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Henry Braun
Arizona State University
17Publications
4H-index
76Citations
Publications 17
Newest
Published on May 2, 2019in Synthesis Lectures on Signal Processing
Henry Braun4
Estimated H-index: 4
(ASU: Arizona State University),
Pavan K. Turaga21
Estimated H-index: 21
(ASU: Arizona State University)
+ 3 AuthorsCihan Tepedelenlioglu26
Estimated H-index: 26
(ASU: Arizona State University)
Abstract Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors includi...
Published on Aug 1, 2017
Sunil Rao2
Estimated H-index: 2
(ASU: Arizona State University),
Sameeksha Katoch1
Estimated H-index: 1
(ASU: Arizona State University)
+ 8 AuthorsMahesh K. Banavar12
Estimated H-index: 12
(Clarkson University)
In this paper, we describe a Cyber-Physical system approach to Photovoltaic (PV) array control. A machine learning and computer vision framework is proposed for improving the reliability of utility scale PV arrays by leveraging video analysis of local skyline imagery, customized machine learning methods for fault detection, and monitoring devices that sense data and actuate at each individual panel. Our approach promises to improve efficiency in renewable energy systems using cyber-enabled senso...
Published on Nov 1, 2016 in ASILOMAR (Asilomar Conference on Signals, Systems and Computers)
Henry Braun4
Estimated H-index: 4
,
Pavan K. Turaga21
Estimated H-index: 21
+ 1 AuthorsCihan Tepedelenlioglu26
Estimated H-index: 26
We examine a potential technique of performing a classification task based on compressively sensed (CS) data, skipping a computationally expensive reconstruction step. A deep Boltzmann machine is trained on a compressive representation of MNIST handwritten digit data, using a random orthoprojector sensing matrix. The network is first pre-trained on uncompressed data in order to learn the structure of the dataset. The outer network layers are then optimized using backpropagation. We find this app...
Published on Sep 1, 2016
Sai Zhang4
Estimated H-index: 4
(ASU: Arizona State University),
Cihan Tepedelenlioglu26
Estimated H-index: 26
+ 2 AuthorsAndreas Spanias26
Estimated H-index: 26
(ASU: Arizona State University)
System size estimation in distributed wireless sensor networks is important in various applications such as network management and maintenance. One popular method for system size estimation is to use distributed consensus algorithms with randomly generated initial values at nodes. In this paper, the performance of such methods is studied and Fisher information and Cramer-Rao bounds (CRBs) for different consensus algorithms are derived. Errors caused by communication noise and lack of convergence...
Published on Jun 1, 2016in Sustainable Energy, Grids and Networks
Henry Braun4
Estimated H-index: 4
(ASU: Arizona State University),
Santoshi T. Buddha3
Estimated H-index: 3
(ASU: Arizona State University)
+ 4 AuthorsDevarajan Srinivasan2
Estimated H-index: 2
(ASU: Arizona State University)
As more utility scale photovoltaic (PV) power plants are installed, there is a need to improve monitoring and management of PV arrays. A procedure is presented here for optimizing the electrical configuration of a PV array under a variety of operating conditions. Computer simulations and analysis with synthetic and real data are presented in this paper. The performance of the optimization system is evaluated for a variety of partial shading conditions using a SPICE circuit simulator. In general,...
Published on Apr 1, 2016 in MELECON (Mediterranean Electrotechnical Conference)
Sunil Rao2
Estimated H-index: 2
(ASU: Arizona State University),
David Ramirez Dominguez3
Estimated H-index: 3
(ASU: Arizona State University)
+ 8 AuthorsYoshitaka Morimoto1
Estimated H-index: 1
Monitoring utility-scale solar arrays was shown to minimize cost of maintenance and help optimize the performance of the array under various conditions. In this paper, we describe the design of an 18 kW experimental facility that consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchan...
Published on Jan 1, 2016
Henry Braun4
Estimated H-index: 4
,
Pavan K. Turaga21
Estimated H-index: 21
+ 1 AuthorsCihan Tepedelenlioglu26
Estimated H-index: 26
Published on Sep 1, 2015
Henry Braun4
Estimated H-index: 4
(ASU: Arizona State University),
Shwetang Peshin1
Estimated H-index: 1
(ASU: Arizona State University)
+ 4 AuthorsDevarajan Srinivasan2
Estimated H-index: 2
Electrical mismatch between modules in a PV array due to partial shading causes energy losses beyond the shaded module. This occurs because unshaded modules are forced to operate away from their maximum power point in order to compensate for the shading. Here we present an irradiance estimation algorithm for use in a mismatch mitigation system. Irradiance is estimated using measurements of module voltage, current, and back surface temperature. These estimates may be used to optimize an array's e...
Published on Jan 1, 2015
Shwetang Peshin1
Estimated H-index: 1
(ASU: Arizona State University),
Andreas Spanias26
Estimated H-index: 26
+ 5 AuthorsDevarajan Srinivansan1
Estimated H-index: 1
Published on Oct 1, 2014
Mahesh K. Banavar12
Estimated H-index: 12
(ASU: Arizona State University),
Deepta Rajan4
Estimated H-index: 4
(ASU: Arizona State University)
+ 4 AuthorsAndreas Spanias26
Estimated H-index: 26
(ASU: Arizona State University)
The objective of this project is to develop and design mobile content for introducing engineering technology to high school students. More specifically, we intend to work on a sequence of modules that will establish connections between high school mathematics and physics to modern technologies associated with smart phones, iPods and other high-tech products. The participants of the project will use the previously developed AJDSP (for Android devices) and iJDSP (for iPhones and iPads) apps to fac...
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