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A Base Station Deployment Algorithm for Wireless Positioning Considering Dynamic Obstacles

computers, Materials & Continua 2025年第3期82卷 4573-4591页

作者： Aiguo Li Yunfei Jia Department of Network Engineering Xi’an University of Science and TechnologyXi’an710600China College of Computer Science and Technology Xi’an University of Science and TechnologyXi’an710600China

In the context of security systems,adequate signal coverage is paramount for the communication between security personnel and the accurate positioning of *** studies focus on optimizing base station deployment under the assumption of static obstacles,aiming to maximize the perception coverage of wireless RF(Radio Frequency)signals and reduce positioning blind ***,in practical security systems,obstacles are subject to change,necessitating the consideration of base station deployment in dynamic ***,research in this area still needs to be *** paper proposes a Dynamic Indoor Environment Beacon Deployment Algorithm(DIE-BDA)to address this *** algorithm considers the dynamic alterations in obstacle locations within the designated *** determines the requisite number of base stations,the requisite time,and the area’s practical and overall signal coverage *** experimental results demonstrate that the algorithm can calculate the deployment strategy in 0.12 s following a change in obstacle *** results show that the algorithm in this paper requires 0.12 s to compute the deployment strategy after the positions of obstacles *** 13 base stations,it achieves an effective coverage rate of 93.5%and an overall coverage rate of 97.75%.The algorithm can rapidly compute a revised deployment strategy in response to changes in obstacle positions within security systems,thereby ensuring the efficacy of signal coverage.

关键词： Wireless positioning base station deployment dynamic obstacles dynamic obstacle wireless positioning

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SDA-YOLOv8s: An improved YOLOv8s for object detection based on UAV aerial images

SDA-YOLOv8s: An improved YOLOv8s for object detection based ...

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2024 International Conference on computer Graphics, Artificial Intelligence, and Data Processing, ICCAID 2024

作者： Tao, Jiawen Zhang, Zitong Xie, Xiaolan College of Computer Science and Engineering Guilin University of Technology Guilin 541006 China

ISBN: (纸本)9781510689275

Object detection is one of the core tasks in computer vision, aiming to automatically identify and locate specific objects within images or videos. This paper proposes an improved YOLOv8s model that introduces several innovative optimizations to address the challenges of small object detection. The model enhances the retention and accuracy of small object features by incorporating a small object detection layer, along with a feature fusion mechanism and the C2f module, effectively mitigating the issue of key information loss in traditional YOLO models when processing fine-grained objects. Additionally, the model employs the SCSA module (Multi-Semantic Space Attention and Progressive Channel Self-Attention Mechanism), which significantly improves the model’s ability to fuse multi-scale features in complex scenes, enhancing the robustness of small object detection in low-light and cluttered backgrounds. Finally, the DySample mechanism is introduced to optimize the sampling points for content acquisition, improving the recovery of small object features while reducing computational overhead, ensuring efficient inference speed. Through these innovations, YOLOv8s achieves a detection accuracy (mAP@0.5) of 43.6% on the VisDrone2019 dataset, outperforming models such as YOLOv5 and YOLOv7, particularly demonstrating superior generalization ability and real-time performance in complex environments. © 2025 SPIE.

关键词： attention mechanism object detection YOLOv8s

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Blockchain and signcryption enabled asynchronous federated learning framework in fog computing

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Digital Communications and Networks 2025年第2期11卷 442-454页

作者： Zhou Zhou Youliang Tian Jinbo Xiong Changgen Peng Jing Li Nan Yang State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China Fujian Provincial Key Laboratory of Network Security and Cryptology College of Computer and Cyber SecurityFujian Normal UniversityFuzhou 350117China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic TechnologyGuilin 541004China

Federated learning combines with fog computing to transform data sharing into model sharing,which solves the issues of data isolation and privacy disclosure in fog ***,existing studies focus on centralized single-layer aggregation federated learning architecture,which lack the consideration of cross-domain and asynchronous robustness of federated learning,and rarely integrate verification mechanisms from the perspective of *** address the above challenges,we propose a Blockchain and Signcryption enabled Asynchronous Federated Learning(BSAFL)framework based on dual aggregation for cross-domain *** particular,we first design two types of signcryption schemes to secure the interaction and access control of collaborative learning between ***,we construct a differential privacy approach that adaptively adjusts privacy budgets to ensure data privacy and local models'availability of intra-domain ***,we propose an asynchronous aggregation solution that incorporates consensus verification and elastic participation using ***,security analysis demonstrates the security and privacy effectiveness of BSAFL,and the evaluation on real datasets further validates the high model accuracy and performance of BSAFL.

关键词： Blockchain Signcryption Federated learning Asynchronous Fog computing

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RNN based EPON dynamic bandwidth allocation algorithm for complex network

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Journal of Optical Communications 2024年第3期45卷 555-562页

作者： Yu, Jinxia Fu, Yanyan Xiao, Fan Jia, Huijuan Qin, Panke Zhao, Zongqu You, Junru Liu, Feiyang Han, Shangya Wang, Jiawei College of Computer Science and Technology Henan Polytechnic University Jiaozuo454000 China College of Computer Science and Technology Harbin Engineering University Harbin150001 China College of Computer Science and Technology Jilin University Changchun130012 China

In the development of ethernet passive optical networks (EPONs), quality of service (QoS) support and fairness per optical network unit (ONU) are crucial issues. However, making an elaborate analysis of the existing prediction-based bandwidth allocation algorithm, light load penalty, low prediction precision are pointed out. We present an improved dynamic bandwidth pre-allocation algorithm (R-DBA), which employs recurrent neural network (RNN) to predict the high-priority service traffic in EPON. And we introduce mixed integer linear programming (MILP) for optimally building DBA algorithm. This algorithm achieves the prediction of the high-priority service traffic by RNN during the waiting time and supports bandwidth pre-allocation, thus ensuring the fairness of the bandwidth allocation. © 2022 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Complex networks

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Offline/online attribute-based searchable encryption scheme from ideal lattices for IoT

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Frontiers of computer science 2024年第3期18卷 239-241页

作者： Yang YANG Guoyin ZHANG Sizhao LI Zechao LIU College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China

1 Introduction The Internet of Things(IoT)has facilitated the development of numerous fields in our ***,some equipment in IoT environment lacks sufficient storage and data processing capabilities[1].A feasible strateg... 详细信息

关键词： IoT encryption scheme

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Improving atmospheric pressure vertical correction model using Gaussian function

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Geodesy and Geodynamics 2025年第1期16卷 67-74页

作者： Baoshuang Zhang Junyu Li Lilong Liu Yibin Yao Liangke Huang Chao Ren Hongchang He Tengxu Zhang Yuxin Wang College of Geomatics and Geoinformation Guilin University of TechnologyGuilin 541004China Guangxi Key Laboratory of Spatial Information and Geomatics Guilin 541004China School of Geodesy and Geomatics Wuhan UniversityWuhan 430079China Schoolof Resources and Environmental Science and Engineering Hubei University of Science and TechnologyXianning 437100China

The Zenith Hydrostatic Delay(ZHD)is essential for high-precision Global Navigation Satellite System(GNSS)and Very Long Baseline Interferometry(VLBI)data *** estimation of ZHD relies on in situ atmospheric pressure,which is primarily variable in the vertical *** atmospheric pressure is either site-specific or has limited spatial coverage,necessitating vertical corrections for broader *** study introduces a model that uses a Gaussian function for the vertical correction of atmospheric pressure when in situ meteorological observations are *** with the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis(ERA5)reveals an average Bias and RMS for the new model of 0.31 h Pa and 2.96 h Pa,*** corresponds to improvements of 37.5%and 80.3%in terms of RMS compared to two commonly used models(T0and Tvmodels)that require in situ meteorological observations,*** validation with radiosonde data shows an average Bias and RMS of 1.85 h Pa and 4.87 h Pa,corresponding to the improvement of 42.8%and 71.1%in RMS compared with T0and Tv models,*** accuracies are sufficient for calculating ZHD to an accuracy of 1 mm by performing atmospheric pressure vertical *** new model can correct atmospheric pressure from meteorological stations or numerical weather forecasts to different heights of the troposphere.

关键词： Atmospheric pressure Vertical correction Zenith hydrostatic delay(ZHD) Gauss function ERA5

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Research on Multi Beam Sounding Based on Spatial Position Relationship and Backtracking Algorithm 2

Research on Multi Beam Sounding Based on Spatial Position Re...

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2nd IEEE International Conference on Control, Electronics and computer technology, ICCECT 2024

作者： Xian, Bensen Liu, Bo Li, Yufen Zhu, Baicheng Chen, Qiuyan Diao, Jinlong Sun, Wenkai Mo, Jiahuan Bai, Shaoyuan Zhang, Ya'nan College of Environmental Science and Engineering Guilin University of Technology Guilin China School of Computer Science and Engineering Guilin University of Technology Guilin China School of Mathematics and Statistics Guilin University of Technology Guilin China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of Technology Guilin China

ISBN: (纸本)9798350380958

The multi beam depth measurement system is an efficient underwater terrain measurement method, which has wide applications in marine terrain surveys, underwater archaeology, and other fields. Therefore, exploring the problem of multi beam survey lines is of great research significance for the exploration of marine disciplines. This article mainly uses SketChup for drawing. With the help of mathematical geometry and triangle theory, a seawater depth calculation model, a coverage width calculation model, and an optimal survey line design model are constructed. The indicator values of each measurement point are solved using Python. This paper establishes a mathematical model for the coverage width of multi beam depth measurement and the overlaps rate between adjacent bands. Firstly, the spatial structure is analyzed as a planar Fig. Then, this paper uses a plan for geometric analysis to obtain right angled triangles with similar ratios. Through physical analysis, a seawater depth measurement model was established. Then, geometric analysis is performed using the obtained planar Fig to obtain a right angled triangle with similar ratios. Then, a depth measurement model for seawater is obtained through physical angle analysis. The coverage width measurement model and the repetition rate measurement model are established using the sine theorem and equal substitution. Finally, using Python, we calculate the index values for the listed positions with an open angle of 120°, a slope of 1.5°, and a center point seawater depth of 70m. For example, the depth, coverage width, and overlap rate of the measuring line at a distance of 200m from the center point are 64.763m, 224.885m, and 13.837%, respectively. © 2024 IEEE.

关键词： Python

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Entropy regulation in LaNbO_(4)-based fergusonite to implement high-temperature phase transition and promising dielectric properties

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Journal of Advanced Ceramics 2023年第5期12卷 1067-1080页

作者： Deqin Chen Na Yan Xuefeng Cao Fengrong Li Laijun Liu Qinghua Shen Huanfu Zhou Chunchun Li Guangxi University Key Laboratory of Non-ferrous Metal Oxide Electronic Functional Materials and Devices College of Material Science and EngineeringGuilin University of TechnologyGuilin 541004China Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin University of TechnologyGuilin 541004China

High-entropy effect is a novel design strategy to optimize properties and explore novel *** this work,(La_(1/5)Nd_(1/5)Sm_(1/5)Ho_(1/5)Y_(1/5))NbO_(4)(5RNO)high-entropy microwave dielectric ceramics were successfully prepared in the sintering temperature(S.T.)range of 1210–1290℃via a solid-phase reaction route,and medium-entropy(La_(1/3)Nd_(1/3)Sm_(1/3))NbO_(4) and(La_(1/4)Nd_(1/4)Sm_(1/4)Ho_(1/4))NbO_(4)(3RNO and 4RNO)ceramics were *** effects of the entropy(S)on crystal structure,phase transition,and dielectric performance were *** entropy increase yields a significant increase in a phase transition temperature(from monoclinic fergusonite to tetragonal scheelite structure).Optimal microwave dielectric properties were achieved in the high-entropy ceramics(5RNO)at the sintering temperature of 1270℃for 4 h with a relative density of 98.2%and microwave dielectric properties of dielectric permittirity(ε_(r))=19.48,quality factor(Q×f)=47,770 GHz,and resonant frequency temperature coefficient(τ_(f))=–13.50 ppm/℃.This work opens an avenue for the exploration of novel microwave dielectric material and property optimization via entropy engineering.

关键词： high-entropy ceramics microwave dielectric property ion disorder far-infrared

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SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images

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Tsinghua science and technology 2023年第4期28卷 628-638页

作者： Lan Zhang Kejia Zhang Haiwei Pan College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China

As a deep learning network with an encoder-decoder architecture,UNet and its series of improved versions have been widely used in medical image segmentation with great ***,when used to segment targets in 3D medical images such as magnetic resonance imaging(MRI),computed tomography(CT),these models do not model the relevance of images in vertical space,resulting in poor accurate analysis of consecutive slices of the same *** the other hand,the large amount of detail lost during the encoding process makes these models incapable of segmenting small-scale tumor *** at the scene of small-scale target segmentation in 3D medical images,a fully new neural network model SUNet++is proposed on the basis of UNet and UNet++.SUNet++improves the existing models mainly in three aspects:1)the modeling strategy of slice superposition is used to thoroughly excavate the three dimensional information of the data;2)by adding an attention mechanism during the decoding process,small scale targets in the picture are retained and amplified;3)in the up-sampling process,the transposed convolution operation is used to further enhance the effect of the *** order to verify the effect of the model,we collected and produced a dataset of hyperintensity MRI liver-stage images containing over 400 cases of liver *** results on both public and proprietary datasets demonstrate the superiority of SUNet++in small-scale target segmentation of three-dimensional medical images.

关键词： 3D medical images small-scale target segmentation attention mechanism

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Fabrication of La,Ce co-doped ZnO nanorods for improving photodegradation of methylene blue

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Journal of Rare Earths 2024年第1期42卷 76-83,I0003页

作者： Erfan Hakim Azmal Zaid Jin-Chung Sin Sze-Mun Lam Abdul Rahman Mohamed School of Chemical Engineering Universiti Sains Malaysia(USM)14300Nibong TebalPenangMalaysia College of Environmental Science and Engineering Guilin University of TechnologyGuilin541004China Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control Guilin University of TechnologyGuilin541004China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of TechnologyGuilin541004China Faculty of Engineering and Green Technology Universiti Tunku Abdul RahmanJalan UniversitiBandar Barat31900KamparPerakMalaysia

La,Ce co-doped ZnO nanorods(ZnLC)were synthesized through a one-step solvothermal *** photocatalysts were characterized by X-ray diffraction,Raman spectroscopy,field-emission scanning electron microscopy,energy dispersive X-ray,transmission electron microscopy,UV-vis diffuse reflectance spectroscopy and photo luminescence *** La and Ce doping enhanced the visible light absorption ability of ZnLC and a red shift was detected for *** simulated solar light irradiation,the ZnO doped with 3 at%La and 1 at%Ce(ZnLC1)degrades methylene blue(MB)more effectively than those of pure ZnO,La-doped ZnO(ZnL)and commercially available *** improved photocatalytic performance of ZnLC1 can be attributed to the high charge separation efficiency as demonstrated by the photoluminescence ***,the photocatalytic experiments reveal that several parameters have their own impact on the MB *** a variety of radical scavengers,it is discovered that superoxide anion radical plays a crucial role in the degradation of *** ZnLC1 is also reused several times without noticeable decrease of photoactivity,indicating that it has a substantial potential for environmental remediation applications.

关键词： ZnO Lanthanum Cerium Co-doping Photodegradation Rare earths

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