• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2115-2130
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• 2022

With the development of over-the-top (OTT) services, the demand for content is increasing, and you can easily and conveniently acquire various content in the online environment. As a result, copyrighted content can be easily copied and distributed, resulting in serious copyright infringement. Some special forms of online service providers (OSP) use filtering-based technologies to protect copyrights, but illegal uploaders use methods that bypass traditional filters. Uploading with a title that bypasses the filter cannot use a similar search method to detect illegal content. In this paper, we propose a technique for profiling the Heavy Uploader by normalizing the bypassed content title and efficiently detecting illegal content. First, the word is extracted from the normalized title and converted into a bit-array to detect illegal works. This Bloom Filter method has a characteristic that there are false positives but no false negatives. The false positive rate has a trade-off relationship with processing performance. As the false positive rate increases, the processing performance increases, and when the false positive rate decreases, the processing performance increases. We increased the detection rate by directly comparing the word to the result of increasing the false positive rate of the Bloom Filter. The processing time was also as fast as when the false positive rate was increased. Afterwards, we create a function that includes information about overall piracy and identify clustering-based heavy uploaders. Analyze the behavior of heavy uploaders to find the first uploader and detect the source site.

• The Journal of Information Technology
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• v.3 no.1
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• pp.125-142
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• 2000

We live in a society in which existing legal frameworks are constantly challenged by technological advancements. This creates a need to constantly update and adapt the way. This new technology constitutes a brand new route for the exchange of goods and services that has yet to be fully examined. Whereas much has been written on how the information superhighway affects legal issues, such as substantial questions have yet to be answered in regards to how this new trade route will be treated by various laws of taxation and customs and our policies. Because electronic commerce, is not bound by physical geography provides a fundamentally new way of conducting commercial transactions, this paper analyzes how electronic commerce will be affected by the computer networks, with particular attention to existing international frameworks for taxes and tariffs systems, investigates the reviews and consequences that the electronic commerce environment presents to traditional precepts of taxation and customs.

• Journal of Industrial Convergence
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• v.18 no.5
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• pp.36-41
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• 2020

This paper aims to explore and shed light on how the rise of streaming services has been affecting the media landscape in the recent years by looking at the conflicts between the Hollywood film industry and Netflix. It especially examines Netflix's disregard for the theatrical release, as it is the most portentous issue that could reshape the film industry, and Hollywood's opposition to it as revealed through the 2019 Academy Awards where the issue was brought into sharp relief. At the same time, this paper also questions whether theatrical distribution makes a film any more cinematic by examining how Hollywood film production has been largely concentrated on tentpoles and franchises, while Netflix has been producing diverse films often shunned by the studios. In this light, it concludes the changes wrought by Netflix, including its bypassing of the theatrical release, are not likely to be reversed.

• Structural Engineering and Mechanics
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• v.89 no.2
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• pp.213-223
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• 2024

This paper proposes a composite design of fuzzy adaptive control scheme based on TMD RC structural system and the gain of two-dimensional fuzzy control is controlled by parameters. Monitoring and learning in LMI then produces performance indicators with a weighting matrix as a function of cost. It allows to control the trade-off between the two efficiencies by adjusting the appropriate weighting matrix. The two-dimensional Boost control model is equivalent to the LMI-constrained multi-objective optimization problem under dual performance criteria. By using the proposed intelligent control model, the fuzzy nonlinear criterion is satisfied. Therefore, the data connection can be further extended. Evaluation of controller performance the proposed controller is compared with other control techniques. This ensures good performance of the control routines used for position and trajectory control in the presence of model uncertainties and external influences. Quantitative verification of the effectiveness of monitoring and control. The purpose of this article is to ensure access to adequate, safe and affordable housing and basic services. Therefore, it is assumed that this goal will be achieved in the near future through the continuous development of artificial intelligence and control theory.

• Steel and Composite Structures
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• v.51 no.5
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• pp.473-485
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• 2024

This paper proposes a composite form of fuzzy adaptive control plan based on a robust observer. The fuzzy 2D control gains are regulated by the parameters in the LMIs. Then, control and learning performance indices with weight matrices are constructed as the cost functions, which allows the regulation of the trade-off between the two performance by setting appropriate weight matrices. The design of 2D control gains is equivalent to the LMIs-constrained multi-objective optimization problem under dual performance indices. By using this proposed smart tracking design via fuzzy nonlinear criterion, the data link can be further extended. To evaluate the performance of the controller, the proposed controller was compared with other control technologies. This ensures the execution of the control program used to track position and trajectory in the presence of great model uncertainty and external disturbances. The performance of monitoring and control is verified by quantitative analysis. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.7-14
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• 2018

Purpose - Social welfare is a social insurance system that provides funds and services for all citizens to maximize their life quality. Its ultimate goal is to alleviate social contradictions. Therefore, this paper explores the determinants of social welfare in terms of macroeconomics. Research design, data, and methodology - Based on the vector error correction model, the annual time series from 1990 to 2017 will be used to conduct an empirical analysis. The real GDP, the real income, the inflation and the degree of openness will be treated as independent variables. The input of social welfare will be treated as a dependent variable. These variables will be used to perform the cointegration test and the vector error correction model to explore how the macroeconomic variables affect social welfare both in long run and short run. Result - Via the empirical analysis, it can be summarized that the real GDP, the real income and the degree of openness are the driving determinants to enlarge the social welfare. Conversely, the inflation is the obstructive determinant to reduce the social welfare. Conclusion - The positive and negative determinants of social welfare exist simultaneously, China's government should take macroeconomic regulation and control to balance them to enlarge social welfare.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.187-190
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• 2006

In this paper, we describe a new 1/4 rate robust modulation techniques for Enhanced-x VSB system which is fully backward compatible with ATSC 8-VSB standard. 1/4 rate mode Enhanced-xVSB system provides broadcasters with a wide choice of trade-offs of data rate vs amount of robustness of enhanced data for pedestrian/mobile services. Lab test results of proposed Enhanced-xVSB 1/4 rate mode robust stream are a significantly improved multipath as well as AWGN reception performance for Enhanced-xVSB receiver. We suggest an Enhanced-xVSB terrestrial broadcasting system for ATSC HDTV and pedestrian/portable TV simultaneous broadcasting service providing.

• Journal of Korea Port Economic Association
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• v.22 no.1
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• pp.61-86
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• 2006

As the economic volume and trade in North-East Asia have dramatically increased, the competition for dominance over the value of logistics among many developed countries has taken a new turn. The Korean government has been planning a strategy for a north-east asian logistics hub in order to increase the global competitiveness of manufacturing companies by promoting a logistics industry. However, the competitiveness of Korean logistics industry is still quite premature compared to global competitors. Taking these accounts into considerations, this study advocates that the structure of Korean logistics companies should be changed from the function of furnishing simple logistics to extending integrated logistics services. It should also shift its focus from executing domestic logistics to meeting international logistics demands and from an execution-focused service to a knowledge-intensive service. The purpose of this study is to explore effective methods for stimulating an integrated logistics industry. Some detailed guidelines and economic interpretations, based upon the results of this research, have been suggested for supporting the related legislation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.3
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• pp.503-512
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• 2020

The revisions to data privacy acts allows the disclosure of data after anonymizing personal information. Such anonymized data is expected to be useful in research and services, but there are high concerns about privacy breaches such as re-identifying of the individuals from the anonymized data. In this paper, we showed that identifying individuals from public data is not very difficult, and also raises questions about the reliability of the public data. We suggest that users understand the trade-offs between data disclosure and privacy protection so that they can use data securely under the revised data privacy acts.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.87-96
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• 2021

Data-driven markets depend on access to data as a resource for products and services. Since the quality of information that can be drawn from data increases with the available amount and quality of the data, businesses involved in the data economy have a great interest in accessing data from other market players and sharing data with other stakeholders. Despite the growing need for access to data and evidence of the economic and social benefits, data access and sharing remains below its potential. Individuals, businesses, and governments often face barriers to data access, which may be compounded by the reluctance to share, including within and across sectors. To address these challenges, this paper focuses on finding possible solutions for a better data-sharing economy. This paper 1) Discusses opportunities and challenges of open data and the data-sharing economy, limitations of private sector data, and issues with open government data. 2) Introduces open government data initiatives and open governance networks initiatives. 3) Suggests possible solutions, including the governance and management, the legal and policy frameworks, and the technical standards for open data with proposing an open data governance model for the data-sharing economy.