检索结果-内蒙古大学图书馆

11th IEEE International Conference on Intelligent Computing and Information systems, ICICIS 2023

作者： Amer, Sara Mohamed, Hoda K. Badr Monir Mansour, Marvy Ain Shams University Department of Computer and Systems Engineering Cairo Egypt British University in Egypt Department of Electrical Engineering Cairo Egypt

ISBN: (纸本)9798350322101

Predictive maintenance techniques are designed to determine the state of equipment in action to help us know when we can intervene to perform maintenance on it. Predictive maintenance design applies artificial intelligence techniques such as machine learning to analyze data and monitor efficiency. In this paper, we predict the maintenance of any equipment before it stops to reduce unplanned equipment maintenance by means of machine learning algorithms. We adopted in our work the following supervised machine learning algorithms: Random Forest, Support Vector Machine, KNN, Decision Tree, Logistic Regression, Naïve Bayes, and XGBOOST. Simulations and results show that the Random Forest and XGBOOST have almost the same performance. The XGBOOST machine learning algorithm is preferred for bigger datasets compared to Random Forest and it works more effectively in the case of small datasets. Finally, the proposed predictive maintenance system is successful in identifying possible failure indicators and reducing some production stoppages as shown by our simulation results. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

On the Average Controllability Centrality of Laplacian Dynamics 10

On the Average Controllability Centrality of Laplacian Dynam...

引用

10th Indian Control Conference, ICC 2024

作者： Sawant, Vishal Wisniewski, Rafal The Department of Electrical Engineering Indian Institute of Technology Hyderabad502285 India The Department of Electronic Systems Aalborg University 9220 Denmark

ISBN: (纸本)9798331517212

In this paper, the Laplacian network dynamics is considered, in which every node follows the classical nearestneighhbour rule. One of the nodes, referred as the control node, is allowed to receive the external control input. To quantify the control energy required for the state transfer, the average controllability centrality (ACC) is prevalently used in the literature. The ACC of a node is defined as the trace of the Controllability Grammian (CG) matrix of the network dynamics when that node is acting as the control node. In this paper, the effect of network topology and control horizon, on the ACC is investigated. Subsequently, it is shown that under either of the following conditions, the ACC’s of all nodes are almost equal: i) Networks with high edge density ii) Too short and too long control horizon As a result, it is concluded that under these conditions, the ACC is not an efficient metric for selecting the energy-efficient control node. Finally, the proposed results are demonstrated through simulations on randomly generated graphs. © 2024 IEEE.

关键词： Controllability

来源：评论

学校读者我要写书评

暂无评论

Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

引用

Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

来源：评论

学校读者我要写书评

暂无评论

A Balloon-Based UAV-Aided Non-Terrestrial Sectorized Network for Post Disaster Cellular Coverage: A Dynamic Environment Perspective 7

A Balloon-Based UAV-Aided Non-Terrestrial Sectorized Network...

引用

7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024

作者： Dabiri, Mohammad Taghi Hasna, Mazen Althunibat, Saud Qaraqe, Khalid Alouini, Mohamed-Slim Qatar University Department of Electrical Engineering Doha Qatar Al-Hussein Bin Talal University Department of Communications Engineering Jordan Hamad Bin Khalifa University Electrical Engineering Program College of Science and Engineering Qatar King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

ISBN: (纸本)9798350367027

With the advancements in low-earth orbit (LEO) constellations, modern aerial platforms (APs), sector antennas, and device technologies, it is now becoming feasible to provide aerial platform-based cellular network (APCN) as an efficient and easy-To-deploy solution for post-disaster internet recovery. Similar to the terrestrial networks (TNs), sector access antennas have a huge potential for their usage in APs, such as tethered balloons, to provide a wide coverage and high-speed internet connectivity in disaster areas. However, in this paper, we show that many significant challenges remain in their commercial deployments which have received less attention so far. For instance, as the main cause of other challenges, by providing realistic 3D network simulations, we show that sectorized antenna-based APCNs suffer from inherent motions and vibrations of floating AP topologies, which causes moving and dynamic holes in the coverage and thus, confirms that the design of these APCNs is much more complicated than fixed TNs. To this end, by providing an easy-To-read brief review of existing aerospace post-disaster solutions, we show the superiority of APCNs which can bring several key benefits over the existing topologies, and then technically discuss its various challenges and open problems that need to be addressed before they can be deployed at a large scale. © 2024 IEEE.

关键词： Tropics

来源：评论

学校读者我要写书评

暂无评论

Nonlinear Sparse Channel Estimator for Hybrid MIMO Millimeter Wave Communication 35

Nonlinear Sparse Channel Estimator for Hybrid MIMO Millimete...

引用

35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Jain, Sandesh Singya, Praveen Kumar Shukla, Vidya Bhasker Majhi, Sudhan Bhatia, Vimal Department of Electrical and Electronics Engineering Gwalior474015 India Center for Autonomous Systems ABV-IIITM Gwalior 474015 India Department of Electrical Engineering Indore453552 India Indian Institute of Science Department of Electrical Communication Engineering Bangalore560012 India Iit Indore and Soochow University Center for Advanced Electronics China

ISBN: (纸本)9798350362244

The multi-input multi-output (MIMO) millimeter wave (mmWave) is a promising technology for beyond 5G communication systems, which provides high data rates, ultra-low latency, massive connectivity, and high spectral efficiency. However, a typical mmWave communication link is severely impaired by path loss, nonlinear device impairments, and non-Gaussian noise. Furthermore, MIMO mmWave channel exhibits sparseness due to blockage and scattering. The conventional orthogonal matching pursuit (OMP), zero-attracting least mean square (ZA-LMS), and their variants deliver suboptimal performance for nonlinear mmWave systems. To improve the estimation accuracy, we propose a random Fourier features (RFF) based sparsity-aware kernel maximum correntropy (SA-KMC) algorithm, which is robust for MIMO mmWave sparse channel estimation in the presence of nonlinear hardware impairments and non-Gaussian distortions. Simulations indicate that the proposed RFF-SA-MCC algorithm outperforms the existing state-of-art approaches. © 2024 IEEE.

关键词： Channel estimation

来源：评论

学校读者我要写书评

暂无评论

Toward better semantic segmentation by retaining spectral information using matched wavelet pooling

引用

Neural Computing and Applications 2025年第10期37卷 7049-7066页

作者： El-Khamy, Said El-Bana, Shimaa Al-Kabbany, Ahmad Elragal, Hassan Department of Electrical Engineering Alexandria University Alexandria21544 Egypt Intelligent Systems Lab Arab Academy for Science Technology and Maritime Transport Alexandria21937 Egypt Department of Research and Development VRapeutic Inc. Cairo11613 Egypt Alexandria Higher Institute of Engineering and Technology Alexandria21311 Egypt

Pooling operations, such as average pooling, strided convolution, and max pooling, have become fundamental components of convolutional neural networks (CNNs) due to their ability to capture local features, expand receptive fields, and reduce computational costs. However, in the context of semantic segmentation, these pooling techniques can lead to the loss of crucial spatial details that are necessary for accurate pixel-level predictions. To tackle this issue, extensive research has focused on refining deep CNN models through architectural adaptations and novel training methods. Recent studies have demonstrated the importance of pooling layers, exemplified by innovations like the introduction of wavelet pooling. In our study, we highlight the value of incorporating our previously proposed matched wavelet pooling (MWP) into CNNs to enhance semantic segmentation pipelines. The core concept of MWP challenges the notion that including all sub-bands generated from wavelet decomposition consistently improves accuracy. Instead, we advocate for selecting specific sub-bands for the pooling process in each image during both training and testing. This approach introduces sub-band selection protocols customized for image-specific pooling, designed specifically for semantic segmentation CNN architectures, with a particular focus on the UNet and SegNet models. Across three widely used datasets, our proposed MWP- based pipeline, featuring the MWP-UNet architecture, consistently outperforms conventional pooling methods. It achieves a significant average improvement in intersection over union (IoU) of over 25% compared to recent literature. Additionally, our MWP-SegNet model outperformed the standard SegNet by 12.5% mIoU, further demonstrating the effectiveness of our matched wavelet pooling approach across different network architectures. © The Author(s) 2025.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Parallel Execution of the Viola-Jones Algorithm on MCUs for Low-Cost Automated Pest Detection 1

Parallel Execution of the Viola-Jones Algorithm on MCUs for ...

引用

1st IEEE Conference on AgriFood Electronics, CAFE 2023

作者： Rusci, Manuele Bompani, Luca Baldoni, Olmo Montanari, Carlo Brunelli, Davide Benini, Luca Ku Leuven Department of Electrical Engineering Belgium University of Trento Department of Industrial Engineering Italy University of Bologna Department of Electrical Electronic and Information Engineering Italy Eth Zürich Integrated Systems Laboratory Switzerland

ISBN: (纸本)9798350327113

This paper presents an energy-optimized solution for on-device pest detection, preventing image streaming from the traps installed in the monitored orchard surface. We optimize the Viola-Jones object detector to run on a low-cost 8-core MicroController (MCU), which is coupled to a low-power image sensor. Thanks to the adopted memory management scheme and the algorithm parallelization, our solution presents a processing latency of only 0.4 sec per image while scoring >80% detection accuracy on low-quality images. This design reduces the memory requirements and complexity of precedent processing pipelines based on Deep Neural Networks and presents a power envelope > 10x lower than more expensive existing solutions. © 2023 IEEE.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Designed harmonic step filter automatic control system to improve power quality and electric efficiency

Designed harmonic step filter automatic control system to im...

引用

2024 International Conference on Power Electronics and Energy System, ICPEES 2024

作者： Pasaribu, Faisal Irsan Sara, Ira Devi Tarmizi, Tarmizi Nasaruddin, Nasaruddin Doctoral Program School of Engineering Universitas Syiah Kuala Aceh23111 Indonesia Department Electrical and Computer Engineering Universitas Syiah Kuala Aceh23111 Indonesia

Good power quality and high-power efficiency are important aspects of power system management. Harmonic, as an unwanted frequency component in electrical signals, can interfere with power quality and reduce electrical efficiency. A passive harmonic filter is a device used to reduce or filter harmonics in electrical power systems. This research proposes technology Internet of Things with an automatic control system that moves the step filter to solve the harmonic problem, with the aim of improving the quality of power and electrical efficiency. The step filter functions to identify and isolate the harmonic, thus enabling appropriate controls to suppress the impact of the harmonic. The proposed system uses sophisticated control algorithms using sensors that can read current, voltage, frequency, and power factor to adjust the step filter parameters dynamically, following changes in load conditions and harmonizing. Simulation of the control network using the proteus software is subsequently undertaken in further research to design the control device. Using an automatic control set in the control simulation results reduced the need for manual intervention and let the system adjust the step filter automatically in response to changing network conditions. This showed that this method worked to lower harmonic distortion, increases the power factor through the filter used, and make the system more energy efficient overall. The study emphasizes the importance of applying sophisticated control strategies to manage harmonics efficiently, which ultimately paves the way to a cleaner and more reliable power grid. © Published under licence by IOP Publishing Ltd.

关键词： Power quality

来源：评论

学校读者我要写书评

暂无评论

Design and Performance Analysis of Utility Scale-Grid connected Hybrid Wind-Solar Plant in an Existing Operational Wind Farm in India 3

Design and Performance Analysis of Utility Scale-Grid connec...

引用

3rd IEEE International Conference on electrical Power and Energy systems, ICEPES 2024

作者： Kaliappan, P. Selvan, M.P. CPRI Metering and Utility Automation Division Bangalore India NIT Hybrid Electrical Systems Laboratory Department of Electrical & Electronics Engineering Tiruchirappalli India

ISBN: (数字)9798350390728

ISBN: (纸本)9798350390728

Renewable Energy (RE) is a clean and green energy available worldwide. India is harvesting green energy technologies in an exponential way with solar irradiation and wind resources available. In the existing wind farms, there is a scope for generation of solar energy using photovoltaic modules in the vacant lands which are available between the wind turbines. Considering techno-commercial, land acquisition issues and right of way, the establishment of solar plants in the existing wind farms would also be a better choice. Hence, it is proposed to establish a solar power plant of 25 MW capacity in an existing wind farm of 75 MW capacity located in Coimbatore district, Tamilnadu, India by considering the wind farm layout and i) utilizing the existing step-up distribution transformers ii) by adding separate step-up transformers and iii) as a dedicated co-located solar power plant. The existing wind farm is operational, and it is decided to integrate the proposed solar power plant. The wind farm and solar power plant will be interconnected with the power grid through point of common coupling to inject the power to the grid. The solar power generation simulation has been carried out using PVsyst software. The modeling, simulation and performance evaluation of a utility scale grid-connected hybrid wind-solar power was done using ETAP software. In this paper, various possibilities for integrating solar power plants in existing wind farms have been explored, and the design of appropriate power extraction and protection schemes for the hybrid wind-solar plant has been analyzed and recommended. © 2024 IEEE.

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

AI Security and Safety: The PRALab Research Experience

AI Security and Safety: The PRALab Research Experience

引用

2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023

作者： Demontis, Ambra Pintor, Maura Demetrio, Luca Sotgiu, Angelo Angioni, Daniele Piras, Giorgio Gupta, Srishti Biggio, Battista Roli, Fabio Department of Electrical and Electronic Engineering University of Cagliari Italy Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Italy

We present here the main research topics and activities on security, safety, and robustness of machine learning models developed at the Pattern Recognition and Applications (PRA) Laboratory of the University of Cagliari. We have provided pioneering contributions to this research area, being the first to demonstrate gradient-based attacks to craft adversarial examples and training data poisoning attacks. The findings of our research have significantly contributed not only to identifying and characterizing vulnerabilities of such models in the context of real-world applications but also to the development of more trustworthy artificial intelligence and machine learning models. We are part of the ELSA network of excellence for the development of safe and secure AI-based technologies, funded by the European Union. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Machine learning

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：