• Title/Summary/Keyword: Network

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The Impact of The User's Social Characteristics of 5G Services on The Intention of Use (중국 5G 서비스의 사용자 사회적 특성이 사용의도에 미치는 영향)

  • Nie, Xin-Yu;Qing, Cheng-lin
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.63-68
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    • 2022
  • This After the debut of 5G, our lives have changed a lot. In particular, the proliferation of wireless network services through smartphones and LTE has completely changed the existing mobile communication services that are limited to voice/text communication between individuals and individuals, and new innovative services have emerged in all aspects of personal and corporate activities. This study verified the relationship between the social characteristics of 5G services and users' willingness to use 5G services. It analyzed the influence relationship between independent variables (social reality, subjective norms), media variables (perceived usefulness) and dependent variables (use intention), set hypotheses, and identified the media effects of perceived usefulness. The measurement items of variables are defined, and the research model of 5G service usage intention is designed. A questionnaire survey was conducted on the measurement items for users who have experience in using 5G services. Based on this result, among the social factors of users of 5G services, social reality and subjective norms are suitable factors to improve users' intentions. And through this research we put forward the enlightenment, discussed the limitations of the research and future research directions.

Super High-Resolution Image Style Transfer (초-고해상도 영상 스타일 전이)

  • Kim, Yong-Goo
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.104-123
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    • 2022
  • Style transfer based on neural network provides very high quality results by reflecting the high level structural characteristics of images, and thereby has recently attracted great attention. This paper deals with the problem of resolution limitation due to GPU memory in performing such neural style transfer. We can expect that the gradient operation for style transfer based on partial image, with the aid of the fixed size of receptive field, can produce the same result as the gradient operation using the entire image. Based on this idea, each component of the style transfer loss function is analyzed in this paper to obtain the necessary conditions for partitioning and padding, and to identify, among the information required for gradient calculation, the one that depends on the entire input. By structuring such information for using it as auxiliary constant input for partition-based gradient calculation, this paper develops a recursive algorithm for super high-resolution image style transfer. Since the proposed method performs style transfer by partitioning input image into the size that a GPU can handle, it can perform style transfer without the limit of the input image resolution accompanied by the GPU memory size. With the aid of such super high-resolution support, the proposed method can provide a unique style characteristics of detailed area which can only be appreciated in super high-resolution style transfer.

A Deep Learning-based Real-time Deblurring Algorithm on HD Resolution (HD 해상도에서 실시간 구동이 가능한 딥러닝 기반 블러 제거 알고리즘)

  • Shim, Kyujin;Ko, Kangwook;Yoon, Sungjoon;Ha, Namkoo;Lee, Minseok;Jang, Hyunsung;Kwon, Kuyong;Kim, Eunjoon;Kim, Changick
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.3-12
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    • 2022
  • Image deblurring aims to remove image blur, which can be generated while shooting the pictures by the movement of objects, camera shake, blurring of focus, and so forth. With the rise in popularity of smartphones, it is common to carry portable digital cameras daily, so image deblurring techniques have become more significant recently. Originally, image deblurring techniques have been studied using traditional optimization techniques. Then with the recent attention on deep learning, deblurring methods based on convolutional neural networks have been actively proposed. However, most of them have been developed while focusing on better performance. Therefore, it is not easy to use in real situations due to the speed of their algorithms. To tackle this problem, we propose a novel deep learning-based deblurring algorithm that can be operated in real-time on HD resolution. In addition, we improved the training and inference process and could increase the performance of our model without any significant effect on the speed and the speed without any significant effect on the performance. As a result, our algorithm achieves real-time performance by processing 33.74 frames per second at 1280×720 resolution. Furthermore, it shows excellent performance compared to its speed with a PSNR of 29.78 and SSIM of 0.9287 with the GoPro dataset.

Study of Smart Integration processing Systems for Sensor Data (센서 데이터를 위한 스마트 통합 처리 시스템 연구)

  • Ji, Hyo-Sang;Kim, Jae-Sung;Kim, Ri-Won;Kim, Jeong-Joon;Han, Ik-Joo;Park, Jeong-Min
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.8
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    • pp.327-342
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    • 2017
  • In this paper, we introduce an integrated processing system of smart sensor data for IoT service which collects sensor data and efficiently processes it. Based on the technology of collecting sensor data to the development of the IoT field and sending it to the network · Based on the receiving technology, as various projects such as smart homes, autonomous running vehicles progress, the sensor data is processed and effectively An autonomous control system to utilize has been a problem. However, since the data type of the sensor for monitoring the autonomous control system varies according to the domain, a sensor data integration processing system applying the autonomous control system to various different domains is necessary. Therefore, in this paper, we introduce the Smart Sensor Data Integrated Processing System, apply it and use the window as a reference to process internal and external sensor data 1) receiveData, 2) parseData, 3) addToDatabase 3 With the process of the stage, we provide and implement the automatic window opening / closing system "Smart Window" which ventilates to create a comfortable indoor environment by autonomous control system. As a result, standby information is collected and monitored, and machine learning for performing statistical analysis and better autonomous control based on the stored data is made possible.

An Empirical Study of effect how COO Factors impact on COO Performance in accordance with Origin Images (원산지 이미지에 따라 원산지 요인들이 원산지제도 성과에 미치는 영향에 관한 연구)

  • Kim, Chang-Bong;Hyun, Hwa-Jung
    • Korea Trade Review
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    • v.41 no.4
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    • pp.131-155
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    • 2016
  • Recently, the global trade environment has been composed of transactions in trade through integration of the global supply chain network. As FTAs are being signed between countries, the country of origin (COO) system on products has become an important issue. Companies are procuring raw materials through global sourcing and supplying to the retail markets. This research deducted major factors regarding the verification and utilization of the COO system through research on domestic and international literatures, and verified the mediating effects on the verification and utilization elements of the country image and the brand image of COO on the performance of the COO system through empirical study. For the purpose of this research, we conducted a survey implementing the COO system and analyzed the 152 data collected. The results of this research is as follows: First, the external verification level of the COO system has an impact on the performance of the COO system, and a mediating effect on the country image and the brand image of the COO. Second, the management capability of the COO has an impact on the performance of the COO system, and a mediating effect on the brand image of the COO. A research comparing and analyzing the difference in establishment of the verification system of the COO depending on the size of a corporation is necessary.

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An Empirical Study on the Effect of International Standard Certification Execution and CRM Satisfaction on Business Performance in B2B Transaction (B2B거래에서 국제표준인증 실행과 CRM만족도가 사업성과에 미치는 영향에 대한 실증적 연구)

  • Kim, Chang-Bong;Park, Sang-An;Jung, Jin-Young
    • Korea Trade Review
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    • v.42 no.2
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    • pp.319-344
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    • 2017
  • The international standard certification evaluates the extend to which the supplier satisfies the international standard certification standards of the supplier of the product and the service, recognizes the quality assurance ability and reliability of the supplier, thereby resolving the international trade regulation that can occur to various fields and strengthening the network of the global partnership it is making an important contribution. Therefor, in this study, the survey was conducted on 153 companies of Korean import and export companies. The research method was empirically analyzed by the structural equation model. The results of the hypothesis test of this study are as follows. First, resource management factors among the international standard certification factors in the global trade supply chain integration had a positive effects on CRM satisfaction. Second, the measurement, analysis and improvement factors of international standard certification factors had a positive effects on CRM satisfaction. Third, CRM satisfaction has a positive effects on business performance. Through this study, it is concluded that the Korean import and export companies have an important role in improving the business performance of the global trade partners.

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The Study of the Correlation between Media Art Creative City and Local festival - with Lyon, Sapporo, Linz as the central figure - (미디어아트 창의도시와 지역축제의 연관성 연구 - 리옹, 삿포로, 린츠를 중심으로 -)

  • Jeong, Hye Young;Kim, Kyoung Soo
    • Korea Science and Art Forum
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    • v.24
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    • pp.399-409
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    • 2016
  • This study's purpose is to research the correlation between property and the major festivals with media art of exemplary 3 cities among 8 Unesco Media Art Creative Cities. As a result, it is drawn a conclusion that the below strategies are necessary to achieve success for Unesco Media Art Creative City. First, from the Creative City's point of view, on the basis of the maximization of various merits such as history, natural surroundings, and human resources of the city, it is necessary to reconcile a vision of the city and an identity of Media Art Creative City, and to seek for continuous growth of the city by consistency and durability of control tower within the local government. Second, from the local festival's point of view, it is necessary to provide a differentiated service in the existing media art festivals, to attract the fusion of media art and festivals, and the diversification and the popularization of media art programs. And, it needs to lead to involvement of young people with the fusion of on-line and off-line festivals, the fusion of analogue and digital festivals. In the conclusion, for the successful constructing of Media Art Creative City, it is necessary to maximize the merits of the city's own, to enhance the image for Media Art Creative City with the correlation between the merits and media art, and to differentiate the city's own various festivals, ant the same time, to converge them with media art technology. With these strategies, the local festival can make a new leap for global festival when it constitutes a whole with Media Art Creative City.

Managing the Reverse Extrapolation Model of Radar Threats Based Upon an Incremental Machine Learning Technique (점진적 기계학습 기반의 레이더 위협체 역추정 모델 생성 및 갱신)

  • Kim, Chulpyo;Noh, Sanguk
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.4
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    • pp.29-39
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    • 2017
  • Various electronic warfare situations drive the need to develop an integrated electronic warfare simulator that can perform electronic warfare modeling and simulation on radar threats. In this paper, we analyze the components of a simulation system to reversely model the radar threats that emit electromagnetic signals based on the parameters of the electronic information, and propose a method to gradually maintain the reverse extrapolation model of RF threats. In the experiment, we will evaluate the effectiveness of the incremental model update and also assess the integration method of reverse extrapolation models. The individual model of RF threats are constructed by using decision tree, naive Bayesian classifier, artificial neural network, and clustering algorithms through Euclidean distance and cosine similarity measurement, respectively. Experimental results show that the accuracy of reverse extrapolation models improves, while the size of the threat sample increases. In addition, we use voting, weighted voting, and the Dempster-Shafer algorithm to integrate the results of the five different models of RF threats. As a result, the final decision of reverse extrapolation through the Dempster-Shafer algorithm shows the best performance in its accuracy.

Study on security framework for cyber-hacking control facilities (제어시설 사이버공격 대응을 위한 사이버보안 프레임워크 (Framework) 연구)

  • Lee, Sang-Do;Shin, Yongtae
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.4
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    • pp.285-296
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    • 2018
  • Among many hacking attempts carried out in the past few years, the cyber-attacks that could have caused a national-level disaster were the attacks against nuclear facilities including nuclear power plants. The most typical one was the Stuxnet attack against Iranian nuclear facility and the cyber threat targeting one of the facilities operated by Korea Hydro and Nuclear Power Co., Ltd (Republic of Korea; ROK). Although the latter was just a threat, it made many Korean people anxious while the former showed that the operation of nuclear plant can be actually stopped by direct cyber-attacks. After these incidents, the possibility of cyber-attacks against industrial control systems has become a reality and the security for these systems has been tightened based on the idea that the operations by network-isolated systems are no longer safe from the cyber terrorism. The ROK government has established a realistic control systems defense concept and in the US, the relevant authorities have set up several security frameworks to prepare for the threats. This paper presented various cyber security attack cases and their scenarios against control systems, along with the analysis of countermeasures for them. Though this task, we attempt to identify the items that need to be considered when designing a domestic security framework to improve security and secure stability.

Improvement of Encoding Detection Algorithm for Multi-byte Encoded Data with Errors (오류가 발생한 멀티바이트 인코딩 데이터의 인코딩 기법 판별 알고리즘 개선)

  • Bae, Junwoo;Kim, Seonbeom;Park, Heejin
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.2
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    • pp.18-25
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    • 2017
  • In computer science, an encoding is a standardization of converting information to one format for audio, video or text. Therefore, the encoding information of the data should be known to open and read it and there are algorithms detecting encoder of the data. However, some informations of data could be disappeared by packet loss when transmitted on network, especially, if the data is snatched by packet sniffing or eavesdropping from wireless communications. In this paper, we improve the performance of encoding detection algorithm of 'uchardet' program for multi-byte encoded data with errors based on bit-shift algorithm. To simulate the performance, we generated Korean and Japanese text data with errors that is removed some random bits at random positions. Then the detection algorithm are tested using the data and 'uchardet-bitshift' showed better performance than 'uchardet'. When Korean texts are used, 'uchardet' could detect perfectly with ≤0.005% errors but it showed 0% detection rate with ≥1% errors while 'uchardet-bitshift' detected perfectly with ≤0.05% errors and it showed correct detection cases with ≥1% errors. Japanese texts with errors tend to report falsely as Chinese encoding because Japanese texts include lots of Chinese characters. As a results, we improved encoding detection algorithms by applying bit shift operation.