• Journal of Conservation Science
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• v.9 no.1
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• pp.11-20
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• 2000

The body composition of an ancient roofing tiles excavated from Chonnam province has been investigated by X-ray diffraction, and inductively coupled plasma spectroscopy. Ancient roofing tiles were excavated at ancient mountain fortress and kiln sites. The body composition of roofing tiles was different according to the excavated sites. The mineral component of roofing tiles were grouped in the five types and chemical composition was different according to the excavated areas. It is presumed that the body of roofing tiles used low-grade raw materials containing $Fe_2O_3$ 4-10%. The trace element composition of the roofing tiles were different, and it might be all ret1ection of different geological characteristics. The characteristic element of rooting tiles was vanadium element of the analyzed 20 trace elements. By $SiO_2-V$ distribution diagram types, roofing tiles excavated from the Geomdan mountain fortress at Sunchon, kiln site in Yeochon, Gorak and Cheoksan mountain fortress at Yeosu were grouped into the same excavated site.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.6
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• pp.96-105
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• 2017

In this paper, we investigated the age classification from the speaker by analyzing the voice calls of the emergency center. We classified the adult and elderly from the call center calls using behavioral speech utterances and SVM(Support Vector Machine) which is a machine learning classifier. We selected two behavioral speech utterances through analysis of the call data from the emergency center: Silent Pause and Turn-taking latency. First, the criteria for age classification selected through analysis based on the behavioral speech utterances of the emergency call center and then it was significant(p <0.05) through statistical analysis. We analyzed 200 datasets (adult: 100, elderly: 100) by the 5 fold cross-validation using the SVM(Support Vector Machine) classifier. As a result, we achieved 70% accuracy using two behavioral speech utterances. It is higher accuracy than one behavioral speech utterance. These results can be suggested age classification as a new method which is used behavioral speech utterances and will be classified by combining acoustic information(MFCC) with new behavioral speech utterances of the real voice data in the further work. Furthermore, it will contribute to the development of the emergency situation judgment system related to the age classification.

• Spatial Information Research
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• v.16 no.3
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• pp.373-383
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• 2008

LiDAR, unlike satellite imagery and aerial photographs, which provides irregularly distributed three-dimensional coordinates of ground surface, enables three-dimensional modeling. In this study, urban area was classified based on 3D information collected by LiDAR. Morphological and spatial properties are determined by the ratio of ground and non-ground point that are estimated with the number of ground reflected point data of LiDAR raw data. With this information, the residential and forest area could be classified in terms of height and density of trees. The intensity of the signal is distinguished by a statistical method, Jenk's Natural Break. Vegetative area (high or low density) and non-vegetative area (high or low density) are classified with reflective ratio of ground surface.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.235-248
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• 2022

Through the research on the design evaluation index of parent-child interactive game furniture, it is convenient for designers to quantitatively analyze the design advantages and disadvantages of related products, which is of positive help to control and improve the design quality. Combined with AHP and TOPSIS, this study proposes the evaluation model of three design criteria and 26 design indexes. After expert scoring, calculation, and consistency test of each index, the weight value of each design index is obtained, and the index is classified according to the importance of each index. Finally, eight essential indicators, eleven secondary indicators, and seven general indicators are classified. A case study was conducted with TOPSIS, and the design samples of three parent-child climbing game furniture were analyzed. Finally, the three samples' relative proximity was 0.505, 0281, and 0.640, respectively. The research shows that the AHP-TOPSIS method can scientifically and effectively sort and screen the advantages and disadvantages of design schemes and provide a reference for the research and development of related products.

• The Journal of Korean Academy of Prosthodontics
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• v.56 no.4
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• pp.269-277
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• 2018

Purpose: This study examined the effects of glass infiltration treatments on the shear bond strength (SBS) between zirconia core and ultra low-fusing porcelain veneer. Materials and methods: The zirconia specimens were classified into 4 groups (n = 12): Untreated zirconia (group Z), zirconia coated ZirLiner (group ZL), glass-infiltrated zirconia (group ZG), glass-infiltrated and sandblasted zirconia (group ZGS). A cylinder of ultra low-fusing veneer porcelain was build up on each disk ($6mm{\times}3mm$). SBS was measured using a universal testing machine. Scanning electron microscope and Energy Dispersive X-ray spectroscopy were used to evaluate the surface of zirconia and failure pattern after SBS. Results: SBS value of group ZGS was significantly lower than that of other groups (P < .05). No significant differences were detected among group ZL, group Z and group ZG. Conclusion: Glass infiltration is not effective to the bond strength between zirconia and ultra low-fusing porcelain veneer. Sandblasting also dramatically decreased the bonding strength.

• Journal of the korean academy of Pediatric Dentistry
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• v.37 no.4
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• pp.422-428
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• 2010

Giomer is fluoride-releasing, resin-based dental materials that comprise PRG(pre-reacted glass ionomer) filler. The purpose of this study was to evaluate the shear bond strength of Giomer using self-etching primer systems to bovine dentin. Bovine incisors were mounted in self-curing orthodontic resin and the facial surfaces were wet ground on SIC paper to expose the dentin. Total 100 samples were made and divided randomly into 4 groups, Giomer group(I), Composite resin group(II) and Compomer group(III), Giomer and single bottle adhesive group(IV). The shear bond strengths of 25 samples per each group were measured using universal testing machine. And data were analyzed statistically with One-way ANOVA and Scheffe test. Giomer group(I) showed the significantly higher bond strength than Compomer group(III)(p<0.05). There was no significant difference between Giomer group(I) and Composite resin group(II)(p>0.05). And there is no significant difference between gourp(I) and group(IV). Based on the results of present study, the use of Giomer as an esthetic restorative material for primary teeth might be justified. It is considered that more study about the fluoride releasing ability is needed to evaluate the anticariogenic effect of giomer.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.7-14
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• 2010

In this paper, we introduce a hierarchical internet application traffic classification system based on SVM as an alternative overcoming the uppermost limit of the conventional methodology which is using the port number or payload information. After selecting an optimal attribute subset of the bidirectional traffic flow data collected from the campus, the proposed system classifies the internet application traffic hierarchically. The system is composed of three layers: the first layer quickly determines P2P traffic and non-P2P traffic using a SVM, the second layer classifies P2P traffics into file-sharing, messenger, and TV, based on three SVDDs. The third layer makes specific classification of the entire 16 application traffics. By classifying the internet application traffic finely or coarsely, the proposed system can guarantee an efficient system resource management, a stable network environment, a seamless bandwidth, and an appropriate QoS. Also, even a new application traffic is added, it is possible to have a system incremental updating and scalability by training only a new SVDD without retraining the whole system. We validate the performance of our approach with computer experiments.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.52-52
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• 2010

본 연구에서 우리는 HPHT 처리 전 FT-IR spectrometer를 이용한 사전분석을 통해 type Ia brown 다이아몬드를 IaA, IaB, IaAB (A>B), IaAB (A=B), IaAB (A$1700-1800^{\circ}C$, 5 GPa에서 다이아몬드가 흑연화 되지 않는 범위 하에 HPHT처리를 시행하였다. 자외선-가시광선 분광분석기(UV-Vis Spectrometer, Shimadzu UV 3101PC)를 사용하여 350~800 nm에서의 가시광선 범위를 0.1nm의 분해능으로 투과(Transmittance) 모드로 측정하였고, 퓨리에 변환 적외선 분광분석기(FT-IR spectrometer, Jasco-4100)을 사용하여 $400{\sim}6000cm^{-1}$의 범위에서 $4cm^{-1}$ 의 분해능으로 흡수(Absorption) 모드로 측정한 후 HPHT 처리 전후를 비교 분석하였다. 또한 광루미네선스(Photoluminescence) 분석은 325 nm He-Cd laser를 광원으로 한(PL, Spectra-pro 2150i, Spectra-pro 2300i micro-spectrometer) 및 532 nm green laser를 광원으로 한(PL, SAS 2000)를 사용하여 각각 350~600 nm, 550~1100 nm의 범위에서 0.1nm step으로 측정하여 HPHT 처리전과 후를 비교 분석하였다. HPHT처리 후 모든 시료는 N3 center (415.4 nm), H4 center (496.4nm) 및 platelet와 연관된 ($1363\;cm^{-1}$)의 peak가 감소하였고, H3 center (503.2 nm)와 G-band가 증가하는 경향을 나타내었다. 또한 HPHT 처리 시 질소의 B집합보다 A집합이 더 감소하는 경향을 나타내었으며, A 또는 B집합의 파괴에서 발생된 질소 원자에 의해 질소의 interstitial center (594 nm)가 증가함을 알 수 있었다. HPHT 처리 후 모든 시료는 (N-V)- center가 생성됨을 확인 할 수 있었다. 결론적으로 본 연구를 통해 HPHT 처리를 통해 다이아몬드 내에 존재하는 질소결합관련 상태의 변화를 확인할 수 있었다.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.257-261
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• 2006

In this paper, learning oriented puzzle game which based on combination of consonant and vowel of Korean alphabet is implemented. Firstly, consonants and vowels of Korean alphabet are classified separately, and then reconstructed a word in real time. Word combinator is utilized by API based edit window and, in order to effective retrieve, initial combined syllable consonant based method is involved. Implemented Korean puzzle game can be used for improving the words learning capability for children.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.295-298
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• 2001

본 논문에서는 CCD카메라로 입력 받은 다중 크기 및 활자체로 구성된 한글문서의 화상 데이터를 편집기에서 수정 가능한 문자로 변환시키는 시스템을 구현하였다. 먼저 Dynamic 이 진화 처리 과정을 거친 화상을 흑백 화소의 누적분포에 따라 문자단위로 분할한 후, 다양한 크기로 분할된 문자를 표준패턴 크기로 표준화 시켰다. 한글을 자소 간 공백 위치의 특징에 따라서 6가지 유형으로 분류한 후, 퍼지 이론을 접목시킨 원형 패턴 벡터 알고리즘을 사용해서 표준벡터와 입력된 글자의 특징벡터를 비교하여 문자로 인식하게 하였다. 각 6가지 유형에서 서로 다른 자소로 결합된 문자들을 30개 선정하여 여러 가지 활자체 및 크기에 적용해 본 결과, 모두 문서화가 가능함을 알 수 있었다.