• Korean Journal of Computational Design and Engineering
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• v.13 no.4
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• pp.265-272
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• 2008

The flow of technology is going to human-oriented direction, from the time when the computer was first invented, to now where new computing environment using mobile and global network are everywhere. On that technology flow, ubiquitous is being suggested as new paradigm of computing environment. Augmented Reality is one of ubiquitous technologies that provide the interactions between human and computer. By adding computer-generated information to real information and their interaction, user can get the improved and more knowledgeable information about real world. The purpose of this paper is to show the possibility of applying vision based augmented reality to maintenance of product system.

• Journal of Korean Society of Disaster and Security
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• v.5 no.1
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• pp.13-19
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• 2012

This paper introduces platform of platform (POP) for global network on climate adaptation change and disaster risk reduction (CCA/DRR). The POP consists of disaster prevention technology e-market platform, e-learning platform, information sharing platform, and monitoring platform for AMCDRR action plan. The POP is developing based on Korean e-Government standard framework and supports Web and mobile service. Additionally the POP uses special product and technology to search and classify data about CCA/DRR.

• The Journal of Information Technology
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• v.1 no.2
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• pp.163-180
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• 1998

As the Internet empowers citizens and democratizes societies, it is also changing classic business and economic paradigms. New models of commercial Interaction are developing as businesses and consumers participate in the electronic marketplace and reap the resultant benefits. Entrepreneurs are able to start new businesses more easily, with smaller up-front investment requirements, by accessing the Internet's worldwide network of customers. Internet technology is having a profound effect on the global trade in services. World trade involving computer software, entertainment products(motion pictures, videos, games, soul)d recordings), information services(databases, online newspapers), technical information, product licenses, financial services, and professional services(businesses and technical consulting, accounting, architectural design, legal advice, travel services, etc.) has grown rapidly in the past decade.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.954-957
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• 2007

The u-SCM to persue unification of the whole Supply Chain through ubiquitous computing and technical interface is raised its head for enterprise to secure endless competitive advantage and grow up constantly. This can be especially a matter of primary concern for business process elevation on various industry. The other side, The Traceability Service propelled both nationally and internationally is propelled specific industry to offer visibility and traceability of each manufacture on supply chain related to induce RFID, but standard Traceability Service Architecture isn't decided yet. This paper propose Model of Product Traceability Service which is based on EPCglobal Network to be the whole world standard architecture for the sake of efficient and perfect manufacture management on entire supply chain based on RFID.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1377-1393
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• 2023

Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.87-107
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• 2016

Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.1-12
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• 2009

An RFID application needs to collect product's information scattered over the RFID network efficiently according to the globalization of RFID applied enterprises. To be informed of the stock status of products promptly in the supply chain network, especially, it is necessary to support queries that retrieve statistical information of tagged products. Since existing RFID network does not provide these kinds of queries, however, an application should request a query to several RFID middleware systems and analyze collected data directly. This process makes an application do a heavy computation for retrieving statistical information. To solve this problem, we define a new Distributed Continuous Query that finds information of tagged products from the global RFID network and provides statistical information to RFID applications. We also propose a Distributed Continuous Query System to process the distributed continuous query efficiently. To find out the movement of products via multiple RFID systems in real time, our proposed system uses Pedigree which represents trade information of items. Our system can also reduce the cost of query processing for removing duplicated data from multiple middleware systems by using Pedigree.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.209-214
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• 2014

Despite the recession of the global market, the domestic electronic appliance companies dominated TV market in North America. They took both the premium and mid-priced product market and achieved both profitability and volume due to strong product competitiveness and brand power. Despite doing well in the North American market, the domestic TV manufacturers are worried about product development, marketing and sales strategies to remain the continuous competitiveness in the TV market. This study proposes the a sales prediction model of electronic appliances using sales data of S company from the North American market. We develop the sales prediction models based on multiple regression analysis and artificial neural network and compare two models. Especially, this study analyzes the relevance between the TV sales and TV main features in order to improve the price competitiveness or improve the value of TV products.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.576-606
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• 2017

It is more salient in the high-tech industry to cooperate even among competitors in order to promptly respond to the changes in product architecture. In this sense, 'co-opetition,' which is the combination word between 'cooperation' and 'competition,' is the new business term in the strategic management and represents the two concepts "simultaneously co-exist." From this view, this study set up the research purposes as follows: 1) investigating the corporate managerial and technological behavioral characteristics in the co-opetition of the global display industry. 2) verifying the emerging factors during the co-opetition behavior hereafter. 3) suggesting the strategic direction focusing on the co-opetition behavioral characteristics. To this end, this study used co-word network analysis to understand the structure in context level of the co-opetition. In order to understand topics on each network, we clustered the keywords by community detection algorithm based on modularity and labeled the cluster name. The results show that there were increasing patterns of competition rather than cooperation. Especially, the litigations for mutual control against Korean firms much more severely occurred and increased as time passed by. Investigating these network structure in technological evolution perspective, there were already active cooperation and competition among firms in the early 2000s surrounding the issues of OLED-related technology developments. From the middle of the 2000s, firm behaviors have focused on the acceleration of the existing technologies and the development of futuristic display. In other words, there has been competition to take leadership of the innovation in the level of final products such as the TV and smartphone by applying the display panel products. This study will provide not only better understanding on the context of the display industry, but also the analytical framework for the direction of the predictable innovation through analyzing the managerial and technological factors. Also, the methods can support CTOs and practitioners in the technology planning who should consider those factors in the process of decision making related to the strategic technology management and product development.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.83-103
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• 2016

This paper examines the characteristics of structural change in the international agro-food trade network with a global trend of the FTA diffusion. By focusing on the centralities and the community structure to identify the agro-food trade network, we use the social network analysis and the trade data contained of 07, 08, 20, and 21 at the 2-digit HS product level among 45 countries over the last 15 years. The main analytical results are as follows: 1) Not only has intra trade network intensified more than inter-regional trade, but also, there is no doubt that inter-regioanl trade by linking has steadily increased. 2) EU countires have the high indices of centrality, which have already been highly integrated. 3) Intraregional agro-food trade network for fresh vegetables and processed food sector in Asia is shown to be strongly integrated. This finding suggests that the processes of economic integration will help strengthen the trade network for agro-food in a culturally homogeneous region. 4) The case of Korea's participation in the RCEP and TPP, Korea's power in the agro-food network tends to be reinforced, especially in the processed food sector. Overall, there is a need for establishment of spatial strategies and policies across the different regions for Mega FTAs.