• International Commerce and Information Review
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• v.12 no.1
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• pp.179-202
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• 2010

Broadcasting services sector has been facing strong public pressure to shift gears from regulation to deregulation since mid-1990s, where a triggering role was played particularly by rapid development of IT technology and content digitization. Major agenda was how to reduce regulatory divides between more liberal telecommunication sector and less liberal broadcasting. After all, common solution package worldwide was for the latter to switch over from network-dependent(vertical) to network-independent(horizontal) regulation, and to facilitate more open and competitive transmission with content market kept protected. This is no other than decoupling content provision from broadcasting and promoting market access towards the latter. Policy experiences of US and UK show that there exists a complementary relationship between quantitative and qualitative restrictions in implementing such deregulation. While mitigating quantitative ownership regulations in broadcasting, they also sought to systematize, so-called, PIT(public interest test) as a qualitative safety device to cope with the risk of losing fundamental public values accordingly in broadcasting. Recent domestic progress in broadcasting legislation in 2009, however, seems to overlook the growing importance of PIT in the process of deregulation. Bearing this motivation in mind and taking account of the relevant WTO disciplines, this paper is to address policy issues and suggestions for PIT in Korea's broadcasting services sector.

• Journal of Distribution Science
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• v.9 no.2
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• pp.25-30
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• 2011

Transport is animportant sector of government regulation. Every country has its own transport policy, but European countries are evolving a common transport policy, which has a long history. The establishment of a consistent common policy in the EU's transport sector is still underway. The key motivations of this policy are 1) to establish and implement a common transport policy, 2) to clarify the concept of sustainability in the transport sector, and 3) to integrate transport services into a common infrastructure. One of the policy's objectives is the progressive movement towards sustainable development in the transport section. The EU'stransport policy has recognised that intermodality is a very important competitive tool. The EU's policy thrustin intermodal transport can be catergorised into infrastructure, technology, and standards and rules. However, obstacles to success can be detected. Cases like that of TEN-T and Marco Polo illustrate European intermodal policies in practice. As regards sustainability in the transport sector, intermodality can be an alternative solution to the increasing imbalance between transport modes and congestion arising from increased road use. Sustainability has been emphasised by the EU, which aims to establish intermodality in its future alternative transport systems while fostering sustainable development in the transport sector. Therefore, intermodality can be defined as a general trend in the current transport market, drawing interest from public institutions and transport-related market players. The EU has thus made an effort to facilitate intermodality in its territory, materialised through various policy options. Therefore, looking into the EU's intermodal transport policies is worthwhile, as doing so can provide useful lessons for all concerned parties.

• The Journal of Information Systems
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• v.27 no.3
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• pp.123-140
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• 2018

Purpose The purpose of this study is to explore the optimal trading frequency which is useful for stock price prediction by using deep learning for charting image data. We also want to identify the appropriate time for accurate forecasting of stock price when performing pattern analysis. Design/methodology/approach In order to find the optimal trading frequency patterns and forecast timings, this study is performed as follows. First, stock price data is collected using OpenAPI provided by Daishin Securities, and candle chart images are created by data frequency and forecasting time. Second, the patterns are generated by the charting images and the learning is performed using the CNN. Finally, we find the optimal trading frequency patterns and forecasting timings. Findings According to the experiment results, this study confirmed that when the 10 minute frequency data is judged to be a decline pattern at previous 1 tick, the accuracy of predicting the market frequency pattern at which the market decreasing is 76%, which is determined by the optimal frequency pattern. In addition, we confirmed that forecasting of the sales frequency pattern at previous 1 tick shows higher accuracy than previous 2 tick and 3 tick.

• The Journal of Information Technology
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• v.2 no.2
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• pp.23-34
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• 1999

The computer industry has come to the generation of personal computer. The organization of the existing industry has the distinct boundary among companies in vertically integrated companies, produce whole assembled system, and compete in the part of hardware, operating system, and its related software based on theirselves design. Then according to keep the distinct monopolized architecture of industry, the enterprises only centralized on developing the monopolistic market and sharing the static market rather than competition and compatibility with other system. The horizontal distribution in small part industry is occurring, by the times of personal computer, and the companies of personal computer have coming into free competition with parts standardization and the open architecture of system. This paper suggests a reasonable model of industry under horizontal structure with analyzing the above phenomenon.

• Elastomers and Composites
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• v.52 no.1
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• pp.48-58
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• 2017

Thermoplastic elastomers (TPEs), a unique class of polymers, combine the processing ease of thermoplastics with the advanced properties of thermoset rubbers. TPEs can be remelted several times without any significant loss of properties, and can be molded into complex shapes using conventional processing equipment. Due to their characteristics, TPEs are ideal for use in a variety of applications in the automotive field. Although the TPE market of the Republic of Korea is currently at its niche, the increasing manufacturing push from major companies is expected to open up multiple opportunities for these products in the automotive sector. This manuscript highlights a detailed technological trend of the global automotive thermoplastic elastomers market.

• Journal of Fashion Business
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• v.20 no.2
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• pp.16-31
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• 2016

This study analyzed cases that applied hologram technology in the fashion industry in order to provide basic information for research on fashion marketing using hologram technology. The results of this study are as follows. A hologram was applied to fashion businesses in various ways including fashion shows, outdoor signboards, hologram windows or screens in stores, and launching shows or exhibitions. Most of these cases were foreign fashion brands, which utilized hologram technology actively for formulating a new brand image or for advertising products. Among Korean brands, however, there are not many cases of hologram application. Today, as-being the age of smart devices, the mobile advertisement market is growing rapidly among smart phone users. DKNY and Puma are providing information on styling through smart phone applications, and the Adidas stores in Germany also allow the customers to buy goods by entering a simple code through the smart phone. Recently, new devices are being introduced one by one, which display 2D digital contents in 3D holograms by combining mobile and hologram technologies. The marketing of fashion products is not just for supplying products but is required to satisfy the consumers' five senses. Therefore, the development of experiential contents based on the combination of mobile and hologram technologies will open new potential for profitable business models.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.915-925
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• 2020

The purpose of the research is to analyze the behavioral intention to adopt social media in SMEs affected by the COVID-19 crisis, based on the TOE Model. This study uses the TOE framework as a theoretical basis. This research is important because COVID-19 has destroyed most of the SMEs, and SMEs are exposed to social media technology to market their products. The success of social media adoption has helped SMEs to be able to rise from adversity. Respondents in this study were 250 SMEs in the Special Region of Yogyakarta, Indonesia. The data analysis technique used is structural equation modeling with AMOS. The results of this study indicate that SMEs affected by the COVID-19 crisis have a high awareness of social media and have a high intention to adopt social media as a way to market their products and connect with customers. The intention to adopt social media is significantly influenced by the technological context, organizational context, environmental context, and social media awareness. The findings of this study suggest that in times of crisis due to the COVID-19 pandemic, the Government support is needed. The Government needs to open services for SMEs whose businesses are affected by the pandemic.

• The Journal of Fisheries Business Administration
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• v.30 no.1
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• pp.77-96
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• 1999

Since the onset of its economic reform and the open door policy in the late 1970s, China's overall economic growth rate has been continuing about 10% per year. The marine sector is not allowed exception, aquatic products increased sharply from 4.66 million MT in 1978 to 36.02 million MT in 1997, and then China is remained the largest producing country in the world aquatic market and her role would be expanded. Korea having a common boundaries to China is subjected unescapably both in domestic and export markets by the influence of the remarkable growth of China's aquatic products. If China were admitted entrance of WTO(World Trade Organization)in the near future, her influence is getting more serious. Well, we are necessary to understand the characteristics of China's aquatic products and to review fishery policies implemented by the China government. This paper is organized into two major parts, the one includes the structural changes of aquatic products, fishing and cultivating in the coast, latent and estimated production in China, and the other includes the main contents of fishery policies and measures of government administration. A characteristic of China's aquatic products is that cultivated production, especially, shellfish outputs continues to rapid increase. The major means of administration are an execution of fishing license system and setting up no-fishing zone and closed season for fishery. China is no longer a marginal player in international economic and world aquatic market. So, we will not only understand China's aquatic conditions and problems, but will also see the usefulness in continuing the cooperative relationship for a long time to come.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.51-57
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• 2017

Digital signage is becoming part of daily life across a wide range of visual advertisements segments market used in stations, hotels, retail stores, hotels, etc. The current digital signage system used in market is generally works on limited user interactivity with static contents. In this paper, a new approach is proposed using computer vision based dynamic audience adaptive cost-effective digital signage system. The proposed design uses the Camera attached Raspberry Pi Open source platform to employ the real-time audience interaction using computer vision algorithms to extract facial features of the audience. The real-time facial features are extracted using Haar Cascade algorithm which are used for audience gender specific rendering of dynamic digital signage content. The audience facial characterization using Haar Cascade is evaluated on the FERET database with 95% accuracy for gender classification. The proposed system, developed and evaluated with male and female audiences in real-life environments camera embedded raspberry pi with good level of accuracy.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.357-363
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• 2017

The Linux operating system, considered to be a subset of the UNIX operating system, is becoming the backbone of the enterprise server market and is seen as the key to building cloud computing and big data infrastructures. Linux has a variety of Linux distributions due to the fact that the source is open and anyone can freely modify and distribute it. First of all, Linux dominated the server market, the emergence of various distributions dominates the desktop and mobile operating system markets. In this paper, we examine the birth and history of Linux and classify and characterize various Linux distributions. The emergence of various Linux distributions will play a pivotal role in the Internet of Things and will further expand their power.