• 제목/요약/키워드: Region classification

검색결과 1,015건 처리시간 0.032초

Dynamic User Association based on Fractional Frequency Reuse

  • Ban, Ilhak;Kim, Se-Jin
    • 통합자연과학논문집
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    • 제13권1호
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    • pp.1-7
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    • 2020
  • This paper proposes a novel fractional frequency reuse(FFR) based on dynamic user distribution. In the FFR, a macro cell is divided into two regions, i.e., the inner region(IR) and outer region(OR). The criterion for dividing the IR and OR is the distance ratio of the radius. However, these distance-based criteria are uncertain in measuring user performance. This is because there are various attenuation phenomena such as shadowing and wall penetration as well as path loss. Therefore, we propose a novel FFR based on dynamic user classification with signal to interference plus noise ratio(SINR) of macro users and classify the FFR into two regions newly. Simulation results show that the proposed scheme has better performance than the conventional FFR in terms of SINR and throughput of macro cell users.

ON COLLEGE MATHEMATICS EDUCATION BY COMPARATIVE ANALYSIS OF COLLEGE ACHIEVEMENTS AND SCORES OF COLLEGE ENTRANCE EXAMINATION

  • Piao, Guang-Ri;Cui, Mei-Hong
    • East Asian mathematical journal
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    • 제33권4호
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    • pp.467-482
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    • 2017
  • This paper studies the relationship between the college entrance examination scores and college mathematics achievements of the freshman, who are the students of college of technology and management in Yanbian University, by employing statistical analysis. First of all, we start from the correlation analysis of the majors and regions of students. Secondly, with gender and region as the classification, we divide the sample into two parts and test the mean significance, and we find that not only different gender but also different region have significant differences to college mathematics achievements. Thirdly, we use the college entrance examination scores as independent variable, and college mathematics achievement as the dependent variable to establish regression model. The model provides a realistic basis for the education department of our school, and provides reference value for the other major research.

Subclass 개념을 이용한 넓은 관측각에서의 레이더 표적인식 성능향상에 관한 연구 (Wide-Angle Radar Target Classification with Subclass Concept)

  • 서동규;김경태;김효태
    • 한국전자파학회논문지
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    • 제13권8호
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    • pp.777-782
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    • 2002
  • 일반적인 시간 영역에서의 레이더 신호들은 표적의 관측각에 민감하게 변화한다. 따라서 대표적인 시간영역 레이더 신호인 1차원 range profile을 이용하여 구분실험을 하는 경우에 있어서 central moments와 PCA를 결합하여 먼저 특성벡터를 추출한 후 clustering 기법에 기반한 subclass concept을 사용하는 구분기를 사용하여 넓은 관측각에서의 표적인식 성능을 향상시킨 결과들을 보여준다.

농촌정주생활권내의 마을 비보숲의 실태에 관한 연구 - 전북 진안군 지역을 중심으로 - (A Study on the Groves for making enclosed Village in Rural Human Settlement Circle)

  • 박재철
    • 한국조경학회지
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    • 제26권3호
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    • pp.152-161
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    • 1998
  • The purpose of this study was to identify remained real state of groves of enclosed village in human settlement circle. That was practiced in case of Chinan-Gun region which traditional elements had well been conservated. 48 village groves were found by site survey, reference and interview in Chinan-Gun region. 27 groves of 48 village groves were clarified as complementing village grove by classification of grove character. It was identified through survey that many were partially destructed by development and human use. The results of this study showed general, socio-behavioral characteristics, characteristics of forest state and vegetation structure of complementing village groves. Length, area, form, type, motive, location, relationship of those were analyzed to identify general characteristics. Facilities, human behavior and ownership of those were analyzed to identify socio-behavoral characteristics. Dominent species, appearing rate, height, width, density and biodiversity of upper trees were analyzed to identify forest state and vegetation structure. Interrelation of each factor were analiged and comparative review with previous studies was achieved.

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우리나라의 최저기온 분석특성에 관한 연구 (A Study on the Distribution Characteristics of Minimum Temperatures in Korea)

  • 설동일;민병언
    • 한국항해학회지
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    • 제18권4호
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    • pp.155-169
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    • 1994
  • The minimum temperatures are important element in the daily human life, the climatic classification, and so on. In this study, the authors aim to make an analysis the distribution characteristics of minimum temperatures of 95 weather stations in Korea by using the Climatological Standard Normals of Korea VolumeI, VolumeII, and the Climatological Standard Normals of North Korea. The important results are as follows 1) The daily, fifthly, and tenthly minimum temperatures show the highest rate of occurrance on 14th of January( Occurrance rate : 56.6% ), 16~20th of January( 37.6% ), and the middle ten days of January( 82.1% ) respectively. 2) In the regional distribution of minimum temperatures in winter, the values of northern part, inland area, and west coastal region are lower than those of southern, coastal, and east coastal regions respectively. And, bigger cities and industrial area( Seoul, Incheon, Daejeon, Daegu, etc. ) have larger values than the its vicinities. 3) When the daily minimum temperature is $0^{\circ}C$ and less, the days of northern part, inland area, and wests coastal region are higher than those of southern, coastal, and east coastal regions respectively.

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Intra-Class Random Erasing (ICRE) augmentation for audio classification

  • Kumar, Teerath;Park, Jinbae;Bae, Sung-Ho
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2020년도 추계학술대회
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    • pp.244-247
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    • 2020
  • Data augmentation has been helpful in improving the performance in deep learning, when we have a limited data and random erasing is one of the augmentations that have shown impressive performance in deep learning in multiple domains. But the main issue is that sometime it loses good features when randomly selected region is erased by some random values, that does not improve performance as it should. We target that problem in way that good features should not be lost and also want random erasing at the same time. For that purpose, we introduce new augmentation technique named Intra-Class Random Erasing (ICRE) that focuses on data to learn robust features of the same class samples by randomly exchanging randomly selected region. We perform multiple experiments by using different models including resnet18, VGG16 over variety of the datasets including ESC10, UrbanSound8K. Our approach has shown effectiveness over others methods including random erasing.

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서울시 중랑천 북부구간 하천변 식생과 식물상 분석 - 월계1교에서 상도교 구간을 대상으로 - (The vegetation analysis of Northern region at Jungnang riverside - Between two bridges of Wallgae 1 and Sangdo -)

  • 이상화;이경희;정종철
    • 환경영향평가
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    • 제23권4호
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    • pp.315-322
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    • 2014
  • 근대 산업혁명 이후 도시 내 하천은 개발의 압력에 의해 점차 복개되고 사라져 도시 자연생태계의 기반이 되는 기능이 훼손되기 시작하였다. 중랑천 현지조사에서 조사지역내에 3회에 걸쳐 조사한 식물목록은 총 64과 179속 230종 36변종 1품종 1아종 등으로 총 268분류군으로 조사되었다. 연구대상지 출현식물의 상대 우점도를 분석한 결과 2차 조사에서는 참새귀리 22.97, 쑥 16.76, 개망초 15.89 등으로 나타났으며, 3차 조사에는 바랭이 26.78, 단풍잎돼지풀 16.29, 미국쑥부쟁이 14.31 등으로 조사되었다. 현지조사를 통해 연구대상지에 출현한 귀화식물은 총 54종이었다. 분석 결과 1년생 23분류군(43%), 2년생 11분류군(20%), 다년생 17분류군(31%), 목본 3분류군(6%) 등으로 나타나 우리나라 귀화식물 생활형과 유사한 값을 보였다. 귀화식물을 원산지별로 분석한 결과 북미와 유럽의 귀화종 비율이 76%이상이었다. 귀화도 5가 22분류군(41%)로 가장 높게 나타났고, 귀화도 3이 19분류군(35%), 귀화도 2가 8분류군(15%), 귀화도 4가 5분류군(9%) 순으로 조사되었다. 중랑천의 식물상은 아직도 10여년 전의 모습과 변화가 없다. 중랑천은 시민들을 위한 편의시설 확충과 수질개선은 이루어졌으나, 중랑천의 자연환경과 친수경관적 측면에서는 시급히 생물 다양성을 높이기 위한 노력이 필요하다고 판단된다.

Contour Tree를 이용한 LiDAR Point 데이터의 분할 (Segmentation of LiDAR Point Data Using Contour Tree)

  • 한동엽;김용일
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2006년도 춘계학술발표회 논문집
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    • pp.463-467
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    • 2006
  • Several segmentation algorithms have been proposed for DTM generation or building modeling from airborne LiDAR data. Three components are important for accurate segmentation: (i) the adjacent relationship of n-nearest points or mesh, etc. (ii) the effective decision parameters of height, slope, curvature, and plane condition, (iii) grouping methods. In this paper, we created the topology of point cloud data using the contour tree and implemented the region-growing Terrain and non-terrain points were classified correctly in the segmented data, which can be used also for feature classification.

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칼라이미지의 영역분할을 위한 두 알고리즘의 비교분석 (Comparative Analyses of Two Algorithms for Region Segmentation of Color Image)

  • 허민권;성병우;최흥국;김상균;서정욱
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 1998년도 춘계학술발표논문집
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    • pp.83-88
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    • 1998
  • 칼라이미지를 인식 및 분석을 하기 위해서는 이미지에 대한 영역분할이 우선적으로 먼저 이루어져야 되므로, 본 연구에서는 영역분할에 대한 두 개의 알고리즘을 구현하여 비교 분석하였다. 여러 가지 영역분할 방법 중에서 가장 쉽게 적용할 수 있고 또 가장 빠르게 영역을 분할 할 수 있는 Box classification 알고리즘을 이용하여 심근조직 표본의 현미경 영상이미지에 대해서 육안으로 선택한 영역과 histogram을 미분하여 최저 값에 문턱치를 정하여 줌으로써 선택한 영역에 대해 추출하고 이들 각각을 HLS 칼라모델에서 비교 분석하였다.

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웨이브렛 변환과 영역 분류를 이용한 영상 검색 (Image Retrieval using the wavelet transform and region classification)

  • 황도연;유강수;박영석;박정호;곽훈성
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (2)
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    • pp.349-351
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    • 2001
  • 본 논문에서는 원 영상의 영역 분류와 웨이브렛 변환을 이용하여 영상의 밝기 변화에 관계없이 영상 검색이 가능한 알고리즘을 제안하였다. 이러한 방식을 통해 영상 전체에 대해 검색이 수행되지 않고, 영역 분류 결과인 블록맵과 변환 대역에서의 분산값 등 매우 소량의 정보만을 저장하고 이를 기반으로 영상 검색이 수행되므로 매우 빠르고 효과적인 검색이 가능함을 실험을 통해 확인하였다.

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