DSpace Community:http://hdl.handle.net/2080/172022-12-26T16:45:13Z2022-12-26T16:45:13ZPerformance Analysis of Machine Learning Models for Air Pollution PredictionSrivastava, HarshitSahoo, Goutam KumarDas, Santos KumarSingh, Poonamhttp://hdl.handle.net/2080/38372022-12-26T11:23:18Z2022-12-01T00:00:00ZTitle: Performance Analysis of Machine Learning Models for Air Pollution Prediction
Authors: Srivastava, Harshit; Sahoo, Goutam Kumar; Das, Santos Kumar; Singh, Poonam
Abstract: Air pollution includes contamination of air due to harmful gases, residues, fumes, etc. Contaminated air gives rise to important issues for the solid endurance of plants, organisms and individuals, including natural life. This paper focuses on predicting air pollutants using machine learning (ML) techniques and its performance analysis. Various regression and classification models like Support Vector Machine (SVM), Random Forest Classifier, Logistic Regression, Linear Regression and Random Forest Regression are used to optimize the air pollutants for better accuracy in forecasting. The performance of ML models is evaluated using State Pollution Control Board (SPCB) dataset, Odisha. The performance of Regression models is evaluated using Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). It prevails in Random Forest Regression having RMSE and MAE as 2.63 and 3.32 respectively. For classification models, Random Forest Classifier precede with an accuracy of 93.5%. The efficient performance of the model in predicting air pollutants can help in alerting the public to safer living.
Description: Copyright belongs to proceeding publisher2022-12-01T00:00:00ZAnticorrosion behaviour of green synthesized fluorescent carbon nanoparticles on Q235 steelPatra, SantosiniSubudhi, SubhasriMandal, ManoranjanNayak, Alok KumarMahanandia, Pitamberhttp://hdl.handle.net/2080/38362022-12-26T11:23:09Z2022-12-01T00:00:00ZTitle: Anticorrosion behaviour of green synthesized fluorescent carbon nanoparticles on Q235 steel
Authors: Patra, Santosini; Subudhi, Subhasri; Mandal, Manoranjan; Nayak, Alok Kumar; Mahanandia, Pitamber
Abstract: In this research work, green fluorescent carbon nanoparticles (CNPs) were synthesized from Spider dragline silks (Crossopriza lyoni) by simple pyrolysis techniques at temperature of 400 ⁰C without using of any toxic chemicals. The synthesized CNPs were comprehensively characterized by using Field emission scanning electron microscopy (FESEM) with Energy Dispersive X-Ray (EDX) analysis, X-Ray diffraction (XRD), UV-Visible, Fourier transform infrared (FTIR), Raman and fluorescence spectroscopy. The anticorrosion behaviour of green synthesized fluorescent CNPs on Q235 steel in 1 M HCl solution was examined through electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization curves (PDP) analysis. The obtained electrochemical results showed that the green synthesized CNPs could effectively inhibit the corrosion of Q235 steel in 1 M HCl solution. Additionally, the corrosion resistance behaviour was characterized by XRD and Scanning electron microscopy (SEM) analysis.
Description: Copyright belongs to proceeding publisher2022-12-01T00:00:00ZCorrelation between Coronal Mass Ejections and Type II Radio BurstsRajput, MayankBisoi, Susanta Kumarhttp://hdl.handle.net/2080/38352022-12-26T11:22:33Z2022-12-01T00:00:00ZTitle: Correlation between Coronal Mass Ejections and Type II Radio Bursts
Authors: Rajput, Mayank; Bisoi, Susanta Kumar
Abstract: Coronal mass ejections (CMEs) are solar eruptions, which usually drive shocks ahead of them. These shocks result in radio burst emission, known as Type II radio bursts. The Type II radio bursts have slow drift rate, compared to Type III bursts, which have comparatively faster drift rate. Studying the correlation between different properties of CMEs and Type II bursts would be useful to predict the CME arrivals near Earth as CMEs play a major role in space weather disturbances near Earth-space leading to severe geomagnetic activity. In the present study, we have carried out an extensive statistical data analysis between solar Type II radio burst and CMEs. The CME data were mostly used from SOHO/LASCO, while we have used radio data for Type II radio bursts spanning different frequency ranges from Wind/Waves, Gauribidanaur, Artemis catalog and Culgoora Solar Radio Spectrograph. Using these data sets, we have revisited the correlation study, as carried by others earlier, between different properties of CMEs and Type II radio bursts such as, 1) CME start time and Type II burst start time, 2) CME speed and time difference between CME start time and Type II burst start time, 3) CME width and Frequency bandwidth, 4) Frequency drift rate and start frequency of radio Burst, 4) Frequency drift rate and CME speed. We have carried out these correlations first, taking into account all classes of solar flares and then separately for different classes such as B-, C-, M-, X-solar flares. Our correlation analysis shows a strong correlation CME start time and Type II burst start time for all data sets, and for all classes of flares and when analyzed separately for different classes of flares. However, we find a poor correlation between CME speed and time difference of CME and burst start times. Similarly, in opposite to a recent report, we find a very poor correlation between CME angular width and frequency and width. In addition, we find a good correlation between frequency drift rate and start frequency of the burst, where as a poor correlation is obtained between frequency drift rate and CME speed. I would present the importance of these results and their implications in predicting the CME arrival and for space weather.
Description: Copyright belongs to proceeding publisher2022-12-01T00:00:00ZElectroplating of Zn- Al composite coating at different current densities onto mild steel for improved corrosion resistanceUpadhyay, PundrikakshaNag, AnushriBanerjee, AtanuBasu, AnindyaMallik, Archanahttp://hdl.handle.net/2080/38342022-12-26T10:40:41Z2022-12-01T00:00:00ZTitle: Electroplating of Zn- Al composite coating at different current densities onto mild steel for improved corrosion resistance
Authors: Upadhyay, Pundrikaksha; Nag, Anushri; Banerjee, Atanu; Basu, Anindya; Mallik, Archana
Abstract: The objective of electro galvanizing was to replace hot dip galvanization method. The advantage of electro galvanizing is to reduce the thickness as compare to hot dip galvanization (HDG). The problem of heat affected zone (HAZ) may occur in HDG whereas in electro galvanizing, this problem away which arise in HDG. To increase the corrosion resistance of electrogalvanized deposition, alloying element was used. Alloying elements increase the strength, hardness and resistance to wear property. Here in this work Al nano powder as an alloying element was used to increase the corrosion resistance of the coating on the surface of MS. Zn-Al electrodeposition was done in acidic sulphate bath at the pH of 3.5 on the surface of MS. Zn-Al composite coating was done at selected current densities. The range of deposition current density was obtained by a systematic cyclic voltammetry (CV) study. Zn-Al composite coating was done at the specific current densities i.e. at -50, -150, -180, -250 mA/cm2. After deposition the corrosion test was done in 3.5 wt% NaCl. Corrosion rate of deposition was found using potentiodynamic polarization method. Best corrosion result was found at -180 mA/cm2 current density. Pulse deposition was done after the DC deposition at the average current density of -180 mA/cm2. The parameters of the pulse deposition were decided with respect to -180 mA/cm2 average current density. Pulse deposition occurred at different duty cycle, frequency and peak current density (PCD). After the deposition again corrosion test was done through potentiodynamic polarization technique. Thickness of coating was measured using surface profilometer and was found to be in the range of 10 μm to 42 μm. The characterization of the deposition was done by different technique. SEM images, elemental mapping and XRD data were taken and analysed. Corrosion rate was obtained by tafel extrapolation. Electrochemical impedance spectroscopy (EIS) test was done to find out the mechanism of corrosion. 3.5 wt % NaCl electrolyte was used for EIS test in the frequency range of 105 Hz to 10-2 Hz at 10 mV AC potential. The corrosion resistance of coating was slightly increased and also coarse grain structure was obtained when SEM images were compared.
Description: Copyright belongs to proceeding publisher2022-12-01T00:00:00Z