• Journal of the Korea Safety Management & Science
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• v.3 no.3
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• pp.143-149
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• 2001

With the development of computer technologies and the increase of internet users, Internet plays an important role in job-recruitment business. However, almost of the sites which provide job offering and job hunting service, merely have the function such as simple inquiry for information corresponding to job offering and job hunting. In this research, the online website whose task is supporting whole procedure of recruitment for real enterprises is constructed to apply the interview procedures of the real enterprises through internet. We utilize the video conference to increase the reality for interview. Also it has functions such as presentation of application form and resume and self introduction using the video conference. Through the online recruitment website we can expect time and cost saving for recruitment for both sides of enterprise to hunt the person and people to seek the job.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.88-93
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• 2019

This study explores one of charity drive contents on YouTube channel. Due to the advance of science and technology, ordinary people come to make their own video content online, usually via YouTube. YouTube becomes number one online video storage/streaming platform, and many people upload their own video and they get attention and fame. This study analyzes various aspects of Shoot for Love, soccer-based charity drive videos shown on YouTube channel created in South Korea. Unlike popular videos in YouTube, Shoot for Love centers on charity by casting popular soccer players and celebrities. Especially, this study researches 1) Components 2) Traits of Components 3) Contents of Components in Shoot for Love. Throughout this, it not only analyzes unique aspects of Shoot for Love that show how and why YouTube content matters, but also suggest plausible methods to drive charity and institution are suggested that appeal to the public.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.84-92
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• 2019

While the Internet continues to integrate with modern lives, the risks of negative outcomes resulting from problematic use (PU) are also increasing. Although psychological well-being and use motivations have been shown to play major roles in Internet PU, understanding the moderating mechanism is critical for advanced knowledge. The present study employed survey data from users of a live video-game streaming service (LVGS) that is an area rarely been studied. Result concluded a positive moderating effect of escapism motive (EM) on the association between loneliness and the PU of LVGS, while the moderating mechanism between EM and stress was not indicated. A moderating effect of information seeking (IS) on the relationship between stress and the PU of LVGS was found negative, but no mechanism between IS and loneliness was indicated. This study highlights how the interplay of different motivation and pathologies may induce or prevent video-game-related addiction.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.713-715
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• 2022

Video learning through YouTube has emerged as one of the most widely used instructional methods, yet relatively little research has been conducted on YouTube video users' willingness to use or behavior, so it is important to examine how to make and keep users' willingness to continue learning and to improve their retention rate for effective online learning. With reference to perceived value theory and utilizing an ECM perspective, the authors construct a model of YouTube video continuous learning intention and investigate the influence of perceived value and satisfaction on users' willingness to use YouTube videos for continuous learning.

• Journal of Engineering Education Research
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• v.23 no.6
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• pp.60-67
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• 2020

This study was conducted to understand the experiences of engineering college professors teaching classes online due to COVID-19. Instructional strategies were proposed based on these results. This study qualitatively analyzed interviews of four engineering college professors who switched from teaching classes offline to teaching them online in the first semester of 2020. The results showed that the professors had difficulties in creating video content, interacting with students, and conducting online assessments. The results also showed that the professors had difficulties in switching to online teaching. This study was significant in that it produced empirical data about online teaching based on the experiences of engineering college professors teaching classes online.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.141-146
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• 2022

In modern educational practices, the issue of dependence on the experience of using multimedia by students and the adoption of technologies in education, the perception of their benefits and effectiveness in blended learning is little covered. The purpose of the academic paper lies in assessing the audiovisual context of multimedia technologies, its acceptance by students in practice on the example of using video lectures in blended learning. The methodology is based on an online survey of 120 students of Ukrainian universities who have assessed the experience level in using video lectures, as well as the constructs as follows: Technology Characteristics, Fit, Perceived Usefulness, Perceived Ease of Use, Attitude, Intention to Use, Actual Use. The results show that the majority of students use video lectures to a certain extent in their training (20,8% have used technology to a certain extent, 49,2% have often used technology in training, 20% are regular users of technology). It has been revealed that most students agree with the relevance of video lectures, the accuracy of lectures, the brevity of lectures, the clarity of lectures, as well as the high quality of lecture videos. It has been estimated that 42,5% believe that lecture videos are an effective tool towards supporting students in hybrid learning. 26,7% of students consider video lectures to be appropriate technologies for online / hybrid courses. In general, 37,5% of respondents find video lectures useful; however, 35,0% do not agree with this statement. 83,3% of students have rated the high level of ease of access to video. In total, 95% of students find lecture videos easy to use. In general, positive attitude of students to video lectures has been revealed.

• Proceedings of the Korea Database Society Conference
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• 1997.10a
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• pp.319-334
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• 1997

불과 2년 전만 하더라도 인터넷에서 오디오 또는 비디오 데이터를 감상하기까지 일련의 과정은 그 데이터의 물리적인 양과 전달방식에 있어서 이용자들에게 많은 인내력을 요구해 왔다. 이에 대한 해결책으로 관련업계에서는 real-time streaming 기술을 도입하여 각종 비디오와 오디오 데이터 전송에 관련기술을 적용시킴으로서 실시간 비디오/오디오 서비스 이용을 용이하게 하려는 움직임이 활발히 진행되어 왔었다.(중략)

• Nuclear Engineering and Technology
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• v.54 no.4
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• pp.1153-1160
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• 2022

The application of video processing techniques are useful for the safety of nuclear power plants by tracking the people online on video to estimate the dose received by staff during work in nuclear plants. Nuclear reactors remotely visually controlled to evaluate the plant's condition using video processing techniques. Internal reactor components should be frequently inspected but in current scenario however involves human technicians, who review inspection videos and identify the costly, time-consuming and subjective cracks on metallic surfaces of underwater components. In case, if any frame of the inspection video degraded/corrupted/missed due to noise or any other factor, then it may cause serious safety issue. The problem of missing/degraded/corrupted video frame estimation is a challenging problem till date. In this paper a systematic literature review on video processing techniques is carried out, to perform their suitability analysis for NPP applications. The limitation of existing approaches are also identified along with a roadmap to overcome these limitations.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.316-326
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• 2022

The prompt development in the field of video is the outbreak of online services which replaces the television media within a shorter period in gaining popularity. The online videos are encouraged more in use due to the captions displayed along with the scenes for better understandability. Not only entertainment media but other marketing companies and organizations are utilizing videos along with captions for their product promotions. The need for captions is enabled for its usage in many ways for hearing impaired and non-native people. Research is continued in an automatic display of the appropriate messages for the videos uploaded in shows, movies, educational videos, online classes, websites, etc. This paper focuses on two concerns namely the first part dealing with the machine learning method for preprocessing the videos into frames and resizing, the resized frames are classified into multiple actions after feature extraction. For the feature extraction statistical method, GLCM and Hu moments are used. The second part deals with the deep learning method where the CNN architecture is used to acquire the results. Finally both the results are compared to find the best accuracy where CNN proves to give top accuracy of 96.10% in classification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.11
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• pp.5392-5418
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• 2017

The primary aim of this paper is to propose a non-linear regression based technique for mapping different network Quality of Service (QoS) factors to an integrated end-user Quality of Experience (QoE) or Mean Opinion Score (MOS) value for an online video streaming service on a mobile phone. We use six network QoS factors for finding out the user QoE. The contribution of this paper is threefold. First, we investigate the impact of the network QoS factors on the perceived video quality. Next, we perform an individual mapping of the significant network QoS parameters obtained in stage 1 to the user QoE based upon a non-linear regression method. The optimal QoS to QoE mapping function is chosen based upon a decision variable. In the final stage, we evaluate the integrated QoE of the system by taking the combined effect of all the QoS factors considered. Extensive subjective tests comprising of over 50 people across a wide variety of video contents encoded with H.265/HEVC and VP9 codec have been conducted in order to gather the actual MOS data for the purpose of QoS to QoE mapping. Our proposed hybrid model has been validated against unseen data and reveals good prediction accuracy.