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检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

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Full-Wave Electromagnetic Simulation Approach for Integrated 3D-IC Design

Full-Wave Electromagnetic Simulation Approach for Integrated...

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Electronics Packaging Technology conference (EPTC)

作者： Anushruti Jaiswal Tejkiran Patil Mahesh Babu Dhanekula Rahul Kumar Ansys Software Pvt. Ltd

ISBN: (数字)9798331522001

ISBN: (纸本)9798331522018

This paper utilizes FEM (Finite Element Method) based full-wave 3D electromagnetic simulation tool by Ansys HFSS (High-Frequency Structure Simulator) to solve complex 3D-IC systems. Fusion of powerful advanced meshing and solving technologies referred to as “Mesh Fusion”, is employed to handle different scales of geometries or regions ranging from nanometers to centimeters. Each region including Package, Interposer, logic die (CPU, Central processing Unit), and eight stacked HBM dies are meshed parallelly and independently by optimum mesh algorithms. Fully coupled fields are generated across different regions. CPU Die and HBM's are connected through a silicon interposer placed on a Ball-Grid Array package and are communicating at a Nyquist data rate of 5.8 Gbps. signal integrity parameters such as return loss, insertion loss, near and far end crosstalk parameters, and eye diagram opening are observed for high-speed data, strobe lines between the CPU die and HBM. The significance of performing integrated 3D-IC simulation in comparison to isolated standalone interposers on these parameters is also investigated. In addition, electric field coupling among different regions is studied in detail.

关键词： Couplings Three-dimensional displays Computational modeling System performance Insertion loss Scattering parameters Central processing Unit Finite element analysis signal integrity Electromagnetic coupling

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Research on 5G Network Coverage Optimization Data Transmission System with UAV Relay Enhancement

Research on 5G Network Coverage Optimization Data Transmissi...

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Electrical, Automation and Computer Engineering (ICEACE), International conference on

作者： Cheng Haitao Wang Zezhao Wu Chao Luo Fuxing Wu Wenbin State Grid Electric Power Space Technology Company Limited Beijing China State Grid Tibet Electric Power Company Limited Lasa China State Grid Fujian Electric Power Research Institute Fuzhou China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

In the context of evolving 5G network technology, the fusion of unmanned aerial vehicles (UAVs) as relay nodes presents an innovative approach to enhance coverage and optimize data transmission. In this paper, orthogonal frequency division multiplexing (OFDM) technology, combined with advanced time-frequency synchronization algorithm and unique training sequence linear method, is used to improve the efficiency and reliability of data transmission in enhanced 5G networks. The proposed system architecture, combined with a special signal processing algorithm, shows a significant increase in data throughput and a decrease in packet loss rate through rigorous system simulation. It is worth noting that the simulation results show that the data transmission efficiency is increased by 30% and the packet loss rate is reduced by 20% under different environmental conditions, which shows the robustness and adaptability of the system. These findings highlight the transformative potential of drones in optimizing 5G network coverage, opening the way for future innovations in mobile communications technology.

关键词： Training Time-frequency analysis 5G mobile communication OFDM signal processing algorithms Packet loss Throughput Data communication Synchronization Drones

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Three Dimensional Beamforming and Limited Feedback Precoding for Future LTE-advanced Systems with Large-Scale Antenna Arrays

Three Dimensional Beamforming and Limited Feedback Precoding...

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IEEE conference on Vehicular Technology (VTC)

作者： Guixian Xu Weiguo Ma Yuwei Ren Kai Zhang Xin Su Shanzhi Chen School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing P.R. China China Academy of Telecommunications and Technology(CATT) State Key Laboratory of Wireless Mobile Communications Beijing P.R. China

ISBN: (纸本)9781479980895

Very large multiple input multiple output (MIMO) system (referred to as massive MIMO) is currently investigated as a novel technology to enhance system throughput for future cellular systems. In this paper, we study a practical implementation of massive MIMO technology in LTE-advanced systems. Firstly, two three dimensional(3D) dynamic beamforming schemes are proposed to realize full spatial resolution of the elevation as well as the traditional azimuth domain. These schemes are implemented through combining a couple of precoder matrix indictor (horizontal PMI and vertical PMI) during the channel state information (CSI) feedback stage. Furthermore, we also propose a limited feedback precoding algorithm named PMI-based regularized zero-forcing precoding (P-RZF) to achieve multi-user MIMO (MU-MIMO). System level simulation is performed to evaluate the proposed schemes.

关键词： Array signal processing Three-dimensional displays Antenna arrays MIMO Heuristic algorithms Long Term Evolution

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Longitudinal road gradient estimation using vehicle CAN bus data

Longitudinal road gradient estimation using vehicle CAN bus ...

引用

IEEE International conference on Systems, Man and Cybernetics

作者： S. Mangan J. Wang Q. Wu Department of Electrical Engineering and Electronics University of Liverpool Liverpool UK

Knowledge of the longitudinal road gradient can be used by advanced Cruise Control (ACC) and automatic transmission control systems to provide more accurate longitudinal velocity control. This paper presents a method of estimating the longitudinal road gradient just using the available vehicle CAN bus data. This method ensures that no extra sensors need to be added to the vehicle, and therefore there is no added cost to the vehicle. The gradient estimation algorithm is developed combining vehicle modelling techniques and parameter estimation methods. A simple longitudinal acceleration vehicle model is derived using standard vehicle model equations. The unknown longitudinal gradient parameter is then estimated using the data available on the CAN bus.

关键词： Road vehicles Automatic control signal processing algorithms Costs Radar tracking Control systems Vehicle detection Vehicle driving Velocity control Parameter estimation

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GastroNet FusionAI: Artificial Intelligence Diagnosis of Clinical Gastric Cancer Tumors

GastroNet FusionAI: Artificial Intelligence Diagnosis of Cli...

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IEEE International conference on Information Communication and signal processing (ICICSP)

作者： Jialun Xu Xiayang Wu Zhenyuan Xu School of Statistics Nanjing Audit University Nanjing China School of Statistics Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

The significant advancements in natural image processing have sparked widespread interest in applying similar deep learning techniques to medical imaging. Unlike natural images, detecting details in medical images requires capturing finer details, necessitating the use of specially designed network architectures rather than standard ones developed for large-scale, downscaled natural images. Additionally, medical imaging often requires the fusion of images from multiple perspectives to form an accurate diagnosis. Therefore, we propose a novel AI algorithm called GastroNet FusionAI, an advanced algorithm specifically designed for gastric cancer diagnosis. It employs an innovative image fusion strategy that effectively integrates images from four different imaging perspectives in gastric cancer detection. This approach not only provides a more comprehensive view but also significantly enhances the accuracy of disease detection by enriching the image content. The development of GastroNet FusionAI aims to improve the early detection rate of gastric cancer, which is crucial for increasing patient survival rates. Gastric cancer is one of the most common types of cancer globally and has a high incidence in certain regions. Despite the enormous potential of AI technology in gastric cancer detection, research on its effectiveness and reliability remains relatively scarce. Existing studies are often limited by small sample sizes, homogeneous datasets, or a lack of rare gastric cancer subtypes. To overcome these challenges, we employed Real-Time Test-Time Augmentation (R-TTA) to expand the original dataset (consisting of 54,706 images) to 273,530 images. This method not only improved the model's learning efficiency but also effectively reduced the risk of overfitting. Our model was trained on a preprocessed dataset from three different hospitals and four different imaging perspectives, and its performance was evaluated using cross-validation to ensure the broad applicability of

关键词： Accuracy signal processing algorithms Cancer detection Real-time systems Artificial intelligence Medical diagnostic imaging Image fusion Cancer Overfitting Tumors

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Upgrade of the data acquisition and control system of the ASDEX upgrade microwave reflectometer

Upgrade of the data acquisition and control system of the AS...

引用

IEEE NPSS conference on Real Time

作者： A. Combo A. Silva P. Varela M. Manso J. Sousa C. Correia C.A.F. Varandas Instituto Superior Técnico Associação EURATOM IST Centro de Fusão Nuclear Lisboa Portugal Centro de Electrónica e Instrumentação Department de Fisica Universidade de Coimbra Polo II Coimbra Portugal

Microwave reflectometry is an important diagnostic to characterize the plasma electron density in fusion experiments. The broadband frequency swept microwave reflectometry system of the ASDEX upgrade tokamak covers the frequency range of 16 to 100 GHz. In order to fully exploit the diagnostic capabilities it is mandatory to upgrade the data acquisition and control system. It should comply with faster frequency sweep times and improved time resolution as well as accuracy allowing, for example, plasma position and shape measurements for control purposes, as it is foreseen for ITER. A new PCI-based system is under development based on a digitizer card with 2 channels, 12-bit resolution and a waveform generator with one channel, 16-bit resolution. Both cards have 512 Mbytes of memory, a digital signal processor (DSP) for advanced processing modes and a field programmable gate array (FPGA) for real-time algorithms and complex trigger managing modes. The system is able to support multiple cards (digitizers and signal generators) operating synchronously at a maximum rate of 210 MSamples/second

关键词： Data acquisition Control systems Variable speed drives Frequency Reflectometry Plasma diagnostics signal resolution signal generators Field programmable gate arrays Plasma density

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Implementation of channel decoding and other bit rate processing algorithms for 3rd generation W-CDMA mobile terminals

Implementation of channel decoding and other bit rate proces...

引用

IEEE conference on Vehicular Technology (VTC)

作者： J. Woodard T. Fisher-Jeffes Cambridge Technology Centre UbiNetics Limited Melbourn Hertfordshire UK

3rd Generation systems promise to revolutionise mobile communications by offering high rate and extremely flexible channels. An important part of this power and flexibility comes from the advanced bit rate processing operations. In this paper we detail these bit rate processing operations, and describe their real-time implementation in both software and hardware. UbiNetics is the leading supplier of 3G test mobiles to infrastructure manufacturers. These mobiles allow users to test high rate (up to 384 kbits/s) channels in real deployment scenarios. In such high rate mobiles the complexity of the bit and chip rate operations is similar. The main component of the bit rate processing at the receiver is the channel decoding, and both convolutional and turbo codes are specified by 3GPP and 3GPP2. We describe the issues involved in the fixed-point implementation of turbo and Viterbi (1967) decoders, and the other bit rate processing operations on both fixed point DSPs and in hardware. These issues include both the complexity and memory requirements of the decoding operations. Comparisons of results from our workstation based floating point simulations and those achieved on the fixed-point target platforms are presented. We also describe novel techniques for reducing the complexity of the decoders.

关键词： Decoding Bit rate Hardware Testing 3G mobile communication Manufacturing Convolutional codes Turbo codes Viterbi algorithm Digital signal processing

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Upper Limb Motor Imagery Task Classification for EEG-based Brain Computer Interface Development

Upper Limb Motor Imagery Task Classification for EEG-based B...

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IEEE International conference on Electronics, Computing and Communication Technologies (CONECCT)

作者： Kazi Newaj Faisal Pratik Haribhau Kurhe Kashish Shyamkishor Upadhyay Rishi Raj Sharma Department of Electronics Engineering Defence Institute of Advanced Technology Pune India Department of E&TCE Nutan College of Engineering and Research Pune India

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939

Motor imagery (MI) research in brain-computer interfaces (BCIs) for specific limb movements is an important field with practical applications. There is a necessity to create a multi-category paradigm for MI that encompasses single-limb movements and accurately interprets them, which is essential for the progression of MI-based BCIs. Moreover, categorizing brain activity among diverse individuals continues to be a substantial hurdle in the field of MI-based BCIs. Motivated by this, a new approach for classifying six different upper limb movement tasks based on electroencephalogram (EEG) signals is presented in this study. Various time-domain statistical and band-power features are obtained from the pre-processed EEG signals. These features, along with an improved ensemble classifier, achieved an overall micro-averaged accuracy of 97.50% and a mean accuracy of 99.17% in categorizing diverse MI tasks from EEG signals. The derived features were evaluated using multiple machine learning classifiers to demonstrate their capability to capture distinct information between classes. The proposed method outperforms recent approaches applied to the same dataset, indicating its potential to advance MI-based BCIs development across various applications.

关键词： Accuracy signal processing algorithms Machine learning signal processing Motors Feature extraction Electroencephalography

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Multimodal Conversational Bot for Multilingual Personalized Song Recommendation

Multimodal Conversational Bot for Multilingual Personalized ...

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Recent Innovation in Smart and Sustainable Technology (ICRISST), International conference on

作者： E. Keerthana K S Rekha Department of Computer Science and Engineering Saveetha Engineering College Chennai India

ISBN: (数字)9798350309140

ISBN: (纸本)9798350309157

advanced Multimodal Conversational Bot powered by the LLama 2 model, which has 13 billion parameters. The bot can provide personalized song recommendations that are flexible across languages. It uses text, and audio inputs to understand users from different linguistic backgrounds. It accurately assesses the user's mood in multiple languages through sentiment analysis and refines emotional context using image and video analysis. This allows it to offer song recommendations considering the user's mood, preferences, and realtime context, regardless of their chosen language. The bot also handles incomplete or unclear queries in multiple languages, ensuring precise and relevant song suggestions. A custom dataset tailored for music recommendations is used for finetuning, enhancing the bot's ability to provide personalized and contextually relevant song suggestions.

关键词： Sentiment analysis Technological innovation Accuracy Translation Mood Music signal processing algorithms Transforms Chatbots Audio recording

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Design of a CAN Analyzer and Its HMI for Fault Communication Diagnosis in Connected Cars

Design of a CAN Analyzer and Its HMI for Fault Communication...

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Electrical Engineering and Automatic Control (ICEEAC), International conference on

作者： Hadjer Saadi Mohamed Yacine Boushaki Hadjer Daoudi Abdelmalek Belloula USTHB Laboratory of Instrumentation LINS ENSTICP Laboratory of Research in TIC(LABORTIC) Algiers Algeria Department of Electrical Engineering and Computing National Higher School of Advanced Technologies Algiers Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

This article provides an overview of CAN (Controller Area Network) analyzers used to observe and analyze communications on a CAN network. These analysis devices are widely used in various fields such as automotive, embedded electronics, industrial automation, etc. They are useful and offer numerous advantages, including easy message reading. Additionally, this paper describes the design of a new CAN analyzer and it's Human Interface Machine (HIM) we have created, along with its own features and characteristics, that we called it CANalyzerS, s means a simplified version compared to existing one. This type of CAN analyzer is specifically dedicated to monitoring and diagnosing faults in connected cars. The results obtained are very satisfactory.

关键词： Irrigation Connected vehicles signal processing algorithms Network analyzers Safety Maintenance Monitoring

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