• Journal of Arbitration Studies
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• v.16 no.2
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• pp.121-150
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• 2006

Under the New York Convention, parties can petition the courts of the United States to confirm foreign arbitral awards. Although there is no definition in the Convention for 'non-domestic' awards, in the United States, federal and state courts read the Convention broadly and interpret this as permitting the enforcing authority to supply its own definition of 'non-domestic' in conformity with its own domestic law. There are a number of federal cases on this point. The court preferred this broad construction of 'non-domestic' awards because it comported with the intended purpose of the Convention, which was entered into to encourage the recognition and enforcement of international arbitral awards. This means that in applying the New York Convention, U.S. courts have responded to the underlying spirit rather than the technical letter of the Convention. In brief, the New York Convention has much broader application in the United States. It is applicable not only to awards rendered outside of the United States, but also to non-domestic awards rendered within United States. As this article suggests, the general attitude towards foreign awards is more pro-enforcement in the United States, whether the award is rendered in favor of the American party or in favor of the foreign party.

• Journal of Advanced Technology Convergence
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• v.2 no.4
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• pp.7-11
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• 2023

In this study, we presented a method to recognize vehicle license plates using CNN techniques. A vehicle plate is normally used for the official identification purposes by the authorities. Most regular Optical Character Recognition (OCR) techniques perform well in recognizing printed characters on documents but cannot make out the registration number on the number plates. Besides, the existing approaches to plate number detection require that the vehicle is stationary and not in motion. To address these challenges to number plate detection we make the following contributions. We create a database of captured vehicle number plate's images and recognize the number plate character using Convolutional Neural Networks. The results of this study can be usefully used in parking management systems and enforcement cameras.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.349-352
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• 2006

To cope with traffic congestion, traffic accidents and lack of parking facilities, caused by dramatic increase in total vehicle number, vigorous researches on managing vehicles efficiently are done, both domestically and internationally. The vehicle license plate recognition makes effective management of traffic possible, with its wide application in many fields, covering from speed enforcement, collecting toll, stolen vehicle detection to parking management. The vehicle license plate recognition system causes high cost for collecting training data. Many researches are done by using the virtual sample method, which can be effective for utilizing limited number of training data by generating virtual sample. This paper investigates techniques to improve the performance of vehicle license plate recognition by using the training data's annexation. Also, popular methods for virtual sample creation used for text recognition algorithm are analyzed and their effectiveness is verified.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.236-238
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• 2022

According to the current Road Traffic Act, the 2020 amendment bill is currently in effect as a system that designates vehicle types for each lane for the purpose of securing road use efficiency and traffic safety. When comparing the number of traffic accident fatalities per 10,000 vehicles in Germany and Korea, the number of traffic accident deaths in Germany is significantly lower than in Korea. The representative case of the German autobahn, which did not impose a speed limit, suggests that Korea's speeding laws are not the only answer to reducing the accident rate. The designated lane system, which is observed in accordance with the keep right principle of the Autobahn Expressway, plays a major role in reducing traffic accidents. Based on this fact, we propose a traffic enforcement system to crack down on vehicles violating the designated lane system and improve the compliance rate. We develop a designated lane enforcement system that recognizes vehicle types using Yolo5, a deep learning object recognition model, recognizes license plates and lanes using OpenCV, and stores the extracted data in the server to determine whether or not laws are violated.Accordingly, it is expected that there will be an effect of reducing the traffic accident rate through the improvement of driver's awareness and compliance rate.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.1-8
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• 2011

Automatic vehicle license plate recognition technology is widely used in gate control and parking control of vehicles, and police enforcement of illegal vehicles. However inherent geometric information of the license plate can be transformed in the vehicle images due to the slant and the sunlight or lighting environment. In this paper, a distortion invariant vehicle license plate extraction and recognition algorithm is proposed. First, a binary image reserving clean character strokes can be achieved by using a DoG filter. A plate area can be extracted by using the location of consecutive digit numbers that reserves distortion invariant characteristic. License plate is recognized by using neural networks after geometric distortion correction and image enhancement. The simulation results of the proposed algorithm show that the accuracy is 98.4% and the average speed is 0.05 seconds in the recognition of 6,200 vehicle images that are obtained by using commercial LPR system.

• Journal of Arbitration Studies
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• v.16 no.3
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• pp.53-89
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• 2006

At its thirty-second session(Vienna, 17 May-4 June 1999), the UNCITRAL decided that the priority items for the Working Group(Arbitration and Conciliation) should include enforceability of interim measures and the requirement of written (on for the arbitration agreement. The Working Group, at its forty-third session(Vienna, 3-7 October 2005), it had undertaken a detailed review of the text of the revised article 17 of UNCTTRAL Model Law on International Commercial Arbitration, and it had resumed discussions on a draft model legislative provision revising article 7, paragraph (2) of UNCITRAL Model Law. The purpose of this paper is to make research on the contents and issues of the draft legislative provisions on interim measures and preliminary orders, and on the form of arbitration agreement which the Working Group discussed and adopted at its forth-fourth session(New York, 23-27 January 2006). The draft legislative provisions on interim measures and preliminary orders are composed of the following provisions : Article 17-power of arbitral tribunal to order interim measures; article 17 bis-conditions for granting interim measures; article 17 ter-applications for preliminary orders and conditions for granting preliminary orders; article 17 quater-specific regime for preliminary orders; article 17 quinquies- modification, suspension, termination; article 17 sexies-provision of security; article 17 septies-disclosure; article 17 octies-costs and damages; article 17 novies recognition and enforcements; article 17 decies-grounds for refusing recognition or enforcement; article 17 undecies-court-ordered interim measures. There are the following issues in the draft legislative provisions on interim measures and preliminary orders : form of issuance of an interim measures in article 17(2); conditions for granting interim measures in article 17 bis; purpose, function and legal regime of preliminary orders in article 17 ter; obligation of arbitral tribunal to give notice, and non-enforceability of preliminary orders in article 17 quater; burden of proof, interplay between article 17 decies and article 34, and decision on the recognition and enforcement of the interim measures in article 17 decies; placement of article 17 undecies; amendment of scope exception of application in article 1(2). The draft legislative provisions on the form of arbitration agreement are composed of the following provisions : article 7(1) definition of arbitration agreement; article 7(2) arbitration agreement in writing; article 7(3) arbitration agreement if its terms(content) are (is) recorded in any form; article 7(4) arbitration agreement by an electronic communication; article 7(5) arbitration agreement in an exchange of statements of claim and defence; article 7(6) reference to any document containing an arbitration clause. There are the following issues in the draft legislative provisions on the form of arbitration agreement : arbitration agreement in writing in article 7(2); terms or contents of arbitration agreement in article 7(3); arbitration agreement by electronic communication in article 7(4); existence of arbitration agreement in article 7(5); reference to any document containing an arbitration clause in article 7(6); the alternative proposal on article 7; amendment to article 35(2).

• Smart Media Journal
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• v.9 no.4
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• pp.134-143
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• 2020

Vehicle License Plate Recognition is one of the approaches for transportation and traffic safety networks, such as traffic control, speed limit enforcement and runaway vehicle tracking. Although it has been studied for decades, it is attracting more and more attention due to the recent development of deep learning and improved performance. Also, it is largely divided into license plate detection and recognition. In this study, experiments were conducted to improve license plate detection performance by utilizing various object detection methods and WPOD-Net(Warped Planar Object Detection Network) model. The accuracy was improved by selecting the method of detecting the vehicle(s) and then detecting the license plate(s) instead of the conventional method of detecting the license plate using the object detection model. In particular, the final performance was improved through the process of removing noise existing in the image by using the Fast-SRGAN model, one of the Super-Resolution methods. As a result, this experiment showed the performance has improved an average of 4.34% from 92.38% to 96.72% compared to previous studies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.59-64
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• 2024

Recently, research on the convergence of drones and artificial intelligence technologies have been conducted in various industrial fields. In this paper, we propose an illegal parking vehicle recognition model using deep learning-based object recognition and classification algorithms. The model of object recognition and classification consist of YOLOv8 and ResNet18, respectively. The proposed model was trained using image data collected in general road environment, and the trained model showed high accuracy in determining illegal parking. From simulation results, it was confirmed that the proposed model has generalization performance to identify illegal parking vehicles from various images.

• Journal of the Korean Home Economics Association
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• v.41 no.8
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• pp.79-95
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• 2003

The main goal of this program is to build a healthy adolescent culture tv broadening the understanding of adolescents and recognition of the environment as well through the development of educational programs centering on the domains of peer relationships, intimacy in dating relationships and sex, leisure activities, and consumption life of adolescents. The program was carried out to 10 young boys and girls for two days/one night and the major findings of the effects of the program through a qualitative evaluation were as follows: First, the program provided adolescent with a proper opportunity to promote a sense of self-confidence through the self-reevaluation process. Secondly, the program provided adolescents with a chance to firmly recognize to become good friends with others though the enhancement of self-esteem, which helped them to build a healthy peer relationship. Thirdly, adolescents were able to promote their views on sex and sexual decision-making by acquiring a proper knowledge of intimacy in dating relationships and of sex, and by candidly expressing their own opinions on sex with instructors. Fourthly, the program provided adolescents with an opportunity to look back on their leisure life with family members which had been neglected thus far and to renew their recognition of active leisure activities. Fifthly, the program provided adolescents with a chance to reflect on their unplanned consumption life and to be firmly determined to refrain from impulsive purchasing and extravagance.

• Journal of Biomedical Engineering Research
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• v.39 no.2
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• pp.63-68
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• 2018

In modern society, speech recognition technology is emerging as an important technology for identification in electronic commerce, forensics, law enforcement, and other systems. In this study, we aim to develop an age classification algorithm for extracting only MFCC(Mel Frequency Cepstral Coefficient) expressing the characteristics of speech in Korean and applying it to deep learning technology. The algorithm for extracting the 13th order MFCC from Korean data and constructing a data set, and using the artificial intelligence algorithm, deep artificial neural network, to classify males in their 20s, 30s, and 50s, and females in their 20s, 40s, and 50s. finally, our model confirmed the classification accuracy of 78.6% and 71.9% for males and females, respectively.