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Gowtham Muniraju
Arizona State University
7Publications
1H-index
4Citations
Publications 7
Newest
#1Gowtham Muniraju (ASU: Arizona State University)H-Index: 1
#2Cihan Tepedelenlioglu (ASU: Arizona State University)H-Index: 26
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
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A novel distributed algorithm for estimating the maximum of the node initial state values in a network, in the presence of additive communication noise is proposed. Conventionally, the maximum is estimated locally at each node by updating the node state value with the largest received measurements in every iteration. However, due to the additive channel noise, the estimate of the maximum at each node drifts at each iteration and this results in nodes diverging from the true max value. Max-plus a...
#1Xue ZhangH-Index: 6
Last.Gowtham MunirajuH-Index: 1
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In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are used for localization, due to existing hardware constraints, fading channels play a crucial role in localization accuracy. In a location estimation formulation, the Cramer-Rao lower bound for localization error is derived under different assumptions on fading coefficients. For the same level of localization accuracy, t...
#1Gowtham Muniraju (ASU: Arizona State University)H-Index: 1
#2Cihan Tepedelenlioglu (ASU: Arizona State University)H-Index: 26
Last.Mahesh K. Banavar (Clarkson University)H-Index: 12
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The analysis of a distributed consensus algorithm for estimating the maximum of the node initial state values in a network is considered in the presence of communication noise. Conventionally, the maximum is estimated by updating the node state value with the largest received measurements in every iteration at each node. However, due to additive channel noise, the estimate of the maximum at each node has a positive drift at each iteration and this results in nodes diverging from the true max val...
#1Abhinav Dixit (ASU: Arizona State University)
#2Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
Last.Photini Spanias (ASU: Arizona State University)H-Index: 3
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#1Sameeksha Katoch (ASU: Arizona State University)H-Index: 1
#2Gowtham Muniraju (ASU: Arizona State University)H-Index: 1
Last.Devarajan SrinivasanH-Index: 2
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This paper describes three methods used in the development of a utility-scale solar cyber-physical system. The study describes remote fault detection using machine learning approaches, power output optimization using cloud movement prediction and consensus-based solar array parameter estimation. Dynamic cloud movement, shading and soiling, lead to fluctuations in power output and loss of efficiency. For optimization of output power, a cloud movement prediction algorithm is proposed. Integrated f...
#2Bhavya KailkhuraH-Index: 10
Last.Peer-Timo BremerH-Index: 27
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A common challenge in machine learning and related fields is the need to efficiently explore high dimensional parameter spaces using small numbers of samples. Typical examples are hyper-parameter optimization in deep learning and sample mining in predictive modeling tasks. All such problems trade-off exploration, which samples the space without knowledge of the target function, and exploitation where information from previous evaluations is used in an adaptive feedback loop. Much of the recent f...
#1Gowtham Muniraju (ASU: Arizona State University)H-Index: 1
#2Sai Zhang (ASU: Arizona State University)H-Index: 4
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A distributed spectral clustering algorithm to group sensors based on their location in a wireless sensor network (WSN) is proposed. For machine learning and data mining applications in WSN's, gathering data at a fusion center is vulnerable to attacks and creates data congestion. To avoid this, we propose a robust distributed clustering method without a fusion center. The algorithm combines distributed eigenvector computation and distributed K-means clustering. A distributed power iteration meth...
#1Gowtham Muniraju (ASU: Arizona State University)H-Index: 1
#2Sunil Rao (ASU: Arizona State University)H-Index: 2
Last.Devarajan SrinivasanH-Index: 2
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