Mohankumar V. | Dr Ambedkar Institute Of Technology (original) (raw)

Papers by Mohankumar V.

Indian Journal of Higher Education, 2021

The higher education with diverse specializations or disciplines are necessary for the nation to ... more The higher education with diverse specializations or disciplines are necessary for the nation to compete in the current competitive world. Present higher education strategy need to be changed and needs improvement to meet the said objective. The proposed article discusses the improvement strategies to be adopted in order to train the youth to build the nation to stand ahead and compete with others.
The proposed article discusses the design of curriculum to meet the societal and industry needs, Innovative teaching and learning methods to provide student centric education and academic auditing for improvise the curriculum and teaching-learning process. Proposed article also discusses the strategies to increase the research and development activities, trainings, interactions with outside world etc, for the growth of the higher educational institute. Leadership qualities have also discussed, which plays quantitative and qualitative role for incorporating the changes and decision making for the improvement of standards in higher education.

IJACSA, 2021

Energy harvesting is a powerful technique to produce clean and renewable energy with better infra... more Energy harvesting is a powerful technique to produce clean and renewable energy with better infrastructure improvement. The exhaustive review of recent progress and development in bio-mechanical energy harvesting (BMEH) techniques from human body is discussed in this manuscript. The BMEH from the human body is categorized into three parts, namely, piezoelectric energy harvesting (PEEH), triboelectric energy harvesting (TEEH), and Electromagnetic Energy harvesting (EMEH). Each energy harvesting system is discussed with working principles with mathematical equations; each energy harvesting progress is discussed with a few work demonstrations. The applications of each energy harvesting from the recent research work are addressed in detail. The summary of each energy harvester from the human body or motion with advantages, limitations, performance metrics, current methods, and implemented human body parts are highlighted with Tabulation. The critical challenges/issues with possible solutions are also discussed.

IJLTEMAS, 2018

Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambi... more Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambient sources like, temperature, light, sound, human body movement etc into the electrical energy, that can be used for low power applications as well as high power applications. Proposed model was implemented to address the challenges [1] for charging the batteries such as short lifetime, more power consumption and bulky. The extraction of energy from of electromagnetic radiation emitted from the wi-fi have been developed to improve the lifetime, to reduce the size and generating the energy of approximately 15V and can be used to charge the batteries. The proposed model uses antenna to receive the electromagnetic waves and fed to the diode-voltage doubler circuit followed by a rectifier, which generates an energy of DC 5V. 5V DC signal is applied to the boost converter to increase the voltage upto 20V, and boost converter switching action is automated using bistable multivibrator. Recharging circuit is a simple, Diode Bridge circuit.

International Journal of Innovative Technology and Exploring Engineering (IJITEE, 2020

 Abstract: The portability of power for human health monitoring is considered a challenge for ye... more  Abstract: The portability of power for human health monitoring is considered a challenge for years to come and the recent development in wearable devices has encouraged this research area. This paper develops a composite energy harvesting paradigm that combines piezoelectricity and electromechanical energy production to energize the storage batteries powering wearable devices. A composite mathematical model that combines the piezoelectric process along with the electromechanical process comprising the piston action is developed using Matlab TM. The piezoelectric power is considered to be generated from the pressure created by human weight on it while walking and electromechanical power generated from the limb movement of the human being. The energy thus harvested from both these inputs are consolidated and fed to charge the batteries that feed the wearable sensors. The Lithium-Ion battery of 1.2V rated voltage is charged using the power generated from the mathematical models of both the piezoelectric and electromechanical power generation. The energy generated is found to be satisfactorily charging the battery.

Software Defined Radio (SDR) is the ubiquitous technology employed in Electronic Communication Sy... more Software Defined Radio (SDR) is the ubiquitous technology employed in Electronic Communication Systems. Widespread availability of multi-processor SoC technologies lead the way to replace the analog hardware blocks with software driven flexible heterogeneous computing blocks. One of the potential requirement of Software defined Radio/Receiver is assessment of spectrum occupancy over the specified frequency spectrum. The SDR has fast analog-to-digital converter (ADC) that digitizes the band limited RF or IF signals followed by Digital Down Converter (DDC) that optimizes the bandwidth (BW) and output data rate. In many applications, the signal of interest represents a small proportion of the input BW. Spectrum occupancy is estimated by converting time domain signals at the output of DDC to frequency domain and applying detection threshold on the spectrum. This is achieved through Fast Fourier Transform (FFT) technique. Active signals within the pass band are detected based on the estimated Noise riding threshold of the spectral data. In this paper, DDC and FFT blocks are designed for implementation on FPGA. Vivado 2018.1 version tool is used in the design and development of the firmware. Broad specifications are RF = 100 to 1000 MHz, Second IF = 75 MHz, instantaneous BW = 40 MHz, ADC sampling rate, f s = 100 MHz.

International Journal of Latest Technology in Engineering, Management & Applied Science, 2018

Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambi... more Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambient sources like, temperature, light, sound, human body movement etc into the electrical energy, that can be used for low power applications as well as high power applications. Proposed model was implemented to address the challenges [1] for charging the batteries such as short lifetime, more power consumption and bulky. The extraction of energy from of electromagnetic radiation emitted from the wi-fi have been developed to improve the lifetime, to reduce the size and generating the energy of approximately 15V and can be used to charge the batteries. The proposed model uses antenna to receive the electromagnetic waves and fed to the diode-voltage doubler circuit followed by a rectifier, which generates an energy of DC 5V. 5V DC signal is applied to the boost converter to increase the voltage upto 20V, and boost converter switching action is automated using bistable multivibrator. Recharging circuit is a simple, Diode Bridge circuit.

The growth in areas of Virtual Reality have seen tremendous improvements in the previous couple o... more The growth in areas of Virtual Reality have seen tremendous improvements in the previous couple of decades. The prime idea behind all of the VR applications is mainly to streamline the experience of using new technological devices by providing a virtual environment to the user, giving them a sense of literally manipulating the device's data through human actions. This project undertaken aims at making use of this concept to provide with an easier working platform for the disabled in operating a computer. For a person who has lost his fingers, palm or forearm, or is born with such a condition, it is physically impossible to operate a conventional mouse. As a solution to this problem, we have developed a compact system that would essentially perform the operations of a mouse without using one. The purpose of this system is to provide mouse inputs to the system by human actions. It makes use of an IR sensor to detect eye blinks which acts as an input for the double click operation, and a tri-axis MEMS accelerometer to detect hand movements that makes cursor to move on the required computer screen. With the design of a comfortable end product, this technology can overcome the said problem.

First International Conference on Information and Communication Engineering, 2013

A high Complexity IC that integrates the major functional elements of a complete end-product into... more A high Complexity IC that integrates the major functional elements of a complete end-product into a single chipset to perform a specific functions for end users is system-on-chip (SOC). With technology scaling day by day, as the number of processors, memory, cores on a chip is increasing the computation and thus the communication complexity of the design also increases, hence there is a need for scalable approaches in the system for efficient communication. Network-on-Chips (NOCs) have emerged as the model for designing scalable communication architecture for Systems-on-Chips (SOCs). In this paper, we demonstrate a full-chip synthesis methodology to construct custom network-on-chips (Custom NOC) for NOC-based systems. Here we consider irregular network topologies for application specific designs with known communication load. Here the most important phases in designing the NOC based system are the synthesis of the topology (such as torus or mesh), the topology of NOC is determined by the router so designed. In this design, processing elements and communication architecture can be synthesized simultaneously thus it is called Custom NOC. There are two steps in synthesis of Custom NOC, first generate a objective network topology based on communication analysis. Then Processing elements (PE) are partitioned into groups such that the utility of routers will be maximized if a router is assigned to each group. By doing so, the number of routers passed by a packet, or hops, is minimized, and so is the delay and power consumption in the network.

International Journal of Informative and Futuristic Research, 2017

This paper describes a design and validation of neural network based Kannada character recognitio... more This paper describes a design and validation of neural network based Kannada character recognition system. The proposed character recognition system is robust against size, font, thickness and tilting of the characters. The proposed system recognizes printed characters in Kannada, a south Indian language. The input to the system is scanned image of base character and the output is labeling of the character. The system extracts the geometrical features and recognizes the characters using neural network back propagation algorithm. The results demonstrated are independent of the font, size and tilting of the characters and system is seen to deliver reasonable performance.

Indian Journal of Higher Education, 2021

The higher education with diverse specializations or disciplines are necessary for the nation to ... more The higher education with diverse specializations or disciplines are necessary for the nation to compete in the current competitive world. Present higher education strategy need to be changed and needs improvement to meet the said objective. The proposed article discusses the improvement strategies to be adopted in order to train the youth to build the nation to stand ahead and compete with others.
The proposed article discusses the design of curriculum to meet the societal and industry needs, Innovative teaching and learning methods to provide student centric education and academic auditing for improvise the curriculum and teaching-learning process. Proposed article also discusses the strategies to increase the research and development activities, trainings, interactions with outside world etc, for the growth of the higher educational institute. Leadership qualities have also discussed, which plays quantitative and qualitative role for incorporating the changes and decision making for the improvement of standards in higher education.

IJACSA, 2021

Energy harvesting is a powerful technique to produce clean and renewable energy with better infra... more Energy harvesting is a powerful technique to produce clean and renewable energy with better infrastructure improvement. The exhaustive review of recent progress and development in bio-mechanical energy harvesting (BMEH) techniques from human body is discussed in this manuscript. The BMEH from the human body is categorized into three parts, namely, piezoelectric energy harvesting (PEEH), triboelectric energy harvesting (TEEH), and Electromagnetic Energy harvesting (EMEH). Each energy harvesting system is discussed with working principles with mathematical equations; each energy harvesting progress is discussed with a few work demonstrations. The applications of each energy harvesting from the recent research work are addressed in detail. The summary of each energy harvester from the human body or motion with advantages, limitations, performance metrics, current methods, and implemented human body parts are highlighted with Tabulation. The critical challenges/issues with possible solutions are also discussed.

IJLTEMAS, 2018

Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambi... more Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambient sources like, temperature, light, sound, human body movement etc into the electrical energy, that can be used for low power applications as well as high power applications. Proposed model was implemented to address the challenges [1] for charging the batteries such as short lifetime, more power consumption and bulky. The extraction of energy from of electromagnetic radiation emitted from the wi-fi have been developed to improve the lifetime, to reduce the size and generating the energy of approximately 15V and can be used to charge the batteries. The proposed model uses antenna to receive the electromagnetic waves and fed to the diode-voltage doubler circuit followed by a rectifier, which generates an energy of DC 5V. 5V DC signal is applied to the boost converter to increase the voltage upto 20V, and boost converter switching action is automated using bistable multivibrator. Recharging circuit is a simple, Diode Bridge circuit.

International Journal of Innovative Technology and Exploring Engineering (IJITEE, 2020

 Abstract: The portability of power for human health monitoring is considered a challenge for ye... more  Abstract: The portability of power for human health monitoring is considered a challenge for years to come and the recent development in wearable devices has encouraged this research area. This paper develops a composite energy harvesting paradigm that combines piezoelectricity and electromechanical energy production to energize the storage batteries powering wearable devices. A composite mathematical model that combines the piezoelectric process along with the electromechanical process comprising the piston action is developed using Matlab TM. The piezoelectric power is considered to be generated from the pressure created by human weight on it while walking and electromechanical power generated from the limb movement of the human being. The energy thus harvested from both these inputs are consolidated and fed to charge the batteries that feed the wearable sensors. The Lithium-Ion battery of 1.2V rated voltage is charged using the power generated from the mathematical models of both the piezoelectric and electromechanical power generation. The energy generated is found to be satisfactorily charging the battery.

Software Defined Radio (SDR) is the ubiquitous technology employed in Electronic Communication Sy... more Software Defined Radio (SDR) is the ubiquitous technology employed in Electronic Communication Systems. Widespread availability of multi-processor SoC technologies lead the way to replace the analog hardware blocks with software driven flexible heterogeneous computing blocks. One of the potential requirement of Software defined Radio/Receiver is assessment of spectrum occupancy over the specified frequency spectrum. The SDR has fast analog-to-digital converter (ADC) that digitizes the band limited RF or IF signals followed by Digital Down Converter (DDC) that optimizes the bandwidth (BW) and output data rate. In many applications, the signal of interest represents a small proportion of the input BW. Spectrum occupancy is estimated by converting time domain signals at the output of DDC to frequency domain and applying detection threshold on the spectrum. This is achieved through Fast Fourier Transform (FFT) technique. Active signals within the pass band are detected based on the estimated Noise riding threshold of the spectral data. In this paper, DDC and FFT blocks are designed for implementation on FPGA. Vivado 2018.1 version tool is used in the design and development of the firmware. Broad specifications are RF = 100 to 1000 MHz, Second IF = 75 MHz, instantaneous BW = 40 MHz, ADC sampling rate, f s = 100 MHz.

International Journal of Latest Technology in Engineering, Management & Applied Science, 2018

Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambi... more Energy harvesting is a process of converting waste energy into useful form. i.e., converting ambient sources like, temperature, light, sound, human body movement etc into the electrical energy, that can be used for low power applications as well as high power applications. Proposed model was implemented to address the challenges [1] for charging the batteries such as short lifetime, more power consumption and bulky. The extraction of energy from of electromagnetic radiation emitted from the wi-fi have been developed to improve the lifetime, to reduce the size and generating the energy of approximately 15V and can be used to charge the batteries. The proposed model uses antenna to receive the electromagnetic waves and fed to the diode-voltage doubler circuit followed by a rectifier, which generates an energy of DC 5V. 5V DC signal is applied to the boost converter to increase the voltage upto 20V, and boost converter switching action is automated using bistable multivibrator. Recharging circuit is a simple, Diode Bridge circuit.

The growth in areas of Virtual Reality have seen tremendous improvements in the previous couple o... more The growth in areas of Virtual Reality have seen tremendous improvements in the previous couple of decades. The prime idea behind all of the VR applications is mainly to streamline the experience of using new technological devices by providing a virtual environment to the user, giving them a sense of literally manipulating the device's data through human actions. This project undertaken aims at making use of this concept to provide with an easier working platform for the disabled in operating a computer. For a person who has lost his fingers, palm or forearm, or is born with such a condition, it is physically impossible to operate a conventional mouse. As a solution to this problem, we have developed a compact system that would essentially perform the operations of a mouse without using one. The purpose of this system is to provide mouse inputs to the system by human actions. It makes use of an IR sensor to detect eye blinks which acts as an input for the double click operation, and a tri-axis MEMS accelerometer to detect hand movements that makes cursor to move on the required computer screen. With the design of a comfortable end product, this technology can overcome the said problem.

First International Conference on Information and Communication Engineering, 2013

A high Complexity IC that integrates the major functional elements of a complete end-product into... more A high Complexity IC that integrates the major functional elements of a complete end-product into a single chipset to perform a specific functions for end users is system-on-chip (SOC). With technology scaling day by day, as the number of processors, memory, cores on a chip is increasing the computation and thus the communication complexity of the design also increases, hence there is a need for scalable approaches in the system for efficient communication. Network-on-Chips (NOCs) have emerged as the model for designing scalable communication architecture for Systems-on-Chips (SOCs). In this paper, we demonstrate a full-chip synthesis methodology to construct custom network-on-chips (Custom NOC) for NOC-based systems. Here we consider irregular network topologies for application specific designs with known communication load. Here the most important phases in designing the NOC based system are the synthesis of the topology (such as torus or mesh), the topology of NOC is determined by the router so designed. In this design, processing elements and communication architecture can be synthesized simultaneously thus it is called Custom NOC. There are two steps in synthesis of Custom NOC, first generate a objective network topology based on communication analysis. Then Processing elements (PE) are partitioned into groups such that the utility of routers will be maximized if a router is assigned to each group. By doing so, the number of routers passed by a packet, or hops, is minimized, and so is the delay and power consumption in the network.

International Journal of Informative and Futuristic Research, 2017

This paper describes a design and validation of neural network based Kannada character recognitio... more This paper describes a design and validation of neural network based Kannada character recognition system. The proposed character recognition system is robust against size, font, thickness and tilting of the characters. The proposed system recognizes printed characters in Kannada, a south Indian language. The input to the system is scanned image of base character and the output is labeling of the character. The system extracts the geometrical features and recognizes the characters using neural network back propagation algorithm. The results demonstrated are independent of the font, size and tilting of the characters and system is seen to deliver reasonable performance.