• 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.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.129-135
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• 2019

Recently, it is anticipated that 5G network would play the significant role of the neural network for 4th generation industry revolution and create huge value for the new market. However, in spite of proliferating prospect of 5G network industry and leading position in the launch of 5G, network operators have hesitated to give their full support to establishing proper network. Due to the lack of business models promoting 5G industry, network operators feel that they will not realize the return from the exorbitant investment in 5G network establishment. Moreover, the rigorous research efforts to investigate and analyze the various business environments regarding 5G rarely exists. Therefore, the purpose of the research is to holistically propose the research issues related to the technology, service providing method, governmental policy, and business models in commercializing and promoting 5G network.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.576-583
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• 2010

Wireless Internet is the network which provides wireless access in order to serve the Internet connections and data communication through the mobile handsets. To get efficient wireless access to the Internet, we need the WAP (Wireless Application Protocol) gateway that performs protocol translation and contents conversion between two different networks. We need the capacity dimensioning of the WAP gateway system in order to provide the wireless Internet service stably and cost-effectively. We also need the traffic engineering methods including traffic modelling and forecasting for the economical facility investment. The existing method of WAP gateway capacity dimensioning was intuitive and qualitative. But in this paper, we deal with the capacity dimensioning analytically and quantitatively on the basis of WAP traffic description parameters and traffic forecasting method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.305-318
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• 2022

Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

• Journal of Information Management
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• v.29 no.2
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• pp.1-17
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• 1998

The Inno-NET, which is based on the Internet and up-to-date information technology, is a consolidated system to provide business-related information and to solve the difficulties in business activities. In particular, the Inno-NET is an information system to integrate such business information for enterprise as start-up, financing, technology development, recruiting, site acquisition, marketing, trade and investment and so on, in order to help companies solve their problems and make up for their weak points. Accordingly, the Inno-NET will systematically connect supporting agencies and innovative enterprises, thus guaranteeing the exchange of information among them and coordinating the business. The supporting agencies will be included government offices, public organizations, research institutes, universities, and industrial associations all over the ministries. In short, Inno-NET forms a real-time decision making system among government, industries, universities and research institutes. by elt:ictronic networking on the Internet.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.2
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• pp.211-218
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• 2015

This paper describes the implementation of the accelerated virtual switch using Intel DPDK(Data Plane Development Kit), and evaluates the virtual network functions of the virtual switch which is one of the most important components to build a virtual network for cloud computing. Nowadays, new information service platforms are appeared from the interconnection of intelligent IT systems like IoT(Internet of Things). And many companies want to use the new service platform for their new application service. The companies can apply there new service early which needs small investment and responses adaptively to the fast change of consumer environment. Using cloud computing technology, the new business service can be introduced as a commercial IT service for the time to market. In this study, an implementation and investigation were performed for the accelerated virtual switch, called Intel DPDK virtual switch, which is using multi processors in network interface card for virtual network functions. It can be useful for Internet-oriented companies to leverage the new cloud service and businesses for its creativeness.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.123-132
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• 2005

By complementary integration of WLAN and UMTS, a Beyond third Generation(B3G) mobile network can be constructed to establish the fastest global roaming environments, There are 2 types of B3G networks: loosely-coupled and tightly-coupled, A tightly-coupled network demands lots of investment and considerable amount of time to construct. On the other hand a loosely-coupled network is more scalable and easier to implement than a tightly-coupled one, But it has critical drawbacks of packet loss and blocking of services due to handover delay, To alleviate these drawbacks this thesis proposes a vertical handover procedure between WLAN and UMTS, which is based on MAP of HMIPv6, Performance of the proposal is evaluated in terms of blocking probabilities, The proposed procedure based on HMIPv6 shows better performance than those based on MIP.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4191-4211
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• 2019

Software product lines (SPLs) are complex software systems by nature due to their common reference architecture and interdependencies. Therefore, any form of evolution can lead to a more complex situation than a single system. On the other hand, software product lines are developed keeping long-term perspectives in mind, which are expected to have a considerable lifespan and a long-term investment. SPL development organizations need to consider software evolution in a systematic way due to their complexity and size. Addressing new user requirements over time is one of the most crucial factors in the successful implementation SPL. Thus, the addition of new requirements or the rapid context change is common in SPL products. To cope with rapid change several researchers have discussed the evolution of software product lines. However, for the evolution of an SPL, the literature did not present a systematic process that would define activities in such a way that would lead to the rapid evolution of software. Our study aims to provide a requirements-driven process that speeds up the requirements engineering process using social network sites in order to achieve rapid software evolution. We used classification, topic modeling, and sentiment extraction to elicit user requirements. Lastly, we conducted a case study on the smartwatch domain to validate our proposed approach. Our results show that users' opinions can contain useful information which can be used by software SPL organizations to evolve their products. Furthermore, our investigation results demonstrate that machine learning algorithms have the capacity to identify relevant information automatically.

• Knowledge Management Research
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• v.16 no.3
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• pp.23-40
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• 2015

Despite much interest and investment in the Internet of Things (IoT) which expand the Internet to a ubiquitous network including objects in the physical world, there is growing concerns of privacy protections. Because the risk of privacy invasion is higher in IoT environments than ever before, privacy need to be a key issue in the diffusion of IoT. Considering that the privacy concern is a critical barrier for user to adopt information technologies, it is important to investigate users' privacy concerns related to IoT applications. From the triad perspective (i.e., risk on technology, risk on service provider, and trust on legislation), this study aims to examine users' privacy concerns in the context of activity trackers.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.