Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Saurav Talukdar"'
Publikováno v:
Entropy, Vol 20, Iss 10, p 749 (2018)
This article analyzes the effect of imperfections in physically realizable memory. Motivated by the realization of a bit as a Brownian particle within a double well potential, we investigate the energetics of an erasure protocol under a Gaussian mixt
Externí odkaz:
https://doaj.org/article/d21139c90da041cdb73ad21d528281ae
Autor:
Ana Radovanović, Ross Koningstein, Ian Schneider, Bokan Chen, Alexandre Duarte, Binz Roy, Diyue Xiao, Maya Haridasan, Patrick Hung, Nick Care, Saurav Talukdar, Eric Mullen, Kendal Smith, MariEllen Cottman, Walfredo Cirne
Publikováno v:
IEEE Transactions on Power Systems. 38:1270-1280
The amount of CO$_2$ emitted per kilowatt-hour on an electricity grid varies by time of day and substantially varies by location due to the types of generation. Networked collections of warehouse scale computers, sometimes called Hyperscale Computing
Publikováno v:
IEEE Transactions on Information Theory. 68:2123-2146
Mixture distributions are extensively used as a modeling tool in diverse areas from machine learning to communications engineering to physics, and obtaining bounds on the entropy of probability distributions is of fundamental importance in many of th
Publikováno v:
IEEE Transactions on Smart Grid. 11:4299-4310
Graphical models is a succinct way to represent the structure of a probability distributions. This article analyzes the graphical model of nodal voltages in non-radial power distribution grids. Using algebraic and structural properties of graphical m
Publikováno v:
IEEE Transactions on Control of Network Systems. 7:85-95
Linear consensus protocol is an iterative distributed algorithm with asymptotic convergence guarantees. This paper develops and analyzes an algorithm for agents running linear consensus iterations to detect convergence to consensus within a specified
Datacenter power demand has been continuously growing and is the key driver of its cost. An accurate mapping of compute resources (CPU, RAM, etc.) and hardware types (servers, accelerators, etc.) to power consumption has emerged as a critical require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f83ec2e0ced4fad0f150e767d39af3ba
Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data are central to many applications. However, dynamically related data-stre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e2f3231425f2cfd26d479095791bee
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 23:1532-1542
Optical tweezers have enabled important insights into intracellular transport through the investigation of motor proteins, with their ability to manipulate particles at the microscale, affording femto newton force resolution. Its use to realize a con
Publikováno v:
ACC
Learning the structure of a network from time series data, in particular cyclostationary data, is of significant interest in many disciplines such as power grids, biology and finance. In this article, an algorithm is presented for reconstruction of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb74da2a909184e91ee3dfa0fc585bbd
http://arxiv.org/abs/1903.09210
http://arxiv.org/abs/1903.09210
Publikováno v:
CDC
System identification of smart buildings is necessary for their optimal control and application in demand response. The thermal response of a building around an operating point can be modeled using a network of interconnected resistors with capacitor