• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.35
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• pp.101-124
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• 2007

This paper purposes to examine the setting aside and the refusal of enforcement of arbitral awards and their implications for practitioners. The aim of challenging an award before a national court at the seat, or place, of arbitration is to have it modified in some way by the relevant court, or more usually, to have that court declare that the award is to be disregarded (i.e. "annulled" or "set aside") in whole or in part. If an award is set aside or annulled by the relevant court, it will usually be treated as invalid and accordingly unenforceable, not only by the courts of the seat of arbitration but also by national courts elsewhere. This is because, under both the 1958 New York Convention and the UNCITRAL Model Law, the competent court may refuse to grant recognition and enforcement of an award that has been "set aside" by a court of the seat of arbitration. The New York Convention set out various grounds for refusal of recognition and enforcement of an arbitration award. The provisions of the Model Law governing recognition, enforcement or setting-aside of awards are almost identical to those set out in the Convention. Especially, the New York Convention and the Model Law state that an arbitral award may be refused and set aside if a national court of the place of arbitration finds that the award is in conflict with the public policy of its own country. Each state has its own concept of what is required by its "public policy". It is possible to envisage, for example, a dispute over the division of gaming profits from a casino. In many states, the underlying transaction that led to the award would be regarded as a normal commercial transaction and the award would be regarded as valid. Indeed, it is a consistent theme to be found in the legislation and judical decision of many countries. If a workable definition of "international public policy" could be found, it would provide an effective way of preventing an award in an international arbitration from being set aside and refusal for purely domestic policy consideration.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.86-90
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• 2020

This paper examines a blockchain network-based transaction system using location proofing in power direct transactions between networked energy clouds, energy communities, and prosumer machines participating in smart cities. It utilizes location-based blockchain network technology, which enables long-distance travel with recharging by power purchases during autonomous movements, autonomous electric vehicles that can purchase and sell electricity, and solar street lights that can be produced and sold in fixed form. In addition, it is possible to provide optimum power transaction matching and settlement reliability between machines without human intervention in power transactions between electric chargers. It also introduces a business-to-object business model between autonomous machines that exist in multiple and different spaces and through energy clouds that are expected to be scattered with various transaction prices, policies, and incentives.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.9
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• pp.96-102
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• 2008

The SoC bus topology is classified to single and multiple bus systems due to bus number. In single bus system, the selected only one master among the masters that try to initiate the bus transaction can execute its data transaction. On the other hand, in multiple bus system, as several buses that can be operated independently are connected with bridge, multiple data can be transferred parallel in each bus. However, In the case of data communication from one bus system to the other, data latency has remarkably increased in multiple bus. Furthermore, the performance of multiple bus can be easily different from master number, slave type and so on. In this paper, the performance of single and multiple bus architecture is compared and quantitatively analysed with the variation of master number and slave type especially a tying SDRAM, SRAM and register with TLM simulation method.

• The Journal of Bigdata
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• v.4 no.2
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• pp.115-126
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• 2019

There have been many discussions on export indices in trade exports, but there is no definite trade export index which can be explained by objective indicators. Korea International Trade Association (KITA), Korea Trade-Investment Promotion Agency (KOTRA), etc., but we are currently in the process of thinking about ways to express the capabilities of exporting companies. In this study, we constructed the AI data sets by setting the activity indicators such as the size of the company and the credit score, the number of transaction customers, the number of transactions, the number of items, the transaction volume, and the transaction period as features, Lightgbm. Using the Graph Neural Network as an industrial cluster classification model, the export live index which expresses the exportable capacity among companies, items, and business groups was calculated. This includes the past activity of the company from the current calculating index Objectivity.

• The Journal of Industrial Distribution & Business
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• v.9 no.6
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• pp.49-55
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• 2018

Purpose - This paper examines the effect of related party transactions on crash firm-specific stock price crash risk. Ownership of a typical Korean conglomerate is concentrated in a single family. In those entities, management and board positions are often filled by family members. Therefore, a dominant shareholder can benefit from related party transactions. In Korea, firms have to report related party transactions in financial statement footnotes. However, those are not disclosed in detail. The more related party transactions are the greater information risk. Thus, companies with related party transactions are likely to experience stock price crashes. Research design, data, and methodology - 2,598 firm-year observations are used for the main analysis. Those samples are from TS2000 database from 2009 to 2013, and the database covers KOSPI-listed firms in Korea. The proxy for related party transactions (RTP) is calculated by dividing total transactions to the related-party by total sales. A dummy variable is used as a dependent variable (CRASH) in the regression model. Logistic regression is used to explain the relationship between related party transactions and crash risk. Then, the sample was separated into two groups; tunneling firms and propping firms. The relation between related party transactions and crash risk variances with features of the transaction were investigated. Results - Using a sample of KOSPI-listed firms in TS2000 database for the period of 2009-2013, I find that stock price crash risk increases as the trade volume of related-party transactions increases. Specifically, I find that the coefficient of RPT is significantly positive, supporting the prediction. In addition, this relationship is strong and robust in tunneling firms. Conclusions - The results report that firms with related party transactions are more likely to experience stock price crashes. The results mean that related party transactions increase the possibility of future stock price crashes by enlarging information asymmetry between controlling shareholders and minority shareholders. In case of tunneling, it could be seen that related party transactions are positively associated with stock crash risk. The result implies that the characteristic of the transaction influences crash risk. This study is related to a literature that investigates the effect of related party transactions on the stock market.

• The KIPS Transactions:PartC
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• v.10C no.7
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• pp.857-866
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• 2003

For detecting an intrusion based on the anomaly of a user's activities, previous works are concentrated on statistical techniques in order to analyze an audit data set. However. since they mainly analyze the average behavior of a user's activities, some anomalies can be detected inaccurately. In this paper, a new clustering algorithm for modeling the normal pattern of a user's activities is proposed. Since clustering can identify an arbitrary number of dense ranges in an analysis domain, it can eliminate the inaccuracy caused by statistical analysis. Also, clustering can be used to model common knowledge occurring frequently in a set of transactions. Consequently, the common activities of a user can be found more accurately. The common knowledge is represented by the occurrence frequency of similar data objects by the unit of a transaction as veil as the common repetitive ratio of similar data objects in each transaction. Furthermore, the proposed method also addresses how to maintain identified common knowledge as a concise profile. As a result, the profile can be used to detect any anomalous behavior In an online transaction.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.121-128
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• 2014

SSE-CMM for security engineering, engineering, assurance, risk is divided into three elements of the process maturity assessment model and the level of information security presented. Maturity measurement of privacy, vulnerability diagnosis and risk analysis methodologies is used in practical field for present a comprehensive conclusion. The common cyber services are internet banking, mobile banking, telephone banking and the like. Transaction structure, a kind of cyber-banking system, information security maturity of the existing measurement methodologies for research purposes, vulnerability diagnosis and risk analysis methodologies to be used in practical field present a comprehensive conclusion. To ensure safety and convenience for the user, convenient to deal with cyber environment is the key to the activation of cyber trading. Particularly by measuring the maturity of cyber banking system to ensure the safety of the practice field much effects are expected as a result.

• Convergence Security Journal
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• v.12 no.2
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• pp.107-113
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• 2012

Recently, according to the establishment of personal information protection Act, the public and private organizations are taking a step to protect personal information rights and interests by employing the technical methods such as the access control mechanism, cryptography, etc. The result of the personal information leakage causes a serious damage for the organization image and also has to face with the responsibility by law. However, applying access control and cryptographic approach on the personal information item for every connection to large database system causes significant performance degradation in a large database system. In this paper, we designed and implemented the light weight system using JVM (Java Virtual Machine) for the Oracle DBMS environment which the concurrent transaction occurs many, thereby the proposed system provides the minimum impact on the system performance and meets the need of personal information protection. The proposed system was validated on the personal information protection system which sits on a 'A' public organization's portal site and personnel information management system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.163-171
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• 2021

In this paper, the energy transaction system was optimized by applying a resource allocation algorithm and deep reinforcement learning in the distributed power system. The power demand and supply environment were predicted by deep reinforcement learning. We propose a system that pursues common interests in power trading and increases the efficiency of long-term power transactions in the paradigm shift from conventional centralized to distributed power systems in the power trading system. For a realistic energy simulation model and environment, we construct the energy market by learning weather and monthly patterns adding Gaussian noise. In simulation results, we confirm that the proposed power trading systems are cooperative with each other, seek common interests, and increase profits in the prolonged energy transaction.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.115-124
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• 2019

The purpose of this study is to analyze the housing price variation within the redevelopment project district, affected by the characteristics of project and implementation stage. This study implemented the hedonic price model employing the actual transaction price with 24 dependent variables from 2006 to 2016 inside 19 redevelopment districts in Seoul. Research finding indicates that the larger ratio of the number of tenants and general distribution, the smaller ratio of rented households and the more positive effect of housing price. It is noteworthy that this study demonstrated the actual transaction price of houses located within the project districts by implementation stage. This study is expected to help the policy makers, the developers and the investors make more reliable decisions on the feasibility study related to the redevelopment project.