Real-time experimental generalized minimum variance control of operating parameters in an electrocoagulation process

2019 ◽  
Vol 139 ◽  
pp. 305-318 ◽  
Author(s):  
Sule Camcioglu ◽  
Baran Ozyurt ◽  
Hale Hapoglu
Keyword(s):  
Real Time ◽  
Minimum Variance ◽  
Operating Parameters ◽  
Minimum Variance Control ◽  
Electrocoagulation Process

scholarly journals Stochastic Control for DC–DC Power Converters: A Generalized Minimum Variance Control Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 13410-13417
Author(s):  
Kevin E. Lucas ◽  
Daniel J. Pagano ◽  
Douglas A. Plaza ◽  
David Alejandro Vaca—Benavides ◽  
Sara J. Ríos
Keyword(s):  
Stochastic Control ◽  
Power Converters ◽  
Minimum Variance ◽  
Control Approach ◽  
Minimum Variance Control ◽  
Dc Power

scholarly journals Application of Electrocoagulation Process for Dairy Wastewater Treatment

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Edris Bazrafshan ◽  
Hossein Moein ◽  
Ferdos Kord Mostafapour ◽  
Shima Nakhaie
Keyword(s):  
Reaction Time ◽  
Applied Voltage ◽  
Oxygen Demand ◽  
Dairy Wastewater ◽  
Operating Parameters ◽  
Pollution Load ◽  
Reliable Technique ◽  
Electrocoagulation Process ◽  
Aluminum Electrodes ◽  
Industry Wastewater

Dairy industry wastewater is characterized by high biochemical oxygen demand (BOD5), chemical oxygen demand (COD), and other pollution load. The purpose of this study was to investigate the effects of the operating parameters such as applied voltage, number of electrodes, and reaction time on a real dairy wastewater in the electrocoagulation process. For this purpose, aluminum electrodes were used in the presence of potassium chloride as electrolytes. It has been shown that the removal efficiency of COD, BOD5, and TSS increased with increasing the applied voltage and the reaction time. The results indicate that electrocoagulation is efficient and able to achieve 98.84% COD removal, 97.95% BOD5removal, 97.75% TSS removal, and >99.9% bacterial indicators at 60 V during 60 min. The experiments demonstrated the effectiveness of electrocoagulation techniques for the treatment of dairy wastewaters. Finally, the results demonstrated the technical feasibility of electrocoagulation process using aluminum electrodes as a reliable technique for removal of pollutants from dairy wastewaters.

PARALLEL ALGORITHMS FOR ADAPTIVE MATCHED-FIELD PROCESSING ON DISTRIBUTED ARRAY SYSTEMS

2004 ◽  
Vol 12 (02) ◽  
pp. 149-174 ◽  
Author(s):  
KILSEOK CHO ◽  
ALAN D. GEORGE ◽  
RAJ SUBRAMANIYAN ◽  
KEONWOOK KIM
Keyword(s):  
Parallel Algorithms ◽  
Real Time ◽  
Digital Signal Processor ◽  
High Performance ◽  
Digital Signal ◽  
Minimum Variance ◽  
Adaptive Beamforming ◽  
Matched Field Processing ◽  
Minimum Variance Distortionless Response ◽  
Distributed Array

Matched-field processing (MFP) localizes sources more accurately than plane-wave beamforming by employing full-wave acoustic propagation models for the cluttered ocean environment. The minimum variance distortionless response MFP (MVDR–MFP) algorithm incorporates the MVDR technique into the MFP algorithm to enhance beamforming performance. Such an adaptive MFP algorithm involves intensive computational and memory requirements due to its complex acoustic model and environmental adaptation. The real-time implementation of adaptive MFP algorithms for large surveillance areas presents a serious computational challenge where high-performance embedded computing and parallel processing may be required to meet real-time constraints. In this paper, three parallel algorithms based on domain decomposition techniques are presented for the MVDR–MFP algorithm on distributed array systems. The parallel performance factors in terms of execution times, communication times, parallel efficiencies, and memory capacities are examined on three potential distributed systems including two types of digital signal processor arrays and a cluster of personal computers. The performance results demonstrate that these parallel algorithms provide a feasible solution for real-time, scalable, and cost-effective adaptive beamforming on embedded, distributed array systems.

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