Tejas Rajput - Academia.edu (original) (raw)

Papers by Tejas Rajput

Research paper thumbnail of Computational analysis and experimental validation of acoustic streaming in different liquids to obtain homogeneous distribution of reinforcement particles for ultrasonic cavitation based processing

International Journal of Advance Research, Ideas and Innovations in Technology, Feb 21, 2019

Ultrasonic streaming and cavitation are the most predominant factors to consider for the efficien... more Ultrasonic streaming and cavitation are the most predominant factors to consider for the efficient ultrasonic treatment of melts. In order to achieve a good distribution of reinforcement particles for making a metal matrix composites (MMCs), the cavitation zone and velocity of fluid must be maximum enough to disperse the particles in a homogeneous way. In normal practice, stirring takes place in a closed vessel or crucible, where efficiency cannot be seen, and simulation methods are required to inform experimental research. In this work, ultrasonic streaming in water, glycerol, and aluminium melt was numerically simulated and compared by introducing SiC particles. And the simulated results of same in water and glycerol were validated by experimental results to observe sonochemiluminescence which can lead to validate the simulated result of aluminium melt indirectly. In this work, COMSOL Multiphysics is used for the challenging coupling of pressure acoustic and particle trajectories. The simulation results show that the homogenous distribution of SiC particles is influenced by ultrasonic power, frequency, ultrasonic processing time, and immersion depth of the ultrasonic probe. These studies lay the groundwork by understanding the amalgamation of simulated results in different liquids for the application of ultrasonic treatment in metal melts. Furthermore, the presented model is numerically stable and appropriate for testing parameter variations, geometry modifications and material adjustments.

Research paper thumbnail of VIBEZY: An AI based IoS Music App

International Journal for Research in Applied Science and Engineering Technology

AI-based Music iOS App is an advanced version of current music apps, with voice & face recognitio... more AI-based Music iOS App is an advanced version of current music apps, with voice & face recognition and it will not only reduce human efforts but also aims at scanning and interpreting the data and accordingly plays music based on facial expression with the additional feature of FM radio. This project is mainly focused on designing user-friendly and developing an effortless application with songs and playlists based on your mood and even visually challenged people can use them freely.

Research paper thumbnail of We Safe ( Anti-Crime Application )

Inevitably, incidents happen everywhere at any time. Incidents vary based on the level of complic... more Inevitably, incidents happen everywhere at any time. Incidents vary based on the level of complication and severity. Most incidents are not reported to authorities to protect their identity, the high rate of unreported crimes could affect the society in decision making and due to this situation, half of the crimes are not reported. In the proposed system, users can register to this application and can give the detailed report of crimes that happened. In the modification part, there will be three logins 1.User 2.Police 3.Admin. User can give the crime report along with the initiation of current GPS or can give location details manually with crime details with Photos, Audio, Video, Description of crime & category etc. date are sent to the server. Actions taken by police can be viewed by the admin and user. User can also transfer their files from the android to the remote server, which is split into several blocks and can be retrieved whenever it is required. KeywordsCrime reporting, L...

Research paper thumbnail of Computational Analysis and Experimental Validation of Gene Predictions in Toxoplasma gondii

PLoS ONE, 2008

Background: Toxoplasma gondii is an obligate intracellular protozoan that infects 20 to 90% of th... more Background: Toxoplasma gondii is an obligate intracellular protozoan that infects 20 to 90% of the population. It can cause both acute and chronic infections, many of which are asymptomatic, and, in immunocompromized hosts, can cause fatal infection due to reactivation from an asymptomatic chronic infection. An essential step towards understanding molecular mechanisms controlling transitions between the various life stages and identifying candidate drug targets is to accurately characterize the T. gondii proteome. Methodology/Principal Findings: We have explored the proteome of T. gondii tachyzoites with high throughput proteomics experiments and by comparison to publicly available cDNA sequence data. Mass spectrometry analysis validated 2,477 gene coding regions with 6,438 possible alternative gene predictions; approximately one third of the T. gondii proteome. The proteomics survey identified 609 proteins that are unique to Toxoplasma as compared to any known species including other Apicomplexan. Computational analysis identified 787 cases of possible gene duplication events and located at least 6,089 gene coding regions. Commonly used gene prediction algorithms produce very disparate sets of protein sequences, with pairwise overlaps ranging from 1.4% to 12%. Through this experimental and computational exercise we benchmarked gene prediction methods and observed false negative rates of 31 to 43%. Conclusions/Significance: This study not only provides the largest proteomics exploration of the T. gondii proteome, but illustrates how high throughput proteomics experiments can elucidate correct gene structures in genomes.

Research paper thumbnail of Brain Fingerprinting

Different technologies and methodologies have evolved with times for the effective deduction of c... more Different technologies and methodologies have evolved with times for the effective deduction of crimes viz. Fingerprint testing, DNA testing , Polygraph testing (lie detectors). Brain fingerprinting is a new addition to this list and has proved beneficial. The basic idea is that the brain emits a unique brainwave pattern when confronted with a particular stimulus. This brainwave pattern is then studied with a well-devised algorithm and the necessary deductions are carried out to avoid any error. Brain Fingerprinting differs from the Polygraph Test in a way that it does not detect lies, stress, emotions. It simply determines if the information is ‘present’ or ‘absent’ and delivers a confidence based on computed statistics for each determination.Apart from criminology, this technique is useful in other applications too.

Research paper thumbnail of Computational analysis and experimental validation of acoustic streaming in different liquids to obtain homogeneous distribution of reinforcement particles for ultrasonic cavitation based processing

International Journal of Advance Research, Ideas and Innovations in Technology, Feb 21, 2019

Ultrasonic streaming and cavitation are the most predominant factors to consider for the efficien... more Ultrasonic streaming and cavitation are the most predominant factors to consider for the efficient ultrasonic treatment of melts. In order to achieve a good distribution of reinforcement particles for making a metal matrix composites (MMCs), the cavitation zone and velocity of fluid must be maximum enough to disperse the particles in a homogeneous way. In normal practice, stirring takes place in a closed vessel or crucible, where efficiency cannot be seen, and simulation methods are required to inform experimental research. In this work, ultrasonic streaming in water, glycerol, and aluminium melt was numerically simulated and compared by introducing SiC particles. And the simulated results of same in water and glycerol were validated by experimental results to observe sonochemiluminescence which can lead to validate the simulated result of aluminium melt indirectly. In this work, COMSOL Multiphysics is used for the challenging coupling of pressure acoustic and particle trajectories. The simulation results show that the homogenous distribution of SiC particles is influenced by ultrasonic power, frequency, ultrasonic processing time, and immersion depth of the ultrasonic probe. These studies lay the groundwork by understanding the amalgamation of simulated results in different liquids for the application of ultrasonic treatment in metal melts. Furthermore, the presented model is numerically stable and appropriate for testing parameter variations, geometry modifications and material adjustments.

Research paper thumbnail of VIBEZY: An AI based IoS Music App

International Journal for Research in Applied Science and Engineering Technology

AI-based Music iOS App is an advanced version of current music apps, with voice & face recognitio... more AI-based Music iOS App is an advanced version of current music apps, with voice & face recognition and it will not only reduce human efforts but also aims at scanning and interpreting the data and accordingly plays music based on facial expression with the additional feature of FM radio. This project is mainly focused on designing user-friendly and developing an effortless application with songs and playlists based on your mood and even visually challenged people can use them freely.

Research paper thumbnail of We Safe ( Anti-Crime Application )

Inevitably, incidents happen everywhere at any time. Incidents vary based on the level of complic... more Inevitably, incidents happen everywhere at any time. Incidents vary based on the level of complication and severity. Most incidents are not reported to authorities to protect their identity, the high rate of unreported crimes could affect the society in decision making and due to this situation, half of the crimes are not reported. In the proposed system, users can register to this application and can give the detailed report of crimes that happened. In the modification part, there will be three logins 1.User 2.Police 3.Admin. User can give the crime report along with the initiation of current GPS or can give location details manually with crime details with Photos, Audio, Video, Description of crime & category etc. date are sent to the server. Actions taken by police can be viewed by the admin and user. User can also transfer their files from the android to the remote server, which is split into several blocks and can be retrieved whenever it is required. KeywordsCrime reporting, L...

Research paper thumbnail of Computational Analysis and Experimental Validation of Gene Predictions in Toxoplasma gondii

PLoS ONE, 2008

Background: Toxoplasma gondii is an obligate intracellular protozoan that infects 20 to 90% of th... more Background: Toxoplasma gondii is an obligate intracellular protozoan that infects 20 to 90% of the population. It can cause both acute and chronic infections, many of which are asymptomatic, and, in immunocompromized hosts, can cause fatal infection due to reactivation from an asymptomatic chronic infection. An essential step towards understanding molecular mechanisms controlling transitions between the various life stages and identifying candidate drug targets is to accurately characterize the T. gondii proteome. Methodology/Principal Findings: We have explored the proteome of T. gondii tachyzoites with high throughput proteomics experiments and by comparison to publicly available cDNA sequence data. Mass spectrometry analysis validated 2,477 gene coding regions with 6,438 possible alternative gene predictions; approximately one third of the T. gondii proteome. The proteomics survey identified 609 proteins that are unique to Toxoplasma as compared to any known species including other Apicomplexan. Computational analysis identified 787 cases of possible gene duplication events and located at least 6,089 gene coding regions. Commonly used gene prediction algorithms produce very disparate sets of protein sequences, with pairwise overlaps ranging from 1.4% to 12%. Through this experimental and computational exercise we benchmarked gene prediction methods and observed false negative rates of 31 to 43%. Conclusions/Significance: This study not only provides the largest proteomics exploration of the T. gondii proteome, but illustrates how high throughput proteomics experiments can elucidate correct gene structures in genomes.

Research paper thumbnail of Brain Fingerprinting

Different technologies and methodologies have evolved with times for the effective deduction of c... more Different technologies and methodologies have evolved with times for the effective deduction of crimes viz. Fingerprint testing, DNA testing , Polygraph testing (lie detectors). Brain fingerprinting is a new addition to this list and has proved beneficial. The basic idea is that the brain emits a unique brainwave pattern when confronted with a particular stimulus. This brainwave pattern is then studied with a well-devised algorithm and the necessary deductions are carried out to avoid any error. Brain Fingerprinting differs from the Polygraph Test in a way that it does not detect lies, stress, emotions. It simply determines if the information is ‘present’ or ‘absent’ and delivers a confidence based on computed statistics for each determination.Apart from criminology, this technique is useful in other applications too.