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Search Results: 1 - 10 of 148 matches for " Namrata; "
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Layout Design of LC VCO with Current Mirror Using 0.18 µm Technology  [PDF]
Namrata Prasad, Radheshyam Gamad
Wireless Engineering and Technology (WET) , 2011, DOI: 10.4236/wet.2011.22014
Abstract: This paper presents a new design of complementary oxide semiconductor voltage controlled oscillator (CMOS VCO) for improve tuning range and phase noise with low power consumption. Design is area efficient and easy to implement. Design is carried out in cadence and schematic editor using 180 nm technology. Simulation is done and performance results are reported. Results have been compared with earlier published work and improvements are obtained in this work.
A Two-Dimensional Mathematical Model to Analyze Thermal Variations in Skin and Subcutaneous Tissue Region of Human Limb during Surgical Wound Healing  [PDF]
Namrata Gupta, Madhvi Shakya
Applied Mathematics (AM) , 2016, DOI: 10.4236/am.2016.72014
Abstract: During wound healing, the metabolic activity associated with each phase must occur in the proper sequence, at a specific time, and continue for a specific duration at an optimal intensity. Any disturbance in appropriate thermal environment may complicate the wound healing process and may give rise to wound infection. In the presented paper a transient state two-dimensional mathematical model has been developed to analyse thermal variations in skin and subcutaneous tissue (SST) region of human limb. Due to circular shape of human limb, model has been developed in polar coordinates. The domain of the study consists of two types of tissues: abnormal tissues and normal tissues. The post surgery peripheral tissue of human limb during healing time is considered as abnormal tissues. The effect of variable density of blood vessels in dermal layer of both tissues on the physical and physiological parameters is incorporated in the model. The effect of healing on physiological parameters of abnormal tissue is incorporated by considering the physiological parameters to be function of time “t”. The effect of different climatic conditions is considered in the model. Taking into account the variable core temperature due to anatomy of arteries and variable physiological parameters in dermal layer of peripheral region, the well known Pennes’ bio heat equation is used to analyse the time-dependent temperature distribution of both normal and abnormal tissues. Comparison between temperature profiles of both normal and abnormal tissue has been done using finite element approach with bilinear shape functions in polar coordinates. A computer program in MATLAB has been developed to simulate the results.
VIRAL MARKETING TOOL –POPULARITY IN INDIAN MARKETING SCENARIO
NAMRATA PRAKASH
Golden Research Thoughts , 2012, DOI: 10.9780/22315063
Abstract: The term “viral marketing” appears to have first been coined by venture capitalist Steve Jurvetson in 1996 to describe the marketing strategy of free e-mail service Hotmail (Kaikati and Kaikati 2004). Since then, contemporary business literature has become somewhat enamoured with the concept. Terms such as “word- ofweb,” “word-of-mouse,” “customer-to-customer” (C2C), or “peer-to-peer” (P2P) communication as well as “buzz marketing” have also been variously associated with the process. Viral marketing describes any strategy that encourages individuals to pass on a marketing message to others, creating the potential for exponential growth in the message's exposure and influence. Like viruses, such strategies take advantage of rapid multiplication to explode the message to thousands, to millions.
Physicochemical properties of polluted water of river Ganga at Varanasi
Singh Namrata
International Journal of Energy and Environment , 2010,
Abstract: Ganga river basin, which was comparatively free from anthropocentric activities until the 1940s, became a disposal site for agricultural, industrial and sewage wastes after independence of India in 1947. Discharge of waste generated due to developmental activities and demographic explosion in the basin degraded the water quality. Present paper deals with the impact of pollution on Ganga water at six different sites i.e. Assi Ghat, Shiwala Ghat, Chauki Ghat, Harishchandra Ghat, Rajendraprasad Ghat, and Raj Ghat. During investigation waste water was collected from six different sites to evaluate physicochemicalproperties of Such as Temperature, pH, Acidity, Alkalinity, DO, BOD, COD, Chloride, Electrical conductance, Nitrate, Phosphate of river Ganga. The investigation reveals that Raj Ghat was highly polluted and Shiwala Ghat was least polluted.
Neural networks approach v/s Algorithmic approach : A study through pattern recognition
Namrata Aneja
Advanced Computing : an International Journal , 2011,
Abstract: There is a great scope of expansion in the field of Neural Network, as it can be viewed as massivelyparallel computing systems consisting of an extremely large number of simple processors with manyinterconnections. NN models attempt to use some organizational principles in a weighted directedgraphs in which nodes are artificial neurons and directed edges are connections between neuron outputsand neuron inputs. The main characteristic of neural network is that they have the ability to learncomplex non- linear input output relationships. A single artificial neuron is a simulation of a neuron(basic human brain cell) and scientists have tried to emulate the neuron in a form of artificial neuroncalled perceptron. Pattern recognition is one of the areas where the neural approach has beensuccessfully tried. This study is concerned to see the journey of pattern recognition from algorithmicapproach to neural network approach.
The Educational Relevance of Tsunesaburo Makiguchi and Mahatma Gandhi in the 21st century
Namrata Sharma
Educate~ , 2006,
Abstract: Contextualisation These research notes are based on my PhD study, which I am partway through. The study looks at the educational ideas of the Japanese educator Tsunesaburo Makiguchi (1871-1944) and those of Mahatma Gandhi (1869-1948) of India. In particular the study deals with the views of the above educators on ‘values’ in education and their role in opposing both the totalitarian values of National Shinto in Japan during World War II and the communal values that were being invoked during the same period by Hindu and Muslim political parties in India. The study then questions the relevance of the two dissident philosophers in the present-day context of the ongoing controversies that exist in history textbooks in both Japan and India, with respect to the representation of World War II in Japanese textbooks and the influence of Hindutva values in Indian textbooks.
Play/Drama in Language Teaching in the North East Context
Namrata Pathak
Journal of Literature, Culture and Media Studies , 2010,
Abstract:
Construction of models of universe on the Riemann hypothesis
Namrata Shukla
Physics , 2015,
Abstract: The aim of this note is to give some corrections to the appendix of J. Moser's paper \cite{JM} and construction of infinitely many models of the universe using the state equation with positive density and pressure.
Kalman Filtered Compressed Sensing
Namrata Vaswani
Mathematics , 2008,
Abstract: We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incoherent" measurements, in real-time. The signals are sparse in some transform domain referred to as the sparsity basis. For a single spatial signal, the solution is provided by Compressed Sensing (CS). The question that we address is, for a sequence of sparse signals, can we do better than CS, if (a) the sparsity pattern of the signal's transform coefficients' vector changes slowly over time, and (b) a simple prior model on the temporal dynamics of its current non-zero elements is available. The overall idea of our solution is to use CS to estimate the support set of the initial signal's transform vector. At future times, run a reduced order Kalman filter with the currently estimated support and estimate new additions to the support set by applying CS to the Kalman innovations or filtering error (whenever it is "large").
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
Namrata Vaswani
Mathematics , 2008, DOI: 10.1109/TSP.2008.925969
Abstract: We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the state space dimension is large or both. When the OL is multimodal, but the state transition pdf (STP) is narrow enough, the optimal importance density is usually unimodal. Under this assumption, many techniques have been proposed. But when the STP is broad, this assumption does not hold. We study how existing techniques can be generalized to situations where the optimal importance density is multimodal, but is unimodal conditioned on a part of the state vector. Sufficient conditions to test for the unimodality of this conditional posterior are derived. The number of particles, N, to accurately track using a PF increases with state space dimension, thus making any regular PF impractical for large dimensional tracking problems. We propose a solution that partially addresses this problem. An important class of large dimensional problems with multimodal OL is tracking spatially varying physical quantities such as temperature or pressure in a large area using a network of sensors which may be nonlinear and/or may have non-negligible failure probabilities.
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