• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.999-1005
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• 2020

While search portals' 'Portal News' account for the largest portion of aggregated news outlet, its neutrality as an outlet is questionable. This is because news aggregation may lead to prejudiced information consumption by recommending biased news articles. In this paper we introduce a new method of measuring political bias of news articles by using deep learning. It can provide its readers with insights on critical thinking. For this method, we build the dataset for deep learning by analyzing articles' bias from keywords, sourced from the National Assembly proceedings, and assigning bias to said keywords. Based on these data, news article bias is calculated by applying deep learning with a combination of Convolution Neural Network and Recurrent Neural Network. Using this method, 95.6% of sentences are correctly distinguished as either conservative or progressive-biased; on the entire article, the accuracy is 46.0%. This enables analyzing any articles' bias between conservative and progressive unlike previous methods that were limited on article subjects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1405-1414
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• 2011

This paper analyzes the impact of the change in telecommunication regulation on network investment such as the integration of telecommunication service. The integration of telecommunication service plays a role of separating the behavior regulation from entrance regulation and reducing a entrance constraints. Therefore, it is expected that the market spill over effect is high through the improvement of behavior regulation such as interconnection regulation, facilities provisions, retail price regulation, bundling, number portability of VoIP. This paper discusses the critical factor affecting the decision making process in respect of the firm level and analyzes the impact path guiding investment and innovation. Finally, the paper proposes the guideline for telecommunications policy.

• Journal of Information Technology Services
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• v.10 no.2
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• pp.75-94
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• 2011

The industrial ecosystem around the Internet services has been evolving since the Internet was first introduced. The Net Neutrality issue best represents the process of the evolution and presents an inevitable challenge that the industry should overcome. This paper deals with this structural change with the Two-Sided Market framework and provides a System Dynamics(SD) model to evaluate the economic implications of the net neutrality policy. In particular, our approach analyzes the policy impacts when two competing platforms (network providers) play a role of the platform in a typical two-sided market, which connects Content Providers(CPs) with users. Previous studies show that the indirect network externality between these two markets makes the entire system tip to one platform. When the multi-homing in the CP market is allowed as in our model, however, their argument may lose its validity. To examine the system behavior, conducted here is SD simulations of our model. The simulation results show that co-existence of the competing platforms persists with the network effects over a certain threshold. The net neutrality policy seems to lower the threshold based on our experimental outcomes.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.547-550
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• 2008

인터넷 서비스가 차별화 되어야 한다는 논의는 인터넷이 본격적으로 상용화된 1990넌대 중반부터 꾸준하게 제기되어 왔다. Tragedy of commons 라고 불리는 인터넷 혼잡현상은 지속적인 기술발전으로 인해서 상당부분 해결되었으나, 최근 들어서는, Web 2.0의 등장을 통해 동영상 파일이 차지하는 비중이 늘어나면서 P2P를 통한 파일교환이 전체 인터넷 트래픽의 상당 부분을 차지하면서, 또한 실시간 미디어, VoIP 등의 인터넷 응용 프로그램 등에서 전송상의 지연을 포함한 QoS 보장을 요구하게 되면서, 또한 통신사업자의 망중립성에 관한 논의가 진행되면서, 인터넷 서비스를 차별화하고, 통제하려는 연구의 중요성이 증대되고 있다. 본 연구는 인터넷 서비스를 차별화하기 위한 수단으로 기존에 제시되어온 자격과 우선순위라는 2개의 차원에서 그리고 가격제도로서 종가제와 종량제의 차원에서 배경을 검토해본 다음, 우선 대기열 이론과 혼잡성 제어 이론을 통해서 차별화된 서비스가 전체 시스템에어떤 구체적으로 효익을 가져오는 지를 검토하며, 우선순위와 사용시간에 따라 차별화되는 종량제가 현실에서 발견되지 않는 이유에 대한 이론적인 근거를 제시하고, 종량제를 채택했을 경우에 발생하는 문제점과 종량제 사용에서 발생하는 한계들을 논의하면서, 현실적으로 종량제와 차별가격을 도입할 때 발생할 수 있는 문제점들을 밝혀본다.

• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.201-217
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• 2013

This paper analyzes the effect of network neutrality regulation on social welfare using the two-sided market under the network congestion. This paper deals with zero price rule regulation which means the price regulation on the side of content. The results are as follows : First, under the monopoly platform, internet use price, contents price, and the number of internet user and content provider are all decreasing as the network congestion increases. Second, under the monopoly platform internet use price, contents price, and the number of internet user and content provider are all increasing as the network capacity increases. Third, the price of internet use and contents internet use which maximize social welfare are increasing and the number of internet user and content provider are decreasing as the network congestion increases. Fourth, optimal network capacity for monopoly platform provider is less than socially optimal network capacity. Fifth, if network neutrality regulation is enforced, the price of internet use is higher than monopoly platform provider and the price of contents is lower than monopoly platform provider. Also, the number of internet user is less than monopoly platform provider and the number of content provider is more than that. By the way, when network congestion increases, internet use price, the number of internet user, and the number of content provider are decreasing. Sixth, network neutrality regulation is more effective for internet user side than contents provider when network congestion is considered. This means that network neutrality regulation is not effective for contents market side when network congestion is seriously large.

• Journal of Satellite, Information and Communications
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• v.7 no.2
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• pp.42-46
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• 2012

This paper analyses technical and economical conditions which activate the use of mobile communication spectrum not to limit the growth of mobile broadband service because of mobile big data traffic and proposes the method which activate the use of mobile communication spectrum. To activate new mobile communication spectrum the expenditure and income of investment should be balanced. The activation of new mobile communication spectrum to process mobile big data traffic depends on technical and economical conditions, internal and external factors of service provider. The investment expenditure is relate to CAPEX, OPEX which is internal factors of service provider and to spectrum price which is external factor of service. The investment income is relate to tariff system which is internal factors of service provider and to spectrum neutrality which is external factor of service provider. The activation of new mobile communication spectrum can be implemented when the investment expenditure and investment income meet the balance including the spectrum price in the investment expenditure and the tariff system which is able to extend network and the income based on traffic increase by external contents in the investment income.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.735-742
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• 2021

Recently, renewable energy-related power generation facilities have been surging due to the government's "Renewable Energy 3020", "Green New Deal", "2050 Carbon Neutrality" and "K-RE100" policies. Most renewable energy facilities are small and distributed, making it difficult to manage efficiently, and small distributed resources less than 1MW are having a hard time with participating in the market due to the limited sales and avoidance of trading. In particular, the intermittency of renewable energy has a significant impact on the stability of the power grid. The government is seeking to address volatility and intermittency issues through 'small distributed resource brokerage trading, and to expand the systematic resourceization and acceptability of heterogeneous large and small distributed resources. In this work, we intend to apply an AI-based power generation prediction model to a distributed resource brokerage trading system so that it can be utilized as a foundation platform for pioneering new energy business markets.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.73-84
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• 2019

By a comparative study of the philosophical backgrounds of universal service in Korea and the US, this research finds that Korea has paid little attention to the relations between universal service and basic human rights even though it has rapidly and successfully implemented universal service of telephone and the internet services in the past. Based on this key finding, it reaches a conclusion that Korea should adopt a new approach in implementing universal service in the future, considering the goals and contributions to the improvement of the basic human rights of universal service because economic goals have been main drivers of the implementation of universal service so far in Korea, which is not appropriate and suitable for the information society that new telecom services are rapidly emerging.

• Informatization Policy
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• v.26 no.1
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• pp.83-105
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• 2019

The purpose of this study is to analyze the domestic and overseas laws and regulators' decisions related to zero-rating (ZR) practices through a comparative approach and to support development of the ex-post regulation. Although most countries are adopting ex-post regulatory approaches toward the globally increasing ZR practices, there is no uniform standards or an approach to consider when deciding whether to allow mobile ISPs' zero-rating practices in the market. However, in recent years, some countries have been improving their policy transparency with respect to ZR through enacting and amending relevant laws as well as making trial decisions. The comparative analysis shows that each country investigates restriction of the user choice and ISPs' adherence to the obligation of non-discrimination in order to judge whether the user benefits are damaged by the ZR practices. It also investigates ISP-CP's market positioning and ISP's vertical integration for profit squeeze to find out whether they harm fair competition with ZR practices in the mobile ecosystem. Based on the results of the comparative analysis, we suggest the desirable ZR regulatory directions under the domestic legislative status.

• The Transactions of the Korea Information Processing Society
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• v.13 no.6
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• pp.284-290
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• 2024

Speech emotion recognition (SER) is a technique that is used to analyze the speaker's voice patterns, including vibration, intensity, and tone, to determine their emotional state. There has been an increase in interest in artificial intelligence (AI) techniques, which are now widely used in medicine, education, industry, and the military. Nevertheless, existing researchers have attained impressive results by utilizing acted-out speech from skilled actors in a controlled environment for various scenarios. In particular, there is a mismatch between acted and spontaneous speech since acted speech includes more explicit emotional expressions than spontaneous speech. For this reason, spontaneous speech-emotion recognition remains a challenging task. This paper aims to conduct emotion recognition and improve performance using spontaneous speech data. To this end, we implement deep learning-based speech emotion recognition using the VGG (Visual Geometry Group) after converting 1-dimensional audio signals into a 2-dimensional spectrogram image. The experimental evaluations are performed on the Korean spontaneous emotional speech database from AI-Hub, consisting of 7 emotions, i.e., joy, love, anger, fear, sadness, surprise, and neutral. As a result, we achieved an average accuracy of 83.5% and 73.0% for adults and young people using a time-frequency 2-dimension spectrogram, respectively. In conclusion, our findings demonstrated that the suggested framework outperformed current state-of-the-art techniques for spontaneous speech and showed a promising performance despite the difficulty in quantifying spontaneous speech emotional expression.