检索结果-内蒙古大学图书馆

Emerging Research in Computational Science (ICERCS), International Conference on

作者： Gunasekaran Thangavel Sheeba Rajan S. Subbulekshmi Arun Anthonisamy Rohini Ganapathi Gowri Velankanni Department of Electronics and Communication Engineering University of Technology and Applied Sciences Muscat Sultanate of Oman School of Computing SRM Institute of Science and Technology Tiruchirapalli India Department of Electronics and Communication Engineering Prathyusha Engineering College Chennai India Department of Computer Science and Business System Panimalar Engineering College Chennai India Department of Electronics and Communication Engineering St. Joseph’s Institute of Technology Chennai India Department of Electronics and Communication Engineering K. Ramakrishnan College of Technology Trichy India

ISBN: (数字)9798331534967

ISBN: (纸本)9798331534974

In B5G networks, accurate symbol timing estimate and estimation of the carrier frequency offset are both absolutely necessary. Particularly in highly mobile and interference-ridden settings, these factors are of paramount importance for sustaining high-throughput, dependable wireless communication. Estimating symbol timing and carrier frequency offset in OTFS can be difficult due to factors including the time-varying nature of Doppler shifts and interference from surrounding cells as well as the non-stationary nature of wireless channels. In such changing settings, traditional algorithms often fail to produce reliable estimations. To account for frequency changes caused by things like Doppler effects and drift, this research uses Machine Learning-Based Carrier Frequency Prediction Analysis (ML-CFPA) to implement a dynamic carrier frequency offset estimation and correction system. To preserve signal coherence and lower interference in B5G settings, carrier frequency offset adjustment is essential. Communication solutions with high performance are required for these applications to ensure they can function normally despite the complexity and changeability of their contexts. The outcomes demonstrate the higher performance of the algorithm in contrast to conventional approaches, highlighting its applicability to B5G networks. Its potential as a crucial enabling technology for the B5G future has been solidified by these simulations, which verify its capacity to maintain reliable communication under a variety of real-world conditions.

关键词： Wireless communication Machine learning algorithms Heuristic algorithms Estimation Symbols Interference Prediction algorithms Frequency estimation Timing Reliability

来源：评论

学校读者我要写书评

暂无评论

CONCRETIZER: MODEL INVERSION ATTACK VIA OCCUPANCY CLASSIFICATION AND DISPERSION CONTROL FOR 3D POINT CLOUD RESTORATION

arXiv

引用

arXiv 2025年

作者： Kim, Youngseok Hwang, Sunwook Kim, Hyung-Sin Bahk, Saewoong Department of Electrical and Computer Engineering Seoul National University Korea Republic of System LSI Samsung Electronics Korea Republic of Graduate School of Data Science Seoul National University Korea Republic of

The growing use of 3D point cloud data in autonomous vehicles (AVs) has raised serious privacy concerns, particularly due to the sensitive information that can be extracted from 3D data. While model inversion attacks have been widely studied in the context of 2D data, their application to 3D point clouds remains largely unexplored. To fill this gap, we present the first in-depth study of model inversion attacks aimed at restoring 3D point cloud scenes. Our analysis reveals the unique challenges, the inherent sparsity of 3D point clouds and the ambiguity between empty and non-empty voxels after voxelization, which are further exacerbated by the dispersion of non-empty voxels across feature extractor layers. To address these challenges, we introduce ConcreTizer, a simple yet effective model inversion attack designed specifically for voxel-based 3D point cloud data. ConcreTizer incorporates Voxel Occupancy Classification to distinguish between empty and non-empty voxels and Dispersion-Controlled Supervision to mitigate non-empty voxel dispersion. Extensive experiments on widely used 3D feature extractors and benchmark datasets, such as KITTI and Waymo, demonstrate that ConcreTizer concretely restores the original 3D point cloud scene from disrupted 3D feature data. Our findings highlight both the vulnerability of 3D data to inversion attacks and the urgent need for robust defense strategies. Copyright © 2025, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

DDoS Attack Detection and Classification Using Hybrid Model for Multicontroller SDN

引用

Wireless Communications and Mobile Computing 2023年第1期2023卷

作者： Gebremeskel, Tewelde Gebremedhin Gemeda, Ketema Adere Krishna, T. Gopi Ramulu, Perumalla Janaki Department of Computer Science and Engineering Center for Electrical System and Electronics Adama Science and Technology University Adama Ethiopia Department of Mechanical Engineering Adama Science and Technology University Adama Ethiopia

A software-defined network (SDN) brings a lot of advantages to the world of networking through flexibility and centralized management;however, this centralized control makes it susceptible to different types of attacks. Distributed denial of service (DDoS) is one of the most dangerous attacks that are frequently launched against the controller to put it out of service. This work takes the special ability of SDN to propose a solution that is an implementation run at the multicontroller to detect a DDoS attack at the early stage. This method not only detects the attacks but also identifies the attacking paths and starts a mitigation process to provide protection for the network devices. This method is based on the entropy variation of the destination host targeted with its IP address and can detect the attack within the first 250 packets of malicious traffic attacking a particular host. Then, fine-grained packet-based detection is performed using a deep-learning model to classify the attack into different types of attack categories. Lastly, the controller sends the updated traffic information to neighbor controllers. The chi-squared (x2) test feature selection algorithm was also employed to reveal the most relevant features that scored the highest in the provided data set. The experiment result demonstrated that the proposed Long Short-Term Memory (LSTM) model achieved an accuracy of up to 99.42% using the data set CICDDoS2019, which has the potential to detect and classify the DDoS attack traffic effectively in the multicontroller SDN environment. In this regard, it has an enhanced accuracy level to 0.42% compared with the RNN-AE model with data set CICDDoS2019, while it has improved up to 0.44% in comparison with the CNN model with the different data set ICICDDoS2017. © 2023 Tewelde Gebremedhin Gebremeskel et al.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Feature Map Guided Strategy for Robust Multi-Resolution Image Dehazing

Feature Map Guided Strategy for Robust Multi-Resolution Imag...

引用

Electrical electronics and Computing Technologies (ICEECT), International Conference on

作者： Avishek Kumar Nagendra Kumar Akhilesh Kumar Mishra Gouransh Pathak Amit Chatterjee Centre for Sensors Instrumentation and Cyber-Physical System Engineering IIT Delhi New Delhi India Department of Electronics and Communication Engineering NIT Jamshedpur Jamshedpur India Department of Electrical and Electronics Engineering IILM Univeristy Greater Noida India Department of Computer Science and Engineering PIEMR-Indore Indore India School of Computing DIT University Dehradun India

ISBN: (数字)9798350378092

ISBN: (纸本)9798350378108

Presence of haze in digital images poses significant challenges in computer vision applications, adversely impacting tasks like image segmentation and object detection. To tackle this issue, this paper introduces a fusion-based dehazing strategy by integrating color conversion, adaptive gamma correction, and parameter estimation. Through multi resolution fusion of chromatic and brightness maps, the algorithm efficiently removes haze, surpassing conventional single-image approaches while maintaining computational efficacy. From comparative analysis it is evident that, the proposed strategy is highly effective in terms of improving image quality for diverse applications.

关键词： Image quality computers Image segmentation computer vision Image resolution Parameter estimation Image color analysis Digital images Object detection Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Energy Efficient Hybrid Routing for Different Energy Levels Using Fuzzy Logic

Energy Efficient Hybrid Routing for Different Energy Levels ...

引用

IoT, Communication and Automation Technology (ICICAT), International Conference on

作者： Kalpana Singh Prashant Pandey Firoj Ahamad Department of Computer Science Engineering Rajkiya Engineering College Sonbhadra Uttar Pradesh India Department of Electronics Engineering Rajkiya Engineering College Sonbhadra Uttar Pradesh India School of Computer and System Sciences Jawaharlal Nehru University New Delhi Delhi India

Collection of sensor nodes and base station called as Wireless Sensor Networks. While, communicating with other nodes within network this type of network uses huge amount of energy. And, node has limited life time due to battery power. For efficiently utilizing these nodes energy and power, clustering was considered as a best approach. In proposed paper, we work on heterogeneous node, in such environment nodes are differ by their energy level, power, computation, communication etc. The protocol proposed for Energy Efficient Hybrid Routing in different energy levels using fuzzy logic provides three different network for three different initial energy level of nodes such that. 3J,. 4J and. 5J under same area (500*500) m 2 in which super node region uses multipath routing and clustering approach uses for transmitting packet/ data to base station and normal type nodes will uses single path routing transmitting packet/ data to Base station. The proposed protocol discussed different energy levels for finding best initial energy value of node in network and improved throughput, stability, lifetime of network on. 4J energy level as compare to. 3J and. 5J. To optimize the cluster formation we used predetermined technique i.e. inverted binary tree. This technique helps in balancing the load of super nodes region. The proposed model simulated in MATLAB, result shows better performance at 0.4J initial energy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Design of Machine Learning Based Smart Irrigation system for Precision Agriculture

引用

computers, Materials & Continua 2022年第7期72卷 109-124页

作者： Khalil Ibrahim Mohammad Abuzanouneh Fahd N.Al-Wesabi Amani Abdulrahman Albraikan Mesfer Al Duhayyim M.Al-Shabi Anwer Mustafa Hilal Manar Ahmed Hamza Abu Sarwar Zamani K.Muthulakshmi Department of Information Technology College of ComputerQassim UniversityAl-Bukairiyah52571Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel Aseer62529Saudi Arabia&Faculty of Computer and ITSana’a UniversitySana’a61101Yemen Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Management Information System College of Business and AdministrativeTaibah UniversityMedina42353Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Electronics and Communication Engineering Dr.N.G.P Institute of TechnologyCoimbatore641048India

Agriculture 4.0,as the future of farming technology,comprises numerous key enabling technologies towards sustainable *** use of state-of-the-art technologies,such as the Internet of Things,transform traditional cultivation practices,like irrigation,to modern solutions of precision *** achieve effectivewater resource usage and automated irrigation in precision agriculture,recent technologies like machine learning(ML)can be *** this motivation,this paper design an IoT andML enabled smart irrigation system(IoTML-SIS)for precision *** proposed IoTML-SIS technique allows to sense the parameters of the farmland and make appropriate decisions for *** proposed IoTML-SIS model involves different IoT based sensors for soil moisture,humidity,temperature sensor,and ***,the sensed data are transmitted to the cloud server for processing and decision ***,artificial algae algorithm(AAA)with least squares-support vector machine(LS-SVM)model is employed for the classification process to determine the need for ***,the AAA is applied to optimally tune the parameters involved in the LS-SVM model,and thereby the classification efficiency is significantly *** performance validation of the proposed IoTML-SIS technique ensured better performance over the compared methods with the maximum accuracy of 0.975.

关键词： Automatic irrigation precision agriculture smart farming machine learning cloud computing decision making internet of things

来源：评论

学校读者我要写书评

暂无评论

A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers

引用

Energy and AI 2023年第4期14卷 221-237页

作者： Zhenglong Sun Ram Machlev Qianchao Wang Juri Belikov Yoash Levron Dmitry Baimel Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)JilinChina The Andrew and Erna Viterbi Faculty of Electrical&Computer Engineering Technion-Israel Institute of TechnologyHaifa 3200003Israel Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China Department of Software Science Tallinn University of TechnologyAkadeemia tee 15a12618 TallinnEstonia Department of Electrical and Electronics Engineering Sami Shamoon College of EngineeringBeer-Sheva84100Israel

In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical ***,at present,a core obstacle that prevents the direct comparison of such classification techniques is the lack of a standard database that can be used as a *** view of this,we offer here a public experimental data-set that has beendesigned specifically for the comparison of synchronous motor electrical fault *** data-set comprises five types of motor electrical faults:open phase between inverter and motor;short circuit/leakage current between two phases;short circuit/leakage current in phase-to-neutral;rotor excitation voltage disconnection;and variation of rotor excitation *** addition,each fault has been recorded as a four-dimensional signal:three phase voltages;three phase currents;motor speed;and motor *** package includes two deep-learning reference classifiers that are based on a convolutional neural network(CNN)and long short term memory(LSTM).Due to the good performance of these classifiers,we suggest that they can be used by the community as benchmarks for the development of new and better motor electrical fault classification *** database and the reference classifiers are examined and insights regarding different combinations of features and lengths of recording points are *** developed code is available online,and is free to use.

关键词： Motor faults Synchronous motors Public data-set Classification Deep-learning CNN LSTM

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach for Achieving FOMs in Space Constrained Optimized Arrays for AESA Applications

A Novel Approach for Achieving FOMs in Space Constrained Opt...

引用

International Conference on Microelectronics, ICM

作者： Athar Naveed Ghiayas Tahir Arshad Hassan Shawkat Ali Arshad Khan Amine Bermak NASTP Electronics System Design Center Department of Electrical Engineering National University of Computer and Emerging Sciences Islamabad Pakistan College of Science and Engineering Hamad Bin Khalifa University Qatar Foundation Doha Qatar

ISBN: (数字)9798350379396

ISBN: (纸本)9798350379402

This paper defines an approach applied for implementation of application specific beamforming modalities in finite aperture, space-constrained, optimized arrays. To achieve desired response in array factor, appropriate tapering schemes are selected while focusing on array Figures of Merits (FOMs). In this paper, space-constrained optimized arrays of sizes $1 \times 32$ (linear) and $8 \times 8$ (planar) are designed using Opti-metrics in High Frequency Structure Simulator (HFSS). The calculated weights and steering scheme are then applied to HFSS models and Matlab based calculations are validated for proof of concept. Array metrics like low SLL, limited beam-broadening, increased directivity and limited scan loss in planned Field of View (FOV) are targeted metrics. This paper also briefly elaborates comparison of various tapering techniques, while focusing on defined FOMs. The working procedure is developed which extends itself from excitation control of linear to planar dimensions. Keeping in view limited computational resources for full wave simulation, an approach using Pattern Multiplication (PM) is suggested to converge to desired results for large sized arrays. The scheme of this paper has also been used in a design of Hybrid beamforming network (BFN).

关键词： Measurement Array signal processing Focusing Lighting Lattices Apertures Microelectronics Finite element analysis High frequency MATLAB

来源：评论

学校读者我要写书评

暂无评论

Integrated Parallel Chaos driven LiDAR system with High Interference Tolerance

Integrated Parallel Chaos driven LiDAR System with High Inte...

引用

2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chen, Ruixuan Shen, Bitao Shu, Haowen Chang, Lin Xie, Weiqiang Liao, Wenchao Tao, Zihan Bowers, John Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China

We introduce a chaotic microcomb based high interference-tolerance parallel LiDAR. Parallel chaos with record-high noise spectra beyond 7 GHz leads to sub-cm-level ranging accuracy. The intrinsic orthogonality permits... 详细信息

ISBN: (纸本)9781957171258

关键词： Optical radar

来源：评论

学校读者我要写书评

暂无评论

Plasmonic nanoprinting:thinner,brighter&swifter

引用

Light(Science & Applications) 2023年第1期12卷 39-39页

作者： Lei Jin Cheng-Wei Qiu Key Laboratory of RF Circuits&System of Ministry of Education School of Electronics and InformationHangzhou Dianzi UniversityXiasha High Education ParkHangzhou 310018China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117583Singapore

The plasmonic nanoprinting displays fade-resistant colours with ultrahigh resolution and opens a new avenue toward thedigital colour *** ideal product of nanoprinting requires low-cost production,high-saturation perfo... 详细信息

关键词： printing saturation colour

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：