• The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.3
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• pp.28-36
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• 2016

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.1 no.2
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• pp.58-69
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• 2002

• It's Smart Media
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• v.2 no.2
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• pp.36-40
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• 2013

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.4
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• pp.16-22
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• 2010

In this paper, we evaluated the effect with respect to the light of 700-1,100 nm NIR(near infrared radiation) for spectrophotometer. Standard, red, yellow, green and blue color paper which was Munsell color paper were used for experiments. Our used light is incandescent lamp, fluorescent lamp, invert fluorescent lamp and combined lamp. Each color paper was measured 20 times. Therefore we concluded that it is possible to build a spectrophotometer for NIR(near infrared radiation) measurement we applied an spectrophotometer to measurement system in incandescent lamp.

• Journal of Korean Society of Forest Science
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• v.90 no.4
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• pp.437-444
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• 2001

This paper discusses applications of neural network to forest stand field data processing and determining suitable tree species for site-specific stand characteristics. For site-specific species selection, considered were 5 major coniferous species : P. densiflora for. erecta, L. leptolepis, P. koraiensis, P. densiflora, P. thunbergii. Among 1,320 sample plot data sets, 200 data sets with the highest site index (40 data sets for each species) were chosen as the test sets for investigation. Each data set includes 13 factors describing the site characteristics of the corresponding sample plot. The results of this investigation indicate high performance of neural network in data processing procedures for extracting data sets or measurement parameters without any recognizable pattern. These data sets or measurement parameters are those which have rare effect on site-specific species suitability or disturb pattern classification procedures of neural network because of unrecognizable patterns involved. Also the results have shown high potential of neural network in determining the best-suitable tree species for site characteristics. The % accuracy of the neural network model in determining the best-suitable tree species for site characteristics ranges from 77.6% to 91.8% associated with the combination of Site factors.

• Journal of Dental Rehabilitation and Applied Science
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• v.34 no.2
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• pp.104-115
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• 2018

Purpose: The purpose of this study is to evaluate the image acquisition ability of intraoral scanners by analyzing the comprehensiveness of scanned images from standardized model, and to identify problems of the model. Materials and Methods: Cast models and 3D-printed models were prepared according to international standards set by ISO12836 and ANSI/ADA no. 132, which were then scanned by model scanner and two different intraoral scanners (TRIOS3 and CS3500). The image acquisition performance of the scanners was classified into three grades, and the study was repeated with varying surface conditions of the models. Results: Model scanner produced the most accurate images in all models. Meanwhile, CS3500 showed good image reproducibility for angled structures and TRIOS3 showed good image reproducibility for rounded structures. As for model ingredients, improved plaster model best reproduced scan images regardless of the type of scanner used. When limited to 3D-printed model, powdered surface condition resulted in higher image quality. Conclusion: When scanning structures beyond FOV (field of view) in standardized models (following ISO12836 and ANSI/ADA 132), lack of reference points to help distinguish different faces confuses the scanning and matching process, resulting in inaccurate display of images. These results imply the need to develop a new standard model not confined to simple pattern repetition and symmetric structure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2333-2339
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• 2011

In the field of maritime transport, various researches on next generation of standards are underway to realize e-navigation. While IHO leading the way, many studies on several S-100 based standards for exchange, sharing and utilizing maritime geographical information and related data are going on. IHO S-100 as a profile of ISO 19100 series of standards. Based on their application and service they provide, there can be different S-10x standards. In order to support the safe operation, various information should be integrated. When integrating a various information, it is crucial to make sure the same data model should be treated consistently and interpreted clearly across different profiles, such as S-101, S-102, etc. in this case. In this paper, I suggested a way to covert maritime metadata of S-100 to ontology so that we can perform consistent semantic analysis and processing of data in S-100 standards, which is the basis of other S-10x standards.

• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.782-800
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• 2006

Image metadata is used to describe the contents, structures, and features of a given image data. There exist lots of image metadata-related standards. Such image metadata need to be shared to efficiently search the correct images in Web Service-enabled distributed environments. In this thesis, we propose an interoperable system architecture for utilizing image metadata and query extension methods using metadata mapping for correct and efficient image searching. In the proposed methods, the provider schema using non-standard image metadata are mapped into the schema based on the VRA standard, which is used as a basic and intermediary standard in MDR(MetaData Registry). We support mapping operations between the VRA standard and other standards, to reduce the number of unnecessary mapping operations and to enable easier addition of schema based on new standards. Using the proposed query processing methods, which utilize image metadata and overcome their heterogeneity by metadata mapping, it is possible to severely improve the correctness of image retrieval. To show the usefulness of our schemes, we implemented a prototype system and performed retrieval performance evaluation on extended query processing.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.167-175
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• 2012

Ubiquitous health care system, which is one of the developing solution technologies of IT, BT and NT, could give us new medical environments in future. Implementing health information systems can be complex, expensive and frustrating. Healthcare professionals seeking to acquire or upgrade systems do not have convenient, reliable way of specifying a level of adherence to communication standards sufficient to achieve truly efficient interoperability. Great progress has been made in establishing such standards-DICOM, IHE and HL7, notably, are now highly advanced. In this paper, there are suggestions that provide a test bed, demonstration and specification of how standards such a IHE, HL7, ASTM can be used to provide an integrated environment.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.27-36
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• 2009

Standard electronic tax invoice is a document standard for electronically exchanging tax invoices, which have been used in the form of paper for proofing business transactions. This standard focuses on the aspect of exchanging electronic documents between businesses and between businesses and NTS(National Tax Service), so it is limited in expressing semantics and contexts of financial information explicitly and economically for reusing them after their exchanges. Above all, it is needed to consider that they can be employed to various applications of businesses including financial reporting and auditing because they contain basic financial information about taxes and that they are reported to NTS. In this perspective, this paper compares and analyzes how to compose standard electronic tax invoice documents in XBRL with concrete examples, focused on the expressability and applicability, and discusses the possibility of XBRL-based standard electronic tax invoices.