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Search Results: 1 - 10 of 9933 matches for " Fernandes Gitanjali "
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Application of Machine-Learning Based Prediction Techniques in Wireless Networks  [PDF]
Gitanjali Bhutani
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2014, DOI: 10.4236/ijcns.2014.75015
Abstract:

Wireless networks are key enablers of ubiquitous communication. With the evolution of networking technologies and the need for these to inter-operate and dynamically adapt to user requirements, intelligent networks are the need of the hour. Use of machine learning techniques allows these networks to adapt to changing environments and enables them to make decisions while continuing to learn about their environment. In this paper, we survey the various problems of wireless networks that have been solved using machine-learning based prediction techniques and identify additional problems to which prediction can be applied. We also look at the gaps in the research done in this area till date.

An Analytical Framework for Disconnection Prediction in Wireless Networks  [PDF]
Gitanjali Bhutani
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2014, DOI: 10.4236/ijcns.2014.76018
Abstract:

The stability and reliability of links in wireless networks is dependent on a number of factors such as the topology of the area, inter-base station or inter-mobile station distances, weather conditions and so on. Link instability in wireless networks has a negative impact on the data throughput and thus, the overall quality of user experience, even in the presence of sufficient bandwidth. An estimation of link quality and link availability duration can drastically increase the performance of these networks, allowing the network or applications to take proactive measures to handle impending disconnections. In this paper we look at a mathematical model for predicting disconnection in wireless networks. This model is originally intended to be implemented in base stations of cellular networks, but is independent of the wireless technology and can thus be applied to different types of networks with minimum changes.

Assessment of anterior segment parameters under photopic and scotopic conditions in Indian eyes using anterior segment optical coherence tomography
Dacosta Shaun,Fernandes Gitanjali,Rajendran Babu,Janakiraman P
Indian Journal of Ophthalmology , 2008,
Abstract: Purpose: To compare the anterior segment parameters in photopic and scotopic conditions using anterior segment optical coherence tomography (AS OCT) in Indian eyes. Materials and Methods: One hundred eyes of 100 normal subjects of both sexes, aged 19 to 76 years, underwent anterior segment evaluation by AS OCT (VisanteTM OCT). Central corneal thickness (CCT), central anterior chamber depth (ACD), pupil diameter (PD) and the temporal and nasal peripheral irido-corneal angles were assessed in photopic and scotopic conditions. These anterior segment parameters were stratified for age, sex and refractive error. Results: Mean values of the parameters measured in photopic and scotopic conditions respectively were as follows: ACD (mm) 2.88 ± 0.32, 2.89 ± 0.32 (P = 0.10); nasal angle (degrees) 28.80 ± 5.91, 22.28 ± 7.50 (P < 0.001); temporal angle (degrees) 29.95 ± 6.74, 22.82 ± 8.43 (P < 0.001); pupil diameter (mm) 4.08 ± 0.91, 4.68 ± 0.92 (P < 0.001); CCT (μm) 519 ± 33.88, 519 ± 33.88. Conclusions: There was no significant difference in the ACD in photopic and scotopic conditions. While the nasal and temporal angles showed a significant decrease, the pupil diameter showed a significant increase in scotopic conditions. Mean central ACD decreased with age and was shallower in females than in males. It was highest in myopes and lowest in hypermetropes. CCT was not influenced by photopic and scotopic conditions.
Prediction of High Energy Shower Primary Energy and Core Location using Multi Classifier System
Gitanjali Devi
International Journal of Artificial Intelligence & Knowledge Discovery , 2011,
Abstract: Cosmic showers generate secondary particles called Extensive Air Shower (EAS) while they enter the atmosphere of the earth. Several constraints are associated with the analysis of these EASs resulting in inaccuracies in measurements for which there exist a necessity to develop a readily available system based on soft-computational approaches. This is due to the fact that soft computational tools like the Artificial Neural Network (ANN)s can be trained as classifiers to adapt and learn the surrounding variations. But single classifiers fail to reach optimality of decision making for which Multiple Classifier System (MCS) are preferred. This work describes the formation of an MCS using Multi Layer Perceptron (MLP), Recurrent Neural Network (RNN) and Probabilistic Neural Network (PNN) for EAS primary energy prediction and location determination. The results show that the set-up can be adopted for real time practical applications involving EAS from density values captured using detectors in a circular grid.
Training Students in Research Methodology : Are We Doing Enough?
B. Gitanjali
JK Science : Journal of Medical Education & Research , 2006,
Abstract: Not available
Academic dishonesty in Indian medical colleges
Gitanjali B
Journal of Postgraduate Medicine , 2004,
Abstract: Integrity is a necessary attribute expected in practitioners of medicine. Unfortunately there is evidence on hand that academic dishonesty is widely prevalent in many Indian medical colleges and that a proportion of students seem to think that there is nothing wrong in participating in such acts. This practice needs to be discouraged as those indulging in unethical acts during student days are likely to indulge in similar practices while dealing with their patients. It is, therefore, necessary that teachers in medical colleges show 'zero tolerance' to such acts. There is a need for faculty and administrators to be above board in their actions and be role models for ethical behaviour. Hence, acts of academic misconduct committed by faculty and administrators should also be dealt with quickly, fairly and firmly. A milieu of transparency, fairness and student awareness will go a long way in minimizing this pervasive malady.
Peer review -- process, perspectives and the path ahead.
Gitanjali B
Journal of Postgraduate Medicine , 2001,
Abstract:
A Near-Optimal Scheme for TCP ACK Pacing to Maintain Throughput in Wireless Networks
Gitanjali Bhutani
Computer Science , 2009,
Abstract: The advent of fourth generation technologies in wireless networks and the rapid growth of 3G have heralded an era that will require researchers to find reliable and easily implement-able solutions to the problem of poor TCP performance in the wireless environment. Since a large part of the Internet is TCP-based, solving this problem will be instrumental in determining if the move from wired to wireless will be seamless or not. This paper proposes a scheme that uses the base station's ability to predict the time at which the link may be going down and to estimate the period for which the mobile would be unreachable due to conditions like fading. By using cross-layer and ACK pacing algorithms, the base station prevents the fixed host from timing out while waiting for ACKs from the mobile. This in turn prevents TCP on the fixed host from bringing down the throughput drastically due to temporary network conditions, caused by mobility or the unreliability of wireless links. Experimental results indicate a reasonable increase in throughput when the ACK holding scheme is used.
A Round-based Pricing Scheme for Maximizing Service Provider's Revenue in P2PTV Networks
Gitanjali Bhutani
Computer Science , 2009,
Abstract: In this paper, we analyze a round-based pricing scheme that encourages favorable behavior from users of real-time P2P applications like P2PTV. In the design of pricing schemes, we consider price to be a function of usage and capacity of download/upload streams, and quality of content served. Users are consumers and servers at the same time in such networks, and often exhibit behavior that is unfavorable towards maximization of social benefits. Traditionally, network designers have overcome this difficulty by building-in traffic latencies. However, using simulations, we show that appropriate pricing schemes and usage terms can enable designers to limit required traffic latencies, and be able to earn nearly 30% extra revenue from providing P2PTV services. The service provider adjusts the prices of individual programs incrementally within rounds, while making relatively large-scale adjustments at the end of each round. Through simulations, we show that it is most beneficial for the service provider to carry out 5 such rounds of price adjustments for maximizing his average profit and minimizing the associated standard deviation at the same time.
NEXCADE: Perturbation Analysis for Complex Networks
Gitanjali Yadav, Suresh Babu
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0041827
Abstract: Recent advances in network theory have led to considerable progress in our understanding of complex real world systems and their behavior in response to external threats or fluctuations. Much of this research has been invigorated by demonstration of the ‘robust, yet fragile’ nature of cellular and large-scale systems transcending biology, sociology, and ecology, through application of the network theory to diverse interactions observed in nature such as plant-pollinator, seed-dispersal agent and host-parasite relationships. In this work, we report the development of NEXCADE, an automated and interactive program for inducing disturbances into complex systems defined by networks, focusing on the changes in global network topology and connectivity as a function of the perturbation. NEXCADE uses a graph theoretical approach to simulate perturbations in a user-defined manner, singly, in clusters, or sequentially. To demonstrate the promise it holds for broader adoption by the research community, we provide pre-simulated examples from diverse real-world networks including eukaryotic protein-protein interaction networks, fungal biochemical networks, a variety of ecological food webs in nature as well as social networks. NEXCADE not only enables network visualization at every step of the targeted attacks, but also allows risk assessment, i.e. identification of nodes critical for the robustness of the system of interest, in order to devise and implement context-based strategies for restructuring a network, or to achieve resilience against link or node failures. Source code and license for the software, designed to work on a Linux-based operating system (OS) can be downloaded at http://www.nipgr.res.in/nexcade_download?.html. In addition, we have developed NEXCADE as an OS-independent online web server freely available to the scientific community without any login requirement at http://www.nipgr.res.in/nexcade.html.
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