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243 results on '"Han, Yilin"'

1. Crossed real nodal-line phonons in gold monobromide

Author

Han, Yilin, Liu, Yichen, Cui, Chaoxi, Liu, Cheng-Cheng, and Yu, Zhi-Ming

Subjects
Condensed Matter - Materials Science, Physics - Computational Physics
Abstract

Spacetime inversion symmetry can generate intriguing types of spinless excitations in crystalline materials. Here, we propose a topological phase protected by spacetime inversion symmetry - the crossed real nodal line (RNL) in the phonon spectrum of gold monobromide (AuBr). In AuBr, there exist four straight nodal lines, which are linked by a crossed nodal line formed by two lower bands. Remarkably, each adjacent two of the four straight nodal lines is a pair, forming a crossed RNL with nontrivial real Chern number. Such configuration and pairing mode of RNL have never been reported. The crossed RNL exhibits unique surface and hinge states distinguished from that of the conventional RNLs. The symmetry protection and the transformation under the symmetry-preserving strain of the crossed RNL are also investigated. Our results open the door to a new class of topological states, and predict its realization in experimentally synthesized material.

Published
2024

2. Electric Hall Effect and Quantum Electric Hall Effect

Author

Cui, Chaoxi, Zhang, Run-Wu, Han, Yilin, Yu, Zhi-Ming, and Yao, Yugui

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

Exploring new Hall effect is always a fascinating research topic. The ordinary Hall effect and the quantum Hall effect, initially discovered in two-dimensional (2D) non-magnetic systems, are the phenomena that a transverse current is generated when a system carrying an electron current is placed in a magnetic field perpendicular to the currents. In this work, we propose the electric counterparts of these two Hall effects, termed as electric Hall effect (EHE) and quantum electric Hall effect (QEHE). The EHE and QEHE emerge in 2D magnetic systems, where the transverse current is generated by applying an electric gate-field instead of a magnetic field. We present a symmetry requirement for intrinsic EHE and QEHE. With a weak gate-field, we establish an analytical expression of the intrinsic EHE coefficient. We show that it is determined by intrinsic band geometric quantities: Berry curvature and its polarizability which consists of both intraband and interband layer polarization. Via first-principles calculations, we investigate the EHE in the monolayer Ca(FeN)$_2$, where significant EHE coefficient is observed around band crossings. Furthermore, we demonstrate that the QEHE can appear in the semiconductor monolayer $\rm BaMn_2S_3$, of which the Hall conductivity exhibits steps that take on the quantized values $0$ and $\pm1$ in the unit of $e^2/h$ by varying the gate-field within the experimentally achievable range. Due to the great tunability of the electric gate-field, the EHE and QEHE proposed here can be easily controlled and should have more potential applications., Comment: 7 pages, 3 figures

Published
2024

3. Hidden Real Topology and Unusual Magnetoelectric Responses in Monolayer Antiferromagnetic Cr$_2$Se$_2$O

Author

Gong, Jialin, Wang, Yang, Han, Yilin, Cheng, Zhenxiang, Wang, Xiaotian, Yu, Zhi-Ming, and Yao, Yugui

Subjects
Condensed Matter - Materials Science
Abstract

Recently, the real topology has been attracting widespread interest in two dimensions (2D). Here, based on first-principles calculations and theoretical analysis, we reveal the monolayer Cr$_2$Se$_2$O (ML-CrSeO) as the first material example of a 2D antiferromagnetic (AFM) real Chern insulator (RCI) with topologically protected corner states. Unlike previous RCIs, we find that the real topology of the ML-CrSeO is rooted in one certain mirror subsystem of the two spin channels, and can not be directly obtained from all the valence bands in each spin channel as commonly believed. In particular, due to antiferromagnetism, the corner modes in ML-CrSeO exhibit strong corner-contrasted spin polarization, leading to spin-corner coupling (SCC). This SCC enables a direct connection between spin space and real space. Consequently, large and switchable net magnetization can be induced in the ML-CrSeO nanodisk by electrostatic means, such as potential step and in-plane electric field, and the corresponding magnetoelectric responses behave like a sign function, distinguished from that of the conventional multiferroic materials. Our work considerably broadens the candidate range of RCI materials, and opens up a new direction for topo-spintronics and 2D AFM materials research.

Published
2023

4. Four-band tight-binding model of TiSiCO-family monolayers

Author

Cui, Chaoxi, Han, Yilin, Zhang, Ting-Ting, Yu, Zhi-Ming, and Yao, Yugui

Subjects
Condensed Matter - Materials Science
Abstract

The TiSiCO-family monolayers have recently been attracting significant attention due to their unique valley-layer coupling (VLC). In this work, we present a minimal, four-band tight-binding (TB) model to capture the low-energy physics of the TiSiCO-family monolayers $X_{2}Y$CO$_{2}$ ($X=$ Ti, Zr, Hf; $Y=$ Si, Ge) with strong VLC. These monolayers comprise two $X$ atom layers separated by approximately $4$ \AA ~in the out-of-plane direction. Around each valley ($X$ or $X'$), the conduction and valence bands are mainly dominated by the $A_{1}\{d_{z^{2}(x^{2}-y^{2})}\}$ and $B_{2}\{d_{yz}\}$ orbitals of the top $X$ atoms,and the $A_{1}\{d_{z^{2}(x^{2}-y^{2})}\}$ and $B_{1}\{d_{xz}\}$ orbitals of the bottom $X$ atoms. Using these four states as a basis, we construct a symmetry-allowed TB model. Through parameter fitting from first-principles calculations, the four-band TB model not only reproduces the electronic band structure, but also captures the strong VLC, high-order topology, and valley-contrasting linear dichroism of the monolayers. Furthermore, the TB model reveals that these monolayers may exhibit various intriguing topological phases under electric fields and biaxial strains. Hence, the TB model established here can serve as the starting point for future research exploring the physics related to VLC and the $X_{2}Y$CO$_{2}$ monolayers., Comment: 8 pages

Published
2023

5. Cornertronics in Two-Dimensional Second-Order Topological Insulators

Author

Han, Yilin, Cui, Chaoxi, Li, Xiao-Ping, Zhang, Ting-Ting, Zhang, Zeying, Yu, Zhi-Ming, and Yao, Yugui

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

Traditional electronic devices rely on the electron's intrinsic degrees of freedom (d.o.f.) to process information. However, additional d.o.f. like the valley, can emerge in the low-energy states of certain systems. Here, we show that the quantum dots (QDs) constructed from two-dimensional (2D) second-order topological insulators (SOTI) posses a new kind of d.o.f., namely corner freedom, related to the topological corner states that reside at different corners of the systems. Since the corner states are well separated in real space, they can be individually and intuitively manipulated, giving rise to the concept of cornertronics. Via symmetry analysis and material search, we identify the TiSiCO-family monolayers as the first prototype of cornertronics materials, where the corner states can be controlled by both electric and optical fields, due to novel corner-layer coupling (CLC) effect and corner-contrasted linear dichroism. Furthermore, we find that the band gap of the TiSiCO nanodisk lies in the terahertz region and is robust to size reduction. These results indicate that the TiSiCO nanodisks can be used to design terahertz devices with ultrasmall size and electric-field tunable band gap. Besides, the TiSiCO nanodisks are simultaneously sensitive to both the strength and polarization of the terahertz waves. Our findings not only pave the way for cornertronics, but also open a new direction for research in 2D SOTI, QD and terahertz electronics.

Published
2023
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10. Path Planning Method for Multi-robot Formation System Based on Hierarchical Reinforcement Learning

Author

Han, Yilin, Wang, Lili, Yang, Hongyong, Fan, Zhilin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, Fu, Yongling, editor, and Zhao, Shoujun, editor

Published
2022
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11. A Path Planning Method for Multi-robot Formation Based on Improved Q-Learning

Author

Fan, Zhilin, Yang, Hongyong, Han, Yilin, Ning, Xinshun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, Fu, Yongling, editor, Yu, Zhiyuan, editor, and Zheng, Song, editor

Published
2022
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12. Path Planning in Unknown Environment Based on Reinforcement Learning

Author

Ning, Xinshun, Yang, Hongyong, Fan, Zhilin, Han, Yilin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, Fu, Yongling, editor, Yu, Zhiyuan, editor, and Zheng, Song, editor

Published
2022
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13. Path Planning for Mobile Robots Based on Improved Reinforcement Learning

Author

Han, Yilin, Yang, Hongyong, Fan, Zhilin, Ning, Xinshun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Jia, Yingmin, editor, Zhang, Weicun, editor, Fu, Yongling, editor, Yu, Zhiyuan, editor, and Zheng, Song, editor

Published
2022
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18. Evaluation of Promising Characteristics of Rhizomatous Alfalfa Male Sterile Mutant Accessions.

Author

Wang, Ming, Shi, Shangli, Kang, Wenjuan, Jing, Fang, Cheng, Xi, Du, Yuanyuan, and Han, Yilin

Subjects
FEED analysis, POLLEN viability, PRINCIPAL components analysis, MALE sterility in plants, PLANT yields
Abstract

Evaluating key traits of male sterile mutant accessions in rhizomatous alfalfa (Medicago sativa L.) is crucial for selecting plants for artificial hybrid breeding of rhizomatous maternal lines. In this study, branch cuttings from four male sterile mutant accessions of 'Qingshui' alfalfa were used as experimental samples. We evaluated phenotypic traits, which included pollen viability and stigma receptivity, as well as nutritional quality, using difference analysis, correlation analysis, and principal component analysis. Prioritizing pollen viability and stigma receptivity, while considering phenotypic traits and nutritional quality as supplementary factors, allowed us to comprehensively evaluate 24 rhizomatous alfalfa individuals. This evaluation led to the identification of four male sterile mutant accessions with superior traits. The pollen from accession 4-4 was found to be partially fertile, whereas the remaining 23 alfalfa individuals were entirely male sterile. All 24 individuals exhibited stigma receptivity levels suitable for effective pollination. Principal component analysis revealed that among the assessed traits, the leaf–stem ratio contributed most significantly, followed by crude protein content, while neutral detergent fiber content had the least impact on overall quality. Additionally, the number of branches showed a strong positive correlation with individual plant yield (p < 0.01). No significant correlations were detected among plant height, stem diameter, forage grading index, crude protein, neutral detergent fiber, acid detergent fiber content, and yield. Overall, our comprehensive evaluation suggests that accessions 1-2, 2-2, 3-1, and 4-3 are most suitable for use as parental lines in artificial hybrid breeding. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Investigation of Nitrogen Fixation Efficiency in Diverse Alfalfa Varieties Utilizing Sinorhizobium meliloti LL2.

Author

Han, Yilin, Kang, Wenjuan, Shi, Shangli, Guan, Jian, Du, Yuanyuan, He, Fuqiang, Lu, Baofu, and Wang, Ming

Subjects
*NITROGEN fixation, *ROOT-tubercles, *PLANT growth, *BIOMASS, *NITROGENASES
Abstract

To investigate the precise and efficient symbiosis between Sinorhizobium meliloti LL2 and different alfalfa varieties, we conducted experiments using eight alfalfa varieties along with the S. meliloti LL2. Our objective was to identify highly effective symbiotic combinations by analyzing differences in nodulation, nitrogen fixation, and biomass accumulation. The results revealed that Gannong NO.9 had higher values for single effective root nodule weight (1.30 mg) and the number of infected cells in root nodules (2795) compared to other varieties (p < 0.05). Additionally, Gannong NO.9 exhibited the highest nitrogenase activity (0.91 μmol·g−1·h−1), nitrogen fixation percentage (67.16%), and amount of nitrogen fixation (18.80 mg/pot). Moreover, there was a significant 26.50% increase in aboveground tissue nitrogen accumulation compared to the control check (CK) (p < 0.05). Furthermore, underground tissue showed excellent values for nitrogen accumulation (35.68 mg/plant) and crude protein content (17.75%) when compared with other treatments. The growth of plants was demonstrated by the combined impact of nodulation and nitrogen fixation. The distribution of biomass after nitrogen fixation was compared to the control group (p < 0.05) to investigate accumulation. The eight combinations of symbiotic nitrogen fixation (SNF) were classified into six distinct types based on their significantly different biomass growth rates compared to CK. ① Aboveground accumulation type: Gannong NO.9 (there was a 24.31% increase in aboveground dry weight); ② aboveground and underground accumulation type: Qingshui (the aboveground dry weight increased by 135.94%, while the underground dry weight grew by 35.26%); ③ aboveground accumulation, underground depletion type: Gannong NO.5 (); ④ zero-growth type (there was no significant difference in dry weights, both above and below ground, compared to CK): WL168HQ, WL319HQ and Longzhong; ⑤ aboveground and underground depletion type: WL298HQ (the aboveground dry weight decreased by 29.29%, while the underground dry weight decreased by 20.23%); ⑥ underground depletion type: Gannong NO.3 (the underground dry weight showed a decrease of 34.49%); no type with aboveground consumption and underground accumulation was found. The study clarified the optimal combination of LL2 and Gannong NO.9, finding that biomass accumulation after symbiotic nitrogen fixation is variety-dependent. [ABSTRACT FROM AUTHOR]

Published
2024
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22. First−Principle Study on Electronic Structure and Magnetism in Doped Boron Phosphide Nanosheet.

Author

Liu, Yaxuan, Han, Yilin, Wang, Min, Liu, Peimeng, Lu, Jing, Ren, Jie, and Zhou, Tiege

Subjects
*MAGNETIC coupling, *MAGNETIC structure, *MAGNETIC properties, *MAGNETIC moments, *MAGNETISM
Abstract

Based on the first‐principles calculation of density‐functional theory, the electronic structure and magnetic properties of hexagonal boron phosphide (h‐BP) with doping and applying strain to the transition‐metal (TM = Cr, Mn, Fe, Co, and Ni) elements are investigated. After the TM elements are introduced, the magnetism is induced. The magnetic moments are 3.00, 3.87, 1.00, 1.99, and 1.00 μB, respectively, which mainly contributed by the 3d orbitals of TM elements. In the case of magnetic coupling, Cr–Cr are mainly coupled antiferromagnetically at different distances. In addition, Fe–Fe performs a ferromagnetic state, and Co–Co represents an antiferromagnetic state with the distance of 3.213 Å. After applied strain, Co doped of the system shows the characteristics of semimetals under the application of 4% strain. It can be added that for h‐BP systems, doping Co and Mn increases its conductivity, which is beneficial to the study of spintronic materials. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Dimensional Upgrade Induced Enriched Active Sites and Intensified Intramolecular Electron Donor–Acceptor Interaction to Boost Oxygen Reduction Electrocatalysis.

Author

Cheng, Ruiqi, Ran, Biao, Zhang, Xinlong, Han, Yilin, Shao, Xichen, Li, Huanxin, and Fu, Chaopeng

Subjects
CHARGE exchange, OXYGEN reduction, CHARGE transfer, SUSTAINABILITY, ELECTROCATALYSIS, ELECTRON donors
Abstract

Conjugated 2D covalent organic frameworks (2D‐COFs) have garnered interest as potential cost‐efficient noble‐metal‐free electrocatalysts, owing to their structural flexibility, well‐defined molecular architecture, high compatibility, and environmental sustainability. However, their suboptimal activity, primarily attributed to their low active site utilization and limited electron transfer ability, considerably impedes their implementation in real‐world electrocatalytic systems. Herein, the molecular dimensionality of a 2D‐COF containing tris‐triazine ring (2D‐Tr‐COF) is upgraded to generate its 3D counterpart (3D‐Tr‐COF), enabling a direct comparison between 2D‐ and 3D‐ COFs. These findings reveal that slightly altering the spatial structure in plane (from 2D to 3D) by substituting amine building blocks leads to significant variations in molecular architecture and performance for oxygen reduction reaction. The results indicate that 3D‐Tr‐COF with enlarged lattice spacing, more active species, and reduced conjugated degree, possesses enriched active sites. Moreover, the intensified intramolecular electron donor–acceptor interaction between the tris‐triazine ring and its neighboring imino linkage of 3D‐Tr‐COF optimizes the electronic/band structure and facilitates the charge transfer, resulting in enhanced intrinsic activity compared to 2D‐Tr‐COF. The extensively optimized 3D‐Tr‐COF demonstrates a half‐wave potential of 0.833 V, on par with the state‐of‐the‐art Pt/C. These findings offer valuable insights into dimension modulation strategies for COF‐based electrocatalyst designing. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Microgravity Effect on Pancreatic Islets.

Author

Zeger, Lukas, Barasa, Povilas, Han, Yilin, Hellgren, Josefin, Redwan, Itedale Namro, Reiche, Myrthe E., Florin, Gunnar, Christoffersson, Gustaf, and Kozlova, Elena N.

Subjects
NEURAL stem cells, THREE-dimensional printing, ROCKETS (Aeronautics), REDUCED gravity environments, MASERS, PANCREATIC beta cells, ISLANDS of Langerhans
Abstract

We previously demonstrated that boundary cap neural crest stem cells (BCs) induce the proliferation of beta-cells in vitro, increase survival of pancreatic islets (PIs) in vivo after transplantation, and themselves strongly increase their proliferation capacity after exposure to space conditions. Therefore, we asked if space conditions can induce the proliferation of beta-cells when PIs are alone or together with BCs in free-floating or 3D-printed form. During the MASER 15 sounding rocket experiment, half of the cells were exposed to 6 min of microgravity (µg), whereas another group of cells were kept in 1 g conditions in a centrifuge onboard. The proliferation marker EdU was added to the cells just before the rocket reached µg conditions. The morphological assessment revealed that PIs successfully survived and strongly proliferated, particularly in the free-floating condition, though the fusion of PIs hampered statistical analysis. Proliferation of beta-cells was displayed in 3D-printed islets two weeks after µg exposure, suggesting that the effects of µg may be delayed. Thus, PIs in 3D-printed scaffolds did not fuse, and this preparation is more suitable than free-floating specimens for morphological analysis in µg studies. PIs maintained their increased proliferation capacity for weeks after µg exposure, an effect that may not appear directly, but can emerge after a delay. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Effects of microgravity on neural crest stem cells

Author

Han, Yilin, primary, Barasa, Povilas, additional, Zeger, Lukas, additional, Salomonsson, Sara B., additional, Zanotti, Federica, additional, Egli, Marcel, additional, Zavan, Barbara, additional, Trentini, Martina, additional, Florin, Gunnar, additional, Vaerneus, Alf, additional, Aldskogius, Håkan, additional, Fredriksson, Robert, additional, and Kozlova, Elena N., additional

Published
2024
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39. PID2Net: A Neural Network for Joint Underwater Polarimetric Images Descattering and Denoising

Author

Liu, Hedong, Zhang, Wenjie, Han, Yilin, Li, Xiaobo, Liu, Tiegen, Zhai, Jingsheng, Mao, Yefei, Xiao, Lin, and Hu, Haofeng

Abstract

Underwater optical imaging is widely used in various marine exploration tasks. However, the scattering of light by suspended particles in water will result in poor contrast to underwater images. Underwater polarimetric imaging could effectively suppress the influence of scattered light. However, apart from scattering, the absorption and poor illumination will cause low signal to radio of images, and thus the influence of noise on image quality is also significant. Therefore, underwater images should jointly solve scattering and noise problems. In this article, we propose a deep learning-based image enhancement method, called polarimetric image descattering and denoising neural network (PID2Net), to suppress the negative impact of both scattering and noise on underwater image quality. In particular, our network is based on frequency decomposition, which aims to remove scattered light at low frequency and suppress noise at high frequency by applying residual dense network. Experimental results show that our method can well enhance underwater images obtained in dense scattering media and severe noise environments, with performance superior to previous methods.

Published
2024
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41. Deadline Constrained Cloud Resource Scheduling Cost Optimization Algorithm.

Author

HAN Yilin, FAN Guisheng, and YU Huiqun

Subjects
OPTIMIZATION algorithms, CLOUD computing, DEADLINES, ALGORITHMS, SCHEDULING
Abstract

As more and more workflow applications are deployed in the cloud, how to optimize resource scheduling cost while satisfying workflow deadline constraints is a popular research area. In this paper, we propose a cost optimization with deadline constraint (CODC) algorithm. Firstly, workflow tasks are merged to reduce the data transfer overhead between different instances. Secondly, paying attention to the impact of parent and subtasks on the priority of the current task, the case of unmet task sub-deadlines is considered to select the instance that completes task execution earliest. Finally, the experimental results are compared with the existing algorithms on five workflows. CODC algorithm has a lower workflow execution cost compared to other three comparison algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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