• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.1
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• pp.395-404
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• 2019

South Korea's economic growth was rapid, It was occasioned the concentration of resources in the metropolitan area. On the other hand, the province has a narrow economic base compared to the metropolitan area, and the underpopulation have been identified. Thus, The government announced the 'National balanced development law' in 2004 to reduce the problem of regional imbalances. The study collected data on 95 of relocated public institutions, and unlike previous studies, Mamquist analysis was used to compare the productivity before and after each public institutions' s relocation. The study focused on how the relocation of public institutions affected the productivity of public institutions through Malmquist Analysis. The results of the analysis show that productivity is declining after most public institutions have moved. And two independent samples T-test result, respective yearly average is nonsignificant.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.6
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• pp.341-352
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• 2019

Recently, e-sports has been receiving social attention. Game leadership is a necessary skill to perform effective game tasks, and it is very important to e-sports game and improve teamwork. As a result, there is a need to identify psychosocial factor that promote game leadership. This study tried to examine how game motivation, game efficacy, and psychological factors(self-control, social intelligence, self-esteem) reported to have an important effect on leadership have relation with game leadership to MOBA genre users who were known to consider role of game leadership as important factor. We used data from 196 adolescents using MOBA games for surveys. As a result of analysis, internet game time, game efficacy, and social intelligence had a positive relationship with game leadership. And game motivation(social, exploration and escape) also had a positive effect on game leadership. But self-control, self-esteem and some game motivations(acquisition, achievement) was not significant.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.5
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• pp.689-697
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• 2019

This study's target is adolescents from overseas-employed families. Adolescents from overseas-employed families experience psychological and emotional problems because of long term separation from their parents. This study examined the moderating effect of self-identity between depression, anxiety, and school adaptation of adolescents from overseas-employed families in Yanbian, China. The data was collected through a survey of 285 middle school students and 167 valid questionnaires which marked as overseas-employed family, SPSS 24.0, regression analysis was performed. The results were as follows: depression and anxiety had a significant effect on the school adaptation of adolescence from overseas-employed families in Yanbian, China. Furthermore, depression, anxiety, and self-identity had significant interactions with school adaptation. In the conclusion, the researchers suggest various practical strategies based on results of the study to improve the self-identity and school adaptation of Chinese-Korean adolescents in China.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.11
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• pp.1133-1144
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• 2019

Recently, the amount of image on the Internet has rapidly increased, due to the advancement of smart devices and various approaches to effective image retrieval have been researched under these situation. Existing image retrieval methods simply detect the objects in a image and carry out image retrieval based on the label of each object. Therefore, the semantic gap occurs between the image desired by a user and the image obtained from the retrieval result. To reduce the semantic gap in image retrievals, we connect the module for multiple objects classification based on deep learning with the module for human behavior classification. And we combine the connected modules with a behavior ontology. That is to say, we propose an image retrieval system considering the relationship between objects by using the combination of deep learning and behavior ontology. We analyzed the experiment results using walking and running data to take into account dynamic behaviors in images. The proposed method can be extended to the study of automatic annotation generation of images that can improve the accuracy of image retrieval results.

• 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.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.287-296
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• 2019

This study is a qualitative research attempted to understand meaning and essential structure of experience of nursing students who received simulation training and video watching education. The collected data were analyzed using the Colaizzi method among the phenomenological methods. The results of the study showed that the simulation practice was divided into three categories (experience of clinical nursing in advance, benefit of simulation exercise, limitation of simulation exercise) and 14 themes. Video watching education was derived from three categories (convenience of education, increase of educational effect, lack of knowledge transfer) and 6 themes. In conclusion, it is suggested that the simulation training and the video watching education should be reflected the results of this study in order to apply to the nursing curriculum effectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.63-68
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• 2018

Offloading is a method of communicating, processing, and receiving results from some of the applications performed on local computers to overcome the limitations of computing resources and computational speed.Recently, it has been applied in mobile games, multimedia data, 360-degree video processing, and image processing for Internet broadcasting to speed up processing and reduce battery consumption in the mobile computing sector. This paper implements a viewer that enables users to convert various flat-panel images and view contents in a wireless Internet environment and presents actual results of an experiment so that users can easily understand the images. The 360 degree spherical image is successfully converted to a plane image with Double Panorama, Quad, Single Rectangle, 360 Overview + 3 Rectangle depending on the image acquisition position of the 360 degree camera through the interface. During the experiment, more than 100 360 degree spherical images were successfully converted into plane images through the interface below.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.798-801
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• 2014

Nowadays, the demand for multimedia services has grown with the rapid evolution in the digital era. But due to external causes in the process of processing, transmitting and storing image data, the images are damaged. One of the major causes of such damage is known to be noise. Some of the most commonly used methods for removing noise are CWMF(center weighted median filter), A-TMF(alpha-trimmed mean filter) and AWMF(adaptive weighted median filter). However, these filters all leave a bit to be desired in removing noise in a complex noise environment. Therefore this paper suggest an image restoration filter algorithm that first judges the noise and sets a adjustment weight based on the median value and distance of the mask to remove the complex noise. For an objective analysis, the results were compared against existing methods and the PSNR(peak signal to noise ratio) was used as a reference.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.707-714
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• 2019

Recently, as the sensor network technologies and camera technologies develops, there are increasing needs by combining two technologies to effectively observe or monitor the areas that are difficult for people to access by using the visual sensor network. Since the applications using visual sensors take pictures of the outdoor areas, the images may not be well contrasted due to cloudy weather or low-light time periods such as a sunset. In this paper, we first model the color characteristics according to illumination using the characteristics of visual sensors that continuously capture the same area. Using this model, a new method for improving low contrast images in real time is proposed. In order to make the model, the regions of interest consisting of the same color are set up and the changes of color according to the brightness of images are measured. The gamma function is used to model color characteristics using the measured data. It is shown by experimental results that the proposed method improves the contrast of an image by adjusting the color components of the low contrast image simply and accurately.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.203-209
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• 2019

We will be establish the new $q(1{\leq}q{\leq}p-1)$ stores of firm $F_B$ to gain pop/(p+q) over rival firm $F_A$ that has already operate with p stores in a city of population pop. Han proposes inclusion-exclusion algorithm(IEA) that searches maximal pop top 5 location and select the maximum location take account of locate variation with increasing of $q=1,2,{\cdots},p-1$. This paper reduced the orignal graph into partial graph initially and search only q=1 node continually reduced in accordance with increasing $q=1,2,{\cdots},p-1$. If the final result is shown in the case of steel customer between q, the q locations farther separate in order to improve of solution. For the eleven experimental data, this algorithm is a relative simplicity and more optimal solution than Han's IEA.