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TOA Estimation of channel data in Multipath Environment 3

TOA Estimation of channel data in Multipath Environment

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3rd international conference on Sensors and Information Technology (ICSI)

作者： Li, Jia Li, Yong Univ Elect Sci & Technol China Chengdu Peoples R China

ISBN: (纸本)9781510666122;9781510666139

Indoor geolocation technique based on the time-of-arrival (TOA) has advantages of low cost, high accuracy compared with other location technologies. However, traditional TOA estimation methods based on signal correlation or peak finding have difficulty keeping high ranging accuracy and robustness in multipath conditions. To address the problem, an efficient and easily-implemented algorithm as a high-resolution TOA estimator in multipath environments is presented in this paper. Numerical simulation is conducted to verify the performance of the proposed TOA estimation algorithm. Results show the algorithm outperforms conventional method in estimation accuracy and robustness.

关键词： Channel impulse response multipath environments time-of-arrival (TOA) estimation CFRB-WRELAX

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3rd international conference on Intelligent Edge processing in the IoT Era, Edge-IoT 2022, and the 4th international conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022

3rd International Conference on Intelligent Edge Processing ...

引用

3rd international conference on Intelligent Edge processing in the IoT Era, Edge-IoT 2022, and the 4th international conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022

ISBN: (纸本)9783031359811

The proceedings contain 12 papers. The special focus in this conference is on Intelligent Edge processing in the IoT Era, and Smart Governance for Sustainable Smart Cities. The topics include: Continuous Measurement of Air Pollutant Concentrations in a Roadway Tunnel in Southern Italy;rating Urban Transport Services Quality Using a Sentiment Analysis Approach;edge Computing with Low-Cost Cameras for Object Detection in Smart Farming;Evaluating Maximum Operating Distance in COTS RFID TAGS for Smart Manufacturing;philippine Stock Direction Forecasting Utilizing Technical, Fundamental, and News Sentiment data;ioT Architectures for Indoor Radon Management: A Prospective Analysis;adversarial Training for Better Robustness;integrating Computer Vision and Crowd Sourcing to Infer Drug Use on Streets: A Case Study with 311 data in San Francisco;Machine Learning Approach to Crisis Management Exercise Analysis: A Case Study in SURE Project;quantitative Evaluation of Saudi E-government Websites Using a Web Structure Mining Methodology.

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Sobel Edges Key-Based Method for Steganography in Spatial Domain Images 3

Sobel Edges Key-Based Method for Steganography in Spatial Do...

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3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Haq, Thoha Ikhwanul Mafazy, Muhammad Meftah Agustinus, Jeems Terri De La Croix, Ntivuguruzwa Jean Ahmad, Tohari Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia University of Rwanda African Centre of Excellence in Internet of Things Kigali Rwanda

ISBN: (纸本)9798350317022

Safeguarding confidential messages has emerged as a central concern within the domain of network security, prompted by issues related to breaches of network usage policies and unauthorized access to public networks. Various data protection techniques, including cryptography and steganography, have been devised to counter these challenges. Cryptography involves encrypting secret messages into ciphertext, while steganography conceals secret messages within codes embedded in digital files, such as images, audio, and videos. Unlike cryptography, steganography focuses on securely transmitting secret messages over public networks by concealing them. This paper introduces a novel steganographic algorithm that addresses these challenges by leveraging the Sobel algorithm to detect image edges. The algorithm combines identified edges with a secret key. It applies a modulus function to the cover image for data concealment. Experimental results showcase the algorithm's efficacy, revealing a stego image of superior quality with a peak signal-to-noise ratio of 53.18 dB. This marks a substantial enhancement over existing methods, particularly noteworthy considering our approach's accommodation of a sizable payload. © 2023 IEEE.

关键词： data hiding Information security national security network infrastructure steganography

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Real-time signal processing of UWB Fuze Based on 1D-CNN Model 3

Real-time Signal Processing of UWB Fuze Based on 1D-CNN Mode...

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3rd international conference on Defence Technology, ICDT 2022

作者： Luo, Yao Hou, Jun Shi, Xiaoshan Hao, Shijun Huang, Zhonghua School of Mechatronical Engineering Beijing Institute of Technology Beijing China Jilin Jiangji Special Industries Co. Ltd Jilin China

The main source of the burst-height error of UWB fuze is the random error related to the fuze signal processing method. Therefore, the use of reliable algorithms to reduce the error as much as possible to avoid bursting early and misfire is very important to improve the burst-height precision of fuze. In this paper, taking the output of the fuze sampling and integrating circuit as the research object, a real-time signal processing method based on the 1D-CNN model is proposed. Simulation results show that the target recognition rate of the 1D-CNN algorithm is as high as 100%, with no bursting early or misfires, and the mean absolute time error is as low as 0.0202s. The burst-height error is effectively reduced. © Published under licence by IOP Publishing Ltd.

关键词： Errors

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Fast multilevel B-spline approximation for scattered data on GPU architecture using CUDA 3

Fast multilevel B-spline approximation for scattered data on...

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3rd international conference on Computer Graphics, Image, and Virtualization, ICCGIV 2023

作者： Xu, Luyan Huang, Qi College of Computer Science and Technology Jilin University Changchun130015 China College of Computer Science and Technology Zhejiang University Hangzhou310027 China

ISBN: (纸本)9781510671720

This paper presents a novel algorithm for fast approximating scattered data, based on leveraging the parallelism of Graphics processing Unit (GPU) to achieve high performance. The algorithm is designed to transform all key steps of computation into the corresponding CUDA kernel functions, which allows for the simultaneous execution of thousands of threads. We also employ powerful optimization techniques in our implementation to avoid atomic operations and to enhance program efficiency. Experimental results show that our algorithm achieves significant speedup comparing with conventional CPU-based solutions. Furthermore, using adaptive spatial subdivision, we extend our algorithm to handle large scale datasets, and it has good adaptability even for arbitrary datasets with highly varying data densities. © 2023 SPIE.

关键词： Graphics processing unit

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The Effectiveness Daubechies Wavelet and Conventional Filters in Denoising EEG signal 1

引用

3rd international conference on Digital Technologies and Applications

作者： Felja, Meryem Bencheqroune, Asmae Karim, Mohamed Bennis, Ghita Sidi Mohammed Ben Abdellah Univ LIMAS Lab Fac Sci Dhar El Mahraz Fes Morocco

ISBN: (数字)9783031298608

ISBN: (纸本)9783031298592;9783031298608

The electroencephalogram (EEG) is an electrical signal representing brains' activity. in fact;it remains an effective tool for the diagnosis of cerebral pathologies. Nevertheless, in case of the presence of artifacts;the signal analysis becomes more and more complicated;therefore, it is essential to eliminate them. There are a lot of research works that are interested in removing artifacts from EEG signal. This paper suggests a new method dedicated to denoise EEG signals, essentially created by a combination of conventional filters and wavelet transforms. To evaluate the effectiveness of our technique;three criteria were used: the signal-to-noise ratio (SNR), the cross-correlation function (CCF) and the mean square error (MSE). The experimental results indicate that our method can be a powerful tool for removing artifacts without modifying the data.

关键词： EEG signal de-noising artifacts conventional filters wavelet transform db4

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Identification of critical stations and links in urban rail networks under urban bus connections 3

Identification of critical stations and links in urban rail ...

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3rd international conference on Internet of Things and Smart City, IoTSC 2023

作者： Wu, Yixuan Central University of Finance and Economics Beijing100081 China

ISBN: (纸本)9781510666375

Nowadays, urban rail transit network (URTN) has become an indispensable and important transportation infrastructure in rapidly developing cities, then how to effectively guarantee the normal operation of urban rail transit network and effectively prevent the impact of risky incidents on the performance of URTN to be increasingly prominent. This paper identifies critical URTN stations and links through a quantitative study of urban metro network vulnerability modelling analysis, taking into account urban bus connections. The paper also uses big data acquisition and analysis processing techniques to obtain more realistic and accurate traffic analysis data for the passenger flow characteristics of the urban metro network. Afterwards, the vulnerability of the URTN network is analysed through the accessibility measurement of the change in travel cost when different stations (links) are deliberately attacked under alternative transportation modes, so as to identify the critical stations and links in the URTN network. This paper presents an analysis based on the Shenzhen metro network as a case study. The results show that the consequences of disrupting different stations on URTN accessibility clearly differ when stations with different passenger flow characteristics are processed in the context of big data technology, and that some stations that are not disrupted are found to become more vulnerable under the failure of surrounding stations. The proposed approach provides a reliable metric and methodology for the identification of critical stations and links in urban rail transport networks, and their impact on decision-making under disruption. © 2023 SPIE.

关键词： Big data

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3rd international conference on Machine Learning, Image processing, Network Security and data Sciences, MIND 2021

3rd International Conference on Machine Learning, Image Proc...

引用

3rd international conference on Machine Learning, Image processing, Network Security and data Sciences, MIND 2021

ISBN: (纸本)9789811958670

The proceedings contain 68 papers. The special focus in this conference is on Machine Learning, Image processing, Network Security and data Sciences. The topics include: Analyzing Wearable data for Diagnosing COVID-19 Using Machine Learning Model;comparative Analysis of Classification Methods to Predict Diabetes Mellitus on Noisy data;a Robust Secure Access Entrance Method Based on Multi Model Biometric Credentials Iris and Finger Print;region Classification for Air Quality Estimation Using Deep Learning and Machine Learning Approach;neuroevolution-Based Earthquake Intensity Classification for Onsite Earthquake Early Warning;detection of Credit Card Fraud by Applying Genetic Algorithm and Particle Swarm Optimization;traditional Indian Textile Designs Classification Using Transfer Learning;classification of Electrocardiogram signal Using Hybrid Deep Learning Techniques;automated Detection of Type 2 Diabetes with Imbalanced and Machine Learning Methods;fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques;real-Time Detection of Vehicles on South Asian Roads;stock Market Prediction Using Ensemble Learning and Sentimental Analysis;Multiple Feature-Based Tomato Plant Leaf Disease Classification Using SVM Classifier;a Methodological Review of Time Series Forecasting with Deep Learning Model: A Case Study on Electricity Load and Price Prediction;unexpected Alliance of Cardiovascular Diseases and Artificial Intelligence in Health Care;a Novel Smartphone-Based Human Activity Recognition Using Deep Learning in Health care;An Enhanced Deep Learning Approach for Smartphone-Based Human Activity Recognition in IoHT;classification of Indoor–Outdoor Scene Using Deep Learning Techniques;prediction of the Reference Evapotranspiration data from Raipur Weather Station in Chhattisgarh using Decision Tree-Based Machine Learning Techniques;deep Transfer Learning and Intelligent Item Packing in Retail Management;preface.

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Estimation of Frequency-Selective MIMO Channels Using DDST and ZCZ Sequences 3

Estimation of Frequency-Selective MIMO Channels Using DDST a...

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3rd international conference on Advanced Electrical Engineering, ICAEE 2024

作者： Toaba, Hanane Meriem Addad, Mouad Djebbari, Ali Telecommunications and Digital Signal Processing Laboratory Djillali Liabes University of Sidi Bel Abbes Sidi Bel Abbes Algeria

ISBN: (纸本)9798350349351

data Dependent Superimposed Training (DDST) was proposed as an improvement of Superimposed Training (ST) channel estimation scheme. The idea is to cancel the effect of information data on the ST performance by superimposing an additional sequence. This paper is devoted to the study of the channel estimation performance of Multiple Input Multiple Output (MIMO) based on DDST method. First, we propose a new approach that allows obtaining a closed-form expression for the variance of the estimation error. Second, the precise correlation properties of the training sequences are extracted. Indeed, it is shown that the training sequences must have a zero correlation zone in their autocorrelation and cross-correlation functions. Consequently, optimal and interference-free estimation performance is obtained when the channel length is lower than the zero zone length. © 2024 IEEE.

关键词： Frequency estimation

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Research on 5G differential protection data compression transmission technology 3

Research on 5G differential protection data compression tran...

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3rd international conference on Digital signal and Computer Communications, DSCC 2023

作者： Jinan, Li Haixuan, Fu Guangming, Guo Guofeng, Zhao Ming, Hu State Grid Information and Communication Industry Group Co. Ltd BeiJing China

ISBN: (数字)9781510666566

ISBN: (纸本)9781510666559

The differential protection of distribution network has good selectivity and quick action, but it is difficult to apply in areas where the laying rate of optical fiber is not high. The emergence of 5G communication technology with low delay and high reliability provides a new communication solution for the application of distribution network differential protection technology. However, the 5G distribution network differential protection has a large amount of differential current data in its application, which leads to the problem of large data flow and high cost of 5G communication terminals. This paper proposes a scheme of adding differential protection data compression transmission technology to the 5G terminal, which not only does not affect the differential protection service, but also saves the communication data flow, providing a reference for the wide application of 5G technology in differential protection in the future. © 2023 SPIE.

关键词： data compression

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