• Advances in nano research
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• v.7 no.3
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• pp.145-155
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• 2019

In this article, the influence of small scale effects on the free vibration response of curved magneto-electro-elastic functionally graded (MEE-FG) nanobeams has been investigated considering nonlocal elasticity theory. Power-law is used to judge the through thickness material property distribution of MEE nanobeams. The Euler-Bernoulli beam model has been adopted and through Hamilton's principle the Nonlocal governing equations of curved MEE-FG nanobeam are obtained. The analytical solutions are obtained and validated with the results reported in the literature. Several parametric studies are performed to assess the influence of nonlocal parameter, magnetic potential, electric voltage, opening angle, material composition and slenderness ratio on the dynamic behaviour of MEE curved nanobeams. It is believed that the results presented in this article may serve as benchmark results in accurate analysis and design of smart nanostructures.

• Korea Trade Review
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• v.44 no.1
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• pp.129-142
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• 2019

This paper draws implications on the ship finance of the Korean ECAs for shipbuilding industry from the perspective of WTO ASCM through studying the trade disputes on export credits. In consideration of the underwriting practice on the case-by-case basis, the ECAs' law regimes and their ship finance programs as such would be judged not conferring a benefit. The ship finance of international commercial banks could be treated as a market benchmark for the purpose of determining the existence of benefit in the ECA ship finance. The ECAs share securities with international commercial banks for the same exposure to the risks in a syndicate. Therefore, WTO DSB would rule that the ECA ship finance confers no benefit for individual transactions. The items (j) and (k-1) of ASCM Annex I are not allowed to interpret a contrario.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.131-139
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• 2021

In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.140-146
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• 2023

A detailed survey, applications and challenges of video encoding-decoding systems is discussed in this paper. A novel architecture has also been set aside for future work in the same direction. The literature reviews span the years 1960 to the present, highlighting the benchmark methods proposed by notable academics in the field of video compression. The timeline used to illustrate the review is divided into three sections. Classical methods, conventional heuristic methods, and current deep learning algorithms are all used for video compression in these categories. The milestone contributions are discussed for each category. The methods are summarized in various tables, along with their benefits and drawbacks. The summary also includes some comments regarding specific approaches. Existing studies' shortcomings are thoroughly described, allowing potential researchers to plot a course for future research. Finally, a closing note is made, as well as future work in the same direction.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.61-71
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• 2024

The dynamic nature of Online Social Networks (OSNs), especially on platforms like Twitter, presents challenges in identifying and responding to community attacks, particularly within Arabic content. The proposed integrated system addresses these challenges by achieving 91% accuracy in detecting real-time community event attacks while efficiently managing computational costs. This is accomplished through the use of specialized integrated approach clustering to detect both major and minor attacks. Additionally, the system leverages clustering algorithms, temporal modules, and social network graphs to identify events, map communities, and analyze online dynamics. An extensive parameter sensitivity analysis was conducted to fine-tune the algorithm, and the system's effectiveness was validated using a benchmark dataset, demonstrating substantial improvements in event detection.

• Journal of Korea Trade
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• v.24 no.1
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• pp.131-145
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• 2020

Purpose - The recent growth of South Korean products in the international market is the benchmark for both developed as well as developing countries. According to the development index, the role of international trade is indeed crucial for the development of the national economy. However, the visualization of the international trade profile of the country is the prerequisite of governmental policy decision-makers and guidance for forecasting of foreign trade. Design/methodology - We have utilized data visualization techniques in order to visualize the import & export product space and trade partners of South Korea. Economic Complexity Index (ECI) and Revealed Comparative Advantage (RCA) were used to identify the Korean international trade diversification, whereas the time series approach is used to forecast the economy and foreign trade variables. Findings - Our results show that Chine, U.S, Vietnam, Hong Kong, and Japan are the leading trade partners of Korea. Overall, the ECI of South Korea is growing significantly as compared to China, Hong Kong, and other developed countries of the world. The expected values of total import and export volume of South Korea are approximately US$535.21 and US$ 781.23B, with the balance of trade US$ 254.02B in 2025. It was also observed from our analysis that imports & exports are equally substantial to the GDP of Korea and have a significant correlation with GDP, GDP per capita, and ECI. Originality/value - To maintain the growth rate of international trade and efficient competitor for the trade partners, we have visualized the South Korea trade profile, which provides the information of significant export and import products as well as main trade partners and forecasting.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.12
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• pp.65-84
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• 1999

During the past few decades, we have witnessed three approaches to overcome the legal disparities between trading countries: - determining the individual governing law in accordance with the conflict of laws principle; - unifying and harmonizing private international law into uniform rules and substantive laws under the auspices of ICC, UNCITRAL, UNIDROIT and various NGOs ; and - drafting model laws like the UNCITRAL Model Law on Electronic Commerce and promoting member countries to enact them. Against this backdrop, the United Nations Convention on Contracts for the International Sale of Goods (CISG) and the process by which it was adopted, established the benchmark for the unification of commercial law. The CISG, completed in 1980, merged civil and common law concepts and came into force in 1988 after a certain number of countries endorsed the treaty. Besides the CISG, the U.N. Limitations Convention and the UNIDROIT Principles of International Commercial Law, to name a few, have attempted to set cross-border legal norms and standards in the international business transactions. However, since the advent of computer-based commerce, there have emerged all-out efforts to establish uniform rules before national legal systems have been developed. As a consequence, the Model Law on Electronic Commerce has become a specimen legislation covering functional equivalents of paper-based writing and signature. For the credit enhancement exemplified by the Uniform Rules for Demand Guarantees (ICC Publication No.458), the UNCITRAL prepared the U.N. Convention on Independent Guarantees and Stand-by Letters of Credit, which was adopted by the U.N. General Assembly in 1995 but remains still not effective as only two countries have ratified this treaty so far. In this connection, two draft conventions underway at UNIDROIT and UNCITRAL deserve our attention as the probability of unification in the Korean Peninsula is mounting. They are to create security interests for commercial finance in moveable equipment and accounts receivable. The UCC-type security rights are regarded to be useful to enable the North Koreans with limited properties to borrow from the banks.

• ETRI Journal
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• v.42 no.1
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• pp.90-100
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• 2020

Named entity recognition (NER) continues to be an important task in natural language processing because it is featured as a subtask and/or subproblem in information extraction and machine translation. In Urdu language processing, it is a very difficult task. This paper proposes various deep recurrent neural network (DRNN) learning models with word embedding. Experimental results demonstrate that they improve upon current state-of-the-art NER approaches for Urdu. The DRRN models evaluated include forward and bidirectional extensions of the long short-term memory and back propagation through time approaches. The proposed models consider both language-dependent features, such as part-of-speech tags, and language-independent features, such as the "context windows" of words. The effectiveness of the DRNN models with word embedding for NER in Urdu is demonstrated using three datasets. The results reveal that the proposed approach significantly outperforms previous conditional random field and artificial neural network approaches. The best f-measure values achieved on the three benchmark datasets using the proposed deep learning approaches are 81.1%, 79.94%, and 63.21%, respectively.

• Journal of Korean Elementary Science Education
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• v.31 no.2
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• pp.164-176
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• 2012

The purpose of this study was to find some suggestions for reorganization of contents about particle concept of matter in Korean science curriculum. For the purpose of this study, authors analyzed features of Korean science curriculum and compared science curricula of Korea, USA, UK, Japan and Finland. From the result of this study, authors find some features and important suggestions about reorganization of contents about particle in science curriculum. First, the sequence of contents about particle concepts in 2009 Revised National Curriculum was similar to that in the 6th National Science Curriculum. And the feature of 2009 Revised National Curriculum showed the articulation of contents about particle concept. If contents about particle concept is increased in elementary science curriculum, the total articulation would be increased. Second, the presenting sequence of atomic structure-first and laws about atom-later should be changed to laws about atomic-first and atomic structure-later. This presenting sequence is grounded by science curricula of other countries, history of science and developmental psychology. And science curriculum of Korea was required specific extended concept statement like science curricula of USA or UK. Also, Korean science curriculum could benchmark Finnish science curriculum if we want to develop some integrated learning activities such as those in STS or STEAM program.

• The Journal of Korean Medical History
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• v.24 no.2
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• pp.135-143
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• 2011

The market of conferences and expos of traditional/ complementary and alternative medicine has not been mature enough while interests in those medicines are growing fast. Meanwhile, some related events in Europe, North America, and Asia, held on regular basis, have reached to the international level in size, such as CAMExpo The Complementary, Natural & Healthcare Show in Europe, Integrative Healthcare Symposium in North America, Ayurveda Congress & Arogya Expo in India, International Conference and Exhibition of the Modernization of Chinese Medicine & Health Products in Hong Kong. Those events have been held for 10 years or so, initiated their own features, and secured their own regular booth exhibitors and visitors. They open the homepage on the internet one or two years before their events are held and vigorously advertise their events on yearly basis. To succeed in, and bear fruits from, the 2013 World Traditional Medicine Expo in Sancheong, it is needed to analyze strong points of the events above and benchmark a practical timeline and technical road map to the 2013 Expo from them.