Ranjeeta Yadav - Academia.edu (original) (raw)
Papers by Ranjeeta Yadav
RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY & MANAGEMENT
Springer Tracts in Electrical and Electronics Engineering, 2023
Lecture notes in networks and systems, 2022
2021 International Conference on Simulation, Automation & Smart Manufacturing (SASM)
Lecture notes in electrical engineering, 2022
ECS Transactions
It is a very complicated task to identify and decipher the standard output plane of the fetus in ... more It is a very complicated task to identify and decipher the standard output plane of the fetus in the evaluation of the second trimester of 2D ultrasound, which requires a long preparation time. In addition to directing the test to the correct area, it is difficult for a technician to distinguish the applicable structure in the picture. The programmatic picture preparation function allows the device to provide assistance to experienced administrators to help them solve these problems. We portray an extraordinary convolutional neural organization-based methodology for perceiving thirteen fetal well-known perspectives in freehand 2D ultrasound data and introducing fetal primary limitation by utilizing a bouncing field in this examination. Utilizing exclusively the objective life structures, the local area figures out how to pinpoint image level labels, which is a significant contribution. Tissue engineering aims to work continuously, while providing ideal benefits for localization task...
World Journal of Engineering, 2021
Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting c... more Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting company operations for businesses all over the world. “Artificial intelligence (AI)” technologies and several “ML” algorithms have grown in prominence in the business analytics sector. In the era of a huge quantum of data being generated by the virtue of the integration of the various software with the business operations, the relevance of “ML” is continuously increasing. As a result, companies may now profit from knowing how companies may use “ML” and incorporating it into their own operations. “ML” derives useful results from the data to address very dynamic and difficult social and business problems. ML helps in establishing a system that learns automatically and produces results in less time and effort, allowing machines to discover. ML is developing at a breakneck pace, fuelled mostly by new computer technology to competitive advantages during the COVID pandemic. Design/methodology/a...
Advances in Intelligent Systems and Computing, 2013
In this paper we examine the performance of two types of Overlay networks ie Peer-to-Peer (P2P) &... more In this paper we examine the performance of two types of Overlay networks ie Peer-to-Peer (P2P) & Content Delivery Network (CDN) media streaming using Multiple Description Coding (MDC). In both the approaches many servers simultaneously serve one requesting client ...
International Journal of Engineering and Advanced Technology, 2020
Improve the functionality of an FIR Filter by modifying the internal components used to design a ... more Improve the functionality of an FIR Filter by modifying the internal components used to design a filter. These past years have seen some great improvements in the speed, power, and area of the filter. Here, we will, therefore, use an ALU-based algorithm to design our FIR filter. The internal components of the ALU block will be an Adder and a Multiplier. A Floating point Adder and a Floating Point Multiplier will be the basic backbone of the ALU block, which finally will be used to design and implement our FIR filter design. Therefore, the parameters of the area are our main target but we will also see the power consumed by the Filter operation, both static and dynamic power consumed will be seen. The programming language will be written in VERILOG and the simulation and implementation of the design will be done by the help of Xilinx ISE suite version. One important aspect is that there will be 16 input samples and 16 coefficients which will be directly from a 16 tap filter. These co...
Digital instruments come to be used in Desk Top Music (DTM), live performance, etc. These perform... more Digital instruments come to be used in Desk Top Music (DTM), live performance, etc. These performances are recorded as digital contents, and circulated actively through network and electronic media. Digital Water mark technology paid much attention to solve the problem of illegal distribution & duplication when the digital contents are spread over electronic media. In this paper, we focus on a sound synthesized process in digital instruments, and propose a audio watermarking based on wavetable switching method. Certain watermarks are embedded in wavetables that are included in our digital instruments, and the insertion of secret messages is actualized with wavetable switching. Additionally, embedded watermarks can be extracted from the acoustic signal. The proposed method is able to achieve a real-time watermark, i.e., both musical performance and the insertion of watermark can be actualized.
With the boom in the population, the number of vehicles on the roads is increasing drastically, e... more With the boom in the population, the number of vehicles on the roads is increasing drastically, especially in the urban areas. And hence most of the countries are making efforts to expand the network of roadways to reduce traffic on the roads. But according to Braess’s Paradox, it was proven that building a new road is not the solution to reduce traffic. But, India is still dependent upon the traffic policemen. It was a need to develop some more efficient system of traffic light which is cheaper than the other devices. The problem can be resolved by using an intelligent technology in monitoring the traffic in all directions from any remote source in which the system automatically detects the traffic by entering the coordinates of road intersection and some nearby distance which can be manually modified and entered in the system and information is received via Google Maps distance matrix API and change the duration of the traffic signal automatically. Hence, it would be more efficien...
A noiseless ECG identification technology is an emerging new biometric modality. Different techni... more A noiseless ECG identification technology is an emerging new biometric modality. Different techniques for de-noising of ECG signal are prevalent in recent literatures such as Particle Filter (PF), wavelet transforms (WT), Empirical Mode Decomposition (EMD) & Ensemble-EMD Method. In view of the fact that Analysis of ECG signals becomes difficult to inspect the cardiac activity in the presence of Noise signals. So, de-noising of ECG signal is extremely important to prevent misinterpretation of patient’s cardiac activity which can lead to wrong diagnosis and further to death. This paper is surveying a comparison on the performance of the Particle Filter (PF), wavelet transforms (WT) and Empirical Mode Decomposition (EMD) & Ensemble EMD methods in context of denoising of an electrocardiogram (ECG) signal. Analysis of the paper provides us the way of selecting best de-noising technique of ECG signal based on the numerical value in terms of SNR and RMSE. The study is limited to signals co...
World Journal of Engineering
Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting c... more Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting company operations for businesses all over the world. “Artificial intelligence (AI)” technologies and several “ML” algorithms have grown in prominence in the business analytics sector. In the era of a huge quantum of data being generated by the virtue of the integration of the various software with the business operations, the relevance of “ML” is continuously increasing. As a result, companies may now profit from knowing how companies may use “ML” and incorporating it into their own operations. “ML” derives useful results from the data to address very dynamic and difficult social and business problems. ML helps in establishing a system that learns automatically and produces results in less time and effort, allowing machines to discover. ML is developing at a breakneck pace, fuelled mostly by new computer technology to competitive advantages during the COVID pandemic. Design/methodology/a...
International Journal of Computer Applications Ijca, Oct 8, 2010
International Journal of Computer Applications, Oct 20, 2012
International Journal of Computer Applications, 2010
RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY & MANAGEMENT
Springer Tracts in Electrical and Electronics Engineering, 2023
Lecture notes in networks and systems, 2022
2021 International Conference on Simulation, Automation & Smart Manufacturing (SASM)
Lecture notes in electrical engineering, 2022
ECS Transactions
It is a very complicated task to identify and decipher the standard output plane of the fetus in ... more It is a very complicated task to identify and decipher the standard output plane of the fetus in the evaluation of the second trimester of 2D ultrasound, which requires a long preparation time. In addition to directing the test to the correct area, it is difficult for a technician to distinguish the applicable structure in the picture. The programmatic picture preparation function allows the device to provide assistance to experienced administrators to help them solve these problems. We portray an extraordinary convolutional neural organization-based methodology for perceiving thirteen fetal well-known perspectives in freehand 2D ultrasound data and introducing fetal primary limitation by utilizing a bouncing field in this examination. Utilizing exclusively the objective life structures, the local area figures out how to pinpoint image level labels, which is a significant contribution. Tissue engineering aims to work continuously, while providing ideal benefits for localization task...
World Journal of Engineering, 2021
Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting c... more Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting company operations for businesses all over the world. “Artificial intelligence (AI)” technologies and several “ML” algorithms have grown in prominence in the business analytics sector. In the era of a huge quantum of data being generated by the virtue of the integration of the various software with the business operations, the relevance of “ML” is continuously increasing. As a result, companies may now profit from knowing how companies may use “ML” and incorporating it into their own operations. “ML” derives useful results from the data to address very dynamic and difficult social and business problems. ML helps in establishing a system that learns automatically and produces results in less time and effort, allowing machines to discover. ML is developing at a breakneck pace, fuelled mostly by new computer technology to competitive advantages during the COVID pandemic. Design/methodology/a...
Advances in Intelligent Systems and Computing, 2013
In this paper we examine the performance of two types of Overlay networks ie Peer-to-Peer (P2P) &... more In this paper we examine the performance of two types of Overlay networks ie Peer-to-Peer (P2P) & Content Delivery Network (CDN) media streaming using Multiple Description Coding (MDC). In both the approaches many servers simultaneously serve one requesting client ...
International Journal of Engineering and Advanced Technology, 2020
Improve the functionality of an FIR Filter by modifying the internal components used to design a ... more Improve the functionality of an FIR Filter by modifying the internal components used to design a filter. These past years have seen some great improvements in the speed, power, and area of the filter. Here, we will, therefore, use an ALU-based algorithm to design our FIR filter. The internal components of the ALU block will be an Adder and a Multiplier. A Floating point Adder and a Floating Point Multiplier will be the basic backbone of the ALU block, which finally will be used to design and implement our FIR filter design. Therefore, the parameters of the area are our main target but we will also see the power consumed by the Filter operation, both static and dynamic power consumed will be seen. The programming language will be written in VERILOG and the simulation and implementation of the design will be done by the help of Xilinx ISE suite version. One important aspect is that there will be 16 input samples and 16 coefficients which will be directly from a 16 tap filter. These co...
Digital instruments come to be used in Desk Top Music (DTM), live performance, etc. These perform... more Digital instruments come to be used in Desk Top Music (DTM), live performance, etc. These performances are recorded as digital contents, and circulated actively through network and electronic media. Digital Water mark technology paid much attention to solve the problem of illegal distribution & duplication when the digital contents are spread over electronic media. In this paper, we focus on a sound synthesized process in digital instruments, and propose a audio watermarking based on wavetable switching method. Certain watermarks are embedded in wavetables that are included in our digital instruments, and the insertion of secret messages is actualized with wavetable switching. Additionally, embedded watermarks can be extracted from the acoustic signal. The proposed method is able to achieve a real-time watermark, i.e., both musical performance and the insertion of watermark can be actualized.
With the boom in the population, the number of vehicles on the roads is increasing drastically, e... more With the boom in the population, the number of vehicles on the roads is increasing drastically, especially in the urban areas. And hence most of the countries are making efforts to expand the network of roadways to reduce traffic on the roads. But according to Braess’s Paradox, it was proven that building a new road is not the solution to reduce traffic. But, India is still dependent upon the traffic policemen. It was a need to develop some more efficient system of traffic light which is cheaper than the other devices. The problem can be resolved by using an intelligent technology in monitoring the traffic in all directions from any remote source in which the system automatically detects the traffic by entering the coordinates of road intersection and some nearby distance which can be manually modified and entered in the system and information is received via Google Maps distance matrix API and change the duration of the traffic signal automatically. Hence, it would be more efficien...
A noiseless ECG identification technology is an emerging new biometric modality. Different techni... more A noiseless ECG identification technology is an emerging new biometric modality. Different techniques for de-noising of ECG signal are prevalent in recent literatures such as Particle Filter (PF), wavelet transforms (WT), Empirical Mode Decomposition (EMD) & Ensemble-EMD Method. In view of the fact that Analysis of ECG signals becomes difficult to inspect the cardiac activity in the presence of Noise signals. So, de-noising of ECG signal is extremely important to prevent misinterpretation of patient’s cardiac activity which can lead to wrong diagnosis and further to death. This paper is surveying a comparison on the performance of the Particle Filter (PF), wavelet transforms (WT) and Empirical Mode Decomposition (EMD) & Ensemble EMD methods in context of denoising of an electrocardiogram (ECG) signal. Analysis of the paper provides us the way of selecting best de-noising technique of ECG signal based on the numerical value in terms of SNR and RMSE. The study is limited to signals co...
World Journal of Engineering
Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting c... more Purpose “Machine learning (ML)” in business aids in increasing company scalability and boosting company operations for businesses all over the world. “Artificial intelligence (AI)” technologies and several “ML” algorithms have grown in prominence in the business analytics sector. In the era of a huge quantum of data being generated by the virtue of the integration of the various software with the business operations, the relevance of “ML” is continuously increasing. As a result, companies may now profit from knowing how companies may use “ML” and incorporating it into their own operations. “ML” derives useful results from the data to address very dynamic and difficult social and business problems. ML helps in establishing a system that learns automatically and produces results in less time and effort, allowing machines to discover. ML is developing at a breakneck pace, fuelled mostly by new computer technology to competitive advantages during the COVID pandemic. Design/methodology/a...
International Journal of Computer Applications Ijca, Oct 8, 2010
International Journal of Computer Applications, Oct 20, 2012
International Journal of Computer Applications, 2010