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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

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Automatic recognition of GPR localized targets images using C3 algorithm 3

Automatic recognition of GPR localized targets images using ...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2023

作者： Ammar, Abdussalam Masaud Youssef Ellafi, Amira Elkhatalli, Said Faculty of Electronic Technology Tripoli Libya Faculty of Electronic Technology BaniWalid Libya

ISBN: (纸本)9798350319897

A near-surface geophysical technique with several uses is ground penetrating radar, often known as GPR, ground probing radar, or georadar. GPR has been utilized effectively over the past 30 years to aid with limiting issues in various domains, including environmental site characterization, archaeology, glaciology, etc. The electromagnetic signal produced by the GPR, a Non Destructive Testing (NDT) method, penetrates the subsurface and measures the amplitude and duration of the signal that is reflected back. GPR data may be used to create high-resolution cross-sections of the scanned material. After pre-processing the input GPR images, a special thresholding approach is employed to separate the regions of interest from background. The next step is to utilize a column connection clustering (C3) approach to divide the areas of interest from one another. © 2023 IEEE.

关键词： Ground penetrating radar systems

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A DOA Estimation algorithm for the vertical line array of vector hydrophone based on data fusion method 3

A DOA Estimation algorithm for the vertical line array of ve...

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3rd IEEE international conference on Information Communication and signal processing (ICICSP)

作者： Liang, Yan Meng, Zhou Chen, Yu Wang, Jianfei Zhou, Xin Wang, Mingyang Natl Univ Def Technol Coll Adv Interdisciplinary Studies Changsha Peoples R China Natl Univ Def Technol Coll Meteorol & Oceanol Changsha Peoples R China

ISBN: (纸本)9781728188232

According to the array signal processing theory, the horizontal directivity index of the vector hydrophone vertical array (VHVA) is not higher than that of a single vector hydrophone. In order to improve the direction-of-arrival (DOA) estimation performance, a data fusion method for the VHVA is proposed in this paper. The azimuth estimation results corresponding to each vector hydrophone at a series of single-frequency points are obtained through the cross-spectral processing algorithm. Then the narrow-band estimation results of multiple hydrophones are processed by data fusion method to achieve more accurate estimation results. By adopting the histogram statistics method, the synthetic high-resolution estimation result is obtained finally. To verify the significantly improved performance of the proposed algorithm, we conducted the simulation and sea trial. It is revealed that the DOA estimation performance of the VHVA is much better than that of a single vector hydrophone. In the fusion estimation result, the peak of the statistics values is much narrower, and the side lobe is obviously suppressed.

关键词： vector hydrophone vertical array direction-of-arrival (DOA) estimation datafusion high-resolution

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A Novel Estimation Method in FDA-MIMO Radar Using Matrix Pencil Method 3

A Novel Estimation Method in FDA-MIMO Radar Using Matrix Pen...

引用

3rd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023

作者： Liu, Feilong Zhu, Shengqi Xu, Jingwei Li, Ximin Wang, Yanxing Chen, Zhuochen Xidian University National Key Laboratory of Radar Signal Processing Xi'an Shannxi China

ISBN: (纸本)9798350302356

There has been a surge of interest in the research of frequency diverse array (FDA) radar across various radar-related fields. However, the current parameter estimation algorithms for FDA-MIMO radar demand a significant number of samples to estimate the covariance matrix. In this paper, a novel range and angle estimation with FDA-MIMO radar via matrix pencil method is proposed. Firstly, an augmented matrix is constructed by using the covariance matrix of received data obtained from a small sample. Secondly, the angle and range estimation for subject of interest through singular value decomposition and subspace theory. Finally, the simulation results indicate that the proposed algorithm presented in this paper exhibits superior performance in terms of estimation accuracy compared to the existing methods, especially when the signal-to-noise ratio is low and the number of snapshots is limited. © 2023 IEEE.

关键词： Singular value decomposition

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A Study on the Localization of Partial Discharge Using Ngccphat CNN 3

A Study on the Localization of Partial Discharge Using Ngccp...

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3rd international conference on New Energy and Power Engineering, ICNEPE 2023

作者： Liu, Yang Yan, Tianfeng Zheng, Li Lanzhou Jiaotong University Institute of Digital Signal Processing and Software Defined Radio School of Electronics and Information Engineering Lanzhou China

ISBN: (纸本)9798350393224

Current methods for detecting partial discharge sound sources in transformers are not very accurate and are susceptible to interference from environmental factors and calculation algorithms. Therefore, this study proposes a deep learning method of convolutional neural network to locate partial discharge in transformers. The generalized cross-correlation positioning algorithm is utilized, along with a deep learning framework, to compute the cross-correlation delay between audio signals. This enables the identification of the source location for partial discharge sounds. Through the audio data set collected by the simulated microphone array of the partial discharge signal, the partial discharge positioning calculation model was trained, and finally the trained calculation model was used for positioning testing, which verified the accuracy of the partial discharge sound source positioning algorithm. Experimental results show that the network used not only completes the localization of partial discharge sound sources, but also improves the accuracy of sound source localization. © 2023 IEEE.

关键词： convolutional neural network deep learning localization of PD sound source Mic-Arrays power transformers

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MYSQL to cassandra conversion engine 3

MYSQL to cassandra conversion engine

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3rd IEEE international conference on Sensing, signal processing and Security, ICSSS 2017

作者： Giridhara Gopalan, M. Prasanna, C. Srihari Krishna, Y. Shanthini, B. Arulkumar, A. Chennai India Direcor-Product Engineering Aigilx Health Technologies Chennai India

ISBN: (纸本)9781509049295

As Technology advances, huge amount of data are generated every day from various sources like Social Media, Banking, Hospital Management etc. Modern businesses that use big data use cases are helping to build a different set of technologies to replace MySQL. Currently, the data migration is very important because of the ever-mounting volume of data, that are collected via many sources, has motivated the migration from Relational database Management System (rdBMS) to NoSQL (Not Only SQL) database. The main aim this paper is to present a methodology for data migration from rdBMS to NoSQL database. To illustrate this methodology, we implement a software prototype using MySQL as a rdBMS and CassandraDB as a NoSQL database. In this, the MySQL database and the Cassandra database are connected to the Python Environment and the Conversion of Schema is processed, followed by Conversion of data. © 2017 IEEE.

关键词： Big data

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Application of the signal processor in data processing

Application of the signal processor in data processing

引用

Proceedings of the 1996 3rd international conference on signal processing, ICSP'96. Part 1 (of 2)

作者： Huang, Wen-Yun Wang, Zhen-Zhong Third Research Inst Henan China

Combination mode of main computer and slave computer is adopted by IBMTMSTD01 signal processor. The main computer is a microcomputer mode IBM-PC/AT which can be used in after-processing of data, while the TMS 320c25 used by the slave computer as controller, and data acquisition consists of sensors, converters, interfaces and peripheral equipments, carries out logging, display and printing of parameters for strain, pressure, displacements, temperatures etc. (that is preprocessing of data). data transmission between main computer and slave computer and be realized by serial mode via the interface RS-232C. The system function, structure of hardware and software design are introduced by taking strain Logging & processing as an example.

关键词： signal processing

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FPGA Implementation of DC Bias Removal Filters - A Case Study with an ECG signal 3

FPGA Implementation of DC Bias Removal Filters - A Case Stud...

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3rd international conference on signal processing and Communication (ICPSC)

作者： Sasi, G. Vimala, R. Sivaraju, S. S. Ramya, R. Elamaran, V. Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala E Dept BME Chennai Tamil Nadu India PSNA Coll Engn & Technol Dept EEE Dindigul India RVS Coll Engn & Technol Dept EEE Coimbatore Tamil Nadu India SASTRA Deemed Univ Srinivasa Ramanujan Comp Ctr Dept ECE Kumbakonam India SASTRA Deemed Univ Sch EEE Dept ECE Thanjavur India

ISBN: (纸本)9781665428644

The study and processing of bio-signals and the perception of clinical images is an important part of modern medical science, technology and engineering. In each registered electrocardiogram (ECG) data, there are two major noise sources such as the power-line interface and baseline wandering noise. A low-frequency noise of about 0.5 to 0.6 Hz is the second, i.e. the baseline wander (closer to a dc). This wandering baseline is practically due to inadequate skin sensitivity to electrodes, i.e. due to relaxed interaction with electrodes or poor positioning or even tightly positioned electrodes. To suppress the DC offset, the conventional DC bias removal filter and its three variants are used in this study. All the circuits were synthesized on an Altera Cyclone IV FPGA EP4CE115F29C7 device using Quartus II software v13.1 tool. Finally, the simulation results of device utilization, clock speed, and power dissipation are compared among all the designs.

关键词： DC bias removal FPGA filtering performance Quartus II

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Energy Efficient and Low Cost Air Quality Sensor for Smart Buildings 3

Energy Efficient and Low Cost Air Quality Sensor for Smart B...

引用

3rd IEEE international conference on Computational Intelligence and Communication Technology (CICT)

作者： Kumar, Anuj Kumar, Ashok Singh, Abhishek Cent Bldg Res Inst CSIR Efficiency Bldg Grp Roorkee 247667 Uttar Pradesh India

ISBN: (纸本)9781509062188

An Indoor-Air-Quality (IAQ) sensor is developed in conformity with ISO/IEEE/IEC 21451 standards. The developed IAQ sensor is suitable to monitor the concentrations of indoor air quality parameters like PM2.5, CO2, O-3, and CO. The semiconductor and PM 2.5 sensors are used for implement the sensor array. The optical PM2.5 Sensor module has been developed. The sensing part of the developed sensor is controlled through smart devices with GSM network. The machine-tomachine (M2M) data communication is implemented for the air quality sensor and smart devices. The calibration of the developed sensor has also been implemented successfully. The IAQ sensor is portable, easy to operate, low cost, and energy efficient.

关键词： Sensor array signal processing calibration sensor integration GSM communication

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EEG signal Classification using Convolutional Neural Network 3

EEG Signal Classification using Convolutional Neural Network

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3rd international conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Sharmiladevi, D. Nishanth, S. Logeswaran, S. Rajkumar, S. Sona College of Technology Department of Ece Salem India

ISBN: (纸本)9781665462167

The purpose of this study is to offer a basic Convolutional Neural Network (CNN) software for classifying epileptic seizures. The recognition of the Electroencephalography (EEG) signal and its distinctive features are required for the diagnosis of epileptic seizures. As a result, it requires a mechanism for recognising and categorising epileptic seizures. As part of a neural network, deep learning is *** has shown excellent performance in image classification and pattern identification. This study utilizes the Hanning window FFT analyser and CNN ConvNet to categorize epileptic seizures. To transform the time-frequency domain of the EEG signal data, this transform produces an image that may be classified into five properties. © 2023 IEEE.

关键词： Fast Fourier transforms

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Improving Recognition for Disordered Speech in Indonesian Language: a data Augmentation approach 3

Improving Recognition for Disordered Speech in Indonesian La...

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3rd international conference on Smart Cities, Automation and Intelligent Computing Systems, ICON-SONICS 2023

作者： Saputra, Alefto Halim, Dareen Kusuma Universitas Multimedia Nusantara Dept. of Computer Engineering Jakarta Indonesia

ISBN: (纸本)9781509062805

For individuals with speech disorders, speech recognition serves as a crucial communication tool. But most speech recognition systems are trained on normal speech data, worsen by limited disordered speech data which mostly available in English language. data augmentation is one possible approach, where we can apply signal processing such as speed perturbation to transform normal speech into disordered speech. In this work, we studied how augmented data composition in a dataset affects the system performance on recognizing disordered speech. Using QuartzNet CNN as the acoustic model, we evaluated the speech recognition system on an augmented dataset built based on an Indonesian language speech database from Mozilla Corpus. Using speed perturbation to generate disordered speech, the initial results show that augmenting normal speech dataset with 25-50% more disordered speech data could help improve the Word Error Rate (WER) of the model in recognizing disordered speech. This result, however, is limited as we use the same speed perturbation method for training and testing datasets. © 2023 IEEE.

关键词： Speech recognition

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