Nitin Kothari - Academia.edu (original) (raw)

Nitin Kothari

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Papers by Nitin Kothari

Research paper thumbnail of Design and implementation of IoT sensor based drinking water quality measurement system

Water is essential for the living being. Water plays major role in all metabolic activity. After ... more Water is essential for the living being. Water plays major role in all metabolic activity. After being filtered at the treatment plant, water is used for drinking. Mostly the water supplies to the houses and industry is through underground pipe line network system. If there is any damage/leakage in the pipe line system, water gets mixed with impurity and is polluted. High DO value speeds up corrosion in water pipes. Due to this corrosion, drinking water quality gets affected so there is need to measure DO levels in the water supplied. This paper presents the drinking water quality measurement system with the help of various sensors such as temperature, TDS, pH and DO sensors. Drinking water, cold or hot, keeps human body hydrated and healthy so it is very essential to monitor the drinking water temperature. Thus, required added temperature sensor in the developed module; TDS sensor gives the measurement of solid object dissolved in the water; pH sensor was installed to monitor the c...

Research paper thumbnail of Applying different machine learning classifiers on very large dataset to demonstrate the challenges in choosing the right machine learning classifier for a given problem

Materials Today: Proceedings, 2021

Abstract Flight delays impose very heavy costs on airlines, customer as well as the economy. Besi... more Abstract Flight delays impose very heavy costs on airlines, customer as well as the economy. Besides other benefits, Machine Learning classifiers present an opportunity to analyze organizational data and make improvements based on hitherto undiscovered or not so obvious patterns. There is scope for increasing understanding of which Machine Learning classifier will deliver the best results for a given problem. This study used a large dataset on yearly flight statistics of the year 1997 from Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation with over 5 Million rows of data and compared results of seven classifiers, namely, Linear classifier, Regression classifier, Neural Net, Random trees, CHAID, Tree-AS (using CHAID algorithm and based on Regression Tree) and GLM (Generalized Linear Model) classifier to find significant variation in results as regards Correlation in predicted versus actual delay as well as key predictors the Departure delay in flight is seen to occur in 5 out of 6 cases indicating that while Machine Learning classifiers do agree on certain important parameters, differences between their findings are no less significant.

Research paper thumbnail of Fanbeam Reconstruction Algorithm for Shepp Logan Head Phantom and Histrogram Analysis

Computer tomography has become a most important area in biomedical imaging system to reconstruct ... more Computer tomography has become a most important area in biomedical imaging system to reconstruct 3D image. Several exact CT reconstruction algorithms, such as the generalized filtered-back projection and back projection-filtration methods and fan beam reconstruction algorithm have been developed to solve the long object problem. Although the well-known 3D Shepp–Logan phantom is often used to validate these algorithms, it is deficient due to the discontinuity of the SLP. The need for a practical method of reconstruction gave rise to the back projection technique [1]. There are two method of filter back projection the first method back projection the measurements at each projection are projected or `smeared' back along the same line. The other method is filtered back projection is still the standard technique in commercial scanners used to correct the blurring encountered in back projection method. A basic difficulty in imaging with X-rays is that a twodimensional image is obtaine...

Research paper thumbnail of Design and implementation of IoT sensor based drinking water quality measurement system

Water is essential for the living being. Water plays major role in all metabolic activity. After ... more Water is essential for the living being. Water plays major role in all metabolic activity. After being filtered at the treatment plant, water is used for drinking. Mostly the water supplies to the houses and industry is through underground pipe line network system. If there is any damage/leakage in the pipe line system, water gets mixed with impurity and is polluted. High DO value speeds up corrosion in water pipes. Due to this corrosion, drinking water quality gets affected so there is need to measure DO levels in the water supplied. This paper presents the drinking water quality measurement system with the help of various sensors such as temperature, TDS, pH and DO sensors. Drinking water, cold or hot, keeps human body hydrated and healthy so it is very essential to monitor the drinking water temperature. Thus, required added temperature sensor in the developed module; TDS sensor gives the measurement of solid object dissolved in the water; pH sensor was installed to monitor the c...

Research paper thumbnail of Applying different machine learning classifiers on very large dataset to demonstrate the challenges in choosing the right machine learning classifier for a given problem

Materials Today: Proceedings, 2021

Abstract Flight delays impose very heavy costs on airlines, customer as well as the economy. Besi... more Abstract Flight delays impose very heavy costs on airlines, customer as well as the economy. Besides other benefits, Machine Learning classifiers present an opportunity to analyze organizational data and make improvements based on hitherto undiscovered or not so obvious patterns. There is scope for increasing understanding of which Machine Learning classifier will deliver the best results for a given problem. This study used a large dataset on yearly flight statistics of the year 1997 from Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation with over 5 Million rows of data and compared results of seven classifiers, namely, Linear classifier, Regression classifier, Neural Net, Random trees, CHAID, Tree-AS (using CHAID algorithm and based on Regression Tree) and GLM (Generalized Linear Model) classifier to find significant variation in results as regards Correlation in predicted versus actual delay as well as key predictors the Departure delay in flight is seen to occur in 5 out of 6 cases indicating that while Machine Learning classifiers do agree on certain important parameters, differences between their findings are no less significant.

Research paper thumbnail of Fanbeam Reconstruction Algorithm for Shepp Logan Head Phantom and Histrogram Analysis

Computer tomography has become a most important area in biomedical imaging system to reconstruct ... more Computer tomography has become a most important area in biomedical imaging system to reconstruct 3D image. Several exact CT reconstruction algorithms, such as the generalized filtered-back projection and back projection-filtration methods and fan beam reconstruction algorithm have been developed to solve the long object problem. Although the well-known 3D Shepp–Logan phantom is often used to validate these algorithms, it is deficient due to the discontinuity of the SLP. The need for a practical method of reconstruction gave rise to the back projection technique [1]. There are two method of filter back projection the first method back projection the measurements at each projection are projected or `smeared' back along the same line. The other method is filtered back projection is still the standard technique in commercial scanners used to correct the blurring encountered in back projection method. A basic difficulty in imaging with X-rays is that a twodimensional image is obtaine...

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