检索结果-内蒙古大学图书馆

Addendum: Solution epitaxy of polarization-gradient ferroelectric oxide films with colossal photovoltaic current

Nature communications 2024年第1期15卷 3878-3878页

作者： Lin, Chen Zhang, Zijun Dai, Zhenbang Wu, Mengjiao Liu, Shi Chen, Jialu Hua, Chenqiang Lu, Yunhao Zhang, Fei Lou, Hongbo Dong, Hongliang Zeng, Qiaoshi Ma, Jing Pi, Xiaodong Zhou, Dikui Wu, Yongjun Tian, He Rappe, Andrew M. Ren, Zhaohui Han, Gaorong State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and Engineering Zhejiang University Hangzhou 310027 China Center of Electron Microscope School of Materials Science and Engineering Zhejiang University Hangzhou 310027 China Department of Chemistry University of Pennsylvania Philadelphia PA United States Oden Institute for Computational Engineering and Sciences University of Texas at Austin Austin 78712 TX United States Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University Hangzhou 310024 China Zhejiang Province Key Laboratory of Quantum Technology and Device Department of physics Zhejiang University Hangzhou 310027 China Center for High Pressure Science and Technology Advanced Research 201203 Shanghai China State Key Lab of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University 100091 Beijing China Institute of Advanced Semiconductors & Zhejiang Provincial Key Laboratory of Power Semiconductor Materials and Devices ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou 311215 China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou 311100 China State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and Engineering Zhejiang University Hangzhou 310027 China

来源：评论

学校读者我要写书评

暂无评论

A Wideband Millimeter Wave E-shape Antenna in Package with Embedded Wafer Level Ball Grid Array Technology

A Wideband Millimeter Wave E-shape Antenna in Package with E...

引用

International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Bin Lu Haoran Zhu Zongming Duan Yuefei Dai Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhu University Hefei China Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China Anhui Province Engineer Laboratory for Antennas and Microwave The 38th Research Institute of China Electronic Technology Group Corporationy Hefei China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

The feasibility of an antenna-in-package (AiP) concept is demonstrated for automotive radar sensors at the 77 GHz-band. Infineon's embedded wafer level ball grid array (eWLB) is employed as packaging technology. We developed a E-shape patch antenna in 6×6 mm 2 eWLB package that include 2×2 mm 2 dummy Si chips. From the simulated results of the proposed E-plane patch antenna, provides a wide bandwidth of 19.2% (|S 11 |

关键词： Patch antennas Radar antennas Sensors Broadband antennas Wideband Antenna arrays Electronics packaging

来源：评论

学校读者我要写书评

暂无评论

Does Thermal Really Always Matter for RGB-T Salient Object Detection?

arXiv

引用

arXiv 2022年

作者： Cong, Runmin Zhang, Kepu Zhang, Chen Zheng, Feng Zhao, Yao Huang, Qingming Kwong, Sam The Institute of Information Science Beijing Jiaotong University Beijing100044 China The Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China The Department of Computer Science City University of Hong Kong China The Department of Computer Science and Technology Southern University of Science and Technology Shenzhen518055 China The Research Institute of Trustworthy Autonomous Systems Shenzhen518055 China The School of Computer Science and Technology University of Chinese Academy of Sciences Beijing101408 China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Peng Cheng Laboratory Shenzhen518055 China The City University of Hong Kong Shenzhen Research Institute Shenzhen51800 China

In recent years, RGB-T salient object detection (SOD) has attracted continuous attention, which makes it possible to identify salient objects in environments such as low light by introducing thermal image. However, most of the existing RGBT SOD models focus on how to perform cross-modality feature fusion, ignoring whether thermal image is really always matter in SOD task. Starting from the definition and nature of this task, this paper rethinks the connotation of thermal modality, and proposes a network named TNet to solve the RGB-T SOD task. In this paper, we introduce a global illumination estimation module to predict the global illuminance score of the image, so as to regulate the role played by the two modalities. In addition, considering the role of thermal modality, we set up different cross-modality interaction mechanisms in the encoding phase and the decoding phase. On the one hand, we introduce a semantic constraint provider to enrich the semantics of thermal images in the encoding phase, which makes thermal modality more suitable for the SOD task. On the other hand, we introduce a two-stage localization and complementation module in the decoding phase to transfer object localization cue and internal integrity cue in thermal features to the RGB modality. Extensive experiments on three datasets show that the proposed TNet achieves competitive performance compared with 20 state-of-the-art methods. The code and results can be found from the link of https://***/proj_***. © 2022, CC BY-NC-SA.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

ISIA food-500: A dataset for large-scale food recognition via stacked global-local attention network

arXiv

引用

arXiv 2020年

作者： Min, Weiqing Liu, Linhu Wang, Zhiling Luo, Zhengdong Wei, Xiaoming Wei, Xiaolin Jiang, Shuqiang Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China Meituan-Dianping Group China

Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A large-scale ontology of food images is urgently needed for developing advanced large-scale food recognition algorithms, as well as for providing the benchmark dataset for such algorithms. To encourage further progress in food recognition, we introduce the dataset ISIA Food-500 with 500 categories from the list in the Wikipedia and 399,726 images, a more comprehensive food dataset that surpasses existing popular benchmark datasets by category coverage and data volume. Furthermore, we propose a stacked global-local attention network, which consists of two sub-networks for food recognition. One sub-network first utilizes hybrid spatial-channel attention to extract more discriminative features, and then aggregates these multi-scale discriminative features from multiple layers into global-level representation (e.g., texture and shape information about food). The other one generates attentional regions (e.g., ingredient relevant regions) from different regions via cascaded spatial transformers, and further aggregates these multi-scale regional features from different layers into local-level representation. These two types of features are finally fused as comprehensive representation for food recognition. Extensive experiments on ISIA Food-500 and other two popular benchmark datasets demonstrate the effectiveness of our proposed method, and thus can be considered as one strong baseline. The dataset, code and models can be found at http://123.57.42.89/Foodcomputing-Dataset/***. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Sum Rate Maximization under AoI Constraints for RIS-Assisted mmWave Communications

arXiv

引用

arXiv 2023年

作者： Guo, Ziqi Niu, Yong Mao, Shiwen Zhang, Changming Wang, Ning Zhong, Zhangdui Ai, Bo The State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing100044 China The Collaborative Innovation Center of Railway Traffic Safety Beijing Jiaotong University Beijing100044 China The Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States The Research Institute of Intelligent Networks Zhejiang Lab Hangzhou311121 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China The Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China

The concept of age of information (AoI) has been proposed to quantify information freshness, which is crucial for time-sensitive applications. However, in millimeter wave (mmWave) communication systems, the link blockage caused by obstacles and the severe path loss greatly impair the freshness of information received by the user equipments (UEs). In this paper, we focus on reconfigurable intelligent surface (RIS)-assisted mmWave communications, where beamforming is performed at transceivers to provide directional beam gain and a RIS is deployed to combat link blockage. We aim to maximize the system sum rate while satisfying the information freshness requirements of UEs by jointly optimizing the beamforming at transceivers, the discrete RIS reflection coefficients, and the UE scheduling strategy. To facilitate a practical solution, we decompose the problem into two subproblems. For the first per-UE data rate maximization problem, we further decompose it into a beamforming optimization subproblem and a RIS reflection coefficient optimization subproblem. Considering the difficulty of channel estimation, we utilize the hierarchical search method for the former and the local search method for the latter, and then adopt the block coordinate descent (BCD) method to alternately solve them. For the second scheduling strategy design problem, a low-complexity heuristic scheduling algorithm is designed. Simulation results show that the proposed algorithm can effectively improve the system sum rate while satisfying the information freshness requirements of all UEs. Copyright © 2023, The Authors. All rights reserved.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

PBRnet: Pyramidal bounding box refinement to improve object localization accuracy

arXiv

引用

arXiv 2020年

作者： Xiao, Li Luo, Yufan Luo, Chunlong Zhao, Lianhe Fu, Quanshui Yang, Guoqing Huang, Anpeng Zhao, Yi Key Laboratory of Intelligent Information Processing Advanced Computer Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Beijing China Department of Radiology Suining Central Hospital Peking University

Many recently developed object detectors focused on coarse-to-fine framework which contains several stages that classify and regress proposals from coarse-grain to fine-grain, and obtains more accurate detection gradually. Multi-resolution models such as Feature Pyramid Network(FPN) integrate information of different levels of resolution and effectively improve the performance. Previous researches also have revealed that localization can be further improved by: 1) using fine-grained information which is more translational variant;2) refining local areas which is more focused on local boundary information. Based on these principles, we designed a novel boundary refinement architecture to improve localization accuracy by combining coarse-to-fine framework with feature pyramid structure, named as Pyramidal Bounding Box Refinement network(PBRnet), which parameterizes gradually focused boundary areas of objects and leverages lower-level feature maps to extract finer local information when refining the predicted bounding boxes. Extensive experiments are performed on the MS-COCO dataset. The PBRnet brings a significant performance gains by roughly 3 point of mAP when added to FPN or Libra R-CNN. Moreover, by treating Cascade R-CNN as a coarse-to-fine detector and replacing its localization branch by the regressor of PBRnet, it leads an extra performance improvement by 1.5 mAP, yielding a total performance boosting by as high as 5 point of mAP. Code will be made available. Copyright © 2020, The Authors. All rights reserved.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Major strategies for improving the performance of perovskite solar cells

引用

iEnergy 2023年第3期2卷 172-199页

作者： Lixiu Zhang Hang Li Kai Zhang Wenzhe Li Chuantian Zuo George Omololu Odunmbaku Jingde Chen Cong Chen Luozheng Zhang Ru Li Yuping Gao Baomin Xu Jiangzhao Chen Yongsheng Liu Yang Wang Yanlin Song Jianxin Tang Feng Gao Qing Zhao Yong Peng Mingzhen Liu Lei Tao Yuelong Li Zhimin Fang Ming Cheng Kuan Sun Dewei Zhao Yixin Zhao Shihe Yang Chenyi Yi Liming Ding Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190China State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Shenzhen Graduate School Peking UniversityShenzhen 518055China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China College of Materials Science and Engineering&Engineering Research Center of Alternative Energy Materials&Devices Sichuan UniversityChengdu 610065China School of Energy&Power Engineer-ing Chongqing UniversityChongqing 400044China Institute for Energy Research Jiangsu UniversityZhenjiang 212013China Institute of New Energy Technology Department of Electronic EngineeringCollege of Information Science and TechnologyJinan UniversityGuangzhou 510631China Institute of Functional Nano&Soft Materials(FUNSOM) Soochow UniversitySuzhou 215123China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China College of Optoelectronic Engineering Chongqing UniversityChongqing 400044China College of Chemistry Nankai UniversityTianjin 300071China Institute of Chemistry Chinese Academy of SciencesBeijing 100190China State Key Lab for Mesoscopic Physics and Frontiers Science Center for Nano-optoelec-tronics School of PhysicsPeking UniversityBeijing 100871China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Photoelectronic Thin Film Devices and Technology Nankai UniversityTianjin 300350China School of Materials Science and Engineering Shaanxi Normal UniversityXi’an 710119China

Metal halide perovskite solar cell(PSC)has successfully distinguished itself in optoelectronic field by virtue of the sharp rise in power conversion efficiency over the past *** remarkable efficiency breakthrough at such a fast speed can be mainly attributed to the comprehensive study on film deposition techniques,especially the effective management of surface and interfacial defects in recent ***,we summarized the current trends in performance enhancement for PSCs,with a focus on the generally applicable strategies in high-performance works,involving deposition methods,compositional engineering,additive engineering,crystallization manipulation,charge transport material selection,interfacial passivation,optical coupling effect and constructing tandem solar *** directions and perspectives are also provided.

关键词： Perovskite solar cells efficiency improvement strategies milestones

来源：评论

学校读者我要写书评

暂无评论

Global-and-Local Collaborative Learning for Co-Salient Object Detection

arXiv

引用

arXiv 2022年

作者： Cong, Runmin Yang, Ning Li, Chongyi Fu, Huazhu Zhao, Yao Huang, Qingming Kwong, Sam The Institute of Information Science Beijing Jiaotong University Beijing100044 China The Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China The Department of Computer Science City University of Hong Kong Hong Kong The School of Computer Science and Engineering Nanyang Technological University Singapore A*STAR Singapore The School of Computer Science and Technology University of Chinese Academy of Sciences Beijing101408 China University of Chinese Academy of Sciences Beijing101408 China The Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Peng Cheng Laboratory Shenzhen518055 China The City University of Hong Kong Shenzhen Research Institute Shenzhen51800 China

The goal of co-salient object detection (CoSOD) is to discover salient objects that commonly appear in a query group containing two or more relevant images. Therefore, how to effectively extract inter-image correspondence is crucial for the CoSOD task. In this paper, we propose a global-and-local collaborative learning architecture, which includes a global correspondence modeling (GCM) and a local correspondence modeling (LCM) to capture comprehensive inter-image corresponding relationship among different images from the global and local perspectives. Firstly, we treat different images as different time slices and use 3D convolution to integrate all intra features intuitively, which can more fully extract the global group semantics. Secondly, we design a pairwise correlation transformation (PCT) to explore similarity correspondence between pairwise images and combine the multiple local pairwise correspondences to generate the local inter-image relationship. Thirdly, the inter-image relationships of the GCM and LCM are integrated through a global-and-local correspondence aggregation (GLA) module to explore more comprehensive inter-image collaboration cues. Finally, the intra- and inter-features are adaptively integrated by an intra-and-inter weighting fusion (AEWF) module to learn co-saliency features and predict the co-saliency map. The proposed GLNet is evaluated on three prevailing CoSOD benchmark datasets, demonstrating that our model trained on a small dataset (about 3k images) still outperforms eleven state-of-the-art competitors trained on some large datasets (about 8k̴200k images). © 2022, CC BY-NC-SA.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Insights on the Dependence of the Magneto-Mechanical Therapeutic Performance and Induced Cell Death Pathways on the Geometry of Functional Magnetic Nanocomposites

SSRN

引用

SSRN 2022年

作者： Yao, Chenyang Yang, Fang Zhang, Jiaji Yao, Junlie Cao, Yi Peng, Hao Stanciu, Stefan G. Charitidis, Costas A. Wu, Aiguo Key Laboratory of Magnetic Materials and Devices Zhejiang Engineering Research Center for Biomedical Materials Ningbo Institute of Materials Technology and Engineering Ningbo315201 China University of Chinese Academy of Sciences Beijing100049 China Advanced Energy Science and Technology Guangdong Laboratory Huizhou516000 China Center for Microscopy-Microanalysis and Information Processing University Politehnica of Bucharest Bucharest060042 Romania RNANO Lab—Research Unit of Advanced Composite Nano Materials & Nanotechnology School of Chemical Engineering National Technical University of Athens AthensGR15773 Greece

Recent years have witnessed important developments in the emerging field of magneto-mechanical therapies. While such approaches have been demonstrated as a highly efficient route to augment, complement, or entirely replace other therapeutic strategies, important aspects are still poorly understood. Among these, the cell death pathway in the magnetic nanoparticle motion-mediated magneto-mechanical therapy under a low-frequency rotating magnetic field (RMF) remains a puzzling question. To provide insights into this important problem, we evaluate the cell death pathway for a series of magnetic nanocomposites with different geometry, which are Zn0.2Fe2.8O4-PLGA magnetic nanospheres (MNSs) and Zn0.2Fe2.8O4-PLGA magnetic nanochains (MNCs). We demonstrate that under exposure to a rotating magnetic field, the MNSs and the MNCs exhibit a corkscrewed circular propulsion mode and a steering propulsion mode, respectively. This distinct behavior, with important implications for the associated magneto-mechanical forces exerted by these nanomaterials on surrounding structures (e.g., the cellular membrane), is related to their specific geometrical characteristics. According to the numerical simulation and cell viability experiments, the field strength of RMF and the critical rotating speed of MNSs or MNCs are strongly correlated to their magneto-mechanical therapy performance. Furthermore, our experiments reveal that the magneto-mechanical effects of MNSs are more prone to induce cell apoptosis, whereas those of the MNCs favor instead cell necrosis. Overall, this work enhances the current understanding on the dependences existing between the performance of magneto-mechanically therapies, induced cell death pathways, and the geometries of magnetic nanomaterials used in this purpose, paving the way for novel functionalization routes which could enable significantly enhanced cures and biomedical tools. © 2022, The Authors. All rights reserved.

关键词： Magnetos

来源：评论

学校读者我要写书评

暂无评论

The rise of intelligent fabric agent from mass-produced advanced fiber materials

引用

Science Bulletin 2024年第23期69卷 3644-3647页

作者： Pan Li Maiping Yang Yueheng Liu Jing Zhang Sisi He Cuiwei Yang Weizhong Yang Xinyuan Cai Liping Zhu Shenglin Ye Hongyu Sun Chong Hou Ning Zhou Meifang Zhu Guangming Tao Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China School of Mechanical Engineering and Electronic Information China University of Geosciences(Wuhan)Wuhan 430074China Shenzhen Key Laboratory of Flexible Printed Electronics Technology School of ScienceHarbin Institute of TechnologyShenzhen 518055China Department of Biomedical Engineering School of Information Science and TechnologyFudan UniversityShanghai 200433China Shanghai Different Advanced Material Co. Ltd.Shanghai 201502China School of Architecture and Urban Planning Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China Meta Reality Lab Meta PlatformsInc.SunnyvaleCA 94089USA School of Nursing Peking UniversityBeijing 100191China School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Department of Cardiology Beijing Anzhen HospitalCapital Medical UniversityNational Clinical Research Center for Cardiovascular DiseasesBeijing 100029China Key Laboratory of Vascular Aging Ministry of EducationTongji Hospital Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China School of Physical Education Huazhong University of Science and TechnologyWuhan 430074China

Artificial intelligence(AI)is crucial in driving scientific,technological,and industrial advancements,and it has given rise to an ambient intelligence that can potentially improve the physical execution of healthcare delivery[1,2].Among diverse advanced AI technologies,an intelligent agent with multi-parameter perception,decision-making,and execution capabilities demonstrates the potential for facilitating the development of next-generation optoelectronic *** intelligent agent is a physical or abstract entity that acts autonomously,perceives and interacts with its environment,and communicates with other agents[3].It could perceive dynamic environmental conditions,execute actions,and make appropriate *** emerges as an ideal carrier for human-centered intelligent agents,providing various properties such as perceptibility,adaptability,and *** fabric,known for its unique functionality,has attracted considerable attention from academia and *** 2014,Germany proposed a national strategy called FutureTEX to upgrade the entire textile industry by promoting integration between textiles and other *** years later,the United States announced the establishment of the Revolutionary Fibers and Textiles Manufacturing Innovation Institute,which intends to accelerate the revival of fabric *** with conventional fibers,revolutionary fibers focus on the design of multiple materials and structures,enabling the integration of various functionalities into a single *** in the United States,the advent of the digital revolution,advancements in Internet of Things technology,and mature fiber technology significantly boost the development of the intelligent fiber *** commercial applications of intelligent fibers are gradually *** Jacquard,a collaborative effort by Google and Levi’s,presents an intelligent jacket that combines the washability and texture of standard fabrics with the

关键词： agent execution fiber

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：