results 1-12 of 557
Development Of Multi-Slave 12C Controller For Pipeline Inspection
28/02/2024
Inventors: Dr. Vipin Kizheppatt
The development of a multi-slave I2C (Inter-Integrated Circuit) controller for pipeline inspection involves creating a robust communication system for coordinating multiple devices along a pipeline inspection robot. This controller manages data exchange between the main control unit and various sensor modules or inspection tools attached to the robot. It ensures...
The development of a multi-slave I2C (Inter-Integrated Circuit) controller for pipeline inspection involves creating a robust communication system for coordinating multiple devices along a pipeline inspection robot. This controller manages data exchange between the main control unit and various sensor modules or inspection tools attached to the robot. It ensures synchronized operation, efficient data transmission, and real-time feedback from each sensor or tool. Key aspects include designing a reliable communication protocol, optimizing data throughput, and integrating fault tolerance mechanisms to handle communication disruptions in challenging pipeline environments. This development aims to enhance inspection accuracy, reliability, and efficiency while ensuring seamless integration of multiple inspection devices. (EEE)
Development Of Bio-Based Antioxidant For Application In Tire Rubber Compounds-A Sustainable Material
09/08/2023
Inventors: Dr. S D Manjare
The development of bio-based antioxidants for application in tire rubber compounds represents a sustainable approach to enhancing material performance. These antioxidants, derived from renewable sources such as plant extracts or bio-based polymers, aim to replace traditional petroleum-based additives. They protect rubber from degradation caused by oxidation, thereby extending tire lifespan...
The development of bio-based antioxidants for application in tire rubber compounds represents a sustainable approach to enhancing material performance. These antioxidants, derived from renewable sources such as plant extracts or bio-based polymers, aim to replace traditional petroleum-based additives. They protect rubber from degradation caused by oxidation, thereby extending tire lifespan and improving safety. By reducing dependency on fossil fuels and lowering environmental impact, bio-based antioxidants contribute to sustainable tire manufacturing practices. Research focuses on optimizing antioxidant effectiveness, compatibility with rubber formulations, and scalability for industrial production, aiming to promote eco-friendly alternatives in the automotive industry while maintaining performance standards. (Chemical Engineering)
Networked Marine Robotic Systems for Ocean Exploration
29/04/2024
Inventors: Dr. Sarang Chandrashekhar Dhongdi, Prof. Narayan Suresh Manjarekar
Networked marine robotic systems for ocean exploration involve interconnected autonomous vehicles collaborating to explore and study marine environments comprehensively. These systems integrate various types of robots such as underwater gliders, autonomous surface vessels, and remotely operated vehicles (ROVs), each equipped with sensors for mapping, sampling, and data collection. By leveraging...
Networked marine robotic systems for ocean exploration involve interconnected autonomous vehicles collaborating to explore and study marine environments comprehensively. These systems integrate various types of robots such as underwater gliders, autonomous surface vessels, and remotely operated vehicles (ROVs), each equipped with sensors for mapping, sampling, and data collection. By leveraging communication networks and advanced control algorithms, these systems coordinate tasks efficiently, optimize route planning, and share real-time data. This approach enhances scientific research capabilities, enabling researchers to study oceanographic phenomena, marine biodiversity, and climate change impacts with greater spatial and temporal resolution. Networked marine robotic systems play a crucial role in advancing ocean exploration and understanding global marine ecosystems.(EEE)
Deciphering The Molecular Circuits Of Seed Weight Regulation For Improved Plant Productivity
29/04/2024
Inventors: Dr. Rajesh Mehrotra, Prof. Sandhya Mehrotra
Deciphering the molecular circuits of seed weight regulation aims to unravel the genetic and biochemical pathways that influence plant productivity. This research delves into the intricate mechanisms controlling seed development, focusing on factors such as hormone signaling, gene expression patterns, and metabolic pathways involved in seed weight determination. By identifying...
Deciphering the molecular circuits of seed weight regulation aims to unravel the genetic and biochemical pathways that influence plant productivity. This research delves into the intricate mechanisms controlling seed development, focusing on factors such as hormone signaling, gene expression patterns, and metabolic pathways involved in seed weight determination. By identifying key regulators and their interactions, scientists aim to enhance crop yields through genetic manipulation and targeted breeding programs. Understanding these molecular circuits facilitates the development of resilient crop varieties capable of producing larger, more nutritious seeds, ultimately advancing global food security and sustainable agriculture practices. (Biological Science)
Capacity Building for Informing Climate Action- Agriculture, Forestry and other Land Uses
26/04/2024
Inventors: Dr. Rajiv Kumar Chaturvedi
Capacity building for informing climate action in agriculture, forestry, and other land uses focuses on empowering stakeholders with knowledge and skills to mitigate climate change impacts. This includes training programs, workshops, and knowledge sharing initiatives aimed at enhancing understanding of sustainable practices, carbon sequestration techniques, and resilience-building strategies. By fostering...
Capacity building for informing climate action in agriculture, forestry, and other land uses focuses on empowering stakeholders with knowledge and skills to mitigate climate change impacts. This includes training programs, workshops, and knowledge sharing initiatives aimed at enhancing understanding of sustainable practices, carbon sequestration techniques, and resilience-building strategies. By fostering expertise in climate-smart agriculture, sustainable forestry management, and land-use planning, capacity building supports effective policy implementation and community engagement. It equips individuals and organizations with tools to adapt to climate variability, reduce greenhouse gas emissions, and promote biodiversity conservation, contributing to global efforts in climate mitigation and adaptation.
(Humanities & Social Sciences)
Autonomous Measurement And Tracking Of Deep-Sea Plumes Using Swarm Of Heterogenous Underwater Vehicles
22/04/2024
Inventors: Dr. Sarang Chandrashekhar Dhongdi, Pramod Kumar Maurya (CSIR-NIO, Goa)
Autonomous measurement and tracking of deep-sea plumes using a swarm of heterogeneous underwater vehicles involves deploying a network of robots with diverse capabilities. These vehicles collaborate to monitor and map underwater plumes, such as oil spills or hydrothermal vents, autonomously navigating in challenging deep-sea environments. By integrating sensors for chemical...
Autonomous measurement and tracking of deep-sea plumes using a swarm of heterogeneous underwater vehicles involves deploying a network of robots with diverse capabilities. These vehicles collaborate to monitor and map underwater plumes, such as oil spills or hydrothermal vents, autonomously navigating in challenging deep-sea environments. By integrating sensors for chemical detection, sonar for mapping, and communication systems for real-time data transmission, the swarm optimizes coverage and accuracy. Advanced algorithms manage vehicle coordination, path planning, and data fusion to provide comprehensive spatial and temporal insights into plume dynamics. This technology enhances environmental monitoring and response capabilities, crucial for oceanographic research and disaster management. (EEE)
Thermal Analysis of a Wax Heating System
22/04/2024
Inventors: Nilesh Pawar
Thermal analysis of a wax heating system involves evaluating heat transfer processes and performance characteristics. This includes studying factors such as heat conduction through the wax material, thermal conductivity of surrounding components, and energy efficiency during heating and cooling cycles. Analysis methods may include computational simulations to model temperature distribution...
Thermal analysis of a wax heating system involves evaluating heat transfer processes and performance characteristics. This includes studying factors such as heat conduction through the wax material, thermal conductivity of surrounding components, and energy efficiency during heating and cooling cycles. Analysis methods may include computational simulations to model temperature distribution and thermal gradients within the system. By optimizing insulation, heating elements, and temperature control mechanisms, engineers aim to enhance system reliability and efficiency. This thermal analysis supports the design and refinement of wax heating systems for applications ranging from industrial processes to consumer products like wax heaters for hair removal. (Mechanical Engineering)
Expression analysis of TrxRi and LGR5 and its Downstream Targets in Oral Squamous cell carcinoma by Radio-Sensitization with Piperlongumine in Vitro and Ex Vivo
24/04/2024
Inventors: Prof. Vijayashree Nayak, Prof. Vamsi Krishna Venuganti
Expression analysis of TrxR1 and LGR5 and their downstream targets in oral squamous cell carcinoma focuses on assessing changes induced by Piperlongumine-mediated radiosensitization in vitro and ex vivo. This study aims to elucidate molecular mechanisms underlying enhanced radiosensitivity in cancer cells, potentially involving oxidative stress modulation and stem cell marker...
Expression analysis of TrxR1 and LGR5 and their downstream targets in oral squamous cell carcinoma focuses on assessing changes induced by Piperlongumine-mediated radiosensitization in vitro and ex vivo. This study aims to elucidate molecular mechanisms underlying enhanced radiosensitivity in cancer cells, potentially involving oxidative stress modulation and stem cell marker regulation. By analyzing TrxR1 and LGR5 expression patterns and downstream signaling pathways, researchers seek to identify therapeutic targets and biomarkers for improving treatment outcomes in oral cancer. This approach integrates laboratory-based experiments with clinical relevance, aiming to advance personalized therapies and enhance efficacy in radiotherapy for oral squamous cell carcinoma. (Biological Science)
Chanakya Doctoral Fellowship (support to Dharamraj R- Ph.D Student)
29/03/2024
Inventors: Dr. Radhika Vathsan
The Chanakya Doctoral Fellowship supports Dharamraj R, a PhD student, in his academic pursuits. This fellowship provides financial assistance and resources to facilitate Dharamraj's research and studies. It aims to foster scholarly excellence and innovation in Dharamraj's chosen field of study, contributing to advancements in academia and research. The fellowship...
The Chanakya Doctoral Fellowship supports Dharamraj R, a PhD student, in his academic pursuits. This fellowship provides financial assistance and resources to facilitate Dharamraj's research and studies. It aims to foster scholarly excellence and innovation in Dharamraj's chosen field of study, contributing to advancements in academia and research. The fellowship underscores a commitment to nurturing talent and promoting intellectual growth, enabling Dharamraj to make significant contributions to his academic discipline. Through this support, the fellowship aims to cultivate future leaders and scholars who will drive progress and innovation in their respective fields. (Physics)
Expanding the limits of Large Language Models for Reasoning and Generative Science
27/02/2024
Inventors: Dr. Tanmay Tulsidas Verlekar
Expanding the limits of large language models for reasoning and generative science involves advancing their capabilities in understanding context, generating coherent responses, and simulating complex scenarios. These models, like GPT-4, leverage vast datasets and deep learning architectures to improve reasoning abilities and generate insightful scientific hypotheses. By enhancing contextual understanding...
Expanding the limits of large language models for reasoning and generative science involves advancing their capabilities in understanding context, generating coherent responses, and simulating complex scenarios. These models, like GPT-4, leverage vast datasets and deep learning architectures to improve reasoning abilities and generate insightful scientific hypotheses. By enhancing contextual understanding and integrating domain-specific knowledge, they facilitate breakthroughs in scientific discovery, ranging from drug development to climate modeling. Innovations in model training and fine-tuning techniques continue to push the boundaries of what's possible, offering powerful tools for researchers and practitioners to explore and innovate in the realm of generative science. (CS&IS)
Expanding The Limits Of Perception, Reasoning And Efficiency With Modern Neural Networks
22/12/2023
Inventors: Dr. Tanmay Tulsidas Verlekar
Expanding the limits of perception, reasoning, and efficiency with modern neural networks involves leveraging advanced architectures like deep learning models. These networks utilize large-scale data to enhance accuracy in tasks such as image recognition, natural language processing, and decision-making. Techniques such as convolutional neural networks (CNNs) and transformers optimize computational...
Expanding the limits of perception, reasoning, and efficiency with modern neural networks involves leveraging advanced architectures like deep learning models. These networks utilize large-scale data to enhance accuracy in tasks such as image recognition, natural language processing, and decision-making. Techniques such as convolutional neural networks (CNNs) and transformers optimize computational efficiency and interpretability, pushing boundaries in AI applications. By integrating these innovations, neural networks achieve higher levels of performance in complex tasks, revolutionizing fields from healthcare diagnostics to autonomous systems, and driving forward the capabilities of artificial intelligence in diverse domains. (CS&IS)
A Target Guided Approach For Design Synthesis And Screening Of Host Directed Therapies For TB And Associated Metabolic Disorders (PCOS) In Women
14/02/2024
Inventors: Arnab Banerjee, Dr. K V G Chandra Sekhar
A target-guided approach for designing, synthesizing, and screening host-directed therapies for tuberculosis (TB) and associated metabolic disorders like polycystic ovary syndrome (PCOS) in women focuses on identifying specific molecular targets. This method integrates computational modeling, high-throughput screening, and medicinal chemistry to develop therapies that modulate host immune responses and metabolic...
A target-guided approach for designing, synthesizing, and screening host-directed therapies for tuberculosis (TB) and associated metabolic disorders like polycystic ovary syndrome (PCOS) in women focuses on identifying specific molecular targets. This method integrates computational modeling, high-throughput screening, and medicinal chemistry to develop therapies that modulate host immune responses and metabolic pathways affected by TB and PCOS. By targeting these specific pathways, researchers aim to enhance treatment efficacy, reduce side effects, and improve outcomes for patients. This innovative approach holds promise for advancing personalized medicine and addressing complex health challenges through tailored therapeutic interventions. (Biological Science)
An Institute of Eminence
