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In this paper, a control strategy for power flow management of a grid-connected hybrid photovoltaic (PV)–wind battery-based system with an efficient multi-input transformer coupled bidirectional dc–dc converter is presented. The proposed system aims to satisfy the load demand, manage the power flow from different sources, inject the surplus power into the grid, and charge the battery from the grid as and when required. A transformer-coupled boost half-bridge converter is used to harness power from wind, while a bidirectional buck– boost converter is used to harness power from PV along with battery charging/discharging control. A single-phase full-bridge bidirectional converter is used for feeding ac loads and interaction with the grid. The proposed converter architecture has reduced number of power conversion stages with less component count and reduced losses compared with existing grid-connected hybrid systems. This improves the efficiency and the reliability of the system. Simulation results obtained using MATLAB/Simulink show the performance of the proposed control strategy for power flow management under various modes of operation. The effectiveness of the topology of the proposed control strategy are validated through detailed experimental studies to demonstrate the capability of the system operation in different modes.
Coordinated and adaptive information collecting in target tracking wireless s...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
This paper is studied on the aspects of the intelligent electronic warfare in any action involving the use of EM spectrum to control the spectrum attack of an enemy or impede enemy assaults via the spectrum. The purpose of EW is to deny the opponent the advantage of and ensure friendly unimpeded access to the EM spectrum The principal EW activities have been developed over time to exploit the opportunities and vulnerabilities that are inherent in the physics of EM energy and now it is taking its new dimensions in the era of applying AI techniques and algorithms to make system intelligent .The EW is subdivided into EA, EP and EWS .The study of this paper is mainly focused on EWS measures to counter the electronic attack by the enemy to recognize the threat, targeting, planning and conduct of future operation. Basically these measures are taken out by the designed systems and trained operator to make electronic intercepts (ELINT) and then classify based known Signal Intelligence, to detect the return information to identify the unique characteristics of specific radar by the signals by the human operator can be susceptible to different natural, environmental and conscience of the present human operator. In this context estimation of the radar Antenna Scan Period (ASP) and recognition of the Antenna Scan Type (AST) is important measure in analysing level of threat from the radar.
This paper presents a shunt single phase Active Power Filter (APF) for harmonic and reactive power compensation. A simple method, using sampling and integration has been proposed for APF reference current generation. This method simplifies the calculation algorithm. A high performance adaptive hysteresis band current controller tracks the reference current. It changes the hysteresis bandwidth according to the modulation frequency, supply voltage, DC bus voltage and slope of reference current. MATLAB / SIMULINK model has been presented. Responses of the simulated model show that harmonic and reactive components of load current are completely eliminated from supply current.
In this paper, a control strategy for power flow management of a grid-connected hybrid photovoltaic (PV)–wind battery-based system with an efficient multi-input transformer coupled bidirectional dc–dc converter is presented. The proposed system aims to satisfy the load demand, manage the power flow from different sources, inject the surplus power into the grid, and charge the battery from the grid as and when required. A transformer-coupled boost half-bridge converter is used to harness power from wind, while a bidirectional buck– boost converter is used to harness power from PV along with battery charging/discharging control. A single-phase full-bridge bidirectional converter is used for feeding ac loads and interaction with the grid. The proposed converter architecture has reduced number of power conversion stages with less component count and reduced losses compared with existing grid-connected hybrid systems. This improves the efficiency and the reliability of the system. Simulation results obtained using MATLAB/Simulink show the performance of the proposed control strategy for power flow management under various modes of operation. The effectiveness of the topology of the proposed control strategy are validated through detailed experimental studies to demonstrate the capability of the system operation in different modes.
Coordinated and adaptive information collecting in target tracking wireless s...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
This paper is studied on the aspects of the intelligent electronic warfare in any action involving the use of EM spectrum to control the spectrum attack of an enemy or impede enemy assaults via the spectrum. The purpose of EW is to deny the opponent the advantage of and ensure friendly unimpeded access to the EM spectrum The principal EW activities have been developed over time to exploit the opportunities and vulnerabilities that are inherent in the physics of EM energy and now it is taking its new dimensions in the era of applying AI techniques and algorithms to make system intelligent .The EW is subdivided into EA, EP and EWS .The study of this paper is mainly focused on EWS measures to counter the electronic attack by the enemy to recognize the threat, targeting, planning and conduct of future operation. Basically these measures are taken out by the designed systems and trained operator to make electronic intercepts (ELINT) and then classify based known Signal Intelligence, to detect the return information to identify the unique characteristics of specific radar by the signals by the human operator can be susceptible to different natural, environmental and conscience of the present human operator. In this context estimation of the radar Antenna Scan Period (ASP) and recognition of the Antenna Scan Type (AST) is important measure in analysing level of threat from the radar.
This paper presents a shunt single phase Active Power Filter (APF) for harmonic and reactive power compensation. A simple method, using sampling and integration has been proposed for APF reference current generation. This method simplifies the calculation algorithm. A high performance adaptive hysteresis band current controller tracks the reference current. It changes the hysteresis bandwidth according to the modulation frequency, supply voltage, DC bus voltage and slope of reference current. MATLAB / SIMULINK model has been presented. Responses of the simulated model show that harmonic and reactive components of load current are completely eliminated from supply current.
Microcontroller Project Titles, 2009 2010 Ncct Final Year Projectsncct
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http://kasanpro.com/projects-list/ieee-2014-java-projects, List of IEEE Java Projects. It Contains the IEEE Projects in the Language Java with ieee publication year 2014
Reconstruction of Objects with VSN M.Priscilla - UG Scholar,
B.Nandhini - UG Scholar,
S.Manju - UG Scholar,
S.Shafiqa Shalaysha – UG Scholar,
Christo Ananth - Assistant Professor,
Department of ECE,
Francis Xavier Engineering College, Tirunelveli, India
Microcontroller Project Titles, 2009 2010 Ncct Final Year Projectsncct
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http://kasanpro.com/projects-list/ieee-2014-java-projects, List of IEEE Java Projects. It Contains the IEEE Projects in the Language Java with ieee publication year 2014
Reconstruction of Objects with VSN M.Priscilla - UG Scholar,
B.Nandhini - UG Scholar,
S.Manju - UG Scholar,
S.Shafiqa Shalaysha – UG Scholar,
Christo Ananth - Assistant Professor,
Department of ECE,
Francis Xavier Engineering College, Tirunelveli, India
Automated-tuned hyper-parameter deep neural network by using arithmetic optim...IJECEIAES
Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyperparameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). AOA makes use of the distribution properties of mathematics’ primary arithmetic operators, including multiplication, division, addition, and subtraction. AOA is mathematically modeled and implemented to optimize processes across a broad range of search spaces. The performance of AOA is evaluated against 29 benchmark functions, and several real-world engineering design problems are to demonstrate AOA’s applicability. The hyper-parameter tuning framework consists of a set of Lorenz chaotic system datasets, hybrid DNN architecture, and AOA that works automatically. As a result, AOA produced the highest accuracy in the test dataset with a combination of optimized hyper-parameters for DNN architecture. The boxplot analysis also produced the ten AOA particles that are the most accurately chosen. Hence, AOA with ten particles had the smallest size of boxplot for all hyper-parameters, which concluded the best solution. In particular, the result for the proposed system is outperformed compared to the architecture tested with particle swarm optimization.
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
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A rough set-based incremental approach for updating approximations under dynamic maintenance environments
1. A ROUGH-SET-BASED INCREMENTAL APPROACH FOR UPDATING
APPROXIMATIONS UNDER DYNAMIC MAINTENANCE ENVIRONMENTS
ABSTRACT:
Approximations of a concept by a variable precision rough-set model (VPRS) usually vary under
a dynamic information system environment. It is thus effective to carry out incremental updating
approximations by utilizing previous data structures.
This paper focuses on a new incremental method for updating approximations of VPRS while
objects in the information system dynamically alter. It discusses properties of information
granulation and approximations under the dynamic environment while objects in the universe
evolve over time.
The variation of an attribute's domain is also considered to perform incremental updating for
approximations under VPRS. Finally, an extensive experimental evaluation validates the
efficiency of the proposed method for dynamic maintenance of VPRS approximations.
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