• 제목/요약/키워드: Fine Mapping

검색결과 128건 처리시간 0.062초

Topographic Monitoring over Land Surface using Radar Altimeter

  • Kim, Yong-Hoon
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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    • pp.174-179
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    • 1998
  • In this paper, the radar altimeter for topographic mapping over land is introduced and the characteristics of the return signals are analyzed. The radar system is described briefly and the requirements to get the fine resolution of the terrain surface height are considered. The designed radar altimeter was tested on the landscape in the near of Stuttgart. The measured data shows very fine profile of the test landscape and the height errors induced from different geometrical structure of the land surface are acquired in the measurement. In the test area, most characteristics of radar return signals over land could be tested and the results of the topographic mapping using our radar altimeter can be used for future radar altimeter development for land applications.

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단지조성공사 내 드론을 활용한 GIS 맵핑 기반 미세먼지 측정 시스템 기초 연구 (Preliminary Study on GIS Mapping-based Fine Dust Measurement in Complex Construction Site)

  • 이재호;한재구;김영현
    • 한국산학기술학회논문지
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    • 제22권2호
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    • pp.319-325
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    • 2021
  • 드론을 활용한 미세먼지 측정은 산업의 발달과 함께 점차 보편화 되고 있으며, 일부 산업 지대에서 미세먼지 모니터링으로 대기 오염원을 파악한다. 건설 공사 현장에서는 현장사무소에 미세먼지 측정소를 따로 마련하여 주변 공인 측정소보다 현장의 미세먼지 농도를 파악할 수 있다. 그러나, 미세먼지를 발생시키는 오염원으로부터 미세먼지 측정을 정확하게 파악하기는 어려우므로 현장 오염원에 가깝게 직접 투입하여 미세먼지 농도를 측정하여 정확성을 높이고자 하였다. 미세먼지측정치가 부착된 드론은 착륙 중에 발생하는 하향풍 영향으로 측정 노이즈가 발생하였으나 높이 30m에서, 맵핑을 진행하였을 때, 오염원의 수치와 유사하게 측정이 되었다. 실험 대상지역에 대한 현장 적용성은 평탄화 작업이 많아 지형이 지속적으로 바뀌기 때문에 위성영상을 활용한 주기적인 업데이트 정보에는 한계가 있었다. 특히, 절토 작업구간에서 위성지도의 정보는 드론의 맵핑 구역과 미세먼지 농도가 지형에 중첩되어 정확한 구현을 위해서는 맵핑도 함께 반영되어야 한다. 따라서, 본 연구에서는 드론을 활용한 GIS 맵핑을 통해 실시간 현장 정보를 반영할 수 있는 시스템을 구현하였다.

Identification and molecular characterization of downy mildew resistant gene candidates in maize (Zea mays subsp. Mays)

  • Kim, Jae Yoon;Kim, Chang-Ho;Kim, Kyung Hee;Lee, Byung-Moo
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.113-113
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    • 2017
  • Downy mildew (DM), caused by several species in the Peronosclerospora and Scleropthora genera, is a major maize (Zea mays L.) disease in tropical or subtropical regions. DM is an obligate parasite species in the higher plants and spreads by oospores, wind, and mycelium in seed surface, soil, and living hosts. Owing to its geographical distribution and destructive yield reduction, DM is one of the most severe maize diseases among the maize pathogens. Positional cloning in combination with phenotyping is a general approach to identify disease resistant gene candidates in plants; however, it requires several time-consuming steps including population or fine mapping. Therefore, in the present study, we suggest a new combination strategy to improve the identification of disease resistant gene candidates. Downy mildew (DM) resistant maize was selected from five cultivars using the spreader row technique. Positional cloning and bioinformatics tools identified the DM resistant QTL marker (bnlg1702) and 47 protein coding genes annotations. Eventually, 5 DM resistant gene candidates, including bZIP34, Bak1, and Ppr, were identified by quantitative RT-PCR without fine mapping of the bnlg1702 locus. Specifically, we provided DM resistant gene candidates with our new strategy, including field selection by the spreader row technique without population preparation, the DM resistance region identification by positional cloning using bioinformatics tools, and expression level profiling by quantitative RT-PCR without fine mapping. As whole genome information is available for other crops, we propose applying our novel protocol to other crops or for other diseases with suitable adjustment.

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On the Fine Spectrum of the Lower Triangular Matrix B(r, s) over the Hahn Sequence Space

  • Das, Rituparna
    • Kyungpook Mathematical Journal
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    • 제57권3호
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    • pp.441-455
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    • 2017
  • In this article we have determined the spectrum and fine spectrum of the lower triangular matrix B(r, s) on the Hahn sequence space h. We have also determined the approximate point spectrum, the defect spectrum and the compression spectrum of the operator B(r, s) on the sequence space h.

Evaluation of a New Fine-mapping Method Exploiting Linkage Disequilibrium: a Case Study Analysing a QTL with Major Effect on Milk Composition on Bovine Chromosome 14

  • Kim, JongJoo;Georges, Michel
    • Asian-Australasian Journal of Animal Sciences
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    • 제15권9호
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    • pp.1250-1256
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    • 2002
  • A novel fine-mapping method exploiting linkage disequilibrium (LD) was applied to better refine the quantitative trait loci (QTL) positions for milk production traits on bovine chromosome 14 in the pedigree comprising 22 paternal half-sib families of a Black-and-White Holstein-Friesian grand-daughter design in the Netherlands for a total of 1,034 sons. The chromosome map was constructed with the 31 genetic markers spanning 90 Kosambi cM with the average inter-marker distance of 3.5 cM. The linkage analyses, in which the effects of sire QTL alleles were assumed random and the random factor of the QTL allelic effects was incorporated into the Animal Model, found the QTL for milk, fat, and protein yield and fat and protein % with the Lod scores of 10.9, 2.3, 6.0, 25.4 and 3.2, respectively. The joint analyses including LD information by use of multi-marker haplotypes highly increased the evidence of the QTL (Lod scores were 25.1, 20.9, 11.0, 85.7 and 17.4 for the corresponding traits, respectively). The joint analyses including DGAT markers in the defined haplotypes again increased the QTL evidence and the most likely QTL positions for the five traits coincided with the position of the DGAT gene, supporting the hypothesis of the direct causal involvement of the DGAT gene. This study strongly indicates that the exploitation of LD information will allow additional gains of power and precision in finding and localising QTL of interest in livestock species, on the condition of high marker density around the QTL region.

Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears

  • Montalbo, Francis Jesmar P.;Alon, Alvin S.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권1호
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    • pp.147-165
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    • 2021
  • In this work, we empirically evaluated the efficiency of the recent EfficientNetB0 model to identify and diagnose malaria parasite infections in blood smears. The dataset used was collected and classified by relevant experts from the Lister Hill National Centre for Biomedical Communications (LHNCBC). We prepared our samples with minimal image transformations as opposed to others, as we focused more on the feature extraction capability of the EfficientNetB0 baseline model. We applied transfer learning to increase the initial feature sets and reduced the training time to train our model. We then fine-tuned it to work with our proposed layers and re-trained the entire model to learn from our prepared dataset. The highest overall accuracy attained from our evaluated results was 94.70% from fifty epochs and followed by 94.68% within just ten. Additional visualization and analysis using the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm visualized how effectively our fine-tuned EfficientNetB0 detected infections better than other recent state-of-the-art DCNN models. This study, therefore, concludes that when fine-tuned, the recent EfficientNetB0 will generate highly accurate deep learning solutions for the identification of malaria parasites in blood smears without the need for stringent pre-processing, optimization, or data augmentation of images.

A Tone Mapping Algorithm Based on Multi-scale Decomposition

  • Li, Weizhong;Yi, Benshun;Huang, Taiqi;Yao, Weiqing;Peng, Hong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권4호
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    • pp.1846-1863
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    • 2016
  • High dynamic range (HDR) images can present the perfect real scene and rich color information. A commonly encountered problem in practical applications is how to well visualize HDR images on standard display devices. In this paper, we propose a multi-scale decomposition method using guided filtering for HDR image tone mapping. In our algorithm, HDR images are directly decomposed into three layers:base layer, coarse scale detail layer and fine detail layer. We propose an effective function to compress the base layer and the coarse scale detail layer. An adaptive function is also proposed for detail adjustment. Experimental results show that the proposed algorithm effectively accomplishes dynamic range compression and maintains good global contrast as well as local contrast. It also presents more image details and keeps high color saturation.

Fine Mutational Analysis of 2B8 and 3H7 Tag Epitopes with Corresponding Specific Monoclonal Antibodies

  • Kim, Tae-Lim;Cho, Man-Ho;Sangsawang, Kanidta;Bhoo, Seong Hee
    • Molecules and Cells
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    • 제39권6호
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    • pp.460-467
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    • 2016
  • Bacteriophytochromes are phytochrome-like light-sensing photoreceptors that use biliverdin as a chromophore. To study the biochemical properties of the Deinococcus radiodurans bacteriophytochrome (DrBphP) protein, two anti-DrBphP mouse monoclonal antibodies (2B8 and 3H7) were generated. Their specific epitopes were identified in our previous report. We present here fine epitope mapping of these two antibodies by using truncation and substitution of original epitope sequences in order to identify minimized epitope peptides. The previously reported original epitope sequences for 2B8 and 3H7 were truncated from both sides. Our analysis showed that the minimal peptide sequence lengths for 2B8 and 3H7 antibodies were nine amino acids (RDPLPFFPP) and six amino acids (PGEIEE), respectively. We further characterized these peptides in order to investigate their reactivity after single deletion and single substitution of the original peptides. We found that single-substituted 2B8 epitope (RDPLPAFPP) and dual-substituted 3H7 epitope (PGEIAD) showed significantly increased reactivity. These two antibodies with high reactivity for the short modified peptide sequences are valueble for developing new peptide tags for protein research.