of nutrition education intervention was established to improve nutritional status and reduce nutrition-related diseases for Korean adults. Nutritional problems and risk factors of the nutrition-related diseases were identified to set the long-term goal and objectives for the intervention. The social learning theory and theory of diffusion of innovation served as theoretical basis for this plan. Mass media and interpersonal channels were used to educate the whole adult population and specific target groups. The outline of the educational contents was developed for the whole adult population and slightly modified according to characteristics of the target groups. This plan can serve as a guideline for the operational plans for the future nutrition education intervention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4300-4314
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• 2019

With the development of video-related applications, media content has increased dramatically through applications. There is a substantial amount of near-duplicate videos (NDVs) among Internet videos, thus NDVR is important for eliminating near-duplicates from web video searches. This paper proposes a novel NDVR system that supports large-scale retrieval and contributes to the efficient and accurate retrieval performance. For this, we extracted keyframes from each video at regular intervals and then extracted both commonly used features (LBP and HSV) and new image features from each keyframe. A recent study introduced a new image feature that can provide more robust information than existing features even if there are geometric changes to and complex editing of images. We convert a vector set that consists of the extracted features to binary code through a set of hash functions so that the similarity comparison can be more efficient as similar videos are more likely to map into the same buckets. Lastly, we calculate similarity to search for NDVs; we examine the effectiveness of the NDVR system and compare this against previous NDVR systems using the public video collections CC_WEB_VIDEO. The proposed NDVR system's performance is very promising compared to previous NDVR systems.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.2
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• pp.45-64
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• 2019

This study examined the perception and use of web 2.0 applications for academic purposes by medical students of Ambrose Alli University, Ekpoma. The objective was to investigate the medical students' perceptions of web 2.0 applications, web 2.0 tools use, extent of use, perception and purpose for using web 2.0 applications. Descriptive survey method was used for this study. The total population of this study was 3670 and the sample size was 367 representing 10% of the study. The purposive sampling technique was adopted, and the instrument used for this study was questionnaire, a total of 367 copies were administered and 321 were found useful for the study. Percentage means and standard deviation on table and chart were used to analyze the data collected using Statistical Package for the Social Sciences (SPSS) software. Findings showed that the perception of web 2.0 applications of medical students AAU was positive and few of web 2.0 applications were used for academic purposes. It was recommended in the study that medical students should be provided with the facilities in a format more familiar to them and used by most of them and institutions need to equip the learning process with the needed facilities which will be of utmost benefit even for future purposes.

• Journal of Broadcast Engineering
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• v.24 no.4
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• pp.573-579
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• 2019

To achieve fully autonomous driving, the perceptual skills of the surrounding environment must be superior to those of humans. The $60^{\circ}$ angle, $120^{\circ}$ wide angle cameras, which are used primarily in autonomous driving, have their disadvantages depending on the viewing angle. This paper uses a multi-angle object recognition system to overcome each of the disadvantages of wide and narrow-angle cameras. Also, the aspect ratio of data acquired with wide and narrow-angle cameras was analyzed to modify the SSD(Single Shot Detector) algorithm, and the acquired data was learned to achieve higher performance than when using only monocular cameras.

• Journal of Advanced Navigation Technology
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• v.22 no.6
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• pp.670-674
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• 2018

Social network service (SNS) related data including comments/text, images, videos, blogs, and user experiences contain a wealth of information which can be used to build recommendation systems for various clients' and provide insightful data/results to business analysts. Multimedia data, especially visual data like image and videos are the richest source of SNS data which can reflect particular region, and cultures values/interests, form a gigantic portion of the overall data. Mining such huge amounts of data for extracting actionable intelligence require efficient and smart data analysis methods. The purpose of this paper is to focus on this particular modality for devising ways to model, index, and retrieve data as and when desired.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.760-767
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• 2018

Advanced driver assistance system(ADAS) is a major technique in the intelligent vehicle field. The techniques for ADAS can be separated in two classes, i.e., methods that directly control the movement of vehicle and that indirectly provide convenience to driver. In this paper, we propose a novel system that gives a visual assistance to driver by translating a night road image to a day road image. We use the black box images capturing the front road view of vehicle as inputs. The black box images are cropped into three parts and simultaneously translated into day images by the proposed image translation module. Then, the translated images are recollected to original size. The experimental result shows that the proposed method generates realistic images and outperforms the conventional algorithms.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.240-242
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• 2019

본 논문에서는 대한민국 국토에 대한 토지피복지도를 인공위성 영상으로부터 생성하는 기술을 제안한다. 제안하는 방법은 먼저 합성곱 신경망을 이용하여 인공위성 영상의 각 패치를 4 종류의 토지 용도로 분류한다. 이후 인공위성 영상과 토지 용도 분류 결과를 조건부 랜덤 필드에 적용하여 픽셀 단위로 색상과 질감이 유사한 영역을 같은 토지 용도로 분류될 수 있도록 하여 정확한 토지피복지도를 생성한다. 현재 대한민국 국토에 대한 토지피복지도 생성을 위해 구축된 데이터 세트가 없기 때문에 본 연구에서는 합성곱 신경망 학습을 위한 데이터 세트를 직접 구축하였다. 이를 위해 환경공간정보 서비스 웹사이트로부터 인공위성 영상을 취득하고, 각 영상을 패치 단위로 나누어 토지 용도를 직접 분류하였다. 실험 결과를 통해 제안하는 토지 용도 분류 합성곱 신경망의 성능을 평가하였으며, 최종 생성된 토지피복지도는 제안하는 방법이 효과적으로 토지 용도를 분류할 수 있음을 나타낸다.

• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.420-429
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• 2019

Recently, researches using Convolutional Neural Network (CNN)-based approaches have been actively conducted to improve the reduced quality of compressed video using block-based video coding standards such as H.265/HEVC. This paper aims to summarize and analyze the network models in these quality enhancement studies. At first the detailed components of CNN for quality enhancement are overviewed and then we summarize prior studies in the image domain. Next, related studies are summarized in three aspects of network structure, dataset, and training methods, and present representative models implementation and experimental results for performance comparison.