Cihan Tepedelenlioglu – författare
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10 produkter
Node Localization in Wireless Sensor Networks
Av Xue Zhang, Cihan Tepedelenlioglu m. fl.
Häftad, 2016
311 kr
Lägg i varukorg
In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and …
Distributed Network Structure Estimation Using Consensus Methods
Av Sai Zhang, Cihan Tepedelenlioglu m. fl.
Häftad, 2018
583 kr
Lägg i varukorg
The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages …
Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization
Av Henry Braun, Mahesh Banavar m. fl.
Häftad, 2011
365 kr
Lägg i varukorg
Although the solar energy industry has experienced rapid growth recently, high-level management of photovoltaic (PV) arrays has remained an open problem. As sensing and monitoring technology continues to improve, there is an opportunity to deploy sensors in PV arrays in order to improve their …
Machine Learning for Solar Array Monitoring, Optimization, and Control
Av Sunil Rao, Sameeksha Katoch m. fl.
Häftad, 2020
583 kr
Lägg i varukorg
The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays …
Reconstruction-Free Compressive Vision for Surveillance Applications
Av Henry Braun, Pavan Turaga m. fl.
Häftad, 2019
583 kr
Lägg i varukorg
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 including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have …
Node Localization in Wireless Sensor Networks
Av Andreas Spanias, Mahesh Banavar m. fl.
E-bok, 2022
399 kr
Lägg i varukorg
In sensor network applications, measured data are often meaningful only when the location is accurately known. In this booklet, we study research problems associated with node localization in wireless sensor networks. We describe sensor network localization problems in terms of a detection and …
Distributed Network Structure Estimation Using Consensus Methods
Av Mahesh Banavar, Andreas Spanias m. fl.
E-bok, 2022
734 kr
Lägg i varukorg
The area of detection and estimation in a distributed wireless sensor network (WSN) has several applications, including military surveillance, sustainability, health monitoring, and Internet of Things (IoT). Compared with a wired centralized sensor network, a distributed WSN has many advantages …
Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization
Av Shinichi Takeda, Tohru Takemasa m. fl.
E-bok, 2022
457 kr
Lägg i varukorg
Although the solar energy industry has experienced rapid growth recently, high-level management of photovoltaic (PV) arrays has remained an open problem. As sensing and monitoring technology continues to improve, there is an opportunity to deploy sensors in PV arrays in order to improve their …
Machine Learning for Solar Array Monitoring, Optimization, and Control
Av Andreas Spanias, Cihan Tepedelenlioglu m. fl.
E-bok, 2022
734 kr
Lägg i varukorg
The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays …
Reconstruction-Free Compressive Vision for Surveillance Applications
Av Cihan Tepedelenlioglu, Suren Jayasuriya m. fl.
E-bok, 2022
734 kr
Lägg i varukorg
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 including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have …