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Search Results: 1 - 10 of 22133 matches for " Sunil Kumar "
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Lead Iodide Crystals as Input Material for Radiation Detectors  [PDF]
Sunil Kumar Chaudhary
Crystal Structure Theory and Applications (CSTA) , 2012, DOI: 10.4236/csta.2012.13004
Abstract: Lead iodide is an important inorganic solid for fundamental research and possible technological applications and is considered to be a potential room temperature nuclear radiation detector. In lead iodide the phenomenon of polytypism is posing an interesting problem of phase transformations amongst its various polytypic modifications. The transformations have also been observed even when the crystals are stored for few months. It causes deterioration in functioning of PbI2 devices. Taking into account the known structures of PbI2 and the data available on the mode of growth and storage of crystals, it has been concluded that purified melt grown crystals of PbI2 are the best suited for nuclear radiation detectors.
An Adaptive Data Aggregation Algorithm in Wireless Sensor Network with Bursty Source  [PDF]
Kumar PADMANABH, Sunil Kumar VUPPALA
Wireless Sensor Network (WSN) , 2009, DOI: 10.4236/wsn.2009.13029
Abstract: The Wireless Sensor network is distributed event based systems that differ from conventional communica-tion network. Sensor network has severe energy constraints, redundant low data rate, and many-to-one flows. Aggregation is a technique to avoid redundant information to save energy and other resources. There are two types of aggregations. In one of the aggregation many sensor data are embedded into single packet, thus avoiding the unnecessary packet headers, this is called lossless aggregation. In the second case the sensor data goes under statistical process (average, maximum, minimum) and results are communicated to the base station, this is called lossy aggregation, because we cannot recover the original sensor data from the received aggregated packet. The number of sensor data to be aggregated in a single packet is known as degree of ag-gregation. The main contribution of this paper is to propose an algorithm which is adaptive to choose one of the aggregations based on scenarios and degree of aggregation based on traffic. We are also suggesting a suitable buffer management to offer best Quality of Service. Our initial experiment with NS-2 implementa-tion shows significant energy savings by reducing the number of packets optimally at any given moment of time.
Is Isostatic Rebound in Slow Spreading Gakkel Ridge of Arctic Region Due to the Climate Change? A Case Study  [PDF]
Arun Kumar, L. Sunil Singh
International Journal of Geosciences (IJG) , 2012, DOI: 10.4236/ijg.2012.32037
Abstract: Ny-Alesund, Swalbard region which is located in the mid-ocean ridge of the Arctic Ocean, and named Gakkel ridge, is the slowest spreading ridge of the global system. In the present study an attempt has been made to associate isostatic rebound using GPS campaign data collected at Ny-Alesund area. The Artic Region Campaign GPS network was established in 2009. The network consists of three campaign mode station. The distance between GPS point is about ~30 km. The preliminary results of our investigation appear broadly consistent with the recent tectonic activity in western Svalbard. The resultant velocity vector is 14.84 mm·yr–1 with an azimuth of 27.67°N and a vertical displacement of 7.62 ± 3.0 mm·yr–1 is estimated in Swalbard, in which we presume Glacial Isostatic Rebound (5.1 mm·yr–1) and post glacial geological process (Present Day Ice Melting, erosion, and shore line deposits) of 2.52 mm per year in the study area.
A Unique Approach to Epilepsy Classification from EEG Signals Using Dimensionality Reduction and Neural Networks  [PDF]
Harikumar Rajaguru, Sunil Kumar Prabhakar
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78127
Abstract: Characterized by recurrent and rapid seizures, epilepsy is a great threat to the livelihood of the human beings. Abnormal transient behaviour of neurons in the cortical regions of the brain leads to a seizure which characterizes epilepsy. The physical and mental activities of the patient are totally dampened with this epileptic seizure. A significant clinical tool for the study, analysis and diagnosis of the epilepsy is electroencephalogram (EEG). To detect such seizures, EEG signals aids greatly to the clinical experts and it is used as an important tool for the analysis of brain disorders, especially epilepsy. In this paper, the high dimensional EEG data are reduced to a low dimension by incorporating techniques such as Fuzzy Mutual Information (FMI), Independent Component Analysis (ICA), Linear Graph Embedding (LGE), Linear Discriminant Analysis (LDA) and Variational Bayesian Matrix Factorization (VBMF). After employing them as dimensionality reduction techniques, the Neural Networks (NN) such as Cascaded Feed Forward Neural Network (CFFNN), Time Delay Neural Network (TDNN) and Generalized Regression Neural Network (GRNN) are used as Post Classifiers for the Classification of Epilepsy Risk Levels from EEG signals. The bench mark parameters used here are Performance Index (PI), Quality Values (QV), Time Delay, Accuracy, Specificity and Sensitivity.
Neuroanatomical Basis of Glasgow Coma Scale—A Reappraisal  [PDF]
Sunil Munakomi, Bijoy Mohan Kumar
Neuroscience & Medicine (NM) , 2015, DOI: 10.4236/nm.2015.63019
Abstract: Glasgow coma scale is the most cited paper in neurosurgery. It has vast implications in the fields of neurology and neurosurgery. But lack of proper understanding in the neuro-anatomical basis of the score is the Achilles heel in proper utilization of the same. Herein we review the anatomical aspects behind each variable in the score. We also discuss common limitations of the score and highlight future directives to limit the same.
Approaches To Application Security
Sunil Kumar
Golden Research Thoughts , 2012, DOI: 10.9780/22315063
Abstract: In our experience we've seen many approaches organizations take in achieving security in their applications.
Utilization of Some Known Population Parameters for Estimating Population Mean in Presence of Non-Response
Sunil Kumar
Pakistan Journal of Statistics and Operation Research , 2012, DOI: 10.1234/pjsor.v8i2.221
Abstract: In presence of non-response, a general class of estimators is proposed for estimating the population mean of the study variable with known value of some population parameter(s) of the auxiliary variable. The bias and mean squared error (MSE) of the proposed strategy are derived under simple random sampling without replacement (SRSWOR). Some estimators are also obtained from proposed strategy by giving suitable values to the constants used. Comparisons of the proposed strategy with the usual unbiased estimator and other estimators have been made. An empirical study is carried out to demonstrate the performance of the proposed estimator.
Assessment of quality of handwritten discharge tickets of breast cancer patients: The gaps are wide and need remedy
Kumar Sunil
Indian Journal of Medical Sciences , 2004,
Abstract: BACKGROUND: Discharge tickets (DTs) convey important details related to hospitalization period and follow-up instructions. Therefore, quality of DTs may have significant bearing on subsequent patient care. AIMS, SETTING AND DESIGN: Aim of this retrospective study was to assess quality of handwritten DTs of breast cancer patients admitted at this institution. METHODS AND MATERIAL: DTs of 736 breast cancer patients were evaluated on six predetermined quality parameters by verifying entries from their respective case sheets drawn from the medical record department of this institution. These parameters included sections of discharge tickets dealing with central registration (CR) number, tumor stage, in-hospital treatment details, instructions for subsequent treatment and instructions regarding surgical wound care were evaluated for accuracy and clarity. General legibility was also assessed. The audit was done by the author. RESULTS: Almost all DTs were found to be legible and accurate for CR number. In-hospital treatment details were entered accurately in 98%. Tumor stage was correctly indicated in 57.5%. Follow-up and wound-care instructions were written clearly in 76.5% and 53.9% DTs, respectively. CONCLUSIONS: Handwritten DTs of breast cancer patients at this institution were satisfactory for three, but deficient for three other important quality parameters. These findings suggest that there is an acute need to review practice of preparing handwritten DTs in order to provide good quality of subsequent care.
Rapidly growing pilomatrixoma on eyebrow
Kumar Sunil
Indian Journal of Ophthalmology , 2008,
Abstract:
Recurrence of herpes simplex keratitis after azithromycin
Kumar Sunil
Indian Journal of Ophthalmology , 2007,
Abstract:
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