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29th Annual IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

作者： Ardila-Rey, J. A. Martinez-Tarifa, J. M. Robles, G. Rojas-Moreno, M. Albarracin, R. Univ Carlos III Madrid Dept Elect Engn Leganes Madrid Spain

ISBN: (纸本)9781457717710

Partial Discharges (PDs) are responsible for unexpected failures in power system equipment, so their measurement is a fundamental tool for electrical equipment maintenance. In order to characterize PDs activity, some statistical magnitudes are necessary. For this purpose, PDs acquisition and processing is an important tool for critical decisions related to power systems. In this paper, the main difficulties and challenges facing PDs detection, acquisition and processing are presented. Results will be compared to a commercial PDs detection system.

关键词： PD pulse waveform partial discharge synchronism signal detection algorithm zero crossing detector

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Monitoring functional integrity in critical control computers subjected to electromagnetic disturbances during laboratory tests

Monitoring functional integrity in critical control computer...

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37th Annual AUTOTESTCON Conference

作者： Eure, KW Belcastro, CM Weinstein, B

ISBN: (纸本)0780370945

Verifying the integrity of control computers operating in harsh electromagnetic environments is a key issue in the development, certification, and operation of control systems performing flight critical functions for future transport aircraft. Harsh electromagnetic environments (EME) are caused by sources such as lightning, high-intensity radiated fields (HIRF) from radars and radio frequency (RF) transmitters, personal electronic devices carried onto the aircraft by passengers, electromagnetic interference and incompatibilities with onboard equipment, onboard or ground-based terrorists using RE weapons, and erroneous ground-based or airborne military activities. This paper considers the problem of applying analytical redundancy and distributed detection techniques to monitoring the integrity of a fault tolerant flight control computer with redundant processors during real-time laboratory testing. The analytical redundancy for each control command is based on the nominal control law calculation using mathematical modeling techniques. Malfunctions in the control law calculations are detected using statistical decision rules. The thresholds for the decision rules are based on the residual between the measured control law calculation (that may result from computer malfunctions) from the control computer and the estimate of the correct command. The approach is demonstrated for the B737 Autoland during a landing approach. Analysis of the performance of the distributed monitoring system is discussed.

关键词： state space observer upset detection system identification real time estimation detection algorithm Flight Control Computer dSP upset nonlinear modeling stochastic modeling

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A SIGNAL DISAMBIGUATION algorithm FOR USE IN MULTI-BEAM RECEIVERS

A SIGNAL DISAMBIGUATION ALGORITHM FOR USE IN MULTI-BEAM RECE...

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IEEE Workshop on Statistical Signal Processing (SSP)

作者： Stringer, Jeremy Akers, Geoffrey Lamont, Gary Air Force Inst Technol Dept Elect & Comp Engn Dayton OH 45433 USA

ISBN: (纸本)9781479949755

Receiver systems designed to simultaneously act on multiple wideband signals of interest must be able to differentiate between the different wideband signals of interest in the electromagnetic environment. Separation of interference sources from signals of interest relies on a system having either spatial or spectral diversity to detect and remove the interference sources. If interference sources are co-located in either frequency or space with the signal of interest classical techniques fail to resolve the signals of interest within the interference. This paper presents a new signal disambiguation algorithm with both spatial and spectral diversity that is able to act in a congested electromagnetic environment and distinguish between multiple signals of interest while rejecting noise colocated in frequency and/or space with the signals of interest.

关键词： Adaptive arrays Adaptive algorithm detection algorithm

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Real-Time algorithm for a Mobile Cardiac Monitoring System to Detect Life-Threatening Arrhythmias

Real-Time Algorithm for a Mobile Cardiac Monitoring System t...

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2nd International Conference on Computer and Automation Engineering (ICCAE)

作者： Zhang, Zhen-Xing Tian, Xue-Wei Lim, Joon S. Kyungwon Univ IT Coll Seongnam South Korea

ISBN: (纸本)9781424455690

This paper presents a real-time algorithm for a mobile cardiac monitoring system to detect life-threatening arrhythmias. This detection algorithm focuses on two lifethreatening arrhythmias ventricular tachycardia and fibrillation (VT/VF), which are detected through the application of pre-detection processing and main detection processing. In pre-detection processing, applies a statistical method to detect VT/VF. In contrast, a neural fuzzy network is applied to detect VT/VF in main detection processing. The neural fuzzy network's input features are obtained by wavelet transform and several effective extraction methods. This realtime detection algorithm outperform Amann's algorithm, with 92% accuracy and 93% sensitivity. It has been implemented as a cardiac monitoring system in a mobile phone. This system meets heart patient's requirements of early detection and outof- hospital rehabilitation.

关键词： ventricular tachycardia/fibrillation detection algorithm feature extraction neural fuzzy network mobile cardiac monitoring

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The algorithm for the diagnosis of ventricular tachycardias from electrocardiogram

The algorithm for the diagnosis of ventricular tachycardias ...

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World Congress on Medical Physics and Biomedical Engineering

作者： Holub, M. Srutova, M. Kremen, V. Lhotska, L. Czech Tech Univ Fac Elect Engn Dept Cybernet Prague Czech Republic Czech Tech Univ Czech Inst Informat Robot & Cybernet Prague Czech Republic Dept Cybernet FEE CTU Tech 2 Prague 6 Czech Republic

ISBN: (纸本)9783319193878;9783319193861

Ventricular tachycardias (VT), fibrillations (VF) and flutters (FL) are heart rate disturbances ranked among life threatening arrhythmias. We designed and tested an algorithm for automated detection of VT, VF, and FL events from Holter ECG data. The algorithm is based on the detection in a frequency domain, which is supported by the detection in a time domain. The algorithm was tested using ECG signals including VT, VF, and FL taken from AHA and MIT-BIH databases. Overall performance of the algorithm was sensitivity 80.9% and positive predictivity 66.8% (whole data set). The results show a discrimination of VT, VF, and FL from the normal sinus rhythm and its discrimination from the noise. The importance to reach high sensitivity is reflected in the detection. The algorithm achieved a very high resistance to the power line interference and random noise. It provided very good results, in particular with well-balanced ratio between sensitivity and positive predictivity.

关键词： Ventricular tachycardia fibrillation flutter detection algorithm electrocardiogram

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Noise sources in Raman spectroscopy of biological objects 14

Noise sources in Raman spectroscopy of biological objects

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Conference on Dynamics and Fluctuations in Biomedical Photonics XIV

作者： Smulko, J. Wrobel, M. S. Gdansk Univ Technol Fac Elect Telecommun & Informat Dept Metrol & Optoelect G Narutowicza 11-12 PL-80233 Gdansk Poland

ISBN: (数字)9781510605688

ISBN: (纸本)9781510605671;9781510605688

We present an overview of noise sources deteriorating the quality of the recorded biological Raman spectra and the ability to determine the specimen composition. The acquired Raman spectra exhibit intense additive noise components or drifts because of low intensity of the scattered light. Therefore we have to apply expensive or bulky measurement setups to limit their inherent noise or to apply additional signal processing to reduce random components after recording the spectra (e.g., Savitzky-Golay filtering, polynomial approximation, denoising by empirical mode decomposition). We present noise sources generated in detectors of Raman scattered photon stream. We consider the methods of background noise reduction by increasing averaging time when the background noise comprises of white noise and 1/f noise components. We consider how the background noise reduces the accuracy of chemical compounds estimation using Raman spectra and prediction model based on linear (e.g., Principal Component Analysis) or nonlinear (e.g., Support Vector Machine) methods. Finally, we give some remarks about synchronous detection and background noise reduction.

关键词： Raman spectroscopy white noise flicker noise drift removal detection algorithm synchronous detection

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A Novel Intelligent SIC Detector for NOMA Systems Based on Deep Learning 93

A Novel Intelligent SIC Detector for NOMA Systems Based on D...

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IEEE 93rd Vehicular Technology Conference (VTC-Spring)

作者： Fu, Jialiang Xiao, Yue Liu, Haoran Yang, Ping Zhang, Bo Univ Elect Sci & Technol China Natl Key Lab Sci & Technol Commun Chengdu 611731 Sichuan Peoples R China Natl Innovat Inst Def Technol Artificial Intelligence Res Ctr Beijing Peoples R China

ISBN: (纸本)9781728189642

In this paper, we propose a novel intelligent successive interference cancellation (SIC) detection algorithm, namely I-SIC, for the uplink non-orthogonal multiple access (NOMA) system. Compared with some traditional SIC detection algorithms based on channel state information (CSI) and quality of service (QoS), the proposed I-SIC can learn the implied characteristics in the received signal, channel state information and power information through deep neural network (DNN), so as to more intelligently provide sorting scheme for SIC detection algorithm and further improve the detection performance of the system. Experimental results show that compared with the traditional SIC detection algorithm based on CSI (CSI-SIC), this algorithm can significantly improve the detection performance of the system(up to 6 dB for three-user scenario with QPSK modulation).

关键词： Deep neural network detection algorithm NOMA sorting scheme successive interference cancellation

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In-Sleep Activity Detecting algorithm for Sleepcare System 14

In-Sleep Activity Detecting Algorithm for Sleepcare System

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14th IEEE International Conference on Semantic Computing (ICSC)

作者： Ahn, Junguk Lee, Sanghun Kang, Sungyun Han, Hyegyung Lee, Byung Mun Gachon Univ Dept IT Convergence Seongnam Si South Korea Nayuntech Co Seoul South Korea Gachon Univ Dept Comp Engn Seongnam Si South Korea

ISBN: (纸本)9781728163321

High sleep quality enhances life while helping to improve health. Sleep quality increases with fewer sleep disorders such as in-sleep activity is assessed based on such sleep disorders as indicators. In this context, the measurement of in-sleep activity will enable the analysis of sleep quality. This study suggests an algorithm to measure the number of in-sleep activity using a pressure sensor. Movements are detected using the vibration data that is measured from the sensor during tossing and turning, and the pattern of changing pressure according to person's posture in sleep is analyzed. Measuring in-sleep activity using this algorithm will enable the evaluation of sleep quality. Also, to evaluate the algorithm, an actual test environment was constructed where in-sleep activities were measured, and it was determined whether they were counted accurately. As a result, it presented an average cognitive accuracy of 98.6%, and the availability of the algorithm was confirmed.

关键词： Sleep Care Healthcare Sleep disorder Sleep Movement detection algorithm

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detection of Pre-Impact Falls from Heights Using an Inertial Measurement Unit Sensor

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SENSORS 2020年第18期20卷 5388.-5388.页

作者： Kim, Youngho Jung, Haneul Koo, Bummo Kim, Jongman Kim, Taehee Nam, Yejin Yonsei Univ Dept Biomed Engn Wonju 26493 South Korea

Many safety accidents can occur in industrial sites. Among them, falls from heights (FFHs) are the most frequent accidents and have the highest fatality rate. Therefore, some existing studies have developed personal wearable airbags to mitigate the damage caused by FFHs. To utilize these airbags effectively, it is essential to detect FFHs before collision with the floor. In this study, an inertial measurement unit (IMU) sensor attached to the seventh thoracic vertebrae (T7) was used to develop an FFH detection algorithm. The vertical angle and vertical velocity were calculated using the inertial data obtained from the IMU sensor. Forty young and healthy males were recruited to perform non-FFH and FFH motions. In addition, experiments using a human mannequin and dynamics simulations were performed to obtain FFH data at heights above 2 m. The developed algorithm achieved 100% FFH detection accuracy and provided sufficient lead time such that the airbags could be inflated completely before collision with the floor.

关键词： falls from heights wearable airbag complementary filter inertial measurement unit detection algorithm

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Issues with Path Representation in Transition Systems

Issues with Path Representation in Transition Systems

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4th Int Conf on Applied Computing and Information Technology / 3rd Int Conf on Computational Science/Intelligence and Applied Informatics / 1st Int Conf on Big Data, Cloud Computing, Data Science and Engineering (ACIT-CSII-BCD)

作者： Zheng, Yi He, Pei Chang, Chi-Chang Liu, Yafen Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou 510006 Guangdong Peoples R China Beijing Normal Univ Zhuhai Sch Informat Technol Zhuhai 519087 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China Chung Shan Med Univ Sch Med Informat Taichung Taiwan

ISBN: (纸本)9781509048717

structured analysis of transition systems concerns paths, building blocks, representations, and effective computations of semantics, thus having significant influence on practical applications of graph theory. For instance, part of these results plays important roles in formal language studies, compiler designs and genetic programming. This paper aims to introduce relations among them, and to present related algorithms for calculating of them.

关键词： artificial intelligence finite state transition system building block detection algorithm abstract representation

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