• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.449-451
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• 2006

With the increasing danger of personal information being exposed, a technique to protect personal information by identifying a non-user in case it is exposed. A study to construct a neural network recognizer for developing a economical and effective user protecting system. For this, time variables regarding user typing patterns from a pattern extraction device. With the variations in the standard deviation for the collected time variables, non-user patterns were generated. The recognition performance increased with the increase in the standard deviation and a higher recognition was achieved at 2.5. Also, five types of training data were generated and the recognition performance was examined as a function of the number of non-user patterns. With the increase in non-suer patterns, the recognition error quantified in the root mean square error (RMSE) was reduced. The smallest RMSE was obtained at the type 5 and 90 non-user patterns. In overall, the type 3 model yielded the highest recognition accuracy Particularly, a perfect recognition of 100% was achieved at 45 non-user patterns.

• 한국실내디자인학회논문집
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• 제14권3호
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• pp.55-63
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• 2005

The study is focused on the extraction of design consideration for non territorial workplace though the analysis of the workers satisfaction. Though the application of investigating method, at the first stage survey, satisfaction of non-territorial workplace user and the non territorial workplace design considerations are figured out. In addition the appraisal items are arranged and all of the factors were identified to influence the entire satisfaction in statistically meaningful levels. The first order of the design consideration for non-territorial workplace was evaluated as 'Psychological Element', 'Service Element', 'Mutual Interchange Action', 'Individual Working Element', 'Work Efficiency', 'Physical Element', respectively. Therefore the considerations are extracted based on the workers satisfaction and it need to be most focused on Psychological Element' among other things for non territorial workplace.

• 한국산림과학회지
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• 제95권1호
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• pp.38-44
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• 2006

본 연구에서는 GIS와 퍼지집합을 이용하여 고로쇠나무 수액채취 적지를 판정할 수 있는 모형을 제시하고, 이에 따라 적지도를 작성하였다. 이를 위해 고로쇠나무 수액생산에 영향을 미치는 인자를 생물인자와 입지환경인자로 구분하여 선정하였고, 수액 채취 여건은 지형인자와 접근성인자를 선정하여 평가하였다. 각 인자별 가중치의 결정은 실제 고로쇠나무 수액이 채취되고 있는 지역의 인자별 특성을 분석하여, 채취 지역과 비채취 지역의 차이가 클수록 높은 가중치를 부여하는 방식을 이용하였다. 이 결과 수계로부터의 거리, 임상, 광노출도 등이 수액생산량 예측모형에서 높은 가중치를 보였으며, 영급, 도로접근성, 경급인자는 수액채취 적지 판정에 있어서 관련성이 적었다. 개발된 모형의 타당성을 검토하기 위하여 실제 고로쇠나무 수액이 채취되고 있는 지역을 대상으로 모형을 적용한 결과, 적지지수 평균값이 0.81로써 높게 분석되었다.

• 펄프종이기술
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• 제29권2호
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• pp.36-45
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• 1997

Newly bleaching sequence using oxygen, ozone and hydrogen peroxide has introduced to avoid pollution hazards from chlorinated organic compounds, because chlorine dioxide substitution bleaching was produced a little chlorinated organic substance. Oxygen-type chemicals replaced for chlorine has attracted much research attention. Bleachability of ozone was improved at low temperature and high pulp consistency. In third bleaching followed OZ bleaching, addition of O2 and NaBH4 in alkali extraction was effective than only alkali extraction. Bleachability of pulps in ozone bleaching(Z) was improved at higher consistency and lower temperature The addition O2 and NaBH4 in alkali extraction after OZ bleaching sequence improved brightness, when compared to those obtained by only alkaline extraction. Pulps bleached by ECF bleaching sequences such as OZEoD and OZEopD was obtained by 90% ISO brightness. The brightness of pulp bleached by TCF sequences with the ozone dosage of 1.6% was approached to target brightness (88~90%ISO). Pulps bleached Z stage combined bleaching sequence was reduced the viscosity to a little greater extent. However, physical properties of pulps was not great different compared to those bleached by conventional bleaching sequences. A pollution index of bleaching effluente by ozone combined bleaching sequences was lower than by conventional bleaching sequence, but somewhat higher than multistage bleaching sequences combined C/D stage.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제23권1호
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• pp.82-86
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• 2001

저자 등은 하악 우측 제3대구치 발거 후 발치와를 통해 하악골에 이환되어 발생한 경안부 방선균증에서 병소부의 적출술과 소파술을 시행하고, 항생제 요법 및 개방창 유지등의 방법을 통해 양호한 경과를 보였기에 문헌고찰과 함께 보고하는 바이다.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제41권
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• pp.32.1-32.7
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• 2019

Background: Tooth extraction commonly leads to loss of residual alveolar ridge, thus compromising the room available for the implant placement. To combat the post-extraction alveolar loss, alveolar ridge preservation is practiced, with the advent of the biomaterial available. The purpose of this study was to assess the efficiency of calcium phosphosilicate biomaterial in alveolar ridge preservation. Twenty patients indicated for extraction were selected followed by socket grafting using calcium phosphosilicate. Implant placement was done 6 months postoperatively during which a core was harvested from the preserved sockets. Clinico-radiographic measurements of hard and soft tissues were taken at baseline and 6 months post-grafting. Results: There were no significant changes in the radiographic and soft tissue parameters while significant changes in hard tissue parameters with 1.9 mm (p = 0.013) gain in mid-buccal aspect and 1.1 mm (p = 0.019) loss in horizontal bone width were observed. The histomorphometric evaluation depicted the vital bone volume of 54.5 ± 16.76%, non-mineralized tissue 43.50 ± 15.80%, and residual material 2.00 ± 3.37%. Conclusion: The implants placed in these preserved ridges presented 100% success rate with acceptable stability after a 1-year follow-up, concluding calcium phosphosilicate is a predictable biomaterial in alveolar ridge preservation.

• 제어로봇시스템학회논문지
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• 제16권10호
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• pp.957-962
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• 2010

If we want to recognize the human's emotion via the facial image, first of all, we need to extract the emotional features from the facial image by using a feature extraction algorithm. And we need to classify the emotional status by using pattern classification method. The AAM (Active Appearance Model) is a well-known method that can represent a non-rigid object, such as face, facial expression. The Bayesian Network is a probability based classifier that can represent the probabilistic relationships between a set of facial features. In this paper, our approach to facial feature extraction lies in the proposed feature extraction method based on combining AAM with FACS (Facial Action Coding System) for automatically modeling and extracting the facial emotional features. To recognize the facial emotion, we use the DBNs (Dynamic Bayesian Networks) for modeling and understanding the temporal phases of facial expressions in image sequences. The result of emotion recognition can be used to rehabilitate based on biofeedback for emotional disabled.

• 환경위생공학
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• 제17권3호
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• pp.37-45
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• 2002

The Purpose of this study is to reduce environmental problems caused by landfill of bituminous coal fly ash emitted from the power plant and to reuse it. First of all, we experimented that Al and Si elements were extracted from fly ash and investigated that extracted Al and Si elements night use a coagulant. The extraction was carried out under various conditions ; concentration of the extraction solution, calcination temperature and calcination time. As the results, it was found that the optimum conditions of the extraction of Al and Si elements from fly ash were as follows, concentration of NaOH was 5N for both of them, calcination temperature was $700^{\circ}C$ and $600^{\circ}C$ and calcination time was 1hr and 1.5hr, respectively The extracted solution was used as a coagulant to treat the diluted metal-plating solutions which contained Pb and Cu, respectively. As the result of treatment on the diluted Pb-plating solution with 315NTU, the removal efficiency of turbidity was more than 90%, and the removal efficiency of Pb was about 80%. As for treatment of the non-turbid diluted Cu-plating solution, the removal efficiency of Cu was about 98%.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2000년도 추계학술대회
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• pp.298-301
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• 2000

Heavy metals are extracted from stream sediments, roadside soils and sediments and soils and tailings from mining area using partial extraction, acid digestion and HF-digestion. Compared to amounts of heavy metals extracted using partial extraction, those extracted using acid digestion are higher by 2.0∼220.9 times in Cu, 2.4∼2806.1 times in Pb, 1.3∼121 times in Cd, 14.1∼1300885 times in Fe, 1.2∼271.5 times in Mn, 1.3∼372.5 times in Zn, 2.2∼1734.5 times in Cr. Although partial extraction, which extracts less amounts of heavy metals from soil compared to acid digestion, is used in domestic standard method for examination of soil, domestic soil standard for heavy metals in non-agricultural and industrial areas is higher than soil standard in foreign countries which use acid digestion, For improvement of the domestic standard method for assessment of soil, it is suggested to lower the domestic soil standard for heavy metals or to change pretreatment method for extracting heavy metals from partial extraction to acid digestion with modifying the soil standard.

• 한국정밀공학회지
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• 제15권6호
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• pp.167-174
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• 1998

The ultrasonic test is recognized for its significance as a non-destructive testing method to detect volume defects such as porosity and incomplete penetration which reduce strength in the weld zone. This paper illustrates the defect detection in the weld zone of ferritic carbon steel using ultrasonic wave and the evaluation of pattern recognition by chaotic feature extraction using time series signal of detected defects as data. Shown in the time series data were that the time delay was 4 and the embedding dimension was 6 which indicate the geometric dimension of the subject system and the extent of information correlation. Based on fractal dimension and lyapunov exponent in quantitative chaotic feature extraction, feature value of 2.15, 0.47 is presented for porosity and 2.24, 0.51 for incomplete penetration The precision rate of the pattern recognition is enhanced with these values on the total waveform of defect signal in the weld zone. Therefore, we think that the ultrasonic pattern recognition method of weld zone defects of ferritic carbon steel by ultrasonic-chaotic feature extraction proposed in this paper can boost precision rate further than the existing method applying only partial waveform.