Institution
Defence Institute of Advanced Technology
Education•Pune, Maharashtra, India•
About: Defence Institute of Advanced Technology is a education organization based out in Pune, Maharashtra, India. It is known for research contribution in the topics: Microstrip antenna & Antenna (radio). The organization has 881 authors who have published 1640 publications receiving 20079 citations. The organization is also known as: Institute of Armament Technology.
Papers published on a yearly basis
Papers
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TL;DR: The antibacterial effect of silver nanoparticles used in this study was found to be far more potent than that described in the earlier reports and was more pronounced against gram-negative bacteria than gram-positive organisms.
Abstract: In the present study, we report the preparation of silver nanoparticles in the range of 10‐15 nm with increased stability and enhanced anti-bacterial potency. The morphology of the nanoparticles was characterized by transmission electron microscopy. The antibacterial effect of silver nanoparticles used in this study was found to be far more potent than that described in the earlier reports. This effect was dose dependent and was more pronounced against gram-negative bacteria than gram-positive organisms. Although bacterial cell lysis could be one of the reasons for the observed antibacterial property, nanoparticles also modulated the phosphotyrosine profile of putative bacterial peptides, which could thus affect bacterial signal transduction and inhibit the growth of the organisms.
1,507 citations
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TL;DR: A feedback linearization (FL)-based control law made implementable using an extended state observer (ESO) is proposed for the trajectory tracking control of a flexible-joint robotic system and the closed-loop stability of the system under the proposed observer-controller structure is established.
Abstract: In this paper, a feedback linearization (FL)-based control law made implementable using an extended state observer (ESO) is proposed for the trajectory tracking control of a flexible-joint robotic system. The FL-based controller cannot be implemented unless the full transformed state vector is available. The design also requires exact knowledge of the system model making the controller performance sensitive to uncertainties. To address these issues, an ESO is designed, which estimates the state vector, as well as the uncertainties in an integrated manner. The FL controller uses the states estimated by ESO, and the effect of uncertainties is compensated by augmenting the FL controller with the ESO-estimated uncertainties. The closed-loop stability of the system under the proposed observer-controller structure is established. The effectiveness of the ESO in the estimation of the states and uncertainties and the effectiveness of the FL + ESO controller in tracking are demonstrated through simulations. Lastly, the efficacy of the proposed approach is validated through experimentation on Quanser's flexible-joint module.
424 citations
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TL;DR: This review propounds specific processing itinerary for alginate in extrusion along with its pre-/during/post-processing parameters intrinsic to process and contemplates recently invented advance printing i.e. 4D printing for biotic species with its challenges and future opportunities.
Abstract: The dawn of 3D printing in medicals has pinned the domain with hopes of vitality in many patients combating with multitude of diseases. Also entitled as Bio-printing, this is appertained to its sequential printing of precursor ink, embodying cells and polymer/composite, in predetermined trajectory. Precursor ink, in addition to cells, constitutes predominantly hydrogels ascribed to its biodegradability and mimic ability of body's anatomy and mechanical features, e.g. bones, etc. This review paper is devoted to explicate bio-printing (3D/4D) of alginate hydrogels, which are the extract from brown algae, through extrusion additive manufacturing. Alginates are salt derivative of alginic acid and constitute long chain of polysaccharides, which furnishes pliability and gelling adeptness to its structure. Alginate hydrogel (employed for extrusion) can be pristine or composite relying on the requisite properties (target application controlled or in-vivo environment) e.g. Alginate-natural (gelatin/agarose/collagen/hyaluronic acid/etc.) and Alginate-synthetic (polyethylene glycol (PEG)/pluronic F127/etc.). Extrusion additive manufacturing of Alginate is preponderate among others with its uncomplicated processing, material efficiency (cut down on wastage), and outspread adaptability for viscosities (0.03-6*104 Pa.s) but the procedure is limited by resolution(200 ?m) in addition to accuracy. However, 3D-fabricated bio-structures display rigidness (unvarying with conditions) that lacks smart response which is reassured by accounting time feature as noteworthy accessory to printing, interpreting as 4D Bio-printing. This review propounds specific processing itinerary for alginate (meanwhile traversing across its composites/blends with natural and synthetic consideration) in extrusion along with its pre-/during/post-processing parameters intrinsic to process. Furthermore, propensity is also presented in its (Alginate extrusion processing) application for tissue engineering, i.e. bones, cartilage (joints), brain (neural), ear, heart (cardiac), eyes (corneal), etc. due to worldwide quandary over accessibility to natural organs for diverse kinds of diseases. Additionally, the review contemplates recently invented advance printing i.e. 4D printing for biotic species with its challenges and future opportunities.
300 citations
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TL;DR: In this article, three capping agents, triethanolamine (TEA), oleic acid and thioglycerol, were used and the effect of concentrations was analyzed for their effectiveness in limiting the particle growth.
239 citations
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TL;DR: The consolidated recent advanced works on wound healing and wound dressing which implies the significance of wound dressing are discussed.
232 citations
Authors
Showing all 900 results
Name | H-index | Papers | Citations |
---|---|---|---|
Abhay Kumar Singh | 43 | 262 | 6111 |
Balasubramanian Kandasubramanian | 35 | 177 | 3779 |
Pawan K. Khanna | 33 | 151 | 4293 |
Sangeeta Kale | 32 | 117 | 3977 |
Lalit M. Patnaik | 30 | 319 | 8027 |
Anil K. Bajaj | 30 | 184 | 3112 |
Bhaskar Majumdar | 30 | 160 | 3065 |
K. Balasubramanian | 27 | 102 | 1942 |
Asit B. Samui | 25 | 72 | 1939 |
Prashant S. Kulkarni | 24 | 64 | 2445 |
Saggam Narendar | 23 | 51 | 1541 |
Prashant S. Alegaonkar | 22 | 102 | 1713 |
Kamla Prasan Ray | 22 | 109 | 4061 |
Shrivijay B. Phadke | 21 | 68 | 1989 |
Sanjay E. Talole | 21 | 57 | 1596 |