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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets"

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Only Divide data: Mechanical Fault Severity Diagnosis Method of High Voltage Circuit Breaker

Only Divide Data: Mechanical Fault Severity Diagnosis Method...

引用

IEEE International conference on High Voltage Engineering and Application (ICHVE)

作者： Yang Yuanwei Guan Yonggang Tsinghua Univ Dept Elect Engn State Key Lab Control & Simulat Power Syst & Gene Beijing 100084 Peoples R China

ISBN: (纸本)9781538650868

We present ODD, a new approach to circuit breaker operating mechanism fault diagnosis with vibration signal. Prior work adopts complex pre-processing and extraction method. Besides, it puts features into classifiers to perform fault identification. Instead, we take fault diagnosis as a regression problem to figure out fault severity. A simple time-domain method extracts features directly from original signal. Then features are put into weighted support vector regression(WSVR). Since the whole diagnosis process is simple, the number of parameters needed to be tuned is small. Our ODD model has a good performance on operating mechanism fault severity diagnosis. The no-load test results show that the maximum diagnostic error for coil power supply voltage fault is less than 8% of rated voltage. As for the closing spring s compression/stretching severity, ODD s error is less than 5mm. In addition, ODD runs extremely fast, it outperforms other diagnosis method in speed, including EMD and its improved method.

关键词： Circuit faults Vibrations Circuit breakers Feature extraction Springs High-voltage techniques Electromagnets

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FANM: Fuzzy-Aware Nested Mamba for Infrared Dense small Target Detection

FANM: Fuzzy-Aware Nested Mamba for Infrared Dense Small Targ...

引用

signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Yi Sui Xiyang Zhi Yuanxin Huang Xiaoyang Liang Zheng Lu Wei Zhang Research Center for Space Optical Engineering Harbin Institute of Technology Harbin China Institute of Remote Sensing Satellite China Academy of Space Technology Beijing China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

The task of infrared dense small target detection aims to accurately locate densely distributed thermal radiation targets in complex scenes. However, in complex scenes, dense small targets often suffer from occlusion, shadows, and blurriness, leading to unclear detection bounding boxes and inaccurate localization. To address the aforementioned issues, this paper introduces an innovative approach for infrared dense small target detection, termed the Fuzzy-Aware Nested Mamba (FANM) network. Specifically, the network takes a single-frame infrared image as its input and leverages shallow, middle, and deep Mamba networks to fully exploit and integrate local and global multi-scale features. The extracted features are subsequently passed to a feature pyramid network (FPN) to balance the spatial resolution and semantic information of each feature map layer, ensuring that feature maps of different scales can be effectively utilized. Then, the output features at each level are fed into the detection head, which consists of two branches: one for regressing the positions of arbitrarily distributed bounding boxes, and the other for predicting the quality of the bounding boxes. The proposed fuzzy perceptual loss function is used to optimize these branches, ultimately outputting images with accurately detected target bounding boxes. Experiments were performed on the DMIST dataset, which includes images with varying numbers of targets, and the results validate the effectiveness of our method.

关键词： Location awareness Head Accuracy Uncertainty Semantics Object detection Feature extraction data mining Spatial resolution Optimization

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RF signal Generation for MRI System using PS-PL Communication in FPGA over Ethernet 4

RF Signal Generation for MRI System using PS-PL Communicatio...

引用

4th International conference on Computing Communication Control and Automation (ICCUBEA)

作者： Deshpande, Aditi S. Sheikh, Imran Wagle, Kranti Verma, Dharmesh Fr Conceicao Rodrigues Coll Engn Dept Elect Engn Mumbai 400050 Maharashtra India SAMEER IIT B Technol Innovat Div Mumbai 400076 Maharashtra India

ISBN: (纸本)9781538652572

FPGA (Field Programmable Gate Array) is an open-source framework consisting of a small hardware core and a host-software library. It provides a platform for extensible communications, allowing the specialized chips in the FPGAs to program and perform very specific functions in hardware. Implementation of a function in software can be done in the exact manner as in case of an FPGA and thus can be executed in hardware. This paper presents the designing and simulation of RF signal Generation for MRI systemsusing the PS to PL communication over FPGA platform with the help of Ethernet communication protocol. The working of embedded processor inside FPGA is such that it can receive data via Ethernet in the form of packets. Further processing of the data is carried out on the received Ethernet packets from which actual data is extracted, processed and finally transmitted to the other required subsystems, as in this case to RF Transmit coils. The concept explained in this paper enables the host PC to transmit data to Xilinx-based FPGA board via Ethernet using a standard synchronous inter-networking protocol (TCP/IP). The implementation platform is an evaluation board which has an Arm processor on FPGA. Using the VIVADO tool, the processor is configured inside the Zynq SOC. SDK (Software Development Kit) helps in configuring the software part of the processor. The link between the PC and the evaluation board is well established using the Ethernet interface and the output is given to the AXI GPIO (General Purpose Input Output) pins. The output from GPIO is given to subsequent system like DUC (Digital-Up Converter) and from DUC it is further passed on to RF DAC.

关键词： ARM Processor DUC Ethernet packets FPGA GPIO inter-networking protocol RF transmit coils RF DAC SDK SOC VIVADO Zynq

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Numerical simulation of HTM-free and WO_x based perovskite cells: Effects of interface conditions 17

Numerical simulation of HTM-free and WO<sub>x</sub> based pe...

引用

17th International conference on Numerical Simulation of Optoelectronic Devices NUSOD

作者： Huang, Y. Aharon, S. Gheno, A. Vedraine, S. Pedesseau, L. Burin, J. P. Durand, O. Boucle, J. Etgar, L. Even, J. Rolland, A. Univ Rennes 1 INSA Rennes FOTON UMR 6082 F-35708 Rennes France Hebrew Univ Jerusalem Casali Ctr Appl Chem Inst Chem Edmond J Safra Campus IL-91904 Jerusalem Israel Univ Limoges CNRS XLIM UMR 7252 F-87069 Limoges France

ISBN: (纸本)9781509053230

Hole transport material (HTM) free and WOx based perovskite solar cells are theoretically investigated by using drift-diffusion and small signal models. The influence of interface states and leakage current is studied, and the current-voltage (J-V) and capacitance-voltage (C-V) characteristics are reproduced in reasonable agreement with experimental data, including build in potential (V-bi) variation, open circuit voltage (V-OC) loss and hysteresis effects.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Optimization Research on Radar signal processing Technology Based on MTI-MTD

Optimization Research on Radar Signal Processing Technology ...

引用

data Science and Computer Application (ICDSCA), IEEE International conference on

作者： Mingzheng Mao Xinrui Han School of Information and Electronics Beijing Institute of Technology Beijing China

Due to the continuous development of radar signal processing technology, the MTI-MTD (moving target detection) technology is deeply studied in this paper. This article introduces the principles and properties of MTI and MTD filter banks and analyzes their advantages in clutter suppression, signal-to-noise ratio improvement, and target velocity measurement. Therefore, a radar signal processing system based on MTI-MTD technology, including an acquisition, preprocessing, and target recognition module, is designed. First, the acquisition module receives the radar echo signal and performs analog-to-digital conversion. Second, the preprocessing module is responsible for some operations on the echo signal, such as MTI filtering and Keystone distance migration correction. Third, the target recognition module is responsible for MTD filtering of the preprocessed signal and uses the neural network model to classify and locate the target. Through the verification of three sets of experimental data, the effectiveness and feasibility of this method are high. In addition, we compare it with the traditional method. The experiment results show that the radar signal processing method based on MTI-MTD technology can detect moving targets at various distances, speeds, and signal-to-noise ratios. It improves the ability of radar signal processing technology to detect moving targets in clutter.

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Facet-based Detection for small Infrared targets

Facet-based Detection for Small Infrared Targets

引用

International conference on signal processing Proceedings (ICSP)

作者： Zhicheng Wang Weidong Zhao Xianhui Liu Gang Wei Research Center of CAD University of Tongji Shanghai China

A fusion detection method for small weak infrared target based on bivariate cubic facet fitting (BCFF) is proposed. Experimental results on real infrared image sequences in background of sea and sky demonstrate that o... 详细信息

关键词： Face detection Infrared detectors Surface fitting Object detection Polynomials Wavelet transforms Target tracking Optical surface waves Surface morphology Infrared imaging

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A Recognition Algorithm Based on Region Growing 9th

A Recognition Algorithm Based on Region Growing

引用

9th International conference on Communications, signal processing, and Systems, CSPS 2020

作者： Wang, Luguang Zhu, Yong Wang, Chuanbo College of Electronic Engineering Heilongjiang University No. 74 Xuefu Road Harbin China Lingnan Big Data Institute Zhuhai China

ISBN: (纸本)9789811584107

Aiming at the uncertainty of object detection in the field scenic spot cloud data, combine the region growing algorithm and PointNet++. A recognition method based on regional growing is proposed. The method first divides the point cloud data into small regions, and regional growth algorithm was used to cluster the local regions;then the PointNet++ method is used to identify cluster objects. The experiment result shows that this method can achieve the segmentation and recognition of objects in the scenic spot cloud at the same time. The segmentation rate can be achieved 84.3%, and the recognition rate was 90.7%. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

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Multi-scale NWTH filter for small target detection in infrared images

Multi-scale NWTH filter for small target detection in infrar...

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2011 International conference on Image processing, Computer Vision, and Pattern Recognition, IPCV 2011

作者： Bae, Tae-Wuk Choi, Won-Hyung Kim, Byoung-Ik Kim, Young-Choon Ahn, Sang-Ho School of Electrical Engineering and Computer Science Kyungpook National University Korea Republic of Dept. of Information and Communication Engineering Youngdong University Korea Republic of School of Electronic Telecommunication Inje University Korea Republic of

ISBN: (纸本)9781601321916

In this paper, we propose a recursive multi-scale new white top-hat (NWTH) filter for small target detection in the infrared (IR) images. At first, NWTH filter based on white top-hat (WTH) transformation is performed for three scales (structure elements) with wide scale interval. For the discrimination of candidate target and background region, Threshold is calculated by using maximum value of the summation image by NWTH filter. By using this threshold, a structure element is selected by candidate target clutter ratio (CTCR), modification of signal to clutter ratio gain (SCRG). Based on the selected structure element, the other two structure elements are updated with middle scale interval. Through recursive process of procedure mentioned above, optimum three structure elements are obtained. The experimental results show that the proposed method is robust and effective than existing morphological methods for the small target detection.

关键词： Infrared imaging

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Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge 39

Single-trial detection of event-related fields in MEG from t...

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39th Annual International conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017

作者： Cecotti, H. Barachant, A. King, J.R. Sanchez Bornot, J. Prasad, G. Northern Ireland Functional Brain Mapping Facility Ulster University Magee Campus Derry ∼ Londonderry United Kingdom Burke Medical Research Institute Cornell University New YorkNY United States Department of Psychology New York University New YorkNY United States

ISBN: (纸本)9781509028092

The recognition of brain evoked responses at the single-trial level is a challenging task. Typical non-invasive brain-computer interfaces based on event-related brain responses use eletroencephalograhy. In this study, we consider brain signals recorded with magnetoencephalography (MEG), and we expect to take advantage of the high spatial and temporal resolution for the detection of targets in a series of images. This study was used for the data analysis competition held in the 20th International conference on Biomagnetism (Biomag) 2016, wherein the goal was to provide a method for single-trial detection of even-related fields corresponding to the presentation of happy faces during the rapid presentation of images of faces with six different facial expressions (anger, disgust, fear, neutrality, sadness, and happiness). The datasets correspond to 204 gradiometers signals obtained from four participants. The best method is based on the combination of several approaches, and mainly based on Riemannian geometry, and it provided an area under the ROC curve of 0.956±0.043. The results show that a high recognition rate of facial expressions can be obtained at the signal-trial level using advanced signal processing and machine learning methodologies. © 2017 IEEE.

关键词： Covariance matrices Pipelines Estimation Electroencephalography Brain data analysis Geometry

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Efficiency in ILP processing by Using Orthogonality 28

Efficiency in ILP Processing by Using Orthogonality

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28th IEEE International conference on Application-specific Systems, Architectures and Processors (ASAP)

作者： Brand, Marcel Hannig, Frank Tanase, Alexandru Teich, Juergen Friedrich Alexander Univ Erlangen Nurnberg FAU Dept Comp Sci Hardware Software Codesign Erlangen Germany

ISBN: (纸本)9781509048250

For the next generations of Processor-Arrays-on-Chip (e. g., coarse-grained reconfigurable or programmable arrays)—including more than 100s to 1000s of processing elements—it is very important to keep the on-chip configuration/instruction memories as small as possible. Hence, compilers must take into account the scarceness of available instruction memory and create the code as compact as possible [1]. However, Very Long Instruction Word (VLIW) processors have the well-known problem that compilers typically produce lengthy codes. A lot of unnecessary code is produced due to unused Functional Units (FUs) or repeating operations for single FUs in instruction sequences. Techniques like software pipelining can be used to improve the utilization of the FUs, yet with the risk of code explosion [2] due to the overlapped scheduling of multiple loop iterations or other control flow statements. This is, where our proposed Orthogonal Instruction processing (OIP) architecture (see Fig. 1) shows benefits in reducing the code size of compute-intensive loop programs. The idea is, contrary to lightweight VLIW processors used in arrays like Tightly Coupled Processor Arrays (TCPAs) [4], to equip each FU with its own instruction memory, branch unit, and program counter, but still let the FUs share the register files as well as input and output signals. This enables a processor to orthogonally execute a loop program. Each FU can execute its own sub-program while exchanging data over the register files. The branch unit and its instruction format have to be slightly changed by introducing a counter to each instruction that determines how often the instruction is repeated until the specified branch is executed. This enables repeating instructions without repeating them in the code. Those kind of processors have to be carefully programmed, e. g., to not run into data dependency problems while optimizing throughput. For solving this resource-constrained modulo scheduling proble

关键词： Program processors VLIW Computer architecture Processor scheduling Registers Array signal processing

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