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QoS Aware Routing Protocol to Improve Packet Transmission in Shadow-Fading Environment for Mobile Ad Hoc Networks 认领 引用
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作者 T. Sangeetha K. K. Venkatesh Venkatesh +1 位作者 Rajesh   M. S. K. Manikandan 《Communications and Network》 2013年第3期611-617,共7页
In Shadow-Fading model, it is difficult to achieve higher Packet Delivery Ratio (PDR) due to the effects of large scale fading. The main goal of this paper is to improve the PDR in Shadow-Fading environment. To achiev... In Shadow-Fading model, it is difficult to achieve higher Packet Delivery Ratio (PDR) due to the effects of large scale fading. The main goal of this paper is to improve the PDR in Shadow-Fading environment. To achieve this objective a protocol has been proposed that discovers backup routes for active sessions. These backup routes salvage the packets of active session in case of active route failure. It is found by research that proactively maintaining backup routes for ac-tive sessions can noticeably improve the PDR in Shadow-Fading environment. This protocol has been implemented with a mechanism of having backup routes and simulations have been conducted by using both node disjoint paths and link disjoint paths. Comparisons have been made between new protocol as well as AODV protocol. Simulation has been carried out using Network Simulator 2 (NS2) and the results show that the proposed QoSAR protocol exhibits higher PDR than AODV protocol in Shadow-fading environment. 展开更多
关键词 Shadow-Fading Model Adhoc On Demand Distance Vector Routing (AODV) Backup Routes Node Disjoint Paths Link Disjoint Paths Packet Delivery Ratio (PDR) Quality of Service Aware Routing (QoSAR)
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ADMM-based Distributed Algorithm for Economic Dispatch in Power Systems With Both Packet Drops and Communication Delays 认领 引用 被引量：13
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作者 Qing Yang Gang Chen Ting Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2020年第3期842-852,共11页
By virtue of alternating direction method of multipliers(ADMM), Newton-Raphson method, ratio consensus approach and running sum method, two distributed iterative strategies are presented in this paper to address the e... By virtue of alternating direction method of multipliers(ADMM), Newton-Raphson method, ratio consensus approach and running sum method, two distributed iterative strategies are presented in this paper to address the economic dispatch problem(EDP) in power systems. Different from most of the existing distributed ED approaches which neglect the effects of packet drops or/and time delays, this paper takes into account both packet drops and time delays which frequently occur in communication networks. Moreover, directed and possibly unbalanced graphs are considered in our algorithms, over which many distributed approaches fail to converge. Furthermore, the proposed schemes can address the EDP with local constraints of generators and nonquadratic convex cost functions, not just quadratic ones required in some existing ED approaches. Both theoretical analyses and simulation studies are provided to demonstrate the effectiveness of the proposed schemes. 展开更多
关键词 Alternating direction method of multipliers(ADMM) average consensus directed graph(digraph) distributed algorithm economic dispatch packet drops time delays
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Correction:Fault Identification in Renewable Energy Transmission Lines Using Wavelet Packet Decomposition and Voltage Waveform Analysis 认领 引用
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作者 Huajie Zhang Xiaopeng Li +2 位作者 Hanlin Xiao Lifeng Xing Wenyue Zhou 《Energy Engineering》 EI 2026年第8期374-374,共1页
Fault Identification in Renewable Energy Transmission Lines Using Wavelet Packet Decomposition and Voltage Waveform Analysis,vol.123,no.3,pp.20,2026.http://gffzzd3cc09b8251d45dfs5nnw6kcncnoo6kwp.ffgz.tsg.suse.edu.cn/10.32604/ee.2026.071768.Following publication of the... Fault Identification in Renewable Energy Transmission Lines Using Wavelet Packet Decomposition and Voltage Waveform Analysis,vol.123,no.3,pp.20,2026.http://gffzzd3cc09b8251d45dfs5nnw6kcncnoo6kwp.ffgz.tsg.suse.edu.cn/10.32604/ee.2026.071768.Following publication of the article,a request was received to correct the institutional affiliation of the authors.The request was supported by relevant documentation and approved by all authors. 展开更多
关键词 renewable energy transmission lines wavelet packet decomposition correct institutional affiliation transmission lines voltage waveform analysisvol no pp https doiorg ee following renewable energy fault identification
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Random Access Algorithms in Packet Networks—A Review of Three Research Decades 认领 引用 被引量：2
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作者 A. T. Burrell P. Papantoni-Kazakos 《International Journal of Communications, Network and System Sciences》 2012年第10期691-707,共17页
We present a coherent and systematic review of Random Access Algorithms for packet networks, as developed over three and a half decades. We consider the appropriate user models and we classify the algorithms according... We present a coherent and systematic review of Random Access Algorithms for packet networks, as developed over three and a half decades. We consider the appropriate user models and we classify the algorithms according to the channel sensing constraints imposed. We also present a review of the analytical methodologies required for the performance analysis of these algorithms. 展开更多
关键词 Random Access Packet Networks Channel Sensing Throughput and Delay Analysis Sensitivity to Feedback Errors Limit Poisson User Model
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Proportional-Integral Observer Design for Multi-Rate Systems Under Decode-and-Forward Relays:Tackling Power-Dependent Packet Dropouts 认领 引用
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作者 Di Zhao Zidong Wang +2 位作者 Derui Ding Qing-Long Han Guoliang Wei 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1558-1571,共14页
In this paper,the problem of proportional-integral observer(PIO)design is investigated for a class of discrete-time multi-rate systems with multiple sensors,with the sensor sampling periods being allowed to differ fro... In this paper,the problem of proportional-integral observer(PIO)design is investigated for a class of discrete-time multi-rate systems with multiple sensors,with the sensor sampling periods being allowed to differ from the system updating periods.The facilitation of communication between sensors and the remote PIO through wireless networks,which are subject to probabilistic packet dropouts,is achieved through the utilization of a decode-and-forward relay-based strategy.The occurrence of packet dropouts is governed by a Bernoulli-distributed random variable whose probability is dependent on the available transmission power.A decode-and-forward relay-based strategy,developed based on different components,is capable of processing information from different encoders at different physical locations.For the convenience of observer design,the lifting technique is employed with aim to cast the multi-rate system into a single-rate one.By establishing sufficient conditions,the combined effect of external noises and relaying-aided communication on estimation performance is intuitively illustrated.Subsequently,a PIO with an adjustable parameter is designed by solving certain optimization problems.A simulation example is finally provided to validate the theoretical results. 展开更多
关键词 Decode-and-forward relay multi-rate systems networked systems proportional-integral observer design power-dependent packet dropouts
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基于Cisco Packet Tracer的智慧校园网设计 认领 引用
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作者 段宗维 巩倩倩 杨青青 《信息记录材料》 2026年第7期32-34,共3页
随着信息技术与教育领域的深度融合,传统校园网络在承载能力、服务质量等方面亟待改善,构建高速、智能的校园网络已成为现代教育机构发展的必然趋势。本文提出一种基于Cisco Packet Tracer的智慧校园网方案,构建了覆盖行政楼、教学楼、... 随着信息技术与教育领域的深度融合,传统校园网络在承载能力、服务质量等方面亟待改善,构建高速、智能的校园网络已成为现代教育机构发展的必然趋势。本文提出一种基于Cisco Packet Tracer的智慧校园网方案,构建了覆盖行政楼、教学楼、图书馆和宿舍区的网络拓扑:通过划分虚拟局域网(VLAN)实现区域隔离,借助三层交换机完成VLAN间路由;采用路由信息协议(RIP)实现跨网段动态路由互通,配置动态主机配置协议(DHCP)服务为终端设备自动分配IP地址。方案的创新点在于集成物联网(IoT)服务,成功将空调、门、窗、灯等智能设备接入网络,实现监控平台上的远程集中控制。仿真结果表明,该设计方案可满足智慧校园多样化应用需求,为实际校园智能网络的规划、部署与运维提供了有价值的参考。 展开更多
关键词 Cisco Packet Tracer 智慧校园网 虚拟局域网 动态主机配置协议服务 物联网服务
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Reduction of Superconducting Wave Packets in Dispersion Dynamics 认领 引用
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作者 Antony J. Bourdillon 《Journal of Modern Physics》 2020年第3期365-377,共13页
Two problems in solid state physics and superconductivity are addressed by applications of dispersion dynamics. The first is the Hall effect. The dynamics of charges that yield positive Hall coefficients in material h... Two problems in solid state physics and superconductivity are addressed by applications of dispersion dynamics. The first is the Hall effect. The dynamics of charges that yield positive Hall coefficients in material having no mobile positive charges have always been problematic The effect requires both electric and magnetic response, but magnetic deflection is only possible in mobile charges. In high temperature superconductors, these charges must be electrons. Contrary to Newton’s second law, their acceleration is reversed in crystal fields that dictate negative dispersion. This is evident in room temperature measurements, but a second problem arises in supercurrents at low temperatures. The charge dynamics in material having zero internal electric field because of zero resistivity;and zero magnetic field because of the Meissner-Ochsenfeld diamagnetism;while the supercurrents themselves have properties of zero net momentum;zero spin;and sometimes, zero charge;are so far from having been resolved that they may never have been addressed. Again, dispersion dynamics are developed to provide solutions given by reduction of the superconducting wave packet. The reduction is here physically analyzed, though it is usually treated as a quantized unobservable. 展开更多
关键词 Reduction Wave Packet Dispersion Dynamics Special Relativity Propagation Transverse Plane Functions of Relativistic Free Particles Quantum Physics Quantum Mechanics
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基于Cisco Packet Tracer的VLAN划分与配置实验研究 认领 引用
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作者 赵凤 《微型计算机》 2026年第14期207-209,共3页
VLAN技术作为现代网络架构的核心组成部分,在企业网络建设中发挥着关键作用。基于Cisco Packet Tracer仿真平台,该研究深入探索了VLAN划分策略与配置实施方法。具体而言,该研究构建了包含多台交换机的复杂网络拓扑结构,系统性地应用了Ac... VLAN技术作为现代网络架构的核心组成部分,在企业网络建设中发挥着关键作用。基于Cisco Packet Tracer仿真平台,该研究深入探索了VLAN划分策略与配置实施方法。具体而言,该研究构建了包含多台交换机的复杂网络拓扑结构,系统性地应用了Access端口静态VLAN配置、Trunk端口跨交换机数据传输、三层交换机VLAN间路由等核心技术,并从网络传输性能、带宽利用率、安全策略等多个维度进行了测试分析,验证了VLAN技术在网络分段、流量隔离与安全控制方面的显著效果。实验结果表明,合理的VLAN划分方案能够有效提升网络性能,减少广播域冲突,增强网络安全性。 展开更多
关键词 VLAN技术 Cisco Packet Tracer 网络配置 三层交换 仿真实验 性能分析
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Optimizing Packet Generation Rate for Multiple Hops WBAN with CSMA/CA Based on IEEE802.15.6 认领 引用
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作者 Pham Thanh Hiep Ryuji Kohno 《Communications and Network》 2014年第2期112-123,共12页
Wireless Body Area Network (WBAN) is considered to apply to both medical healthcare and entertainment applications. A requirement for each application is different, i.e. high reliability for medical healthcare whereas... Wireless Body Area Network (WBAN) is considered to apply to both medical healthcare and entertainment applications. A requirement for each application is different, i.e. high reliability for medical healthcare whereas high throughput for entertainment application. However, for both applications, low energy consumption is requested. Multiple hops technics have been researching in many fields of wireless system, e.g., ad hod, mobile, ITS etc. and its energy-efficiency is reported to be high. We propose the multiple hops technic for WBAN, however, WBAN is different to another systems, almost sensors forward the vital data packet of another sensors while sensing and generating the data packet of itself. Therefore, according to a packet generation rate of all sensors, probabilities of successful transmission and packet loss because of collision, timeout and overflow, are changed. It means that the vital data is lost and the transmit power is wasted due to packet loss. In order to obtain the highest throughput and save the power, the successful transmission probability is analyzed and the packet generation rate is optimized for multiple hops WBAN that using CSMA/CA based on IEEE802.15.6. The numerical calculation result indicates that the optimized packet generation rate depends on the system model. Moreover, the relation between the system model, the optimized packet generation rate and the throughput is discussed in the paper. 展开更多
关键词 Multiple Hops Body Area Network Optimal Packet Generation Rate Successful Probability Collision Probability CSMA/CA of IEEE802.15.6
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Classification of Power Quality Disturbances Using Wavelet Packet Energy Entropy and LS-SVM 认领 引用
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作者 Ming Zhang Kaicheng Li Yisheng Hu 《Energy and Power Engineering》 2010年第3期154-160,共7页
The power quality (PQ) signals are traditionally analyzed in the time-domain by skilled engineers. However, PQ disturbances may not always be obvious in the original time-domain signal. Fourier analysis transforms sig... The power quality (PQ) signals are traditionally analyzed in the time-domain by skilled engineers. However, PQ disturbances may not always be obvious in the original time-domain signal. Fourier analysis transforms signals into frequency domain, but has the disadvantage that time characteristics will become unobvious. Wavelet analysis, which provides both time and frequency information, can overcome this limitation. In this paper, there were two stages in analyzing PQ signals: feature extraction and disturbances classification. To extract features from PQ signals, wavelet packet transform (WPT) was first applied and feature vectors were constructed from wavelet packet log-energy entropy of different nodes. Least square support vector machines (LS-SVM) was applied to these feature vectors to classify PQ disturbances. Simulation results show that the proposed method possesses high recognition rate, so it is suitable to the monitoring and classifying system for PQ disturbances. 展开更多
关键词 Power Quality (PQ) Wavelet Packet Transform (WPT) Wavelet Packet Log-Energy Entropy Least Square Support Vector Machines (LS-SVM)
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Packet Tracer二次调用在网络虚拟仿真实验中的应用研究 认领 引用
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作者 蒲宝卿 《办公自动化》 2026年第10期89-92,共4页
针对传统网络实验依赖物理设备、场景复用性低、操作过程难以自动化等问题,提出基于PacketTracer(PT)二次调用的虚拟仿真实验方案。通过JavaWeb技术封装PT的命令行接口(CLI)与API,构建"前端实验平台-后端调用服务-PT虚拟环境"... 针对传统网络实验依赖物理设备、场景复用性低、操作过程难以自动化等问题,提出基于PacketTracer(PT)二次调用的虚拟仿真实验方案。通过JavaWeb技术封装PT的命令行接口(CLI)与API,构建"前端实验平台-后端调用服务-PT虚拟环境"三层架构实验平台,实现实验拓扑自动加载、设备配置批量执行、实验结果实时反馈等功能。实验结果表明,该方案有效提升网络实验教学的效率与可扩展性,为高校网络课程虚拟仿真实验平台建设提供参考。 展开更多
关键词 PacketTracer 二次调用 虚拟仿真实验
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基于高阶Cisco Packet Tracer的“物联网技术基础”课程实验体系构建 认领 引用 被引量：2
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作者 张雅琼 王建强 +1 位作者 韩贝 赵鹏 《物联网技术》 2025年第8期156-159,共4页
针对物联网技术基础课程实验条件有限、学生专业知识积累少和物联网体系结构复杂的问题,基于高阶Cisco Packet Tracer构建了课程实验体系。基于Packet Tracer仿真平台设计了基础实验、综合实验和创新实验三个层次的实验项目,实验设计由... 针对物联网技术基础课程实验条件有限、学生专业知识积累少和物联网体系结构复杂的问题,基于高阶Cisco Packet Tracer构建了课程实验体系。基于Packet Tracer仿真平台设计了基础实验、综合实验和创新实验三个层次的实验项目,实验设计由浅入深,难度从简单到复杂,从而达到逐步提升学生实验技能和创新能力的目的。论文对智能停车场实验项目的物联网体系架构进行了详细阐述,从感知层、传输层、平台层到应用层逐层展开,深入浅出地解析了各层的关键技术及其实现原理。实验教学实施结果表明,该实验体系能够有效提升学生的学习兴趣和实践能力,为物联网工程应用型人才的培养提供了有力支持。 展开更多
关键词 Cisco Packet Tracer 物联网技术 基础课程 实验教学体系 仿真实验 应用型人才
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Wave packet solutions in a bounded equatorial ocean and its interannual and decadal variabilities 认领 引用 被引量：4
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作者 Dongling Zhang Juan Zhu +1 位作者 Xu Lu Ming Zhang 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2019年第3期45-59,共15页
Linearized shallow water perturbation equations with approximation in an equatorial β plane are used to obtain the analytical solution of wave packet anomalies in the upper bounded equatorial ocean. The main results ... Linearized shallow water perturbation equations with approximation in an equatorial β plane are used to obtain the analytical solution of wave packet anomalies in the upper bounded equatorial ocean. The main results are as follows. The wave packet is a superposition of eastward travelling Kelvin waves and westward travelling Rossby waves with the slowest speed, and satisfies the boundary conditions of eastern and western coasts, respectively.The decay coefficient of this solution to the north and south sides of the equator is inversely proportional only to the phase velocity of Kelvin waves in the upper water. The oscillation frequency of the wave packet, which is also the natural frequency of the ocean, is proportional to its mode number and the phase velocity of Kelvin waves and is inversely proportional to the length of the equatorial ocean in the east-west direction. The flow anomalies of the wave packet of Mode 1 most of the time appear as zonal flows with the same direction. They reach the maximum at the center of the equatorial ocean and decay rapidly away from the equator, manifested as equatorially trapped waves. The flow anomalies of the wave packet of Mode 2 appear as the zonal flows with the same direction most of the time in half of the ocean, and are always 0 at the center of the entire ocean which indicates stagnation, while decaying away from the equator with the same speed as that of Mode 1. The spatial structure and oscillation period of the wave packet solution of Mode 1 and Mode 2 are consistent with the changing periods of the surface spatial field and time coefficient of the first and second modes of complex empirical orthogonal function(EOF)analysis of flow anomalies in the actual equatorial ocean. This indicates that the solution does exist in the real ocean, and that El Ni?o-Southern Oscillation(ENSO) and Indian Ocean dipole(IOD) are both related to Mode 2.After considering the Indonesian throughflow, we can obtain the length of bounded equatorial ocean by taking the sum of that of the tropical Indian Ocean and the tropical Pacific Ocean, thus this wave packet can also explain the decadal variability(about 20 a) of the equatorial Pacific and Indian Oceans. 展开更多
关键词 bounded equatorial ocean wave packet solutions decadal variability Kelvin wave Rossby wave
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Wavelet packet feature selection for lung sounds based on optimization 认领 引用
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作者 于彬 田逢春 +5 位作者 HE Qing-hua RAN Jian LV Bo HONG Xin LIU Tao 毕玉田 《Journal of Chongqing University》 2016年第4期127-138,共12页
In this paper, a wavelet packet feature selection method for lung sounds based on optimization is proposed to obtain the best feature set which maximizes the differences between normal lung sounds and abnormal lung so... In this paper, a wavelet packet feature selection method for lung sounds based on optimization is proposed to obtain the best feature set which maximizes the differences between normal lung sounds and abnormal lung sounds(sounds with wheezes or rales). The proposed method includes two main steps: Firstly, the wavelet packet transform(WPT) is used to extract the original features of lung sounds; then the genetic algorithm(GA) is used to select the best feature set. The obtained optimal feature set is sent to four different classifiers to evaluate the performance of the proposed method. Experimental results show that the feature set obtained by the proposed method provides a higher classification accuracy of 94.6% in comparison with the best wavelet packet basis approach and multi-scale principal component analysis(PCA) approach. Meanwhile, the proposed method has effective generalization performance and can obtain the best feature set without priori knowledge of lung sounds. 展开更多
关键词 wavelet packet transform feature selection genetic algorithm lung sound pattern recognition
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基于Packet Tracer搭建物联网仿真实验平台 认领 引用
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作者 唐灯平 张文哲 张宏斌 《物联网技术》 2025年第22期141-144,共4页
为推动物联网技术在教学实践、科研创新与应用开发领域的落地,基于Packet Tracer搭建了一种低成本、易操作的物联网仿真实验平台。该平台采用模块化设计,充分利用Packet Tracer提供的网络设备和传感器模型,构建了多种典型物联网应用场... 为推动物联网技术在教学实践、科研创新与应用开发领域的落地,基于Packet Tracer搭建了一种低成本、易操作的物联网仿真实验平台。该平台采用模块化设计,充分利用Packet Tracer提供的网络设备和传感器模型,构建了多种典型物联网应用场景。测试结果表明,所搭建的仿真实验平台能够有效模拟真实物联网环境,为用户提供直观且可控的实验体验;同时具备低成本、易部署和可扩展性强等优点,可有效降低物联网实验的门槛,进而促进物联网技术的普及和发展。 展开更多
关键词 新工科 Packet Tracer 物联网 互联网 仿真实验平台 教学改革
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Jamming recognition method based on wavelet packet decomposition and improved deep learning 认领 引用 被引量：1
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作者 Qi Wu Gang Li +4 位作者 Xiang Wang Hao Luo Lianghong Li Qianbin Chen Xiaorong Jing 《Digital Communications and Networks》 SCIE EI CSCD 2025年第5期1469-1478,共10页
To overcome the challenges of poor real-time performance,limited scalability,and low intelligence in conventional jamming pattern recognition methods,this paper proposes a method based on Wavelet Packet Decomposition(... To overcome the challenges of poor real-time performance,limited scalability,and low intelligence in conventional jamming pattern recognition methods,this paper proposes a method based on Wavelet Packet Decomposition(WPD)and enhanced deep learning techniques.In the proposed method,an agent at the receiver processes the received signal using WPD to generate an initial Spectrogram Waterfall(SW),which is subsequently segmented using a sliding window to serve as the input for the jamming recognition network.The network employs a bilateral filter to preprocess the input SW,thereby enhancing the edge features of the jamming signals.To extract abstract features,depthwise separable convolution is utilized instead of traditional convolution,thereby reducing the network’s parameter count and enhancing real-time performance.A pyramid pooling layer is integrated before the fully connected layer to enable the network to process input SW of varying sizes,thus enhancing scalability.During network training,adaptive moment estimation is employed as the optimizer,allowing the network to dynamically adjust the learning rate and accelerate convergence.A comprehensive comparison between the proposed jamming recognition network and six other models is conducted,along with Ablation Experiments(AE)based on numerical simulations.Simulation results demonstrate that the proposed method based on WPD and enhanced deep learning achieves high-precision recognition of various jamming patterns while maintaining a favorable balance among prediction accuracy,network complexity,and prediction time. 展开更多
关键词 Wavelet packet decomposition Improved deep learning Spectrogram waterfall Pyramid pooling Jamming recognition
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Detection and Diagnosis of Urban Rail Vehicle Auxiliary Inverter Using Wavelet Packet and RBF Neural Network 认领 引用 被引量：2
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作者 Guangwu Liu Jing Long +3 位作者 Lingzhi Yang Zhaoyi Su Dechen Yao Xiangli Zhong 《Journal of Intelligent Learning Systems and Applications》 2013年第4期211-215,共5页
This study concerns with fault diagnosis of urban rail vehicle auxiliary inverter using wavelet packet and RBF neural network. Four statistical features are selected: standard voltage signal, voltage fluctuation signa... This study concerns with fault diagnosis of urban rail vehicle auxiliary inverter using wavelet packet and RBF neural network. Four statistical features are selected: standard voltage signal, voltage fluctuation signal, impulsive transient signal and frequency variation signal. In this article, the original signals are decomposed into different frequency subbands by wavelet packet. Next, an automatic feature extraction algorithm is constructed. Finally, those wavelet packet energy eigenvectors are taken as fault samples to train RBF neural network. The result shows that the RBF neural network is effective in the detection and diagnosis of various urban rail vehicle auxiliary inverter faults. 展开更多
关键词 Fault Diagnosis Urban Rail Vehicle Auxiliary Inverter Wavelet Packet RBF Neural Network
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Time-dependent quantum wave packet simulation for strong laser-induced molecular dynamics in multiple electronic states of H2 molecules 认领 引用
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作者 Jin-Peng Ma Xiao-Qing Hu +1 位作者 Yong Wu Jian-Guo Wang 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第10期149-157,共9页
We present a fully time-dependent quantum wave packet evolution method for investigating molecular dynamics in intense laser fields.This approach enables the simultaneous treatment of interactions among multiple elect... We present a fully time-dependent quantum wave packet evolution method for investigating molecular dynamics in intense laser fields.This approach enables the simultaneous treatment of interactions among multiple electronic states while simultaneously tracking their time-dependent electronic,vibrational,and rotational dynamics.As an illustrative example,we consider neutral H2molecules and simulate the laser-induced excitation dynamics of electronic and rotational states in strong laser fields,quantitatively distinguishing the respective contributions of electronic dipole transitions(within the classical-field approximation)and non-resonant Raman processes to the overall molecular dynamics.Furthermore,we precisely evaluate the relative contributions of direct tunneling ionization from the ground state and ionization following electronic excitation in the strong-field ionization of H2.The developed methodology shows strong potential for performing high-precision theoretical simulations of electronic-vibrational-rotational state excitations,ionization,and dissociation dynamics in molecules and their ions under intense laser fields. 展开更多
关键词 time-dependent quantum wave packet evolution method laser-induced excitation dynamics electronic dipole transitions non-resonant Raman processes direct tunneling ionization ionization following electronic excitation
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Forecasting electricity prices in the spot market utilizing wavelet packet decomposition integrated with a hybrid deep neural network 认领 引用 被引量：1
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作者 Heping Jia Yuchen Guo +5 位作者 Xiaobin Zhang Qianxin Ma Zhenglin Yang Yaxian Zheng Dan Zeng Dunnan Liu 《Global Energy Interconnection》 EI CSCD 2025年第5期874-890,共17页
Accurate forecasting of electricity spot prices is crucial for market participants in formulating bidding strategies.However,the extreme volatility of electricity spot prices,influenced by various factors,poses signif... Accurate forecasting of electricity spot prices is crucial for market participants in formulating bidding strategies.However,the extreme volatility of electricity spot prices,influenced by various factors,poses significant challenges for forecasting.To address the data uncertainty of electricity prices and effectively mitigate gradient issues,overfitting,and computational challenges associated with using a single model during forecasting,this paper proposes a framework for forecasting spot market electricity prices by integrating wavelet packet decomposition(WPD)with a hybrid deep neural network.By ensuring accurate data decomposition,the WPD algorithm aids in detecting fluctuating patterns and isolating random noise.The hybrid model integrates temporal convolutional networks(TCN)and long short-term memory(LSTM)networks to enhance feature extraction and improve forecasting performance.Compared to other techniques,it significantly reduces average errors,decreasing mean absolute error(MAE)by 27.3%,root mean square error(RMSE)by 66.9%,and mean absolute percentage error(MAPE)by 22.8%.This framework effectively captures the intricate fluctuations present in the time series,resulting in more accurate and reliable predictions. 展开更多
关键词 Electricity price forecasting Long and short-term memory Hybrid deep neural network Wavelet packet decomposition Temporal neural network
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Configuration for Predicting Travel-Time Using Wavelet Packets and Support Vector Regression 认领 引用 被引量：1
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作者 Adeel Yusuf Vijay K. Madisetti 《Journal of Transportation Technologies》 2013年第3期220-231,共12页
Travel-time prediction has gained significance over the years especially in urban areas due to increasing traffic congestion. In this paper, the basic building blocks of the travel-time prediction models are discussed... Travel-time prediction has gained significance over the years especially in urban areas due to increasing traffic congestion. In this paper, the basic building blocks of the travel-time prediction models are discussed, with a small review of the previous work. A model for the travel-time prediction on freeways based on wavelet packet decomposition and support vector regression (WDSVR) is proposed, which used the multi-resolution and equivalent frequency distribution ability of the wavelet transform to train the support vector machines. The results are compared against the classical support vector regression (SVR) method. Our results indicated that the wavelet reconstructed coefficient when used as an input to the support vector machine for regression performed better (with selected wavelets only), when compared with the support vector regression model (without wavelet decomposition) with a prediction horizon of 45 minutes and more. The data used in this paper was taken from the California Department of Transportation (Caltrans) of District 12 with a detector density of 2.73, experiencing daily peak hours except most weekends. The data was stored for a period of 214 days accumulated over 5-minute intervals over a distance of 9.13 miles. The results indicated MAPE ranging from 12.35% to 14.75% against the classical SVR method with MAPE ranging from 12.57% to 15.84% with a prediction horizon of 45 minutes to 1 hour. The basic criteria for selection of wavelet basis for preprocessing the inputs of support vector machines are also explored to filter the set of wavelet families for the WDSVR model. Finally, a configuration of travel-time prediction on freeways is presented with interchangeable prediction methods. 展开更多
关键词 Travel-Time Prediction Wavelet Packets Support Vector Regression Advanced Traveler Information System
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