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Boolean algebra and harmonic function based computation analysis: a survey and analysis

Jay Prakash Tiwari, Manish Pande
2019 International Journal of Advanced Technology and Engineering Exploration  
Boolean algebra and harmonic function have been used in different field, including, data, science, statistics, medical and circuit domain.  ...  It also explores the trends, the approach, area of applicability and produced output. It helps in the exploration in finding the gaps so that future efficient framework can be developed.  ...  Conflicts of interest The authors have no conflicts of interest to declare.  ... 
doi:10.19101/ijatee.2019.650036 fatcat:orcp5z7ljjeezblrm7vsfqkfyu

Page 1809 of Mathematical Reviews Vol. , Issue 86d [page]

1986 Mathematical Reviews  
Using this method the author obtains 94D Fuzzy sets and logic 86d:94046 an n3/2 lower bound for the Boolean convolution.  ...  Rudeanu (Bucharest) 86d:94039 86d:94038 Sobczyk, Tadeusz (PL-AMM); Sapiriski, Bogdan (PL-AMM) Harmonic analysis of currents in R, L systems with semiconductor switching devices.  ... 

Automated Tool Based on Deep Learning to Assess Voltage Dips Validity: Integration in the QuEEN MV network Monitoring System

M. Zanoni, Ricerca sul Sistema Energetico – RSE S.p.A., Milano. Italy, R. Chiumeo, L. Tenti, M. Volta
2021 The Renewable Energies and Power Quality Journal (RE&PQJ)  
Thanks to this tool, a comparison between the performance of DELFI and those of an older criterion based on the 2nd voltage harmonic measurement has been performed using data recorded by 61 measurement  ...  Power Quality analysis.  ...  Acknowledgement This work has been financed by the Research Fund for the Italian Electrical System in compliance with the Decree of Minister of Economic Development April 16, 2018.  ... 
doi:10.24084/repqj19.265 fatcat:qadvmgf46reoznwpo7yfypnunm

2019 Index IEEE Transactions on Control of Network Systems Vol. 6

2019 IEEE Transactions on Control of Network Systems  
., +, TCNS March 2019 72-81 Boolean algebra Structural Oscillatority Analysis of Boolean Networks.  ...  ., +, TCNS March 2019 2-12 Structural Oscillatority Analysis of Boolean Networks.  ... 
doi:10.1109/tcns.2020.2967203 fatcat:y7saxrrnzvgxjmzz2vrl62ranu

From STP to game-based control

Daizhan Cheng, Hongsheng Qi, Zequn Liu
2017 Science China Information Sciences  
Particularly, the algebraic state space representation of logical systems and the important role it plays in analysis and control of logical systems are emphasized.  ...  This paper provides a comprehensive survey on semi-tensor product (STP) of matrices and its applications to different disciplines. First of all, the STP and its basic properties are introduced.  ...  Acknowledgements This work was supported partly by National Natural Science Foundation of China (NSFC) (Grant Nos. 61333001, 61773371, 61733018) .  ... 
doi:10.1007/s11432-017-9265-2 fatcat:vckb3ifiavh4rjriq4vn4w4num

Template-based intervention in Boolean network models of biological systems

Michael P Verdicchio, Seungchan Kim
2014 EURASIP Journal on Bioinformatics and Systems Biology  
Despite its simplicity, the Boolean network model has proven to be quite viable at approximating certain aspects of biological processes [1] . For example, it has been used to simulate the yeast  ...  Boolean networks are among the simplest of models, yet they have been shown to adequately model many of the complex dynamics of biological systems.  ...  Andy Wuensche and Dr. Dan Bryce for helpful discussions. MV was partially supported by a grant from The Citadel Foundation.  ... 
doi:10.1186/s13637-014-0011-4 pmid:28194161 pmcid:PMC5270454 fatcat:yabftdbp2bcsrcqcrinwodvs2u

2009 Index IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Vol. 28

2009 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
., and Gielen, G. G. E., Globally Reliable Variation-Aware Sizing Ko, H.  ...  ., +, TCAD April 2009 516-527 Vectors Harmonic-Balance Algorithms for the Circuit-Level Nonlinear Analysis of UWB Receivers in the Presence of Interfering Signals.  ...  Han, W., +, TCAD Dec. 2009 1830-1843 Wireless channels Harmonic-Balance Algorithms for the Circuit-Level Nonlinear Analysis of UWB Receivers in the Presence of Interfering Signals.  ... 
doi:10.1109/tcad.2009.2036802 fatcat:hxyu2mmrnzfnbi6qlt6bklkgku

Table of contents

2020 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Funes 1269 Robustness of Coherence in Noisy Scale-Free Networks and Applications to Identification of Influential Spreaders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Marques 1239 Control Theory Topics in Circuits and Systems, Power Systems and Electronic Circuits Set Stabilization of Boolean Control Networks With Impulsive Effects: An Event-Triggered Approach . . .  ... 
doi:10.1109/tcsii.2020.2999046 fatcat:staomzv6srgjpbhsy577sluoum

Power Quality Classification of disturbances using Discrete Wavelet Packet Transform (DWPT) with Adaptive Neuro-Fuzzy System

K.RamaMohana Reddy Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
In order to overcome this problem, this paper presents Discrete Packet Wavelet Transform-Kalman filter based Adaptive Neuro-Fuzzy approach for identification and classification of PQ events.  ...  The proposed method is Implemented and tested using MATLAB and it provides more accuracy when compared to the existing systems such as Discrete Wavelet Transform based Fuzzy Logic Adaptive System and Fourier  ...  Structure of ANFIS: Parameter Identification problems are solved using ANFIS.  ... 
doi:10.17762/turcomat.v12i3.1995 fatcat:plqdhwmsoje67ehak7gob56wem

A Schmitt Trigger Based Oscillatory Neural Network for Reservoir Computing

Ting Zhang, Mohammad Rafiqul Haider
2020 Journal Electrical and Electronic Engineering  
Principle Component Analysis (PCA) is used to reduce the data dimension, and Support Vector Machine (SVM) is used to classify the synchronous and asynchronous data.  ...  This paper proposes a method of information processing by training and modulating the weights of the intrinsic electronic neural network to achieve the next step prediction.  ...  Acknowledgements We thank Ruikuan Lu from the University of Alabama at Birmingham for technical support and valuable discussion. The authors are thankful for the support of funding from the  ... 
doi:10.11648/j.jeee.20200801.11 fatcat:htwd2m32k5efxivzqfzyschnku

The CoLoMoTo Interactive Notebook: Accessible and Reproducible Computational Analyses for Qualitative Biological Networks [article]

Aurélien Naldi, Céline Hernandez, Nicolas Levy, Gautier Stoll, Pedro T Monteiro, Claudine Chaouiya, Tomáš Helikar, Andrei Zinovyev, Laurence Calzone, Sarah Cohen-Boulakia, Denis Thieffry, Loïc Paulevé
2018 biorxiv/medrxiv   pre-print
To date, the CoLoMoTo Interactive Notebook provides access to software tools including GINsim, BioLQM, Pint, MaBoSS, and Cell Collective for the modelling and analysis of Boolean and multi-valued networks  ...  The accessibility and reproducibility of such workflows is challenging, as publications often overlook analysis details, and because some of these tools may be difficult to install, and/or have a steep  ...  The authors thank Laurent Darré and the technical staff at LRI, Université Paris-Sud, France, for providing the computing resources for hosting  ... 
doi:10.1101/290411 fatcat:323tcvye7nc6dijxmj3laoa57q

CDEGenerator: an online platform to learn from existing data models to build model registries

Julian Varghese, Michael Fujarski, Stefan Hegselmann, Philipp Neuhaus, Martin Dugas
2018 Clinical Epidemiology  
A newly developed analysis module called CDEGenerator provides systematic comparison of selected data models and user-tailored creation of minimum data sets or harmonized item catalogs.  ...  Results: The analysis and item-tailoring module provides multilingual comparisons of semantically complex eligibility criteria of clinical trials.  ...  Disclosure The authors report no conflicts of interest in this work.  ... 
doi:10.2147/clep.s170075 pmid:30127646 pmcid:PMC6089100 fatcat:7xrv52x5jjhtpintzgtyvjhfji

Advanced Machine Learning Functionalities in the Medium Voltage Distributed Monitoring System QuEEN: A Macro-Regional Voltage Dips Severity Analysis

Michele Zanoni, Riccardo Chiumeo, Liliana Tenti, Massimo Volta
2021 Energies  
This system is aimed to monitor voltage dips in the Italian distribution network mainly for survey and research purposes.  ...  Identification) and the FExWaveS + SVM classifier (Features Extraction from Waveform Segmentation + Support Vector Machine classifier).  ...  Results show that the Not Defined events, without any Boolean identification by the 2nd harmonic criterion, are mostly classified as True events by the DELFI classifier.  ... 
doi:10.3390/en14237949 fatcat:ff7f5ukfm5gqvhd3w3xuv6jcbq

Detection of Non-Technical Losses in Electric Distribution Network by Applying Machine Learning and Feature Engineering

Rakhi Yadav, Yogendra Kumar
2021 Journal Europeen des Systemes Automatises  
These losses have a severe impact on distribution utilities and adversely affect the performance of electrical distribution networks.  ...  This paper proposed a model for the detection of non-technical losses based on machine learning and feature engineering. Experimental results check the performance of the proposed model.  ...  Similarly, the feature 'serial number' and 'account id' are used for unique identification. Hence, one of them can only be used for identification.  ... 
doi:10.18280/jesa.540312 fatcat:fwaqh44zwzevjnoesafbmii364

2013 Index IEEE Transactions on Automatic Control Vol. 58

2013 IEEE Transactions on Automatic Control  
., and Shroff, N. B  ...  ., +, TAC June 2013 1390-1401 Boolean functions Aggregation Algorithm Towards Large-Scale Boolean Network Analysis.  ...  ., +, TAC Nov. 2013 2929-2933 Aggregation Algorithm Towards Large-Scale Boolean Network Analysis.  ... 
doi:10.1109/tac.2013.2295962 fatcat:3zpqog4r4nhoxgo4vodx4sj3l4
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