• 제목/요약/키워드: Random measure.

검색결과 473건 처리시간 0.025초

An information-theoretical analysis of gene nucleotide sequence structuredness for a selection of aging and cancer-related genes

  • Blokh, David;Gitarts, Joseph;Stambler, Ilia
    • Genomics & Informatics
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    • 제18권4호
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    • pp.41.1-41.8
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    • 2020
  • We provide an algorithm for the construction and analysis of autocorrelation (information) functions of gene nucleotide sequences. As a measure of correlation between discrete random variables, we use normalized mutual information. The information functions are indicative of the degree of structuredness of gene sequences. We construct the information functions for selected gene sequences. We find a significant difference between information functions of genes of different types. We hypothesize that the features of information functions of gene nucleotide sequences are related to phenotypes of these genes.

Jitter 합성에 의한 음질변환에 관한 연구 (Voice quality transform using jitter synthesis)

  • 조철우
    • 말소리와 음성과학
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    • 제10권4호
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    • pp.121-125
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    • 2018
  • This paper describes procedures of changing and measuring voice quality in terms of jitter. Jitter synthesis method was applied to the TD-PSOLA analysis system of the Praat software. The jitter component is synthesized based on a Gaussian random noise model. The TD-PSOLA re-synthesize process is used to synthesize the modified voice with artificial jitter. Various vocal jitter parameters are used to measure the change in quality caused by artificial systematic jitter change. Synthetic vowels, natural vowels and short sentences are used to check the change in voice quality through the synthesizer model. The results shows that the suggested method is useful for voice quality control in a limited way and can be used to alter the jitter component of voice.

Association between pesticide and polychlorinated biphenyl exposure during pregnancy and autism spectrum disorder among children: a meta-analysis

  • Mehri, Fereshteh;Bashirian, Saeid;Khazaei, Salman;Jenabi, Ensiyeh
    • Clinical and Experimental Pediatrics
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    • 제64권6호
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    • pp.286-292
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    • 2021
  • Background: The effect of exposure to environmental factors on autism spectrum disorders (ASD), especially during pregnancy, is unclear. Purpose: This meta-analysis investigated the association between exposure to pesticides and polychlorinated biphenyls (PCBs) during pregnancy and ASD risk among children. Methods: We searched Scopus, PubMed, Web of Science, and ProQuest for articles published through September 2019. Random-effects models were used to examine the association among studies using pooled odds ratios (ORs) and their 95% confidence intervals (CI). I2 tests were used to measure interstudy heterogeneity. Results: The pooled OR indicated a significant association between PCB and pesticide exposure during pregnancy and ASD risk among children (OR, 1.80; 95% CI, 1.26-2.34; and OR, 1.20; 95% CI, 1.02-1.39), respectively. Conclusion: Findings of the present study indicate that exposure to pesticides and PCBs during pregnancy may affect the risk of ASD among children.

Practical Experience with Full-scale Performance Verification of Dynamic Vibration Absorbers installed in Tall Buildings

  • Love, J.S.;Morava, B.
    • 국제초고층학회논문집
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    • 제10권2호
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    • pp.85-92
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    • 2021
  • Dynamic vibration absorbers (DVAs) in the form of tuned sloshing dampers (TSDs) and tuned mass dampers (TMDs) are commonly used to reduce the wind-induced motion of high-rise buildings. Full-scale performance of structure-DVA systems must be evaluated during the DVA commissioning process using structural monitoring data. While the random decrement technique (RDT) is sometimes employed to evaluate the DVA performance, it is shown to have no theoretical justification for application to structure-DVA systems, and to produce erroneous results. Subsequently, several practical methods with a sound theoretical basis are presented and illustrated using simulated and real-world data. By monitoring the responses of the structure and DVA simultaneously, it is possible to directly measure the effective damping of the system or perform system identification from which the DVA performance can be evaluated.

Multi-time probability density functions of the dynamic non-Gaussian response of structures

  • Falsone, Giovanni;Laudani, Rossella
    • Structural Engineering and Mechanics
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    • 제76권5호
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    • pp.631-641
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    • 2020
  • In the present work, an approach for the multiple time probabilistic characterization of the response of linear structural systems subjected to random non-Gaussian processes is presented. Its fundamental property is working directly on the multiple time probability density functions of the actions and of the response. This avoids of passing through the evaluation of the response statistical moments at multiple time or correlations, reducing the computational effort in a consistent measure. This approach is the extension to the multiple time case of a previously published dynamic Probability Transformation Method (PTM) working on a single evolution of the response statistics. The application to some simple examples has revealed the efficiency of the method, both in terms of computational effort and in terms of accuracy.

음절 바이그램과 CRFs를 이용한 의학 전문 용어 추출 (Biomedical Terminology Extraction using Syllable Bigram and CRFs)

  • 송수민;신준수;김학수
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2010년도 춘계학술발표대회
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    • pp.505-507
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    • 2010
  • 웹(Web)상에 전문용어를 포함한 문서가 증가함에 따라 전문용어를 자동으로 추출하는 연구가 계속해서 이루어지고 있다. 기존 연구에서는 전문용어를 추출하는 단계에서 대부분 형태소 분석기를 이용한다. 그러나 전문용어의 특성으로 인해 형태소 분석 단계에서 오분석 되는 경우가 발생한다. 이러한 문제를 해결하기 위해서 본 논문에서는 음절 바이그램과 CRFs(Conditional Random Fields)를 이용하여 의학 전문 용어를 추출하는 방법을 제안한다. 네이버 지식인의 의사 답변 문서 2000개로부터 5-fold cross validation을 이용하여 실험하였다. 실험 결과 정확률은 평균 68.91%, 재현율은 평균 71.25%로 나타났으며 F-measure는 70.06%로 나타났다.

Determinants of Economic Growth in ASEAN Countries (2002-2019)

  • Khin Theingi Aung
    • 수완나부미
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    • 제15권2호
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    • pp.215-244
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    • 2023
  • This study analyzes the effect of macroeconomic indicators such as foreign direct investment (FDI), domestic investment, trade, inflation, unemployment, population, and governance indicators on economic growth and points out the GDP growth rate in 2002- 2019 among ASEAN countries. Data were compiled from the Worldwide Governance Indicators (WGI) and the World Bank, and the effect of variables on GDP was predicted using the pooled ordinary least squares (POLS), fixed effects model (FEM), and random effects model (REM) methods. As a measure of growth, the GDP growth rate has been taken; FDI and domestic investment, trade, inflation, and governance indicators are positively connected and have an influence on economic growth in these ASEAN countries; domestic investment, population, and unemployment have a negative relationship to economic growth. The macroeconomic indicators and institutional stability of the nation have an effect on its economic growth. Comprehensive institutional stability and well-laid macroeconomic policies are required for growth to materialize.

Applying Machine Learning approaches to predict High-school Student Assessment scores based on high school transcript records

  • Nguyen Ba Tien;Hoai-Nam Nguyen;Hoang-Ha Le;Tran Thu Trang;Chau Van Dinh;Ha-Nam Nguyen;Gyoo Seok Choi
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권2호
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    • pp.261-267
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    • 2023
  • A common approach to the problem of predicting student test scores is based on the student's previous educational history. In this study, high school transcripts of about two thousand candidates, who took the High-school Student Assessment (HSA) were collected. The data were estimated through building a regression model - Random Forest and optimizing the model's parameters based on Genetic Algorithm (GA) to predict the HSA scores. The RMSE (Root Mean Square Error) measure of the predictive models was used to evaluate the model's performance.

영상에서 Support Vector Machine과 개선된 Adaptive Median 필터를 이용한 임펄스 잡음 제거 (Support Vector Machine and Improved Adaptive Median Filtering for Impulse Noise Removal from Images)

  • 이대근;박민재;김정욱;김도윤;김동욱;임동훈
    • 응용통계연구
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    • 제23권1호
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    • pp.151-165
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    • 2010
  • 영상은 잡음센서이나 채널 전송에러에 의해 생기는 임펄스 잡음에 의해 자주 오염된다. 본 논문은 영상에서 이런 임펄스 잡음을 제거하는 방법에 대해 논의하고자 한다. 제안된 잡음제거는 SVM(Support Vector Machine)과 개선된 Adaptive Median 필터에 의해 이루어진다. SVM에 의해 영상에서 잡음픽셀여부를 검출하고 검출된 잡음픽셀은 개선된 Adaptive Median 필터에 의해 새로운 픽셀값으로 대체한다. 제안된 방법의 성능을 평가하기 위해 영상 실험을 통하여 salt-and-pepper 임펄스 잡음과 random-valued 임펄스 잡음을 고려하여 기존의 잡음제거 방법들과 정성적이고 MAE, PSNR를 통한 정량적인 비교를 하였다. 실험결과 제안된 방법은 잡음 제거와 미세한 부분에 대한 보존력이 뛰어나고 특히, 많이 오염된 영상에 대해서도 상당한 잡음제거 성능을 보였다.

고속 디지털 카메라를 이용한 알루미늄 하니콤 샌드위치 보의 고유 진동수 계측 (Measurement of natural frequency of aluminum honeycomb sandwich beams using high speed digital cameras)

  • 구남서;방호앙미;레빈퉁;김태렬
    • 한국항공우주학회지
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    • 제45권1호
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    • pp.30-35
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    • 2017
  • 본 연구에서는 디지털 영상 상관 기법을 이용하여 알루미늄 하니콤 샌드위치 보의 고유 진동수를 계측하였다. 고속 디지털 카메라를 이용하여 보의 진동 영상을 획득하고 디지털영상 상관 기법을 이용하여 변위를 계산하였다. 시간 영역에서의 변위 데이터를 고속 퓨리에 변환하여 주파수 영역의 응답으로 변환하였다. 랜덤 가진에 따른 주파수 영역에서의 잡음을 줄이기 위하여 스펙트럼 평균화 기법과 Savitsky-Golay 디지털 필터를 사용하였다. 가속도계를 이용한 기존의 방법 및 유한요소 해석 결과와의 비교를 통하여 방법의 정확성을 확인하였다. 결론적으로 고속 디지털 카메라와 디지털 영상 상관 기법을 이용하는 새로운 방법은 구조물의 진동을 잘 측정할 수 있음을 보였고, 센서를 부착하기 어려운 바이오 구조 등의 진동 계측에 적용할 수 있을 것이다.