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Efficiently Extracting Randomness from Imperfect Stochastic Processes [article]

Hongchao Zhou, Jehoshua Bruck
2012 arXiv   pre-print
We study the problem of extracting a prescribed number of random bits by reading the smallest possible number of symbols from non-ideal stochastic processes.  ...  bits from general stochastic processes and approach the information theoretic upper bound on efficiency.  ...  Existing algorithms for extracting randomness from perfect stochastic processes cannot work for imperfect stochastic processes, where uncertainty exists.  ... 
arXiv:1209.0734v1 fatcat:l7xpbxfxlfacpdlpqgi6apknym

Exploiting Non-idealities of Resistive Switching Memories for Efficient Machine Learning

Victor Yon, Amirali Amirsoleimani, Fabien Alibart, Roger G. Melko, Dominique Drouin, Yann Beilliard
2022 Frontiers in Electronics  
However, resistive switch technology is immature and suffers from numerous imperfections, which are often considered limitations on implementations of artificial neural networks.  ...  We illustrate the possible benefits of stochasticity and compression with examples of well-established software methods.  ...  RSM Training RSM Network Exp Type Type Usage Lin et al. (2019) BNN Random Telegraph Noise; Read Energy-efficient stochastic sampling Exp.  ... 
doi:10.3389/felec.2022.825077 fatcat:tian3vabpfbnlpuukvqobq2yzq

Variable-length extractors

Hongchao Zhou, Jehoshua Bruck
2012 2012 IEEE International Symposium on Information Theory Proceedings  
The topic of generating random bits from imperfect random sources was studied extensively.  ...  Our variable-length extractors have two important properties: (i) they approach the information theoretic upper bound on efficiency (entropy of the source) while the extracted bits are random in the sense  ...  generating random bits from noisy stochastic processes.  ... 
doi:10.1109/isit.2012.6283024 dblp:conf/isit/ZhouB12 fatcat:46zl47zazjbwpfuvnd7ioeh53a

Statistical extraction and modeling of inductance considering spatial correlation

Zhigang Hao, Sheldon X.-D. Tan, E. Tlelo-Cuautle, Jacob Relles, Chao Hu, Wenjian Yu, Yici Cai, Guoyong Shi
2011 Analog Integrated Circuits and Signal Processing  
To further improve the efficiency of the proposed method, a random variable reduction scheme is used.  ...  The new method, called statHenry, is based on the collocation-based spectral stochastic method where orthogonal polynomials are used to represent the statistical processes.  ...  In the nanometer regime, circuit layout will have significant variations, both systematic and random, coming from the fabrication process.  ... 
doi:10.1007/s10470-011-9720-8 fatcat:e2hbstxlfjb5vjgqj325encore

Table of Contents

2020 IEEE Transactions on Signal Processing  
Liu, (Contents Continued on Page xi) (Contents Continued from Page x) Generating Sparse Stochastic Processes Using Matched Splines . . . . . . . . . . . . . . . . . . L. Dadi, S.  ...  Smith 1374 Variance-Reduced Stochastic Learning Under Random Reshuffling . . . . . . . . . . . . . . . . . B. Ying, K. Yuan, and A. H.  ... 
doi:10.1109/tsp.2020.3042287 fatcat:nh7viihaozhd7li3txtadnx5ui

Statistical extraction and modeling of 3-D inductance with spatial correlation

Jacob Relles, Muhua Ngan, E. Tlelo-Cuautle, Sheldon X.-D. Tan, Chao Hu, Wenjian Yu, Yici Cai
2010 2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD)  
To further improve the efficiency of the proposed method, a random variable reduction scheme is used.  ...  In this paper, we present a novel method for inductance extraction and modeling for interconnects considering process variations.  ...  In the nanometer regime, circuit layout will have significant variations, both systematic and random, coming from the fabrication process.  ... 
doi:10.1109/sm2acd.2010.5672360 fatcat:27tmudoqtfbnpdqivdhb5inv6a

Table of Contents [EDICS]

2020 IEEE Transactions on Signal Processing  
Gustafsson 3590 Generating Sparse Stochastic Processes Using Matched Splines . , and S. Cecchi 5308 (Contents Continued on Page xxiii) (Contents Continued from Page xxii) and K. C.  ...  Rajawat 2287 Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels . . . . . . . . . . . . . . . . . . F. Ilhan and S. S.  ...  Ren Other Areas and Applications Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tsp.2020.3045363 fatcat:wcnvdcy3rvhblh7rtxfe6gz4re

A Closer Look at Security in Random Number Generators Design [chapter]

Viktor Fischer
2012 Lecture Notes in Computer Science  
Random numbers are often used in key generation processes, authentication protocols, zeroknowledge protocols, padding, in many digital signature and encryption schemes, and even in some side channel attack  ...  The issue of random number generation is crucial for the implementation of cryptographic systems.  ...  randomness extraction; (iii) guaranteeing the security (e.g. by a robust design or by an efficient online testing).  ... 
doi:10.1007/978-3-642-29912-4_13 fatcat:b3q6ly3jfbgmdi4pr5uha5jk4i

Homodyne-based quantum random number generator at 2.9 Gbps secure against quantum side-information

Tobias Gehring, Cosmo Lupo, Arne Kordts, Dino Solar Nikolic, Nitin Jain, Tobias Rydberg, Thomas B. Pedersen, Stefano Pirandola, Ulrik L. Andersen
2021 Nature Communications  
, as well as analog-to-digital converter imperfections.  ...  AbstractQuantum random number generators promise perfectly unpredictable random numbers.  ...  Acknowledgements The authors acknowledge support from the Innovation Fund Denmark through the Quantum Innovation Center, Qubiz.  ... 
doi:10.1038/s41467-020-20813-w pmid:33504789 fatcat:whutvxgvvnf4pgyy33i26tbfk4

2020 Index IEEE Transactions on Signal Processing Vol. 68

2020 IEEE Transactions on Signal Processing  
., +, TSP 2020 6255-6271 Variance-Reduced Stochastic Learning Under Random Reshuffling.  ...  ., +, TSP 2020 3990-4001 Efficient Attributed Scatter Center Extraction Based on Image-Domain Sparse Representation.  ... 
doi:10.1109/tsp.2021.3055469 fatcat:6uswtuxm5ba6zahdwh5atxhcsy

General purpose software for efficient uncertainty management of large finite element models

Edoardo Patelli, H. Murat Panayirci, Matteo Broggi, Barbara Goller, Pierre Beaurepaire, Helmut J. Pradlwarter, Gerhart I. Schuëller
2012 Finite elements in analysis and design  
Hence, resorting to efficient approaches and high performance computing is required in order to reduce the execution time.  ...  The aim of this paper is to demonstrate that stochastic analyses can be performed on large and complex models within affordable costs.  ...  ,x n are random values generated from a set of n independent standard normal RVs and m Y is the mean vector of the stochastic process (random field).  ... 
doi:10.1016/j.finel.2011.11.003 pmid:22474398 pmcid:PMC3284776 fatcat:jj5xhz4hrzafzmye5wtmeyz3nu

Combining top-down and bottom-up approaches for building detection in a single very high resolution satellite image

Mahmoud Mohammed Sidi Youssef, Clement Mallet, Nesrine Chehata, Arnaud Le Bris, Adrien Gressin
2014 2014 IEEE Geoscience and Remote Sensing Symposium  
Existing methods exhibit various flaws and prevent them from being efficient at large scales of space and time: they are context-dependent, require a tedious parameter tuning or several data sources.  ...  Building detection from geospatial optical images has been a popular topic of research for the last twenty years and in particular with the emergence of very high resolution satellites.  ...  Reference footprints have been extracted from an imperfect existing 2D topographic database. The resulting building/non-building binary image is compared to the output of our automatic process.  ... 
doi:10.1109/igarss.2014.6947573 dblp:conf/igarss/YoussefMCBG14 fatcat:wacfrijbz5g5beww2sy3opsvci

Optimal charging of open spin-chain quantum batteries via homodyne-based feedback control [article]

Y. Yao, X. Q. Shao
2022 arXiv   pre-print
For completeness, the adverse effects of imperfect measurement, anisotropic parameter, and finite temperature on the charging process of the quantum battery are also considered.  ...  For the zero temperature environment, there is a set of optimal parameters to ensure that the spin-chain quantum battery can be fully charged and the energy stored in the battery can be fully extracted  ...  Random dynamics, imperfect measurement, and different initial state In order to show the stochastic nature of the measurement and feedback processes, in Fig. 4 , we numerically simulate 200 random trajectories  ... 
arXiv:2207.05926v1 fatcat:lolofte2tjg27f7fkwh6n5aomm

Quantisation feasibility and performance of RSS-based secret key extraction in VANETs

Mirko Bottarelli, Gregory Epiphaniou, Dhouha Kbaier Ben Ismail, Petros Karadimas, Haider Al-Khateeb
2018 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)  
Preliminary findings show that RSS-based algorithms do not perform efficiently in the proposed vehicular stochastic wireless model.  ...  , to further improve secret bit extraction throughput.  ...  Quantisation plays a primary role in the entire extraction process because its output has the potential of becoming a shared secret key and its performance dramatically influences the overall efficiency  ... 
doi:10.1109/cybersecpods.2018.8560676 dblp:conf/cybersecpods/BottarelliEIKA18 fatcat:ok7s5g5635bfrbofxt7k2ptole

Model Error in Filtering Random Compressible Flows Utilizing Noisy Lagrangian Tracers

Nan Chen, Andrew J. Majda
2016 Monthly Weather Review  
Besides the full optimal filter, two practical imperfect filters are proposed.  ...  The random flow fields are defined through random amplitudes of Fourier eigenmodes of the rotating shallow-water equations that contain both incompressible geostrophically balanced (GB) flows and rotating  ...  since it is practically impossible to extract the component that corresponds to the random GB signals from the full noisy observations.  ... 
doi:10.1175/mwr-d-15-0438.1 fatcat:cfsf6r5qynffhon2buavlwsv54
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