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Henry Braun
Arizona State University
17Publications
6H-index
124Citations
Publications 16
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#1Henry Braun (ASU: Arizona State University)H-Index: 6
#2Pavan Turaga (ASU: Arizona State University)H-Index: 24
Last.Cihan Tepedelenlioglu (ASU: Arizona State University)H-Index: 26
view all 6 authors...
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...
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#1Sunil Rao (ASU: Arizona State University)H-Index: 4
#2Sameeksha Katoch (ASU: Arizona State University)H-Index: 3
Last.Devarajan SrinivasanH-Index: 5
view all 11 authors...
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...
10 CitationsSource
Nov 1, 2016 in ASILOMAR (Asilomar Conference on Signals, Systems and Computers)
#1Henry BraunH-Index: 6
#2Pavan TuragaH-Index: 24
Last.Cihan TepedelenliogluH-Index: 26
view all 4 authors...
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...
3 CitationsSource
#1Sai Zhang (ASU: Arizona State University)H-Index: 5
Last.Andreas SpaniasH-Index: 28
view all 5 authors...
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...
2 CitationsSource
#1Henry Braun (ASU: Arizona State University)H-Index: 6
#2S. T. Buddha (ASU: Arizona State University)H-Index: 3
Last.Devarajan Srinivasan (ASU: Arizona State University)H-Index: 5
view all 7 authors...
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,...
20 CitationsSource
Apr 1, 2016 in MELECON (Mediterranean Electrotechnical Conference)
#1Sunil Rao (ASU: Arizona State University)H-Index: 4
#2David Ramirez Dominguez (ASU: Arizona State University)H-Index: 5
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
view all 11 authors...
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...
11 CitationsSource
#1Henry BraunH-Index: 6
#2Pavan TuragaH-Index: 24
Last.Cihan TepedelenliogluH-Index: 26
view all 4 authors...
#1Henry Braun (ASU: Arizona State University)H-Index: 6
#2Shwetang Peshin (ASU: Arizona State University)H-Index: 2
Last.Devarajan SrinivasanH-Index: 5
view all 7 authors...
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...
2 CitationsSource
#1Shwetang Peshin (ASU: Arizona State University)H-Index: 2
#2Andreas SpaniasH-Index: 28
Last.Devarajan SrinivansanH-Index: 1
view all 8 authors...
8 CitationsSource
#1Mahesh K. Banavar (ASU: Arizona State University)H-Index: 14
#2Deepta Rajan (ASU: Arizona State University)H-Index: 4
Last.A. Spanias (ASU: Arizona State University)H-Index: 4
view all 7 authors...
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...
6 CitationsSource
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