• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.12a
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• pp.103-106
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• 2006

Semiconductor laser diode has a reflective facet in a both-ends side fundamentally. Laser performance for improving, Anti-Reflection and High-reflection coating on the facet of semiconductor laser diode. To prevent internal feedback from both facets for realizing superluminescent diode and reducing the reflection-induced intensity noise of laser diode, it's key techniques are AR/HR coatings. In the study AR coating film were manufactured by Ion-Assisted Deposition(IAD) system. Then manufactured coating film measurement electrical properties(L-I-V, Se, Resistor) and Optical properties (wavelength FFP)

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Korean Journal of Cognitive Science
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• v.19 no.3
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• pp.223-255
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• 2008

In this paper, we introduce an automatic system of scoring English essays. The system is comprised of three main components: a spelling checker, a grammar checker and a lexical cohesion checker. We have used such resources as WordNet, Link Grammar/parser and Roget's thesaurus for these components. The usefulness of an automatic scoring system depends on its reliability. To measure reliability, we compared the results of automatic scoring with those of manual scoring, on the basis of the Kappa statistics and the Multi-facet Rasch Model. The statistical data obtained from the comparison showed that the scoring system is as reliable as professional human graders. This system deals with textual units rather than sentential units and checks not only formal properties of a text but also its contents.

• Journal of Oral Medicine and Pain
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• v.40 no.4
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• pp.140-145
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• 2015

Purpose: Bruxism is commonly considered a major risk factor for temporomandibular disorders (TMD), and the psychosocial factors had been one of the etiologic factor of bruxism. But there are still unsolved issues on the relationship between sleep bruxism and TMD and the etiologic factors of bruxism. This study is aim to evaluate the clinical and psychosocial characteristics according to diagnostic grade of bruxism in TMD patients. Methods: Three hundred subjects were enrolled who were under the stabilization splint therapy for TMD. Recently international consensus proposed a diagnostic grading system of "possible", "probable", and "definite" sleep or awake bruxism for clinical and research purpose. According to their suggestion, we classified these subjects as self-reported bruxism (SRB) and wear facet bruxism (WFB). We investigated the clinical characteristics (sex, age, chief complaint, pain duration, visual analogue scale), sum of tenderness (temporomandibular joint, masticatory muscles, cervical muscles), diagnosis of TMD according to research diagnostic criteria (the Research Diagnostic Criteria for Temporomandibular Disorders, RDC/TMD), headache, subjective sleep quality (Pittsburgh Sleep Quality Index, PSQI), and psychosocial characteristics (Symptom Checklist-90-Revised, SCL-90-R) in enrolled subjects. We compared the clinical and psychosocial characteristics between these bruxism groups. Results: There were no significant correlation between self-reported and WFB (p=0.13). SRB subjects more reported pain as a chief complain than subject who did not report bruxism (p=0.014). The mean score of global PSQI was significantly higher in SRB than in did not report positively subjects (p=0.045). The mean score of anxiety and phobic anxiety was significantly higher in SRB than in did not reported positively subjects (p=0.045, p=0.041). Conclusions: Although bruxism is regarded as risk factor of TMD, this study showed inconsistent result between SRB and clinically detected bruxism by wear facet on slpint. We suggest that the clinician should consider with extreme caution when they assess SRB.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3514-3522
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• 1999

While the method of information collection and visual interface technique have been researched actively on web information retrieval, a study on structured modeling for effective classification of a wide collective information leaves to be desired. In this paper, we represent information feature based on structured information model. It aims at carrying out effectively the user's retrieval environment through visualization technique with analyzing the information feature. We propose a information classification method using Facet units and we construct the object model, table model, SQL code to define the relation of the information, and represent the information feature based on a wide range of views. After users gain a better global understanding of the information feature, retrieve more easily through their information. Conventional information retrieval is user-oriented to be what user want, but proposed technique it data-oriented which helps users to understand what exist in database by showing information feature.

• Proceedings of the Optical Society of Korea Conference
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• 1991.06a
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• pp.35-40
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• 1991

In this paper, a new adaptive learning algorithm, Training by Adaptive Gain (TAG) for optical implementation of large-sized neural networks has been developed and its electro-optical implementation for 2-dimensional input and output neurons has been demostrated. The 4-dimensional global fixed interconnections and 2-dimensional adaptive gain-controls are implemented by multi-facet computer generated holograms and LCTV spatial light modulators, respectively. When the input signals pass through optical system to the output classifying layer, the TAG adaptive learning algorithm is implemented by a personal computer. The system classifies three 5$\times$5 input patterns correctly.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.4
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• pp.217-234
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• 2019

National Records Designation System is designed to protect valuable civilian records from loss or damage. It also intends that government administrates important civilian records to raise public concerns civilian records and to foster archival culture in Korea. This study investigates the current states of service fo the designated record through the web page of National Archive of Korea. Major findings are as follows. First, the information of designated records is dispersed in two web pages by the National Archive of Korea, an introductive web page of every collection in the National Archive of Korea and a web page of designated record service. Second, the web page of designated record service provides information of designated records only at collection level, so it is not easy for users to understand the contents of the records. In order to improve the service for the designated record service of the National Archive of Korea, this study proposed the unification of dispersed web pages to provide information of the designated records consistently. It also suggested a facet based directory service and word cloud service to give access to the contents of each designated record collection. The facet based directory and word cloud service will help users to understand the designated records in more detail.

• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.27-47
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• 2004

In this study, the experiment was made to transform the relationship among terms in a thesaurus to ontology language as search tools for multilingual text. As a result, the equivalent relationship in the thesaurus can be expressed by different ways in the ontology, such as equivalentClass, equivalentProperty, sameAS, and so on. On the other hand, the associative relationship can be represented by ObjectProperty, DatatypeProperty, and inverseOf. For this test, first of all, the descriptors assigned by AAT and the descriptors from bilingual thesaurus by ICCD were translated into Korean. Then, the facet was used for conceptual equivalence among terms from different languages. The result of the study showed that using rdf:Property in ontology was the most effective way of transforming multilingual thesaurus into ontology.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.3
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• pp.277-285
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• 2010

This paper describes an approach to analyze geometrical information of building images for understanding outdoor environment of autonomous navigation robot. Line segments and color information are used to classily a building with the other objects such as sky, trees, and roads. The line segments and their two neighboring regions are extracted from detected edges in image. The model of line segment (MLS) consists of color information of neighbor regions. This model rules out the line segments of non-building face. A building face converges into dominant vanishing points (DVPs) which include one vertical point and one of five horizontal points in maximum. The intersection of vertical and horizontal lines creates a facet of building. The geometrical characteristics such as the center coordinates, area, aspect ratio and aligned coexistence are used for extracting the windows in the building facet. In experiments, 150 building faces and 1607 windows were detected from the database of outdoor environment. We found that this result shows 94.46% detection rate. These experimental images were all taken in Ulsan metropolitan city in Korea under difference of viewpoints, daytime, camera system and weather condition.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.06a
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• pp.3-7
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• 2001

본 연구에서는 다종재료를 가공할 수 있는 RP(Rapid Prototyping)인 CAFL$^{VM}$의 구현을 위해 반드시 필요한 단면정보 추출기에 대하여 연구하였다. STL 3D 모형에서 단면정보를 추출하기 위해서, 패싯(facet)과 슬라이싱(slicing) 평면이 가질 수 있는 모든 경우를 고려한 알고리즘을 개발하였다. STL 파일의 구조적인 문제점 때문에 모호성과 처리량 증가 문제가 발생하지만, 본 연구에서는 창조 버퍼를 사용하여 이러한 문제점들을 효과적으로 해결하였으며, 이를 많은 STL 3D 샘플로 검증하였다.