ABSTRACT
A novel strategy of discrete energy consumption model for WSN based on quasi Monte Carlo and crude Monte Carlo method is developed. In our model the discrete hidden Markov process plays a major role in analyzing the node location in heterogeneous media. In this energy consumption model we use both static and dynamic sensor nodes to monitor the optimized energy of all sensor nodes in which every sensor state can be considered as the dynamic Bayesian network. By using this method the power is assigned in terms of dynamic manner to each sensor over discrete time steps to control the graphical structure of our network. The simulation and experiment result shows that our proposed methods are better in terms of localization accuracy and possess minimum computational time over existing localization method.
ABSTRACT
Langerhans cell Histiocytosis--a lesion characterised by proliferation of a variant of epidermal dendritic cell is one of the several syndromes in which histiocytes play a principal role in pathogenesis outside the context of inflammatory and metabolic storage disease. Seven cases were diagnosed as Langerhans cell Histiocytosis over a period of six years. The mode of diagnosis was Fine needle aspiration in 2 cases, open biopsy in four, and both biopsy and FNAC in one. The age range was from 2 months to 58 years and four of the seven patients were males. The lesion was unifocal in 3 cases (two in bone and one involving skin and soft tissue), multifocal in 3 and systemic in one. Electron microscopy was done in one case to demonstrate Birbeck granules. Immunohistochemical demonstration of S 100 protein was done in one case. The clinicopathologic spectrum of Langerhans cell Histiocytosis is brought out in this presentation of seven cases.
