• Title/Summary/Keyword: Various regions

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A Feature-Based Robust Watermarking Scheme Using Circular Invariant Regions

  • Doyoddorj, Munkhbaatar;Rhee, Kyung-Hyung
    • Journal of Korea Multimedia Society
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    • v.16 no.5
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    • pp.591-600
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    • 2013
  • This paper addresses a feature-based robust watermarking scheme for digital images using a local invariant features of SURF (Speeded-Up Robust Feature) descriptor. In general, the feature invariance is exploited to achieve robustness in watermarking schemes, but the leakage of information about hidden watermarks from publicly known locations and sizes of features are not considered carefully in security perspective. We propose embedding and detection methods where the watermark is bound with circular areas and inserted into extracted circular feature regions. These methods enhance the robustness since the circular watermark is inserted into the selected non-overlapping feature regions instead of entire image contents. The evaluation results for repeatability measures of SURF descriptor and robustness measures present the proposed scheme can tolerate various attacks, including signal processing and geometric distortions.

Road Extraction Based on Watershed Segmentation for High Resolution Satellite Images

  • Chang, Li-Yu;Chen, Chi-Farn
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.525-527
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    • 2003
  • Recently, the spatial resolution of earth observation satellites is significantly increased to a few meters. Such high spatial resolution images definitely will provide lots of information for detail-thirsty remote sensing users. However, it is more difficult to develop automated image algorithms for automated image feature extraction and pattern recognition. In this study, we propose a two-stage procedure to extract road information from high resolution satellite images. At first stage, a watershed segmentation technique is developed to classify the image into various regions. Then, a knowledge is built for road and used to extract the road regions. In this study, we use panchromatic and multi-spectral images of the IKONOS satellite as test dataset. The experiment result shows that the proposed technique can generate suitable and meaningful road objects from high spatial resolution satellite images. Apparently, misclassified regions such as parking lots are recognized as road needed further refinement in future research.

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Mechanisms of ASR surface cracking in a massive concrete cylinder

  • Kagimoto, Hiroyuki;Yasuda, Yukihiro;Kawamura, Mitsunori
    • Advances in concrete construction
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    • v.3 no.1
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    • pp.39-54
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    • 2015
  • Relative humidity and strains within a massive concrete cylinder (${\varphi}450mm{\times}900mm$) in the drying and the re-saturating process were measured for elucidating the process of ASR surface cracking in concrete. The expansion behavior of mortars in dry atmospheres with various R.H. values and the resaturating process was revealed. Non- or less-expansive layers were formed in near-surface regions in the concrete cylinder in the drying process, but ASR expansions actively progressed in inner portions. After resaturating, R.H. values of near-surface regions rapidly increased with time, but expansions in the regions were found to be very small. However, in the middle portions, of which R.H. values were kept 80% ~ 90% R.H. in the drying process, expansion actively progressed, resulting in further development of surface cracks in the re-saturating process.

Interactive Region Segmentation Method Using Agglomerative Clustering

  • Park, Sanghyun
    • Journal of Advanced Information Technology and Convergence
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    • v.8 no.2
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    • pp.89-99
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    • 2018
  • Due to global warming, various natural disasters such as floods and droughts are increasing. If we can detect the possibility of natural disasters in advance, we can prevent massive damages caused by natural disasters. Recent advances in visual sensor technologies have enabled remote monitoring of a variety of natural environments, including lakes, rivers, and shores. In this paper, we propose a method to segment an image obtained from video sensor networks into regions in order to monitor the environment effectively. In the proposed method, we first partition the image into superpixels and model the connections between superpixels as a graph. Then, initial seeds for each region are set by using the prior information, and the initial seeds are expanded to form regions using agglomerative clustering. Experimental results show that the proposed method extracts the regions from natural environment images easily and accurately.

High-Resolution Spectroscopy of Hydrogen Emission Lines around a Herbig star, MWC 1080 with IGRINS

  • Kim, Il-Joong;Oh, Heeyoung;Jeong, Woong-Seob;Lee, Jae-Joon
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.68.1-68.1
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    • 2019
  • Using IPHAS $H{\alpha}$ data, we found bright $H{\alpha}$ regions inside the elongated $^{13}CO$ cavity around a Herbig star, MWC 1080. To investigate the ionized hydrogen regions and the molecular cavity, we perform near-IR high-resolution spectroscopic of hydrogen Brackett lines and molecular hydrogen lines by Immersion GRating INfrared Spectrograph (IGRINS) observations. We detected broad Brackett line series and sharp molecular lines with various velocity components. We present three ionized hydrogen regions (near MWC 1080A, MWC 1080E, and CO boundary) with different line widths, central radial velocities, and line ratios. We also show two spatially-separate $Br{\gamma}$ ${\lambda}2.1662{\mu}m$ peaks near MWC 1080A. To reveal a 3D structure of the cavity around MWC 1080, we try to use the detected sharp molecular lines.

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What is Epigenomics and how it will be applied to the food industry? (Epigenomics는 무엇이며 식품산업에 어떻게 응용될 것인가?)

  • Yoo, Jin Young;Han, Ga Eun;Lee, Jong Hun
    • Food Science and Industry
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    • v.50 no.1
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    • pp.11-15
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    • 2017
  • Epigenomics is a study that analyzes and quantifies various epigenetic alterations that affect gene expressions in cells from the viewpoint of collective characteristics on biological molecular pools. DNA methylation and histone modification in cells can induce the epigenetic alterations. Especially, epigenetic alterations influenced by external factors as ingested foods and other environmental factors have been examined in the whole genome regions, which provide accumulated data of altered regions or patterns of global genome, Statistical analyses of these regions or patterns enables us to correlate epigenomic changes with human diseases in the whole genome region. Finding meaningful regulators is a major concern of epigenomic research in recent years, and these results will give the food industry an important clue to future food

Comparative Analysis of Chloroplast Genome of Dysphania ambrosioides (L.) Mosyakin & Clemants Understanding Phylogenetic Relationship in Genus Dysphania R. Br.

  • Kim, Yongsung;Park, Jongsun;Chung, Youngjae
    • Korean Journal of Plant Resources
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    • v.32 no.6
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    • pp.644-668
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    • 2019
  • Dysphania ambrosioides (L.) Mosyakin & Clemants which belongs to Chenopodiaceae/Amaranthaceae sensu in APG system has been known as a useful plant in various fields as well as an invasive species spreading all over the world. To understand its phylogenetic relationship with neighbour species, we completed chloroplast genome of D. ambrosioides collected in Korea. Its length is 151,689 bp consisting of four sub-regions: 83,421 bp of large single copy (LSC) and 18,062 bp of small single copy (SSC) regions are separated by 25,103 bp of inverted repeat (IR) regions. 128 genes (84 protein-coding genes, eight rRNAs, and 36 tRNAs) were annotated. The overall GC content of the chloroplast genome is 36.9% and those in the LSC, SSC and IR regions are 34.9%, 30.3%, and 42.7%, respectively. Distribution of simple sequence repeats are similar to those of the other two Dysphania chloroplasts; however, different features can be utilized for population genetics. Nucleotide diversity of Dysphania chloroplast genomes 18 genes including two ribosomal RNAs contains high nucleotide diversity peaks, which may be genus or species-specific manner. Phylogenetic tree presents that D. ambrosioides occupied a basal position in genus Dysphania and phylogenetic relation of tribe level is presented clearly with complete chloroplast genomes.

The Influence of Industrial Structure Upgrading on Carbon Emission Efficiency in China

  • Song, Luyan
    • The Journal of Industrial Distribution & Business
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    • v.10 no.2
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    • pp.7-15
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    • 2019
  • Purpose - The industrial structure upgrading can play an important role in promoting the carbon emission efficiency. Thus, this paper attempts to study the impact of industrial structure upgrading on carbon emission efficiency in order to reduce carbon emissions. Research design, data, and methodology - This paper selects panel data of 30 provinces and municipalities (autonomous regions) in China from 2001 to 2016, and divides them into three regions. The Moore index is used to measure the industrial structure upgrading, the non-radial SBM model based on undesired output is used to measure the slack variable to calculate the total factor carbon emission efficiency. Finally the impact of industrial structure upgrading on the carbon emission efficiency are analyzed. Results - It is found that the Moore index and the carbon emission efficiency in the eastern region is the highest in the three regions. Conclusions - The influence of various influencing factors on carbon emission efficiency is different between regions. The Moore index has a positive effect on the carbon emission efficiency in the eastern region, and has a negative influence coefficient on the central region. The effect on the western region is not obvious.

Image Detection System for Leakage Regions of Hydraulic Fluid in Faring Press Machine (단조프레스기의 유압유 누유영역 영상 감지 시스템)

  • Bae, Sung-Ho
    • Journal of Korea Multimedia Society
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    • v.12 no.11
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    • pp.1557-1562
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    • 2009
  • In the hydraulic room of a forging press machine, a system which can detect and prevent risks at its early stage is needed because there may be a leakage due to the damage of the connection parts of the piping which can endanger human life and mechanical damage. In this paper, the system to automatically recognize a leakage of hydraulic fluid in terms of using the pan/tilt camera from a remote place is implemented. It finds the bounding boxes which are recognized with object regions in the process of labeling and detects the proper leakage regions of hydraulic fluid with the ratios of width and height of the bounding boxes and compactness of the leakage shape. Also, it performs noise removal and calibration for transition and rotation of image as a preprocessing process. The experimental results show that the proposed system has been verified to detect the leakage regions accurately in various sources of light.

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