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PET image Reconstruction based on Multi-kernel Fusion 16

PET Image Reconstruction based on Multi-kernel Fusion

引用

16th international conference on signal Processing systems, ICSPS 2024

作者： Dong, Yisheng Sheng, Yuxia College of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China

ISBN: (纸本)9781510689251

Positron emission tomography (PET) is a commonly used medical imaging modality, but it has high noise at low doses. To further optimize PET image reconstruction, this paper proposes a novel approach that incorporates magnetic resonance (MR) image information into kernel-based PET image reconstruction. This method integrates MR image texture information into the kernel matrix of the PET prior information;the integrated information is subsequently incorporated into the forward projection model of PET. First, Haralick texture features from the MR images are obtained. Then, a kernel function is constructed using prior information from PET images and texture information from MR images. Finally, the kernel-based PET image reconstruction method is utilized to generate the reconstructed images. Experimental results demonstrate that the proposed method exhibits superior reconstruction performance compared to other existing kernel-based PET image reconstruction methods. © 2025 SPIE.

关键词： Positrons

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Emergency rescue system for chemical industrial parks based on IoT 4

Emergency rescue system for chemical industrial parks based ...

引用

4th international conference on Machine Learning and Intelligent systems Engineering (MLISE)

作者： Wei, Zhongxia Liu, Zeliang Xu, Qin Wang, Ying Jiangxi Bros Pharmaceut Co Ltd Jiujiang Peoples R China Jiujiang Univ Jiujiang Peoples R China

ISBN: (纸本)9798350375084;9798350375077

With the advancement of technology, the use of IoT technology for information management of safety production in chemical industrial parks is of great significance. This article designs an emergency rescue system for chemical industrial parks based on the internet of Things, which mainly consists of a main control module, infrared detection module, image acquisition module, voice prompt module, network transmission module, etc. This system adopts Zigbee wireless networking technology, which has the characteristics of easy operation, low power consumption, low cost, easy expansion, and easy maintenance. Practice has shown that in the social environment of energy conservation and emission reduction, the system has high application value.

关键词： Emergency rescue system internet of Things ZigBee Intelligent control

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Deep learning-based ECG signal processing algorithms and their applications in cardiac health monitoring 4

Deep learning-based ECG signal processing algorithms and the...

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4th international conference on Advanced Algorithms and signal image Processing, AASIP 2024

作者： Zhang, Zhiguo Zhonghuan Information College Tianjin University of Technology Tianjin China

ISBN: (数字)9781510682818

ISBN: (纸本)9781510682801

This paper explores deep learning-based algorithms for electrocardiogram (ECG) signal processing and their applications in cardiac health monitoring. Initially, we provide an overview of the fundamental principles of ECG signals and the suitability of deep learning for ECG signal processing. Subsequently, we discuss data preprocessing techniques and the selection and construction of deep learning models aimed at enhancing the accuracy of ECG signal processing. Finally, the focus is on the application of these algorithms in the detection of arrhythmias and the diagnosis of myocardial ischemia, validated through experimental results. The findings of this study offer new technological approaches for cardiac health monitoring and foster the application of deep learning in the field of ECG signal processing. © 2024 SPIE.

关键词： Electronic health record

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2023 7th international conference on Communication and Information systems An Improved IOTA Protocol based on Optimal Midway Walk

2023 7th International Conference on Communication and Infor...

引用

IEEE international conference on Communication and Information systems (ICCIS)

作者： Hongcheng Wu Hui Zhi Yangyang Liu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University School of Electronic and Information Engineering Anhui University Hefei China Hefei Zhilian Technology Industry Investment Co. Ltd Hefei China

IOTA (internet of Things Applications) protocol aims to provide a secure and trustworthy protocol for realizing data-value interactions between IoT devices, and it has become the next possible direction for the development of Blockchain applications. IOTA protocol has the problem that the time-consuming cumulative weight update grows too fast with the increase of the number of transactions, this paper proposed an improved IOTA protocol based on optimal midway walk, the improved protocol uses cutting-edge transaction selection algorithm of weighted Monte Carlo Markov random walk to reduce cumulative weight update delay. Firstly, this improved IOTA protocol mainly ensures the efficiency of transaction confirmation without losing the security of consensus by introducing the optimal midway walk method, i.e., the starting point of each walk is chosen to depart at an optimal location. Secondly, this paper designs the indirect verification identity record algorithm and the layer degree of confirmation principle are designed to realize the improved IOTA protocol's resilience and resistance to Parasite chain attack. The experimental results show that the improved IOTA using random function to select the midway walk starting point from i-50λ, to i-75λsubstantially solves the system computational burden problem and greatly reduces the cumulative weight update delay.

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ML-based failure detection approach for predictive maintenance in an industry 4.0 oriented web manufacturing control application 7

ML-based failure detection approach for predictive maintenan...

引用

IEEE 7th international conference on Advanced Technologies, signal and image Processing (ATSIP)

作者： Smaoui, Sirine Baklouti, Mouna Univ Sfax Natl Engn Sch Sfax CES Lab Sfax Tunisia

ISBN: (纸本)9798350351491;9798350351484

With the increasing reach of Industry 4.0, the internet of Things (IoT) and Artificial Intelligence (AI) and many other technologies, have emerged as pivotal components in the era of information technology. Recent progress in AI, and its sub-field machine learning (ML), have influenced numerous research domains inside the industry, achieving improvements that were not possible with conventional optimization techniques, notably illustrated in the case of predictive maintenance. A significant component of predictive maintenance is fault detection. The goal of predictive maintenance is to avoid future machine failure and consequent downtime by anticipating faults in machinery. As a result, the aim of this research is to employ ML models for fault identification process. A concrete dataset was employed with real sensors' outputs allowing to make analysis of faults in machines mounted with various types of sensors. Four distinct supervised ML algorithms were applied in our work in which their hyper-parameters were tuned with both Grid Search and Random Search methods. A comparative study between the algorithms' performances was made in order to select the best one with highest metrics percentages. A web-based application was also developed, to monitor data and send alerts when detecting anomalies either via SMS, email or inside the provided web interface.

关键词： Industry 4.0 IoT AI ML Predictive Maintenance Fault Detection Grid Search Random Search Web Application

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Bearing-crossing Localization technology for UAV Target based on signal Characteristics 16

Bearing-crossing Localization Technology for UAV Target base...

引用

16th international conference on signal Processing systems, ICSPS 2024

作者： Lu, Shanshan Wu, Kun Dai, Wenrui PLA Army Academy of Artillery and Air Defense China

ISBN: (纸本)9781510689251

Passive bearing-crossing localization technology has an important application in the scenario of UAV (Unmanned Aerial Vehicle) target positioning, in which the removal of false intersection points in the process of multi-target location is a key issue. To address this problem, a bearing-crossing localization technology based on the signal characteristics of UAVs is proposed. Firstly, the algorithm analyzes the characteristic parameters of the image transmission signal of UAV. Then, according to the characteristic parameters, the correlation between the signal and the corresponding UAV target is established, and the multi-target bearing-crossing localization problem is transformed into multiple single-target location problems, so as to eliminate false intersection points. Finally, the pseudo-linear least squares method is used to complete the bearing-crossing localization of multiple UAV targets. Simulation results show that the algorithm has good positioning effects and reliability in the positioning of multiple UAV targets. © 2025 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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Research on cryptographic medical image information hiding method based on chaotic system 24

Research on cryptographic medical image information hiding m...

引用

2024 international conference on Virtual Reality, image and signal Processing, ICVISP 2024

作者： Liu, Zilong Haikou University of Economics Hainan Haikou China

ISBN: (纸本)9798400710926

With the continuous advancement of internet technology, the transmission and storage of medical images in the network environment are becoming increasingly frequent. Ensuring the security of these image data has become an urgent and critical task in the field of medical information management today. This paper proposed a medical image encryption method with"numerical invariance" using the Kent chaotic system. Additionally, the paper explores methods for embedding text information within encrypted medical images. Experimental results indicated that the encryption scheme proposed in this study could restore the original medical images and their sensitive information without any damage during the decryption process, and effectively embedded and extracted text information within the encrypted medical images. © 2024 Copyright held by the owner/author(s).

关键词： Information hiding

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Spread-Spectrum based a New Secured Robust imageWatermarking Scheme 3rd

Spread-Spectrum Based a New Secured Robust ImageWatermarking...

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3rd international conference on Network Security and Blockchain technology

作者： De, Supriyo Maity, Soumalya Bhaumik, Jaydeb Pal, Pabitra Giri, Debasis Maulana Abul Kalam Azad Univ Technol Dept Comp Applicat Nadia 741249 India Maulana Abul Kalam Azad Univ Technol Dept Informat Sci PG Nadia 741249 India Jadavpur Univ Dept Elect & Telecommun Engn Kolkata 700032 India Maulana Abul Kalam Azad Univ Technol Dept Informat Technol Nadia 741249 India

ISBN: (纸本)9789819780501;9789819780518

Nowadays, the advancement of modern communication systems, along with internet usability, enhances the application of multimedia data in various fields. In this context, security in multimedia data is highly demanding to prevent unauthorized access, as well as to ensure confidentiality. This paper introduces a new reversible blind imagewatermarking scheme to validate the image authentication and confidentiality for secret information. To address this aim, a spread-spectrum-based message hiding technique is developed. The reduced Lorenz map combined with the sine-cos map is employed here to produce a key-dependent pseudo-random number (PRN), which is directly mapped into the cover image according to the bit pattern of the secret message. On the other hand, the message hiding has been performed in the cover image by decomposing it using a two-level integer wavelet transform (IWT). The robustness of the scheme is further improved by employing Hamming (7, 4) code and a geometric distortion correction module. Several cover images are used to examine the effectiveness of the proposed scheme. The experimental results present that this approach has better or equivalent robustness against common sig-D nal processing distortions and geometric distortions compared to relevant existing schemes.

关键词： Blind image watermarking Reversible IWT Chaos-based PRN Spread-spectrum Robustness Imperceptibility

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Automated Detection of image-based Abusive Bengali Memes Using Ensemble and Deep Learning Models

Automated Detection of Image-Based Abusive Bengali Memes Usi...

引用

2024 IEEE international conference on signal Processing, Information, Communication and systems, SPICSCON 2024

作者： Rukaiya Amin, Md Rabiol Jahan, Israt Karim, Syed Anayet Department of CSE CCN University of Science and Technology Cumilla Bangladesh Department of CSE East West University Dhaka Bangladesh Department of Natural Science Port City International University Chattogram Bangladesh

ISBN: (纸本)9798331510213

In the realm of internet communication, memes have emerged as a powerful means of expression, swiftly disseminating emotions and ideas. The ability to classify memes, particularly in languages with regional nuances such as Bengali, poses unique challenges. The primary question of this study addresses how to efficiently classify Bengali memes, given their diverse and context-specific nature. The motivation for this research stems from the growing significance of memes as a form of internet communication and the need for effective methods to categorize and understand them. This work presents here a computational model of classifying Bengali memes using convolutional neural networks. Convolutional neural networks have the potential to learn, adapt, and rearrange themselves. Alongside employing traditional machine learning models—Support Vector Machine (SVM), Logistic Regression, and Random Forest for meme classification. The experiment illustrated a CNN model with Bi-LSTM layers is implemented, achieving a test accuracy of 69.49%. Additionally, Among the machine learning models, the Random Forest achieves the highest accuracy of 64%. Our study shows that this comparison between CNN-based and traditional models provides valuable insights for future research in meme analysis and content moderation. © 2024 IEEE.

关键词： Convolutional neural networks

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LWT-based Watermarking Scheme for image Authentication 3rd

LWT-Based Watermarking Scheme for Image Authentication

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3rd international conference on Network Security and Blockchain technology

作者： Jana, Sachchidananda Pal, Pabitra Mahadani, Asim Kumar Chowdhuri, Partha Giri, Debasis Prabhat Kumar Coll Dept Comp Sci & Applicat Contai 721404 India Maulana Abul Kalam Azad Univ Technol Dept Comp Applicat Nadia 741249 India Bankura Unnayani Inst Engn Dept Comp Sci & Engn Bankura WB India Vidyasagar Univ Dept Comp Sci Midnapore 721102 India Maulana Abul Kalam Azad Univ Technol Dept Informat Technol Nadia 741249 India

ISBN: (纸本)9789819780501;9789819780518

Digital image authentication is a critical process in ensuring the integrity and ownership of digital images, especially in the age of widespread digital manipulation and unauthorized use. In this manuscript, an image watermarking scheme has been proposed by combining the Lifting Wavelet Transform (LWT) and the Least Significant Bit (LSB) for image authentication. The goal of the proposed scheme is to achieve robustness against various attacks while maintaining the high-quality visual appearance of the watermarked image. Experimental evaluations are conducted to assess the performance of the proposed hybrid watermarking scheme. Various metrics, including Peak signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Normalized Correlation (NC), are employed to measure the visual quality, robustness, and authentication accuracy of the watermarked image. The results demonstrate the effectiveness of the proposed scheme in achieving high-quality visual appearance, robustness against attacks, and accurate image authentication.

关键词： Watermarking LWT LSB Authentication Secret key

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