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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yunfan Zhang Yun Jin Guanlin Chen Yong Ma Maoshen Jia Peng Song School of Physics and Electronic Engineering JiangSu Normal University Xuzhou China School of Linguistic Sciences and Arts JiangSu Normal University Xuzhou China Faculty of Information Technology Beijing University of Technology Beijing China School of Computer and Control Engineering Yantai University Yantai China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Alzheimer's Disease patients often exhibit cognitive decline, with language impairment being a prominent biomarker. Spontaneous speech analysis provides a non-invasive screening approach for AD. Large language models, increasingly employed for textual feature extraction, show potential in early AD prediction. However, Automatic Speech Recognition transcription errors, stemming from language impairments in AD and Mild Cognitive Impairment patients, can lead to information loss during feature extraction. To mitigate this, we introduce the Corrected ASR Projecting, CAP model. During training, ASR-transcribed text is manually corrected one by one, and then textual features are extracted independently using BERT, Claude, GLM, and GPT-3. The CAP model is trained by aligning the ASR transcription feature space with the corrected ASR transcription feature space. Experiments on the NCMMSC 2021 dataset demonstrate that the CAP model improves classification performance for AD recognition, with the maximum accuracy improvement reaching 5.55%.

关键词： Training Speech analysis Accuracy Large language models Signal processing Feature extraction Acoustics Speech processing Alzheimer's disease Automatic speech recognition

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Optical Coherence Tomography Classification Based on Transfer Learning and RA-Attention 11th

Optical Coherence Tomography Classification Based on Transfe...

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11th International Conference on Health Information Science, HIS 2022

作者： Lian, Xiaoyi Chen, Lina Ji, Xiayan Shen, Fangyao Guo, Hongjie Gao, Hong College of Physics and Electronic Information Engineering Zhejiang Normal University Zhejiang321004 China College of Mathematics and Computer Science Zhejiang Normal University Zhejiang321004 China Faculty of Computing Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783031206269

Macular disease is one of the major causes of blindness. Optical coherence tomography (OCT) is a commonly used ophthalmic diagnostic technique to assist ophthalmologists in their analysis and treatment. However, manual analysis is a time-consuming, heavy and subjective process. In this paper, we propose an improved EfficientNet model for retinal OCT image classification, named TL-RA-EfficientNet. It introduces a Re-Attention module to enable the model to identify the lesions with small areas and fuzzy shapes. During training, a data augmentation strategy is introduced to solve the class-imbalance problem, and a transfer learning strategy is adopted to speed up the convergence of the model. The experimental results on the UCSD dataset show that the average recognition accuracy, sensitivity and specificity of our model are 99.9%, 99.9% and 99.97%, respectively, which are more effective than previous classification methods. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Optical tomography

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Error Performance of RIS-Assisted NOMA Networks with Imperfect Channel State Information

Error Performance of RIS-Assisted NOMA Networks with Imperfe...

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IEEE Conference on Vehicular technology (VTC)

作者： G. Cao M. Li H. Yuan W Chen L. Li A. Raouf School of Electronics Information Engineering Taiyuan University of Science and Technology China School of Computer Science and Mathematics Kingston University UK Department of Electronic Engineering Tsinghua University China Faculty of Technology at UISTAM Abidjan

This paper investigates the impact of imperfect channel state information (ipCSI) on the performance of RIS-assisted NOMA vehicular networks while considering the effect of imperfect successive interference cancellation (ipSIC). Moreover, we present novel closed-form pairwise error probability (PEP) expressions with arbitrary L users. The PEP is used to evaluate the union bound on the bit error rate of NOMA users. Finally, the analysis is supported by numerical and Monte Carlo simulation results. We show that the impact of ipCSI with ipSIC on each user’s error rate performance is great at the high P s . We also confirm that the error rate performance of the system decreases with the increase of RUs.

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Dynamic Clustering-based Task Orchestrator in Mobile Edge Computing

Dynamic Clustering-based Task Orchestrator in Mobile Edge Co...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Mona Alghamdi Atm Alam Arumugam Nallanathan Asma Cherif School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Information Technology Faculty of Computing and Information Technology Center of Excellence in Smart Environment Research King AbdulAziz University Saudi Arabia

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361278

Multi-access Edge Computing (MEC) is an emerging paradigm designed to provide storage, computing and communication capabilities in the proximity of end-user devices. This approach facilitates the deployment of real-time on mobile devices with limited capabilities. To realize the MEC goals, it is essential to effectively manage and offload computing tasks to both edge and cloud-based resources. However, the dynamic nature, uncertainty and mobility within edge computing environments pose significant challenges to resource management. Furthermore, the inherent software and hardware heterogeneity, coupled with the distributed nature of architecture, complicates the development of efficient task offloading strategies that can adeptly manage resources across both edge and cloud platforms. In this paper, we propose a cluster-based task edge orchestrator, where edge servers are grouped based on service demands, resource ability and other factors to improve the overall service. Our proposed method leverages the K-Medoids clustering algorithm to dynamically form clusters of suitable edge servers for offloading computing tasks with minimum response time. To validate our proposed solution, we have orchestrated a comprehensive series of tests using EdgeCloudSim. Results show that our approach outperforms its competitor in terms of average service time by around 8 %.

关键词： Wireless communication Wide area networks Multi-access edge computing Uncertainty Sensitivity Software Servers

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Tcn-Inception: Temporal Convolutional Network and Inception Modules for Sensor-Based Human Activity Recognition

SSRN

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SSRN 2024年

作者： Helmi, Ahmed M. Al-Qaness, Mohammed A.A. Dahou, Abdelghani Trouba, Nafissa Toureche Elaziz, Mohamed Abd College of Physics and Electronic Information Engineering Zhejiang Normal University Jinhua321004 China School of Computer Science and Technology Zhejiang Normal University Jinhua321004 China Mathematics and Computer Science department University of Ahmed DRAIA Adrar01000 Algeria Department of Mathematics Faculty of Science Zagazig University Zagazig44519 Egypt Computer Engineering Dept. Engineering and Information Technology College Buraydah Private Colleges Buraydah51418 Saudi Arabia Computer and Systems Engineering Dept. Faculty of Engineering Zagazig University Zagazig44519 Egypt

HighlightsTCN-InceptionTemporal Convolutional Network and Inception modules for Sensor-based Human Activity RecognitionMohammed A. A. Al-qaness,Abdelghani Dahou,Nafissa Toureche Trouba,Mohamed Abd Elaziz,Ahmed M. Helmi• Employing the Inception modules with Temporal Convolutional Network and using residual connections for capturing complex temporal patterns in HAR signals.• Extraction of multi-scale features and capturing of extended temporal dependencies using the novel model• Consideration of training efficiency and model depth through the strategic use of residual connections and batch normalization.• Studying four different complex datasets, with variant set of activities, and carrying out an ablation study for more detailed analysis of the model. © 2024, The Authors. All rights reserved.

关键词： Internet of things

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Optimizing Consistency in Distributed Data Services: The CP-Raft Protocol for High-Performance and Fault-Tolerant Replication

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IEEE Transactions on Services Computing 2025年

作者： Du, Haiwen Wang, Kai Wu, Yulei Zhang, Hongke Harbin Institute of Technology School of Computer Science and Technology Weihai China University of Bristol School of Electrical Electronic and Mechanical Engineering Faculty of Science and Engineering Bristol BS8 1UB United Kingdom Beijing Jiaotong University School of Electronic and Information Engineering Beijing 100044 China

The data consistency protocol is a core component of distributed data services that provide fault-tolerance and data consistency across distributed data centers and even edge networks. Raft is a popular approach due to its ease of implementation and superior performance. However, Raft adopts a sequential log entry processing strategy, where log entries without dependencies are not allowed to be processed in parallel, limiting system performance in high-concurrency scenarios. To address this challenge, researchers propose Raft-based protocols that support out-of-order apply (OOApply), which is called OORaft. Existing OORaft protocols adopt the Paxos-style election and replication process to merge missing entries on leader candidates. It leads to problems such as extra overhead on dependency analysis, availability when the network is partitioned, and incomplete correctness verification. This paper proposes a concise paralleled Raft protocol called CP-Raft, which is the first OORaft protocol to focus on dependency analysis overhead and to use full TLA⁺ validation for the leader election process. Specifically, 1) CP-Raft proposes a Raft-aligned three-step election method that significantly simplifies the difficulty of understanding and solves the availability problem when the network is partitioned. 2) CP-Raft applies a leader-side bitmap-based dependency analysis and representation method to break through the performance bottleneck caused by the high overhead of dependency analysis. 3) CP-Raft discusses why existing methods cannot achieve OORaft correctness verification using TLA⁺ in a limited time and uses phased verification methods to ensure its correctness. Finally, we implement CP-Raft based on an open-source Raft protocol and discuss its potential performance bottlenecks in various scenarios. The experimental results under high dependency strength workloads demonstrate that CP-Raft achieves 1.5× transaction per second (TPS) performance of DP

关键词： consistency protocol Distributed systems fault tolerance variant raft protocol

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Design and Analysis of a Hexagonal Circular Photonic Crystal Fiber With Ultra-High Negative Dispersion and Low Confinement Loss

SSRN

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SSRN 2023年

作者： N-Yorbe, John Napari Akowuah, Emmanuel Kofi Danlard, Iddrisu Dede, Albert Haxha, Shyqyri Department of Computer Engineering Faculty of Electrical and Computer Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana Kwame Nkrumah University of Science and Technology Ghana Department of Electronic Engineering School of Engineering Physical and Mathematical Sciences Royal Holloway University of London Surrey Egham United Kingdom

This paper proposes a Hexagonal Circular Photonic Crystal Fiber (HC-PCF) with uniform tiny air holes around the core, obtaining ultra-high negative dispersion, high birefringence and low confinement loss. The modal properties of the HC-PCF are investigated using the full-vectorial-Finite Element Method (FEM) with a perfectly matched layer as the boundary condition. The numerical investigations show ultra-high negative dispersion of -25503 ps/***, the birefringence of [[EQUATION]], the nonlinearity of [[EQUATION]] and a confinement loss of [[EQUATION]] dB[[EQUATION]] at the wavelength of 1550 nm. Moreover, the proposed HC-PCF exhibits a high negative dispersion and multiple Zero Dispersion within the 800 to 1800 nm wavelengths range. Specifically, the high negative dispersion, low Confinement Loss and multiple Zero Dispersion Wavelengths (ZDW) give the proposed HC-PCF high Power Spectral Density (PSD), hence suitable for long-range optical transmissions. © 2023, The Authors. All rights reserved.

关键词： Photonic crystal fibers

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Profitability of a hybrid heating system for a single-family house in Poland based on a heat pump and photovoltaics

Profitability of a hybrid heating system for a single-family...

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2020 Applications of Electromagnetics in Modern engineering and Medicine, PTZE 2020

作者： Drzymala, A. Korzeniewska, E. Institute of Economics University of Lodz Lodz Poland Institute of Electrical Engineering Systems Faculty of Electrical Electronic Computer and Control Engineering Lodz University of Technology Lodz Poland

The article presents an analysis of the profitability of an investment consisting of a heat pump and a photovoltaic installation located in Poland for an exemplary single-family house. The factors that have a significant impact on the profitability and payback time of such installations operating in a dual configuration are described. A simulation of profitability taking into account the legal regulations and support systems was presented. The considered case of profitability concerns a specific technical solution in which an 8 kW air / water pump was used. The pomp cooperates with a photovoltaic installation with a power of up to 10kW, operating in a discount system with an energy consumption factor of 0.8. For the purposes of this article, the DCF (discounted cash flow) method was used. Using this method, it is possible to calculate the market value of the investment with the assumed boundary criteria. A comparison of the economic efficiency of an investment can be presented using the IRR (internal rate of return) method. © Published under licence by IOP Publishing Ltd.

关键词： Profitability

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Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS technology

Analog, Programmable Switched Capacitor FIR Filter Based on ...

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Paweł Pawłowski Rafał Długosz Marek Radkowski Mateusz Wątły Adam Dąbrowski Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Signal Processing and Electronic Systems Poznań University of Technology Poznań Poland Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland

The paper presents project and its verification of a prototype integrated circuit containing an analog, programmable finite impulse response (FIR) filter, implemented in CMOS 350 nm technology. The structure of the filter is based on the switched capacitor technique. In circuits of this type, one of main challenges is an efficient implementation of filter coefficients, which result from several factors described in this work. When implementing such filters as programmable circuits, the values of their coefficients have to be limited to a selected range, i.e. a given resolution in bits. In the implemented prototype filter, the filter coefficients are represented by 6 bits in sign-magnitude notation, so they can take 63 different values only. In such filters, it is not possible to directly implement any frequency response of the filter. Each time, it is necessary to properly round the theoretical values of the coefficients so that they fit into the available range of discrete values resulting from the implementation. The authors of the work designed an algorithm that allows such matching. The paper also presents results of measurements of the prototype chip.

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Novel Size-Reduced Coaxial Cavity Filters For 5G Networks

Novel Size-Reduced Coaxial Cavity Filters For 5G Networks

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Tran Thi Thu Huong An Tri Bao Trong-Hieu Le Vu Van Yem Faculty of Electronics and Computer Engineering University of Economics - Technology for Industries Hanoi Vietnam 11 Physics 2 Hanoi - Amsterdam High School for The Gifted Hanoi Vietnam Faculty of Electronics and Telecommunications Electric Power University Hanoi Vietnam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Vietnam

ISBN: (数字)9798350351019

ISBN: (纸本)9798350351026

This paper presents a novel coaxial cavity filter using in 5G NR Base Stations. The resonant cylinder utilizes stepped impedance technology combined with folding edge bending and rectangular zigzag arm structure on the top to improve the electrical coupling mainline. Therefore, dimensions of cavity filter are reduced while maintaining the filter performance parameters. This proposed resonator is verified in the design of one filter integrated in C-Band 5G station with ten orders and four zero points. The dimensions of the filter are only 56.81 mm x 15.56 mm x 9.5 mm (length x width x height). The simulation results show the passband of 304MHz, the return loss of 15.6dB, the insertion loss of 0.1dB. These specifications are suitable for applying in Band C 5G network.

关键词： Couplings 5G mobile communication C-band Simulation Resonator filters Resonant frequency Insertion loss Cavity resonators Passband Impedance

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