ADITYA GAUR | NIET, Greater Noida (original) (raw)
Papers by ADITYA GAUR
International Journal of Electronics, Electrical and Computational System, 2018
Railways are the major and most used transport system in any country of the world. Since it is th... more Railways are the major and most used transport system in any country of the world. Since it is the biggest transport system in India, hence safety of railway is essential part of railway management system to avoid accidents. Nowadays lots of accidents occur on railway crossing, just because of the carelessness in manual operations or lacks of workers and lots of railway crossings are with man availability. And railway also gets financial load of employees pay on these railway crossings. To minimize the number of accidents at railway crossing and reduce the financial load on Indian railway. We proposed a method in which an automatic railway gate control system based on FPGA, in which sensors took the data from track and send to the controller on the basis of data controller starts to work. In this paper we present a novel approach to simulate a railway crossing control system that is cost effective. In which DC motors of every gate is controlled by controller on the basis of sensors data transferred to controller. FPGA implementation for controlling various DC motors to avoid accidents and to control traffic in railway. The method addresses the problem of having to depend too much on security experience and of incurring excessive cost of validation and verification in the development of railway train control security. The implementation of sensor through the track to controlling the roadway traffic according to sensor data to controller.
IOP Publishing Journal of Physics: Conference Series, 2020
Solar power is available in abundance and is free of cost but despite this fact photovoltaic (PV)... more Solar power is available in abundance and is free of cost but despite this fact photovoltaic (PV) systems are not reliable as the efficiency of PV module is still not up to the mark. Amount of sun light absorbed by the module is the fuel for the PV modules, there are many factors which play a vital role such as front surface reflectivity, solar beam incidence angle and the most important is the transmissivity of the front surface. Objective of this paper is to examine the function of a neural network based model of a module to mitigate the soiling and improve the accuracy of dust prediction over the module and enhance the efficiency which was degraded by soiling. One of the techniques in artificial intelligence named, radial basis function neural networks (RBFNN) is utilized here to predict the dust data by reading the data of solar irradiance, module temperature, PV voltage, current and power and generates the control signal to the windshield wiper motor that drives the wiper to wipe the dust from the panel. A considerable measure of accessible exploratory information was utilized for the preparation of the RBFNN, and a back propagation algorithm was utilized.
IOP Publishing Journal of Physics: Conference Series, 2020
Precise forecast of municipal strong waste era has a critical part in future arranging and squand... more Precise forecast of municipal strong waste era has a critical part in future arranging and squander management framework. The attributes of the created strong waste are distinctive at better places (region to district or nation to nation). The precise forecast of municipal solid waste (MSW) era turns into an essential errand in present day period. Its prediction requires accurate MSW data. The point of the present review is to outline the time series model for foreseeing month to month based strong waste production in Greater Noida city of Uttar Pradesh State (India) utilizing artificial neural network (ANN) with time series autoregressive method. The gathered municipal waste perceptions have been organized month to month from 2012 to 2016. The 60 months data set has been classified into 42 training data sets, 9 testing data sets and 9 validating data sets. An assortment of models of ANN has been examined by altering the number of hidden layer neurons. Ultimately, paramount enhanced architecture of neural network is established. The least value of performance parameters is validated in the proposed model as mean square error 0.0004, root mean square error 0.0203 and the high value of the coefficient of regression 0.8123. On the premise of these execution parameters it is reasoned that the ANN model provides precise prescient outcomes.
IOP Publishing Journal of Physics: Conference Series, 2020
A traffic signal system established due to the congestion of vehicles at road intersections. Traf... more A traffic signal system established due to the congestion of vehicles at road intersections. Traffic choking at road convergence becomes a controversy for daily riders and proportionally allowing the violation of traffic rules or other hazards. The conventional traffic signal system has lots of disadvantages. Even the system is automatic but due to fixed time range it gives rise to other problem like traffic violation, air pollution indirectly this would lead to deceitful affair. The signal system has been executed using different types of controller some have fast execution time, a greater number of inputs and outputs, reliability also plays an important role in traffic signal system design. To overcome such issues, we proposed a design in this paper which works on the compactness of vehicles on traffic signals and also detects the traffic signal breach done by the vehicles. This paper shows the simulation of dynamic traffic signal and traffic breach control system with IR sensor or piezo sensor to detect the density of vehicles and traffic breach or jumping of red light. This paper related with an FPGA controller as a VLSI design using Verilog in Xilinx software.
Academic Science, 2018
These days the increasing in amount of waste generated by human's and limited landfill sites for ... more These days the increasing in amount of waste generated by human's and limited landfill sites for dumping waste, recycling it is one of the novel approaches to manage the waste effectively. The present recycling practice in which the people need to bring the waste in bulk to the recycling centre might bother and become a discouraging factor for them to recycle. To overcome such an issue, an automated recycle bin designed and installed in many countries on subways, malls etc. with a reward featured is developed from a reverse vending machine (RVM) concept. In present time, Reverse Vending Machine is become very popular in countries like Greece, Japan, Europe, South Korea, America and China. Reverse Vending Machine(RVM) reduce employee work, saves time and energy also motivate human's being, even cost effective. In this paper we explain about the working of Reverse Vending Machine based on fraud detection sensors which start to work after inserting the plastic material into it and that plastic is checked by the series of sensors. There are very attractive rewards for the users of Reverse Vending Machine, they get coins as a reward. This paper explains the simulation of Reverse Vending Machine with fraud detection with Strain Gauge Weight Sensor, Capacitive Proximity Sensors and Infrared Photoelectric Sensor to detect fraud. Reverse Vending Machine process by accepting plastic items and gives coins as a reward according to the weight of plastic items. In this, Reverse Vending Machine supports only plastic items as an input, coins as an output. The Reverse Vending machine(RVM) is simulated and implement using Xilinx in Verilog.
These days the increasing in amount of waste generated by human's and limited landfill sites for ... more These days the increasing in amount of waste generated by human's and limited landfill sites for dumping waste, recycling it is one of the novel approaches to manage the waste effectively. The present recycling practice in which the people need to bring the waste in bulk to the recycling centre might bother and become a discouraging factor for them to recycle. To overcome such an issue, an automated recycle bin designed and installed in many countries on subways, malls etc. with a reward featured is developed from a reverse vending machine (RVM) concept. In present time, Reverse Vending Machine is become very popular in countries like Greece, Japan, Europe, South Korea, America and China. Reverse Vending Machine(RVM) reduce employee work, saves time and energy also motivate human's being, even cost effective. In this paper we explain about the working of Reverse Vending Machine based on fraud detection sensors which start to work after inserting the plastic material into it and that plastic is checked by the series of sensors. There are very attractive rewards for the users of Reverse Vending Machine, they get coins as a reward. This paper explains the simulation of Reverse Vending Machine with fraud detection with Strain Gauge Weight Sensor, Capacitive Proximity Sensors and Infrared Photoelectric Sensor to detect fraud. Reverse Vending Machine process by accepting plastic items and gives coins as a reward according to the weight of plastic items. In this, Reverse Vending Machine supports only plastic items as an input, coins as an output. The Reverse Vending machine(RVM) is simulated and implement using Xilinx in Verilog.
There have been many efforts earlier on evolving A current-mode analog multiplier-divider circuit... more There have been many efforts earlier on evolving A current-mode analog multiplier-divider circuit that realized through the use of bipolar based three OTAs, which does not require external passive circuit elements is proposed in this paper. This circuit employs only OTA as a standard cell. The main objective of this paper is to present new analog multiplier-divider circuit using two OTAs and two MOSFETs, the circuit is simple and can be easily constructed from commercially available IC. The workability of the proposed circuits has been confirmed by theoretically. The Simulation results that demonstrate the performances of the multiplier-divider circuit are included.
International Journal of Electronics, Electrical and Computational System, 2018
Railways are the major and most used transport system in any country of the world. Since it is th... more Railways are the major and most used transport system in any country of the world. Since it is the biggest transport system in India, hence safety of railway is essential part of railway management system to avoid accidents. Nowadays lots of accidents occur on railway crossing, just because of the carelessness in manual operations or lacks of workers and lots of railway crossings are with man availability. And railway also gets financial load of employees pay on these railway crossings. To minimize the number of accidents at railway crossing and reduce the financial load on Indian railway. We proposed a method in which an automatic railway gate control system based on FPGA, in which sensors took the data from track and send to the controller on the basis of data controller starts to work. In this paper we present a novel approach to simulate a railway crossing control system that is cost effective. In which DC motors of every gate is controlled by controller on the basis of sensors data transferred to controller. FPGA implementation for controlling various DC motors to avoid accidents and to control traffic in railway. The method addresses the problem of having to depend too much on security experience and of incurring excessive cost of validation and verification in the development of railway train control security. The implementation of sensor through the track to controlling the roadway traffic according to sensor data to controller.
IOP Publishing Journal of Physics: Conference Series, 2020
Solar power is available in abundance and is free of cost but despite this fact photovoltaic (PV)... more Solar power is available in abundance and is free of cost but despite this fact photovoltaic (PV) systems are not reliable as the efficiency of PV module is still not up to the mark. Amount of sun light absorbed by the module is the fuel for the PV modules, there are many factors which play a vital role such as front surface reflectivity, solar beam incidence angle and the most important is the transmissivity of the front surface. Objective of this paper is to examine the function of a neural network based model of a module to mitigate the soiling and improve the accuracy of dust prediction over the module and enhance the efficiency which was degraded by soiling. One of the techniques in artificial intelligence named, radial basis function neural networks (RBFNN) is utilized here to predict the dust data by reading the data of solar irradiance, module temperature, PV voltage, current and power and generates the control signal to the windshield wiper motor that drives the wiper to wipe the dust from the panel. A considerable measure of accessible exploratory information was utilized for the preparation of the RBFNN, and a back propagation algorithm was utilized.
IOP Publishing Journal of Physics: Conference Series, 2020
Precise forecast of municipal strong waste era has a critical part in future arranging and squand... more Precise forecast of municipal strong waste era has a critical part in future arranging and squander management framework. The attributes of the created strong waste are distinctive at better places (region to district or nation to nation). The precise forecast of municipal solid waste (MSW) era turns into an essential errand in present day period. Its prediction requires accurate MSW data. The point of the present review is to outline the time series model for foreseeing month to month based strong waste production in Greater Noida city of Uttar Pradesh State (India) utilizing artificial neural network (ANN) with time series autoregressive method. The gathered municipal waste perceptions have been organized month to month from 2012 to 2016. The 60 months data set has been classified into 42 training data sets, 9 testing data sets and 9 validating data sets. An assortment of models of ANN has been examined by altering the number of hidden layer neurons. Ultimately, paramount enhanced architecture of neural network is established. The least value of performance parameters is validated in the proposed model as mean square error 0.0004, root mean square error 0.0203 and the high value of the coefficient of regression 0.8123. On the premise of these execution parameters it is reasoned that the ANN model provides precise prescient outcomes.
IOP Publishing Journal of Physics: Conference Series, 2020
A traffic signal system established due to the congestion of vehicles at road intersections. Traf... more A traffic signal system established due to the congestion of vehicles at road intersections. Traffic choking at road convergence becomes a controversy for daily riders and proportionally allowing the violation of traffic rules or other hazards. The conventional traffic signal system has lots of disadvantages. Even the system is automatic but due to fixed time range it gives rise to other problem like traffic violation, air pollution indirectly this would lead to deceitful affair. The signal system has been executed using different types of controller some have fast execution time, a greater number of inputs and outputs, reliability also plays an important role in traffic signal system design. To overcome such issues, we proposed a design in this paper which works on the compactness of vehicles on traffic signals and also detects the traffic signal breach done by the vehicles. This paper shows the simulation of dynamic traffic signal and traffic breach control system with IR sensor or piezo sensor to detect the density of vehicles and traffic breach or jumping of red light. This paper related with an FPGA controller as a VLSI design using Verilog in Xilinx software.
Academic Science, 2018
These days the increasing in amount of waste generated by human's and limited landfill sites for ... more These days the increasing in amount of waste generated by human's and limited landfill sites for dumping waste, recycling it is one of the novel approaches to manage the waste effectively. The present recycling practice in which the people need to bring the waste in bulk to the recycling centre might bother and become a discouraging factor for them to recycle. To overcome such an issue, an automated recycle bin designed and installed in many countries on subways, malls etc. with a reward featured is developed from a reverse vending machine (RVM) concept. In present time, Reverse Vending Machine is become very popular in countries like Greece, Japan, Europe, South Korea, America and China. Reverse Vending Machine(RVM) reduce employee work, saves time and energy also motivate human's being, even cost effective. In this paper we explain about the working of Reverse Vending Machine based on fraud detection sensors which start to work after inserting the plastic material into it and that plastic is checked by the series of sensors. There are very attractive rewards for the users of Reverse Vending Machine, they get coins as a reward. This paper explains the simulation of Reverse Vending Machine with fraud detection with Strain Gauge Weight Sensor, Capacitive Proximity Sensors and Infrared Photoelectric Sensor to detect fraud. Reverse Vending Machine process by accepting plastic items and gives coins as a reward according to the weight of plastic items. In this, Reverse Vending Machine supports only plastic items as an input, coins as an output. The Reverse Vending machine(RVM) is simulated and implement using Xilinx in Verilog.
These days the increasing in amount of waste generated by human's and limited landfill sites for ... more These days the increasing in amount of waste generated by human's and limited landfill sites for dumping waste, recycling it is one of the novel approaches to manage the waste effectively. The present recycling practice in which the people need to bring the waste in bulk to the recycling centre might bother and become a discouraging factor for them to recycle. To overcome such an issue, an automated recycle bin designed and installed in many countries on subways, malls etc. with a reward featured is developed from a reverse vending machine (RVM) concept. In present time, Reverse Vending Machine is become very popular in countries like Greece, Japan, Europe, South Korea, America and China. Reverse Vending Machine(RVM) reduce employee work, saves time and energy also motivate human's being, even cost effective. In this paper we explain about the working of Reverse Vending Machine based on fraud detection sensors which start to work after inserting the plastic material into it and that plastic is checked by the series of sensors. There are very attractive rewards for the users of Reverse Vending Machine, they get coins as a reward. This paper explains the simulation of Reverse Vending Machine with fraud detection with Strain Gauge Weight Sensor, Capacitive Proximity Sensors and Infrared Photoelectric Sensor to detect fraud. Reverse Vending Machine process by accepting plastic items and gives coins as a reward according to the weight of plastic items. In this, Reverse Vending Machine supports only plastic items as an input, coins as an output. The Reverse Vending machine(RVM) is simulated and implement using Xilinx in Verilog.
There have been many efforts earlier on evolving A current-mode analog multiplier-divider circuit... more There have been many efforts earlier on evolving A current-mode analog multiplier-divider circuit that realized through the use of bipolar based three OTAs, which does not require external passive circuit elements is proposed in this paper. This circuit employs only OTA as a standard cell. The main objective of this paper is to present new analog multiplier-divider circuit using two OTAs and two MOSFETs, the circuit is simple and can be easily constructed from commercially available IC. The workability of the proposed circuits has been confirmed by theoretically. The Simulation results that demonstrate the performances of the multiplier-divider circuit are included.