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Institution

Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.


Papers
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Proceedings ArticleDOI
27 Dec 2009
TL;DR: An overview of set of HMIP based mobility protocols that will play an important role in IP based mobility management is presented and the advantages and disadvantages of theses protocols in the context of handoff latency and signaling overhead are analyzed.
Abstract: Mobility management in the wireless domain is a challenging issue for the next generation networks. Frequent change of network requires a new IP address to route packets from one host to another. It is done by sending the mobile node (MN) binding update to the Home Agent (HA) when the Care of address (CoA) gets changed. This registration requires large number of location updates, excessive signaling overhead and service delay. This problem is solved by Hierarchical Mobile IP (HMIP) protocol using the concept of hierarchy of Foreign Agent and the Gateway Foreign Agent /Mobility Anchor point to localize the registration information. This article presents an overview of set of HMIP based mobility protocols such as HMIP, PHMIP, RHMIP, DHMIP, FFHMIP, MIFA etc. that will play an important role in IP based mobility management. We analyze the advantages and disadvantages of theses protocols in the context of handoff latency and signaling overhead. Further, we propose a network model by removing the binding update with HA and simulate its performance in OPNET simulator. The simulation results show that our proposed mechanism achieve better performance than other protocols.

5 citations

Book ChapterDOI
01 Jan 2022
TL;DR: In this paper, the authors discuss the current status and future prospects of BCI technology and its applications in several fields, including entertainment and games, safety and security, and biomedical.
Abstract: Brain-computer interface (BCI) enables their users to use brain signals instead of the brain’s normal peripheral nerve and muscle output paths to communicate or control external devices. Several methods can be used to obtain data from the brain sensors that basically monitor physical processes Brain computer interface technology is an emerging area of research with several applications in medical fields. In this review, we discuss the current status and future prospects of BCI technology and its applications in several fields. We will define BCI, examine BCI-related signals from the human brain, and describe the functional components of BCI. We will also review the different applications of BCI technologies in the field of medicine, in entertainment and games, safety and security and in biomedical. Finally, we will discuss the current restrictions of BCI technology, obstacles to its widespread clinical application, and expectations for the future.

5 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of nanoparticle dimension for enhancement of extinction in terms of absorption and scattering by means of surface plasmon and also studied finite-difference time domain based proposed model which shows improvement in various simulated surface Plasmonic fields components.

5 citations

Journal ArticleDOI
TL;DR: One bacterial strain was isolated from soyphospholipid enriched media of pseudomonas group and cultured in peptone, yeast extract and beef extract containing media and appeared to have both lipase and phospholipase activity and specificity.
Abstract: One bacterial strain was isolated from soyphospholipid enriched media of pseudomonas group and cultured in peptone, yeast extract and beef extract containing media. The kinds of enzyme from the bacteria appeared to have both lipase and phospholipase activity and specificity as evident from their mode of action on triacylglyceride and phospholipid as well.

5 citations

Journal ArticleDOI
TL;DR: A distributed, randomized clustering techniques to find optimum cluster size and cost to organize the sensors in a wireless sensor network within clusters within clusters is proposed.

5 citations


Authors

Showing all 288 results

Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202233
202142
202076
201939
201828
201736