Meenakumari Ramachandran | Kongu Engineering College (original) (raw)

Papers by Meenakumari Ramachandran

Research paper thumbnail of BEEE LAB QUESTIONS

Research paper thumbnail of Implementation of solar photovoltaic array and battery powered enhanced DC-DC converter using B4-inverter fed brushless DC motor drive system for agricultural water pumping applications

Journal of Vibroengineering, Mar 31, 2018

The proposed research involves, an implementation of solar photovoltaic array and battery powered... more The proposed research involves, an implementation of solar photovoltaic array and battery powered enhanced dc-dc converter using B4-inverter fed brushless dc motor drive system for agricultural water pumping applications. It consists of step up and step-down converter, DC-link module. DC-link switching is achieved by reduced ripple voltage which results in improved quality of obtained output power. The Three Port Converter has been proposed and operated in unidirectional and/or bidirectional way simultaneously, for achieving an inherent dual voltage and power flow control. Switch count makes the system more cost effective. An excellent tracking performance under dynamic condition with negligible oscillations around optimum operating point is achieved. Optimally selecting the initial value of duty ratio and its perturbation size offer soft starting of BLDC motor by slowly increasing the DC-link voltage of VSI. A simulation model of solar photovoltaic array and battery powered enhanced DC-DC converter is developed and its performance is analysed for various operating conditions.

Research paper thumbnail of Sensorless Control of Four-Switch Inverter for Brushless DC Motor Drive and Its Simulation

Circuits and Systems, 2016

The major function of this proposed research is to control the speed of the brushless DC motor wi... more The major function of this proposed research is to control the speed of the brushless DC motor with sensor less control for four-switch three phase inverter. This proposed system is simplified the topological structure of the conventional six-switch three phase inverter. In this proposed method, a new structure of four-switch three phase inverter [1] with reduced number of switches for system is introduced to reduce the mechanical commutation, switching losses that occur in the six-switch method. The proposed inverter fed brushless DC motor used in sensorless control schemes which is used for sensing positioning signals. To improve sensor less control performance, four-switch electronic commutation modes based proportional intergral controller scheme is implemented. In this four-switch three phase inverter reduction of switches, low cost control and saving of hall sensor were incorporated. The feasibility of the proposed sensor less control four-switch three phase inverter fed brushless DC motor drive is implemented, analysed using MATLAB/SIMULINK, effective simulation results have been validated out successfully.

Research paper thumbnail of Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor

Telkomnika: Indonesian Journal of Electrical Engineering, Jun 1, 2015

For the past two decades, Brushless DC motor has become more efficient and robust motor in indust... more For the past two decades, Brushless DC motor has become more efficient and robust motor in industrial applications due to their simplicity in structure, reliability, good mechanical properties. The absence of brushes features these motors similar to AC motors whereas their speed performance is nearly equal to that of the DC motors. Thus the combined advantages of AC and DC motors make these motors more efficient in various applications. The use of these machines in different fields such as aerospace, robotics, electric vehicles, etc., requires wide range of speed control. The Converter selected for the Brushless DC Motor is the PWM Inverter. The design was based on the output equation similar to that of conventional dc machines. This generates high-resolution PWM outputs, used to control the switching pattern of the BLDC Inverter. By varying the PWM signal produced from the microcontroller, the speed of the motor can be varied. The Hall Effect sensing unit gives information about the rotor position and based on this rotor information, switching sequence of the MOSFET is decided. The firing pulses to the gate of the MOSFET are given by the Control Signal Generation Module. Based on the developed model simulation studies are performed in Matlab/Simulink environment and hardware implementation of BLDCM drive using Lead acid battery as source With Lithium ion capacitor system is done and results were analysed using Digital Scope Oscilloscope (DSO) and output were Carried Out Sucessfully.

Research paper thumbnail of Autonomous Multiport Solar Power Plant with Lithium Ion Battery Storage Using a Voltage Source Inverter for Automotive Applications

Advances in Materials Science and Engineering

Electrical power systems are accessible in renewable energy systems, and hybrid battery systems o... more Electrical power systems are accessible in renewable energy systems, and hybrid battery systems or energy storage systems (ESS) are capable of delivering uninterruptible power to the demand even if faults occur. Additionally, the energy storage device increases system dynamics during power fluctuations. A photovoltaic (PV) battery hybrid system with an ESS link is considered, and an impact leveling management system is planned to transfer the ability to load as well as the battery. Electricity generation is vital, and also the method is fairly complicated. The goal of lowering production prices, maintaining instrumentation, and its fuels, all play necessary roles within the method. As a result, producers should import fuel to satisfy the electrical demand, the assembly value rises. We are considering using renewable energy sources to avert a harmful economic imbalance. We tend to introduce a replacement system to complete the load of alternative energy. To boost inertia and improve ...

Research paper thumbnail of An efficient empirical mode decomposition based feature extraction model for human activity recognition of elderly people using machine learning algorithms

Research Square (Research Square), Aug 8, 2022

Many individuals throughout the globe need to be constantly monitored for health reasons, includi... more Many individuals throughout the globe need to be constantly monitored for health reasons, including diabetes patients and individuals with other chronic diseases, the elderly, and the disabled. At any time, these individuals may be at a higher risk of suffering life-threatening falls or experiencing fainting. HAR (Human Activity Recognition) model using machine learning techniques play an important role in observing the activities of the people. The existing methods of activity monitoring lacks accuracy. Hence, the proposed method focuses to improve the prediction accuracy using accelerometer and gyroscope data. The research work analysis accelerometer and gyroscope data using various decomposition techniques such as EMD(Empirical Mode Decomposition), DWT (Discrete Wavelet Transform), FFT (Fast Fourier Transform) to process non-linear data and to split series of signal data into set of IMF(Intrinsic Mode Function), PCA(Principal Component Analysis) was performed for selecting optimal features. Then human activities are recognized by using multi-class classi cation techniques. The proposed EMD method achieves better performance with 98.4% accuracy, 100% Precision, 100% Recall and 100% Fmeasure.

Research paper thumbnail of A novel method of bayesian regularization based solar charging station employing maximum power point tracking for electric vehicle applications

Research Square (Research Square), Jul 29, 2022

Any growing country's business development relies on the availability of electricity. Recent year... more Any growing country's business development relies on the availability of electricity. Recent years have seen an increase in the development and marketing of electric vehicles (EVs) and hybrid electric cars due to environmental concerns and increasing oil costs (HEV). Electric vehicles are becoming more popular, and their accompanying equipment has become a necessary part of the equation. One module where this has been tried is the charging station. As part of the proposed work, ANN-based MPPT is utilized to monitor the solar panel's maximum power. This approach has the bene t of being more precise. ANN uses the Bayesian Regularization technique for maximum power point tracking. The neural network accustomed to manage the DC-DC converter's duty cycle is trained using this approach. Solar PV, energy storage, and the grid are all included in this electric car charging station. In case of an emergency, the PV and storage systems may draw electricity from the grid. The proposed method's e ciency is simulated and tested using the MATLAB/Simulink programme.

Research paper thumbnail of A new short kernel learning methods using cloud computing for quality inspection in information technology organization system

Research Square (Research Square), Sep 27, 2022

The IT organization needs quality assurance for the management of software engineering technology... more The IT organization needs quality assurance for the management of software engineering technology in the region. To apply its quality, IT Company attributes a practical change approach that depends on the quality change of drivers that reduces operating costs of systems. ITIL (Information Technology Infrastructure Library) and six sigma for IT service management essentially provide a wholly de ned structure and ground support. But ITIL highlights the need for service measurement and statements through service management software quality. The proposed system improves the quality of software, using advanced machine learning methods and cloud systems. A new short Kernel learning (NSKL) algorithm is used as a learning method for the classi cation task and select the function that contains the most relevant information about the quality of the software. The integration of machine learning in the cloud is called an intelligent cloud. Cloud computing is primarily used for networking and storage, but also signi cantly adds capabilities to cloud-based machine learning. Based on the test results, this can be effectively detected. It already aims to make changes and improve quality while focusing on control. Results show that IT streamlines the support management and event management process more e ciently and effectively.

Research paper thumbnail of An experimental investigation on performance enhancement of twin wedge solar still with concrete basin for increased fresh water production

Energy Sources, Part A: Recovery, Utilization, And Environmental Effects, Sep 7, 2022

Over the period of years numerous investigations were made to enhance the heat transfer character... more Over the period of years numerous investigations were made to enhance the heat transfer characteristics of MMC (Metal Matrix Composites) by various researchers. In these research eight different groups of Aluminium and silicon carbide (Al & SiC) combinations were used. Each combination group was examined with three level thermal conductivity materials used for this investigation. By using metal matrix composites with different composition of thermal conductive materials were experimentally investigated for the enhancement of performance of heat transfer characteristics of electronic chip cooling through thermal conduct resistance.

Research paper thumbnail of Economic Analysis of Solar PV/Wind/Diesel Generator/Battery Connected Integrated Renewable Energy Systems for Residential Applications

Springer proceedings in energy, 2016

Nowadays, energy becomes the basic need of each and every human being. Most of the energy demands... more Nowadays, energy becomes the basic need of each and every human being. Most of the energy demands are met by the conventional energy sources like coal, oil, natural gas, etc., which are going to exhaust in a day and cause severe energy demand in the future. Renewable energy sources become the alternative for meeting the energy demand, among which solar and wind energy resources are most commonly used. Because of the intermittent nature of solar and wind energy sources, hybrid/integrated renewable energy systems are evolved in the recent years. This paper discusses about the economic analysis and the optimal selection of solar PV, wind, diesel generator, and battery connected hybrid energy systems for residential applications. For the analysis purpose, a small middle class family in Perundurai, Erode District, Tamil Nadu has been considered for the study. Also, a suitable hybrid optimized model has been developed and the results have been discussed based on their net present cost (NPC) and cost of energy (COE), green house gas (GHG) emissions, etc.

Research paper thumbnail of A novel security algorithm RPBB31 for securing the social media analyzed data using machine learning algorithms

Research Square (Research Square), Jul 26, 2022

The present world data is most important in public because without data cannot live in the world.... more The present world data is most important in public because without data cannot live in the world. This data is big data and that data daily increases through Social Media like "Twitter, Facebook, Youtube, WhatsApp, Instagram, LinkedIn", etc.., because this media only share public opinion very fast through the net. From this media, more people used especially Twitter. Thus media are used to analyze the public opinion of the tweets and predict the future through Machine Learning Algorithm. This analyzed data should make it polarity score. This score data has very little security because, this score can change the score and affected the future, so apply the existing security algorithms is Salsa and ChaCha. The Salsa algorithm is diagonal values moved to the first row. The ChaCha algorithm is diagonal values moved to the first column. The existing algorithms do not have good security because they focused only on performance, not security. So, the novel security algorithm is RPBB31. This algorithm has seven stages. The 1 st stage is to find the secret key N, n, and p values from the matrix. The 2 nd stage is to apply the secret key in equation (1). The 3 rd stage operation of PN(n) up to n=1. The 4 th stage is all PN(n) operations make their single line. The 5 th stage is to pair the values and swap the values in the matrix. The 6 th stage is column operations in the matrix. The 7 th stage is again Step 4 values used to swap but "0 th " cell value start from reverse in the matrix. The proposed algorithm has provide good security and performance while compare to existing algorithms.

Research paper thumbnail of A new short kernel learning methods using cloud computing for quality inspection in information technology organization system

The IT organization needs quality assurance for the management of software engineering technology... more The IT organization needs quality assurance for the management of software engineering technology in the region. To apply its quality, IT Company attributes a practical change approach that depends on the quality change of drivers that reduces operating costs of systems. ITIL (Information Technology Infrastructure Library) and six sigma for IT service management essentially provide a wholly defined structure and ground support. But ITIL highlights the need for service measurement and statements through service management software quality. The proposed system improves the quality of software, using advanced machine learning methods and cloud systems. A new short Kernel learning (NSKL) algorithm is used as a learning method for the classification task and select the function that contains the most relevant information about the quality of the software. The integration of machine learning in the cloud is called an intelligent cloud. Cloud computing is primarily used for networking and ...

Research paper thumbnail of An optimal selection of slot/pole combination and its influence on energy efficient PMSM for submersible water pumping applications

International Journal of Ambient Energy

Research paper thumbnail of A novel method for analyzing the performance of free space optical communication in WDM using EDFA

Research Square (Research Square), Aug 1, 2022

This paper intends to design anarti cial model of WDM Optical Network in respect of length, pump ... more This paper intends to design anarti cial model of WDM Optical Network in respect of length, pump power and simple free space optical link which is designed and analysis of several FSO (Free-space optical communication) factors such as Bit Error Rate (BER), Q factor and received power have been measured with regard to the variants in the beam divergence and attenuation. The Simulation process of the System has been done using Optic simulation software to achieve gain enhancement and decrease noise factor of Erbium Doped Fiber Ampli er (EDFA) through optimized ber length and pump power. This workfocused to construct arti cial design and analyses of 16 channels WDM system using EDFA and the in uence of irregular atmospheric Motions on the link performance has been inspected by uctuating beam divergence, atmospheric disturbances and modulation format at the bit rate of 10 Gb/s. As slicing in WDM schemes, in the transmitter channel with the frequency of 1558nm and chip spacing 0.4nm, power value is equal to + 23.5dBm, whereas the optical power meter plus can be used to predict the output power in the form of NRZ modulation, while the input power is produced with a help of CW laser, the gain level has been enriched from 1564nm to 1558nm wavelength band with bit rate of 10GbpS.This system is prepared by using Optic simulation software version 7.

Research paper thumbnail of A novel security algorithm RPBB31 for securing the social media analyzed data using machine learning algorithms

The present world data is most important in public because without data cannot live in the world.... more The present world data is most important in public because without data cannot live in the world. This data is big data and that data daily increases through Social Media like "Twitter, Facebook, Youtube, WhatsApp, Instagram, LinkedIn", etc.., because this media only share public opinion very fast through the net. From this media, more people used especially Twitter. Thus media are used to analyze the public opinion of the tweets and predict the future through Machine Learning Algorithm. This analyzed data should make it polarity score. This score data has very little security because, this score can change the score and affected the future, so apply the existing security algorithms is Salsa and ChaCha. The Salsa algorithm is diagonal values moved to the first row. The ChaCha algorithm is diagonal values moved to the first column. The existing algorithms do not have good security because they focused only on performance, not security. So, the novel security algorithm is RP...

Research paper thumbnail of An efficient empirical mode decomposition based feature extraction model for human activity recognition of elderly people using machine learning algorithms

Research Square (Research Square), Aug 8, 2022

Many individuals throughout the globe need to be constantly monitored for health reasons, includi... more Many individuals throughout the globe need to be constantly monitored for health reasons, including diabetes patients and individuals with other chronic diseases, the elderly, and the disabled. At any time, these individuals may be at a higher risk of suffering life-threatening falls or experiencing fainting. HAR (Human Activity Recognition) model using machine learning techniques play an important role in observing the activities of the people. The existing methods of activity monitoring lacks accuracy. Hence, the proposed method focuses to improve the prediction accuracy using accelerometer and gyroscope data. The research work analysis accelerometer and gyroscope data using various decomposition techniques such as EMD(Empirical Mode Decomposition), DWT (Discrete Wavelet Transform), FFT (Fast Fourier Transform) to process non-linear data and to split series of signal data into set of IMF(Intrinsic Mode Function), PCA(Principal Component Analysis) was performed for selecting optimal features. Then human activities are recognized by using multi-class classi cation techniques. The proposed EMD method achieves better performance with 98.4% accuracy, 100% Precision, 100% Recall and 100% Fmeasure.

Research paper thumbnail of Experimental Investigation on the Performance Enhancement of Integrated PCM-Flat Plate Solar Collector

Journal of Applied Sciences, 2012

Research paper thumbnail of A novel method of bayesian regularization based solar charging station employing maximum power point tracking for electric vehicle applications

Any growing country's business development relies on the availability of electricity. Recent ... more Any growing country's business development relies on the availability of electricity. Recent years have seen an increase in the development and marketing of electric vehicles (EVs) and hybrid electric cars due to environmental concerns and increasing oil costs (HEV). Electric vehicles are becoming more popular, and their accompanying equipment has become a necessary part of the equation. One module where this has been tried is the charging station. As part of the proposed work, ANN-based MPPT is utilized to monitor the solar panel's maximum power. This approach has the benefit of being more precise. ANN uses the Bayesian Regularization technique for maximum power point tracking. The neural network accustomed to manage the DC-DC converter's duty cycle is trained using this approach. Solar PV, energy storage, and the grid are all included in this electric car charging station. In case of an emergency, the PV and storage systems may draw electricity from the grid. The propo...

Research paper thumbnail of Performance investigation of 140 kW grid connected solar PV system installed in southern region of India – A detailed case study and analysis

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Research paper thumbnail of Design and Implementation of Low Cost Four Switch Inverter for Brushless Motor Drive with Active Power Factor Correction

This Research paper proposes a low cost four switch three phase inverter (FSTPI) fed brushless DC... more This Research paper proposes a low cost four switch three phase inverter (FSTPI) fed brushless DC (BLDC) motor drive for Active power factor correction for residential applications without environmental issues. This proposed system is simplified the topological structure of the conventional six switch three phase inverter (SSTPI) and includes an active power factor correction in front end rectifier which results in sinusoidal input current and it closed to unity power factor. In this project a new structure of four switch three phase inverter with reduced number of switches for system is introduced. This system consists of single phase rectifier and four switch three phase inverter. This proposed inverter fed BLDC motor used in Sensorless control schemes. To improve sensorless control performance, six commutation modes based on direct current controlled PWM scheme is implemented to produced the desire Torque-Speed characteristics. This four switch three phase inverter is achieved by...

Research paper thumbnail of BEEE LAB QUESTIONS

Research paper thumbnail of Implementation of solar photovoltaic array and battery powered enhanced DC-DC converter using B4-inverter fed brushless DC motor drive system for agricultural water pumping applications

Journal of Vibroengineering, Mar 31, 2018

The proposed research involves, an implementation of solar photovoltaic array and battery powered... more The proposed research involves, an implementation of solar photovoltaic array and battery powered enhanced dc-dc converter using B4-inverter fed brushless dc motor drive system for agricultural water pumping applications. It consists of step up and step-down converter, DC-link module. DC-link switching is achieved by reduced ripple voltage which results in improved quality of obtained output power. The Three Port Converter has been proposed and operated in unidirectional and/or bidirectional way simultaneously, for achieving an inherent dual voltage and power flow control. Switch count makes the system more cost effective. An excellent tracking performance under dynamic condition with negligible oscillations around optimum operating point is achieved. Optimally selecting the initial value of duty ratio and its perturbation size offer soft starting of BLDC motor by slowly increasing the DC-link voltage of VSI. A simulation model of solar photovoltaic array and battery powered enhanced DC-DC converter is developed and its performance is analysed for various operating conditions.

Research paper thumbnail of Sensorless Control of Four-Switch Inverter for Brushless DC Motor Drive and Its Simulation

Circuits and Systems, 2016

The major function of this proposed research is to control the speed of the brushless DC motor wi... more The major function of this proposed research is to control the speed of the brushless DC motor with sensor less control for four-switch three phase inverter. This proposed system is simplified the topological structure of the conventional six-switch three phase inverter. In this proposed method, a new structure of four-switch three phase inverter [1] with reduced number of switches for system is introduced to reduce the mechanical commutation, switching losses that occur in the six-switch method. The proposed inverter fed brushless DC motor used in sensorless control schemes which is used for sensing positioning signals. To improve sensor less control performance, four-switch electronic commutation modes based proportional intergral controller scheme is implemented. In this four-switch three phase inverter reduction of switches, low cost control and saving of hall sensor were incorporated. The feasibility of the proposed sensor less control four-switch three phase inverter fed brushless DC motor drive is implemented, analysed using MATLAB/SIMULINK, effective simulation results have been validated out successfully.

Research paper thumbnail of Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor

Telkomnika: Indonesian Journal of Electrical Engineering, Jun 1, 2015

For the past two decades, Brushless DC motor has become more efficient and robust motor in indust... more For the past two decades, Brushless DC motor has become more efficient and robust motor in industrial applications due to their simplicity in structure, reliability, good mechanical properties. The absence of brushes features these motors similar to AC motors whereas their speed performance is nearly equal to that of the DC motors. Thus the combined advantages of AC and DC motors make these motors more efficient in various applications. The use of these machines in different fields such as aerospace, robotics, electric vehicles, etc., requires wide range of speed control. The Converter selected for the Brushless DC Motor is the PWM Inverter. The design was based on the output equation similar to that of conventional dc machines. This generates high-resolution PWM outputs, used to control the switching pattern of the BLDC Inverter. By varying the PWM signal produced from the microcontroller, the speed of the motor can be varied. The Hall Effect sensing unit gives information about the rotor position and based on this rotor information, switching sequence of the MOSFET is decided. The firing pulses to the gate of the MOSFET are given by the Control Signal Generation Module. Based on the developed model simulation studies are performed in Matlab/Simulink environment and hardware implementation of BLDCM drive using Lead acid battery as source With Lithium ion capacitor system is done and results were analysed using Digital Scope Oscilloscope (DSO) and output were Carried Out Sucessfully.

Research paper thumbnail of Autonomous Multiport Solar Power Plant with Lithium Ion Battery Storage Using a Voltage Source Inverter for Automotive Applications

Advances in Materials Science and Engineering

Electrical power systems are accessible in renewable energy systems, and hybrid battery systems o... more Electrical power systems are accessible in renewable energy systems, and hybrid battery systems or energy storage systems (ESS) are capable of delivering uninterruptible power to the demand even if faults occur. Additionally, the energy storage device increases system dynamics during power fluctuations. A photovoltaic (PV) battery hybrid system with an ESS link is considered, and an impact leveling management system is planned to transfer the ability to load as well as the battery. Electricity generation is vital, and also the method is fairly complicated. The goal of lowering production prices, maintaining instrumentation, and its fuels, all play necessary roles within the method. As a result, producers should import fuel to satisfy the electrical demand, the assembly value rises. We are considering using renewable energy sources to avert a harmful economic imbalance. We tend to introduce a replacement system to complete the load of alternative energy. To boost inertia and improve ...

Research paper thumbnail of An efficient empirical mode decomposition based feature extraction model for human activity recognition of elderly people using machine learning algorithms

Research Square (Research Square), Aug 8, 2022

Many individuals throughout the globe need to be constantly monitored for health reasons, includi... more Many individuals throughout the globe need to be constantly monitored for health reasons, including diabetes patients and individuals with other chronic diseases, the elderly, and the disabled. At any time, these individuals may be at a higher risk of suffering life-threatening falls or experiencing fainting. HAR (Human Activity Recognition) model using machine learning techniques play an important role in observing the activities of the people. The existing methods of activity monitoring lacks accuracy. Hence, the proposed method focuses to improve the prediction accuracy using accelerometer and gyroscope data. The research work analysis accelerometer and gyroscope data using various decomposition techniques such as EMD(Empirical Mode Decomposition), DWT (Discrete Wavelet Transform), FFT (Fast Fourier Transform) to process non-linear data and to split series of signal data into set of IMF(Intrinsic Mode Function), PCA(Principal Component Analysis) was performed for selecting optimal features. Then human activities are recognized by using multi-class classi cation techniques. The proposed EMD method achieves better performance with 98.4% accuracy, 100% Precision, 100% Recall and 100% Fmeasure.

Research paper thumbnail of A novel method of bayesian regularization based solar charging station employing maximum power point tracking for electric vehicle applications

Research Square (Research Square), Jul 29, 2022

Any growing country's business development relies on the availability of electricity. Recent year... more Any growing country's business development relies on the availability of electricity. Recent years have seen an increase in the development and marketing of electric vehicles (EVs) and hybrid electric cars due to environmental concerns and increasing oil costs (HEV). Electric vehicles are becoming more popular, and their accompanying equipment has become a necessary part of the equation. One module where this has been tried is the charging station. As part of the proposed work, ANN-based MPPT is utilized to monitor the solar panel's maximum power. This approach has the bene t of being more precise. ANN uses the Bayesian Regularization technique for maximum power point tracking. The neural network accustomed to manage the DC-DC converter's duty cycle is trained using this approach. Solar PV, energy storage, and the grid are all included in this electric car charging station. In case of an emergency, the PV and storage systems may draw electricity from the grid. The proposed method's e ciency is simulated and tested using the MATLAB/Simulink programme.

Research paper thumbnail of A new short kernel learning methods using cloud computing for quality inspection in information technology organization system

Research Square (Research Square), Sep 27, 2022

The IT organization needs quality assurance for the management of software engineering technology... more The IT organization needs quality assurance for the management of software engineering technology in the region. To apply its quality, IT Company attributes a practical change approach that depends on the quality change of drivers that reduces operating costs of systems. ITIL (Information Technology Infrastructure Library) and six sigma for IT service management essentially provide a wholly de ned structure and ground support. But ITIL highlights the need for service measurement and statements through service management software quality. The proposed system improves the quality of software, using advanced machine learning methods and cloud systems. A new short Kernel learning (NSKL) algorithm is used as a learning method for the classi cation task and select the function that contains the most relevant information about the quality of the software. The integration of machine learning in the cloud is called an intelligent cloud. Cloud computing is primarily used for networking and storage, but also signi cantly adds capabilities to cloud-based machine learning. Based on the test results, this can be effectively detected. It already aims to make changes and improve quality while focusing on control. Results show that IT streamlines the support management and event management process more e ciently and effectively.

Research paper thumbnail of An experimental investigation on performance enhancement of twin wedge solar still with concrete basin for increased fresh water production

Energy Sources, Part A: Recovery, Utilization, And Environmental Effects, Sep 7, 2022

Over the period of years numerous investigations were made to enhance the heat transfer character... more Over the period of years numerous investigations were made to enhance the heat transfer characteristics of MMC (Metal Matrix Composites) by various researchers. In these research eight different groups of Aluminium and silicon carbide (Al & SiC) combinations were used. Each combination group was examined with three level thermal conductivity materials used for this investigation. By using metal matrix composites with different composition of thermal conductive materials were experimentally investigated for the enhancement of performance of heat transfer characteristics of electronic chip cooling through thermal conduct resistance.

Research paper thumbnail of Economic Analysis of Solar PV/Wind/Diesel Generator/Battery Connected Integrated Renewable Energy Systems for Residential Applications

Springer proceedings in energy, 2016

Nowadays, energy becomes the basic need of each and every human being. Most of the energy demands... more Nowadays, energy becomes the basic need of each and every human being. Most of the energy demands are met by the conventional energy sources like coal, oil, natural gas, etc., which are going to exhaust in a day and cause severe energy demand in the future. Renewable energy sources become the alternative for meeting the energy demand, among which solar and wind energy resources are most commonly used. Because of the intermittent nature of solar and wind energy sources, hybrid/integrated renewable energy systems are evolved in the recent years. This paper discusses about the economic analysis and the optimal selection of solar PV, wind, diesel generator, and battery connected hybrid energy systems for residential applications. For the analysis purpose, a small middle class family in Perundurai, Erode District, Tamil Nadu has been considered for the study. Also, a suitable hybrid optimized model has been developed and the results have been discussed based on their net present cost (NPC) and cost of energy (COE), green house gas (GHG) emissions, etc.

Research paper thumbnail of A novel security algorithm RPBB31 for securing the social media analyzed data using machine learning algorithms

Research Square (Research Square), Jul 26, 2022

The present world data is most important in public because without data cannot live in the world.... more The present world data is most important in public because without data cannot live in the world. This data is big data and that data daily increases through Social Media like "Twitter, Facebook, Youtube, WhatsApp, Instagram, LinkedIn", etc.., because this media only share public opinion very fast through the net. From this media, more people used especially Twitter. Thus media are used to analyze the public opinion of the tweets and predict the future through Machine Learning Algorithm. This analyzed data should make it polarity score. This score data has very little security because, this score can change the score and affected the future, so apply the existing security algorithms is Salsa and ChaCha. The Salsa algorithm is diagonal values moved to the first row. The ChaCha algorithm is diagonal values moved to the first column. The existing algorithms do not have good security because they focused only on performance, not security. So, the novel security algorithm is RPBB31. This algorithm has seven stages. The 1 st stage is to find the secret key N, n, and p values from the matrix. The 2 nd stage is to apply the secret key in equation (1). The 3 rd stage operation of PN(n) up to n=1. The 4 th stage is all PN(n) operations make their single line. The 5 th stage is to pair the values and swap the values in the matrix. The 6 th stage is column operations in the matrix. The 7 th stage is again Step 4 values used to swap but "0 th " cell value start from reverse in the matrix. The proposed algorithm has provide good security and performance while compare to existing algorithms.

Research paper thumbnail of A new short kernel learning methods using cloud computing for quality inspection in information technology organization system

The IT organization needs quality assurance for the management of software engineering technology... more The IT organization needs quality assurance for the management of software engineering technology in the region. To apply its quality, IT Company attributes a practical change approach that depends on the quality change of drivers that reduces operating costs of systems. ITIL (Information Technology Infrastructure Library) and six sigma for IT service management essentially provide a wholly defined structure and ground support. But ITIL highlights the need for service measurement and statements through service management software quality. The proposed system improves the quality of software, using advanced machine learning methods and cloud systems. A new short Kernel learning (NSKL) algorithm is used as a learning method for the classification task and select the function that contains the most relevant information about the quality of the software. The integration of machine learning in the cloud is called an intelligent cloud. Cloud computing is primarily used for networking and ...

Research paper thumbnail of An optimal selection of slot/pole combination and its influence on energy efficient PMSM for submersible water pumping applications

International Journal of Ambient Energy

Research paper thumbnail of A novel method for analyzing the performance of free space optical communication in WDM using EDFA

Research Square (Research Square), Aug 1, 2022

This paper intends to design anarti cial model of WDM Optical Network in respect of length, pump ... more This paper intends to design anarti cial model of WDM Optical Network in respect of length, pump power and simple free space optical link which is designed and analysis of several FSO (Free-space optical communication) factors such as Bit Error Rate (BER), Q factor and received power have been measured with regard to the variants in the beam divergence and attenuation. The Simulation process of the System has been done using Optic simulation software to achieve gain enhancement and decrease noise factor of Erbium Doped Fiber Ampli er (EDFA) through optimized ber length and pump power. This workfocused to construct arti cial design and analyses of 16 channels WDM system using EDFA and the in uence of irregular atmospheric Motions on the link performance has been inspected by uctuating beam divergence, atmospheric disturbances and modulation format at the bit rate of 10 Gb/s. As slicing in WDM schemes, in the transmitter channel with the frequency of 1558nm and chip spacing 0.4nm, power value is equal to + 23.5dBm, whereas the optical power meter plus can be used to predict the output power in the form of NRZ modulation, while the input power is produced with a help of CW laser, the gain level has been enriched from 1564nm to 1558nm wavelength band with bit rate of 10GbpS.This system is prepared by using Optic simulation software version 7.

Research paper thumbnail of A novel security algorithm RPBB31 for securing the social media analyzed data using machine learning algorithms

The present world data is most important in public because without data cannot live in the world.... more The present world data is most important in public because without data cannot live in the world. This data is big data and that data daily increases through Social Media like "Twitter, Facebook, Youtube, WhatsApp, Instagram, LinkedIn", etc.., because this media only share public opinion very fast through the net. From this media, more people used especially Twitter. Thus media are used to analyze the public opinion of the tweets and predict the future through Machine Learning Algorithm. This analyzed data should make it polarity score. This score data has very little security because, this score can change the score and affected the future, so apply the existing security algorithms is Salsa and ChaCha. The Salsa algorithm is diagonal values moved to the first row. The ChaCha algorithm is diagonal values moved to the first column. The existing algorithms do not have good security because they focused only on performance, not security. So, the novel security algorithm is RP...

Research paper thumbnail of An efficient empirical mode decomposition based feature extraction model for human activity recognition of elderly people using machine learning algorithms

Research Square (Research Square), Aug 8, 2022

Many individuals throughout the globe need to be constantly monitored for health reasons, includi... more Many individuals throughout the globe need to be constantly monitored for health reasons, including diabetes patients and individuals with other chronic diseases, the elderly, and the disabled. At any time, these individuals may be at a higher risk of suffering life-threatening falls or experiencing fainting. HAR (Human Activity Recognition) model using machine learning techniques play an important role in observing the activities of the people. The existing methods of activity monitoring lacks accuracy. Hence, the proposed method focuses to improve the prediction accuracy using accelerometer and gyroscope data. The research work analysis accelerometer and gyroscope data using various decomposition techniques such as EMD(Empirical Mode Decomposition), DWT (Discrete Wavelet Transform), FFT (Fast Fourier Transform) to process non-linear data and to split series of signal data into set of IMF(Intrinsic Mode Function), PCA(Principal Component Analysis) was performed for selecting optimal features. Then human activities are recognized by using multi-class classi cation techniques. The proposed EMD method achieves better performance with 98.4% accuracy, 100% Precision, 100% Recall and 100% Fmeasure.

Research paper thumbnail of Experimental Investigation on the Performance Enhancement of Integrated PCM-Flat Plate Solar Collector

Journal of Applied Sciences, 2012

Research paper thumbnail of A novel method of bayesian regularization based solar charging station employing maximum power point tracking for electric vehicle applications

Any growing country's business development relies on the availability of electricity. Recent ... more Any growing country's business development relies on the availability of electricity. Recent years have seen an increase in the development and marketing of electric vehicles (EVs) and hybrid electric cars due to environmental concerns and increasing oil costs (HEV). Electric vehicles are becoming more popular, and their accompanying equipment has become a necessary part of the equation. One module where this has been tried is the charging station. As part of the proposed work, ANN-based MPPT is utilized to monitor the solar panel's maximum power. This approach has the benefit of being more precise. ANN uses the Bayesian Regularization technique for maximum power point tracking. The neural network accustomed to manage the DC-DC converter's duty cycle is trained using this approach. Solar PV, energy storage, and the grid are all included in this electric car charging station. In case of an emergency, the PV and storage systems may draw electricity from the grid. The propo...

Research paper thumbnail of Performance investigation of 140 kW grid connected solar PV system installed in southern region of India – A detailed case study and analysis

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Research paper thumbnail of Design and Implementation of Low Cost Four Switch Inverter for Brushless Motor Drive with Active Power Factor Correction

This Research paper proposes a low cost four switch three phase inverter (FSTPI) fed brushless DC... more This Research paper proposes a low cost four switch three phase inverter (FSTPI) fed brushless DC (BLDC) motor drive for Active power factor correction for residential applications without environmental issues. This proposed system is simplified the topological structure of the conventional six switch three phase inverter (SSTPI) and includes an active power factor correction in front end rectifier which results in sinusoidal input current and it closed to unity power factor. In this project a new structure of four switch three phase inverter with reduced number of switches for system is introduced. This system consists of single phase rectifier and four switch three phase inverter. This proposed inverter fed BLDC motor used in Sensorless control schemes. To improve sensorless control performance, six commutation modes based on direct current controlled PWM scheme is implemented to produced the desire Torque-Speed characteristics. This four switch three phase inverter is achieved by...