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Modeling of Real Time Traffic Flow Monitoring System Using Deep Learning and Unmanned Aerial Vehicles
Recently, intelligent video surveillance technologies using unmanned aerial vehicles (UAVs) have been considerably increased in the transportation sector. Real time collection of traffic videos by the use of UAVs finds useful to monitor the traffic flow and road conditions. Since traffic jams have become common in urban areas, it is needed to design artificial intelligence (AI) based recognition techniques to attain effective traffic flow monitoring. Besides, the traffic flow monitoring system can assist the traffic managers to start efficient dispersal actions. Therefore, this study designs a real time traffic flow monitoring system using deep learning (DL) and UAVs, called RTTFM-DL. The proposed RTTFM-DL technique aims to detect vehicles, count vehicles, estimate speed and determine traffic flow. In addition, an efficient vehicle detection model is proposed by the use of Faster Regional Convolutional Neural Network (Faster RCNN) with Residual Network (ResNet). Also, a detection line based vehicle counting approach is designed, which is based on overlap ratio. Finally, traffic flow monitoring takes place based on the estimated vehicle count and vehicle speed. In order to guarantee the effectual performance of the RTTFM-DL technique, a series of experimental analyses take place and the results are examined under varying aspects. The experimental outcomes highlighted the betterment of the RTTFM-DL technique over the recent techniques. The RTTFM-DL technique has gained improved outcomes with a higher accuracy of 0.975. 2022 River Publishers. -
Dependence between Sugar Industry Specific Factors and Sugar Companies Share Prices: Evidence from India
We assess the effects of sugar industry-specific macroeconomic factors on share prices of sugar companies in India using quantile regression approach from January 2001 to December 2017. We detect grounds to affirm the dependence between sugar industry specific macroeconomic factors and sugar companies share prices. The results indicate that the change in sugarcane cultivation area has both positive and negative effect on the share prices of sugar companies. Further, it shows that the impact of sugar production on share prices of sugar companies varies across the different quantiles except an insignificant effect on two companies for all quantiles. Moreover, most of the companies share prices are highly and positively influenced by sugar import. The study pointed out that the risk of sugar industry specific macroeconomic factors noticed in the sugar companies share prices is heterogenous. Indian Institute of Finance Vol. XXXVI No. 4, December 2022. -
Barbell-shaped giant radio galaxy with ? 100 kpc kink in the jet
We present for the first time a study of peculiar giant radio galaxy (GRG) J223301+131502 using deep multi-frequency radio observations from GMRT (323, 612, and 1300 MHz) and LOFAR (144 MHz) along with optical spectroscopic observations with the WHT 4.2m optical telescope. Our observations have firmly established its redshift of 0.09956 and unveiled its exceptional jet structure extending more than ? 200 kpc leading to a peculiar kink structure of ? 100 kpc. We measure the overall size of this GRG to be ? 1.83 Mpc; it exhibits lobes without any prominent hotspots and closely resembles a barbell. Our deep low-frequency radio maps clearly reveal the steep-spectrum diffuse emission from the lobes of the GRG. The magnetic field strength of ? 5 ?G and spectral ages between about 110 to 200 mega years for the radio lobes were estimated using radio data from LOFAR 144 MHz observations and GMRT 323 and 612 MHz observations. We discuss the possible causes leading to the formation of the observed kink feature for the GRG, which include precession of the jet axis, development of instabilities and magnetic reconnection. Despite its enormous size, the Barbell GRG is found to be residing in a low-mass (M200 ? 1014 M) galaxy cluster. This GRG with two-sided large-scale jets with a kink and diffuse outer lobes residing in a cluster environment, provides an opportunity to explore the structure and growth of GRGs in different environments. 2022 EDP Sciences. All rights reserved. -
The Challenges of Blockchain Technology Adoption in the Agro-based Industries
Blockchain is one of the latest innovations in information technology, bringing a digital revolution to many industries by increasing transparency. But this technology needs to be explored a lot as of now. Agriculture supply chain management distributes agro-based products like vegetables, fruits, pulses, and cereals. This research is conducted to identify the agro-based industries' adoption of blockchain in their supply chain for achieving sustainability. The next step towards sustainable agriculture is primarily seen as blockchain-enabled agriculture. By making supply chains transparent, technology can follow products from the point of manufacture and prevent waste and inefficiency. A structured literature review helped determine the barriers to blockchain adoption in agro-based industries. This research is unique as no survey-based research on blockchain in the agriculture supply chain using structural equation modeling has been found. The seven proposed hypotheses support the blockchain challenges for adoption in agro-based industries. The findings of this study suggest that the blockchain can bring transparency and traceability and will remove the agro-industry inefficiencies. 2022 International Journal of Mathematical, Engineering and Management Sciences. All rights reserved. -
The Un-Human Beings: The Denial of Muslim Migrants Bodies in India and Poland
This essay traces the political and legal discourses around migrants and refugees in two distinct conditions: the postcolonial and the postsocialist of India and Poland, respectively. The two countries have recently turned to nationalist right-wing politics with an increasingly hostile focus on foreign Others, particularly Muslims. In the context of increased global surveillance and criminalization of Muslims, we show how the bodies of Muslim migrants are dehumanized and constructed as threats, denying their humanity in the process. We do this through the two cases of Ayub and Ameer, two Muslim men navigating their illegality in two different contexts in India and Poland. This essay is a contribution to the literature on postcolonial and postsocialist theories and critical debates about the possibilities of dialogue between postsocialist and postcolonial geographies. The examples we use demonstrate that the postcolonial and postsocialist nation-states respond to global phenomena such as migration and Islamophobia in ways that have discernible traces of their histories and are constituted distinctively from the western metropoles. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Drill hole surface characterisation of hybrid FRP laminates through statistical analysis
As it is known that the hybrid Fibre Reinforced Polymer (FRP) composite laminate is a recently evolved class of structural material. Hence, the present work deals with secondary processing ability like hole drilling on hard to machine FRP laminate. The influence of drilling attributes on the delamination factor and surface roughness contours are studied for a high thickness hybrid (carbon/glass FRP) laminates. Here, the experimentation was performed utilising Taguchis L27 design of experiments array. Later, on post-drilling, the predominant and optimum variables were studied through taguchi and variance analysis to highlight their contribution on the response functions. Taguchi results indicate that the combination of the 90?tungsten carbide tool, speed of 800 rpm, and rate of feed 50 mm/min gives the best performance concerning the delamination. Also, it was observed that the combination of the 118?tungsten carbide tool, cutting speed of 900 rpm and the rate of feed 60 mm/min give the best performance concerning surface roughness. Whereas, as per ANOVA, the highest percentage contribution factor was concerned to a tool material followed by other factors and analysed data lie with the confidence level of 95%. The work also indicates that tungsten carbide tool yield better results compared to high-speed steel tool. Further, fibre morphology has been studied, which indicates optimal structure with minimal damage. 2020 Engineers Australia. -
A Bose horn antenna radio telescope (BHARAT) design for 21 cm hydrogen line experiments for radio astronomy teaching
We have designed a low-cost radio telescope system named the Bose Horn Antenna Radio Telescope (BHARAT) to detect the 21 cm hydrogen line emission from our Galaxy. The system is being used at the Radio Physics Laboratory (RPL) (Radio Physics Lab, IUCAA NCRA-TIFR, , ), Inter-University Centre for Astronomy and Astrophysics (IUCAA), India, for laboratory sessions and training students and teachers. It is also a part of the laboratory curriculum at several universities and colleges. Here, we present the design of a highly efficient, easy to build, and cost-effective dual-mode conical horn used as a radio telescope and describe the calibration procedure. We also present some model observation data acquired using the telescope for facilitating easy incorporation of this experiment in the laboratory curriculum of undergraduate or post-graduate programs. We have named the antenna after Acharya (teacher or an influential mentor) Jagadish Chandra Bose, honoring a pioneer in radio-wave science and an outstanding teacher, who inspired several world renowned scientists. 2022 Author(s). -
Emission line star catalogues post- Gaia DR3: A validation of Gaia DR3 data using the LAMOST OBA emission catalogue
Aims.Gaia Data Release 3 (DR3) and further releases have the potential to identify and categorise new emission-line stars in the Galaxy. We perform a comprehensive validation of astrophysical parameters from Gaia DR3 with the spectroscopically estimated emission-line star parameters from the LAMOST OBA emission catalogue. Method. We compare different astrophysical parameters provided by Gaia DR3 with those estimated using LAMOST spectra. By using a larger sample of emission-line stars, we performed a global polynomial and piece-wise linear fit to update the empirical relation to convert the Gaia DR3 pseudo-equivalent width to the observed equivalent width, after removing the weak emitters from the analysis. Results. We find that the emission-line source classifications given by DR3 is in reasonable agreement with the classification from the LAMOST OBA emission catalogue. The astrophysical parameters estimated by the esphs module from Gaia DR3 provides a better estimate when compared to gspphot and gspspec. A second degree polynomial relation is provided along with piece-wise linear fit parameters for the equivalent width conversion. We notice that the LAMOST stars with weak H? emission are not identified to be in emission from BP/RP spectra. This suggests that emission-line sources identified by Gaia DR3 are incomplete. In addition, Gaia DR3 provides valuable information about the binary and variable nature of a sample of emission-line stars. 2022 EDP Sciences. All rights reserved. -
Sampling and Categorization of Households for Research in Urban India
Conventional sampling methodologies for citizens/households in urban research in India are constrained due to the lack of readily available, reliable sampling frames. Voter lists, for example, are riddled with errors and, as such may not be able to provide a robust sampling frame from which a representative sample can be drawn. The JanaBrown Citizenship Index project consortium (Janaagraha, India; Brown University, USA) has conceptualized a unique research design that provides an alternative way on how to identify, categorize and sample households (and citizens within) in a city in a representative and meaningful way. The consortium consists of the Janaagraha Centre for Citizenship and Democracy, based in India, and the Brown Center for Contemporary South Asia, part of Brown University, USA. The methodology was designed to enable systematic data collection from citizens and households on aspects of citizenship, infrastructure and service delivery across different demographic sections of society. The article describes how (a) data on communities that are in the minority, such as Muslims, scheduled castes (SC) and scheduled tribes (ST), were used to categorize Polling Parts to allow for stratified random sampling using these strata, (b) geospatial tools such as QGIS and Google Earth were used to create base maps aligning to the established Polling Part unit, (c) the resulting maps were used to create listings of buildings, (d) how housing type categorizations were created (based on the structure/construction material/amenities, etc.) and comprised part of the building listing process, and (e) how the listings were used for sampling and to create population weights where necessary. This article describes these methodological approaches in the context of the project while highlighting advantages and challenges in application to urban research in India more generally. 2022 Lokniti, Centre For The Study Of Developing Societies. -
Anchored ferrocene based heterogeneous electrocatalyst for the synthesis of benzimidazoles
A facile and sustainable electrochemical synthetic strategy for phenyl benzimidazoles has been developed using a ferrocene-based electrocatalyst anchored on Toray carbon paper (TCP) coated with conducting polymeric film. The developed electrode was used for the electrochemical dehydrogenative cyclization reaction of o-phenylene diamine and benzaldehyde using lithium perchlorate/acetonitrile as electrolyte. The surface characteristic properties of the developed electrode were characterized by FESEM, Optical profilometer and X-ray photoelectron spectroscopy. Electron transfer mechanism of the anchored ferrocene-based electrocatalyst was thoroughly studied. To determine the efficacy of the catalyst, the electron transfer coefficient (0.5) and apparent rate constant 41.4 s?1 were determined. The cyclic voltammetry studies reveal that the electrochemical oxidation peak for the synthesis of benzimidazole occurs at 0.48 V. The formation of the product was confirmed by Gas chromatography and Nuclear Magnetic Resonance spectroscopy. A comparison chart is presented for the green metrics and sustainability of the present strategy with other electrochemical approach. 2022 Elsevier Ltd -
Study of correlation between optical flux and polarization variations in BL Lac objects
Polarized radiation from blazars is one key piece of evidence for synchrotron radiation at low energy, which also shows variations. We present here our results on the correlation analysis between optical flux and polarization degree (PD) variations in a sample of 11 BL Lac objects using ?10 yr of data from the Steward Observatory. We carried out the analysis on long-term (?several months) as well as on short-term time-scales (?several days). On long-term time-scales, for about 85 per cent of the observing cycles, we found no correlation between optical flux and PD. On short-term time-scales, we found a total of 58 epochs with a significant correlation between optical flux and PD, where both positive and negative correlation were observed. In addition, we also found a significant correlation between optical flux and ?-ray flux variations on long-term time-scales in 11 per cent of the observing cycles. The observed PD variations in our study cannot be explained by changes in the power-law spectral index of the relativistic electrons in the jets. The shock-in-jet scenario is favoured for the correlation between optical flux and PD, whereas the anticorrelation can be explained by the presence of multizone emission regions. The varying correlated behaviour can also be explained by the enhanced optical flux caused by the newly developed radio knots in the jets and their magnetic field alignment with the large-scale jet magnetic field. 2022 The Author(s). -
In-silico validation of novel therapeutic activities of withaferin a using molecular docking and dynamics studies
Withaferin A is a bioactive molecule of W. somnifera. We access its efficacy against various target proteins associated with Cancer, Type-II Diabetes and hypercholesterolemia using molecular docking. Although its efficacy against some of these targets have been reported earlier, we validate each mechanism in order to report the most appropriate mechanism of action. We explain the anti-cancer activity of Withaferin A by inhibition of Mortalin (mtHsp70) and Nrf2 protein with binding energies ?8.85 kcal/mol and ?12.59 kcal/mol respectively. Similarly, the anti-diabetic activity could be explained by inhibition of alpha and bet?-glucosidase with binding energies ?6.44 and ?4.43 kcal/mol respectively and the cholesterol reduction could be explained by its ability to inhibition of NPC1 and SRB1 with binding energies ?5.73 and ?7.16 kcal/mol respectively. The molecular dynamics of the apoprotein and the protein-ligand complex simulated for the best targets of each activity namely Nrf2 protein for anti-cancer, ?-glucosidase for anti-diabetic and SR-B1 for anti-hypercholesterolemia activity indicated the formation of stable complexes due to low RMSD deviations, low RMSF fluctuations and low RG values after the docking simulation. Finally, an ADME + T (Adsorption, distribution, metabolism, excretion and toxicity) prediction on Withaferin A showed that it obeyed all the Lipinskys rules and qualified the drug-like criteria. All these results validate that Withaferin A possess potential anti-cancer, anti-diabetic and cholesterol reducing properties. This is the first report that indicates the possibility of Withaferin A binding and inhibiting SR-B1 as a mechanism of its anti-hypercholesterolemia activity. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Effect of tungsten oxide thin films deposited on cerium oxide nano rods for electrochromic applications
Cerium oxide Nanorods were synthesized on Fluorine-doped Tin Oxide (FTO) coated glass substrate by hydrothermal process. Optimized Tungsten Oxide (WO3) films were coated on the top of cerium oxide (CeO2) Nanorods by a sputter deposition method. WO3 thin film was deposited at a constant substrate temperature of 300K under partial pressures of oxygen (ppo2) at 8 10?4 mbar. X-ray Diffraction (XRD), Scanning Electron Microscope (SEM), UVVisible spectrometer, and cyclic voltammetry were used to analyse the films for material, optical, surface, and electrochemical properties. The improved CeO2/WO3 films increased the cathodic peak current which is related to their high active surface area and increased H+ ions intercalation in the films. In addition, the CeO2 Nanorods/WO3 hybrid films had a better electrochemical property in terms of the diffusion coefficient of 5.53 10?8 cm2/s. These structures produce considerable coloration efficiency when compared to pure WO3 (9.88, 10.19 and, 8.14 cm2/C at 700 nm). This study predicts that how varying concentrations of cerium oxide Nano rods change WO3 electrochemical behaviour which will help to choose the right rare earth elements and concentrations for energy-efficient smart windows. 2022 -
Solvent polarity, structural and electronic properties with different solvents and biological studies of 3,3,5-triphenylfuran-2(3H)-one- cancers of the blood cells
The current work comprises synthesis, characterization and computational evaluation on 3,3,5-triphenylfuran-2(3H)-one with density functional theory (DFT) as the underlying principle. The theoretical optimized structure and corresponding geometrical parameters were obtained. Multiwfn 3. 8 was employed to conduct topological investigations such as R D G, E L F, L O L, and charge transfer analyses, which are used to identify the excited states, non-covalent interactions and important bonding regions in the molecule. Effect of solvents on the variation in molecular properties were studied with different polar solvents, with the IEFPCM model, as furanones interact with more polar solvents. The solvation studies were shown to impact on F M O, UV, M E P, and NLO analysis and thus between gas and solvent phases, a variation is observed in the properties under study. N B O studies were analysed to identify the natural bond orbitals within the molecule that contribute the maximum to the stabilization energy of the title compound. Pharmacological evaluation using readily available online tools that include SwissADME, Pre-ADMET, GUSAR, and ADMETLab 2.0 to determine the medicinal chemistry properties of the molecule was done. Furthermore, molecular docking onto chosen anticancer protein targets is performed utilising the softwares AutoDock Suite. PyMOL,and Discovery Studio Visualizer, is used to determine the best docked conformations that suggest potential capability of the compound to inhibit these proteins and protect the body from cancerous growths. 2022 Elsevier B.V. -
AI-Based Yolo V4 Intelligent Traffic Light Control System
With the growing number of city vehicles, traffic management is becoming a persistent challenge. Traffic bottlenecks cause significant disturbances in our everyday lives and raise stress levels, negatively impacting the environment by increasing carbon emissions. Due to the population increase, megacities are experiencing severe challenges and significant delays in their day-to-day activities related to transportation. An intelligent traffic management system is required to assess traffic density regularly and take appropriate action. Even though separate lanes are available for various vehicle types, wait times for commuters at traffic signal points are not reduced. The proposed methodology employs artificial intelligence to collect live images from signals to address this issue in the current system. This approach calculates traffic density, utilizing the image processing technique YOLOv4 for effective traffic congestion management. The YOLOv4 algorithm produces better accuracy in the detection of multiple vehicles. Intelligent monitoring technology uses a signal-switching algorithm at signal intersections to coordinate time distribution and alleviate traffic congestion, resulting in shorter vehicle waiting times. 2022 Boppuru Rudra Prathap et al., published by Sciendo. -
Brand Value: Nexus with Profitability and Value Relevance Indian Evidence
The paper studied the association between brand value and financial profitability metrics, value relevance, and excess market returns. The study used the dollar value data of BrandZ Top Indian Brands as the proxy for brand value and used 221 firm years for a sample of 72 companies that owned the top brands for 5 years, from 2014 2018. The study deployed the fixed effects model to find the association between profitability, firm value, and brand value and the Fama French four-factor model for the risk-return performance of high-brand value stocks. The findings indicated a strong association between the brand values of firms and profitability and firm value. The portfolio returns of high-brand value companies produced higher risk-adjusted returns over market returns offered by BSE 100 stocks. This is Indias first and most comprehensive study to provide empirical evidence on the nexus between brand value, profitability, and value relevance. The results gave a concrete conclusion that building brand value offers both customer satisfaction as well as shareholder value creation. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Experimental investigation of Glass Laminate Aluminium Reinforced Epoxy characteristics influences through low velocity impact test
The fibre being one of the recently implemented advanced materials in distinctive applications is being reinforced with metals to constitute a unique composite laminate. This reinforcement will enhance the sustenance property of the laminate used in automotive sectors. In most automotive sectors, drop weight analysis at varying velocity ranges is performed to evaluate the damage characteristics of the vehicle body. Hence, the present work leads us through the study on influence of low-velocity impact at varying heights over the Glass Laminate Aluminium-Reinforced Epoxy (GLARE) laminate characteristics. Here, the laminate of constant thickness was subjected to drop weight impact. Three distinct thicknesses of (0.2, 0.3 and 0.4 mm) Al-2024 T3 aluminium alloy were used. The results indicate that laminate can sustain up to critical load in terms of impact velocity as 3.13 m/s, and beyond which, it leads to delamination damage at 3.49 m/s. The above results indicate that the maximum absorbed energy by the laminate before catastrophic failure (crack) was noticed to be 14.43 J in the case of sample B. Further, it is noticed that GLARE laminate with 0.3 mm face sheet thickness has best results with reference to both absorbed energy and damage when compared with other thicknesses. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Synthesis, characterizations, and electrochromic studies of WO3 coated CeO2 nanorod thin films for smart window applications
In this work, Cerium oxide nanorods were synthesized on Fluorine doped Tin oxide (FTO) substrate by a hydrothermal technique involving Ce(NO3)36H2O (Cerium Nitrate Hexahydrate) and CH4N2O (Urea). The DC magnetron sputtering was used to deposit a thin layer of WO3 on Cerium Oxide nanorods in the presence of argon gas at room temperature. With the prepared CeO2/WO3 thin films as the working electrode, saturated AgCl2 as the reference electrode, and platinum mesh as the counter electrode, a three-electrode electrochemical cell was developed with 0.5 M H2SO4 solution diluted in deionized (DI) water as the electrolyte. The electrochromic studies displayed a coloration efficiency of 10.14 cm2/C for 0.1 M film. SEM, UVVisible, XRD, and electrochemical analyzer were used to investigate the surface morphology, optical properties, composition, and electrochromic performance of the prepared thin films. A combination of CeO2 nanorods and WO3 coating has been proved to be a potential material for Electro Chromic Devices (ECD), because of its large charge capacity and optical transmission behavior. 2022 Elsevier B.V. -
Wireless Network Security Using Load Balanced Mobile Sink Technique
Real-time applications based on Wireless Sensor Network (WSN) technologies are quickly increasing due to intelligent surroundings. Among the most significant resources in the WSN are battery power and security. Clustering stra-tegies improve the power factor and secure the WSN environment. It takes more electricity to forward data in a WSN. Though numerous clustering methods have been developed to provide energy consumption, there is indeed a risk of unequal load balancing, resulting in a decrease in the networks lifetime due to network inequalities and less security. These possibilities arise due to the cluster heads limited life span. These cluster heads (CH) are in charge of all activities and control intra-cluster and inter-cluster interactions. The proposed method uses Lifetime centric load balancing mechanisms (LCLBM) and Cluster-based energy optimization using a mobile sink algorithm (CEOMS). LCLBM emphasizes the selection of CH, system architectures, and optimal distribution of CH. In addition, the LCLBM was added with an assistant cluster head (ACH) for load balancing. Power consumption, communications latency, the frequency of failing nodes, high security, and one-way delay are essential variables to consider while evaluating LCLBM. CEOMS will choose a cluster leader based on the influence of the fol-lowing parameters on the energy balance of WSNs. According to simulated find-ings, the suggested LCLBM-CEOMS method increases cluster head selection self-adaptability, improves the networks lifetime, decreases data latency, and bal-ances network capacity. 2023, Tech Science Press. All rights reserved. -
Exploring the Digital Revolution in Education in India during the COVID-19 Pandemic
One important response to COVID-19 was the intensification of the use of digital media to deliver education. However, the results are paradoxical, since the digital revolution did not lead to improvement of the social quality of teachers working circumstances. We ana-lyze internal or subjective oriented constitutional and external or objective orientated conditional factors related to teachers that determine the adaptation of digitalization, taking a social quality perspective. Through a case study in the most advanced educational hub of IndiaDelhiwe find that the digital revolution helped India to address the first-order problems in digital transformation, namely concerning objective infrastructural facilities. The second-order problems, particularly changing the subjective belief structures of teachers related to the integration of technologies, appear to remain a challenge. As India has recently adopted a new education policy (2020), the findings of our study have significant relevance to improving the accessibility and utilization of digital technology in educational spaces. The Author(s).