Results 21 to 30 of about 18,430 (257)

EVM: Incorporating Model Checking into Exploratory Visual Analysis [PDF]

IEEE Transactions on Visualization and Computer Graphics, 2023
Visual analytics (VA) tools support data exploration by helping analysts quickly and iteratively generate views of data which reveal interesting patterns.
Alex Kale, Ziyang Guo, X. Qiao, Jeffrey Heer, J. Hullman   +4 more
semanticscholar   +1 more source

EVM Mitigation With PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM [PDF]

IEEE Transactions on Wireless Communications, 2022
Although signal distortion-based peak-to-average power ratio (PAPR) reduction is a feasible candidate for orthogonal frequency division multiplexing (OFDM) to meet standard/regulatory requirements, the error vector magnitude (EVM) stemming from the PAPR ...
Shashi Kant, M. Bengtsson, Gábor Fodor, B. Goransson, C. Fischione   +4 more
semanticscholar   +1 more source

DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode [PDF]

IEEE Transactions on Software Engineering, 2020
Smart contracts are Turing-complete programs running on the blockchain. They are immutable and cannot be modified, even when bugs are detected. Therefore, ensuring smart contracts are bug-free and well-designed before deploying them to the blockchain is ...
Jiachi Chen, Xin Xia, David Lo, J. Grundy, Xiapu Luo, Ting Chen   +5 more
semanticscholar   +1 more source

General Voting System for Democratic Countries Using Blockchain and Computer Technology

International Journal of Emerging Research in Engineering, Science, and Management, 2023
Secret voting in democratic countries using computational intelligence and Blockchain Technology, the vote is a fundamental right in democracy to elect people’s representatives at various levels. Manual voting is tedious and error prone. E-voting systems
Vandanababu Talakayala, Prashant Dahiwale, Sanjay Mate   +2 more
doaj   +1 more source

HybridDeepRx: Deep Learning Receiver for High-EVM Signals [PDF]

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2021
In this paper, we propose a machine learning (ML) based physical layer receiver solution for demodulating OFDM signals that are subject to a high level of nonlinear distortion.
Jaakko Pihlajasalo, D. Korpi, M. Honkala, J. Huttunen, T. Riihonen, J. Talvitie, Alberto Brihuega, M. Uusitalo, M. Valkama   +8 more
semanticscholar   +1 more source

The EvMed Assessment

Evolution, Medicine, and Public Health, 2023
Abstract Background and objectives Universities throughout the USA increasingly offer undergraduate courses in evolutionary medicine (EvMed), which creates a need for pedagogical resources. Several resources offer course content (e.g. textbooks) and a previous study identified EvMed core principles to
Taya Misheva, Randolph M Nesse, Daniel Z Grunspan, Sara E Brownell   +3 more
openaire   +1 more source

EVeilM : EVM Bytecode Obfuscation

Med den ökande populariteten för blockkedjeteknik och smarta kontrakt har behovet av säker och privat kod blivit viktigare än någonsin. Ethereum, som är en av de mest använda blockkedjeplattformarna, är inget undantag. Ethereum Virtual Machine (EVM) bytecode för smarta kontrakt är dock allmänt tillgänglig, vilket gör den sårbar för reverse engineering ...
Forissier, Titouan
core   +3 more sources

A Study of BER and EVM Degradation in Digital Modulation Schemes Due to PLL Jitter and Communication-Link Noise

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2022
A phase-locked-based frequency synthesizer – ubiquitously used to generate local oscillation in a communication transceiver – exhibits phase noise and jitter which considerably degrades bit-error rate (BER) and error vector magnitude (EVM) of a digital ...
Mohammad Oveisi, P. Heydari
semanticscholar   +1 more source

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

IEEE Photonics Journal, 2022
Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast ...
Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Sandis Spolitis, Vjaceslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozolins   +11 more
doaj   +1 more source

Experimental Evaluation of Transmitted Signal Distortion Caused by Power Allocation in Inter-Cell Interference Coordination Techniques for LTE/LTE-A and 5G Systems

IEEE Access, 2022
Error vector magnitude (EVM) and out-of-band emissions are key metrics for evaluating in-band and out-band distortions introduced by all potential non-idealities in the transmitters of wireless systems. As EVM is a measure of the quality of the modulated
Angela Hernandez-Solana, Paloma Garcia-Ducar, Antonio Valdovinos, Juan Ernesto Garcia, Jesus De Mingo, Pedro Luis Carro   +5 more
doaj   +1 more source