• 대한전자공학회논문지SD
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• 제41권7호
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• pp.7-12
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• 2004

본 논문에서는 교류전류 집중현상이 고려된 바이폴라 등가모델에서 내부 베이스-컬렉터 캐패시턴스(C/sub μ/)와 외부 베이스-컬렉터 캐패시턴스(C/sub μx/)를 분리해서 추출하는 개선된 방법을 연구하였다. 먼저, 기존 추출방법들의 문제점들을 파악하고, 교류전류 집중 캐패시턴스가 포함된 차단모드 등가회로로부터 개선된 추출방정식들을 유도하였다. 이렇게 추출된 C/sub μx/와 C/sub μx/를 사용하여 모델 된 전류 및 전력이득 주파수 응답곡선들은 기존 추출방법으로 얻어진 곡선보다 측정 데이터와 훨씬 잘 일치되었으며, 이는 개선된 추출방법의 정확도를 증명한다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.425-428
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• 2009

We have researched and developed the caricature generation system PICASSO. PICASSO outputs the deformed facial caricature by comparing input face with prepared mean face. We specialized it as PICASSO-2 for exhibiting a robot at Aichi EXPO2005. This robot enforced by PICASSO-2 drew a facial caricature on the shrimp rice cracker with the laser pen. We have been recently exhibiting another revised robot characterized by a brush drawing. This system takes a couple of facial images with CCD camera, extracts the facial features from the images, and generates the facial caricature in real time. We experimentally evaluated the performance of the caricatures using a lot of data taken in Aichi EXPO2005. As a result it was obvious that this system were not sufficient in accuracy of eyebrow region extraction and mouth detection. In this paper, we propose the improved methods for eyebrow region extraction and mouth detection.

• 한국정보처리학회논문지
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• 제7권5호
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• pp.1361-1369
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• 2000

For the implementation of 3D Sound Localization system, the binaural filtering by HRTFs is generally employed. But the HRTF filter is of high order and its coefficients for all directions have to be stored, which imposes a rather large memory requirement. To cope with this, research works have centered on obtaining low dimensional HRTF representations without significant loss of information and synthesizing the original HRTF efficiently, by means of feature extraction methods for multivariate dat including PCA. In these researches, conventional linear PCA was applied to the frequency domain HRTF data and using relatively small number of principal components the original HRTFs could be synthesized in approximation. In this paper we applied neural network based nonlinear PCA model (NLPCA) and the nonlinear PLS repression model (NLPLS) for this low dimensional HRTF modeling and analyze the results in comparison with the PCA. The NLPCA that performs projection of data onto the nonlinear surfaces showed the capability of more efficient HRTF feature extraction than linear PCA and the NLPLS regression model that incorporates the direction information in feature extraction yielded more stable results in synthesizing general HRTFs not included in the model training.

• Journal of Information Processing Systems
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• 제14권5호
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• pp.1254-1271
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• 2018

Keyphrase extraction is one of fundamental natural language processing (NLP) tools to improve many text-mining applications such as document summarization and clustering. In this paper, we propose to use two novel techniques on the top of the state-of-the-art keyphrase extraction methods. First is the anti-patterns that aim to recognize non-keyphrase candidates. The state-of-the-art methods often used the rich feature set to identify keyphrases while those rich feature set cover only some of all keyphrases because keyphrases share very few similar patterns and stylistic features while non-keyphrase candidates often share many similar patterns and stylistic features. Second one is to use the dependency graph instead of the word co-occurrence graph that could not connect two words that are syntactically related and placed far from each other in a sentence while the dependency graph can do so. In experiments, we have compared the performances with different settings of the graphs (co-occurrence and dependency), and with the existing method results. Finally, we discovered that the combination method of dependency graph and anti-patterns outperform the state-of-the-art performances.

• 사상체질의학회지
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• 제17권2호
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• pp.46-51
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• 2005

1. Objectives The purpose of this study is to objectify the diagnosis of Sasang Constitution. Using the methods of this study, it will improve to classificate Sasang Constitution. 2. Methods 1) Automatic feature extraction of human frontal faces for Sasang Constitution classification. 2) Color feature extraction of human frontal faces (1)Erosion filtering (skin-white, the other-black) (2) Median median 3. Results and Conclusions Observing a person's shape has been the major method for Sasang Constitution classification, which usually has been dependent upon doctor's intuition as of these days. We are developing an automatic system which provides objective basic data for Sasang Constitution classification. For this, in this paper, firstly, the signal processing techniques are applied to automatic feature extraction of human frontal faces for Sasang Constitution classification. The experiment is conducted to verify the effectiveness of the proposed system.

• 한국정보과학회논문지:데이타베이스
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• 제33권4호
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• pp.384-395
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• 2006

항공 및 위성 사진과 같은 지형 / 지물 이미지는 대부분 비슷한 색상과 질감을 갖는다. 따라서 지형 / 지물 이미지 데이타베이스에서 질의 이미지를 정확하게 검색하기 위해서는 이미지의 형태 특정을 추출하는 것이 매우 중요하다. 본 논문에서는 지형 / 지물 이미지 검색을 위한 형태 특정 추출 방법을 제안한다. 이 방법은 이미지내 홀(hole) 이 있거나 이미지가 연결되지 않은 영역들로 구성되어 있을 경우에도 형태 특징들을 효과적으로 추출할 수 있다. 그리고 세그멘테이션 (segmentation)과 같은 특정 추출의 전처리 과정 (pre-processing) 에서 발생할 수 있는 오류에 강인하다. 본 논문에서 제안하는 방법이 기존의 방법들 보다 우수함을 다양한 이미지 검색 실험을 통해 보인다.

• Journal of Information Science Theory and Practice
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• 제9권4호
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• pp.15-34
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• 2021

Text clustering is one of the most commonly used methods for detecting themes or types of documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to be used for the understanding of Arabic text, especially with respect to terms extraction, unsupervised feature selection, and clustering algorithms. In most cases, terms extraction focuses on nouns. Clustering simplifies the understanding of an Arabic text like the text of the Quran; it is important not only for Muslims but for all people who want to know more about Islam. This paper discusses the complexity and limitations of Arabic text clustering in the Quran based on their themes. Unsupervised feature selection does not consider the relationships between the selected features. One weakness of clustering algorithms is that the selection of the optimal initial centroid still depends on chances and manual settings. Consequently, this paper reviews literature about the three major stages of Arabic clustering: terms extraction, unsupervised feature selection, and clustering. Six experiments were conducted to demonstrate previously un-discussed problems related to the metrics used for feature selection and clustering. Suggestions to improve clustering of the Quran based on themes are presented and discussed.

• Journal of Oral Medicine and Pain
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• 제20권2호
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• pp.497-513
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• 1995

Human genomic Deoxyribonucleic acid(DNA) was extracted from teeth by boiling, salting-out, phenol, boiling-phenol methods. The author compared DNA concentration and its purity, the accuracy of sex determination and the results of the D1S80 locus detection among above 4 methods. The following results were obtained : 1. DNA concentration was the highest in pulp with salting-out method and DNA purity was higher in pulp with salting-out and phenol methods than other 2 methods. 2. Sex determination was possible using of the pulp and the dentin of the teeth with four methods but, it was impossible in the enamel and some pulp with boiling method. 3. Amplification of D1S80 locus occurred from pulp and dentin with salting-out, phenol, and boiling-phenol methods. 4. There are no differences among the amplification of X-Y homologus amelogenin gene by application of 4 methods and salting-out, phenol methods efficiently makes available to amplification of D1S80 locus. From the investigation DNA extraction, sex determination, amplification of D1S80 locus was successfully accomplished with salting-out, phenol, boiling-phenol methods Therefore above 3 methods are available and applicable as forensic odontology for individual identification.

• 한국산업보건학회지
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• 제26권3호
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• pp.307-316
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• 2016

Objectives: In general, NIOSH method 5506 is most widely used for the occupational exposure measurement of PAHs, but 2-4 ring PAHs have poor desorption efficiency, especially for a filter. The purpose of this study was to determine a method to increase the desorption efficiency of 16-PAHs using an ultrasonic extraction procedure. Methods: Test samples prepared spiked XAD-2 tubes and PTFE filters in the range of $0.01-1.0{\mu}g/mL$ for desorption efficiency study. Four different extraction solvents, acetonitrile, acetone, tetrahydrofuran and dichloromethane, were tested in order to select the most suitable solvent for the extraction of the 16 PAHs. The addition of dimethyl sulfoxide and sonication time were considered in order to determine the method with the highest extraction efficiency. All samples were made in three sets and analysis was replicated seven times by HPLC. Results: Acetonitrile and acetone were the optimized as an extraction solvent and desorption efficiency of 2-ring PAHs such as naphthalene, acenaphthylene were increased 3~19% with dimethyl sulfoxide for XAD-2. Acetone was the best extraction solvent for PTFE filter and the desorption efficiency was increased 3~13% for 2- to 4-ring PAHs. The optimum sonication time was 60 minutes and desorption efficiency increased with extraction time. Conclusions: As a result, the best extraction solvent was acetone with dimethyl sulfoxide for ultrasonic extraction procedure and the desorption efficiency of this method was better than NIOSH 5506's. This study could be applied as a method for occupational exposure measurement of PAHs.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제47권3호
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• pp.190-196
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• 2021

Objectives: The risk of bleeding after tooth extraction in thrombocytopenia patients remains unclear. Therefore, the present study aimed to assess the risk of bleeding after tooth extraction in patients with thrombocytopenia. Materials and Methods: The study included 220 patients who had a medical history of thrombocytopenia and underwent tooth extraction (330 teeth). The patients were divided into those who had thrombocytopenia (platelet count <150k) immediately before the tooth extraction, and those who had platelet counts that were between 150k and 250k before the extraction. Bleeding complications were recorded and compared between the patient groups. Results: Of the 220 patients, 130 underwent tooth extractions while having thrombocytopenia (platelet count <150k), and 90 had platelet counts that were between 150k and 250k before tooth extractions. Bleeding complications occurred in 11 patients (5.0%) of the 220 patients. Among those 11 patients with bleeding complications, 10 patients (7.7%) had thrombocytopenia (platelet count <150k) of the 130 patients, and 1 patient (1.1%) had a normal platelet count of the 90 patients. There was a significant difference between the patient groups regarding bleeding after extractions (P<0.001). No significant difference in the incidence of post-extraction bleeding was found between the subgroups by platelet count within the thrombocytopenia group. Conclusion: Thrombocytopenia (platelet count <150k) increases the risk of post-tooth extraction bleeding. Therefore, bleeding control under the proper evaluation of hemostasis and performing delicate tooth extraction procedures using hemostatic plugs is necessary during the tooth extraction of patients with thrombocytopenia.