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Entropy engineering in CaZn_(2)Sb_(2)-YbMg_(2)Sb_(2)Zintl alloys for enhanced thermoelectric performance

Rare Metals 2022年第9期41卷 2998-3004页

作者： Ke-Jia Liu Zong-Wei Zhang Chen Chen Li-Hua Wei Huo-Lun He Jun Mao Qian Zhang School of Materials Science and Engineering and Institute of Materials Genome&Big DataHarbin Institute of TechnologyShenzhen518055China Department of Mechanical Engineering The University of Hong KongHong Kong999077China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin150001China

The significant atomic disorder induced by entropy engineering can effectively suppress lattice thermal conductivity and improve thermoelectric *** variety of compositions of Zintl phases offers a wide range of possibilities for entropy *** we successfully prepared a five-component solid solution(CaZn_(2)Sb_(2))_(0.5)(YbMg_(2)Sb_(2))_(0.5) with a configurational entropy of~1.40R,whereR is the gas *** a result,the room-temperature lattice thermal conductivity was only~0.68 W·m^(-1)·K^(-1),which is lower than that of all AM_(2)Sb_(2) Zintl phases.

关键词： alloys entropy performance

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Characterization and modeling studies towards Al_(3)Ti/Mg interfaces in Ti reinforced AZ31 alloys

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Journal of Materials Science & Technology 2023年第16期147卷 197-206页

作者： Longke Bao Shengli Han Shengkun Xi Yuhui Zhang Cuiping Wang Kaihong Zheng Rongpei Shi Xingjun Liu Fusheng Pan State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyShenzhen 518055China College of Materials Science and Engineering and Institute of Materials Genome and Big DataHarbin Institute of TechnologyShenzhen 518055China Institute of New Materials Guangdong Academy of SciencesGuangzhou 510650China College of Materials Science and Engineering Xiamen UniversityXiamen 361005China College of Materials Science and Engineering Chongqing UniversityChongqing 400045China

The interfaces between in-situ Al3Ti particles and magnesium(Mg)matrix are crucial role in highperformance titanium(Ti)reinforced AZ31 ***,the interfaces between Al3Ti particles and the Mg matrix are fabricated and investigated using advanced characterization tools and first-principles *** orientation relationship(OR)and atomic interface structure between the Al_(3)Ti particles and matrix are characterized using a high-resolution transmission electron *** OR is determined to be(1010)Mg//(001)Al3Ti;[1213]Mg//[100]*** on the characterized OR,the interface properties(including atomic structure,work of adhesion,interface energy,and fracture mechanism)are investigated using first-principles *** relaxed interface structure indicates that the TiAl-terminated bridge site configurations(MT1)and hollow site configurations(HCP1)are unstable and would convert into other bridge site configurations(MT).Furthermore,the work of adhesion and interface energy suggests that Al-terminated hollow site configurations(HCP)and bridge site configurations(MT)are more stable than other *** addition,the calculations of work of fracture show that fracture of the interfaces with Al-MT1,Al-HCP,and TiAl-MT configurations may initiate from bulk Mg *** findings may help to understand and tailor the deformation mechanisms and mechanical properties of Ti-reinforced Mg alloys.

关键词： Ti/AZ31 alloy Mg/Al_(3)Ti interface HAADF-STEM First-principles computation

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Advance of Thyroid Nodule Ultrasound Diagnosis Based on Deep Learning 29th

Advance of Thyroid Nodule Ultrasound Diagnosis Based on Deep...

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29th International Conference on Computational and Experimental engineering and Sciences, ICCES 2023

作者： Wan, Huiling Chen, Shuwen Ni, Yiyang Qi, Shaojia Qu, Hui School of Physics and Information Engineering Jiangsu Second Normal University Nanjing211200 China State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Nanjing211200 China

ISBN: (纸本)9783031449468

The incidence of thyroid nodules is increasing rapidly worldwide. In order to reduce the burden on doctors and improve the accuracy of diagnosis, ultrasound imaging plays an important role in the diagnosis and follow-up of thyroid nodules. In recent years, artificial intelligence (AI) technology based on machine learning and deep learning has improved significantly. With the help of medical imaging screening tools, physicians can make clinical decisions about thyroid nodules more efficiently and provide the best protection for patients as early as possible. This paper mainly discusses the research progress of computer vision and related algorithms in ultrasonic imaging of thyroid nodules in recent years from the aspects of image preprocessing, detection and segmentation of focal areas, feature extraction, and identification of benign/malignant nodules. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Diagnosis

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SeP2CNN: A Simple and Efficient Privacy-Preserving CNN for AIoT Applications

SeP2CNN: A Simple and Efficient Privacy-Preserving CNN for A...

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Artificial Intelligence of Things and Systems (AIoTSys), International Conference on

作者： Tao Xiao Zhenyong Zhang Kuan Shao Hao Li State Key Laboratory of Public Big Data School of Computer Science and Engineering Guizhou University Guiyang China

ISBN: (数字)9798331507886

ISBN: (纸本)9798331507893

As convolutional neural networks (CNNs) have shown excellent performance in various inference tasks, it has become increasingly critical to enable Artificial Intelligence of Things ( $A$ IoT) systems to run CNN-based applications. However, using CNN-based applications in many AIoT scenarios raises privacy concerns. Protecting the inference phase can preserve the user's privacy, which is an urgent issue according to worldwide rules and policies. In this paper, we propose SeP 2 CNN, a simple and efficient fully homomorphic encryption (FHE) method to realize the privacy-preserving CNN inference in pervasive AIoT applications. By carefully combining cryptography and deep learning, we compute ReLU with a composite polynomial as the activation function over ciphertexts. To improve the efficiency, we transform the three-dimensional convolution into a two-dimensional convolution to simplify the calculation. Finally, through extensive experiments on multiple datasets, we validate and evaluate the performance of SeP 2 CNN.

关键词： Adaptation models Privacy Convolution Transforms Polynomials Internet of Things Convolutional neural networks Cryptography Artificial intelligence Homomorphic encryption

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A Survey of COVID-19 Diagnosis Based on Deep Learning from X-ray Images and CT-Scan Images 29th

A Survey of COVID-19 Diagnosis Based on Deep Learning from X...

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29th International Conference on Computational and Experimental engineering and Sciences, ICCES 2023

作者： Wang, Jiaji Chen, Shuwen Zhu, Huisheng School of Physics and Information Engineering Jiangsu Second Normal University Nanjing211200 China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Nanjing211200 China State Key Laboratory of Millimeter Waves Southeast University Nanjing210096 China

ISBN: (纸本)9783031449468

The Coronavirus pandemic has been going on for three years. Undoubtedly, it caused huge damage to people, physically and mentally. The earlier the doctor diagnoses, the sooner the patient will recover In this paper, we review the more advanced applications of deep learning in COVID-19 diagnosis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： COVID-19

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Glacial Lake Area Changes in High Mountain Asia during 1990-2020 Using Satellite Remote Sensing

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Research 2023年第2期2022卷 1-23页

作者： Meimei Zhang Fang Chen Huadong Guo Lu Yi Jiangyuan Zeng Bin Li International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesNo.9 Dengzhuang South RoadBeijing 100094China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Coastal Environment and Resources Research of Zhejiang Province School of EngineeringWestlake UniversityHangzhou 310024China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of Sciences Beijing 100094China

Changes in a large-scale glacial lake area directly reflect the regional glacier status and climate ***,long time series of glacial lake dataset and comprehensive investigation of the spatiotemporal changes in the gla... 详细信息

关键词： glacial glacier lake

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Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots

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IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1452-1463页

作者： Mei Liu Xiaoyan Zhang Mingsheng Shang Long Jin School of Information Science and Engineering Lanzhou UniversityLanzhou 730000 State Key Laboratory of Tibetan Intelligent Information Processing and Application Xining 810016China Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Institute of Green and Intelligent TechnologyChinese Academy of SciencesChongqing 400714China Shenzhen Research Institute Lanzhou UniversityShenzhen 518063China

Aiming at the k-winners-take-all(kWTA)operation,this paper proposes a gradient-based differential kWTA(GDk WTA)*** obtaining the network,theorems and related proofs are provided to guarantee the exponential convergence and noise resistance of the proposed GD-kWTA ***,numerical simulations are conducted to substantiate the preferable performance of the proposed network as compared with the traditional ***,the GD-k WTA network,backed with a consensus filter,is utilized as a robust control scheme for modeling the competition behavior in the multi-robot coordination,thereby further demonstrating its effectiveness and feasibility.

关键词： Consensus filter k-winners-take-all(kWTA) multirobot coordination noise resistance

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An Efficient Blockchain-Based Certificateless Anonymous Authentication Scheme for VANETs

An Efficient Blockchain-Based Certificateless Anonymous Auth...

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2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Bi, Changbing Tian, Youliang Li, Ta Wu, Shihong Zhou, Hua Guizhou University State Key Laboratory of Public Big Data Guiyang550025 China College of Computer Science and Technology Guizhou University Guiyang550025 China Guizhou University Guizhou Province Key Laboratory of Cryptography and Block Chain Technology Guiyang550025 China Institute of Cryptography & Data Security Guizhou University Guiyang550025 China College of Big Data and Information Engineering Guizhou University Guiyang550025 China

ISBN: (纸本)9798350327380

Vehicle ad-hoc networks (VANETs) play a critical role in providing security and privacy protection for intelligent transportation systems. However, the limited network bandwidth and computing capacity within VANETs have resulted in existing authentication schemes having excessive computational overhead, which cannot meet the low-latency communication requirements of VANETs. To tackle these problems, we propose an efficient blockchain-based certificateless anonymous authentication scheme for VANETs. Firstly, we propose a novel signature scheme without bilinear pairing to reduce the computational overhead in VANETs. Secondly, we utilize blockchain to facilitate trusted information sharing. Thirdly, we provide privacy-preserving through the use of anonymous keys, and enable tracing of vehicle identities in the event of malicious behavior. Finally, security analysis and simulation experiments demonstrate that our proposed scheme has lower communication and computational overhead, while satisfying various security requirements for VANETs, such as anonymity, unlinkability, and traceability. © 2023 IEEE.

关键词： Authentication

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Multi-Quadrotor Cooperative Encirclement and Capture Approach in Obstacle Environments

Multi-Quadrotor Cooperative Encirclement and Capture Approac...

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2025 IEEE International Conference on Mechatronics, ICM 2025

作者： Li, Zhenyu Wu, Ruixin Wang, Jin Hu, Chuanqi Zheng, Zhi Meng, Jun Lu, Guodong Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310058 China Zhejiang University Zhejiang Key Laboratory of Industrial Big Data and Robot Intelligent Systems Hangzhou310058 China Robotics Research Center of Yuyao City Ningbo315400 China College of Electrical Engineering Zhejiang University Hangzhou310027 China Center for Data Mining and Systems Biology College of Electrical Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9798331533892

This article proposes an algorithm designed for autonomous quadrotors to capture target quadrotors in complex obstacle environments, enabling multiple pursuers to perform distributed capture while simultaneously avoiding obstacles and collisions. We first introduce a 3D obstacle space representation method based on safety-priority reachable region (SPRR) and implement real-time construction for general point cloud maps. Subsequently, leveraging SPRR, we employ an area minimization approach to ensure the effective capture of the evader within a limited time. The outcomes are then integrated into a MINCO-based trajectory planning framework to ensure their practical execution by real quadrotors. Relying on SPRR, the optimization problem is simplified and the solution efficiency is improved. In the scenario of simulating the dynamics of real quadrotors, we compare the proposed algorithm with state-of-the-art evasion and pursuit methods, validating its effectiveness and advancements. This work presents a practical solution for multi-quadrotor collaborative capture. © 2025 IEEE.

关键词： Motion planning

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Meta-Fluid Antenna for Multiplexing Multiple Users in Rich Scattering Environments 10

Meta-Fluid Antenna for Multiplexing Multiple Users in Rich S...

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10th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2024

作者： Huang, Jiewei Meng, Huan Ning, Lei Liu, Baiyang Wong, Kai-Kit Tong, Kin-Fai Wong, Hang College of Big Data and Internet Shenzhen Technology University Shenzhen China University College London Department of Electronic and Electrical Engineering London United Kingdom City University of Hong Kong State Key Laboratory of Terahertz and Millimeter Waves Hong Kong

ISBN: (纸本)9798331533922

With the rapid development of wireless communication technologies, supporting a massive number of user devices has become a significant challenge. Traditional multiple-input multiple-output (MIMO) technology requires sophisticated signal processing techniques to support a large number of terminal devices in a rich scattering environment. To address this problem, this paper proposes a full-wave simulation model of a meta-fluid antenna that enables multiple devices to access the channel simultaneously, with Rayleigh fading mimicked by artificial rich-scattering generators. This multiple access scheme is referred to as fluid antenna multiple access (FAMA). The FAMA technology enhances system multiplexing efficiency and network performance by allowing user devices to dynamically select optimal receiving positions, thereby maximizing the signal-to-interference ratio (SIR). The proposed method aims to simplify signal processing complexities for terminal devices and eliminate the need for channel state information (CSI) from base stations, thus achieving a larger number of connections and higher data rates by leveraging scattering with low system complexity. © 2024 IEEE.

关键词： Rayleigh fading

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