• Title/Summary/Keyword: International Recognition

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International Harmonization of Accreditation of Toxicologists

  • Satoh, Tetsuo
    • Toxicological Research
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    • v.17
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    • pp.189-191
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    • 2001
  • In the past, IUTOX engaged in dialogue with various international toxicology organizations to address this important issue. IUTOX Executive Committee engaged in activities that support accreditation and/or registration of toxicologists around the world. As a result of discussions held during the IUTOX-sponsored workshop at the 2000 Annual Meeting of the SOT in Philadelphia, it was decided to create an international forum, the "International Assembly for the Recognition of Toxicologists"(IART). The mission of IART was defined as threefold: 1) to establish a forum for development of criteria for recognizing qualified experts in toxicology; 2) to assist "recognizing organizations" in establishing these criteria; and 3) to promote identification and training needs to enhance expertise in toxicology. The membership of IART is open to all organizations (e.g., registries, boards, academies, etc.) whose purpose is the recognition of expertise in toxicology.rtise in toxicology.

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Pilot Experiment for Named Entity Recognition of Construction-related Organizations from Unstructured Text Data

  • Baek, Seungwon;Han, Seung H.;Jung, Wooyong;Kim, Yuri
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.847-854
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    • 2022
  • The aim of this study is to develop a Named Entity Recognition (NER) model to automatically identify construction-related organizations from news articles. This study collected news articles using web crawling technique and construction-related organizations were labeled within a total of 1,000 news articles. The Bidirectional Encoder Representations from Transformers (BERT) model was used to recognize clients, constructors, consultants, engineers, and others. As a pilot experiment of this study, the best average F1 score of NER was 0.692. The result of this study is expected to contribute to the establishment of international business strategies by collecting timely information and analyzing it automatically.

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Mediating effect of major satisfaction on the influence of critical thinking disposition on disaster recognition

  • Kim, Jung-ae;Seo, Eun-Hui;Kim, Chul-Jin
    • International Journal of Advanced Culture Technology
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    • v.6 no.1
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    • pp.23-31
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    • 2018
  • The purpose of this study was to identify mediating effect of major satisfaction in the effect of critical thinking disposition on disaster recognition. For this study, 237 students of nursing students from universities in Jeollanam do participated in the study. The data collection was collected on Dec 1 to 7, 2017. The descriptive statistics was used to analyze general characteristics of participants, the differences in disaster recognition according to general characteristics were analyzed by t-test or ANOVA. Regression analysis was conducted to confirm the effect of critical thinking disposition on disaster recognition and Baron, R.M. And Kenny, D.A.'s mediation effect statistic analysis was used to confirm the mediating effect of major satisfaction in critical thinking disposition on disaster recognition. As a result, the critical thinking disposition affects the disaster recognition, and it was judged that the major satisfaction was mediating role. intellectual fairness sub-factor showed perfect mediating effect and confidence and general truth sub-factor showed partial mediating effect. Based on the above findings, it can be seen that not only critical thinking but also satisfaction with the major should be considered in order to increase the recognition of the sudden disaster. In this case, research for linking critical thinking disposition and major satisfaction is likely to be meaningful. Through the results of this study, we suggest the program development of a linkage between critical thinking disposition and major satisfaction to increase the recognition of disaster.

Character Recognition Algorithm using Accumulation Mask

  • Yoo, Suk Won
    • International Journal of Advanced Culture Technology
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    • v.6 no.2
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    • pp.123-128
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    • 2018
  • Learning data is composed of 100 characters with 10 different fonts, and test data is composed of 10 characters with a new font that is not used for the learning data. In order to consider the variety of learning data with several different fonts, 10 learning masks are constructed by accumulating pixel values of same characters with 10 different fonts. This process eliminates minute difference of characters with different fonts. After finding maximum values of learning masks, test data is expanded by multiplying these maximum values to the test data. The algorithm calculates sum of differences of two corresponding pixel values of the expanded test data and the learning masks. The learning mask with the smallest value among these 10 calculated sums is selected as the result of the recognition process for the test data. The proposed algorithm can recognize various types of fonts, and the learning data can be modified easily by adding a new font. Also, the recognition process is easy to understand, and the algorithm makes satisfactory results for character recognition.

Object Recognition Using the Edge Orientation Histogram and Improved Multi-Layer Neural Network

  • Kang, Myung-A
    • International Journal of Advanced Culture Technology
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    • v.6 no.3
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    • pp.142-150
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    • 2018
  • This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

The Assessment Items of Exhibitor Satisfaction In Trade Show (무역전시회 참가업체 만족도에 관한 연구)

  • Shin, Jai-Gi
    • International Commerce and Information Review
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    • v.10 no.4
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    • pp.203-219
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    • 2008
  • This study shows the following results. First, the assessment items of the whole exhibition operation, workforce, counselor's ability, facility and environment were important analysis factors for exhibition recognition, quality of human operation and quality of exhibition facility and environment. Second, exhibition recognition was found to be the most significant factor that influenced exhibitor's cognitive achievement, exhibition employee operation and exhibition facility. Third, exhibitors' satisfaction simultaneously increased as exhibition recognition and employee operation quality were raised. However, exhibition facility didn't strongly influence exhibitors' satisfaction. Fourth, high exhibition recognition, employee operation and exhibition facility resulted in high cognitive achievement and exhibitor's loyalty. Fifth, exhibition recognition is a highly influential factor to mediate exhibitor's cognitive achievement and exhibitors' loyalty. It implied that exhibitors' cognitive achievement and satisfaction were significantly related to the exhibition quality factor. Moreover, it indicated the effective and efficient operational method to strengthen promotional strategy, enhance the quality of employee operation, exhibition facility and environment. Thus, the results suggest a new method to evaluate exhibitor's satisfaction in the exhibition industry.

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An empirical study of customs business risk recognition and insurance accident occurrence (관세업무리스크 인식과 보험사고 발생에 관한 실증연구)

  • Jung, Sung-Hun;Kim, Tae-In
    • International Commerce and Information Review
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    • v.9 no.3
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    • pp.205-229
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    • 2007
  • This study analyzed relation with risk recognition degree by customs business of customs brokers and actuality insurance accident occurrence. These study finding that risk recognition by customs work area of customs brokers and actuality insurance accident occur did not agree. So customs brokers more elevate risk recognition of entry field, origin/trademark right, HS and customs tariff application, customs refund, price estimation that are high the insurance accident rate. and they may have to do emphasis administration through employee education and ability elevation. Specially, operation risk that is produced from charge employee's simplicity mistake who tax invoice omission, a tax use mistake, document nondelivery, notice dispatch delayed action, may have to manage through moral management and employee bylaws and education, employee guidance etc. Also, they publicize these contents to import and export enterprise, and practice risk management of high risk business in priority through education and public information. so we will have to make can do more effective risk management.

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Kinect Sensor- based LMA Motion Recognition Model Development

  • Hong, Sung Hee
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.367-372
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    • 2021
  • The purpose of this study is to suggest that the movement expression activity of intellectually disabled people is effective in the learning process of LMA motion recognition based on Kinect sensor. We performed an ICT motion recognition games for intellectually disabled based on movement learning of LMA. The characteristics of the movement through Laban's LMA include the change of time in which movement occurs through the human body that recognizes space and the tension or relaxation of emotion expression. The design and implementation of the motion recognition model will be described, and the possibility of using the proposed motion recognition model is verified through a simple experiment. As a result of the experiment, 24 movement expression activities conducted through 10 learning sessions of 5 participants showed a concordance rate of 53.4% or more of the total average. Learning motion games that appear in response to changes in motion had a good effect on positive learning emotions. As a result of study, learning motion games that appear in response to changes in motion had a good effect on positive learning emotions

Character Recognition using Regional Structure

  • Yoo, Suk Won
    • International Journal of Advanced Culture Technology
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    • v.7 no.1
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    • pp.64-69
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    • 2019
  • With the advent of the fourth industry, the need for office automation with automatic character recognition capabilities is increasing day by day. Therefore, in this paper, we study a character recognition algorithm that effectively recognizes a new experimental data character by using learning data characters. The proposed algorithm computes the degree of similarity that the structural regions of learning data characters match the corresponding regions of the experimental data character. It has been confirmed that satisfactory results can be obtained by selecting the learning data character with the highest degree of similarity in the matching process as the final recognition result for a given experimental data character.

Arbitration of International Intellectual Property Disputes (국제지적재산분쟁의 중재)

  • Sohn, Kyung-Han
    • Journal of Arbitration Studies
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    • v.17 no.2
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    • pp.71-100
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    • 2007
  • To promote the way of resolving the increasing disputes regarding international intellectual property by arbitration, we should overcome uncertainty thwarting the dispute resolution; i.e., whether a dispute regarding intellectual property would be an arbitrable subject, whether the arbitration agreement would be valid and enforceable, and whether the arbitral award could be recognized and enforced in a foreign country. This article is intended to seek how to promote and facilitate the resolution of international disputes regarding intellectual property by arbitration. This article in Chapter II will examine the characteristics of the IP disputes first. Chapter III of this article will study arbitrability of IP disputes. Then, Chapter IV will discuss the requirements, validity, and effectiveness of arbitration agreement of international IP disputes. The author will discuss the procedure of arbitration of the international IP disputes in Chapter V, and finally the recognition and enforcement of foreign arbitral awards thereon in Chapter VI. Due to the so called 'territoriality principle' in intellectual property, the international disputes thereof confront numerous procedural setback, e.g., jurisdiction, conflict of laws, the recognition and enforcement of foreign judgments or awards. To overcome such setbacks, I propose resolution of international IP disputes by one-step arbitration procedure through widely recognizing the arbitrability of IP disputes, and utilizing unnational nature of arbitration. In addition, I propose to set up the principles as to arbitration of the international IP disputes as the American Law Institute has formulated the principles for International Intellectual Property Litigations. By setting up these principles, I am certain it will be helpful to just and prompt resolution of international IP disputes which occur more frequently these days.

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