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Research on frame synchronization technology of terminal asynchronous serial communication 24

Research on frame synchronization technology of terminal asy...

引用

3rd international conference on signal processing, Computer Networks and communications, SPCNC 2024

作者： Wu, Zhongxing Zheng, Angang Du, Yina Guo, Ying Cui, Zhongning Shu, Yuankang China Electric Power Research Institute Co. Ltd. Beijing China China State Grid Henan Electric Power Company Henan Zhengzhou China China Electric Power Equipment and Technology Co. Ltd. Beijing China Vango Technologies Inc. Zhejiang Hangzhou China

ISBN: (纸本)9798400710834

This paper studies and designs a method of frame synchronization sequence detection using"0x7D86" as asynchronous serial communication. The method combines the high level of L symbols of frame interval as the symbol of frame synchronization. It is a frame synchronization protocol combining time interval and byte filling. The probability of false detection and missing detection of frame synchronization sequence under random error or burst interference and clock mismatch, and the relationship between error probability, number of high level interval and false alarm probability and missing alarm probability are studied. In the case of high bit error probability, fuzzy matching method is added to reduce the missing alarm probability. The results show that the detection method can greatly reduce the false alarm probability and missing alarm probability, and improve the stability and performance of asynchronous serial communication between terminal devices. © 2024 Copyright held by the owner/author(s).

关键词： Random errors

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Hybrid EEG signal processing Framework for Driver Drowsiness Detection Using QWT, EMD, and Bayesian Optimized SVM 3

Hybrid EEG Signal Processing Framework for Driver Drowsiness...

引用

3rd international conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Sardesai, Shilpa Gedam, Rahul Pune India Lcit Department of Electronics and Telecommunication Bilaspur India

ISBN: (纸本)9798331508456

Drowsiness among drivers poses an urgent safety problem in road transportation because it creates serious risks to both drivers and their passengers. Carrying out prolonged driving operations creates a mind state between full wakefulness and sleep. The research presents a new supervised learning approach to evaluate sleep stages which helps detect driver sleepiness and trigger prompt alerts. A deep feature extraction system based on QWT with time-frequency scalogram and EMD artifact removal generates features from EEG signals. The system uses evaluation of decomposition levels' energy measurements to build Energy Vectors which lead to the processing of each EEG signal into feature vectors. Data classification in this research occurs through implementation of the BO-SVM classifier which features Bayesian optimization. The BO-SVM classifier delivers exceptional accuracy results because it reaches 99.17% maximum accuracy beyond typical SVM classifier performance levels. This paper combines signal processing methods with machine learning techniques which result in advanced EEG data-based sleep stage diagnosis to enhance driver safety. © 2025 IEEE.

关键词： Image reconstruction

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Performance Enhancement in Terms of BER and Data Rate of Next Generation Optical networking System using Raman Amplifier 3

Performance Enhancement in Terms of BER and Data Rate of Nex...

引用

3rd international conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Khant, Shailesh Makwana, Mayur Patel, Atul Patel, Dip Faculty of Computer Science and Applications Charusat Changa Anand India Faculty of Electronics and Communication Engineering Charusat Changa Anand India

ISBN: (纸本)9798331508456

This study explores the integration of Raman optical amplifiers in a Wavelength Division Multiplexing Passive Optical Network (WDM-PON) system to enhance high-speed data transmission. Traditional amplifiers like Erbium doped fiber amplifier (EDFA) and Semiconductor amplifier (SOA) face limitations in noise performance and gain efficiency over long distances. To address these challenges, a four-channel WDM-PON system was designed and simulated over a 50 km fiber link. Performance metrics, including Bit Error Rate (BER), Quality Factor (Q-Factor), and eye diagram characteristics, were analyzed. The results demonstrate that Raman amplification significantly reduces BER, improves Q-Factor, and enhances signal integrity, making it a robust solution for long-reach optical networks. This study contributes to the advancement of optical communication by showcasing the effectiveness of Raman amplifiers in supporting high-capacity, high-speed transmission. The main findings are Raman amplification is used for improving signal quality and network efficiency in next-generation optical systems and is better compared to other optical amplifiers. © 2025 IEEE.

关键词： Erbium doped fiber amplifiers

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Research on brain signal acquisition and transmission via non-invasive brain-computer interface 3

Research on brain signal acquisition and transmission via no...

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3rd international conference on Algorithms, Network, and communication Technology, ICANCT 2024

作者： Luo, Weihao Xiong, Shiyi Li, Yan Jiang, Pan School of Information Engineering Wuhan Business University Hubei Wuhan430000 China

ISBN: (数字)9781510688902

ISBN: (纸本)9781510688896

Non-invasive brain-computer interface technology has become a research hotspot in the field of human-computer interaction with its characteristics of no surgery and safe reliability. This paper introduces the non-invasive brain signal acquisition and transmission of brain-computer interface technology, which aims to enable people with disabilities to conduct peripheral control through thinking. Brain wave signals were collected by using electroencephalography (EEG) technology and functional magnetic resonance imaging (fMRI) technology. This paper focuses on the use of brain signal analysis, correlation function analysis and independent component analysis (ICA) to collect the signal for comprehensive noise processing and artifact processing, and finally the processed signal instructions are transmitted to the corresponding peripherals to control it. The device not only has the function of signal collection and transmission, but also can be customized according to the needs of users to complete the function of fitting the user, which can effectively help the disabled to live independently and improve the quality of life. © 2025 SPIE.

关键词： Brain computer interface

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An FPGA Implementation of the Levinson–Durbin Algorithm for Speech Coding 3rd

An FPGA Implementation of the Levinson–Durbin Algorithm for...

引用

3rd international conference on Computational Electronics for Wireless communications, ICCWC 2023

作者： Singh, Dilip Chandel, Rajeevan Department of Electronics and Communication Engineering National Institute of Technology Hamirpur Himachal Pradesh Hamirpur177005 India

ISBN: (纸本)9789819719426

Speech coding is a widely used technique used for digital telephony and secure communication. The estimation of linear prediction coefficients (LPCs) for the development of synthetic speech is crucial and involves the use of the Levinson–Durbin (LD) algorithm. The computational complexity introduced by this algorithm affects the performance of speech codecs utilizing LPCs. In this paper, an FPGA implementation of the Levinson–Durbin algorithm is proposed for efficient autoregressive model parameter estimation. By harnessing FPGA’s parallel processing capabilities, the algorithm’s performance is accelerated, allowing real-time processing of signals. The work focuses on translating the algorithmic steps into hardware modules, optimizing memory access, and evaluating resource utilization, and power efficiency of the implemented hardware. This research contributes to the field of hardware-accelerated algorithms, showcasing the potential of FPGA platforms in enhancing signal processing tasks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Audio signal processing

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Research on the Transfer Effect of Traditional Painting Styles Empowered by Artificial Intelligence 24

Research on the Transfer Effect of Traditional Painting Styl...

引用

3rd international conference on Artificial Intelligence and Intelligent Information processing, AIIIP 2024

作者： Chen, Cui Wang, Hongjuan School of New Media Beijing Institute of Graphic Communication Beijing China

ISBN: (纸本)9798400707308

With the vigorous development and technological advancement of artificial intelligence, style transfer technology driven by deep learning has become a hot topic in the research of artificial intelligence computer vision. This technology not only promotes the innovation pace of artificial intelligence, but also opens up a new cross disciplinary chapter by combining with traditional painting. Style transfer technology not only opens up a new path for the dissemination of traditional painting, but also promotes its deep practice of protection and innovation. This paper reviews the development of style transfer technology, and discusses the transfer effects of different style transfer models in different traditional painting styles in China through experiments, which provides a reference direction for the development of traditional painting in the field of style transfer, and also provides guidance and enlightenment for future practitioners in model selection. © 2024 Copyright held by the owner/author(s).

关键词： Traditional painting

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Efficient signal processing: Harnessing Distributed Arithmetic for High-Speed FFT Operations 3

Efficient Signal Processing: Harnessing Distributed Arithmet...

引用

3rd international conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Bharathi, M. Mohanarangam, Krithikaa Shirur, Yasha Jyothi M. Andhra Pradesh Tirupati India Symbiosis Institute of Technology Pune India Bnm Institute of Technology Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798331515911

The present article introduces a novel approach to significantly enhance the computational efficiency of modern Digital signal processing (DSP) processors. The algorithm enhances the efficiency of Sum of Products (SOP) operations, which are essential for real-time signal processing applications, by utilizing Distributed Arithmetic (DA) techniques for the Fast Fourier Transform (FFT) and its inverse (Inverse FFT) (IDFT) computations. The present study undertakes an exhaustive quantitative analysis to assess the computational delays of the proposed 2, 4, and 8-point Fast Fourier Transform (FFT) and Inverse Discrete Fourier Transform (IDFT) across various bit representations (4, 8, and 16-bit). For example, when using 4-bit representations, the computational delays for a 2-point Fast Fourier Transform (FFT) are measured to be 13.318ns, 30.629ns for a 4-point FFT, and 27.779ns for an 8-point FFT. Similarly, the delays for the 2-point Fast Fourier Transform (FFT) in an 8-bit representation are 13.727ns, the 4-point FFT in 22.276ns, and the 8-point FFT in 30.592ns. The study further includes the addition of appropriate delays for IDFT operations, which enhances the understanding of the effectiveness of the approach suggested in various scenarios. Furthermore, the research presents and evaluates three distinct categories of transforms, namely 2-point, 4-point, and 8-point FFT and IDFT structures. These structures utilize different quantities of Look-Up Tables (LUTs) for computational purposes. The research showcases the exceptional computing efficiency of the suggested design through detailed quantitative analysis, emphasizing its potential advantages in improving DSP implementations in practical situations. © 2025 IEEE.

关键词： Inverse problems

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Analysis of Bit Rate vs SNR in Coded FSO communication Systems 3

Analysis of Bit Rate vs SNR in Coded FSO Communication Syste...

引用

3rd IEEE international conference on Industrial Electronics: Developments and Applications, ICIDeA 2025

作者： Gupta, Ritu Kumar, Lalit Chandigarh University Department of ECE Punjab Gharuan India Department of CSE MMEC Ambala India

ISBN: (纸本)9798331533205

The main requirements for a future communication system are low complexity, stronger performance, data processing, and higher data rate. These requirements have been fulfilled by Free Space Optical (FSO) communication systems. FSO is a visible or wireless light communication (WLC) system. Performance analysis itself is a critical stage in the field of FSO/ wireless communications due to the nature of multi-path fading that is encountered due to scatters. The BER performance depends on the employed detection scheme, signal-to-noise ratio (SNR), and diversity order. The main basic components for selecting channel coding techniques are Bit Error Rate (BER) and SNR. This paper examined the performance of different channel coding schemes including convolutional coding, LDPC (low-density parity check) coding, TCM (trellis coded modulation) coding, and concatenated coding schemes during diverse turbulence conditions using the log-normal and gamma-gamma distribution model in MATLAB. Simulation results and performance evaluation in terms of bit rate indicated that the concatenated coding scheme outperforms the other single channel coding schemes under various turbulence conditions. © 2025 IEEE.

关键词： Concatenated codes

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Modified CNN-Bi-LSTM Framework for Forecasting Epileptic Seizures Utilizing Multi-Scale EEG Data 3

Modified CNN-Bi-LSTM Framework for Forecasting Epileptic Sei...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Nithya, C.K. Kumar, P. Ranjith Vimala, M. Ramasamy, S. Jenitha, R. P.S.R Engineering College Department of Electronics and Communication Engineering Sivakasi626 140 India

ISBN: (纸本)9798331509675

Recurrent convulsions are a defining characteristic of epilepsy, a cognitive disorder that presents significant challenges in term Multi-Scale of management and therapeutic interventions. Predicting seizures accurately is essential to improving patients' quality of life and lowering the risk of injury. A Bidirectional Long Short-Term Memory (Bi-LSTM) network and a modified Convolution Neural Network(CNN) intended to access Multi-Scale(EEG) data are used in this method and is to provide a stand out method for epileptic seizure prediction. Utilizing CNNs' spatial feature extraction capabilities to detect local patterns in EEG signals, the suggested model efficiently describes temporal correlations through forward and backward analysis of the EEG data set. By diminishing noise and boosting important information, wavelet modification pre-processing of Multi-Scale (EEG) dataset that is available to the public, Innovative frameworks further adopt tailored neuro computational methodologies to bolster the accuracy of seizure detection and forecasting, sensitivity, and specificity. Based on the findings, the integration of CNN and Bi-LSTM significantly improves the efficacy of seizure prediction when utilized alongside Multi-Scale signal processing, presenting a potentially valuable approach for the effective management of epilepsy. © 2025 IEEE.

关键词： Convolutional neural networks

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Optimization of Forced Sleep 4x4 Sram Array Using Delay Flip Flop 3

Optimization of Forced Sleep 4x4 Sram Array Using Delay Flip...

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3rd international conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Joy, Ancy Damodaran, Anju Kuruvilla, Jinsa Muthoot Institute of Technology and Science Dept. of Electronics and Communication Cochin India Dept. of Electronics and Communication Cochin India

ISBN: (纸本)9798331515911

Memory optimization plays an important role in electronic devices. With low latency and high-speed data access capabilities, SRAM gains prominence. Crucial for high-speed caches, AI and other networking applications that require rapid data processing. The immediate writing and retrieval of the data determines the performance of the device. As a volatile or non-volatile data storage for electronic gadgets like laptops and cellphones, Static Random Access Memory (SRAM) is the best choice for industrialists. Memory proved to be a significant contributor to the speed, performance, and data storage of the handheld system. The urge to optimize performance is always relevant. The proposed system uses 250nm technology, where a 9T SRAM cell uses a forced sleep technique for power optimization to implement a 4x4 *** this project, the SRAM cell is converted to a D flip flop so that the 9T SRAM can replace the D Flip Flop at low power and low size applications. This project also modifies the SRAM array by replacing the cell with a DFF. It gives a comparative analysis of various 4x4 SRAM arrays of traditional Static Random-Access Memories such as 6T SRAM, Conventional 9T SRAM, modified 9T SRAM, as well as a D flip flop, thus achieving a significantly lower power delay product (PDP). A stable low-power system is developed using the tool LT spice. This tool is used to evaluate the power dissipation, delay, and power delay product, and thereby, the comparative study of the memory cells can be studied. © 2025 IEEE.

关键词： Flip flop circuits

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