Repression and Resistance in Dalit Feminist Literature

Feminist movements and Dalit feminist movement in India are mainly based on the experience of Repression and gender discrimination. Patriarchy, gender disparity and sexual violence are the basic reasons for these movements and they also find place prominently in the writings of Dalit women as they have come forward to write their experiences from women's point of view around 1980s. Baby Kamble, Urmila Pawar in Marathi, Geeta Nagabhushan in Kannada, P. Shivakami, Bama in Tamil have got national level consideration. Dalit women were raped; insulted and abused by the upper caste people. They are insecure in the society as they have been exploited on the various levels. This feeling of insecurity of the Dalit women is the central theme of their writings. These women writers have come forward to express their ideas, their experiences in social violence as well as in domestic violence and thus they protest their traditional existence with anger and anguish. Geeta Nagabhushan’s dalit novels, Barna’s Sangati (2005), P. Shivakani's Grip of Change (2006) are initial important writings of dalit feminism; Datit feminism writing is different from the conventional way of Feminist writing. Their experiences, expression, method of narration are extremely different from the upper caste women writers. It is found that every woman in the world has been degraded to second grade citizenship. The Dalit women in India suffer more due to their Dalit identity

Design and Analysis of a Composite Monocoque for Structural Performance : a Comprehensive Approach

Indiana University-Purdue University Indianapolis (IUPUI)Lately numerous studies have been performed to design composite monocoques with high strength and low weight for various student level racing contests. The objective of this paper is to develop an insightful methodology to design and de veloped a light-weight composite monocoque. The monocoque is designed to pass the mandatory static load tests laid down by the International Automobile Feder ation (FIA)Formula 3. These Formula 3 tests are considered the baseline of the desired structural integrity of the composite monocoque. The presented design tech nique emphasises on a monocoque developed for Sports Car Club of America (SCCA) races. The three standard load tests performed on the monocoque are Survival Cell Side test, Fuel Tank test and Side Intrusion test. A sandwich layup of bi-directional woven carbon/epoxy prepreg and aluminium honeycomb is optimized for minimum weight while predicting the unknown properties of layup and ensuring the mono coque doesnt experience failure. The approach intends to achieve minimum weight with high torsional rigidity and is capable of being used for the design and analysis of any kind of formula type composite monocoque

Intelligent Transportation Systems: Fusing Computer Vision and Sensor Networks for Traffic Management

Intelligent Transportation Systems (ITS) represent a pivotal approach to addressing the complex challenges posed by modern-day urban mobility. By seamlessly integrating computer vision and sensor networks, ITS offer a comprehensive solution for traffic management, safety enhancement, and environmental sustainability. This paper delves into the synergistic fusion of computer vision and sensor networks within the framework of ITS, emphasizing their collective role in optimizing traffic flow, mitigating congestion, and enhancing overall road safety. Leveraging cutting-edge technologies such as machine learning, image processing, and Internet of Things (IoT), ITS harness real-time data acquisition and analytics capabilities to facilitate informed decision-making by transportation authorities. Through a comprehensive review of recent advancements, challenges, and opportunities, this paper illuminates the transformative potential of integrating computer vision and sensor networks in ITS. Furthermore, it presents compelling case studies and exemplary applications, showcasing the tangible benefits of this fusion across diverse traffic management scenarios. Ultimately, this paper advocates for the widespread adoption of integrated ITS solutions as a means to usher in a new era of smarter, safer, and more sustainable urban transportation systems

Deep Learning for Dense Interpretation of Video: Survey of Various Approach, Challenges, Datasets and Metrics

Video interpretation has garnered considerable attention in computer vision and natural language processing fields due to the rapid expansion of video data and the increasing demand for various applications such as intelligent video search, automated video subtitling, and assistance for visually impaired individuals. However, video interpretation presents greater challenges due to the inclusion of both temporal and spatial information within the video. While deep learning models for images, text, and audio have made significant progress, efforts have recently been focused on developing deep networks for video interpretation. A thorough evaluation of current research is necessary to provide insights for future endeavors, considering the myriad techniques, datasets, features, and evaluation criteria available in the video domain. This study offers a survey of recent advancements in deep learning for dense video interpretation, addressing various datasets and the challenges they present, as well as key features in video interpretation. Additionally, it provides a comprehensive overview of the latest deep learning models in video interpretation, which have been instrumental in activity identification and video description or captioning. The paper compares the performance of several deep learning models in this field based on specific metrics. Finally, the study summarizes future trends and directions in video interpretation

Synthesis and anti-inflammatory and antimicrobial activities of some novel 2-methylquinazolin-4(3H)-one derivatives bearing urea, thiourea and sulphonamide functionalities

AbstractA variety of novel 2-methylquinazolin-4(3H)-one derivatives (1–29) bearing urea, thiourea and sulphonamide functionalities at position 3 of biological interest have been synthesized and screened for their anti-inflammatory (TNF-α and IL-6) and antimicrobial activities (antibacterial and antifungal). “Biological evaluation study revealed that the compounds 3, 4, 6, 9, 16 and 18 were found to have promising anti-inflammatory activity (up to 62–84% TNF-α and 73–92% IL-6 inhibitory activity) at concentration of 10μM with reference to standard dexamethasone (75% TNF-α and 84% IL-6 inhibitory activities at 1μM) and 7, 10, 12, 23, 25 and 28 have antimicrobial activity at MIC of 10–30μg/mL against selected pathogenic bacteria and fungi.

A Smart Browsing System with Colour Image Enhancement for Surveillance Videos

Surveillance cameras have been widely installed in large cities to monitor and record human activities for different applications. Since surveillance cameras often record all events 24 hours/day, it necessarily takes huge workforce watching surveillance videos to search for specific targets, thus a system that helps the user quickly look for targets of interest is highly demanded. This paper proposes a smart surveillance video browsing system with colour image enhancement. The basic idea is to collect all of moving objects which carry the most significant information in surveillance videos to construct a corresponding compact video by tuning positions of these moving objects. The compact video rearranges the spatiotemporal coordinates of moving objects to enhance the compression, but the temporal relationships among moving objects are still kept. The compact video can preserve the essential activities involved in the original surveillance video. This paper presents the details of browsing system and the approach to producing the compact video from a source surveillance video. At the end we will get the compact video with high resolution. DOI: 10.17762/ijritcc2321-8169.15038

Spin-charge and spin-orbital coupling effects on spin dynamics in ferromagnetic manganites

Correlation-induced spin-charge and spin-orbital coupling effects on spin dynamics in ferromagnetic manganites are calculated with realistic parameters in order to provide a quantitative comparison with experimental results for spin stiffness, magnon dispersion, magnon damping, anomalous zone-boundary magnon softening, and Curie temperature. The role of orbital degeneracy, orbital ordering, and orbital correlations on spin dynamics in different doping regimes is highlighted.Comment: 19 pages, 9 figure

Preparation Of Mixed Ligand Complexes Of Cerium (III) Metal Using Multidentate Ligands And Investigation Of Their Physicochemical, Spectral, Thermal, And Antibacterial Properties.

This study involves the synthesis and characterization of Cerium (III) Mixed-ligand complexes employing 2-hydroxybenzaldehyde oxime (BO) as the primary ligand and organic compounds 2-amino-3-(1H-indol-3-yl)propanoic acid (L1) , 2-amino-4-(methylthio)butanoic acid  (L2) , 2-amino-3-(4-hydroxyphenyl)propanoic acid  (L3) ,  2-Amino-3-sulfhydrylpropanoic acid  (L4) as secondary ligands. The resulting complexes exhibit a brown color and display stability, as evidenced by conductometric measurements indicating non-electrolyte behavior. FTIR analysis reveals coordination through O and N donor atoms, while thermogravimetric studies highlight stability with coordinated water molecules, supported by high decomposition temperatures. UV studies demonstrate intra-ligand and ligand-to-metal charge transfer transitions. Elemental analysis confirms a 1:2:1 ratio for the complexes. Antibacterial assays using agar cup and tube dilution methods affirm the complexes' antibacterial activity against specific bacterial strains

"Evaluation of The Public's Recognition, Approval, And Perspectives On Renewable Energy In Panvel"

This study addresses the critical role of public sentiment in shaping energy portfolios and policies, with a focus on the often-neglected grassroots perspectives in developing nations. Conducted in Panvel, the research surveyed 1000 respondents from urban and rural areas, revealing strong approval (73%) for renewable energy technologies and a widespread belief (91%) in their potential to reduce electricity costs. Emphasizing the need for a more inclusive energy policy approach, the study highlights a high level of awareness (69.5%) among Panvel residents. The findings underscore the importance of understanding public attitudes to inform effective and democratic energy policy formulation, shedding light on the significance of a holistic approach that considers both urban and rural perspectives. &nbsp