Institution
Jaypee Institute of Information Technology
Education•Noida, Uttar Pradesh, India•
About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.
Papers published on a yearly basis
Papers
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30 Jun 2010TL;DR: A comprehensive survey of literatures including recently developed techniques for registration of remote sensing images due to their characteristic of being computationally heavy is presented.
Abstract: Image Registration is the first step towards using remote sensed images for any purpose Despite numerous techniques being developed for image registration, only a handful has proved to be useful for registration of remote sensing images due to their characteristic of being computationally heavy Recent flux in technology has prompted a legion of approaches that may suit divergent remote sensing applications This paper presents a comprehensive survey of such literatures including recently developed techniques
123 citations
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TL;DR: Nano-carrier-based delivery presents an appropriate choice of drug carriers owing to their property to protect proteins from degradation by the low pH conditions in stomach or by the proteolytic enzymes in the gastrointestinal tract.
Abstract: Advent of recombinant technology in protein synthesis has given birth to a new range of biopharmaceuticals. These therapeutic peptides and proteins are now emerging as an imperative part of various treatment protocols especially in the cancer therapeutics. Despite extensive research efforts, oral delivery of therapeutic peptide or protein is still a challenge for pharmaceutical industries and researchers. Number of factors including high proteolytic activity and low pH conditions of gastrointestinal tract act as major barriers in the successful delivery of intact protein/peptide to the targeted site. Low permeability of protein/peptide across the intestinal barrier is also a factor adding to the low bioavailability. Therefore, because of the short circulatory half-life exhibited by peptides in vivo, they need to be administered frequently resulting in increased cost of treatment and low patient compliance. Nano-carrier-based delivery presents an appropriate choice of drug carriers owing to their property to protect proteins from degradation by the low pH conditions in stomach or by the proteolytic enzymes in the gastrointestinal tract. This review focuses on recent aspects and patents on oral delivery of therapeutic proteins and peptides with special emphasis on nano-carrier-based approach.
123 citations
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TL;DR: In this paper, the authors considered the static spherically symmetric metric of embedding class 1 and obtained specific new charged stellar models where the solutions are entirely dependent on the electromagnetic field, such that the physical parameters, like density, pressure etc. do vanish for the vanishing charge.
Abstract: In this article we consider the static spherically symmetric metric of embedding class 1. When solving the Einstein-Maxwell field equations we take into account the presence of ordinary baryonic matter together with the elec- tric charge. Specific new charged stellar models are obtained where the solutions are entirely dependent on the electromag- netic field, such that the physical parameters, like density, pressure etc. do vanish for the vanishing charge. We system- atically analyze altogether the three sets of Solutions I, II, and III of the stellar models for a suitable functional relation of ν(r ). However, it is observed that only the Solution I pro- vides a physically valid and well-behaved situation, whereas the Solutions II and III are not well behaved and hence not included in the study. Thereafter it is exclusively shown that the Solution I can pass through several standard physical tests performed by us. To validate the solution set presented here a comparison has also been made with that of the compact stars, like RX J 1856 − 37, Her X − 1, PSR 1937 + 21, PSRJ 1614 − 2230, and PSRJ 0348 + 0432, and we have shown the feasibility of the models.
121 citations
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TL;DR: An insight is provided into the huge diversity of alkaliphilic bacteria, the varied products obtained from them, and the need for further investigations on these interesting bacteria.
Abstract: Alkaliphiles are interesting groups of extremophilic organisms that thrive at pH of 9.0 and above. Many of their products, in particular enzymes, have found widespread applications in industry, primarily in the detergent and laundry industries. While the enzymes have been a runaway success from the industrial point of view, many more products have been reported from alkaliphiles such as antibiotics and carotenoids. Less known are their potential for degradation of xenobiotics. They also play a key role in biogeocycling of important inorganic compounds. This review provides an insight into the huge diversity of alkaliphilic bacteria, the varied products obtained from them, and the need for further investigations on these interesting bacteria.
120 citations
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TL;DR: This paper presents an approach which attempts to control the randomness present in LEACH’s clustering algorithm, and makes the cluster head count stable.
Abstract: Battery power is a critical resource of Wireless Sensor Networks (WSNs). Therefore, an effective operation of WSNs depend upon the efficient use of its battery resource. Cluster based routing protocols are proven to be more energy efficient as compared to other routing protocols. Most of the cluster based routing protocols, especially Low Energy Adaptive Clustering Hierarchy (LEACH) protocol, follows Dynamic, Distributed and Randomized (DDR) algorithm for clustering. Due to the randomness present in clustering algorithms, number of cluster heads generated varies highly from the optimal count. In this paper, we present an approach which attempts to control the randomness present in LEACH's clustering algorithm. This approach makes the cluster head count stable. NS-2 simulation results show that proposed approach improved the First Node Death (FND) time and Last Node Death (LND) time by 21 and 24 % over LEACH, 10 and 20 % as compared to Advance LEACH (ALEACH) and 5 and 35 % over LEACH with Deterministic Cluster Head Selection (LEACH-DCHS) respectively.
119 citations
Authors
Showing all 2176 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sanjay Gupta | 99 | 902 | 35039 |
Mohsen Guizani | 79 | 1110 | 31282 |
José M. Merigó | 55 | 361 | 10658 |
Ashish Goel | 50 | 205 | 9941 |
Avinash C. Pandey | 45 | 301 | 7576 |
Krishan Kumar | 35 | 242 | 4059 |
Yogendra Kumar Gupta | 35 | 183 | 4571 |
Nidhi Gupta | 35 | 266 | 4786 |
Anirban Pathak | 33 | 214 | 3508 |
Amanpreet Kaur | 32 | 367 | 5713 |
Navneet Sharma | 31 | 219 | 3069 |
Garima Sharma | 31 | 97 | 3348 |
Manoj Kumar | 30 | 108 | 2660 |
Rahul Sharma | 30 | 189 | 3298 |
Ghanshyam Singh | 29 | 263 | 2957 |