• 제목/요약/키워드: selection intensity

검색결과 248건 처리시간 0.027초

The Game Selection Model for the Payoff Strategy Optimization of Mobile CrowdSensing Task

  • Zhao, Guosheng;Liu, Dongmei;Wang, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권4호
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    • pp.1426-1447
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    • 2021
  • The payoff game between task publishers and users in the mobile crowdsensing environment is a hot topic of research. A optimal payoff selection model based on stochastic evolutionary game is proposed. Firstly, the process of payoff optimization selection is modeled as a task publisher-user stochastic evolutionary game model. Secondly, the low-quality data is identified by the data quality evaluation algorithm, which improves the fitness of perceptual task matching target users, so that task publishers and users can obtain the optimal payoff at the current moment. Finally, by solving the stability strategy and analyzing the stability of the model, the optimal payoff strategy is obtained under different intensity of random interference and different initial state. The simulation results show that, in the aspect of data quality evaluation, compared with BP detection method and SVM detection method, the accuracy of anomaly data detection of the proposed model is improved by 8.1% and 0.5% respectively, and the accuracy of data classification is improved by 59.2% and 32.2% respectively. In the aspect of the optimal payoff strategy selection, it is verified that the proposed model can reasonably select the payoff strategy.

Heritability and Genetic Gains for Height Growth in 20-year-Old Korean White Pine in Korea

  • Shin, Man-Yong;Park, Hyung-Soon;Cho, Yoon-Jin;Chung, Dong-Jun
    • 한국자원식물학회지
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    • 제19권6호
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    • pp.677-679
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    • 2006
  • The objectives of this study were to examine the genetic variation of 20-year-old tree height and to estimate heritabilities and genetic gains of Korean white pine. Analysis of variance showed that families and family x block interaction had the significant (p=0.01) effects on tree height. However, family variation appears to be much greater than the variation due to family x block interaction. Individual tree heritability was higher ($h_I^2=0.73$) than family heritability, ($h_F^2=0.83$) therefore, combined selection showed the largest genetic gain (17.76%) in a given equal intensity of selection.

Vibronically Induced Two-Photon Transitions in Benzene

  • Chung, Gyu-Sung;Lee, Duck-Kwan
    • Bulletin of the Korean Chemical Society
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    • 제10권3호
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    • pp.298-302
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    • 1989
  • The strengths of two-photon transitions from the ground state to excited vibronic states in benzene are calculated by using the CNDO/2-U wave functions. The role of vibronic coupling in two-photon absorption process is discussed. The $A_{1{\bar{g}}}-A_{2g}^+$ two-photon transitions, which are forbidden by the identity-forbidden selection rule in single frequency two-photon absorption, are too weak to be experimentally observed even when two photons of different energies are used. It is because the transitions are forbidden also by the pseudo-parity selection rule which are applicable for alternant hydrocarbons such as benzene. It is also shown that the vibronic coupling is not very effective in altering the pseudo-parity property of the electronic state. The strength of the vibronically induced two-photon absorption is strongly affected by the presence of an electronic state from which two-photon absorption can borrow the intensity. It is pointed out that the pseudo-parity selection rule may be violated in such cases.

밝기 정보를 이용한 영상 이진화에 관한 연구 (A Study on Image Binarization using Intensity Information)

  • 김광백
    • 한국정보통신학회논문지
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    • 제8권3호
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    • pp.721-726
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    • 2004
  • 영상의 이진화는 문자 인식, 영상 분석 등 다양한 영상 처리 분야의 전처리 과정으로 자주 적용되고 있다. 영상 이진화는 임계치의 설정에 따라 처리 성능이 좌우되며, 대부분의 기존 이진화 방법은 밝기 값의 히스토그램을 사용하여 평균 밝기 값이나 히스토그램의 골짜기를 임계치로 설정한다. 이와 같은 방법은 양봉의 특징을 보이지 않거나 특정 영상을 추출하려는 경우에는 적절한 임계치를 얻기 어렵다. 따라서 본 논문에서는 그레이 스케일 영상에서 밝기 값을 여러 구간으로 분할하여 각 구간의 밝기 평균값을 구하고, 두 개의 구간에 대해 평균값 사이의 거리를 각 구간에서 평균값과 양극과의 거리 비율로 나누어서 계산된 값을 두 개의 구간을 합친 새로운 구간의 임계치로 설정한다. 최종적으로 하나의 구간이 생성될 때까지 구간 통합과 임계값 계산을 반복함으로써 이진화 임계값을 산출한다. 제안된 이진화 방법의 성능을 평가하기 위하여 다양한 종류의 영상에 적용한 결과, 기존의 이진화 방법들보다 효율적인 것을 확인하였다.

A MA-plot-based Feature Selection by MRMR in SVM-RFE in RNA-Sequencing Data

  • Kim, Chayoung
    • 한국정보기술학회논문지
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    • 제16권12호
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    • pp.25-30
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    • 2018
  • 유전자 규정 네트워크 (GRN)에 RNA-시퀀싱 데이터를 활용할 때, 해당 유전자와 환경과의 상호 작용에 의해서 생기는 형질들 중에서 연관성이 높은 유전자로 GRN을 구성하는 것은 상당히 어려운 일이다. 본 연구에서는 Big-Data의 RNA-시퀀싱 자료들로, 지지 벡터 머신 회귀 특징 추출(SVM-RFE) 에 근거하여, 연관성이 높은 유전자(maximum-relevancy)는 추출하고, 연관성이 낮은 유전자(minimum-redundancy)는 제거하는 MRMR 필터 방법을 집중도 의존 정규화(intensity-dependent normalization, DEGSEQ)에 기반 하여 데이터의 정밀성을 높여, 소수 연관성 높은 유전자만 판별해 내는 방법을 사용한다. 제안한 방법은 R 언어 패키지를 사용하여 편리함과 동시에, 다른 기존의 방법을 비교하였을 때, Big-Data의 시간 활용도를 높이면서, 동시에 높은 연관성 있는 유전자만을 잘 추출해 냄을 확인하였다.

Closely Spaced Target Detection using Intensity Sorting-based Context Awareness

  • Kim, Sungho;Won, Jin-Ju
    • Journal of Electrical Engineering and Technology
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    • 제11권6호
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    • pp.1839-1845
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    • 2016
  • Detecting remote targets is important to active protection system (APS) or infrared search and track (IRST) applications. In normal situation, the well-known constant false alarm rate (CFAR) detector works properly. However, decoys in APS or closely spaced targets in IRST degrade the detection capability by increasing background noise level in the CFAR detector. This paper presents a context aware CFAR detector by the intensity sorting and selection of background region to reduce the effect of neighboring targets that lead to incorrect estimation of background statistics. The existence of neighboring targets can be recognized by intensity sorting where neighboring targets usually show highest ranks. The proposed background statistics (mean, standard deviation) estimation method from median local pixels can be aware of the background context and reduce the effects of the neighboring targets, which increase the signal-to-clutter ratio. The experimental results on the synthetic APS sequence, real adjacent target sequence, and remote pedestrian sequence validated that the proposed method produced an enhanced detection rate with the same false alarm rate compared with the hysteresis-CFAR (H-CFAR) detection.

자동기상관측소의 국지기후대에 근거한 서울 도시 열섬의 공간 분포 (Spatial Distribution of Urban Heat Island based on Local Climate Zone of Automatic Weather Station in Seoul Metropolitan Area)

  • 홍제우;홍진규;이성은;이재원
    • 대기
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    • 제23권4호
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    • pp.413-424
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    • 2013
  • Urban Heat Island (UHI) intensity is one of vital parameters in studying urban boundary layer meteorology as well as urban planning. Because the UHI intensity is defined as air temperature difference between urban and rural sites, an objective sites selection criterion is necessary for proper quantification of the spatial variations of the UHI intensity. This study quantified the UHI intensity and its spatial pattern, and then analyzed their connections with urban structure and metabolism in Seoul metropolitan area where many kinds of land use and land cover types coexist. In this study, screen-level temperature data in non-precipitation day conditions observed from 29 automatic weather stations (AWS) in Seoul were analyzed to delineate the characteristics of UHI. For quality control of the data, gap test, limit test, and step test based on guideline of World Meteorological Organization were conducted. After classifying all stations by their own local climatological properties, UHI intensity and diurnal temperature range (DTR) are calculated, and then their seasonal patterns are discussed. Maximum UHI intensity was $4.3^{\circ}C$ in autumn and minimum was $3.6^{\circ}C$ in spring. Maximum DTR appeared in autumn as $3.8^{\circ}C$, but minimum was $2.3^{\circ}C$ in summer. UHI intensity and DTR showed large variations with different local climate zones. Despite limited information on accuracy and exposure errors of the automatic weather stations, the observed data from AWS network represented theoretical UHI intensities with difference local climate zone in Seoul.

색채동통척도의 신뢰도 연구 (Testing the Reliability of the Pain Color Circle Measurement Tool)

  • 김주희
    • 대한간호학회지
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    • 제21권3호
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    • pp.339-348
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    • 1991
  • The study problem was to determine the reliability of the Stewart pain circle measurement tool with Korean subjects. The purpose was to assess the tool for potential use in research in Korea. The subjects were 95 primary school students and 103 university students in Seoul. The study was conducted from May to June 1990, using Stewart's pain color circle tool. To determine the difference in the rated intensity of the order of the pain color circles, statistical mean and standard deviation were employed. Item reliability and test - retest reliability were used to test for reliability. ANOVA and t-test were used to explore for differences in the rated intensity of the order of the pain color circles according to the subjects' general characteristics. The findings were as follows ; 1. Higher level pain intensity was assigned to color circle numbers 2, 4, and 6 (These contain large amounts of color). Lower level pain intensity was assigned to numbers 1, 3, and 5(These contain small amounts of color). Higher and lower levels of pain intensity selection patterns were the same as Stewart's but the highest rating of pain was different. The highest pain intensity rating was given to the color red in this study instead of black as in Stewart's test. 2. University students and primary school students' ratings were not very difteferent. 3. Pain color circle reliability was $\alpha$=0.3468, Test - retest reliability was supported (t=0.02~0.97, p=0.337~0.988) 4. Differences in the rating of the pain intensity order were related to the subjects' age and sex, but not to religion. It was concluded that the pain color circle measurement tool is worth for further study as a research instrument with both Korean adult and child clients for validity and reliability.

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RNAseq 빅데이터에서 유전자 선택을 위한 밀집도-의존 정규화 기반의 서포트-벡터 머신 병합법 (Combining Support Vector Machine Recursive Feature Elimination and Intensity-dependent Normalization for Gene Selection in RNAseq)

  • 김차영
    • 인터넷정보학회논문지
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    • 제18권5호
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    • pp.47-53
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    • 2017
  • 고처리 시퀀싱과 빅데이터 및 크라우드 컴퓨팅에 혁신이 일어나면서, RNA 시퀀싱도 획기적인 변화가 일어, RNAseq가 기존의 DNA 마이크로어레이를 대체하여, 빅-데이터를 형성하고 있다. 현재, RANseq 이용한 유전자 조절망(GRN) 까지 연구가 활성화 되고 있는데, 그 중 한 분야가 GRN의 기본 요소인 특징 유전자를 빅-데이터에서도 구별하고 기존에 알려진 것 외에 새로운 역할을 찾는 것이다. 그러나, 이러한 연구 방향에 부합하는 빅-데이터를 처리할 수 있는 컴퓨테이션 방법이 아직까지 매우 부족하다. 따라서 본 논문에서는 RNAseq 빅-데이터를 처리할 수 있도록 기존의 SVM-RFE알고리즘을 밀집도-의존 정규화에 병합하여, NCBI-GEO와 같은 빅-데이터에서 공개된 일부의 데이터에 개선된 알고리즘을 적용하고 해당 알고리즘에 의해 나온 결과의 성능을 평가한다.

퍼지 소속 함수를 애용한 개선된 이진화 방법 (Enhanced Binarization Method using Fuzzy Membership Function)

  • 김광백;김영주
    • 한국컴퓨터정보학회논문지
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    • 제10권1호
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    • pp.67-72
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    • 2005
  • 대부분의 이진화 알고리즘은 임계치를 결정하기 위하여 히스토그램을 사용하여 밝기 분포를 분석한다. 배경과 물체의 명도차이가 큰 경우에는 양봉 형태의 히스토그램이 나타나며 최적의 임계치를 찾기 위해 히스토그램 골짜기를 선택하는 것만으로도 양호한 임계치 결과를 얻을 수 있다. 반면에 배경과 물체의 밝기 차이가 크지 않거나 밝기 분포가 양봉 특성을 보이지 않을 때는 히스토그램 분석만으로 적절한 임계치를 얻기 어렵다 본 논문에서는 RGB 컬러 모형의 각 색상에 대하여 퍼지 소속 함수를 적용하고, 그 결과를 이용해 배경에 비해 가독성이 높은 특징들을 배경과 분리하는 방법을 제안한다. 제안된 이진화 방법은 RGB의 각 색상에 퍼지 소속 함수를 적용하여 얻은 값들을 이용해 이진화한다. 기존의 임계치를 이용한 이진화 방법에 비해 잡음 영역을 상당히 제거 할 수 있으며, 운송 컨테이너 영상에 적용한 결과, 기존의 방법에 비해 효율적인 것을 확인하였다.

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