results 193-204 of 704
Developing Efficient Methods for Approximating Generalized Inverses of Tensors and Solving Multilinear Systems
26/09/2023
Inventors: Dr. Jajati Keshari Sahoo
Developing efficient methods for approximating generalized inverses of tensors and solving multilinear systems is crucial for various applications in data analysis, signal processing, and machine learning. One approach involves leveraging tensor decomposition techniques such as CP (CANDECOMP/PARAFAC) decomposition or Tucker decomposition to approximate tensor inverses. These methods reduce the computational...
Developing efficient methods for approximating generalized inverses of tensors and solving multilinear systems is crucial for various applications in data analysis, signal processing, and machine learning. One approach involves leveraging tensor decomposition techniques such as CP (CANDECOMP/PARAFAC) decomposition or Tucker decomposition to approximate tensor inverses. These methods reduce the computational complexity by decomposing high-dimensional tensors into lower-dimensional components, facilitating easier manipulation and inversion.
For solving multilinear systems, iterative methods like alternating least squares (ALS) or optimization-based approaches can be employed. These algorithms iteratively update tensor factors or variables to minimize a cost function, thereby solving the system efficiently. Additionally, regularization techniques and parallel computing can enhance computational efficiency and scalability in large-scale tensor operations.
Overall, combining tensor decomposition with iterative optimization methods and parallel computing offers a promising avenue for developing efficient algorithms to approximate tensor inverses and solve multilinear systems effectively. These advancements are essential for tackling complex problems in multidimensional data analysis and modeling. (Mathematics)
HEXR: Hybrid Explainable Robust Learning Framework to Reduce Annotation Overhead
26/09/2023
Inventors: Dr. Surjya Ghosh, Dr. Snehanshu Saha
HEXR, the Hybrid Explainable Robust Learning Framework, addresses the challenge of reducing annotation overhead in machine learning. It combines robust learning algorithms with explainable AI techniques to optimize model performance with minimal labeled data. By leveraging robust methods like adversarial training and domain adaptation, HEXR enhances model resilience against data...
HEXR, the Hybrid Explainable Robust Learning Framework, addresses the challenge of reducing annotation overhead in machine learning. It combines robust learning algorithms with explainable AI techniques to optimize model performance with minimal labeled data. By leveraging robust methods like adversarial training and domain adaptation, HEXR enhances model resilience against data perturbations and distribution shifts. Simultaneously, its explainable AI components provide insights into model decisions, improving transparency and trustworthiness. This hybrid approach not only lowers the annotation burden but also enhances the reliability and interpretability of machine learning models, making them suitable for practical applications where data annotation is costly or limited. (CS&IS)
Manipulation Of Particles In Mircochannels For Point Of Care Diagnostic Devices
26/09/2023
Inventors: Dr. Nilesh D. Pawar
Manipulating particles in microchannels for point-of-care diagnostic devices involves precise control techniques to enhance efficiency and accuracy. Utilizing principles like electrokinetics, magnetophoresis, and acoustic manipulation allows for sorting, concentrating, and detecting target particles within microfluidic systems. These techniques optimize sample handling, reducing processing times and improving sensitivity in detecting biomarkers...
Manipulating particles in microchannels for point-of-care diagnostic devices involves precise control techniques to enhance efficiency and accuracy. Utilizing principles like electrokinetics, magnetophoresis, and acoustic manipulation allows for sorting, concentrating, and detecting target particles within microfluidic systems. These techniques optimize sample handling, reducing processing times and improving sensitivity in detecting biomarkers or pathogens. Integration with microfabrication technologies enables miniaturized devices capable of rapid, portable diagnostics for various diseases. This manipulation capability in microchannels underpins advancements in point-of-care diagnostics, facilitating timely and reliable medical testing in diverse settings beyond traditional laboratory environments. (Mechanical Engineering)
To Conduct detailed Research and Development (R & D) study to achieve the on operating performance of Rotary Kiln in coke calcination process: Modeling and Simulation studies.
04/10/2023
Inventors: Dr. Amol Deshpande
Conducting detailed R&D on rotary kiln performance in coke calcination involves developing and validating sophisticated models using computational tools. These models simulate heat and mass transfer, chemical reactions, and airflow dynamics within the kiln. By optimizing parameters like temperature profiles and residence times, the study aims to enhance efficiency, reduce...
Conducting detailed R&D on rotary kiln performance in coke calcination involves developing and validating sophisticated models using computational tools. These models simulate heat and mass transfer, chemical reactions, and airflow dynamics within the kiln. By optimizing parameters like temperature profiles and residence times, the study aims to enhance efficiency, reduce energy consumption, and improve product quality. Insights gained from simulations inform operational adjustments and design optimizations, ensuring the rotary kiln operates optimally for coke calcination processes, crucial for industries reliant on precise thermal processing for high-quality output and operational efficiency. (Chemical Engineering)
Metrological And Optomechanical Advantage For Quantum Enhanced Fundamental Physics
20/12/2022
Inventors: Dr. Sanjib Dey
Metrological and optomechanical advantages in quantum-enhanced fundamental physics present groundbreaking opportunities. Quantum metrology exploits quantum states' precision to surpass classical limits in measuring physical quantities like time, frequency, and gravitational waves. Optomechanics merges light and mechanical motion, enhancing sensitivity in detecting minute forces and displacements. Together, these technologies propel advancements...
Metrological and optomechanical advantages in quantum-enhanced fundamental physics present groundbreaking opportunities. Quantum metrology exploits quantum states' precision to surpass classical limits in measuring physical quantities like time, frequency, and gravitational waves. Optomechanics merges light and mechanical motion, enhancing sensitivity in detecting minute forces and displacements. Together, these technologies propel advancements in probing fundamental physics phenomena such as gravitational wave detection with unprecedented sensitivity. Harnessing quantum-enhanced metrology and optomechanics promises transformative insights into gravitational theories, dark matter exploration, and quantum gravity. This synergy underscores a new frontier in understanding the universe's fundamental laws with unmatched precision and depth. (Physics)
Transcriptional Regulation of Human Telomerase (hTERT) by Chromatin Remodeling Protein SMARI
29/09/2023
Inventors: Dr. Samit Chattopadhyay, Dr. Angshuman Sarkar
The transcriptional regulation of human telomerase (hTERT) by the chromatin remodeling protein SMAR1 involves intricate molecular mechanisms. SMAR1, also known as SMAR1 (scaffold/matrix attachment region-binding protein 1), interacts with specific regions of chromatin associated with the hTERT gene. It modulates the chromatin structure, influencing the accessibility of transcription factors and...
The transcriptional regulation of human telomerase (hTERT) by the chromatin remodeling protein SMAR1 involves intricate molecular mechanisms. SMAR1, also known as SMAR1 (scaffold/matrix attachment region-binding protein 1), interacts with specific regions of chromatin associated with the hTERT gene. It modulates the chromatin structure, influencing the accessibility of transcription factors and RNA polymerase to the hTERT promoter. This regulation is crucial for controlling the expression of hTERT, which encodes the catalytic subunit of telomerase, a key enzyme in maintaining telomere length and cellular senescence. Understanding SMAR1's role in hTERT transcription provides insights into cellular aging, cancer development, and potential therapeutic strategies targeting telomerase activity. (Biological Science)
Quantum Information and Quantum Simulation with Trapped Rydberg Atoms : Gateway to a New Technological Era
12/09/2023
Inventors: Dr. Indrakshi Raychowdhury
Quantum information and quantum simulation utilizing trapped Rydberg atoms signify a transformative leap towards advanced technological capabilities. Trapped Rydberg atoms exhibit long coherence times and strong interactions, ideal for implementing quantum gates and simulating complex quantum systems. These atoms, manipulated through precise laser control, offer a platform to explore quantum...
Quantum information and quantum simulation utilizing trapped Rydberg atoms signify a transformative leap towards advanced technological capabilities. Trapped Rydberg atoms exhibit long coherence times and strong interactions, ideal for implementing quantum gates and simulating complex quantum systems. These atoms, manipulated through precise laser control, offer a platform to explore quantum phenomena beyond classical limits, promising breakthroughs in cryptography, computation, and precise sensing. Their potential spans from creating entangled states for secure communication to modeling materials and chemical reactions with unprecedented accuracy. Harnessing trapped Rydberg atoms thus opens pathways to innovate quantum technologies, paving the way for a new era of scientific and technological progress. (Physics)
Development of FPGA Based Image Processing IP Cores for Space Applications
20/09/2023
Inventors: Dr. Vipin Kizheppatt
The development of FPGA-based image processing IP cores for space applications involves designing and implementing hardware modules optimized for radiation tolerance, power efficiency, and reliability. Algorithms such as image compression and enhancement are implemented in RTL (Register Transfer Level) using HDLs like Verilog or VHDL. Rigorous testing ensures performance under...
The development of FPGA-based image processing IP cores for space applications involves designing and implementing hardware modules optimized for radiation tolerance, power efficiency, and reliability. Algorithms such as image compression and enhancement are implemented in RTL (Register Transfer Level) using HDLs like Verilog or VHDL. Rigorous testing ensures performance under simulated space conditions, with integration into larger systems or SoCs (System-on-Chip) for compatibility. Documentation adheres to space agency standards, validating functionality and radiation tolerance. Ongoing maintenance supports updates and optimization throughout the IP cores' lifecycle in space missions, crucial for robust performance in challenging environments. (EEE)
Developmental Immune Suppression and its Antiplasmodial Effects in Malaria Mosquito Anopheles stephensi
14/09/2023
Inventors: Dr. Tusar Tirtha Saha, Dr. Ajeet Mohanty
Developmental immune suppression in malaria mosquito Anopheles stephensi refers to the phenomenon where the mosquito's immune system is altered during its developmental stages, potentially affecting its ability to combat pathogens like Plasmodium, the malaria parasite. Studies indicate that certain developmental stages of Anopheles stephensi exhibit reduced immune responses, which may...
Developmental immune suppression in malaria mosquito Anopheles stephensi refers to the phenomenon where the mosquito's immune system is altered during its developmental stages, potentially affecting its ability to combat pathogens like Plasmodium, the malaria parasite. Studies indicate that certain developmental stages of Anopheles stephensi exhibit reduced immune responses, which may facilitate the survival and development of Plasmodium within the mosquito. This immune modulation could be crucial in understanding malaria transmission dynamics, as it highlights the interplay between mosquito immune function and parasite survival. Such insights are pivotal for developing novel strategies to disrupt malaria transmission cycles effectively. (Biological Science)
Development of a Therapeutic Bacteriophage Carrying the Phi11 Holin to Combat Drug Resistant Staphylococci Infection
26/09/2023
Inventors: Dr. Malabika Biswas, Dr. Sumit Biswas
This paper focuses on the ""Development of a Therapeutic Bacteriophage Carrying the Phi11 Holin to Combat Drug-Resistant Staphylococci Infection."" It explores the creation of a specialized bacteriophage engineered to carry the Phi11 holin gene, which targets and disrupts bacterial cell membranes. The study examines the bacteriophage's ability to effectively kill...
This paper focuses on the ""Development of a Therapeutic Bacteriophage Carrying the Phi11 Holin to Combat Drug-Resistant Staphylococci Infection."" It explores the creation of a specialized bacteriophage engineered to carry the Phi11 holin gene, which targets and disrupts bacterial cell membranes. The study examines the bacteriophage's ability to effectively kill drug-resistant Staphylococci, a significant challenge in treating bacterial infections. It covers the design, testing, and optimization of this therapeutic approach, aiming to provide a novel and effective solution for managing antibiotic-resistant infections and advancing the field of phage therapy. (Biological Science)
Novel Metal Complexes of Antiaromatic Norcorrols for Small Molecule Activation
04/09/2023
Inventors: Dr. Woormileela Sinha
This paper investigates "Novel Metal Complexes of Antiaromatic Norcorroles for Small Molecule Activation." It explores the development and application of metal complexes derived from antiaromatic norcorroles, a class of chemical compounds, for the activation of small molecules. The study focuses on the synthesis of these novel metal complexes, their structural...
This paper investigates "Novel Metal Complexes of Antiaromatic Norcorroles for Small Molecule Activation." It explores the development and application of metal complexes derived from antiaromatic norcorroles, a class of chemical compounds, for the activation of small molecules. The study focuses on the synthesis of these novel metal complexes, their structural characterization, and their efficacy in activating small molecules for various chemical reactions. The goal is to enhance understanding of norcorrole-based metal complexes' catalytic properties and their potential applications in fields such as industrial catalysis, environmental remediation, and synthetic chemistry. (Chemistry)
Value-Added Products From Cashew Apple And Its Pulp Wastes – An Economic Boost To Cashew Farmers
16/08/2023
Inventors: Dr. Vivek Rangarajan , Dr. S D Manjare
This paper explores ""Value-Added Products from Cashew Apple and Its Pulp Wastes: An Economic Boost to Cashew Farmers."" It focuses on the utilization of cashew apple and pulp waste—often considered by-products of cashew nut processing—for creating valuable products. The study investigates various techniques for converting these wastes into economically beneficial...
This paper explores ""Value-Added Products from Cashew Apple and Its Pulp Wastes: An Economic Boost to Cashew Farmers."" It focuses on the utilization of cashew apple and pulp waste—often considered by-products of cashew nut processing—for creating valuable products. The study investigates various techniques for converting these wastes into economically beneficial items, such as beverages, jams, and bioactive compounds. By highlighting the potential for waste valorization, the research aims to provide cashew farmers with additional revenue streams, reduce waste, and promote sustainable agricultural practices, ultimately contributing to the economic upliftment of farming communities. (Chemical Engineering)
