检索结果-内蒙古大学图书馆

Kleinheubach Conference

作者： Nils Kielian Theory of electrical engineering and computational electromagnetics Helmut Schmidt University / University of the Federal Armed Forces Hamburg Germany

ISBN: (数字)9783948571122

ISBN: (纸本)9798331541774

This work presents an algorithm that can be used to numerically calculate force and torque on which dielectrophoresis and electrorotation are based and approximate the resulting translation and rotation of biological cells in heterogenous, alternating electric fields. A two-stage simulation on different levels is used for calculation, which is based on the finite element method. A 3D cell model with arbitrary geometry is utilized. Due to considerable differences in scale in the cell model, a domain decomposition algorithm with overlapping auxiliary domains for coupling is applied. An electro-quasistatic model equation is used to determine the electrical scalar potential inside the cell model. Based on this, force and torque can be calculated and the equations of motion can be approximated using a second-order time stepping method. The algorithm is validated with analytical reference models and shows a high level of accuracy.

关键词： Torque Biological system modeling Force Clustering algorithms approximation algorithms Mathematical models Numerical models Dielectrophoresis Electric fields Biological cells

来源：评论

学校读者我要写书评

暂无评论

MIST: An Efficient Approach for Software-Defined Multicast in Wireless Mesh Networks

MIST: An Efficient Approach for Software-Defined Multicast i...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Rupei Xu Yuming Jiang Jason P. Jue The University of Texas at Dallas USA Norwegian University of Science and Technology Norway

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

Multicasting is a vital information dissemination technique in Software-Defined Networking (SDN). With SDN, a multicast service can incorporate network functions implemented at different nodes, which is referred to as software-defined multicast. Emerging ubiquitous wireless networks for 5G and Beyond (B5G) inherently support multicast. However, the broadcast nature of wireless channels, especially in dense deployments, leads to neighborhood interference as a primary system degradation factor, which introduces a new challenge for software-defined multicast in wireless mesh networks. To tackle this, this paper introduces an innovative approach, based on the idea of minimizing both the total length cost of the multicast tree and the interference at the same time. Accordingly, a novel bicriteria optimization problem is formulated–Minimum Interference Steiner Tree (MIST), which is the edge-weighted variant of the vertex-weighted secluded Steiner tree problem [1]. To solve the bicriteria problem, instead of resorting to heuristics, this paper employs an innovative approach that is an approximate algorithm for MIST but with guaranteed performance. Specifically, the approach exploits the monotone submodularity property of the interference metric and identifies Pareto optimal solutions for MIST, then converts the problem into the submodular minimization under Steiner tree constraints, and designs a two-stage relaxation algorithm. Simulation results demonstrate and validate the performance of the proposed algorithm.

关键词： Steiner trees Wireless communication Multicast algorithms Simulation Wireless mesh networks Interference Pareto optimization approximation algorithms Ubiquitous computing Software defined networking

来源：评论

学校读者我要写书评

暂无评论

Tree-Packing Revisited: Faster Fully Dynamic Min-Cut and Arboricity

arXiv

引用

arXiv 2024年

作者： de Vos, Tijn Christiansen, Aleksander B.G. Gray, Corey Manning, Tricia Society for Industrial and Applied Mathematics United States

关键词： approximation algorithms

来源：评论

学校读者我要写书评

暂无评论

Real-time Planning of Target Speed for Automatic Train Operation Based on Robust Optimization

Real-time Planning of Target Speed for Automatic Train Opera...

引用

Conference on Vehicle Control and Intelligence (CVCI)

作者： Jiyuan Li Hongyi Li Weijia Huang Yuming Shi Qinyue Zhu School of Electronics and Information Engineering Tongji University Shanghai China

ISBN: (数字)9798331504892

ISBN: (纸本)9798331504908

To address the issue of passenger load uncertainty affecting the normal operation of urban rail trains, this paper proposes a real-time target speed planning algorithm for automatic train operation based on robust optimization. First, a reinforcement learning model of train operation is constructed, with reward design taking into account the robust optimization of performance evaluation indices and manipulation strategies. Second, reward shaping techniques are used to improve the convergence performance of model training. The value function is estimated through a Deep Q-Network (DQN), enabling real-time response to changes in train load. Finally, simulation cases verify the effectiveness of the algorithm. Results show that the proposed algorithm can achieve real-time calculation of the target speed, and the generated speed profiles have better robustness and lower energy consumption compared to the traditional DQN algorithm.

关键词： Training Energy consumption Uncertainty Reinforcement learning approximation algorithms Real-time systems Robustness Planning Optimization Load modeling

来源：评论

学校读者我要写书评

暂无评论

Computational Moment Control of Ensemble Systems

Computational Moment Control of Ensemble Systems

引用

IEEE Conference on Decision and Control

作者： Yuan-Hung Kuan Wei Zhang Jr-Shin Li Department of Electrical and Systems Engineering Washington University in St. Louis St. Louis MO

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

Finely manipulation of a large population of structurally identical dynamical systems exhibiting different dynamics, referred to as an ensemble system, is a crucial task arising from various emerging applications across diverse disciplines. A significant challenge in controlling this class of systems is the inherent scalability issue, involving computational complexity and efficiency, due to the massive size. To overcome this bottleneck, in this paper, we introduce a moment transform that maps ensemble systems defined on the space of continuous functions to their associated moment systems defined on the space of moment sequences. This transformation enables the approximation of the dynamics of an ensemble system in terms of a finite-dimensional truncated moment system. We leverage this reduction to facilitate control design for ensemble systems by developing an iterative computational optimal control algorithm with convergence guarantees. The efficiency and performance of the proposed algorithm are further demonstrated through its application to practical ensemble control problems encountered in physics and robotics.

关键词： Heuristic algorithms Scalability Optimal control Transforms Aerospace electronics approximation algorithms Sampling methods Robots Physics Convergence

来源：评论

学校读者我要写书评

暂无评论

Bilinear Hybrid Expectation Maximization and Expectation Propagation for Semi-Blind Channel Estimation

Bilinear Hybrid Expectation Maximization and Expectation Pro...

引用

European Signal Processing Conference (EUSIPCO)

作者： Zilu Zhao Dirk Slock Communication Systems Department EURECOM France

ISBN: (数字)9789464593617

ISBN: (纸本)9798331519773

This paper discusses channel estimation during uplink transmission in Cell-Free (CF) Massive MIMO (MaMIMO) systems. We model the problem as a semi-blind estimation problem with independent and identically distributed (i.i.d.) Gaussian input. Two hybrid Expectation Maximization (EM) and Expectation Propagation (EP) algorithms are proposed to improve convergence behavior. The first algorithm, EM-EP, adopts a vector-level EP approach by treating the per-user channel coefficients and data sequence as EP variables. To make the algorithm tractable, we use the central limit theorem (CLT) to approximate the interference terms and employ EM to construct a majorizer function for the likelihood of the received data, leading to majorization minimization. To further enhance convergence behavior, we propose a matrix-level loop-free EM-EP algorithm. In this algorithm, we treat the channel coefficients and data sequences corresponding to users using the same pilot as EP variables. This method is an alternating minimization algorithm, ensuring convergence. Our simulations verify the effectiveness of the two proposed algorithms.

关键词： Simulation Signal processing algorithms Channel estimation Massive MIMO Interference Signal processing approximation algorithms Minimization Uplink Convergence

来源：评论

学校读者我要写书评

暂无评论

Unifying Sum Rate Analysis and Optimization of RIS-Assisted MU-MIMO Networks: An Operator-Valued Free Probability Approach

Unifying Sum Rate Analysis and Optimization of RIS-Assisted ...

引用

IEEE International Conference on Communications in China (ICCC)

作者： Siqiang Wang Zhong Zheng Jing Guo Zesong Fei School of Information and Electronics Beijing Institute of Technology Beijing China National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing

ISBN: (数字)9798350378412

ISBN: (纸本)9798350378429

The fundamental performance limit of wireless systems is closely related to the transmission strategy of the transceivers as well as the wireless channels. As the channels are determined by the intrinsic characteristics of the environments, traditional system design is transceiver-centric, which adapts the transmit signals to the environments. Sharply different from the transceiver-centric design, by introducing the reconfigurable intelligent surface (RIS) into wireless systems, both the transceivers and the channels can be designed by properly adjusting the deployment of RIS panels as well as the phase-change and amplification of the RIS elements. However, as the RIS induces structural changes to the wireless channels, it is difficult to analyze and optimize the RIS-assisted systems in a unified framework. In this paper, we adopt the operatorvalued free probability theory to analyze the ergodic sum rate of an uplink MU-MIMO communication systems assisted by multiple cascaded RIS panels, where the sum rate is derived for rather generic system configurations, allowing arbitrary number of transceivers’ antennas, number of RIS panels, and a generic fading model. The obtained sum rate expression also enables a unified optimization framework that jointly designs the multi-antenna transceivers and the RIS configurations. Finally, numerical results are provided to verify the accuracy of the derived ergodic sum rate, and to show the performance of the joint optimization algorithms.

关键词： Wireless communication Fading channels Accuracy Reconfigurable intelligent surfaces approximation algorithms Transceivers Numerical models

来源：评论

学校读者我要写书评

暂无评论

Some Notes on the Sample Complexity of Approximate Channel Simulation

Some Notes on the Sample Complexity of Approximate Channel S...

引用

Information Theory Workshops (ISIT-W), IEEE International Symposium on

作者： Gergely Flamich Lennie Wells University of Cambridge Cambridge UK

ISBN: (数字)9798350348446

ISBN: (纸本)9798350348453

Channel simulation algorithms can efficiently encode random samples from a prescribed target distribution $Q$ and find applications in machine learning-based lossy data compression. However, algorithms that encode exact samples usually have random runtime, limiting their applicability when a consistent encoding time is desirable. Thus, this paper considers approximate schemes with a fixed runtime instead. First, we strengthen a result of Agustsson and Theis [1] and show that there is a class of pairs of target distribution $Q$ and coding distribution $P$ , for which the runtime of any approximate scheme scales at least super-polynomially in $D_{\infty}[Q\Vert P]$ . We then show, by contrast, that if we have access to an unnormalised Radon-Nikodym derivative $r\propto dQ/dP$ and knowledge of $D_{\text{KL}}[Q\Vert P]$ , we can exploit global-bound, depth-limited A* coding [2] to ensure $D_{TV}[Q\Vert P]\leq\epsilon$ and maintain optimal coding performance with a sample complexity of only $\exp_{2}((D_{\text{KL}}[Q\Vert P]+o(1))/\epsilon)$ .

关键词： Runtime Machine learning algorithms Limiting Conferences Data compression approximation algorithms Encoding

来源：评论

学校读者我要写书评

暂无评论

Enhancing RIS-Aided OTFS-NOMA Communications through Phase Shift Optimization

Enhancing RIS-Aided OTFS-NOMA Communications through Phase S...

引用

Communications and Networking (MECOM), IEEE Middle East Conference on

作者： Aoying Li Wei Liang Lixin Li Wensheng Lin Xu Li Baoguo Wei School of Electronic Information Collage Northwestern Polytechnical University China Research & Development Institute of Northwestern Polytechnical University in Shenzhen China

ISBN: (数字)9798350376715

ISBN: (纸本)9798350376722

Non-orthogonal multiple access (NOMA) and orthogonal time frequency space (OTFS) are two important technologies of the sixth generation mobile communication (6G) networks for the sake of enhancing spectral efficiency, and a much more reliable and low-latency integration system is developed, namely OTFS-NOMA networks. In this paper, the reconfigurable intelligent surfaces (RIS) aided OTFS-NOMA networks are concived, and the comperhensive collbrative optimization problem of the transmission rate and phase configurations is established. In order to resolve this objective function, a heuristic phase reconstruction arrangment (HPRA) algorithm is proposed, aim to maximize the overall system’s transmission rate while satisfy the minimum rate requirement as well as phase *** addition to phase optimization, we have integrated a power optimization approach into the HPRA algorithm, which further optimizes system performance by optimizing the power coefficient first and then putting the resulting coefficient into the HPRA algorithm. The HPRA algorithm utilizes penalty function techniques to effectively handle minimum rate constraints. Through an iterative search, the algorithm determines the approximate optimal phase configuration that maximizes the transmission *** on the simulation experiments, the effectiveness of the proposed algorithm is verified. Furthermore, by comparing with the conventional methods, our HPRA algorithm could significantly improve the overall transmission rate while ensuring the constraints.

关键词： NOMA Time-frequency analysis Spectral efficiency System performance Heuristic algorithms Simulation Reconfigurable intelligent surfaces approximation algorithms Reliability Optimization

来源：评论

学校读者我要写书评

暂无评论

Deep Reinforcement Learning-Based (DRLB) Optimization for Autonomous Driving Vehicle Path Planning

Deep Reinforcement Learning-Based (DRLB) Optimization for Au...

引用

Electronics and Sustainable Communication Systems (ICESC), 2020 International Conference on

作者： Hulin Jin Zhiran Jin Yong-Guk Kim School of Computer Science and Technology Anhui University Hefei China Foothill Preparatory School Temple City California USA Department of Computer Engineering Sejong University seoul South Korea

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

This comprehensive study presents a novel DRLB assisted path planning (PP) algorithm for the autonomous driving (AD) vehicles with the novel designed deep reinforcement learning (DRL). The proposed algorithm addresses the challenges faced by traditional path planning methods, such as large Q-table sizes, high computational complexity, and convergence problems. Unlike conventional approaches that rely on predefined environment maps or potential field methods, the proposed algorithm uses DRL to learn optimal paths in dynamic and complex environments. The algorithm uses a grid map representation for environmental modeling, where obstacles are enclosed in rectangular frames to ensure path accuracy and safety. Additionally, integrating an artificial potential field approach (APFA) helps guide the vehicle to the target while avoiding obstacles. The algorithm uses a novel Q-learning algorithm to approximate the value function between the vehicle state and action, which enables efficient path planning. The algorithm is visually evaluated through extensive simulation tests, demonstrating its effectiveness and superiority over traditional methods from the perspectives of the accuracy and stability.

关键词： Accuracy Q-learning Heuristic algorithms approximation algorithms Path planning Stability analysis Robustness Safety Vehicle dynamics Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：