• 제목/요약/키워드: complementary distribution

검색결과 185건 처리시간 0.021초

COMPARISON OF SPECKLE REDUCTION METHODS FOR MULTISOURCE LAND-COVER CLASSIFICATION BY NEURAL NETWORK : A CASE STUDY IN THE SOUTH COAST OF KOREA

  • Ryu, Joo-Hyung;Won, Joong-Sun;Kim, Sang-Wan
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.144-147
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    • 1999
  • The objective of this study is to quantitatively evaluate the effects of various SAR speckle reduction methods for multisource land-cover classification by backpropagation neural network, especially over the coastal region. The land-cover classification using neural network has an advantage over conventional statistical approaches in that it is distribution-free and no prior knowledge of the statistical distributions of the classes is needed. The goal of multisource land-cover classification acquired by different sensors is to reduce the classification error, and consequently SAR can be utilized an complementary tool to optical sensors. SAR speckle is, however, an serious limiting factor when it is exploited for land-cover classification. In order to reduce this problem. we test various speckle methods including Frost, Median, Kuan and EPOS. Interpreting the weights about training pixel samples, the “Importance Value” of each SAR images that reduced speckle can be estimated based on its contribution to the classification. In this study, the “Importance Value” is used as a criterion of the effectiveness.

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음식물쓰레기와 폐활성 슬러지를 이용한 생물학적 수소생산

  • 상병인;이윤지;김동임;김동건;김지성;유명진;박대원
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2005년도 제17회 워크샵 및 추계학술대회
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    • pp.299-306
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    • 2005
  • Anaerobic fermentation of food waste (FW) and waste activated sludge (WAS) for hydrogen production was performed in CSTR (Continuous Stirred tank reactor) under various HRTs and volumetric mixing ratio (V/V) of two substrates, FW and WAS. The specific hydrogen production potential of FW was higher than that of WAS. However, pH drop in the CSTR for hydrogen production from FW was higher than that from WAS. The maintenance of desired pH during fermentative hydrogen production is regarded as the most important operation parameter for the stable hydrogen production. Therefore, when the potential of hydrogen production from FW and better buffer capacity of WAS, the proper mixture of FW and WAS for fermentative hydrogen production were considered as a useful complementary substrate. The maximum yield of specific hydrogen production, 140 mL/g VSS, was found at HRT of 2 day and the volumetric mixing ratio of 20:80 (WAS : FW). The spatial distribution of hydrogen producing bacteria was observed in anaerobic fermentative reactor using fluorescent in situ hybridization (FISH) method.

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COMPOUNDED METHOD FOR LAND COVERING CLASSIFICATION BASED ON MULTI-RESOLUTION SATELLITE DATA

  • HE WENJU;QIN HUA;SUN WEIDONG
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.116-119
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    • 2005
  • As to the synthetical estimation of land covering parameters or the compounded land covering classification for multi-resolution satellite data, former researches mainly adopted linear or nonlinear regression models to describe the regression relationship of land covering parameters caused by the degradation of spatial resolution, in order to improve the retrieval accuracy of global land covering parameters based on 1;he lower resolution satellite data. However, these methods can't authentically represent the complementary characteristics of spatial resolutions among different satellite data at arithmetic level. To resolve the problem above, a new compounded land covering classification method at arithmetic level for multi-resolution satellite data is proposed in this .paper. Firstly, on the basis of unsupervised clustering analysis of the higher resolution satellite data, the likelihood distribution scatterplot of each cover type is obtained according to multiple-to-single spatial correspondence between the higher and lower resolution satellite data in some local test regions, then Parzen window approach is adopted to derive the real likelihood functions from the scatterplots, and finally the likelihood functions are extended from the local test regions to the full covering area of the lower resolution satellite data and the global covering area of the lower resolution satellite is classified under the maximum likelihood rule. Some experimental results indicate that this proposed compounded method can improve the classification accuracy of large-scale lower resolution satellite data with the support of some local-area higher resolution satellite data.

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광 도시메트리시스템을 이용한 치료용 6 MV X선 선량분포 평가 (Evaluation of Dose Distribution of 6 MV X-ray using Optical Dosimetry)

  • 김성환
    • 한국방사선학회논문지
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    • 제13권7호
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    • pp.925-932
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    • 2019
  • 플라스틱 섬광체와 상용 50 mm, f1.8 렌즈 및 고감도 CMOS 카메라를 사용하여 방사선치료 시 흡수선량을 측정할 수 있는 광 도시메트리 시스템을 구축하였다. 아울러 촬영된 방사선 분포 영상에 대한 비네팅 보정, 기하학적 왜곡 보정, 스케일 보정을 통하여 화소값으로 선량을 교정하는 절차를 확립하였다. 개발된 광 도시메트리 시스템을 6 MV 의료용 선형가속기에 대하여 선량 특성 평가를 수행한 결과, 심부선량백분율은 이온챔버로 측정한 결과에 비하여 빌드 업 깊이 이상에서는 오차 범위 2% 이내로 일치하였으며, 90% 조사야에 대하여 2.8%의 평탄도가 측정됨에 따라 방사선치료선량 측정 시스템으로서의 충분한 활용가능성을 확인하였다.

NOAA/AVHRR NDVI를 이용한 북한지역 봄 가뭄 분석 (Analysis of Spring Drought Using NOAA/AVHRR NDVI for North Korea)

  • 장민원;유승환;최진용
    • 한국농공학회논문집
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    • 제49권6호
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    • pp.21-33
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    • 2007
  • Different vegetation indices from satellite images have been used for monitoring drought damages, and this study aimed to develop a drought index using NOAA/AVHRR NDVI(Normalized Difference Vegetation Index) and to analyze the temporal and spatial distribution of spring drought severity in North Korea from 1998 to 2001. A new drought index, DevNDVI(Deviation of NDVI), was defined as the difference between a monthly NDVI and average monthly NDVI at the same cover area, and the DevNDVI images at all years except for 2001 demonstrated the drought-damaged areas referred from various domestic and foreign publications. The vegetation of 2001 showed high vitality despite the least amount of rainfall among the target years, and the reason was investigated that higher temperature above normal average would shift the growing stages of plants ahead. Therefore, complementary methods like plant growth models or ground survey data should be adopted in order to evaluate drought-induced plant stress using satellite-based NDVI and to make up far the distortion induced by other environments than lack of precipitation.

Regulatory Disclosure of Large Business Groups in Korea

  • GWON, Jae-Hyun
    • Asian Journal of Business Environment
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    • 제10권1호
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    • pp.45-50
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    • 2020
  • Purpose: This paper examines the theoretical grounds for the disclosure of the Korea Fair Trade Commission. Three central measures of the disclosure are scrutinized: The interconnected status of affiliate companies, the important matters of private affiliates, and the large internal transactions. Contemplating on three measures, respectively, we review the rationale and derive policy implications. Research design, data, and methodology: Collecting the data of violation rates and remedial measures, we analyze the intensity of the disclosure enforcement. These statistics are critically reviewed by the economic literature of mandatory disclosure. Results: Statistics evince that the Korea Fair Trade Commission has enforced the regulatory disclosure quite successfully. Violation rates of the disclosure has declined from the outset. It demonstrates that the Korea Fair Trade Commission has enforced those measures satisfactorily for about a decade. But we cannot ascertain empirically whether the regulatory disclosures are socially and economically beneficial. To evaluate the effect of the regulatory disclosures precisely, we need a further empirical investigation. Conclusions: Despite the lack of policy evaluation, this study suggests complementary measures for current disclosures. First, disclosure of executive compensation in privately held subsidiaries must be introduced. Second, the controlling shareholder/manager should be responsible for information disclosure on foreign subsidiaries.

급수관내 염소 주입이 미생물의 증식과 부식에 미치는 영향 (The Influence of Chlorine Application on Corrosion and Bacterial Growth in Home Plumbing Systems)

  • 김태현;이윤진;임승주
    • 한국환경보건학회지
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    • 제32권5호
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    • pp.431-439
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    • 2006
  • This research was conducted using a model home plumbing system composed of copper, stainless steel, galvanized iron, carbon steel, and PVC (polyvinyl chloride) pipe. The number of bacteria present in stainless steel pipe and PVC was higher than other pipes. High turbidity and zinc release were found in galvanized iron pipe material and detected during the first 6 months. Conversely, there was a decrease in turbidity and zinc release after 6 months resulting in levels similar to other pipes. Copper concentration decreased as operation times increased. In this experiment, the number of bacteria detected in biofilm for a copper pipe continued to increase. Pipe material influenced bacterial numbers in biofilm and water. This showed that elevated chlorine could not control bacterial growth in biofilm for galvanized iron and stainless steel systems. It also suggested that the dosing of chlorine might not be available for all kinds of pipes. Therefore, another complementary method should be introduced to manage biofilm effectively in water distribution systems.

모바일 애플리케이션 전략: 모바일 쇼핑 앱 사용 효과 실증 연구 (A Mobile App Strategy: An Empirical Study on the Effect of the Mobile Shopping App Usage)

  • 최진선;김승현
    • 지식경영연구
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    • 제20권4호
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    • pp.169-183
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    • 2019
  • The growth of mobile commerce (m-commerce) has been accelerated around the world. Why do e-retailers have to put a great deal of effort for the distribution of their mobile apps? The literature has paid little attention to the influence of the introduction of an e-commerce app on shopping behaviors of consumers. By analyzing the dataset of 2,342 users in Korea, this study aims to broaden our understanding of mobile shopping app usage across competing e-retailers and different channels. We found that a user's prior usage of a specific e-commerce mobile app increases her subsequent usage of its website through a mobile web browser. Thus, mobile apps do not cannibalize the mobile web channel, and there could be a complementary relationship. We also found that a user's usage of competitors' apps is positively associated with her subsequent usage of a specific e-commerce app. Because many consumers search products and compare prices across multiple e-retailers, having a mobile app helps an e-retailer be exposed to more potential consumers. This study is among the first to study the role of mobile apps in e-commerce by showing the dynamics of cross-channel and cross-vendor usage by a user.

Segment-based Image Classification of Multisensor Images

  • Lee, Sang-Hoon
    • 대한원격탐사학회지
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    • 제28권6호
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    • pp.611-622
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    • 2012
  • This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.

Bayesian Variable Selection in the Proportional Hazard Model with Application to Microarray Data

  • Lee, Kyeong-Eun;Mallick, Bani K.
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2005년도 춘계 학술발표회 논문집
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    • pp.17-23
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    • 2005
  • In this paper we consider the well-known semiparametric proportional hazards models for survival analysis. These models are usually used with few covariates and many observations (subjects). But, for a typical setting of gene expression data from DNA microarray, we need to consider the case where the number of covariates p exceeds the number of samples n. For a given vector of response values which are times to event (death or censored times) and p gene expressions(covariates), we address the issue of how to reduce the dimension by selecting the significant genes. This approach enables us to estimate the survival curve when n ${\ll}$p. In our approach, rather than fixing the number of selected genes, we will assign a prior distribution to this number. The approach creates additional flexibility by allowing the imposition of constraints, such as bounding the dimension via a prior, which in effect works as a penalty To implement our methodology, we use a Markov Chain Monte Carlo (MCMC) method. We demonstrate the use of the methodology to diffuse large B-cell lymphoma (DLBCL) complementary DNA (cDNA) data and Breast Carcinomas data.

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