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检索条件"主题词=signal processing algorithm"

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Aircraft Turboprop Engine Vibration Monitoring Module 25

Aircraft Turboprop Engine Vibration Monitoring Module

引用

25th International Conference on Applied Electronics (AE)

作者： Dulik, Tomas Pospisilik, Martin Oplustil, Vladimir Benes, Petr Tomas Bata Univ Zlin Fac Appl Informat Zlin Czech Republic UNIS As Div Aerosp & Adv Control Brno Czech Republic Brno Univ Technol Fac Elect Engn & Commun Brno Czech Republic

ISBN: (纸本)9788026108924

The paper describes electronic vibration monitoring module (EVM) that can be used as standalone diagnostic system or as a part of a complex modular concept of engine electronic control (EEC/FADEC) with aircraft health monitoring system. We present a new generation of EVM for modern small turboprop engines and their vibration diagnostics which has been developed by Unis, a.s. in cooperation with Brno University of Technology and Tomas Bata University in Zlin.

关键词： In Flight Vibration Monitoring Turboprop Engine Vibrations Vibration Monitoring System signal processing algorithm

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Safety in e-Scooters: a Machine-Learning Approach for Online Second Passenger Detection 17

Safety in e-Scooters: a Machine-Learning Approach for Online...

引用

17th IFAC Symposium on Control of Transportation Systems (CTS)

作者： Leoni, Jessica Tanelli, Mara Strada, Silvia Carla Savaresi, Sergio Politecn Milan Dipartimento Elettron Informaz & Bioingn DEIB Milan Italy

Electric scooters are pivotal for urban mobility, yet safety concerns still prevent widespread adoption. Research identifies rider negligence, such as carrying a second passenger, as a major risk. To address this issue, we propose an autonomous system for real-time detection of second passengers. By analyzing vehicle dynamics through minimal sensors and employing an interpretable machine learning approach, our solution ensures accuracy and interpretability. Rigorous testing with diverse users validates its effectiveness, showcasing adaptability to user characteristics and road conditions, proving the potential of this approach to foster safer electric scooter usage. Copyright (c) 2024 The Authors.

关键词： Electric scooter risk detection machine-learning signal processing algorithm smart mobility

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Smartphone-Compatible Robust Classification algorithm for the Tongue Drive System 10

Smartphone-Compatible Robust Classification Algorithm for th...

引用

IEEE Biomedical Circuits and Systems Conference (BioCAS)

作者： Ayala-Acevedo, Abner Ghovanloo, Maysam Georgia Inst Technol Dept Elect & Comp Engn Atlanta GA 30308 USA

ISBN: (纸本)9781479923465

In this paper we present several improvements in the Tongue Drive System magnetic sensor signal processing algorithm and its new 8-command classification performance by applying robust pattern recognition techniques that are resistant to natural tongue movements and earth's magnetic field variations. Two additional commands have been added to the system for better compatibility with smartphone interfaces. For this algorithm support vector machine with radial basis function kernels has been proposed instead of the previous algorithm that was based on linear distance discrimination. The proposed algorithm has also been compared with two commonly used non-linear classifiers, the Neural Network and AdaBoost. Data was collected from six able-bodied subjects while they sat, walked and read a passage. The average false positive ratio while walking and talking was 2.73% error, and the overall system accuracy under normal conditions was 92.64% correctness, 2.87% misclassification error, and 4.49% rejection error.

关键词： tongue drive system interface mobile devices signal processing algorithm

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Active-Passive Radar for Radar Imaging from Aerospace Carriers 19

Active-Passive Radar for Radar Imaging from Aerospace Carrie...

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19th International Conference on Smart Technologies (IEEE EUROCON)

作者： Pavlikov, Volodymyr Volosyuk, Valeriy Zhyla, Simeon Tserne, Eduard Shmatko, Olexandr Sobkolov, Anton NAU Kharkiv Aviat Inst Aerosp Radioelect Syst Dept Kharkiv Ukraine

ISBN: (纸本)9781665432993

algorithms for radar imaging of the underlying surface from aerospace carriers have been synthesized. In doing so, we have considered two possible ways of image reception based on methods of active and passive remote sensing. On this basis, a radar complex, which allows forming images proportional to either the specific effective surface scattering or the effective noise temperature of the underlying surface, has been created. The structural scheme of the complex in accordance with both operating modes is developed. The results of radio image simulation are given.

关键词： radar imaging signal processing algorithm image filtration ultrawideband signals

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Differentiating Nature of Cough Sounds in Time Domain Analysis

Differentiating Nature of Cough Sounds in Time Domain Analys...

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International Conference on Industrial Instrumentation and Control

作者： Walke, S. A. Thool, V. R. SGGS Inst Engn & Technol Dept Instrumentat Engn Nanded 431606 India

ISBN: (纸本)9781479971657

The aim of this study is to discriminate the nature of cough by extracting its features time domain method. We are using two types of cough sound for prognosis purpose such as Productive and Nonproductive cough sounds. In this paper we are applying Digital signal processing algorithm for analysis of sounds. The feature extractions of sound detect the number of peaks and concentrate on phase two of sounds. So, by using this feature separation of productive and nonproductive cough sound is identified clearly which helps doctor for accurate diagnosis. Also, shown the impact of filters on signal of cough sounds. This study helps to health care professionals in their diagnosis.

关键词： Cough sounds signal processing algorithm Bio signal processing algorithm

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Research of AI driven light health and therapy 48

Research of AI driven light health and therapy

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48th Annual IEEE International Computers, Software, and Applications Conference (COMPSAC) - Digital Development for a Better Future

作者： Wang, Xiaofei Zhao, Yi Yu, Tao Ren, Jie Yan, Huafeng Song, Jian Tsinghua Univ Dept Elect Engn Beijing Peoples R China Beijing Tsinghua Changgung Hosp Photomed Lab Beijing Peoples R China Tongji Univ Dept Architecture Shanghai Peoples R China Medpower Technol Co Ltd Suzhou Peoples R China

ISBN: (纸本)9798350376975;9798350376968

This article reports an experimental system of light health and therapy driven by Artificial intelligence (AI) technology. Light health and therapy, also known as phototherapy, is a therapy used to treat a variety of depression and neurodegenerative diseases, such as Seasonal Affective disorder (SAD) and Alzheimer's Disease (AD). Light therapy affect activity, functional connectivity and plasticity of multiple brain regions by adjusting the frequency and color temperature of illuminating system. The retina converts photon into electrical signals and transmits these stimulus into central nervous system to make resonances and oscillations to boost human mood and improve cognitive function. In life science, non-imaging vision system refers to light signal projected to the higher brain region through intrinsically photosensitive retinal ganglion cell (ipRGC cell) to participate in the regulation of circadian rhythm, emotion, cognition and other functions. The mechanism of this physiological phenomenon is not fully understood. This article introduce AI technology to make a closed loop experimental system to study this phenomenon. The goal of this paper is to use AI technology to analyze the input light stimulus and human physiological electrical signals, and try to find out the corresponding nonlinear relationship to guide the stimulation of light therapy.

关键词： Artificial intelligence (AI) light health therapy signal processing algorithm

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CoreVA: A Configurable Resource-efficient VLIW Processor Architecture 12

CoreVA: A Configurable Resource-efficient VLIW Processor Arc...

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12th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC)

作者： Huebener, Boris Sievers, Gregor Jungeblut, Thorsten Porrmann, Mario Rueckert, Ulrich Univ Bielefeld Cognitron & Sensor Syst Grp CITEC D-33619 Bielefeld Germany

ISBN: (纸本)9780769552491

Mobile signal processing applications have a limited energy budget and require resource-efficient processing elements. General purpose VLIW CPUs offer a high energy efficiency and allow for the execution of a wide range of applications in this domain. In this work we present the configurable 32 bit VLIW processor architecture CoreVA. Besides the number of issue slots, it allows for a fine-grained configuration of the amount and characteristics of the processor's functional units (e.g., ALUs, MACs, or LD/ST units). A design-space exploration is performed to evaluate how these functional units impact area and power consumption. The basic configuration with one ALU, MAC, DIV, and LD/ST unit has a power consumption of 11.796mW and an area of 0.142mm(2) at a clock frequency of 750 MHz in a 28 nm FD-SOI process. The maximum clock frequency in this process node is 833 MHz. To bear a relation of the hardware requirements to possible performance gains of the application, a signal processing algorithm is used as a benchmark to evaluate the energy consumption of different hardware configurations. The lowest energy consumption is observed with a configuration of 4 issue slots using 4 ALUs, 4 MACs, and 2 LD/ST units. This is an improvement by a factor of 1.68 compared to the single issue slot configuration.

关键词： computer architecture microprocessor chips multiprocessing systems signal processing Configurable Resource efficient VLIW processor architecture CoreVA VLIW CPU VLIW processor architecture CoreVA clock frequency design space exploration energy budget mobile signal processing applications processor functional units resource efficient processing elements signal processing algorithm Clocks Computer architecture Hardware Pipelines Power demand Registers VLIW application specific configurable design-space exploration resource efficient Very long instruction word Computer Architecture clock frequency configurability signal processing algorithms Energy budget Space Exploration Multiprocessing systems Custom design Power demand Microprocessor chips Registers Timing devices Computer hardware pipeline

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Novel cross-correlation algorithm for reducing noise-related errors in array type optical triangulation displacement sensors

Novel cross-correlation algorithm for reducing noise-related...

引用

Conference on Testing, Reliability, and Applications of Optoelectronic Devices

作者： Kim, KC Oh, SB Kim, SH Kwak, YK Korea Adv Inst Sci & Technol Dept Mech Engn Yusong Gu Taejon 305701 South Korea

ISBN: (纸本)0819439630

Optical triangulation displacement sensors are widely used for their non-contact measurement characteristics, sub-micron order resolution, simple structure, and long operation range. However, errors originating from surface inclination, speckle effect, light source fluctuation, and detector noise limit the wider use. In order to minimize these errors, the structure for optical triangulation displacement sensors, which is composed of an incoherent source and a linear CCD, has been proposed. But using a linear CCD causes several problems in signal processing. In this paper, we propose an adequate signal processing system for the proposed structure. With the help of the proposed algorithm, the limited resolution problem of CCD can be solved.

关键词： correlation algorithm displacement measurement optical sensor optical triangulation signal processing algorithm linear CCD

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PPG Delineator for Real-Time Ubiquitous Applications

PPG Delineator for Real-Time Ubiquitous Applications

引用

32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Farooq, Umar Jang, Dae-Geun Park, Jang-Ho Park, Seung-Hun Kyung Hee Univ Dept Biomed Engn Hlth Lab U Seoul South Korea Korea Adv Inst Sci & Technol Dept Elect Engn Speech & Audio Informat Lab Daejeon South Korea

ISBN: (纸本)9781424441242

This paper presents real-time signal processing algorithm for detection of onsets and peaks in Photoplethysmogram (PPG) waveform. algorithm relies on the analysis of amplitude, slope and inter-beat intervals. The presented algorithm consists of four stages for characterizing PPG waveform. Preprocessing stage involves transformation of PPG since the original waveform is less impulsive and robust. In second stage, algorithm seeks for valid pulse detection in transformed signal complying with the amplitude threshold and inter-beat interval. On detection of valid pulses, algorithm then searches backward and forward in transformed signal for the detection of peaks and onsets. Further the detection parameters are made adaptive to comply with varying beat morphologies and fluctuations in baseline. All signal processing steps and decision logics are implemented with low computational complexity to make it applicable for compact ubiquitous health monitoring devices. On evaluation with our database, the algorithm achieved sensitivity of 96.89% and positive predictivity of 94.55% within an acceptance level of 12 ms.

关键词： PPG delineator amplitude threshold beat morphologies computational complexity computational complexity inter-beat interval medical signal processing photoplethysmogram waveform plethysmography real-time ubiquitous applications signal processing algorithm waveform analysis

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Estimation of Water Surface Velocity Using FMCW Radar with On-Chip Antenna

Estimation of Water Surface Velocity Using FMCW Radar with O...

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2024 Asia-Pacific Microwave Conference

作者： Chen, Jintao Hung, Wing-Hung Wu, Ke-Li Chinese Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9798350363555;9798350363548

This paper introduces a methodology for estimating surface water velocity utilizing Frequency Modulated Continuous Wave (FMCW) millimeter-wave (mmWave) radar technology operating at 60 GHz. The study leverages the IWR6843AOP radar sensor to obtain high-resolution data on water surfaces. By employing 1TX 1RX configuration, this method achieves an extensive beam width without compromising accuracy due to the specially designed algorithm for precise velocity estimation. This non-contact technique serves as an efficient and reliable alternative to conventional methods, offering enhanced safety and accessibility. Experimental results substantiate the efficacy of our approach, demonstrating significant promise for widespread application in environmental monitoring and water management systems.

关键词： Water flow velocity FMCW radar Millimeter-wave radar Surface velocity estimation non-contact measurement signal processing algorithm Environmental monitoring Water resource management

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