Impact of Online Learning in India: A Survey of University Students during the COVID-19 Crisis

Manash Pratim Goswami,Jyoti Thanvi,Soubhagya Ranjan Padhi 충남대학교 아시아여론연구소 2021 Asian journal for public opinion research Vol.9 No.4

The unprecedented situation of COVID-19 caused the government of India to instruct educational institutions to switch to an online mode to mitigate the losses for students due to the pandemic. The present study attempts to explore the impact of online learning introduced as a stop-gap arrangement during the pandemic in India. A survey was conducted (N=289), via Facebook and WhatsApp, June 1-15, 2020 to understand the accessibility and effectiveness of online learning and constraints that students of higher education across the country faced during the peak times of the pandemic. The analysis and interpretation of the data revealed that the students acclimatized in a short span of time to online learning, with only 33.21% saying they were not satisfied with the online learning mode. However, the sudden shift to online education has presented more challenges for the socially and economically marginalized groups, including Scheduled Caste (SC), Scheduled Tribes (ST), Other Backward Class (OBC), females, and students in rural areas, due to factors like the price of high-speed Internet (78.20% identified it as a barrier to online learning), insufficient infrastructure (23.52% needed to share their device frequently or very frequently), poor Internet connectivity, etc. According to 76.47% of respondents, the future of learning will be in “blended mode.” A total of 88.92% of the respondents suggested that the government should provide high-quality video conferencing facilities free to students to mitigate the division created by online education in an already divided society.

Generation of Highlight Free Image from Single Low Dynamic Range Image

Partha Pratim Banik,Rappy Saha,Ki-doo Kim 한국통신학회 2017 한국통신학회 학술대회논문집 Vol.2017 No.6

The Potential of ChatGPT to Transform Healthcare and Address Ethical Challenges in Artificial Intelligence-Driven Medicine

Partha Pratim Ray,Poulami Majumder 대한신경과학회 2023 Journal of Clinical Neurology Vol.19 No.5

Regression analysis for LED color detection of visual-MIMO system

Banik, Partha Pratim,Saha, Rappy,Kim, Ki-Doo Elsevier 2018 OPTICS COMMUNICATIONS - Vol.413 No.-

<P><B>Abstract</B></P> <P>Color detection from a light emitting diode (LED) array using a smartphone camera is very difficult in a visual multiple-input multiple-output (visual-MIMO) system. In this paper, we propose a method to determine the LED color using a smartphone camera by applying regression analysis. We employ a multivariate regression model to identify the LED color. After taking a picture of an LED array, we select the LED array region, and detect the LED using an image processing algorithm. We then apply the k-means clustering algorithm to determine the number of potential colors for feature extraction of each LED. Finally, we apply the multivariate regression model to predict the color of the transmitted LEDs. In this paper, we show our results for three types of environmental light condition: room environmental light, low environmental light (560 lux), and strong environmental light (2450 lux). We compare the results of our proposed algorithm from the analysis of training and test R-Square (%) values, percentage of closeness of transmitted and predicted colors, and we also mention about the number of distorted test data points from the analysis of distortion bar graph in CIE1931 color space.</P> <P><B>Highlights</B></P> <P> <UL> <LI> LED color detection method is proposed using regression analysis for visual-MIMO system. </LI> <LI> Smart phone camera is used to take images of LEDs. </LI> <LI> Minimizing the real time illumination noise for color detection and distortion analysis is shown. </LI> </UL> </P>

LED color prediction using a boosting neural network model for a visual-MIMO system

Banik, Partha Pratim,Saha, Rappy,Kim, Ki-Doo Elsevier 2019 OPTICS COMMUNICATIONS - Vol.437 No.-

<P><B>Abstract</B></P> <P>Color decision of Light-emitting diode (LED) by smartphone cameras is a challenging area in visual- multiple-input multiple-output (MIMO) systems. In this study, we use a generalized color modulation (GCM) technique for a visual-MIMO system. We propose a boosting neural network (BNN) model that can predict LED color from an LED image. To develop this learning model, we use LED image pixels as input features by resizing all LED images to 10 × 10 pixels through bicubic anti-aliasing interpolation. The model is trained in three stages: (1) select the coefficient of the activation function, (2) train each feature to build weak learners, and (3) train the weak learners to predict LED color. Then, we make a symbol decision by measuring the minimum Euclidean distance between the predicted color of the received symbol and transmitted symbol colors. We evaluate our prediction by measuring the root-mean-square error (RMSE) of our test dataset at different environmental light intensities. We also measure the average closeness accuracy and symbol error rate (SER) performance of the proposed method with respect to transmission distances and different sizes of constellation diagrams. Finally, we compare the performance of our proposed BNN model with that of a multiple-linear-regression method.</P> <P><B>Highlights</B></P> <P> <UL> <LI> BNN is proposed for determining LED color of visual-MIMO system. </LI> <LI> Smart phone camera is used to take images of LED array. </LI> <LI> GCM technique is used for modulation in visual-MIMO system. </LI> <LI> Using BNN, visual-MIMO system performance is evaluated for different distances. </LI> <LI> BNN model of visual-MIMO system is compared with multiple regression model. </LI> </UL> </P>

Solution processed Al-doped ZnO and its performance in dye sensitized solar cells

Das Partha Pratim,Roy Anurag,Devi Parukuttyamma Sujatha,이영재 한국물리학회 2021 Current Applied Physics Vol.30 No.-

Al-doped ZnO rods of nanometer to sub-micrometer size range have been successfully synthesized by a simple yet cost-effective solution processed sonochemical technique. Systematic XRD analysis established the solid solubility limit for Al in the ZnO lattice to be ca. 3 mol% at an elevated annealing temperature of 800 ◦C. The secondary ZnAl2O4 phase appears with increasing dopant concentrations and at lower annealing temperatures. Significant variations in the optoelectronic properties are induced by modifications in the surface defects of ZnO rods as a result of Al doping. As a consequence, an improved fill factor (FF) of 74.78 and 75.76% with a conversion efficiency (η) of 1.59 and 1.79% have been achieved for the fabricated DSSC devices made of the 800 ◦C annealed ZnO rods doped by 1 and 3 mol% Al, respectively.

Ethnomedicinal Practices and Traditional Medicinal Plants of Barak Valley, Assam: a systematic review

Barbhuiya Pervej Alom,Laskar Abdul Mannaf,Mazumdar Hemanga,Dutta Partha Pratim,Pathak Manash Pratim,Dey Biplab Kumar,Sen Saikat 대한약침학회 2022 Journal of pharmacopuncture Vol.25 No.3

Objectives: The Barak Valley is well known for its rich diversity of medicinal plants. Ethnomedicinal practices are prominent among Barak Valley’s major and minor ethnic groups. This systemic review focuses on traditionally used medicinal plants found in the Barak Valley as reported in different ethnobotanical surveys. Methods: We searched various databases, including PubMed, Web of Science, and Google Scholar, to find ethnomedicinal surveys conducted in the Barak Valley. The search was performed using different terms, including ethnomedicinal survey, folk medicine, indigenous knowledge, and Barak Valley. Potential articles were identified following the exclusion and inclusion criteria. Results: A total of eight ethnobotanical surveys were included in this study. We identified a total of 216 plant species belonging to 167 genera and 87 families, which are widely used by the ethnic communities who live in the rural areas of Barak Valley for the treatment of various diseases and ailments. Conclusion: Folk medicine is the result of decades of accumulated knowledge and practices by people who live in rural communities based on their needs and provides an important source of information to assist the search for new pharmaceuticals. Therefore, available information on traditional medicinal plants needs to be explored scientifically to find effective and alternative treatments for different diseases.

Characterization of nanostructured pristine and Fe- and V-doped titania synthesized by atomization and bubbling

조국,Pratim Biswas,Phil Fraundorf 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.2

Pristine titania and vanadium- or iron-doped titania particles were synthesized in a tubular furnacereactor. Each sample was synthesized by different injection methods either by the atomizer or bubbler. Titania, which was made by the bubbling method, showed agglomerates with around 10 nm primaryparticles. Atomization, on the other hand, resulted in the mixture of 100 nm particles and 10 nmparticles. Iron dopants introduced by the atomizer showed hematite crystals along with anatase whilevanadium did not show any vanadium related crystals. Atomized vanadium formed stable particles andthe collision with titania resulted in V-doped titania. Substituted vanadium promoted sintering of titaniaeven at a low concentration. Bubbled vanadium condensed on the surface of titania particles because ofits low melting point and small size, and hence it did not affect the morphology of titania significantly.

Simultaneous Removal of Cd and Pb from Flue Gases Using in-situ Generated Nano-sized Sorbents

정순관,Pratim Biswas,김상복,김상수,Xu Chen 한국공업화학회 2007 Journal of Industrial and Engineering Chemistry Vol.13 No.7

A laboratory-scale system incorporating a high temperature furnace has been utilized to study the reaction of heavy metal species and sorbents. The interaction between heavy metal species (cadmium and lead) and sorbents for different injection conditions is studied. Three different sorbents, a solid phase pillar intercalated clay (PICL) and two in-situ generated silica and titania, are used for capture of the heavy metals. The in-situ generated silica agglomerates had a high surface area and suppressed nucleation of cadmium and lead species vapors over all injection conditions. The mean particle size of the resultant heavy metals - silica complex is significantly larger than that of heavy metals alone. It can be tuned for effective capture in existing particle control devices. However, in-situ generated titania showed spherical form due to slow collision characteristic time and hindered to grow by heavy metal species. It showed smaller particle size distribution compared to silica except for injection TiO2 precursor into the first furnace and then injection heavy metal species into the second furnace. The solid phase pillar intercalated clay sorbent was not stable at 1000 oC, and structural changes resulted. The PICL sorbent showed low removal efficiency of heavy metals.

Modeling the Critical Position of U-turning Vehicles at Uncontrolled Median Openings

Smruti Sourava Mohapatra,Partha Pratim Dey,Satish Chandra 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.1

The present study provides a methodology for identification of the conflict zone between a turning vehicle and on-coming vehicles at uncontrolled median openings on urban roads under mixed traffic conditions. Data for turning movements of different types of vehicles were collected at 13 median openings on 6-lane roads and 8 median openings on 4-lane roads in different cities of India. These data are analyzed statistically and it was found that the critical position (path of the outer wheel) of a vehicle is influenced by the vehicle size and the road width. In the case of 6-lane roads, the critical position of turning vehicle may follow a unimodal or bimodal distribution depending upon the proportion of motorized two-wheelers (2-W) in the turning volume. On 4-lane roads, the gamma distribution was found to fit the placement data at all the eight sections. A simple model is proposed to identify the boundary of the conflict zone at median openings. The geometrical augmentation required at the median opening in order to avoid the conflict between turning vehicles and through traffic in the opposing median lane is also suggested.