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Integration of UWB and BLE for Indoor Positioning based on Network Adjustment 25

Integration of UWB and BLE for Indoor Positioning Based on N...

引用

25th IEEE international conference on Mobile Data Management (IEEE MDM)

作者： Chen, Yu-Jung Lu, Eric Hsueh-Chan Natl Cheng Kung Univ Dept Geomat Tainan Taiwan

ISBN: (纸本)9798350374551;9798350374568

The development of Indoor Positioning systems (IPS) is being catalyzed by the growing influence of the internet of Things (IoT). In the field of indoor positioning, balancing low cost and high precision has always been a challenging task. Ultra-wideband (UWB) technology stands out for high precision but comes with higher costs, while Bluetooth Low Energy (BLE), on the other hand, is costeffective but faces challenges in signal stability. Therefore, this study explores the integration of BLE and UWB, presenting an innovative approach aimed at enhancing the accuracy of indoor positioning while maintaining cost-effectiveness. The proposed approach leverages BLE trilateration for initial solutions and optimizes coordinates through network adjustment using UWB distance observations between neighboring users, achieving more stable and accurate indoor positioning. The experiments conducted with varying user counts demonstrate that UWB adjustments outperform Bluetooth adjustments and trilateration, significantly improving positioning accuracy by up to 65% of trilateration. The results highlight the potential of this integrated approach to overcome challenges in indoor positioning systems, offering a more robust and precise solution.

关键词： Wireless Localization Indoor Positioning Network Adjustment UWB BLE

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Interaction based Credibility Analysis of News on Facebook Using Machine Learning Methodologies 16

Interaction Based Credibility Analysis of News on Facebook U...

引用

16th international conference on signal-image technology and internet-based systems (SITIS)

作者： Sharmin, Sadia Saha, Sudipa Hoque, Tasin Nadib, Khandaker Abrar Bangladesh Univ Engn & Technol Comp Sci & Engn Dhaka Bangladesh

ISBN: (纸本)9781665464956

Fake news and its dissemination are growing more popular as social media becomes more pervasive in our daily lives and Facebook users are particularly vulnerable. Numerous studies on detecting fake news have already been published. However, a study focusing on fake news in low resource languages like Bengali propagated through Facebook is rare due to data extraction challenges. In this paper, we work with fake news in the Bengali language and used various supervised machine learning algorithms to classify Facebook posts as fake, real, or satire and found XGBoost to generate the best outputs. Instead of the content, we trained our model with the interaction data of the posts to make it resilient against adversarial attacks. We observed that ensemble methods perform well with such social media metrics.

关键词： Fake News CrowdTangle Facebook Machine Learning

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CB-FL: Cluster-based Federated Learning applied to Quality of Experience modelling 16

CB-FL: Cluster-Based Federated Learning applied to Quality o...

引用

16th international conference on signal-image technology and internet-based systems (SITIS)

作者： Porcu, Simone Floris, Alessandro Atzori, Luigi Univ Cagliari DIEE I-09123 Cagliari Italy Univ Cagliari CNIT I-09123 Cagliari Italy

ISBN: (纸本)9781665464956

The Federated Learning (FL) approach can be exploited to build a solution to data sparsity and privacy protection issues (e.g., utilization of user-sensitive data) in Quality of Experience (QoE) modelling. In this paper, we investigate whether it is possible to obtain improvements in FL-based inference by grouping data sources to build separate inference systems. To this, we adopted an experimental based approach: firstly, we identified different clusters of users, from a public QoE dataset, based on user-related QoE influence factors and the distributions of the quality rating scores provided by the users;secondly, we developed a Cluster-based FL QoE predictor and conducted experimental tests to compare the QoE prediction performance with that obtained by a centralised learning approach and a standard FL approach. The obtained results show that the proposed approach achieved the best QoE prediction performance (in terms of accuracy, precision, recall, and F1-Score), followed respectively by the standard FL and the centralised approach.

关键词： Quality of Experience Federated Learning QoE estimation Neural network Collaborative Learning Clustering

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A Differentiable Framework for image-based SAR Target Reconstruction with 3D Gaussian Splatting 2

A Differentiable Framework for Image-Based SAR Target Recons...

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2nd IEEE international conference on signal, Information and Data Processing, ICSIDP 2024

作者： Liu, Zinan Niu, Shengren Qiu, Xiaolan Peng, Lingxiao Zhong, Lihua Ding, Chibiao Chinese Academy of Sciences The National Key Laboratory of Microwave Imaging Technology Aerospace Information Research Institute Beijing China Chinese Academy of Sciences Suzhou Key Laboratory of Microwave Imaging Processing and Application Technology Aerospace Information Research Institute Suzhou China Chinese Academy of Sciences Key Laboratory of Technology in Geospatial Information Processing and Application Systems Aerospace Information Research Institute Beijing China

ISBN: (纸本)9798331515669

image-based synthetic aperture radar (SAR) target three-dimensional (3D) reconstruction is an important application for extracting target information from high-resolution two-dimensional (2D) SAR images. However, due to the complex mechanism of SAR imaging, developing a data-driven, fully automated 3D reconstruction framework with explicit physical constraints is very difficult. Thus, this paper proposes a differentiable framework for image-based SAR target reconstruction with 3D Gaussian Splatting, which can automatically realize the 3D target reconstruction from multi-view SAR images. Specifically, the proposed differentiable framework accumulates and generates simulated SAR images according to the SAR imaging geometry and projection during the forward simulation stage. By calculating the loss between the simulated and ground truth SAR images and backpropagating, the spatial positions of the 3D Gaussians are continuously adjusted until convergence, generating the 3D point cloud model of the target. The experiment is conducted on the constructed T72 SAR image dataset and the reconstruction results demonstrate the effectiveness of the proposed framework. © 2024 IEEE.

关键词： 3D reconstruction

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Automatic Modulation Classification based on wavelet image and Convolutional Neural Network 8

Automatic Modulation Classification Based on wavelet Image a...

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8th international conference on Computer and Communication systems, ICCCS 2023

作者： Xiong, Bo Zhong, Yi Pu, Wei Zhang, Feng Southwest China Research Institute of Electronic Equipment Chengdu China

ISBN: (纸本)9781665456128

Automatic modulation recognition is an important fundamental technology in the field of wireless communication, and effective modulation identification of target signals is a necessary prerequisite for applications such as software radio and spectrum management. The complexity of modulation patterns and the increasing congestion of spectrum occupation bring great challenges to traditional classification methods. The authors propose an end-to-end signal modulation classification method based on wavelet image and convolutional neural network, which characterizes the intra-pulse signal based on continuous wavelet transform(CWT), and design a convolutional neural network to extract and classify the characteristics of signal wavelet time-frequency images. At the same time, a small sample dataset of 8 signal modulation types is generated, and the effectiveness of the proposed method is verified by combining data enhancement in 10 signal-to-noise ratio environments, and the classification accuracy is about 87% when the signal-to-noise ratio is 8dB. © 2023 IEEE.

关键词： Wavelet transforms

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Adaptive Dynamic Programming-based Feature Tracking Control for image Disturbances Visual Servoing Manipulators 9

Adaptive Dynamic Programming-Based Feature Tracking Control ...

引用

9th international conference on Control Science and systems Engineering, ICCSSE 2023

作者： Ren, Xiaolin Yan, Haoyu Ma, Bing Changchun University of Technology Department of Control Science and Engineering Changchun China

ISBN: (纸本)9798350339055

Aiming at the problem of feature point interference and noise in visual servoing (VS) control, an image feature tracking control method based on adaptive dynamic programming (ADP) is proposed. The output signal of the image sensor is used as the feedback signal of the VS manipulators system for closed-loop control. While the adaptive state observer is used to estimate the image disturbances in the VS model of the manipulator, and the cost function is improved according to the observed disturbance values. On the basis of ADP technology, a critic neural network (NN) was constructed to derive the Hamilton-Jacobi-Bellman (HJB) equation. According to Lyapunov theory, it is proved that the visual servoing manipulators system is asymptotically stable. Finally, numerical simulations are given to verify the effectiveness of the algorithm. © 2023 IEEE.

关键词： Manipulators

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Novel Lightweight Encryption Scheme based on Transformation Matrix and ChaCha20 Algorithm for Secure Snap Transmission

Novel Lightweight Encryption Scheme Based on Transformation ...

引用

2024 IEEE international conference on Intelligent systems and Advanced Applications, ICISAA 2024

作者： Sellam, V. Kumar, M. Ranjith Sudeesh Kumar, V. Mahendira Kumar, S. Tharun Kaarthik, G.K. Vellore Institute of Technology School of Computer Science and Engineering Chennai India Amrita Vishwa Vidyapeetham Amrita School of Computing Dept. of Computer Science and Engg. Chennai India

ISBN: (纸本)9798331539948

A revolution for ultra-security in image transmission, due to the innovation and upgrade of cryptographic algorithms occurred during recent years. Proposed image encryption algorithm with ChaCha20 Our matrix-based shuffling not only improves image security but also adds to the complexity of data stealth. The scheme is made up of four main operations: Rearranging pixels in the image with a transform matrix, encryption using ChaCha20, decryption to get back the original image and finally descrambling it by applying inverse transformation changes. In this way, integrity is maintained and image privacy becomes secure. The provided transformation matrix makes scrambling with reversible operations and speed possible against all of the known standard attacks to which ChaCha20 encryption is subjected. The suggested method, led to a Peak signal Noise Ratio of 361.20 and zero Mean Squared Error indicating a top-quality reconstructed image concerning the original image. The study is raising the security alerts provided by ChaCha20, a relatively new but efficient and high-fidelity encryption solution that makes it an attractive option in today's increasingly digitalized environment where data security has become everyone's top priority. © 2024 IEEE.

关键词： signal to noise ratio

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Design of a Gate Driver based-on E-mode p-GaN HEMTs Handling 650V/10A GaN Power Device 22

Design of a Gate Driver Based-on E-mode p-GaN HEMTs Handling...

引用

22nd IEEE Interregional NEWCAS conference (NEWCAS)

作者： Pozo, Nataly Procel, Luis-Miguel Trojman, Lionel Univ San Francisco Quito Inst Micro & Nanoelect IMNE Quito Ecuador Isep Lab Informat Signal & Image Elect & Telecommun L Paris France

ISBN: (纸本)9798350361766;9798350361759

This paper presents the design of a monolithically integrated Gallium Nitride (GaN)-IC gate driver based on Enhancement-mode p-GaN HEMT technology. The design uses 650V GaN-on-SOI Process Designing Kit (PDK). The design complexity of this technology lies in the absence of p-type devices. Consequently, Resistor-Transistor Logic (RTL) inverters and Push-Pull Buffers are introduced instead of a complementary logic. To effectively handle the power device (650V/10A) switching, the gate driver is sized to achieve 7V in the output. To validate the performance of the proposed gate driver, transistor-level and post-layout simulations are carried out considering an input signal of 2MHz. Turn-on/turn-off time (3.77ns/2.32ns), overall circuit efficiency (99.3%) and temperature variation effects are analysed.

关键词： Gate Driver Gallium Nitride Integrated Circuit IC Enhancement-mode p-GaN HEMT GaN-IC

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Distributed Honey pot based on Block chain 10

Distributed Honey pot Based on Block chain

引用

10th international conference on Communication and signal Processing, ICCSP 2024

作者： Vinod, S. Pandi, C. Sheik Dhanveer Hussain, S. Pavithran, C. Arjun Sathish, M. Tejas, R.S. Vel Tech Multi Tech Dr. Rangarajan Dr.Sakunthala Engineering College Department of Cse Chennai Avadi India

ISBN: (纸本)9798350353068

Proactive protection policies must be activated in order to protect our networks, systems, and data assets. On the internet, millions of individuals as well as bots are waiting to attack vulnerable systems. Honeypot technology is a useful tool for attracting attackers and draining their resources. In contrast, the traditional static honeypot can be easily recognized thanks to anti-honeypot technology. By instance, most dynamic honeypots can imitate the real system in real time and let users engage with a surreptitious invader. The project's goal is to use the Blockchain technology to store port access data on a private chain and decentralize our system. With information that needs to be protected, many organizations and institutions have real-time cyber concerns that can be addressed by the system that is being built. Numerous uses of the blockchain already exist in other cyberspaces, such as cryptocurrency, etc. Numerous researchers are utilizing it to address a range of other data security-related issues. © 2024 IEEE.

关键词： Blockchain

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5th international conference on 3D Imaging Technologies—Multidimensional signal Processing and Deep Learning, 3DIT-MSP and DL 2023

5th International Conference on 3D Imaging Technologies—Mul...

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5th international conference on 3D Imaging Technologies—Multidimensional signal Processing and Deep Learning, 3DIT-MSP and DL 2023

ISBN: (纸本)9789819751808

The proceedings contain 59 papers. The special focus in this conference is on 3D Imaging Technologies—Multidimensional signal Processing and Deep Learning. The topics include: Digital Twin technology Approach based on the Hierarchical IDP Tensor Decomposition;modeling technology for Complex Dynamic Operating Environment of Power Grid based on Digital Twins;design of a Digital Twin Platform based on Distributed Computing and Resource Optimization Algorithms;deep Learning Network Optimization Combining 3D Imaging and Multidimensional signal Processing;time Series Prediction Application of Deep Learning in Multidimensional signal Processing;improving Abstractive Summarization with Graph Sequence Model;advancing Semantic Segmentation and Interpretation of 3D images Through Integrated Deep Learning and Natural Language Processing Techniques;children’s Toy Product Design based on Augmented Reality technology;based on the Neural Network Classification of Human Behavior Research;development of an Independent Adversarial Sample Detection Model, based on image Features;Visualization and Analysis of CNN Adversarial Training;video Violence Detection Method based on Multi-Feature and Graph Convolutional Network;Enhancing Realized Volatility Prediction: An Exploration into LightGBM Baseline Models;terminal Anomaly Discovery technology based on Service Behavior Deviation;An Efficient CRNN Model with the Multi-scale Feature Fusion for Text Recognition from Chinese Medical Reports;advancing Precision Drug Screening: Integrating Imaging technology and Artificial Intelligence for Novel Models;a Short Video Retrieval Method based on Spatio-Temporal Feature Fusion;spatial Data Transformation and Fusion Expression based on Geometric Algebra;EM2-YOLO: Lightweight Remote Sensing image Detection;Tower-Type Detection of UAV Aerial image based on YOLOV5 Network Model.

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