检索结果-内蒙古大学图书馆

UAV longitudinal autopilot design using SLC and TECS controllers

CEAS Aeronautical Journal 2024年第2期15卷 351-362页

作者： Ghelem, Nourddine Boudana, Djamel Bouchhida, Ouahid Laboratory of Process Control LCP Department of Engineering Control Systems and Applied Mathematics National Polytechnic School ENP of Algiers 10 St Hacen Badi El Harrach Algiers Algeria Department of Electrical Engineering LREA Laboratory University of Medea Medea Algeria

UAVs are becoming increasingly prevalent in a wide range of fields, including surveillance, photography, agriculture, transportation, and communications. Hence, research institutions have developed a range of linear and non-linear controllers that can enhance the stability and efficiency of these UAVs while performing their assigned tasks. In this paper, we present a longitudinal autopilot design for the Sky Sailor solar UAV using two different control techniques. The first technique is a classic controller known as SLC (Successive Loop Closure), which is based on consecutive closed loops using a PID controller. The second technique is the TECS (Total Energy Control System) controller, which uses the specified total energy rate and energy distribution rate to regulate the airspeed and altitude of the UAV. After detailing the working principle of each controller and calculating the tuning parameters for each one, we applied the two techniques to the non-linear model that describes the behavior of the Sky Sailor UAV using MATLAB Simulink. The simulation results showed that the TECS controller is superior to the SLC controller in terms of stability and energy efficiency. As such, this technique is an excellent choice for solar drones, as it can increase their endurance. © Deutsches Zentrum für Luft- und Raumfahrt e.V. 2024.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices

引用

computers, Materials & Continua 2024年第1期78卷 31-63页

作者： Sunil Kumar Dilip Kumar Ramraj Dangi Gaurav Choudhary Nicola Dragoni Ilsun You Department of Computer Science and Engineering National Institute of Technology JamshedpurJamshedpurIndia School of Computing Science and Engineering VIT University BhopalBhopal466114India Center for Industrial Software The Maersk Mc-Kinney Moller InstituteUniversity of Southern DenmarkSonderborgOdenseDenmark Department of Applied Mathematics and Computer Science Technical University of DenmarkLyngby2800Denmark Department of Information Security Cryptologyand MathematicsKookmin UniversitySeoulSouth Korea

The widespread and growing interest in the Internet of Things(IoT)may be attributed to its usefulness in many different *** settings are probed for data,which is then transferred via linked *** are several hurdles to overcome when putting IoT into practice,from managing server infrastructure to coordinating the use of tiny *** it comes to deploying IoT,everyone agrees that security is the biggest *** is due to the fact that a large number of IoT devices exist in the physicalworld and thatmany of themhave constrained resources such as electricity,memory,processing power,and square *** research intends to analyse resource-constrained IoT devices,including RFID tags,sensors,and smart cards,and the issues involved with protecting them in such restricted *** lightweight cryptography,the information sent between these gadgets may be *** order to provide a holistic picture,this research evaluates and contrasts well-known algorithms based on their implementation cost,hardware/software efficiency,and attack resistance *** also emphasised how essential lightweight encryption is for striking a good cost-to-performance-to-security ratio.

关键词： IoT a sensor device lightweight cryptography block cipher smart card security and privacy

来源：评论

学校读者我要写书评

暂无评论

Real-time ore sorting using color and texture analysis

引用

International Journal of Mining Science and Technology 2023年第6期33卷 659-674页

作者： David G.Shatwell Victor Murray Augusto Barton Hochschild Mining PLC La Colonia 180Lima 15023Peru Department of Electrical Engineering Universidad de Ingenieria y Tecnologia-UTECLima 15063Peru John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridge 02134USA Department of Electrical and Computer Engineering University of New MexicoAlbuquerque 87131USA

Sensor-based ore sorting is a technology used to classify high-grade mineralized rocks from low-grade waste rocks to reduce operation *** ore-sorting algorithms using color images have been proposed in the past,but only some validate their results using mineral grades or optimize the algorithms to classify rocks in *** paper presents an ore-sorting algorithm based on image processing and machine learning that is able to classify rocks from a gold and silver mine based on their *** algorithm is composed of four main stages:(1)image segmentation and partition,(2)color and texture feature extraction,(3)sub-image classification using neural networks,and(4)a voting system to determine the overall class of the *** algorithm was trained using images of rocks that a geologist manually classified according to their mineral content and then was validated using a different set of rocks analyzed in a laboratory to determine their gold and silver *** proposed method achieved a Matthews correlation coefficient of 0.961 points,higher than other classification algorithms based on support vector machines and convolutional neural networks,and a processing time under 44 ms,promising for real-time ore sorting applications.

关键词： Ore sorting Image color analysis Image texture analysis Machine learning

来源：评论

学校读者我要写书评

暂无评论

Integrating local binary patterns and convolutional neural networks with a balanced gray encoded pooling mechanism

引用

Multimedia Tools and Applications 2025年 1-27页

作者： Lai, Cheng-Ling Tseng, Ling-Shen Chang, Chih-Hung Chen, Yi-Han Wu, Chih-Hung Department of Electrical Engineering National University of Kaohsiung 700 Kaohsiung University Rd Nanzih District Kaohsiung81148 Taiwan Department of Applied Mathematics National University of Kaohsiung 700 Kaohsiung University RdNanzih District Kaohsiung81148 Taiwan

Local binary pattern (LBP) is a commonly adopted method for texture description in image analysis applications. However, when used in deep convolutional neural networks (CNNs), standard LBP often fails to retain crucial feature uniformity and diversity during dimensionality reduction, which limits its effectiveness in complex image classification tasks. To address these issues, a novel LBP encoding method utilizing balanced Gray code (BGC) is introduced. In this method, similar LBP features are re-ordered as neighbors to maximally preserve feature integrity and diversity through the pooling process. This approach improves the compatibility of LBP with CNN architectures, enhancing both accuracy and robustness. An efficient algorithm is designed that integrates BGC transformation, LBP counting, and sum pooling for dimensionality reduction without sacrificing key feature characteristics. Several LBP-embedded network architectures based on ResNet have been developed and tested, demonstrating significant performance improvements in the proposed method. The experimental results reveal that our proposed method outperforms typical CNN models with a 15% accuracy improvement for classifying the STL-10 benchmark images. Additionally, our proposed method demonstrates greater robustness to illumination variations, highlighting the potential of this method for enhanced feature representation in deep learning. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Dimensionality reduction

来源：评论

学校读者我要写书评

暂无评论

Detecting Persian Signatures in Realistic Images using the YOLO Algorithm 20

Detecting Persian Signatures in Realistic Images using the Y...

引用

20th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2024

作者： Jafarian, Shiva Shabaninia, Elham Nezamabadi-Pour, Hossein Shahid Bahonar University of Kerman Department of Electrical Engineering Kerman Iran Graduate University of Advanced Technology Department of Applied Mathematics Kerman Iran

ISBN: (纸本)9798350383942

While crucial for document forensics and security, detecting Persian signatures in real-world scenarios poses a considerable challenge due to the distinctive features of Persian signatures - characterized by complex combinations of shapes and letters instead of conventional names - along with issues like noise, cluttered backgrounds, and more. Furthermore, the scarcity of annotated datasets complicates signature detection in natural settings. This paper addresses these challenges by introducing a new dataset for Persian documents, merging publicly available signatures with diverse backgrounds to create semi-realistic images reflecting real-world conditions. Additionally, the proposed method leverages the YOLOv5 architecture for signature detection. The experimental findings illustrate that, under various lighting conditions, background complexities, and signature distortions, this approach effectively and accurately detects Persian signatures. © 2024 IEEE.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

Tools and environment for maximum efficiency in complex telecommunication system 32

Tools and environment for maximum efficiency in complex tele...

引用

32nd Telecommunications Forum, TELFOR 2024

作者： Zlatanovic, Jovan Trivic, Zoran Milosevic, Ivana Milosevic, Mirko Pe Etv Network Operation Department Belgrade Serbia Pe Etv Maintaining the Service Department Belgrade Serbia School of Technical and Art Applied Studies Academy of Electrical and Computer Engineering Department of Electrical Engineering and Computer Science Belgrade Serbia

ISBN: (纸本)9798350391053

The contribution of energy efficiency covers a wide range of interests. Energy efficiency affects climate change mitigation goals, energy saving, health benefits, and productivity. The quick expansion of data traffic and connection has caused the telecommunications industry's energy usage to increase significantly. It operated with equipment that is already energy efficient and it will be try to explain the additional energy saving. It will be shows a methodology that uses several parameters that can be varied in order to achieve the desired high-power transmitter efficiency. The result of the work is the saving of energy and resources through the use of tools that keep components of telecommunication systems in the optimal mode of operation using intelligent application. This application uses an intelligent algorithm that allows us to save approximately 20MW per year. © 2024 IEEE.

关键词： Efficiency high-power transmitter intelligent application optimal mode telecommunication system

来源：评论

学校读者我要写书评

暂无评论

Degree reduction of ball Said-Ball surfaces using an enhanced coot optimization algorithm

Degree reduction of ball Said-Ball surfaces using an enhance...

引用

作者： Hu, Gang Dou, Wanting Du, Bo Department of Applied Mathematics Xi'an University of Technology Xi'an China School of Computer Science and Engineering Xi'an University of Technology Xi'an China

Degree reduction of ball Said-Ball (BSB) surface is a complex and unsolved problem in computer-aided design (CAD) and computer graphics (CG), which has potential application prospects in many engineering fields of geometric modeling. In this paper, the degree reduction of BSB surface is transformed into the optimization problems of center surface and radius function, and the improved coot optimization algorithm is used to solve it. An effective method to solve the degree reduction of BSB surface by intelligent optimization algorithm is proposed. Firstly, the degree reduction of BSB surface is decomposed into center surface reduction and radius function reduction, and the objective function and constraint conditions are determined according to the optimization idea, then the degree reduction optimization model of center surface and radius function is established. Secondly, an enhanced coot (ECOOT for short) algorithm is proposed, which combines chain strategy, dispersed foraging strategy, and quadratic interpolation strategy. Compared with the original algorithm, ECOOT algorithm has better convergence performance and higher calculation accuracy. Finally, the proposed ECOOT algorithm is used to solve the degree reduction optimization model, and the optimal center surface and minimum distance radius function of the BSB surface after degree reduction are obtained. The experimental results show that the ECOOT algorithm can effectively solve the problem of degree reduction for BSB surface, the degree reduction error is reduced by about 20% compared to the original COOT algorithm, and is superior to other intelligent optimization algorithms in accuracy, robustness, and convergence. © 2023 John Wiley & Sons, Ltd.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations

引用

Biomedical engineering Frontiers 2022年第1期3卷 381-393页

作者： Erica Skerrett Zichen Miao Mercy N.Asiedu Megan Richards Brian Crouch Guillermo Sapiro Qiang Qiu Nirmala Ramanujam Department of Biomedical Engineering Duke UniversityDurhamNCUSA Department of Electrical and Computer Engineering Purdue UniversityWest LafayetteINUSA Department of Computer Engineering Massachusetts Institute of TechnologyCambridgeMAUSA Department of Electrical and Computer Engineering Department of Biomedical EngineeringDepartment of Computer ScienceDepartment of MathematicsDuke UniversityDurhamNCUSA

Objective and Impact *** use deep learning models to classify cervix images—collected with a low-cost,portable Pocket colposcope—with biopsy-confirmed high-grade precancer and *** boost classification performance on a screened-positive population by using a class-balanced loss and incorporating green-light colposcopy image pairs,which come at no additional cost to the *** the majority of the 300,000 annual deaths due to cervical cancer occur in countries with low-or middle-Human Development Indices,an automated classification algorithm could overcome limitations caused by the low prevalence of trained professionals and diagnostic variability in provider visual *** dataset consists of cervical images(n=1,760)from 880 patient *** optimizing the network architecture and incorporating a weighted loss function,we explore two methods of incorporating green light image pairs into the network to boost the classification performance and sensitivity of our model on a test *** achieve an area under the receiver-operator characteristic curve,sensitivity,and specificity of 0.87,75%,and 88%,*** addition of the class-balanced loss and green light cervical contrast to a Resnet-18 backbone results in a 2.5 times improvement in *** methodology,which has already been tested on a prescreened population,can boost classification performance and,in the future,be coupled with Pap smear or HPV triaging,thereby broadening access to early detection of precursor lesions before they advance to cancer.

关键词： boost network backbone

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems 57

Performance Analysis of Model-Free Control and PID Control o...

引用

57th Annual Conference on Information Sciences and Systems, CISS 2023

作者： Peng, James Cheng Spall, James C. Virginia Tech Bradley Department of Electrical and Computer Engineering ArlingtonVA United States Johns Hopkins University Department of Applied Mathematics and Statistics Applied Physics Laboratory LaurelMD United States

ISBN: (纸本)9781665451819

Modern dynamical systems are generally non-linear, which make traditional linear controllers infeasible in some cases. To cope with the need for controlling such modern systems, researchers have developed robust nonlinear controllers that leverage function approximators such as neural networks and polynomials. In this work, we investigate one successful nonlinear controller, the SPSA (si-multaneous perturbation stochastic approximation)-based model-free control. We shall make a rigorous performance analysis on a class of nonlinear MIMO systems. As a benchmark, we compare it with PID, one of the most-widely used control technique. © 2023 IEEE.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Enhancing Farsi Text Recognition via Iteratively Using a Language Model 20

Enhancing Farsi Text Recognition via Iteratively Using a Lan...

引用

20th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2024

作者： Afkari-Fahandari, Ali Asadi-Zeydabadi, Fatemeh Shabaninia, Elham Nezamabadi-Pour, Hossein Shahid Bahonar University of Kerman Department of Electrical Engineering Kerman Iran Graduate University of Advanced Technology Department of Applied Mathematics Kerman Iran

ISBN: (纸本)9798350383942

In the present era, there is a growing demand for a reliable Farsi text recognition system, that addresses the needs of both industrial and individual users. The process of text recognition is typically accompanied by a subsequent post-processing step, which aims to tailor the text to specific language constraints. However, the iterative use of post-correction offers valuable insights for enhancing the precision of the recognized text. Meanwhile, building upon the recent successes of Transformer-based approaches in natural language processing and computer vision, we propose a Farsi text recognition model. This model seamlessly integrates a decoupled convolutional Transformer-based vision model for initial predictions and a Transformer-based language model for refining the obtained predictions. Evaluation of well-known Farsi OCR datasets, including Iranshahr, Sadri, and Shotor, demonstrates the model's superior performance, surpassing existing literature with recognition accuracies of 97.59%, 99.25%, and 99.97% on Iranshahr, Sadri, and Shotor datasets, respectively. © 2024 IEEE.

关键词： Optical character recognition

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：