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7th International Conference on computer Network, Electronic and Automation, ICCNEA 2024

作者： Yang, Panpan Hui, Yan Hu, xiuhua Li, Wang School of Computer Science and Engineering Xi’an Technological University Shaanxi Xi’an China

Instance objects captured in aerial imagery display a range of orientations and exhibit significant scaling differences in their dimensions. Recent researches mainly address the above problems in terms of label assignment strategies and extended backbone spatial receptive fields, however, the former may still introduce lower quality samples, while the latter usually introduces considerable background noise. In this paper, the proposed Multiscale Convolutional Kernels Combined with Bi-Level Routing Attention for backbone Feature Extraction Network (MKBANet) employs multi-scale convolutional kernels to extract feature information at different scales, capture local context information, and combine with a Bi-Level Routing Attention (BRA) to capture remote context information and reduce computational complexity. In addition, an adaptive constrained oriented point set strategy (ACOPSS) is proposed. The adaptive point set constraint strategy is introduced in training, and then the quality metric function is utilized to select the top k high-quality directed point set samples in training, and finally the outliers are penalized. 81.23% mAP on DOTA dataset, the efficacy of the introduced approach is demonstrated. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Convolution

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Strain transfer behavior and crystallographic mechanism of crack initiation during cyclic deformation in zirconium

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Journal of Materials science & technology 2023年第31期162卷 234-246页

作者： xiangkang Zeng Conghui Zhang Wenguang Zhu Mingliang Zhu Tongguang Zhai Chi Ma Tingchuang Shu KangKai Song School of Metallurgical Engineering Xi’an University of Architecture and TechnologyXi’an 710055China Key Laboratory of Pressure Systems and Safety Ministry of EducationSchool of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237China School of Materials Science and Engineering Shandong Jianzhu UniversityJinan 250101China

Fully-reversed cyclic deformation of a pure Zr(a thickness of 17 mm)was conducted at two different strain amplitudes(0.4%and 0.8%)to investigate the deformation and crack initiation behaviors based on slip trace *** was found that prismaticaslip with a higher Schmid Factor(m>0.4)was the dominant deformation *** grains containing persistent slip bands(PSBs)tended to go towards[1210]pole and the Schmid Factor had a critical value of 0.4 above which prismatic and pyramidal slip were *** cracks were mainly initiated at PSBs and grain boundaries(GBs).It showed that 61.1%of the cracks were PSB cracks under a strain amplitude of 0.4%,while it decreased to 53.5%at a strain amplitude of 0.8%.PSB cracks were mainly parallel to prismaticaslip with higher Schmid Factor while some cracks tended to be initiated at GBs with higher misorientation *** interaction of PSBs with GBs would result in strain transferring to the neighboring *** transfer was more likely to occur at the condition of the higher geometrical compatibility factor m,and lower residual Burgers vectorb,which could reduce strain localization.

关键词： Fatigue crack initiation Crystallographic orientation PSBs GBs Strain transfer

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Small but mighty:Empowering sodium/potassium-ion battery performance with S-doped SnO_(2) quantum dots embedded in N,S codoped carbon fiber network

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Carbon Energy 2024年第5期6卷 186-200页

作者： Shengnan He Hui Wu Shuang Li Ke Liu Yaxiong Yang Hongge Pan Xuebin Yu Institute of Science and Technology for New Energy Xi'an Technological UniversityXi'anChina Department of Materials Science Fudan UniversityShanghaiChina Wanxiang A123 Systems Corporation HangzhouChina School of Material Science and Engineering Shanghai UniversityShanghaiChina

SnO_(2) has been extensively investigated as an anode material for sodium-ion batteries(SIBs)and potassium-ion batteries(PIBs)due to its high Na/K storage capacity,high abundance,and low ***,the sluggish reaction kinetics,low electronic conductivity,and large volume changes during charge and discharge hinder the practical applications of SnO_(2)-based electrodes for SIBs and *** rational structures with fast charge/ion transfer and robust stability is important to overcoming these ***,S-doped SnO_(2)(S-SnO_(2))quantum dots(QDs)(≈3 nm)encapsulated in an N,S codoped carbon fiber networks(S-SnO_(2)-CFN)are rationally fabricated using a sequential freeze-drying,calcination,and S-doping *** analysis and density functional theory calculations reveal that the integration of S-SnO_(2) QDs with N,S codoped carbon fiber network remarkably decreases the adsorption energies of Na/K atoms in the interlayer of SnO_(2)-CFN,and the S doping can increase the conductivity of SnO_(2),thereby enhancing the ion transfer *** synergistic interaction between S-SnO_(2) QDs and N,S codoped carbon fiber network results in a composite with fast Na+/K+storage and extraordinary long-term ***,the S-SnO_(2)-CFN delivers high rate capacities of 141.0 mAh g^(−1) at 20 A g^(−1) in SIBs and 102.8 mAh g^(−1) at 10 A g^(−1) in ***,it delivers ultra-stable sodium storage up to 10,000 cycles at 5 A g^(−1) and potassium storage up to 5000 cycles at 2 A g^(−1).This study provides insights into constructing metal oxide-based carbon fiber network structures for high-performance electrochemical energy storage and conversion devices.

关键词： carbon fiber network heteroatom doping potassium-ion battery sodium-ion battery S-SnO_(2)quantum dot

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Atomic-scale insights of indium segregation and its suppression by GaAs insertion layer in InGaAs/AlGaAs multiple quantum wells

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Chinese Physics B 2023年第3期32卷 544-548页

作者：马淑芳李磊孔庆波徐阳刘青明张帅张西数韩斌仇伯仓许并社郝晓东 Materials Institute of Atomic and Molecular Science Shaanxi University of Science and TechnologyXi'an 710021China School of Materials Science and Engineering Shaanxi University of Science and TechnologyXi'an 710021China Key Laboratory of Interface Science and Engineering in Advanced Materials Taiyuan University of TechnologyTaiyuan 030024China

The In segregation and its suppression in InGaAs/AlGaAs quantum well are investigated by using high-resolution x-ray diffraction(XRD)and photoluminescence(PL),combined with the state-of-the-art aberration corrected scanning transmission electron microscopy(Cs-STEM)*** facility our study,we grow two multiple quantum wells(MQWs)samples,which are almost identical except that in sample B a thin GaAs layer is inserted in each of the InGaAs well and AlGaAs barrier layer comparing to pristine InGaAs/AlGaAs MQWs(sample A).Our study indeed shows the direct evidences that In segregation occurs in the InGaAs/AlGaAs interface,and the effect of the Ga As insertion layer on suppressing the segregation of In atoms is also demonstrated on the ***,the atomic-scale insights are provided to understand the segregation behavior of In atoms and to unravel the underlying mechanism of the effect of GaAs insertion layer on the improvement of crystallinity,interface roughness,and further an enhanced optical performance of InGaAs/AlGaAs QWs.

关键词： InGaAs/AlGaAs quantum well GaAs insertion layer In segregation scanning transmission electron microscopy

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A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

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computers, Materials & Continua 2023年第5期75卷 2741-2757页

作者： Muhammad Usman Sana Zhanli Li Tayybah Kiren Hannan Bin Liaqat Shahid Naseem Atif Saeed College of Computer Science and Technology Xi’an University of Science and TechnologyXi’anShaanxi710054China Department of Computer Science(RCET Campus) University of Engineering and TechnologyLahore39161Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54700Pakistan Department of Computer Science COMSATS UniversityIslamabadLahore54700Pakistan

Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being *** cloud computation,data processing,storage,and transmission can be done through laptops andmobile *** Storing in cloud facilities is expanding each day and data is the most significant asset of *** important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s *** have to be dependent on cloud service providers for assurance of the platform’s *** security and privacy issues reduce the progression of cloud computing and add ***;most of the data that is stored on cloud servers is in the form of images and photographs,which is a very confidential form of data that requires secured *** this research work,a public key cryptosystem is being implemented to store,retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman(RSA)algorithm for the encryption and decryption of *** implementation of a modified RSA algorithm results guaranteed the security of data in the cloud *** enhance the user data security level,a neural network is used for user authentication and ***;the proposed technique develops the performance of detection as a loss function of the bounding *** Faster Region-Based Convolutional Neural Network(Faster R-CNN)gets trained on images to identify authorized users with an accuracy of 99.9%on training.

关键词： Cloud computing data security RSA algorithm Faster R-CNN

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A Review on Smart Healthcare employing Quantum Internet of Things

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IEEE engineering Management Review 2024年 1-9页

作者： Sutradhar, Kartick Venkatesh, Ranjitha Venkatesh, Priyanka Department of Computer Science and Engineering Indian Institute of Information Technology Sri City India Department of Computer Science and Engineering GITAM School of Technology Bengaluru India Department of Computer Science and Engineering Presidency University Bengaluru India

The Quantum Internet of Things (QIoT) in the healthcare industry holds the promise of transforming patient care, diagnostics, and medical research. Quantum-enhanced sensors, communication, and computation offer unprecedented capabilities that can revolutionize how healthcare services are delivered and experienced. This paper explores the potential of QIoT in the context of smart healthcare, where interconnected quantum-enabled devices and systems create an ecosystem that enhances data security, enables real-time monitoring, and advances medical knowledge. We delve into the applications of quantum sensors in precise health monitoring, the role of quantum communication in secure telemedicine, and the computational power of quantum computing in drug discovery and personalized medicine. We discuss challenges such as technical feasibility, scalability, and regulatory considerations, along with the emerging trends and opportunities in this transformative field. By examining the intersection of quantum technologies and smart healthcare, this paper aims to shed light on the novel approaches and breakthroughs that could redefine the future of healthcare delivery and patient outcomes. IEEE

关键词： Internet of things

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Adaptive Style Normalization and Similarity Grouping for Unsupervised Cross-Domain Person Re-Identification 7

Adaptive Style Normalization and Similarity Grouping for Uns...

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7th International Conference on computer Network, Electronic and Automation, ICCNEA 2024

作者： Wang, Mingxuan Hui, Yan Hu, xiuhua Yang, Ruiying School of Computer Science and Engineering Xi'an Technological University Shanxi Xi'an China

In unsupervised cross-domain person re-identification, feature extraction often includes identity-irrelevant information, reducing model generalization. Additionally, ignoring potential similarities within the target domain leads to noisy pseudo-labels. To address these issues, this paper introduces a method for cross-domain person re-identification that combines adaptive style normalization with similarity grouping. First, adaptive style normalization is applied on the backbone network to mitigate loss of information caused by instance normalization, thus improving the generalization ability and identity recognition accuracy of the model. Second, similarity grouping is employed to uncover potential similarities in target domain, overcoming the problem of loud pseudo-labels and further improve model performance. Using this method, mAP accuracy increased by 2.27% on the Market-1501 dataset and by 4.26% on the DukeMTMC-ReID dataset, enhancing its application in the real world. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Feature extraction

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An adaptive multitasking optimization algorithm based on population distribution

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Mathematical Biosciences and engineering 2024年第2期21卷 2432-2457页

作者： Li, xiaoyu Wang, Lei Jiang, Qiaoyong Xu, Qingzheng School of Computer Science and Engineering Xi'an University of Technology Xi'an710048 China School of Electronic and Information Engineering Ankang University Ankang725000 China The Key Laboratory of Industrial Automation of Shaanxi Province Shaanxi University of Technology Hanzhong723001 China College of Information and Communication National University of Defense Technology Wuhan430019 China

Evolutionary multitasking optimization (EMTO) handles multiple tasks simultaneously by transferring and sharing valuable knowledge from other relevant tasks. How to effectively identify transferred knowledge and reduce negative knowledge transfer are two key issues in EMTO. Many existing EMTO algorithms treat the elite solutions in tasks as transferred knowledge between tasks. However, these algorithms may not be effective enough when the global optimums of the tasks are far apart. In this paper, we study an adaptive evolutionary multitasking optimization algorithm based on population distribution information to find valuable transferred knowledge and weaken the negative transfer between tasks. In this paper, we first divide each task population into K sub-populations based on the fitness values of the individuals, and then the maximum mean discrepancy (MMD) is utilized to calculate the distribution difference between each sub-population in the source task and the subpopulation where the best solution of the target task is located. Among the sub-populations of the source task, the sub-population with the smallest MMD value is selected, and the individuals in it are used as transferred individuals. In this way, the solution chosen for the transfer may be an elite solution or some other solution. In addition, an improved randomized interaction probability is also included in the proposed algorithm to adjust the intensity of inter-task interactions. The experimental results on two multitasking test suites demonstrate that the proposed algorithm achieves high solution accuracy and fast convergence for most problems, especially for problems with low relevance. © 2024 the Author(s).

关键词： Optimization

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Miniaturized silicon-based capacitive six-axis force/torque sensor with large range, high sensitivity, and low crosstalk

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Microsystems & Nanoengineering 2024年第6期10卷 133-149页

作者： Renjie Tan Yong xia xiangguang Han Linya Huang Wendi Gao Chen Jia Ping Yang Qijing Lin Shujiang Ding Chenying Wang Libo Zhao State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemXi’an Jiaotong University710049 Xi’anChina School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Instrument Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Electronic Materials Research Laboratory Key Laboratory of the Ministry of EducationSchool of Electronic Science and EngineeringXi’an Jiaotong University710049 Xi’anChina Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China Engineering Research Center of Energy Storage Materials and Devices of Ministry of Education National Innovation Platform(Center)for Industry-Education Integration of Energy Storage TechnologySchool of ChemistryXi’an Jiaotong UniversityXi’an 710049China

Miniaturized six-axis force/torque sensors have potential applications in robotic tactile sensing,minimally invasive surgery,and other narrow operating spaces,where currently available commercial sensors cannot meet the requirements because of their large *** this study,a silicon-based capacitive six-axis force/torque sensing chip with a small size of 9.3×9.3×0.98 mm was designed,fabricated,and tested.A sandwich decoupling structure with a symmetrical layered arrangement of S-shaped beams,comb capacitors,and parallel capacitors was employed.A decoupling theory considering eccentricity and nonlinear effects was derived to realize low axial *** proposed S-shaped beams achieved a large measurement range through stress *** results of a coupled multiphysics field finite-element simulation agreed well with those of theoretical *** test results show that the proposed sensing chip can detect six-axis force/torque separately,with all crosstalk errors less than 2.59%*** force and torque measurement ranges can reach as much as 2.5 N and 12.5 N·mm,*** sensing chip also has high sensitivities of 0.52 pF/N and 0.27 pF/(N·mm)for force and torque detection,respectively.

关键词： crosstalk shaped torque

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Character recognition competition for street view shop signs

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National science Review 2023年第6期10卷 27-31页

作者： Jingqun Tang Weidong Du Bin Wang Wenyang Zhou Shuqi Mei Tao Xue xing Xu Hai Zhang Shanghai Byte Dance Technology Co. Ltd School of Control Science and Engineering Zhejiang University School of Computer Science and Technology University of Science and Technology of China School of Computer Science and Technology Tsinghua Univeristy Shenzhen Tencent Technology Co. Ltd School of Computer Science and Engineering University of Electronic Science and Technology of China Pazhou Laboratory (Huangpu) School of Mathematics Northwest University

INTRODUCTION Store signboards provide important information in street view images,andcharacter recognition in natural scenes is an important research direction in computer *** view store signboard character recognitio...

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