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Journal of Computers
FCM is used for image segmentation in some applications. It is based on a specific distance norm and does not use spatial information of the image, so it has some drawbacks. Various kinds of improvements have been developed to extend the adaptability, such as BFCM, SFCM and KFCM. These methods extend FCM from two aspects, one is replacing the Euclidean norm, and the other is considering the spatial information constraints for clustering. Kernel distance can improve the robustness fordoi:10.4304/jcp.7.6.1511-1518 fatcat:e5f7ycyfsjdzjb3khtxelxpcja
more »... ibution data sets. Spatial information can help eliminate the sensitivity to noises and outliers. In this paper, Gaussian kernel-based fuzzy c-means algorithm with spatial information (KSFCM) is proposed. KSFCM is more robust and adaptive. The experiment results show that KSFCM has the better performance.
For image registration, feature detection and description are critical steps that identify the keypoints and describe them for the subsequent matching to estimate the geometric transformation parameters between two images. Recently, there has been a large increase in the research methods of detection operators and description operators, from traditional methods to deep learning methods. To solve the problem, that is, which operator is suitable for specific application problems under differentdoi:10.1155/2021/8509164 fatcat:2bgqsygzu5gpdkbsyigzoona6m
more »... aging conditions, the paper systematically reviewed commonly used descriptors and detectors from artificial methods to deep learning methods, and the corresponding principle, analysis, and comparative experiments are given as well. We introduce the handcrafted detectors including FAST, BRISK, ORB, SURF, SIFT, and KAZE and the handcrafted descriptors including BRISK, FREAK, BRIEF, SURF, ORB, SIFT, KAZE. At the same time, we review detectors based on deep learning technology including DetNet, TILDE, LIFT, multiscale detector, SuperPoint, and descriptors based on deep learning including pretrained descriptor, Siamese descriptor, LIFT, triplet network, and SuperPoint. Two group of comparison experiments are compared comprehensively and objectively on representative datasets. Finally, we concluded with insightful discussions and conclusions of descriptor and detector selection for specific application problem and hope this survey can be a reference for researchers and engineers in image registration and related fields.
In this paper, an efficient multi-modal medical image fusion approach is proposed based on local features contrast and bilateral sharpness criterion in nonsubsampled contourlet transform (NSCT) domain. Compared with other multiscale decomposition analysis tools, the nonsubsampled contourlet transform not only can eliminate the "blockeffect" and the "pseudo-effect", but also can represent the source image in multiple direction and capture the geometric structure of source image in transformdoi:10.1587/transinf.e96.d.2215 fatcat:lbgua5jxnfd5fooh5qysechowy
more »... n. These advantages of NSCT can, when used in fusion algorithm, help to attain more visual information in fused image and improve the fusion quality. At the same time, in order to improve the robustness of fusion algorithm and to improve the quality of the fused image, two selection rules should be considered. Firstly, a new bilateral sharpness criterion is proposed to select the lowpass coefficient, which exploits both strength and phase coherence. Secondly, a modified SML (sum modified Laplacian) is introduced into the local contrast measurements, which is suitable for human vision system and can extract more useful detailed information from source images. Experimental results demonstrate that the proposed method performs better than the conventional fusion algorithm in terms of both visual quality and objective evaluation criteria. key words: image fusion, medical image, nonsubsampled contourlet transform
In this work, the CMK-3 is successfully prepared with SBA-15 as the template and first annealed to 2000 °C to improve thermal conductivity. The annealed CMK-3 has a thermal conductivity of 6.981 W m−1 K−1 higher than un-annealed CMK-3. The annealed CMK-3 is used to encapsulate the RT44HC, and RT44HC/annealed CMK-3 has 10-fold of thermal conductivity and enhanced thermal stability than RT44HC. The RT44HC/annealed CMK-3 has a large melting enthalpy of 177.8 J g−1 and good thermal stability. Thedoi:10.3390/nano9030364 pmid:30841489 pmcid:PMC6474144 fatcat:x6islzoj35akdcldyppcvmi4bm
more »... 44HC/annealed CMK-3 has optical absorptive coefficient of visible range of solar spectrum, which identify seven-fold higher than RT44HC. The RT44HC/annealed CMK-3 has great photo-thermal performance, and the photo-driven energy charging and discharging rate of RT44HC/annealed CMK-3 is almost 30-fold larger than the RT44HC. The results show that the annealed CMK-3 is a great mesoporous carbon nanomaterial for phase change materials and the annealed CMK-3 based phase change material has great potential in solar thermal utilizations such as solar water heating system and solar heating building systems.
As a dedicated solar radio interferometer, the MingantU SpEctral RadioHeliograph (MUSER) generates massive observational data in the frequency range of 400 MHz -- 15 GHz. High-performance imaging forms a significantly important aspect of MUSER's massive data processing requirements. In this study, we implement a practical high-performance imaging pipeline for MUSER data processing. At first, the specifications of the MUSER are introduced and its imaging requirements are analyzed. Referring todoi:10.1088/1538-3873/aa9608 fatcat:zd46rqb6kzel5pb37osprwccqe
more »... e most commonly used radio astronomy software such as CASA and MIRIAD, we then implement a high-performance imaging pipeline based on the Graphics Processing Unit (GPU) technology with respect to the current operational status of the MUSER. A series of critical algorithms and their pseudo codes, i.e., detection of the solar disk and sky brightness, automatic centering of the solar disk and estimation of the number of iterations for clean algorithms, are proposed in detail. The preliminary experimental results indicate that the proposed imaging approach significantly increases the processing performance of MUSER and generates images with high-quality, which can meet the requirements of the MUSER data processing.
Phenol-formaldehyde (PF) resin, modified using nano-copper with varying contents (0 wt%, 1 wt%, 3 wt%), was manufactured to improve the mechanical properties of Chinese fir. The morphology, chemical, micromechanical and micromechanical properties of the samples were determined by transmission electron microscopy (TEM), atomic force microscopy (AFM), environmental scanning electron microscopy (ESEM), Fourier transform infrared spectroscopy (FTIR), nanoindentation (NI) and traditional mechanicaldoi:10.3390/polym13060876 pmid:33809198 fatcat:y3a2byvdtvgs7ditmy3lumlrzq
more »... esting. The TEM and AFM results indicated that the in situ synthesized nano-copper particles were well-dispersed, and spherical, with a diameter of about 70 nm in PF resin. From the FTIR chemical changes detected by FTIR inferred that the nano-copper modified PF resin penetrated into the Chinese fir cell walls and interacted with the acetyl groups of hemicellulose by forming a crosslinked structure. Accordingly, the micro-mechanical properties of the Chinese fir cell walls were enhanced after treatment with nano-copper modified PF resin. The filling of the PF-1-Cu resin (1 wt% nano-copper) in the wood resulted in 13.7% and 22.2% increases in the elastic modulus (MOE) and hardness, respectively, of the cell walls. Besides, the impact toughness and compressive strength of the Chinese fir impregnated with PF-1-Cu resin were 21.8% and 8.2% higher than that of the PF-0-Cu resin. Therefore, in situ synthesized nano-copper-modified PF resin is a powerful treatment method for Chinese fir due to improved diffusive properties and reinforcement of the mechanical properties.
serves an important role in immune responses and antitumor activity. The study of the association between autophagy and cancer cells remains controversial. The present study aimed to investigate the effect of IL-12 on autophagy in the human breast cancer cell lines MDA-MB-231 and MCF-7, and the possible molecular mechanism. Breast cancer cells were treated with different concentrations of recombinant IL-12. The expression of the autophagy-associated protein microtubule-associated protein lightdoi:10.3892/mmr.2017.7114 pmid:28765958 fatcat:e4mv7byfdbgrjlcmpsehtqx7qe
more »... hain 3 (LC3) was determined using western blot analysis, fluorescein isothiocyanate-labeled LC3 was detected using fluorescence microscopy and autophagosomes were examined using transmission electron microscopy. Alterations in the phosphatidylinositol 3-kinase/Rac-α serine/threonine protein kinase (PI3K/Akt) and 5'-AMP-activated protein kinase subunit β-1 (AMPK) pathways, in addition to pathway-associated proteins, were detected using western blotting, following treatment with IL-12 and pretreatment with the PI3K/Akt activator insulin-like growth factor or the AMPK inhibitor compound C. It was observed that IL-12 was able to upregulate the expression of the autophagy-associated protein LC3 in a concentration-and time-dependent manner, and induce the formation of autophagosomes in the two cell lines, and that the above effects involved the inhibition of the PI3K/Akt signaling pathway and the activation of the AMPK signaling pathway.
The volume of data generated by modern astronomical telescopes is extremely large and rapidly growing. However, current high-performance data processing architectures/frameworks are not well suited for astronomers because of their limitations and programming difficulties. In this paper, we therefore present OpenCluster, an open-source distributed computing framework to support rapidly developing high-performance processing pipelines of astronomical big data. We first detail the OpenClusterdoi:10.1088/1538-3873/129/972/024001 fatcat:k3ctb7mli5bdbgalj7qzigj23e
more »... n principles and implementations and present the APIs facilitated by the framework. We then demonstrate a case in which OpenCluster is used to resolve complex data processing problems for developing a pipeline for the Mingantu Ultrawide Spectral Radioheliograph. Finally, we present our OpenCluster performance evaluation. Overall, OpenCluster provides not only high fault tolerance and simple programming interfaces, but also a flexible means of scaling up the number of interacting entities. OpenCluster thereby provides an easily integrated distributed computing framework for quickly developing a high-performance data processing system of astronomical telescopes and for significantly reducing software development expenses.
A Distributed Data Storage System (DDSS) for real-time observational data storage based on the Lustre distributed file system was implemented on the NVST (Liu et al. 2015) . ... new data archiving system for the NVST based on the Fastbit NoSQL database has been implemented, where the average number of records generated by NVST in one year is approximately 10 to 12 million (Liu ...doi:10.1088/1538-3873/aa732d fatcat:6r3thdvz5bdkhaf4aclodn3flq
The traditional ISTA  can only get D(x), but Yunsong Liu,  proposes projected ISTA which get x directly, introducing a canonical dual frame to construct an orthogonal projection operator: (D ...arXiv:1902.09878v3 fatcat:3zrblmqtzzaofit7hktu4vtxtu
High thermal conductivity and good mechanical properties are significant for photo-thermal conversion in solar energy utilization. In this work, we constructed a three-dimensional network structure in polyethylene (PE) and ethylene-propylene-diene monomer (EPDM)-based phase change composites by mixing with a carbon nanotube (CNT). Two-dimensional flake expanded graphite in PE-EPDM-based phase change materials and one-dimensional CNT were well mixed to build dense three-dimensional thermaldoi:10.3390/polym14112285 pmid:35683956 pmcid:PMC9182896 fatcat:blnegmdwgfek7jdsw7xex5x3ra
more »... ys. We show that CNT (5.40%wt)-PE-EPDM phase change composites deliver excellent thermal conductivity (3.11 W m−1 K−1) and mechanical properties, with tensile and bending strength of 10.19 and 21.48 MPa. The melting and freezing temperature of the optimized phase change composites are measured to be 64.5 and 64.2 °C and the melting and freezing latent enthalpy are measured to be 130.3 and 130.5 J g−1. It is found that the composite phase change material with high thermal conductivity is conducive to the rapid storage of solar energy, so as to improve the efficiency of heat collection.
Contents Original articles Yusuke Kita and Junji Sugiyama Wood identification of two anatomically similar Cupressaceae species based on two-dimensional microfibril angle mapping 591 Xianzhi Gao, Guangyan Liu ... Sebastian Dahle Treatment of wood with atmospheric plasma discharge: study of the treatment process, dynamic wettability and interactions with a waterborne coating 603 Qiming Feng, Yanhui Huang, Cuiyin ...doi:10.1515/hf-2021-frontmatter7 fatcat:bewzvkkohvaubaa33goq3jywxq
Based on questionnaires and interviews, Liu Cuiyin and others explored and summarized the problems in the implementation of university online general education courses and put forward corresponding countermeasures ... , Zhang, & Liu, 2017) . ...doi:10.4236/jss.2021.96022 fatcat:x2bzcnwc5rfvdfvgl24knqdv34
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