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检索条件"任意字段=International Congress on Image and Signal Processing, BioMedical Engineering and Informatics"

共 2036 条记录，以下是131-140 订阅

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Design and Analysis of an Anonymous and Fair Trading Scheme for Electronic Resources with Blind Adaptor Signature 16

Design and Analysis of an Anonymous and Fair Trading Scheme ...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Hu, Xiaoming Chen, Haichan Shanghai Polytechnic University School of Computer and Information Engineering Institute for Artificial Intelligence Shanghai China

ISBN: (纸本)9798350330755

With the development of the blockchain technology, blockchain is being widely used in finance, education, healthcare and other important fields, and its decentralized nature also brings new ideas for solving the problems of credit risk, uncertainty of transactions and imperfect regulatory system that exist in third-party e-commerce platforms. For the privacy security problem of electronic resource transactions in blockchain, this paper proposes an anonymous and fair transaction scheme for electronic resource, which is based on a new blind adaptor signature technology, the blind adaptor signature combines the atomicity of the adaptor signature and the blindness of the blind signature, which is applied to the payment channel, and the transactions are carried out in the payment channel, so that the establishment of the payment channel does not require a deposit, and the transactions are settled instantly and with fairness, and at the same time improve the privacy security, has a good application prospect in the field of electronic resource transaction. © 2023 IEEE.

关键词： Blockchain

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A Novel Multi-Target Tracker Using GNN and SPRT for Anti-Decoy Interference 16

A Novel Multi-Target Tracker Using GNN and SPRT for Anti-Dec...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Guo, Yuxia Li, Xiangqian Meng, Zhongjie Sun, Jinping Polytechnical University School of Astronautics Northwestern Xi'an China Beihang University School of Electronic and Information Engineering Beijing China

ISBN: (纸本)9798350330755

In battlefield environments such as electronic warfare, countering deceptive interference from the enemy is a challenging task. Among various forms of interference, the use of decoys is a common and effective method. In such situations, the tracking side needs to employ suitable methods for data association and track management to deal with potential decoy interference. This paper adopts the global nearest neighbor (GNN) algorithm as the data association and filtering framework, and the sequential probability ratio test (SPRT) as the track management method. To address the degradation in tracking performance caused by range ambiguity in pulse Doppler radar, this paper introduces the concept of range ambiguity gating. Experimental results demonstrate that the proposed range ambiguity gating technique effectively mitigates data association errors and plays a significant role in electronic warfare environments. © 2023 IEEE.

关键词： Doppler radar

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Implicit Neural Representation with Learnable Fourier Feature Encoding for View Synthesis 16

Implicit Neural Representation with Learnable Fourier Featur...

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16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Huo, Zhiyong Guo, Quan Nanjing University of Posts and Telecommunications College of Telecommunications and Information Engineering Nanjing China

ISBN: (纸本)9798350330755

The implicit neural representation uses a Multilayer Perceptron (MLP) to parameterize a 3D scene as a continuous function. Synthetic images are inaccurate due to the inherent "spectral bias"of MLPs, which preferentially learn low-frequency information during network training. With learnable Fourier Features, we encode position in the network in a shift-invariant manner, capturing position relationships in multidimensional space effectively. A periodic activation function is also introduced to learn the information contained in higher-order derivatives, allowing the MLP to extract high-frequency information from input images efficiently. Simulation experiments are conducted on two types of datasets, and the quality of view synthesis is superior to previous work. Ablation experiments demonstrate that trainable encoding based on learnable Fourier Feature mapping combined with periodic activation functions can significantly improve the quality of novel view synthesis. © 2023 IEEE.

关键词： Fourier transforms

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Low Complexity Physical Layer Security Schemes Based on Channel Characteristics of Near-Field XL-MIMO Systems: A Survey 17

Low Complexity Physical Layer Security Schemes Based on Chan...

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17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Li, Lin Zhang, Dengyin Hou, Huijun Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things China School of Internet of Things Nanjing University of Posts and Telecommunications China CETC 14th Research Institute Nanjing China

ISBN: (纸本)9798331507398

Extremely large-scale multiple-input and multiple-output (XL-MIMO) is one of the most promising key technologies for the coming sixth generation wireless communications. Considering passive eavesdropping threats, the influence of near-field channel characteristics of uplink multi-user XL-MIMO systems on the physical layer security schemes are analyzed in this paper. Then, a comprehensive survey of physical layer encrypted methods and low complexity detection methods is presented. Conclusively, it is pointed out that the study on low complexity and high reliability modulation encrypted methods based on near field channel characteristics for uplink multi-user XL-MIMO systems has very important research value for the next generation's green security communications. Some corresponding future potential research works for low complexity physical layer security schemes based on channel characteristics of near-field XL-MIMO systems are also presented in this paper. © 2024 IEEE.

关键词： image thinning

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A Novel Rehabilitation Training System for Hand Amputation Based on Mixed Reality 17

A Novel Rehabilitation Training System for Hand Amputation B...

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17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Liu, Le Guo, Yafei Li, Ke Tian, Guangye Institute of Intelligent Medical Engineering School of Control Science and Engineering Shandong University Department of Biomedical Engineering Jinan China Imperial College London Depatment of Life Science London United Kingdom

ISBN: (纸本)9798331507398

Hand loss impacts physical, mental, and social aspects of individuals' lives. Prosthetics offer a crucial pathway to regaining lost functionality. However, challenges such as phantom limb pain, discomfort, and high abandonment rates persist. This study introduces a rehabilitation system that combines mixed reality with prosthetic hand. The virtual interface includes four buttons, each triggered by a 3-second gaze: start recognizing, display virtual objects, start grasping, and exit. Start recognizing button activates object recognition, which outputs the corresponding pre-grasp gesture to guide the user. After starting grasping, the user will see both the virtual object and a virtual hand attached to the real prosthetic hand. The enhanced visual feedback is designed to improve the user's control ability over the prosthetic. Results showed that with the help of visual feedback, adjustment of grasp force is about 1s shorter than the situation without visual feedback. In the experiment where each object was grasped 30 times, the success rate of grasping the ball was 96.67%, the success rate of grasping the cylinder was 100%, and the success rate of grasping the cube was 90%. By integrating mixed reality interface and prosthetic hand, the system aims to accelerate the response time of prosthetic hand grasping and reduce cognitive load during rehabilitation training. The system might support amputees in performing more personalized rehabilitation tasks, ultimately facilitating early and successful adaptation to prosthetics. © 2024 IEEE.

关键词： Visual servoing

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Design and Evaluation of a Brain Electrical Properties Phantom at 3T 16

Design and Evaluation of a Brain Electrical Properties Phant...

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16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Wang, Shuyi Wu, Ting Sun, Zheng Chen, Shuai Liao, Yupeng Wang, Jianmei Wu, Fei Qiu, Xiaohui Gannan Medical University School of Medical Information Engineering Ganzhou China First Affiliated Hospital of Gannan Medical University Department of Medical Imaging Ganzhou China

ISBN: (纸本)9798350330755

We present a brain phantom designed to enable quantitative assessment of magnetic resonance electrical properties tomography (MREPT). The phantom consists of single-layer circular plate structure that contains an 8-element fiducial array;a 9-element electrical properties array. The phantom was imaged at 3.0T using magnetic resonance imaging (MRI) scanner to assess image uniformity, signal-to-noise ratio (SNR) and compare two types of MREPT techniques. Fiducial array analysis gives assessment of image uniformity and SNR analysis evaluate both temporal and spatial contributions. The reconstructed conductivity maps help to highlight regions in which boundary artifacts and reconstruction errors are likely to be severe in the MREPT images. The brain electrical properties phantom developed in this study presents itself as an excellent platform for clinical imaging development and quality assurance. © 2023 IEEE.

关键词： Tomography

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A Novel Fractional-Order Model of Medium-Frequency Respiratory Impedance 17

A Novel Fractional-Order Model of Medium-Frequency Respirato...

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17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Wang, Hongwei Li, Bin Mo, Hongqiang Xu, Yuanda Xu, Zhaoxiang Xie, Yanqing School of Automation Science and Engineering South China University of Technology Guangzhou510640 China South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou510640 China Guangzhou Medical University The First Affiliated Hospital Department of Critical Care Medicine Guangzhou510120 China Guangzhou Medical University The First Affiliated Hospital Guangzhou510080 China

ISBN: (纸本)9798331507398

Respiratory impedance in the medium-frequency range reflects the dynamic properties of airways and lung tissues, and plays an important role in the early diagnosis of pulmonary diseases. Fractional-order models can characterize complex dynamics with fewer parameters compared to integer-order models, and have been used to represent the medium-frequency characteristics of the respiratory impedance. There have been multiple fractional-order models, but there is no consensus on which model is most reasonable. This paper proposes a novel fractional-order model, which consists of a viscous resistance, an inertia resistance, and an elastic resistance. Unlike existing models, in the proposed model, the inertial resistance is represent with a fractional-order term, while the other two resistances are represent with integer-order terms. The proposed model was employed to represent the medium-frequency respiratory impedance determined by appling impulse oscillometry to 8 healthy subjects. The results in terms of fitting error and determination coefficient indicate that the proposed model fits the data well. Furthermore, when examining the variation of the parameters of the model over time, the results indicate that the parameters are highly correlated with tidal volume. However, the parameters of other existing fractional-order models did not exhibit this correlation. © 2024 IEEE.

关键词： Lung cancer

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Reconstructing HDR image from a Single Exposure LDR image with Global Feature Fusion 16

Reconstructing HDR Image from a Single Exposure LDR Image wi...

引用

16th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2023

作者： Huo, Zhiyong Yu, Jian Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Nanjing China

ISBN: (纸本)9798350330755

Modern digital cameras face inherent limitations when capturing the full luminance range in real-world scenarios, primarily due to hardware constraints. Additionally, challenging lighting conditions, such as severe over-exposure, often result in image detail distortion. Most CNN-based HDR methods are further hindered by their limited receptive fields, impeding their ability to recover fine details in overexposed areas. To address these issues, this paper introduces a novel architecture featuring a UNet-like base branch, complemented by a global feature fusion module. This module seamlessly blends local and global features, facilitating multi-scale information extraction for image reconstruction. Furthermore, the architecture incorporates a weighted branch to preserve well-exposed details and a global branch for capturing global features. By adopting this approach, our method not only achieves state-of-the-art performance in quantitative comparisons but also obtains excellent visual quality in assessments. In our experiment, we achieved a PSNR-μ score of 34.04 and an HDRVDP3 score of 8.311, outperforming the previous state-of-the-art methods by improvements of 0.02 and 0.01, respectively. © 2023 IEEE.

关键词： image reconstruction

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Adaptive Feature Optimization in fMRI Brain Networks for Alzheimer's Disease Detection via GA-SA 17

Adaptive Feature Optimization in fMRI Brain Networks for Alz...

引用

17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Zhou, Shusheng Zhou, S.S. Yang, Yan Yang, Y. School of Information Technology Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9798331507398

This study explores the use of Genetic Algorithm (GA), Simulated Annealing (SA), and a combined GA-SA approach for feature selection in the classification of Alzheimer's Disease (AD) based on fMRI data. The aim is to improve classification model accuracy by selecting the most relevant features through these optimization methods. Experiments were carried out on fMRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), with each test repeated 20 times to ensure stability, and average outcomes reported. The GA-SA method achieved the highest best cost value of 64.6944%, demonstrating its effectiveness in selecting key features, specifically features 1, 2, 5, 9, 10, and 11, which significantly improved the classification accuracy compared to using all features without optimization. The comparison with individual GA and SA approaches, as well as the non-optimized feature set, underscores the critical role of feature selection in boosting model performance. Our results suggest that hybrid optimization techniques like GA-SA are highly effective in enhancing feature selection processes for fMRI-based AD classification. © 2024 IEEE.

关键词： Genetic algorithms

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Multi-Agent Visual SLAM for 3D Coastline Reconstruction: Overcoming Synchronization and Dynamic Environment Challenges 17

Multi-Agent Visual SLAM for 3D Coastline Reconstruction: Ove...

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17th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2024

作者： Zhao, Sicheng Jain, Mayank Dev, Soumyabrata The ADAPT SFI Research Centre Dublin Ireland School of Computer Science University College Dublin Dublin Ireland Beijing-Dublin International College Beijing China

ISBN: (纸本)9798331507398

3D coastline reconstruction presents a significant challenge due to the complex and dynamic environment of coastal areas, characterized by fluctuating sea levels, vegetation, and irregular terrain. Visual Simultaneous Localization and Mapping (V-SLAM) technology offers a promising approach to addressing these challenges by enabling real-time mapping and pose estimation. Conventional V-SLAM methods, which are based on single-agent, are inadequate to meet the complex requirements of such environments. Consequently, multi-agent V-SLAM has emerged as a promising alternative;however, its implementation remains challenged by several unresolved issues. This paper examines the difficulties associated with multi-agent V-SLAM concerning synchronization and points out potential solutions to enhance its efficacy. Additionally, 3D coastline reconstruction is used as a case study to demonstrate the challenges encountered in real-world applications of multi-agent V-SLAM and to propose strategies for overcoming these obstacles. © 2024 IEEE.

关键词： Sea level

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