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AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application [article]

Attayeb Mohsen, Muftah Al-Mahdawi, Mostafa M. Fouda, Mikihiko Oogane, Yasuo Ando, Zubair Md Fadlullah
2020 arXiv   pre-print
Instead of relying on generic signal processing techniques such as averaging or filtering, we employ deep-learning training on bio-magnetic signals.  ...  After that, we treat the low-frequency noise generated by the sensors, which is also a challenge for most other sensors dealing with low-frequency bio-magnetic signals.  ...  ACKNOWLEDGMENTS This work was partially supported by the Center for Science and Innovation in Spintronics (Core Research Cluster), Center for Spintronics Research Network, Tohoku University, the S-Innovation  ... 
arXiv:1911.03127v2 fatcat:2hhcq5x6srdvppgenlkosdstny

Combination Method for Powerline Interference Reduction in ECG

Manpreet Kaur, A.S. Arora
2010 International Journal of Computer Applications  
The ECG signal is a graphical representation of the electromechanical activity of the cardiac system. For diagnostic quality ECG recordings, signal acquisition must be noise free.  ...  The present paper has proposed a combination technique of three methods i.e. the Moving Averages technique, IIR Notch and Wavelets to reduce the Powerline interference.  ...  A moving average filter smoothes data by replacing each data point with the average of the neighboring data points defined within the span the algorithm accomplishes a moving average by taking two or more  ... 
doi:10.5120/309-476 fatcat:thv2nd2jpfaulptdgxxe2gaq2m

EABF: Energy efficient self-adaptive Bloom filter for network packet processing

Yachao Zhou, Tian Song, Xiaojun Wang
2012 2012 IEEE International Conference on Communications (ICC)  
In this paper, an energy efficient self-adaptive Bloom filter, EABF, is devoted to a balance of power and performance especially for high performance networks.  ...  A control circuit is designed for flexibly changing working stage and reducing both dynamic and static power consumption.  ...  ACKNOWLEGEMENT The authors would like to thank the Irish Research Council for Science, Engineering and Technology and Embark Initiative for supporting our research.  ... 
doi:10.1109/icc.2012.6364449 dblp:conf/icc/ZhouSW12 fatcat:oysckpbfmzakjf7mngkidjduvi

IMPLEMENTATION AND ANALYSIS OF FIR FILTER USING TMS 320C6713 DSK

Sandeep Kumar, Munish Verma, Vijay K. Lamba, Susheel Kumar, Avinash Mehta
2004 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
Digital filters are very commonly found in everyday life and include a variety of applications. Mainly they are used for two major purposes: signal separation and signal restoration.  ...  In most of the applications, analog signals are produced in response to some physical phenomenon or activity.  ...  We have analyzed codes for real time implementation of FIR/Moving Average Filter.  ... 
doi:10.24297/ijct.v3i2b.2873 fatcat:fi27fjcuxjfe7dul5yzcuyob24

Sensor Signal Processing for Autonomous Wireless Sensors

S. Bicelli, A. Depari, A. Flammini, D. Marioli, M. Serpelloni, E. Sisinni, A. Taroni
2008 2008 IEEE Instrumentation and Measurement Technology Conference  
Wireless Sensor Networks are nowadays a reality. However, a wireless node must be a truly autonomous system, i.e. it must embed its own power source, generally a battery pack.  ...  For this reason, it is of main concern to limit every source of wasted power.  ...  Probably, the best choice is a moving average filter that provides the fastest step response for a given noise reduction.  ... 
doi:10.1109/imtc.2008.4547225 fatcat:d7y6mtmyzjca7ecdhxjv3urxjq

A Noise Filtering Algorithm for Event-Based Asynchronous Change Detection Image Sensors on TrueNorth and Its Implementation on TrueNorth

Vandana Padala, Arindam Basu, Garrick Orchard
2018 Frontiers in Neuroscience  
for all classes of moving objects in the data which are unattainable using the nearest neighbor filter.  ...  In addition, for our envisioned application of object tracking and classification under some parameter settings, it can also generate some of the missing events in the spatial neighborhood of the signal  ...  Across all cases, NeuNN generates more than 5X events compared with the NNb filter for all classes of objects moving in the scene.  ... 
doi:10.3389/fnins.2018.00118 pmid:29556172 pmcid:PMC5844986 fatcat:n2wmgttmlvfwrjtbl3eqbs6ccq

Gradient Artefact Correction and Evaluation of the EEG Recorded Simultaneously with fMRI Data Using Optimised Moving-Average

José L. Ferreira, Yan Wu, René M. H. Besseling, Rolf Lamerichs, Ronald M. Aarts
2016 Journal of Medical Engineering  
We devised and presented in this paper a novel approach for gradient artefact correction based upon optimised moving-average filtering (OMA).  ...  OMA makes use of the iterative application of a moving-average filter, which allows estimation and cancellation of the gradient artefact by integration.  ...  This work has been made possible by a grant from the European Union and Erasmus Mundus, EBW II Project, and by a grant from CNPq, Science without Borders Program.  ... 
doi:10.1155/2016/9614323 pmid:27446943 pmcid:PMC4942699 fatcat:ihx7pagfsjedrnikamudtgnh2q

A Novel EEG Feature Extraction Method Using Hjorth Parameter

Seung-Hyeon Oh, Yu-Ri Lee, Hyoung-Nam Kim
2014 International Journal of Electronics and Electrical Engineering  
An EEG signal has a non-stationary property and its frequency feature also differs from individual to individual.  ...  Thus, we can infer that each subject has one's own dominant timing and frequency band for extracting distinguishable features.  ...  The fact that EEG patterns are related to some physical tasks may be very applicable because it can be helpful for disabled people who can move a wheelchair or hit a key on a computer keyboard by controlling  ... 
doi:10.12720/ijeee.2.2.106-110 fatcat:b2vyccmu3rbj5fxspp2swrqdhy

Low Total Harmonic Distortion and High Power Factor in Parallel Active Power Filter

2019 International Journal of Scientific and Technological Research  
To overcome the power quality problems, the parallel active power filter PAPF is used in power systems.  ...  In the proposed control algorithm, synchronous reference frame SRF method and moving average filter MAF filter and space vector pulse width modulation SV-PWM technique are used to obtain low total harmonic  ...  Conclusions A new SRF-based control algorithm which applies a moving average filter and SV-PWM to obtain the reference abc current signals for active power filter is presented and tested in PSIM.  ... 
doi:10.7176/jstr/5-10-07 fatcat:ayxcccy5lvf57ei7wixaiyylvy

Trend Analysis of Modal Identification based Real-time Power System Oscillations using L1 Trend Filtering

José Oscullo, Jaime Cepeda, Carlos Gallardo, Lenin Haro
2021 International Journal of Robotics and Control Systems  
This application permits using data processors for estimating of frequency, damping, and amplitude of dominant mode oscillations observable in a specific electric signal (e.g., active power, frequency)  ...  In this paper, the application of a l1 filter for determining the trend analysis of high-dimensional data set resulted from a commercial modal identification is explored.  ...  Trend analysis of data In general, a data series trend is made by the application of linear regression or algorithms such as exponential smoothing or moving averages.  ... 
doi:10.31763/ijrcs.v1i2.311 fatcat:r25gztspr5f55boqrqg7ve5njm

The use of EMG signal in human-machine interface

Dawid Winiarski
2015 Automatyka/Automatics  
The observation of such bioelectric signals as EEGs, ECGs, and EMGs is often the basis for finding a particular disease or deciding on further treatment(s) for the patient.  ...  This signal is mainly used for testing motor dysfunction among people. The aim of the study is to present the problem of measuring and filtering an EMG signal.  ...  For smoothing the records, a RMS smoothing filter is recommended, as the results reflect the power of the signal.  ... 
doi:10.7494/automat.2015.19.2.47 fatcat:sslgx3hwvfcvpauliisezcfnya

A Novel Frequency and Positive Sequence Detector for Utility Applications and Power Quality Analysis

F.P. Marafao, S.M. Deckmann, E.K. Luna
2004 The Renewable Energies and Power Quality Journal (RE&PQJ)  
Furthermore, the PLL algorithm was implemented in a selective active filter to confirm the expectations in a closed-loop application.  ...  Based on multi-dimensional representation and vector calculus definitions, this paper proposes two novel and quite simple algorithms for utility applications and power quality analysis.  ...  In order to illustrate the PLL performance in a closed-loop power electronics application, an active power filter using selective harmonic control [20] was implemented and some results are presented  ... 
doi:10.24084/repqj02.255 fatcat:uw536jts5jgyfidx3476jjorwa

A Moving Object Indoor Tracking Model Based on Semiactive RFID

Hongshan Kong, Bin Yu
2018 Mathematical Problems in Engineering  
Compared with standard particle filter, the improved algorithm performance is better in the capability of tracking accuracy and robust and is more suitable for indoor tracking application in the complicated  ...  Aimed at the weak anti-interference and low accuracy problem of moving object indoor tracking based RFID, a moving object indoor tracking model based on semiactive RFID is presented.  ...  The active electronic tag has a power supply inside and an automatic answering function.  ... 
doi:10.1155/2018/4812057 fatcat:g3f5ossesbgc3ae7rjnimgxkje

Saviztky-Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage

Ammar Atif, Muhammad Khalid
2020 IEEE Access  
However, with the increase of energy-consuming devices, there is a burden to meet this demand with a clean power generation.  ...  This paper investigates the smoothing quality of the solar photovoltaic power output with the help of BESS using a couple of approaches such as low pass filtering (LPF), moving average (MA) filtering,  ...  The moving mean algorithm calculates a reference power value by averaging a recorded power data for a certain period.  ... 
doi:10.1109/access.2020.2973036 fatcat:53e74wzo2jh6hcfujhrulueqia

Novel Moving Average Filter for Detecting rms Voltage Step Changes in Triggerless PQ Data

Alvaro Furlani Bastos, Keng Weng Lao, Grazia Todeschini, Surya Santoso
2018 IEEE Transactions on Power Delivery  
VALIDATION AND APPLICATIONS This section demonstrates the application of the piecewise moving average filter proposed in Section III, and compares its performance to the moving average and median filters  ...  Load Energizing Application As a final case, Fig. 12 represents the rms voltage profile during a load energizing (the corresponding increase in active power flow is about 18 kW).  ... 
doi:10.1109/tpwrd.2018.2831183 fatcat:l3sgxe5rpbgj3lffokjh6aig2i
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