检索结果-内蒙古大学图书馆

Detection of chemical oxygen demand in water based on UV absorption spectroscopy and PSO-LSSVM algorithm

Optoelectronics Letters 2022年第4期18卷 251-256页

作者： ZHOU Kunpeng LIU Zhiyang CONG Menglong MAN Shanxin College of Engineering Intelligent Manufacturing Technology Key LaboratoryInner Mongolia Minzu UniversityTongliao 028000China Jingzhou University Jingzhou 434000China Alxa League Meteorological Bureau Alxa 750300China

A method of detecting chemical oxygen demand(COD) of water based on ultraviolet(UV) absorption spectra is proposed. The modeling and analysis of the standard samples and the actual water samples are carried out respectively. For the standard solution samples, the univariate linear models based on single wavelengths and the partial least square(PLS) model based on synergy interval partial least square(Si PLS) and moving window partial least square(MWPLS) are established. For the actual water samples, different pre-processing methods are used. Si PLS and MWPLS are used to select the characteristic bands. The least squares support vector machine algorithm optimized by particle swarm optimization(PSO-LSSVM) algorithm is used to establish the prediction model, and the prediction results of various models are compared. The results show that the optimal model is PSO-LSSVM which uses Si PLS to select the characteristic bands of the first derivative spectra(preprocessing method). The determination coefficient of the prediction set is 0.963 1, and the root mean square error of prediction(RMSEP) is 2.225 4 mg/L. PSO-LSSVM algorithm has good prediction performance for the analysis of COD in actual water samples by UV spectra. This paper provides a new design idea for the research and development of water quality detection optical sensor.

关键词： algorithm prediction bands

来源：评论

学校读者我要写书评

暂无评论

Efficient Parabolic Optimisation Algorithm for Adaptive VQE Implementations

引用

SN Computer Science 2022年第6期3卷 1-10页

作者： Armaos, V. Badounas, Dimitrios A. Deligiannis, Paraskevas Lianos, Konstantinos Yordanov, Yordan S. Laboratory of Atmospheric Physics Department of Physics University of Patras Patras Greece Department of Material Science University of Patras Patras Greece Department of Experimental Physics CERN European Organization for Nuclear Research Geneva Switzerland Department of Computer Engineering & Informatics University of Patras Patras Greece Cavendish Laboratory Department of Physics University of Cambridge Cambridge CB3 0HE United Kingdom

Computational chemistry is one of the most promising applications of quantum computing, mostly thanks to the development of the Variational Quantum Eigensolver (VQE) algorithm. VQE is being studied extensively and numerous optimisations of VQE’s sub-processes have been suggested, including the encoding methods and the choice of excitations. Here we focus on a usually overlooked component of VQE, which is the choice of the classical optimisation algorithm. We introduce the parabolic optimiser that we designed specifically for the needs of VQE. We then continue to benchmark the parabolic optimiser against COBYLA for various implementations of VQE. We found that the parabolic optimizer consistently outperforms traditional optimization algorithms in multiple VQE implementations. Specifically, we show that the parabolic optimizer requires fewer quantum experiments compared to COBYLA while producing circuits with a similar amount of CNOTs. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Computational chemistry optimization method Quantum computation Variational quantum eigensolver

来源：评论

学校读者我要写书评

暂无评论

Reinforcement learning-based three-dimensional cooperative guidance law

Reinforcement learning-based three-dimensional cooperative g...

引用

Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Zhen Gu Zeqi Zhang Honglong Kang Jianfeng Li Keyuan Yue Shenmin Song Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

An innovative three-dimensional cooperative guidance law for striking stationary target, based on proximal policy optimization (PPO), is introduced. This novel guidance law directly correlates engagement state information with the navigation ratio of proportional navigation guidance (PNG). Initially, the cooperative homing guidance problem is transformed into a Markov decision process, and the reward function incorporates considerations for the zero-effort-miss (ZEM) and the consensus error of time-to-go. Subsequently, the cooperative homing guidance problem is transposed into the framework of reinforcement learning (RL). Ultimately, the effectiveness of the cooperative homing guidance solution is validated through numerical simulations, encompassing agent model training and Monte Carlo cases.

关键词： Training Monte Carlo methods Navigation Markov decision processes Reinforcement learning Numerical simulation Robustness

来源：评论

学校读者我要写书评

暂无评论

Coherency-Constrained Spectral Clustering for Proactive Load Shedding: A Tri-Level Model

Coherency-Constrained Spectral Clustering for Proactive Load...

引用

IEEE General Meeting Power& Energy Society

作者： Mario D. Baquedano-Aguilar Arturo Bretas Sean Meyn Department of Electrical & Computer Engineering University of Florida Gainesville FL USA Distributed Systems Group Pacific Northwest National Laboratory Richland WA USA G2Elab Grenoble INP CNRS Université Grenoble Alpes Grenoble France

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

In low-inertia power grids, traditional load-shedding methods can be ineffective, causing instability and unnecessary grid islanding. This work introduces a distributed tri-level optimization model for proactive load shedding to prevent grid islanding considering generator coherency identification. Preventing islanding is crucial because it reduces the need for additional load shedding and transmission line tripping, thereby maintaining frequency stability. This is especially important in systems heavily dependent on non-dispatchable resources like wind and solar. The model employs generator coherency identification through spectral clustering using synchronizing coefficients. The results are then used as constraints in a dynamic graph based on power flow measurements to identify coherent areas for load shedding under highly stressed conditions. This approach offers practical applications and holds promise for real-world use.

关键词： Wind Islanding Power transmission lines Load shedding Power system stability Transmission line measurements Generators Stability analysis Load modeling Stress measurement

来源：评论

学校读者我要写书评

暂无评论

Tuning PSO Parameters For the Path Planning Problem

Tuning PSO Parameters For the Path Planning Problem

引用

Information Technologies & Smart Industrial systems (ITSIS), IEEE

作者： Achref Gadhgadhi Yassine Hachaïchi Hassen Zairi Research Laboratory SE& ICT ENICarthage Tunisia

Particle swarm optimization (PSO) is one of the most used metaheuristic algorithms in the field of robotics path planning, because of its simplicity to implement and to its high efficiency in resolving such a problem. In this paper we propose a parameter tuning approach for PSO algorithm to enhance its effectiveness, in order to obtain a reasonable solution in a space with obstacles. We will try to have the best quality solution, the shortest path avoiding obstacles in our case, with the least cost, which is the number of iterations and the number of particles.

关键词： Search methods Metaheuristics Force Linear programming Path planning Particle swarm optimization Tuning

来源：评论

学校读者我要写书评

暂无评论

Research on Automatic Configuration modelling of Marine Transmission System 5

Research on Automatic Configuration Modelling of Marine Tran...

引用

5th International Conference on Mechatronics and Computer Technology Engineering, MCTE 2022

作者： Dong, Wentao Yang, XiaoHui Han, Bing Qiang, BaoBao Shaanxi Engineering Laboratory for Transmissions and Controls Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781510661073

The paper takes marine transmission as the research object, generates the schemes of transmission automatically based on graph theory and maps the selected transmission graph theory model scheme into a more intuitive transmission configuration for subsequent design. The main contents of this article are as follows: Extracting the knowledge from existing Marine transmission data;generating the graph theory models and numbering the vertexes and edges of each model;converting graph-theoretic models into mathematical language for processing by computers;formulating screening rules for graph model schemes;listing the screened graph model solutions and mapping the selected transmission graph theory model scheme into transmission configuration. By using the methods described in this paper, designers can achieve a shortened design cycle for marine transmissions and improve design efficiency. © 2022 SPIE.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Robust Beamforming for RIS-aided Communications: Gradient-based Manifold Meta Learning

arXiv

引用

arXiv 2024年

作者： Zhu, Fenghao Wang, Xinquan Huang, Chongwen Yang, Zhaohui Chen, Xiaoming Alhammadi, Ahmed Zhang, Zhaoyang Yuen, Chau Debbah, Mérouane College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China Hangzhou310027 China Technology Innovation Institute Abu Dhabi Masdar City9639 United Arab Emirates School of Electrical and Electronics Engineering Nanyang Technological University Singapore639798 Singapore KU 6G Research Center Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates

Reconfigurable intelligent surface (RIS) has become a promising technology to realize the programmable wireless environment via steering the incident signal in fully customizable ways. However, a major challenge in RIS-aided communication systems is the simultaneous design of the precoding matrix at the base station (BS) and the phase shifting matrix of the RIS elements. This is mainly attributed to the highly non-convex optimization space of variables at both the BS and the RIS, and the diversity of communication environments. Generally, traditional optimization methods for this problem suffer from the high complexity, while existing deep learning based methods are lacking in robustness in various scenarios. To address these issues, we introduce a gradient-based manifold meta learning method (GMML), which works without pre-training and has strong robustness for RIS-aided communications. Specifically, the proposed method fuses meta learning and manifold learning to improve the overall spectral efficiency, and reduce the overhead of the high-dimensional signal process. Unlike traditional deep learning based methods which directly take channel state information as input, GMML feeds the gradients of the precoding matrix and phase shifting matrix into neural networks. Coherently, we design a differential regulator to constrain the phase shifting matrix of the RIS. Numerical results show that the proposed GMML can improve the spectral efficiency by up to 7.31%, and speed up the convergence by 23 times faster compared to traditional approaches. Moreover, they also demonstrate remarkable robustness and adaptability in dynamic settings. Copyright © 2024, The Authors. All rights reserved.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Uplink Power Control for Extremely Large-Scale MIMO with Multi-Agent Reinforcement Learning and Fuzzy Logic

arXiv

引用

arXiv 2023年

作者： Liu, Ziheng Liu, Zhilong Zhang, Jiayi Xiao, Huahua Ai, Bo Ng, Derrick Wing Kwan School of Electronic and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE Corporation Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia

In this paper, we investigate the uplink transmit power optimization problem in cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Instead of applying the traditional methods, we propose two signal processing architectures: the centralized training and centralized execution with fuzzy logic as well as the centralized training and decentralized execution with fuzzy logic, respectively, which adopt the amalgamation of multi-agent reinforcement learning (MARL) and fuzzy logic to solve the design problem of power control for the maximization of the system spectral efficiency (SE). Furthermore, the uplink performance of the system adopting maximum ratio (MR) combining and local minimum mean-squared error (L-MMSE) combining is evaluated. Our results show that the proposed methods with fuzzy logic outperform the conventional MARL-based method and signal processing methods in terms of computational complexity. Also, the SE performance under MR combining is even better than that of the conventional MARL-based method. Copyright © 2023, The Authors. All rights reserved.

关键词： Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

Multi-View 2D to 3D Lifting Video-Based optimization: A Robust Approach for Human Pose Estimation with Occluded Joint Prediction*

Multi-View 2D to 3D Lifting Video-Based Optimization: A Robu...

引用

IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Daniela Rato Miguel Oliveira Vítor Santos Angel Sappa Bogdan Raducanu Department of Mechanical Engineering Institute of Electronics and Informatics Engineering of Aveiro Campus Universitário de Santiago University of Aveiro Aveiro Portugal LASI - Intelligent System Associate Laboratory Portugal Edificio O Computer Vision Center Barcelona Spain ESPOL Polytechnic University Guayaquil Ecuador

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In the context of robotics, accurate 3D human pose estimation is essential for enhancing human-robot collaboration and interaction. This manuscript introduces a multi-view 2D to 3D lifting optimization-based method designed for video-based 3D human pose estimation, incorporating temporal information. Our technique addresses key challenges, namely robustness to 2D joint detection error, occlusions, and varying camera perspectives. We evaluate the performance of the algorithm through extensive experiments on the MPI-INF-3DHP dataset. Our method demonstrates very good robustness up to 25 pixels of 2D joint error and shows resilience in scenarios involving several occluded joints. Comparative analyses against existing 2D to 3D lifting and multi-view methods showcase good performance of our approach.

关键词： Three-dimensional displays Accuracy Pose estimation Robot vision systems Human-robot interaction Cameras Robustness Intelligent robots Resilience

来源：评论

学校读者我要写书评

暂无评论

Studying the Performance of a Quasi-Zero Stiffness Magnetic Constant Force Mechanism

Studying the Performance of a Quasi-Zero Stiffness Magnetic ...

引用

International Conference on optimization of Electrical and Electronic Equipment, OPTIM

作者： Gozde Sivka Jonathan Z. Bird Laboratory for Magnetomechanical Energy Conversion and Control Portland State University Portland Oregon USA

This article studies the constant force characteristics of a new type of adjustable force quasi-zero stiffness mechanism that creates a constant force over a 40 mm stroke length. 3-D finite element analysis modelling is used to determine the geometric parameters that improve force uniformity. The presented constant force mechanism is shown to be capable of operating with a 7.0J/kg energy density and a peak magnetic shear stress of 101kN/m 2 . The constant force magnitude can be adjusted by rotating the inner rotor relative to the outer translator, the force adjustment torque is maximum when the force is zero, and when the translator is centered the torque required to adjust the force is zero. Both a 4 pole-pair and an 8 pole-pair magnetic constant force mechanism is studied.

关键词：

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：