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An intelligent task offloading algorithm(iTOA)for UAV edge computing network

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Digital Communications and Networks 2020年第4期6卷 433-443页

作者： Jienan Chen siyu Chen siyu luo Qi Wang Bin Cao Xiaoqian Li The National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengduSichuan611731China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong Kong

Unmanned Aerial Vehicle(UAV)has emerged as a promising technology for the support of human activities,such as target tracking,disaster rescue,and ***,these tasks require a large computation load of image or video processing,which imposes enormous pressure on the UAV computation *** solve this issue,in this work,we propose an intelligent Task Offloading Algorithm(iTOA)for UAV edge computing *** with existing methods,iTOA is able to perceive the network’s environment intelligently to decide the offloading action based on deep Monte Calor Tree Search(MCTS),the core algorithm of Alpha *** will simulate the offloading decision trajectories to acquire the best decision by maximizing the reward,such as lowest latency or power *** accelerate the search convergence of MCTS,we also proposed a splitting Deep Neural Network(sDNN)to supply the prior probability for *** sDNN is trained by a self-supervised learning ***,the training data set is obtained from iTOA itself as its own *** with game theory and greedy search-based methods,the proposed iTOA improves service latency performance by 33%and 60%,respectively.

关键词： Unmanned aerial vehicles(UAVs) Mobile edge computing(MEC) Intelligent task offloading algorithm(iTOA) Monte Carlo tree search(MCTS) Deep reinforcement learning Splitting deep neural network(sDNN)

A deep learning driven hybrid beamforming method for millimeter wave MIMO system

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维普期刊数据库

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Digital Communications and Networks 2023年第6期9卷 1291-1300页

作者： Jienan Chen Jiyun Tao siyu luo Shuai Li Chuan Zhang Wei Xiang The National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengduSichuan611731China National Mobile Communications Research Laboratory Southeast UniversityPurple Mountain LaboratoriesNanjing210096China School of Computing Engineering and Mathematical SciencesLa Trobe UniversityMelbourneVIC3086Australia

The hybrid beamforming is a promising technology for the millimeter wave MIMO system,which provides high spectrum efficiency,high data rate transmission,and a good balance between transmission performance and hardware *** most existing beamforming systems transmit multiple streams by formulating multiple orthogonal ***,the Neural network Hybrid Beamforming(NHB)adopts a totally different strategy,which combines multiple streams into one and transmits by employing a high-order non-orthogonal modulation *** by the Deep Learning(DL)hybrid beamforming,in this work,we propose a DL-driven nonorthogonal hybrid beamforming for the single-user multiple streams *** first analyze the beamforming strategy of NHB and prove it with better Bit Error Rate(BER)performance than the orthogonal hybrid beamforming even with the optimal power *** by the NHB,we propose a new DL-driven beamforming scheme to simulate the NHB behavior,which avoids time-consuming neural network training and achieves better BERs than traditional hybrid ***,our simulation results demonstrate that the DL-driven nonorthogonal beamforming outperforms its traditional orthogonal beamforming counterpart in the presence of subconnected schemes and imperfect Channel State Information(CSI).

关键词： Hybrid beamforming Neural network Deep learning driven Non-orthogonal beamforming

Elastic rescattering photoelectron distributions entering the relativistic regime

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Chinese Optics Letters 2015年第7期13卷 9-13页

作者： Sui S.luo Pat Grugan siyu luo Barry C.Walker Physics and Astronomy Department University of Delaware

We report photoelectron energy spectra and angular distributions for ionization with elastic scattering in ultra- strong laser fields. Noble gas species with Hartree-Fock scattering potentials show a reduction in elastic rescat- tering with the increasing energy of ultrastrong fields and when the Lorentz deflection of the photoelectron exceeds its wave function spread. The relativistic extension of a three-step recollision model is well-suited to the ultrastrong intensity regime （〉10^17 W/cm2） that lies between traditional strong fields and extreme relativistic interactions.

关键词： Elastic scattering Electric fields Laser scattering Magnetic fields Scattering Strong field physics

Nitrogen and boron co-doped graphene nanoribbons as peroxidase-mimicking nanozymes for enhanced biosensing

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Chinese Chemical Letters 2022年第1期33卷 344-348页

作者： siyu luo Meng Sha Fei Tian Xialian Li Lijie Fu Yingqiu Gu Lu-Lu Qu Guo-Hai Yang Chengzhou Zhu School of Chemistry&Materials Science Jiangsu Normal UniversityXuzhou 221116China Key Laboratory of Pesticide and Chemical Biology of Ministry of Education International Joint Research Center for Intelligent Biosensing Technology and HealthCollege of ChemistryCentral China Normal UniversityWuhan 430079China

The rational design of nanozymes with superior activities is essential for improving bioassay ***,nitrogen and boron co-doped graphene nanoribbons(NB-GNRs)are prepared by a hydrothermal method using urea as the nitrogen source and boric acid as the boron source,*** introduction of co-doped and edge structures provides high defects and active *** resultant NB-GNRs nanozymes show superior peroxidase-like activities to nitrogen-doped and boron-doped counterparts due to the synergistic *** taking advantage of their peroxidase-like activities,NB-GNRs are used for the first time to develop enzyme-linked immunosorbent assay for the detection of *** biosensors exhibit a high performance with a linear range from 0.001 ng/mL to 1000 ng/mL and a detection limit of 0.3 pg/*** to their low cost and high stability,the proposed nanomaterials show great promise in biocatalysis,immunoassay development and environmental monitoring.

关键词： Graphene nanoribbons Heteroatom doping Nanozymes Biosensing Interleukin-6

Path Planning Algorithm Based on Gb Informed RRT* with Heuristic Bias

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Path Planning Algorithm Based on Gb Informed RRT* with Heuri...

Photonic frequency-multiplied 4096-QAM vector millimeter-wave signal generation using CE-DSM

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作者： siyu luo Shirong Liu Botao Zhang Chaoliang Zhong School of Automation Hangzhou Dianzi University

Recently,rapidly-exploring random trees（RRT） is widely used in path planning for its nature of *** optimized algorithm RRT* extends RRT algorithm to find the optimal path,but it needs to search every state from the initial state to the global scope *** method is not only inefficient,but also contrary to the single-query of *** this paper,a new variant of RRT*-Gb informed RRT* is *** goal biasing is used in the algorithm to guide the search to the *** an initial path is found,and an ellipsoidal subset in the work space can be constructed by the path for the refine *** simulations in 2D and 3D environments show that this algorithm can find an optimal path efficiently.

关键词： path planning rapidly-exploring random trees goal biasing

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Chinese Optics Letters 2024年第10期22卷 19-24页

作者： Acai Tan Yanyi Wang siyu luo Zhengxuan Li Yingxiong Song Jianjun Yu Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai UniversityShanghai 200444China Key Laboratory for Information Science of Electromagnetic Waves(Ministry of Education) Fudan UniversityShanghai 200433China

We propose a photonic frequency-multiplied vector millimeter-wave(mmW)signal generation scheme based on constantenvelope delta-sigma modulation(CE-DSM).The CE characteristic of phase modulation can easily avoid intensity-dependent nonlinear distortion caused by photonic frequency ***,combined with one-bit DSM,the in-band signal-to-noise ratio can be dramatically improved,enabling high-order quadrature amplitude modulation(QAM)vector mmW signal generation with high spectral *** results indicate that a 40 GHz four-fold frequency-multiplied 4096-QAM vector mmW signal generation system is successfully accomplished with 15-km standard single-mode fiber(SSMF)and 1-m wireless transmission,and the bit error ratio(BER)reaches the threshold of 3.8×10^(-3).

关键词： millimeter-wave delta-sigma modulation constant envelope phase modulation

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多中心共同配送与收集网络联盟优化问题研究

重庆交通大学学报（自然科学版） 2021年第10期40卷 130-145页

作者：王勇罗思妤重庆交通大学经济与管理学院重庆400074

针对多中心共同配送与收集网络中物流合作联盟构建和收益分配机制设计方面存在的不足,提出了多中心共同配送与收集网络联盟优化策略。首先,建立了网络运营总成本最小和配送与收集车辆使用数量最少的双目标优化模型。其次,提出了结合k-me... 详细信息

针对多中心共同配送与收集网络中物流合作联盟构建和收益分配机制设计方面存在的不足,提出了多中心共同配送与收集网络联盟优化策略。首先,建立了网络运营总成本最小和配送与收集车辆使用数量最少的双目标优化模型。其次,提出了结合k-means聚类算法和Im-NSGA-Ⅱ算法的混合启发式算法求解模型,该混合算法通过引入贪婪求解思想和精英保留策略,提高了算法的全局收敛性能和局部寻优能力,并与NSGA-Ⅱ和MOGA算法进行对比分析,验证了所提算法的有效性。然后,运用最小费用剩余节约方法(MCRS)研究多中心共同配送与收集网络联盟的收益分配问题,并讨论合作联盟序列选择和联盟稳定性。最后,通过实例对提出的优化模型和算法进行验证。结果表明,该方法能够优化多中心共同配送与收集网络资源配置,降低网络运营成本,为多级共同配送与收集网络优化提供参考和方法借鉴,并为可持续的城市物流网络规划和共享物流合作联盟构建提供决策支持。

关键词：交通与运输工程多中心共同配送与收集 Im-NSGA-Ⅱ算法收益分配联盟稳定性资源配置

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基于两级策略的器材立体仓库货位分配方法

系统工程与电子技术 2017年第8期39卷 1774-1781页

作者：靳萌穆希辉罗偲语陈建华军械工程学院军械技术研究所河北石家庄050003 陆军航空兵学院指挥系北京101123 军械工程学院科研部河北石家庄050003

针对军用维修器材立体仓库的货位分配问题,充分考虑物资的不同存储状态以及货位分配相关的影响因素,提出了一种结合物资需求频率及相关性的多目标货位分配模型。该模型基于分类存储思想,把整个分配过程划分为两级(货物到物资类、货位到... 详细信息

针对军用维修器材立体仓库的货位分配问题,充分考虑物资的不同存储状态以及货位分配相关的影响因素,提出了一种结合物资需求频率及相关性的多目标货位分配模型。该模型基于分类存储思想,把整个分配过程划分为两级(货物到物资类、货位到特定物资),很好地适应了军用维修器材仓库的储存特点。针对该模型,设计了基于Pareto保持机制的多目标模拟退火算法,经算例验证,该方法具有良好的寻优性能,达到了提高存储效率的目的。

关键词：两级策略立体仓库货位分配

基于支持向量机的在线负面口碑处理专家识别方法

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统计与决策 2017年第22期33卷 79-83页

作者：张心泽蔡淑琴罗思宇华中科技大学管理学院武汉430074

针对在线负面口碑处理特点,文章基于支持向量机理论提出了领域知识水平、情感状态和互动程度三种特征维度的专家用户识别方法以帮助企业处理在线负面口碑。应用向量空间模型计算用户领域知识水平,通过情感词典计算用户情感状态,并引入... 详细信息

针对在线负面口碑处理特点,文章基于支持向量机理论提出了领域知识水平、情感状态和互动程度三种特征维度的专家用户识别方法以帮助企业处理在线负面口碑。应用向量空间模型计算用户领域知识水平,通过情感词典计算用户情感状态,并引入互动程度特征,以此构建支持向量机分类模型,实现专家识别。实验表明混合特征分类模型可以显著提高在线负面口碑处理专家识别的准确率和总体效果,验证了该方法的有效性。

关键词：在线负面口碑支持向量机专家识别