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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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Journal ArticleDOI
TL;DR: In this paper, the energy and transition rates for two-electron-one-photon transitions and their satellites were calculated using multiconfiguration Dirac-Fock method for a number of atoms having nuclear charges within Z = 12 − 20.

12 citations

Journal ArticleDOI
TL;DR: In this paper, the experimental and numerical investigations on vibration characteristics of laminated skewed shells with cutout are presented, and the results obtained in the present investigation indicate that cutout and skew angle bear remarkable influencing factor to control the frequencies of laminate skewed shells.
Abstract: The findings of the experimental and numerical investigations on vibration characteristics of laminated skewed shells with cutout are presented in this paper. The shell laminates have been fabricated in the laboratory by adopting resin infusion technique. Experimental analysis is conducted using Photon plus data acquisition system along with accelerometer and impact hammer to identify the influence of skew angle and cutout on the natural frequencies of laminated shell. The results obtained in the present investigation indicate that cutout and skew angle bear remarkable influencing factor to control the frequencies of laminated skewed shells. Additional results obtained from extensive parametric study on various shells with cutout are presented which may be helpful for future researchers.

12 citations

Proceedings ArticleDOI
01 Sep 2012
TL;DR: Various techniques recently suggested by researchers e.g. automatic modulation classification, pattern recognition based cognitive transmitter/receiver, ANN based learner and spectrum predictor have been discussed in this paper.
Abstract: The cognitive radio is the emerging field where an efficient use of spectrum is desired by detecting white spaces. The Artificial intelligence is the core of the cognitive engine which observes the external and internal environment parameters and acts to increase the QoS of the communication system. In this paper a survey of how artificial neural networks can be used to develop this intelligent core. Various techniques recently suggested by researchers e.g. automatic modulation classification, pattern recognition based cognitive transmitter / receiver , ANN based learner and spectrum predictor have been discussed in this paper

12 citations

Proceedings ArticleDOI
30 May 2018
TL;DR: A Multiple Criteria based Parking space Reservation (MCPR) algorithm, for reserving a space for a user to deal with parking space in a fair way, and helps users automatically to find a parking space according to the users' requirements.
Abstract: Smart cities are struggling with using public space efficiently and decreasing pollution at the same time. For this governments have embraced smart parking initiatives, which should result in a high utilization of public space and minimization of the driving, in this way reducing the emissions of cars. Yet, simply opening data about the availability of public spaces results in more congestions as multiple cars might be heading for the same parking space. In this work, we propose a Multiple Criteria based Parking space Reservation (MCPR) algorithm, for reserving a space for a user to deal with parking space in a fair way. Users' requirements are the main driving factor for the algorithm and used as criteria in MCPR. To evaluate the algorithm, simulations for three set of user preferences were made. The simulation results show that the algorithm satisfied the users' request fairly for all the three preferences. The algorithm helps users automatically to find a parking space according to the users' requirements. The algorithm can be used in a smart parking system to search for a parking space on behalf of user and send parking space information to the user.

12 citations

Proceedings ArticleDOI
20 Apr 2015
TL;DR: Inspired by Ant colony based route selection algorithm, a volunteer-concentration based adaptive mobility of the observers is implemented and some improvement on the reputation collection mechanism is suggested so that global reputation matrix can be generated quickly in a sparse network.
Abstract: Researchers have proposed to use smart-phone based opportunistic networks for post-disaster communication where the smart-phones carried by the volunteers (also known as, nodes) are used to exchange the situational information from different corners of the disaster affected areas. In such scenario, some malicious nodes may try to intercept and manipulate the sensitive situational data with the intention of corruption and fraud. One way of preventing such corruption is to detect the malicious nodes based on their reputation and avoid them during data forwarding. In our earlier work [1], we proposed a dynamic reputation estimation technique where a group of trusted, independent, roving observer were assigned to specific affected zones. They randomly monitor, estimate the behavior of nodes in terms of their cooperation pattern as well as group-biasness and periodically publish a global node reputation matrix to help other nodes in selecting a suitable unselfish, unbiased and cooperative forwarder. In this paper, we suggested some improvement on the reputation collection mechanism proposed in our earlier work so that global reputation matrix can be generated quickly in a sparse network. In a post-disaster scenario, volunteers normally work around shelters; As a result, volunteers are found to be sparsely spread across the entire affected area. Observers, being unaware of the locations of volunteers or shelters, move around randomly within their designated zones to collect reputation of volunteers. Thus, the time taken to collect the reputation of all nodes in a specific zone is found to be quite large. Our objective, in this paper, is to adapt the mobility of an observer towards the more volunteer-rich areas in that zone so that maximum volunteers can be met in minimum time and the reputations may be collected quickly. Inspired by Ant colony based route selection algorithm we have implemented volunteer-concentration based adaptive mobility of the observers. The performance of the proposed scheme is evaluated using ONE simulator [13].

12 citations


Authors

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