• Journal of Digital Convergence
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• v.14 no.5
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• pp.95-106
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• 2016

The major thrust of this research focuses on the development of phased big data distribution model based on the big data ecosystem. This model consists of 3 phases. In phase 1, data intermediaries are participated in this model and transaction functions are provided. This system consists of general control systems, registrations, and transaction management systems. In phase 2, trading support systems with data storage, analysis, supply, and customer relation management functions are designed. In phase 3, transaction support systems and linked big data distribution portal systems are developed. Recently, emerging new data distribution models and systems are evolving and substituting for past data management system using new technology and the processes in data science. The proposed model may be referred as criteria for industrial standard establishment for big data distribution and transaction models in the future.

• Journal of Information Processing Systems
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• v.2 no.1
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• pp.23-27
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• 2006

This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many features and a target value. We classified them into positive and negative data based on the target value. We then divided the range of the feature values into 10 intervals and calculated the distribution of the intervals in each positive and negative data. Then, we selected the features and the intervals of the features for which the distributional differences are over a certain threshold. Using the selected intervals and features, we could obtain the reduced training data. In the experiments, we will show that the reduced training data can reduce the training time of the neural network by about 40%, and we can obtain more profit on simulated stock trading using the trained functions as well.

• Korean Journal of Agricultural Science
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• v.36 no.2
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• pp.245-260
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• 2009

Environmentally friendly agricultural products(EFAPs) are on an increasing trend of supply, but not much enhancing the rate of consumption due to higher premiums and consumers' safety concerns. In order to enlarge the consumption of EFAPs and secure the income of the producing farmers, wholesale market should increase the treating amount of EFAPs and introduce traceability system for satisfying consumers' safety concerns. The purpose of this study is to present strategies of traceability system in wholesale market for environmentally friendly agricultural products. For this purpose, current traceability systems that are introduced and managed by government and private association are examined. For the successful management of the EFAPs' traceability system in wholesale market, the trading system, the functions of wholesale market, the level of consumers' safety concerns, and the managing costs should be considered.

• International Commerce and Information Review
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• v.5 no.1
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• pp.203-222
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• 2003

Owing to the digital revolution, Internet Commerce and Electronic Commerce is having a profound influence on the global trade and internal commerce, revolutionizing the way of doing business and making payment. The entrance of the Internet has a prominent for spread of Electronic Commerce and those phenomenons will result in paperless trading and cashless trade By virtue of Internet, an increasing share of business transactions occurs online. Electronic payment is essential for the smooth progress of the electronic commerce as electronic payment plays the important role in the electronic commerce. Traditionally international settlement systems such as letters of credits, remittance and documentary collections operated as an important and popular method of payment. Now, information technology has made it possible to pay for the sale of goods and services over the internet. In international trade, there are service providers (Bolero, TradeCard, @Globaltrade) to settle payment electronically through the Internet.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.42
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• pp.171-179
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• 1997

Genetic Algorithms face an inherent conflict between exploitation and exploration. Exploitation refers to taking advantage of information already obtained in the search. Exploration show that a pattern in bits coupled with another pattern elsewhere in the string is more effective. In this paper shows that the selection method has a major impact on the balance between exploitation and exploration. A more heavy-handed approach seeks to exploit the available information. If decisions must be made quickly, especially those in real-time trading environments, then quicker convergence through exploitation may be more desirable. Also this paper we present some theoretical and empirical the selection method in genetic algorithms for a GA-hard problem.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.19-28
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• 2009

Computer system performance has always had the possibility of affecting business profitability, but with the advent of the World Wide Web where customers interact directly with Web servers, response time can have a direct and dramatic impact on business revenue. This paper is written in the operation environment and system analysis of HTS(Home Trading System) running K Securities. This paper also shows the method for performance improvement through investigation and analysis for the overall systems resources whether HTS has an appropriate performance or not. Performance analysis includes specially CPU analysis, Memory analysis, Disk Input/Output analysis and application analysis. Besides providing more detailed server specification for expansion from now on, system performance can be maintained with effect in the future. Through this study it is possible to manage the performance of HTS more easily and to solve problems such as a bottleneck more quickly.

• The Journal of Information Technology
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• v.4 no.1
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• pp.55-69
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• 2001

TradeCard is a B2B (business-to-business) e-commerce infrastructure that enables buyers and sellers to conduct and settle international trade transactions securely over the Internet. and objective of TradeCard is to provide a secure, reliable, cost-effective and user-friendly solution for conducting and settling international trade transactions. This paper analyzes the reviews of TradeCard by Electronic Message and the various problems which come to application of TradeCard, with particular attention to existing international frameworks for payment systems based on Documentary Credit.

• IE interfaces
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• v.16 no.3
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• pp.280-290
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• 2003

Many firms are trying to optimize their production and distribution functions separately, but possible savings by this approach may be limited. Nowadays, it is more important to analyze these two functions simultaneously by trading off the costs associated with the whole. In this paper, I treat a production and distribution planning problem for single-period inventory products comprised of a single production facility and multiple customers, with the aim of optimally coordinating important and interrelated decisions of production sequencing and vehicle routing. Then, I propose a hybrid genetic algorithm incorporating several local optimization techniques, HGAP, for integrated production-distribution planning. Computational results on test problems show that HGAP is effective and generates substantial cost savings over Hurter and Buer's decoupled planning approach in which vehicle routing is first developed and a production sequence is consequently derived. Especially, HGAP performs better on the problems where customers are dispersed with multi-item demand than on the problems where customers are divided into several zones based on single-item demand.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.37-39
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• 2015

In this article we consider the modern trends of global warming, GHG pollutions and discussions of the obligations of developed and developing countries before the UN Global Climate Summit in Paris. The article considers decarbonization as a national strategy, including complex tools for the improvement of energy efficiency, reduction of CO₂ and development of emissions trading systems. The author underlines that the Central Asian countries such as Kazakhstan and Turkmenistan, have the largest GHG potential in the region, and for this reason they should be within the framework of the UNFCCC and join the international process on development of the national decarbonization strategies.Thesemeasuresallowthese countries to join the global carbon trade marketing, international financial recourses, and significantly reduce CO₂ pollutions in the region.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.46
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• pp.315-350
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• 2010

The rapid growth of Korea-China trade that was since the establishment of diplomatic relations in 1992, led China to surpass the United States and Japan to become Korea's largest trading partner in 2009. "The largest trade" also means "the most disputes", so it is essential to study on dispute settlement and enforcement system of the two. Therefore, in order to make the traders correctly understand and use the arbitration as a dispute settlement method in both China and Korea, this article makes a comparative study on arbitration system between the two countries. And finally, it analyzes the enforcement situation of arbitral award in China, then provides the author's personal recommendations as a countermeasure against the poor enforcement system in China.