• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1507-1516
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• 2004

Recently, the most remarkable word is 'ubiuuitous' in field of information and communication. Ubiquitous has a meaning 'exist everywhere' that means our daily life is connect as network. It means we can get the information which in need whenever and wherever with safety. We predict this word will be symbolical keyword which lead an information-oriented society including the internet a quite long it. It's already per-meate to us the Ubiquitous. It's taken by CCTV when we visit bank. It's made to us can know the fastest way the GPS system to be connected by an artificial satcllite on mobile, and many people use mobile and PDA for investment in stocks. Among them, it has begun to spread many mobile services to us. In this paper, it's the aim a creation of value added through an efficient mobile services to use wireless internet different with previous way, cutting down on expenses and business modeling.

• International Commerce and Information Review
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• v.3 no.2
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• pp.261-280
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• 2001

From the IMF(International Monetary fund) crisis, the management conditions of the trading company which run business in world market, has rapidly changed. In particular, the trading conglomerate's competitive power have declined. This study, addressing such changes, intend to analyze what factors are that have generated this changes in trading conglomerate's environment. The study specifically takes it into account that the differences between Korea trading company and Japan's. This research was confirmed by data and field survey in two country. The results of research are summarized as follow. The Korean trading company are inferior to the Japanese trading company in total volume(Korea: 24.1, Japan 100), the benefit volume(Korea: 8.7, Japan 100), the stability of turnover(Korea: 36.6, Japan 100), the network power in foreign country(Korea: 19.2, Japan 100), the power of e-business(Korea: 17.0, Japan 100). But the debt ratio of Korea company is significantly lower than that of Japan's(Korea: 160.4%, Japan 940.5%). In conclusion, providing that the Korean trading company want to be a world-class champion in trading field, they have to introduce the new management strategies which means the high-profit base trading, the long term investment and the internet business.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.224-234
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• 2005

As the network-related technology develops the number of both Internet users and the usage are explosively increasing. The networking traffic is increasing in the campus as the networking system inside universities, following the trend, adds more nodes and various networking services. Nonetheless, the quality of services for users has been degraded. Accordingly, core problems, which can cause troubles for network management, design and expansion of the network, and the cost policy, has appeared. To effectively cope with the problems with analyses a great number of technicians, tools, and budget are needed. However, it is not possible for mid and small-sized colleges to spend such a high expenditure for professional consulting. To reduce the cost and investment creating the optimized environment, the analyses on the replacement of the tools, changing the network structure, and performance analysis about capacity planning of networking is necessary. For this reason, in this paper, framework-based performance management tools are used for all steps that are related to the subject of the analysis for the network management. As the major research method, the current data in detailed categories are collected, processed, and analyzed to provide the solution for the problems. As a result we could manage the network, server, and application more systematically and react efficiently to errors and degrading of performance that affect the networking tasks. Also, with the scientific and organized analyses the overall efficiency is upgraded by optimizing the cost for managing the operation of entire system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.27-40
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• 2016

This paper aims to analyze the business types of 237 IoT based smart home companies in the world (launched during 1999~2014) which got global investment last few years. For this, the previous literatures trying to analze technology and service types of smart home are searched and the typology of the platform is discussed. Based on it, this research conceptualizes an analysis framework that includes three areas of smart home like home automation, home security, and energy efficiency with the three platform types like product, software, and service. This study concludes that the development of business type for IoT based smart home ecosystem is from the product to software and it can be a platform or not. In current status, there are a few platforms of product and software, but in the device management (16%) and thermostat (11%), companies are persuing more platform like. It is difficult to find the service platform in overall areas, for application based service has a few attractions in the investment market due to the lack of cloud infrastructure and data analytics. The following three are the implication to domestic market: 1) More active offering of API and SDK, 2) more active introduction of wireless Intenet network protocols, and 3) more active interoperability efforts and alliance activities are needed.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.81-96
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• 2016

As the internet has become widespread and easy to access everywhere, it is common for people to search information via online search engines such as Google and Naver in everyday life. Recent studies have used online search volume of specific keyword as a measure of the internet users' attention in order to predict disease outbreaks such as flu and cancer, an unemployment rate, and an index of a nation's economic condition, and etc. For stock traders, web search is also one of major information resources to obtain data about individual stock items. Therefore, search volume of a stock item can reflect the amount of investors' attention on it. The investor attention has been regarded as a crucial factor influencing on stock price but it has been measured by indirect proxies such as market capitalization, trading volume, advertising expense, and etc. It has been theoretically and empirically proved that an increase of investors' attention on a stock item brings temporary increase of the stock price and the price recovers in the long run. Recent development of internet environment enables to measure the investor attention directly by the internet search volume of individual stock item, which has been used to show the attention-induced price pressure. Previous studies focus mainly on Dow Jones and NASDAQ market in the United States. In this paper, we investigate the relationship between the individual investors' attention measured by the internet search volumes and stock price changes of individual stock items in the KOSDAQ market in Korea, where the proportion of the trades by individual investors are about 90% of the total. In addition, we examine the difference between industries in the influence of investors' attention on stock return. The internet search volume of stocks were gathered from "Naver Trend" service weekly between January 2007 and June 2015. The regression model with the error term with AR(1) covariance structure is used to analyze the data since the weekly prices in a stock item are systematically correlated. The market capitalization, trading volume, the increment of trading volume, and the month in which each trade occurs are included in the model as control variables. The fitted model shows that an abnormal increase of search volume of a stock item has a positive influence on the stock return and the amount of the influence varies among the industry. The stock items in IT software, construction, and distribution industries have shown to be more influenced by the abnormally large internet search volume than the average across the industries. On the other hand, the stock items in IT hardware, manufacturing, entertainment, finance, and communication industries are less influenced by the abnormal search volume than the average. In order to verify price pressure caused by investors' attention in KOSDAQ, the stock return of the current week is modelled using the abnormal search volume observed one to four weeks ahead. On average, the abnormally large increment of the search volume increased the stock return of the current week and one week later, and it decreased the stock return in two and three weeks later. There is no significant relationship with the stock return after 4 weeks. This relationship differs among the industries. An abnormal search volume brings particularly severe price reversal on the stocks in the IT software industry, which are often to be targets of irrational investments by individual investors. An abnormal search volume caused less severe price reversal on the stocks in the manufacturing and IT hardware industries than on average across the industries. The price reversal was not observed in the communication, finance, entertainment, and transportation industries, which are known to be influenced largely by macro-economic factors such as oil price and currency exchange rate. The result of this study can be utilized to construct an intelligent trading system based on the big data gathered from web search engines, social network services, and internet communities. Particularly, the difference of price reversal effect between industries may provide useful information to make a portfolio and build an investment strategy.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.1-19
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• 2011

Following the growth of e-Business, there has been a recent increase of interest in promoting Social Business (s-Business) based on Social Network Service(SNS). As the introduction of the Internet brought about the increasing number of its users followed by the growing market of e-Commerce, online games, and e-Learning, the increasing number of SNS users has opened the new markets combining the existing industrial fields with SNS, and it developed into a revenue model beyond the mere sharing of information. Despite such industrial and social environments, understanding of new social business technology from the aspect of business has been insufficient, and the empirical study on participation in the social business has been scant as well. Thus, the main purpose of this study is to investigate the s-Business in detail and to study the factors giving influence to the users' participation in s-Business. This study proposes six variables(Self-Empowerment, Job Relevance, Formation of Social Capital, Relative Advantage, Shared Value, Relationship Specified Investment) and the moderating effects of Psychological Contract as influential factors closely related with s-Business. A total of 362 data from a survey were analyzed by using Structural Equation Modeling(SEM). Result showed that all factors with the exception of Job Relevance have meaningful influence on the intention to participate in s-Business. The implication of the findings suggests to compliment limitations of the existing researches, and to prepare the theoretical foundation for promoting s-Business participation in addition to further suggesting directionality from the view point of the users of the social business-relevant studies.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.2
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• pp.315-328
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• 2004

After M. Porter proposed the concept of industrial cluster, a lot of academic papers and industry surveys have suggested that industrial cluster is the key factor to competitive edge and long-term economic growth. Industrial cluster is often defined as geographical concentrations of interconnected entities in a particular industrial field. And the agglomeration economy is regarded the key factor of developing the industrial clusters. The industrial clusters often have been growing over the territory of local governments. Therefor, the institutes supporting the industrial clusters and the companies in great-sphere level is required. The purpose of this paper is for comparing and analysing the institutes supporting the industrial clusters and the companies in great-sphere level including various local governments. As the result of this research, four types of the cooperative industrial supporting systems among various local governments are divided: 1. inducing foreign direct investment into domestic area by regional development agency, 2. co-developing research parks or industrial parks by some local governments, 3. taking regional industrial statistics and writing development strategies over the boundary of the local governments, 4. constructing internet portal sites networking the local companies, universities, research centers of the same industrial cluster.

• International journal of advanced smart convergence
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• v.9 no.2
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• pp.8-19
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• 2020

We see an energy fucused smart city evolution of the UK along with the project of "Smart London Plan (SLP)." A theoretical logic of business model innovation has been discussed and a research framework of evolving energy focused smart city is formulated. The starting point is the silo system. In the second stage, the private investment in smart meters establishes a basement for next stages. As results, the UK's smart energy sector has evolved from smart meter installation through smart grid to new business models such as water-energy nexus and microgrid. Before smart meter installation of the government, the electricity system was centralized. However, after consumer engagement plan has been set to make them understand benefits that they can secure through smart meters, the customer behavior has been changed. The data analytics firm enables greater understanding of consumer behavior and it helps energy industry to be smart via controlling, securing and using that data to improve the energy system. In the third stage, distribution network operators (DNOs)' access to smart meter data has been allowed and the segmentation starts. In the fourth stage, with collaboration of Ofwat and Ofgem, it is possible to eliminate unnecessary duplication of works and reduce interest conflict between water and electricity. In the fifth stage, smart meter and grid has been integrated as an "adaptive" system and a transition from DNO to DSO is accomplished for the integrated operation. Microgrid is a prototype for an "adaptive" smart grid. Previous steps enable London to accomplish a platform leadership to support the increasing electrification of the heating and transport sector and smart home.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.6
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• pp.1096-1101
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• 2004

By a tremendous expansion of Internet users, there's a number effects that cause the phenomenon of bottlenecked switching packets from routers. In order to tear down this problem, distributed system is applicable to almost every highly performed router systems. The main processor of distributed system, which manages routing table, commands IPC to delivering the forwarding table line processor that eases functionalities of the router. This makes the system having wired-speed forwarding function based on the hardware so that the performance of the network can be enhanced. Therefore, IPC, which assign a part of router, is necessary to exchange data smoothly and the constitution of IPC using Ethernet is widely adapted as a method for saving investment. In this paper, R-IPC mechanism improve the packet-processing rate over 10% through changed from defect of conventional Ethernet IPC, that is, 2 layer processing to TCP/IP or UDP/ IP into 1 layer processing for efficient packet forwarding.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.821-830
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• 2023

The advancement of Internet network technology has triggered the emergence of new OTT video content platforms, increasing demand for content and altering consumption patterns. This trend is bringing positive changes to the South Korean animation industry, where diverse and high-quality animation content is becoming increasingly important. As investment in technology grows, video production technology continues to advance. Specifically, 3D animation and VFX production technologies are enabling effects that were previously unthinkable, offering detailed and realistic graphics. The Fourth Industrial Revolution is providing new opportunities for this technological growth. The rise of Artificial Intelligence (AI) is automating repetitive tasks, thereby enhancing production efficiency and enabling innovations that go beyond traditional production methods. Cutting-edge technologies like 3D animation and VFX are being continually researched and are expected to be more actively integrated into the production process. Digital technology is also expanding the creative horizons for artists. The future of AI and advanced technologies holds boundless potential, and there is growing anticipation for how these will elevate the video content industry to new heights.