73 research outputs found
Exoplanet Detection Using Kepler Mission Data with Machine Learning
No full textThe search for habitable planets beyond our solar system has long captivated the scientific community and remains one of the foremost pursuits in modern astronomy. With the advent of space-based missions, such as NASA’s Kepler telescope, our observational capabilities have expanded significantly, resulting in vast volumes of high-quality astronomical data. This data deluge necessitates the development of scalable, automated methods to support astronomers in efficiently analyzing and interpreting these observations. In recent years, machine learning has emerged as a powerful paradigm for automating complex, human-intensive tasks. This study investigates the application of supervised machine learning techniques to the detection of exoplanets using data from NASA’s Kepler mission. The data set comprises Kepler Objects of Interest (KOIs), including both physical and orbital parameters, along with their confirmed classification. We evaluate a range of supervised classifiers, spanning probabilistic, decision tree-based, and neural network models. Our best-performing model, Histogram Gradient Boosting, achieves a precision of 94.6% and a recall of 94.1% on a held-out test set. These results underscore the promise of machine learning in advancing exoplanet detection and offer a pathway toward automating the discovery of planetary systems beyond our own
Green synthesis of silver Nanoparticle using Carica Papaya and study there Biochemical Application
No full textAbstract: The nanopartical offer several advantages over other conventional drug delivery systems. Nanoparticles have gained importance in technological advancements due to their modifiable physical, chemical and biological properties with improved performance over their bulk foils. Nanoparticles can simply move in the body due to their small size and reach very complex organs through divers routes. The high stability, controlled drug release makes nanoparticles the most suitable drug delivery system. The study of different methods of synthesis of nanoparticles is essential to obtain desired nanoparticle with specific sizes and shapes. They are suitable candidates for various marketable and local application, which include imaging, catalysis medical application and environmental application.
Keywords: Nanopartical, bulk foil, divers routes.
Title: Green synthesis of silver Nanoparticle using Carica Papaya and study there Biochemical Application
Author: Ms.Pallavi R.Bhagat, Ms. Shubhangi Sahebsingh Rajput, Ms. Shruti Prashant Chavan
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 35-39
Research Publish Journals
Website: www.researchpublish.com
Published Date: 06-November-2022
DOI: https://doi.org/10.5281/zenodo.7296295
Paper Download Link (Source)
https://www.researchpublish.com/papers/green-synthesis-of-silver-nanoparticle-using-carica-papaya-and-study-there-biochemical-applicationInternational Journal of Interdisciplinary Research and Innovations, ISSN 2348-1218 (print), ISSN 2348-1226 (online), Research Publish Journals, Website: www.researchpublish.co
Mechanism and performance evaluation of spent-coffee grounds-derived nanocomposite materials for highly efficient photocatalytic degradation of organic pollutant
No full textThe study demonstrates a facile and environmentally friendly method for synthesizing crystalline TiO2 nanoparticles on the surface of hydrochar generated from readily available biomass waste, i.e., spent coffee grounds (SCGs), using a simple sol–gel process. The hydrochar served as a support for TiO2, reducing the rate at which electrons and holes recombine during photocatalysis, thereby facilitating the effective binding of TiO2, enhancing its adsorption capacity, and the convenient separation of the photocatalyst after usage. The materials were tested in the photocatalytic degradation of an organic pollutant, methylene blue (MB) dye. TiO2-hydrochar obtained at 210 ⁰C has the best performance, giving a degradation efficiency of 98.5 % and a mineralization efficiency of 87.1 % in 90 min at neutral pH. Radical trapping experiments showed
being the dominant species, followed by
. Besides, it showed superior stability with an activity loss of ∼ 9.2 % after five runs. The superior performance of the HCT210 was ascribed to the enhanced interfacial charge transfer kinetics between the TiO2 and hydrochar through
bond formation, better light absorption, and the high surface area of the materials. Performance metrics show that synthesized nanocomposites are promising photocatalysts, providing a biomass-assisted method for robust photocatalytic wastewater treatment.Killam TrustsNatural Science and Engineering Research Council (NSERC
Hydrothermal carbonization of sawdust for hydrochar production to prepare solid fuels
No full textHydrothermal carbonization (HTC) of sawdust for producing hydrochar was optimized using response surface methodology (RSM). After optimization, the combustion behaviour and other relevant fuel properties of hydrochar that was obtained at the optimized conditions were studied. Additionally, the aqueous phase obtained at the optimized conditions was recycled as the reaction medium for producing hydrochar and the influence of the aqueous phase recycling on the hydrochar yield and properties was evaluated. The results indicated that the highest hydrochar yield of 84.23 wt.% under the predicted optimum conditions of temperature of 162.23°C, 2.51 h, feedstock loading of 10.71 wt.%, and catalyst loading of 7.99 wt.%. Furthermore, it was found that the use of recycled aqueous phase as the reaction medium led to an increase in the hydrochar yield, higher heating value (HHV), and energy yield, and difference in combustion behaviour was minor. Overall, this study filled the gap in HTC literature regarding the effect of catalyst on hydrochar production and provided a practical solution to treat the aqueous phase
Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression
No full textAnnotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial. Manually annotating bounding boxes in such large-scale datasets is cost-inefficient. Additionally, due to crowdedness and occlusion in the videos, aligning the identity of runners across multiple disjoint cameras is a challenge. We collected a novel large-scale in-the-wild video dataset of marathon runners. The dataset consists of hours of recording of thousands of runners captured using 42 hand-held smartphone cameras and covering real-world scenarios. Due to the presence of crowdedness and occlusion in the videos, the annotation of runners becomes a challenging task. We propose a new scheme for tackling the challenges in the annotation of such large dataset. Our technique reduces the overall cost of annotation in terms of time as well as budget. We demonstrate performing fps analysis to reduce the effort and time of annotation. We investigate several annotation methods for efficiently generating tight bounding boxes. Our results prove that interpolating bounding boxes between keyframes is the most efficient method of bounding box generation amongst several other methods and is 3x times faster than the naive baseline method. We introduce a novel way of aligning the identity of runners in disjoint cameras. Our inter-camera alignment tool integrated with the state-of-the-art person re-id system proves to be sufficient and effective in the alignment of the runners across multiple cameras with non-overlapping views. Our proposed framework of annotation reduces the annotation cost of the dataset by a factor of 16x, also effectively aligning 93.64\% of the runners in the cross-camera setting
Fabrication of composite membranes using copper metal organic framework for energy application
No full textRepresentations of migrant and nation in selected works of Rohinton Mistry and Salman Rushdie
No full textThis thesis explores the representations of, and the relationship between. the migrant and the nation in selected works of the Bombay-born novelists Rohinton Mistry and Salman Rushdie. I explore each writer's engagement with contemporary debates surrounding the material, political, social and imaginative consequences of the crisis in secularism in India during the 1970s, 1980s and 1990s, and consider how this engagement is informed by their
migrant positions beyond India's borders. A primary concern is the way in which Mistry's and Rushdie's representations of the nation, and of migrant and diasporic subjects, intersects with the representation of Bombay in their work.
This thesis is divided into five chapters. The first two chapters concentrate on Mistry's fiction, the remaining three on Rushdie's work. Published between 1988 and 2002, the central novels examined are situated within debates regarding the founding principles of the Indian nation, and notions of Indianness, the rise of communalism in general and Hindu nationalism in particular, and the renaming of Bombay as Mumbai. My readings foreground the necessity of a
close understanding of the historical and political transformations taking place within Bombay and India during the 1970s, 1980s and 1990s, but also during the 1950s and 1960s. I argue that Mistry's and Rushdie's work is informed by a deepening anxiety over these socio-political transformations, and over how reconfigurations of Indianness increasingly position minority communities, and migrant and diasporic subjects, outside of definitions of national identity.
This anxiety extends into the negotiation of their own migrant positions. My reading of the differing representations of the migrant in Mistry's and Rushdie's work engages with ideas of accountability, political responsibility, and with notions of cosmopolitanism. In doing so, I question familiar assumptions regarding the migrant condition as one of predominantly empowering political agency. I argue that, while both authors emphasise the importance of the migrant sustaining a critical engagement with India's politics, they also foreground the anxious difficulties of doing so. This difficulty informs Mistry's and Rushdie's divergent negotiation of their own position as migrant writers, and I examine how their fiction is marked by an anxiety over the adequacy of writing as a mode of political engagement with the crisis in secularism and the parochialisation of Bombay, and as a means of negotiating the politics of migrancy
Multilinguals’ Iserian Reading of the Marilyn Monroe Poem by Judy Grahn
No full textThis study examines Judy Grahn (1940- )’s poem “Marilyn Monroe” through the lens of the Iserian reading theory (1972), using two multilingual perspectives. The results indicate that instructors should pay close attention to the gap-filling stage when implementing the Iserian reading stages in their literature classes. While the paper includes two responses from the author and co-author, representing multilingual students, it highlights the significance of the implied reader’s background knowledge in navigating the various identities that arise during the reading process. A future article will delve into students’ responses to the Marilyn Monroe poem in detail and will be published in the upcoming volumes
- …
