• Journal of Arbitration Studies
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• v.16 no.3
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• pp.161-189
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• 2006

This paper is aiming at analyzing case law of India in relation with reasonable time to make decision whether to accept or to refuse the documents received from the presenter in credit transactions. As specified in UCP, the failure to refuse to accept the documents within a reasonable time precludes the Issuing Bank, Confirming Bank (if any) and Nominated Bank from asserting that they are discrepant. Compliance of the stipulated documents on their face with the terms and conditions of the credit shall be determined by international standard banking practice as reflected in this Articles of UCP 500. The Issuing bank is only to be held responsible for honoring the documents presented by beneficiary through the nominated banks if they are strictly in compliance with terms and conditions of the Credit. As any well experienced banker knows, however, a word-by-word, letter-by-letter correspondence between the documents and the credit terms means a practical impossibility. Thus the notion of reasonable care in conjunction with the doctrine of strict compliance mixed with International Standard Banking Practices has not played a right functional standard for checking the documents as stipulated in the credit and UCP 500. And so the rejection rate is highly estimated at approximately 50% in EU and 40 to 70% according to their geographical locations in the USA. As a result, it can possibly be inferred from this fact that the credit industry would be facing the functional failure as the international trade credit facility, if not supported with motive power as a relevant scheme in UCP 500. It is quite important to note that UCP 500 Article 13(b) which specify the time limit for the banks to notify the presenter their decision not to accept the documents within a reasonable time not to exceed seven banking days following the day of receipt of documents would be the motive engine to improve the negotiability of documents in international trade financial facility.

• Korean Journal of Construction Engineering and Management
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• v.6 no.4 s.26
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• pp.190-198
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• 2005

This study describes the digitalization of technical documents of construction projects using database for storage and XML for exchange format on the web. First, for this purpose, the requirements for effective digitalization are identified. Second, the strategies for using database and XML are presented. These strategies include the way to store and search for the technical documents, to draw up the XML document for some parts of the technical documents, to arrange the components in their proper hierarchy, to manage the graphics and mathematical expressions in database and XML documents. Finally we discussed the validities of the results of this study by partial implementation for structural design sheets which has all the characteristics of technical documents.

• IE interfaces
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• v.10 no.2
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• pp.79-90
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• 1997

Documents in a traditional PDM(Product Data Management) system have been managed in a form of scanned document files or electronic documents developed by specific tools. Though each tool manages documents with its own systematical methods, it has drawbacks in data search, data integration and interchange, etc. For this reason, in this research we propose an efficient document management system for PDM by using the SGML(Standard Generalized Markup Language), one of CALS and ISO standards for document interchanges. Among documents to be managed in PDM, the engineering change notification (ECN) is taken into account. The DTD (Document Type Definition) has been constucted based on the logical analysis of the documents format, In addition, based on the DTD, DB classes have been designed by object-oriented paradigms and a prototype for document input/output and search has been developed using UniSQL ORDBMS (Object-Relational DBMS) and PowerBuilder under the client/server environment.

• Journal of information and communication convergence engineering
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• v.11 no.4
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• pp.268-273
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• 2013

In this paper, we propose a document classification model using Web documents as a part of the training corpus in order to resolve the imbalance of the training corpus size per category. For the purpose of retrieving the Web documents closely related to each category, the proposed document classification model calculates the matching score between word features and each category, and generates a Web search query by combining the higher-ranked word features and the category title. Then, the proposed document classification model sends each combined query to the open application programming interface of the Web search engine, and receives the snippet results retrieved from the Web search engine. Finally, the proposed document classification model adds these snippet results as Web documents to the training corpus. Experimental results show that the method that considers the balance of the training corpus size per category exhibits better performance in some categories with small training sets.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1287-1290
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• 2011

Because of the rapid development of internet, there are more and more documents stored by the XML-based format. When there is a great deal of XML documents, how to get the valuable Information is an important subject. This paper proposes an effective XML document search method to search text contents and structures of XML documents. We build the keyword matrix of text contexts and structure matrixes of structures in XML documents to improve the efficiency of query time. When there is a great deal of XML documents, the search method we propose can improve much efficiency of query time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.2
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• pp.112-121
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• 2008

Nowaday the supply chain competitiveness is emphasized more and more than a company's own competitiveness. One of the most important processes in import and export is a publication over the Bill of Loading. In the publication of those bills S/R(shipping request) and check B/L for reviewing are circulated among consignors, forwarders, shipping companies and airlines by fax and e-mail. Or there should be expensive a One to One system, like an EDI. Each party has to re-input S/R data to their own systems and check it several times. The S/R data are converted digital to analog type and analog to digital repeatedly to check in the process. As the process goes by there can be not only input data errors but also waste of time and cost. ECR(electronic character recognition) is a technology can solve the Problem. Considering the data structure of documents in many systems used ECR samples SIR data from documents written in the digital type. But it is not enough with it only. To make N to N composition in reality more efficient we make a documents hub on the web reengineering the existing process to One to One relation. The ECR documents hub system has given us beneficial effects over a year throughout a field test.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.9
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• pp.180-187
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• 2003

In engineering design environment it is hard to link design data and systems because the types of them are disparate. Therefore, the importance of metadata has increased. Some researches have been executed to develop metadata. But they cannot interact with other metadata and are difficult to extend. The purpose of this paper is to develop a common document structure which represents the general information of mechanical part assembly using XML, and to use it as base documents in order to integrate design data and systems. It is composed of part, assembly and user documents. Part document represents the information of a part independently to part type. Assembly document represents the location of constituent part documents. User document represents user's information. Common documents can be used as a broker between design data and systems, and it can improve the interpretability and reusability of document. We applied the developed common document structure to 2-stage spur gear drive.

• Korean Journal of Computational Design and Engineering
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• v.20 no.4
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• pp.328-336
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• 2015

We proposed a methodology to automatically extract the requirements from the documents and check the consistency and traceability among them. The documents include not only text but also PDF or image files. We also suggest a method to visualize the result with maps, numbers, and graphs. By comparing the results with those of manual reviews from experts, we show that it is necessary to use knowledge-based method in future instead of the wordbased method for improving the reliability. The results can be applied effectively for already existing documents.

• Journal of the Semiconductor & Display Technology
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• v.16 no.2
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• pp.106-109
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• 2017

Recently, ancient documents are actively studied and discussed. However, ancient documents has a few problems on interpretation. The antique documents are too fragile to hand over. So, some studies have been carried out using terahertz to read ancient documents without damaging them. Three techniques are necessary to read letters using terahertz. First, PPEX algorithm, which distinguishes pages. Second, TGSI technique, which distinguishes text from paper on a page. Third, CCSC algorithm, which transforms signals to letters. In this paper, we will describe the preprocessing process to facilitate the recognition of letters before applying the post processing as we mentioned above. Histogram equalization, Histogram stretching and the Sobel filter were applied to the preprocessing.

• Journal of Computing Science and Engineering
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• v.4 no.2
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• pp.110-127
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• 2010

In this study, we propose a method for encoding documents into string vectors, instead of numerical vectors. A traditional approach to text categorization usually requires encoding documents into numerical vectors. The usual method of encoding documents therefore causes two main problems: huge dimensionality and sparse distribution. In this study, we modify or create machine learning-based approaches to text categorization, where string vectors are received as input vectors, instead of numerical vectors. As a result, we can improve text categorization performance by avoiding these two problems.