• 대한산업공학회지
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• 제28권4호
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• pp.435-442
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• 2002

It is difficult to access and share design data among heterogeneous CAD systems. Usually, different CAD systems exchange the design data using a neutral format such as IGES or STEP. A prototype CAD system which uses a geometric kernel and a commercial database management system has been implemented. The prototype system used the Open Cascade geometric kernel and the commercial object-oriented database ObjectStore. STEP provides the database schema. The database can be accessed from commercial CAD systems such as SolidWorks or Unigraphics. The data access module from a commercial CAD system is developed with the CAD system's native API, ObjectStore API functions, and ActiveX.

• 한국멀티미디어학회논문지
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• 제6권1호
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• pp.1-14
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• 2003

전자상거래는 여러 가지 종류의 교류와 예측하기 힘든 양의 데이터 변화를 필요로 한다. 따라서 많은 플랫폼과 시스템은 서로 중립적인 데이터 교류에 필요한 표준을 필요로 하는데, 이 요구를 만족시켜 줄 수 있는 기술 중 하나가 바로 XML이며, 이는 W3C에 의해 표준으로 자리잡았다. 또한 XML은 표준화와 운영체제 중립적이라는 특성 때문에 전자상거래에서 중요한 위치를 차지하며, 이미 많은 전자상거래 시스템에서 이용하고 있다. 본 논문에서는, 기업 간 거래에서 사용될 XML 문서를 설계하였고, 이 문서를 주고받아 거래를 완료하는 B2B 통합 시스템을 XML 저장시스템을 기반으로 구현하였다 또한 기업간의 이질적인 XML 문서의 교환을 위하여 XML문서의 형식을 변환 시켜 줄 수 있는 XSLT을 사용하였다. 이로써 본 논문에서 구축한 시스템을 이용하여 기업간의 XML 문서 교환을 형식에 제한을 받지 않고 원활하게 할 수 있을 것이다.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2007년도 정기총회 및 학술발표대회
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• pp.414-417
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• 2007

A methodology for XML documentation of the structural calculation document is presented to support manipulation of the design information on the internet. The text file format is chosen as a neutral format because it can be easily translated from office documents generated from engineering practice. The first word of each line is compared with the reserved numbering groups, and relative levels among the lines are defined to generate the hierarchically structured XML document of the text file. The demonstration subjected to sample general documents and structural calculation documents shows that the prototype application module based on the developed methodology can be adopted to build the database of design information which supports the safety management of infrastructures.

• 말소리와 음성과학
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• 제14권3호
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• pp.77-86
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• 2022

본 연구는 운율을 기반으로 감정을 인식하는 능력을 측정할 때 이용할 수 있는 한국형 감정 음성 데이터베이스(Korean Affective Voice Database, 이하 KAV DB)를 개발하고, 해당 DB가 의사소통장애 관련 임상과 연구에서 활용될 수 있는지를 점검하기 위하여 신뢰도, 민감도, 특이도를 산출하여 그 타당성을 살펴보았다. 본 연구에서는 배우 2명(남 1명, 여 1명)이 의미적으로 중립적인 문장 10개를 행복, 분노, 공포, 슬픔, 놀람, 중립의 6개 정서로 표현하도록 하여 음성을 녹음하였다. 녹음된 음성 중에서 목표 정서가 잘 표현된 문장을 선별하여 타당도 점검을 위한 음성파일 세트를 구성하였으며, 청자 31명(남 14명, 여 17명)이 시각적 아날로그 평정법을 이용하여 각 음성에서 6개의 정서가 얼마나 반영되었는지 평정하도록 하였다. 그 결과, KAV DB에 대한 청자의 내적 일관성 신뢰도는 .872, 전체 민감도 82.8%, 전체 특이도 83.8%였다. 이를 통하여, 타당도가 확보된 KAV DB는 감정 음성 인식 및 산출과 관련된 연구와 임상 콘텐츠 제작 등에 활용될 수 있을 것으로 기대된다.

• 인터넷정보학회논문지
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• 제20권5호
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• pp.27-36
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• 2019

본 연구에서는 공개된 뇌파 데이터인 DEAP(A Database for Emotion Analysis using Physiological Signals) 데이터 세트를 활용한 감정분류 분석 및 정확도 향상에 대한 실험을 진행하였다. 실험에는 32명에 대한 32개의 뇌파측정 채널 데이터가 모두 사용되었다. 전처리과정에서는 뇌파 데이터에 대한 256Hz 샘플링작업을 진행하였고, 유한 임펄스 응답 필터를 사용하여 주파수 대역별로 쎄타(4-8Hz), 슬로 알파(8-10Hz), 알파(8-12Hz), 베타(12-30Hz), 감마(31-45Hz) 파형에 대한 데이터를 추출하였다. 추출한 데이터는 시간-주파수 변형을 통하여 데이터의 상태를 구분한 후에, 독립성분분석방법을 통해 잡음(Artifact)을 제거하여 데이터를 정제했다. 도출된 데이터는 분류기 기계학습 알고리즘 실험을 시행할 수 있도록 CSV 파일로 변형 하였으며, 감정분류에는 Arousal-Valence 평면을 사용하였다. 감정은 "긍정적(Positive)", "부정적(Negative)" 이외에 평온한 상태로 존재하는 "중립적(Neutral)"의 3가지 상태로 분류하였다. 정확도를 개선하기 위해서 랜덤 포레스트(Random Forest) 알고리즘에 속성 선택적 분류기(Attribute Selected Classifier: ASC) 방식에 의해 선택된 속성을 적용하여 실험하였다. 정확도는 "각성(Arousal)" 부분에서 Koelstra의 결과보다 "32.48%" 높은 결과가 도출되었고, Liu의 실험의 "정서가(Valence)"와 비교해보면 ASC(Random Forest) 결과가 "8.13%" 더 높은 결과를 도출하였다. 정확도를 개선하기 위해 ASC 방식을 적용한 랜덤 포레스트 분류기 실험결과에서는 전체평균을 기준으로 기존 연구 결과와 대비하여 "2.68%" 높은 정확도가 도출되었다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.163-177
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• 2024

The fingerprint image quality relies on the clearness of separated ridges by valleys and the uniformity of the separation. The condition of skin still dominate the overall quality of the fingerprint. However, the identification performance of such system is very sensitive to the quality of the captured fingerprint image. Fingerprint image quality analysis and enhancement are useful in improving the performance of fingerprint identification systems. A fuzzy technique is introduced in this paper for both fingerprint image quality analysis and enhancement. First, the quality analysis is performed by extracting four features from a fingerprint image which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the Global Contrast Factor (GCF). A fuzzy logic technique that uses Mamdani fuzzy rule model is designed. The fuzzy inference system is able to analyse and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and the fuzzy inference rules. The percentages of the test fuzzy inference system for each type is as follow: For dry fingerprint the percentage is 81.33, for oily the percentage is 54.75, and for neutral the percentage is 68.48. Secondly, a fuzzy morphology is applied to enhance the dry and oily fingerprint images. The fuzzy morphology method improves the quality of a fingerprint image, thus improving the performance of the fingerprint identification system significantly. All experimental work which was done for both quality analysis and image enhancement was done using the DB_ITS_2009 database which is a private database collected by the department of electrical engineering, institute of technology Sepuluh Nopember Surabaya, Indonesia. The performance evaluation was done using the Feature Similarity index (FSIM). Where the FSIM is an image quality assessment (IQA) metric, which uses computational models to measure the image quality consistently with subjective evaluations. The new proposed system outperformed the classical system by 900% for the dry fingerprint images and 14% for the oily fingerprint images.

• 한국CDE학회논문집
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• 제18권3호
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• pp.234-242
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• 2013

Different CAD systems are used in ship outfitting design on different usage and purpose. Therefore, data exchanges between CAD systems are required from different formats. For data exchange, boundary representation standard formats such as IGES and ISO 10303 (STEP) are widely used. However, they present only B-rep representation. Because of different CAD systems have their own geometry format, data exchanges with design intend are difficult. Especially, Tribon and PDMS use primitives for express their geometry in ship outfitting design. However, Tribon primitives are represented their parameter by values that are non-parametric. Therefore, data size of catalogue library is bigger than different CAD system using parametric primitive representation. And that system has difficulty on data reprocessing. To solve that problem, we discuss about shape DB which contains design parameters of primitive for exchange Tribon primitives. And geometry data exchange between Tribon and Shape Database that defines based on PDMS scheme are specified using primitive mapping that can represent design intend.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.9-16
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• 2023

Speech can actively elicit feelings and attitudes by using words. It is important for researchers to identify the emotional content contained in speech signals as well as the sort of emotion that resulted from the speech that was made. In this study, we studied the emotion recognition system using a database in Arabic, especially in the Saudi dialect, the database is from a YouTube channel called Telfaz11, The four emotions that were examined were anger, happiness, sadness, and neutral. In our experiments, we extracted features from audio signals, such as Mel Frequency Cepstral Coefficient (MFCC) and Zero-Crossing Rate (ZCR), then we classified emotions using many classification algorithms such as machine learning algorithms (Support Vector Machine (SVM) and K-Nearest Neighbor (KNN)) and deep learning algorithms such as (Convolution Neural Network (CNN) and Long Short-Term Memory (LSTM)). Our Experiments showed that the MFCC feature extraction method and CNN model obtained the best accuracy result with 95%, proving the effectiveness of this classification system in recognizing Arabic spoken emotions.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1141-1141
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• 2001

The aim of the study was to evaluate the performance of 3 calibration methods, modified partial least squares (MPLS), local PLS (LOCAL) and artificial neural network (ANN) on the prediction of chemical composition of forages, using a large NIR database. The study used forage samples (n=25,977) from Australia, Europe (Belgium, Germany, Italy and Sweden) and North America (Canada and U.S.A) with information relative to moisture, crude protein and neutral detergent fibre content. The spectra of the samples were collected with 10 different Foss NIR Systems instruments, which were either standardized or not standardized to one master instrument. The spectra were trimmed to a wavelength range between 1100 and 2498 nm. Two data sets, one standardized (IVAL) and the other not standardized (SVAL) were used as independent validation sets, but 10% of both sets were omitted and kept for later expansion of the calibration database. The remaining samples were combined into one database (n=21,696), which was split into 75% calibration (CALBASE) and 25% validation (VALBASE). The chemical components in the 3 validation data sets were predicted with each model derived from CALBASE using the calibration database before and after it was expanded with 10% of the samples from IVAL and SVAL data sets. Calibration performance was evaluated using standard error of prediction corrected for bias (SEP(C)), bias, slope and R2. None of the models appeared to be consistently better across all validation sets. VALBASE was predicted well by all models, with smaller SEP(C) and bias values than for IVAL and SVAL. This was not surprising as VALBASE was selected from the calibration database and it had a sample population similar to CALBASE, whereas IVAL and SVAL were completely independent validation sets. In most cases, Local and ANN models, but not modified PLS, showed considerable improvement in the prediction of IVAL and SVAL after the calibration database had been expanded with the 10% samples of IVAL and SVAL reserved for calibration expansion. The effects of sample processing, instrument standardization and differences in reference procedure were partially confounded in the validation sets, so it was not possible to determine which factors were most important. Further work on the development of large databases must address the problems of standardization of instruments, harmonization and standardization of laboratory procedures and even more importantly, the definition of the database population.

• 한국시뮬레이션학회논문지
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• 제19권4호
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• pp.249-259
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• 2010

국방 모델링 및 시뮬레이션 분야에서 사용되는 다양한 기관, 다양한 출처의 합성환경 자료들은 현재 분산된 환경에서 각각의 원시 데이터베이스를 활용하여 운용, 관리되고 있다. 그러나 HLA/RTI 기술을 통한 모의 체계간의 연동에서 이러한 다양한 합성환경 데이터를 효율적으로 관리하고 교환하기 위해서는 원시 데이터베이스간의 데이터 교환 역할을 수행할 수 있는 중립 합성환경 모델이 필요하다. 이러한 목적으로 DMSO의 지원을 통해 개발된 SEDRIS(Synthetic Environment Data Representation and Interchange Specification)는 손실 없는 데이터의 표현, 교환과 상호운용성을 보장한다. 본 논문에서는 SEDRIS를 국내 차세대 국방 모델링 및 시뮬레이션 환경에서 활용하기 위하여 수행된 기초 연구와 검증을 위한 가시화, 테스트베드를 통한 데이터 교환 실험에 대한 수행 사례와 그 결과를 소개하고, 표준화된 SEDRIS 사용 방안을 제안하고자 한다.