检索结果-内蒙古大学图书馆

Searching for an Accurate Robot Calibration via Improved Levenberg–Marquardt and Radial Basis Function System

Journal of Field Robotics 2025年第0期

作者： Li, Zhibin Deng, Xun Chen, Tinghui Yang, Yuhang Chen, Linlin Yang, Xiwen Hu, Zhenzhen Hu, Lun Hu, Pengwei Li, Shuai Luo, Xin Xinjiang Technical Institute of Physics & Chemistry Chinese Academy of Sciences Urumqi China School of Software Engineering Chengdu University of Information Technology Chengdu China Dazhou Key Laboratory of Government Data Security Sichuan University of Arts and Science Dazhou China School of Software Engineering Xinjiang University Urumqi China Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland VTT-Technical Research Centre of Finland Oulu Finland College of Computer and Information Science Southwest University Chongqing China

Robots are frequently utilized in manufacturing, aviation, and other industries, which enhance industrial production efficiency and quality. Specifically, robots perform high-precision tasks like welding, assembly and material handling, which reduce the intensity of manual labor in factories. In the logistics field, robots automatically sort and deliver goods, thereby speeding up supply chain operations. However, the prolonged operation of robots suffers from a decline in positioning accuracy, which makes them unable to satisfy task requirements. To address this challenging issue, this study designs an efficient calibration system integrating the Levenberg–Marquardt algorithm with fuzzy proportion integration differentiation controller and radial basis function neural network. The innovations of this method include: (1) integrating the fuzzy proportion integration differentiation controller into the updating rules of Levenberg–Marquardt algorithm, which further enhances the identification performance of kinematic errors;(2) adopting the radial basis function neural network to handle the robot dynamic errors, which addresses the complexity of dynamic error sources. Extensively experimental robot positioning points are gathered on an HSR JR680 robot, and then experimental validations are conducted by using the designed calibration system. The experiments indicate that the developed algorithm outperforms these existing advanced algorithms. © 2025 Wiley Periodicals LLC.

关键词： Radial basis function networks

来源：评论

学校读者我要写书评

暂无评论

Feature Recognition for Fecal Occult Blood Using Convolutional Neural Networks

Feature Recognition for Fecal Occult Blood Using Convolution...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Yi-Chuan Lee Tin-Yu Wu Ying-Ting Lu Fu-Jie Tey Deng-Ying Liu Yu-Xiu Lin Department of Biotechnology and Animal Science National Ilan University Yilan Taiwan R.O.C Department of Management Information Systems National Pingtung University of Science and Technology Pingtung Taiwan R.O.C Department of Computer Science and Information Engineering National Ilan University Yilan Taiwan R.O.C Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan R.O.C

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

The incidence of colorectal cancer has been ranked number one in Taiwan for 10 consecutive years and the number of new cases continue to increase every year. According to health insurance data, the medical care costs attributable to colorectal cancer is estimated to be over NT$11 billion per year. However, early colorectal cancer may have no symptoms until it is detected by regular screening. All cancers start when damage to genes in healthy cells cause gene mutations. If damaged DNA cannot be repaired, abnormal cells grow and multiply quickly. Common colorectal cancer screening methods include the chemical fecal occult blood test (guaiac-based fecal occult blood test, known as g-FOBT) and the colonoscopy. The procedure for colonoscopy, however, is always considered unacceptable and intolerable, making early detection and treatment of colorectal cancer even more difficult. With the rapid advancement in genome sequencing technologies and the cross application of bioinformatics and big data science, the medical model of precision medicine, or personalized medicine, has emerged recently. This paper uses the Convolutional Neural Networks (CNN) to integrate spectral technology with blood feature recognition, and presents a home testing kit for quick and effective detection of fecal occult blood in complex environments.

关键词： Deep learning Precision medicine Colonoscopy Colorectal cancer Transforms Feature extraction Convolutional neural networks Bioinformatics Blood Testing

来源：评论

学校读者我要写书评

暂无评论

Deliverability analysis of greedy routing in the spherical cap 3D sensor networks

引用

science China(Information sciences) 2013年第7期56卷 52-63页

作者： HOU MengShu YANG YaLing LI YuJun School of Computer Science and Engineering University of Electronic Science and Technology of China Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University

For 3D sensor networks to monitor the ocean, forest and aerosphere, etc., sensors can forward their data to the base station by greedy routing. It is critical to quantitatively greedy routing’s deliverability for evaluating network’s functionality and performance. The probability that all sensors can successfully send their data to the base station by greedy routing is usually modeled as the probability of guaranteed delivery. For a typical spherical cap 3D sensor network deployment scenario where nodes follow a homogeneous Poisson point process, the relationship between the sensor transmission radius and the probability of guaranteed delivery is studied, and a tight analytical upper bound on the sensor transmission radius to ensure the designed deliverability probability is derived in this paper. The correctness and tightness of the derived upper bound are verified by extensive simulations.

关键词： 3D sensor network greedy routing deliverability probability critical transmission radius

来源：评论

学校读者我要写书评

暂无评论

RDVC: Efficient Deep Video Compression with Regulable Rate and Complexity Optimization

引用

IEEE Transactions on Multimedia 2025年

作者： Wei, Xiaojie Lin, Jielian Xu, Jiawei Gao, Wei Zhao, Tiesong Putian University School of Mechanical Electrical & Information Engineering PutianFujian China Shenzhen Graduate School Peking University School of Electronic and Computer Engineering Shenzhen518055 China Fuzhou University Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering Fuzhou350108 China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou350108 China Tsinghua University Department of Electronic Engineering Beijing100084 China

Deep video coding has paved a way to break through the performance bottleneck of reigning hybrid video coding. However, unlike hybrid video codecs, existing deep video codecs cannot offer both flexible rates and regulable complexities within one single codec, which limits their applications. In this paper, we propose a Regulable Deep Video Codec (RDVC) to address the above issue. First, we propose an Adaptive Feature Compression (AFC) network that generates variable rates while ensuring Rate-Distortion (RD) performance. The network introduces a two-stage coarse-to-fine rate adjustment that can be controlled by a user-specified rate level. Second, we propose a Spatio-Temporal Feature Propagation (STFP) mechanism to provide high-quality reference information for AFC process. Third, we also utilize slimmable convolutional components in our framework to adjust decoding complexity constrained by user configuration. Experimental results demonstrate that RDVC can adjust the codec structure flexibly according to different user configurations while maintaining advanced performance. On average, it reduces the bit-per-pixel (bpp) by 9.35%/58.12% while maintaining the same PSNR/MS-SSIM as the reference software VTM-13.2. Sourcecode is available at: https://***/WXJ0001/RDVC. © 2025 IEEE.

关键词： Signal distortion

来源：评论

学校读者我要写书评

暂无评论

Accurate, scalable, and fully automated inference of species trees from raw genome assemblies using ROADIES

引用

Proceedings of the National Academy of sciences of the United States of America 2025年第19期122卷 e2500553122页

作者： Gupta, Anshu Mirarab, Siavash Turakhia, Yatish Department of Computer Science and Engineering University of California San Diego CA 92093 Department of Electrical and Computer Engineering University of California San Diego CA 92093

Current genome sequencing initiatives across a wide range of life forms offer significant potential to enhance our understanding of evolutionary relationships and support transformative biological and medical applications. Species trees play a central role in many of these applications;however, despite the widespread availability of genome assemblies, accurate inference of species trees remains challenging due to the limited automation, substantial domain expertise, and computational resources required by conventional methods. To address this limitation, we present ROADIES, a fully automated pipeline to infer species trees starting from raw genome assemblies. In contrast to the prominent approach, ROADIES incorporates a unique strategy of randomly sampling segments of the input genomes to generate gene trees. This eliminates the need for predefining a set of loci, limiting the analyses to a fixed number of genes, and performing the cumbersome gene annotation and/or whole genome alignment steps. ROADIES also eliminates the need to infer orthology by leveraging existing discordance-aware methods that allow multicopy genes. Using the genomic datasets from large-scale sequencing efforts across four diverse life forms (placental mammals, pomace flies, birds, and budding yeasts), we show that ROADIES infers species trees that are comparable in quality to the state-of-the-art studies but in a fraction of the time and effort, including on challenging datasets with rampant gene tree discordance and complex polyploidy. With its speed, accuracy, and automation, ROADIES has the potential to vastly simplify species tree inference, making it accessible to a broader range of scientists and applications. Copyright © 2025 the Author(s).

关键词： bioinformatics phylogenetics species tree inference

来源：评论

学校读者我要写书评

暂无评论

IoT-Enabled Predictive Maintenance for Renewable Energy Systems

IoT-Enabled Predictive Maintenance for Renewable Energy Syst...

引用

Multi-Agent Systems for Collaborative Intelligence (ICMSCI), International Conference on

作者： G. Selvan V. Anantha Krishna Thiyagesan M R. Venkatasubramanian Vanitha R Atul Sarojwal Mathiyalagan Sivaramkumar Department of Physics Thanthai Hans Roever College Perambalur Tamil Nadu India Department of Computer Science and Engineering Sridevi Women's Engineering College Hyderabad Telangana India Department of Electrical and Electronics Engineering R.M.K. Engineering College Chennai Tamil Nadu India Department of Electrical and Electronic Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai Tamil Nadu India Department of Electrical and Electronic Engineering Aarupadai Veedu Institute of Technology Vinayaka Mission's Research Foundation Chennai Tamil Nadu India Department of Electrical Engineering FET MJP Rohilkhand University Bareilly Utttar Pradesh India Department of BIOSCIENCES Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

The integration of Internet of Things (IoT) technology into renewable energy systems has revolutionized predictive maintenance, resulting in improved operational efficiency and reduced downtime. This project's objective is to use advanced feature selection, classification, and data preparation techniques to build a robust IoT-enabled predictive maintenance platform. Cleaning and normalizing sensor data is the first step in the proposed procedure to ensure data consistency and integrity. Principal Component Analysis (PCA) reduces dimensionality while maintaining crucial information when choosing features from high-dimensional IoT data streams. For categorization, the Random Forest approach is employed, which provides improved precision and interpretability in determining maintenance requirements. The approach demonstrated outstanding prediction performance and the ability to proactively identify maintenance requirements when validated using real-world statistics from renewable energy installations. The results demonstrate how combining IoT and machine learning may improve system reliability and optimize energy production, leading to smarter, greener energy solutions.

关键词： Renewable energy sources Accuracy Production Feature extraction Maintenance Internet of Things Random forests Streams Principal component analysis Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

LEVINSON ALGORITHM, WOLD DECOMPOSITION, AND SPECTRAL ESTIMATION

引用

SIAM REVIEW 1985年第3期27卷 405-441页

作者： PAPOULIS, A Polytechnic Inst of New York Dep of Electrical Engineering & Computer Science Farmingdale NY Polytechnic Inst of New York Dep of Electrical Engineering & Computer Science Farmingdale NY

Levinson’s algorithm is developed in the context of mean-square estimation and is applied to a variety of topics related to Wiener filtering and spectral estimation. The study includes the innovations approach to prediction theory, Wold’s decomposition, lattice filters, autoregressive processes, the method of maximum entropy, and the general class of extrapolating spectra.

关键词： stochastic processes Levinson’s algorithm prediction theory spectral estimation

来源：评论

学校读者我要写书评

暂无评论

TAO: System for table detection and extraction from PDF documents 29

TAO: System for table detection and extraction from PDF docu...

引用

29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016

作者： Perez-Arriaga, Martha O. Estrada, Trilce Abad-Mota, Soraya Departments of Computer Science and Electrical and Computer Engineering University of New Mexico United States

ISBN: (纸本)9781577357568

Digital documents present knowledge in most areas of study, exchanging and communicating information in a portable way. To better use the knowledge embedded in an ever-growing information source, effective tools for automatic information extraction are needed. Tables are crucial information elements in documents of scientific nature. Most publications use tables to represent and report concrete findings of research. Current methods used to extract table data from PDF documents lack precision in detecting, extracting, and representing data from diverse layouts. We present the system TAble Organization (TAO) to automatically detect, extract and organize information from tables in PDF documents. TAO uses a processing, based on the k-nearest neighbor method and layout heuristics, to detect tables within a document and to extract table information. This system generates an enriched representation of the data extracted from tables in the PDF documents. TAO's performance is comparable to other table extraction methods, but it overcomes some related work limitations and proves to be more robust in experiments with diverse document layouts. Copyright © 2016, Association for the Advancement of Artificial Intelligence (***). All right reserved.

关键词： Heuristic methods

来源：评论

学校读者我要写书评

暂无评论

Robust Beamforming Design and Antenna Selection for Dynamic HRIS-aided MISO Systems

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Wang, Jintao Zhou, Binggui Ma, Chengzhi Gong, Shiqi Yang, Guanghua Ma, Shaodan University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering Macau999078 China Beijing Institute of Technology School of Information and Electronics Beijing100081 China Jinan University School of Intelligent Systems Science and Engineering Zhuhai519070 China

In this paper, we propose a dynamic hybrid active-passive reconfigurable intelligent surface (HRIS) to enhance multiple-input-single-output (MISO) communications, leveraging the property of dynamically placing active elements. Specifically, considering the impact of hardware impairments (HWIs), we investigate channel-aware configurations of the receive antennas at the base station (BS) and the active/passive elements at the HRIS to improve transmission reliability. To this end, we propose a penalty-based exact block coordinate descent (PEBCD) algorithm to address the mean-square-error (MSE) minimization problem for the dynamic HRIS-aided MISO system by jointly optimizing the BS receive antenna selection matrix, the reflection phase coefficients, the reflection amplitude matrix, and the mode selection matrix of the HRIS. Numerical simulations demonstrate the significant superiority of our proposed scheme over conventional benchmark schemes. © 1967-2012 IEEE.

关键词： Rectennas

来源：评论

学校读者我要写书评

暂无评论

Nonreciprocal Hyperbolic and Surface Modes Enable Tunable Near-Field Heat Transfer in Current-Biased Dirac Semimetals

引用

Nano Letters 2025年 2025 May 20页

作者： Blevins, Morgan G. Pajovic, Simo Boriskina, Svetlana V. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge 02139 MA United States The Charles Stark Draper Laboratory Inc. Cambridge 02139 MA United States Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge 02139 MA United States

The motion of charge carriers via current bias can create a dragging effect on propagating surface plasmon polaritons (SPPs), a phenomenon known as plasmon Fizeau drag. This effect is predicted to be supported by 3D Dirac semimetals (DSMs) due to their high saturation velocity and mobility. We propose current-biased 3D DSMs as a promising platform for tunable near-field radiative heat transfer. We predict that modulating the magnitude and direction of the current bias in Cd₃As₂, in combination with gating, can achieve on/off switching ratios of up to 22 for gaps of 100 nm, higher than previously explored gate-tunable systems. The superior tunability of our system is attributed to low-loss, nonreciprocal SPPs and dynamic tuning of hyperbolic modes, sensitive to the magnitude and direction of current bias. Finally, we predict that this system supports heat pumping in the absence of a temperature gradient due to the Doppler shift of the photon occupation number. © 2025 American Chemical Society.

关键词： Dirac semimetals near-field thermal radiation nonreciprocity plasmonics topological materials

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：