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Search Results: 1 - 10 of 13992 matches for " Pushpendra Singh "
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LINOEP vectors, spiral of Theodorus, and nonlinear time-invariant system models of mode decomposition
Pushpendra Singh
Computer Science , 2015,
Abstract: In this paper, we propose a general method to obtain a set of Linearly Independent Non-Orthogonal yet Energy (square of the norm) Preserving (LINOEP) vectors using iterative filtering operation and we refer it as Filter Mode Decomposition (FDM). We show that the general energy preserving theorem (EPT), which is valid for both linearly independent (orthogonal and nonorthogonal) and linearly dependent set of vectors, proposed by Singh P. et al. is a generalization of the discrete spiral of Theodorus (or square root spiral or Einstein spiral or Pythagorean spiral). From the EPT, we obtain the (2D) discrete spiral of Theodorus and show that the multidimensional discrete spirals (e.g. a 3D spiral) can be easily generated using a set of multidimensional energy preserving unit vectors. We also establish that the recently proposed methods (e.g. Empirical Mode Decomposition (EMD), Synchrosqueezed Wavelet Transforms (SSWT), Variational Mode Decomposition (VMD), Eigenvalue Decomposition (EVD), Fourier Decomposition Method (FDM), etc.), for nonlinear and nonstationary time series analysis, are nonlinear time-invariant (NTI) system models of filtering. Simulation and numerical results demonstrate the efficacy of LINOEP vectors.
CCNCheck: Enabling Checkpointed Distributed Applications in Content Centric Networks
Nitinder Mohan,Pushpendra Singh
Computer Science , 2015,
Abstract: We consider the problem of checkpointing a distributed application efficiently in Content Centric Networks so that it can withstand transient failures. We present CCNCheck, a system which enables a sender optimized way of checkpointing distributed applications in CCN's and provides an efficient mechanism for failure recovery in such applications. CCNCheck's checkpointing mechanism is a fork of DMTCP repository CCNCheck is capable of running any distributed application written in C/C++ language.
Some studies on multidimensional Fourier theory for Hilbert transform, analytic signal and space-time series analysis
Pushpendra Singh,Shiv Dutt Joshi
Mathematics , 2015,
Abstract: In this paper, we propose the Fourier frequency vector (FFV), inherently, associated with multidimensional Fourier transform. With the help of FFV, we are able to provide physical meaning of so called negative frequencies in multidimensional Fourier transform (MDFT), which in turn provide multidimensional spatial and space-time series analysis. The complex exponential representation of sinusoidal function always yields two frequencies, negative frequency corresponding to positive frequency and vice versa, in the multidimensional Fourier spectrum. Thus, using the MDFT, we propose multidimensional Hilbert transform (MDHT) and associated multidimensional analytic signal (MDAS) with following properties: (a) the extra and redundant positive, negative, or both frequencies, introduced due to complex exponential representation of multidimensional Fourier spectrum, are suppressed, (b) real part of MDAS is original signal, (c) real and imaginary part of MDAS are orthogonal, and (d) the magnitude envelope of a original signal is obtained as the magnitude of its associated MDAS, which is the instantaneous amplitude of the MDAS. The proposed MDHT and associated DMAS are generalization of the 1D HT and AS, respectively. We also provide the decomposition of an image into the AM-FM image model by the Fourier method and obtain explicit expression for the analytic image computation by 2DDFT.
CFD Analysis on Fluidized Bed Gasification of Rice Husk and Rice Straw  [PDF]
Singh Pushpendra, A. K. Srivastava
Open Access Library Journal (OALib Journal) , 2017, DOI: 10.4236/oalib.1103372
Abstract:
In the work being presented, computational fluid dynamics (CFD) analysis on fluidized bed gasification of rice husk has been carried out. The multiphase Eulerian model was undertaken in the analysis. Due to the lack of computational space, two dimensional models of fluidized bed were created. The objective of the investigation was to study the effect of variation on velocity with varying particle sizes. The quality of synthesis gas was also taken into account. The inlet’s superficial velocity was varied from 0.2 m/s to 1.2 m/s and diameter of rice husk varied from 0.0438 mm to 4.38 mm. Based on obtained results, this may be concluded that minimum fluidization velocity decreases with increase in diameter of rice husk. The carbon conversion was found to be maximum for 0.7 m/s velocity and carbon conversion increased for other velocities up to 96.9%. The analysis was carried out using ANSYS FLUENT 14.0 non-commercial code.
ECG Signal Compression Validation by a New Transform Technique
Pushpendra Singh,,Om Prakash Yadav,,Yojana Yadav
International Journal of Innovative Technology and Exploring Engineering , 2012,
Abstract: Electrocardiogram signal compression algorithm is needed to reduce the amount of data to be transmitted, stored and analyzed, without losing the clinical information content. This work investigates a set of ECG signal compression schemes to compare their performances in compressing ECG signals. These schemes are based on transform methods such as discrete cosine transform (DCT), fast Fourier transform (FFT), discrete sine transform (DST), and their improvements. An improvement of a discrete cosine transform (DCT)-based method for electrocardiogram (ECG) compression is also presented as DCT-II. A comparative study of performance of different transforms is made in terms of Compression Ratio (CR) and Percent root mean square difference (PRD).The appropriate use of a block based DCT associated to a uniform scalar dead zone quantiser and arithmetic coding show very good results, confirming that the proposed strategy exhibits competitive performances compared with the most popular compressors used for ECG compression. Each specific transform is applied to a pre-selected data segment from the Physiobank ATM database, and then compression is performed.
ECG Signal Compression Implementation by a New 2-Dimensional Transform Technique
Pushpendra Singh,Om Prakash Yadav,Yojana Yadav
International Journal of Engineering and Advanced Technology , 2012,
Abstract: Electrocardiogram signal compression algorithm is needed to reduce the amount of data to be transmitted, stored and analyzed, without losing the clinical information content. This work investigates a set of ECG signal compression schemes to compare their performances in compressing ECG signals. These schemes are based on transform methods such as discrete cosine transform (DCT), fast fourier transform (FFT), discrete sine transform (DST), and their improvements. An improvement of a discrete cosine transform (DCT)-based method for electrocardiogram (ECG) compression is also presented as DCT-II. A comparative study of performance of different transforms is made in terms of Compression Ratio (CR) and Percent root mean square difference (PRD).The appropriate use of a block based DCT associated to a uniform scalar dead zone quantiser and arithmetic coding show very good results, confirming that the proposed strategy exhibits competitive performances compared with the most popular compressors used for ECG compression. Each specific transform is applied to a pre-selected data segment from the CSE database, and then compression is performed.
The Study of Detecting Replicate Documents Using MD5 Hash Functio
Mr. Pushpendra Singh Tomar,Dr. Maneesh Shreevastava
International Journal of Advanced Computer Research , 2011,
Abstract: A great deal of the Web is replicate or near- replicate content. Documents may be served in different formats: HTML, PDF, and Text for different audiences. Documents may get mirrored to avoid delays or to provide fault tolerance. Algorithms for detecting replicate documents are critical in applications where data is obtained from multiple sources. The removal of replicate documents is necessary, not only to reduce runtime, but also to improve search accuracy. Today, search engine crawlers are retrieving billions of unique URL’s, of which hundreds of millions are replicates of some form. Thus, quickly identifying replicate detection expedites indexing and searching. One vendor’s analysis of 1.2 billion URL’s resulted in 400 million exact replicates found with a MD5 hash. Reducing the collection sizes by tens of percentage point’s results in great savings in indexing time and a reduction in the amount of hardware required to support the system. Last and probably more significant, users benefit by eliminating replicate results. By efficiently presenting only unique documents, user satisfaction is likely to increase.
Result Analysis and Benefits of Detecting Replicate Documents Using MD5 Hash Function
Mr. Pushpendra Singh Tomar,Dr. Maneesh Shreevastava
International Journal of Advanced Computer Research , 2011,
Abstract: The definition of what constitutes a replicate has somewhat different interpretations. For instance, some define a replicate as having the exact syntactic terms and sequence, whether having formatting differences or not. In effect, there are either no difference or only formatting differences and the contents of the data are exactly the same. In any case, data replication happens all the time. In large data warehouses, data replication is an inevitable phenomenon as millions of data are gathered at very short intervals. In this paper we provide a detail result analysis on the basis of our approach and the previous one.
Design and Analysis of an efficient Technique for Compression of ECG Signal
Om Prakash Yadav,Vivek Chandra,Pushpendra Singh
International Journal of Soft Computing & Engineering , 2011,
Abstract: This paper presents Radial Basis Function Neural Network based approach for automatic Power Quality (PQ) disturbance classification. The input features of the Neural Network are extracted using Hilbert Huang Transform (HHT) and they are given as input to the Radial Basis Function Neural network. The data required to develop the network are generated by creating various faults in a test system. The proposed method requires less number of features and less memory space without losing its original property.
Development and Modeling of Hydro-formed circular sheet Using Neural Networks
Binayaka Nahak,Tarun Bhardwaj, Pushpendra Singh Chauhan
International Journal of Engineering Research , 2014,
Abstract: Hydro forming process is one of the new technologies in the manufacturing process in which hollow pieces and sheet works are formed under fluid pressure. This paper deals with the development of a sheet hydro forming (SHF) set up and model to predict the deformation caused by the hydro forming using Artificial Neural Networks(ANN). During the sheet hydro forming (SHF) process, the hydraulic pressures were measured and simultaneously the required hemispherical products were obtained with dome height and specific thickness. To validate result of this set up work, a hemispherical part was formed in a fabricated hydro forming set up using single sheet. The data used to train the Artificial Neural Network (ANN) model was collected from sheet hydro forming (SHF) set up that was designed and built in our laboratory. Single- and two-hidden-layer feed forward neural network models were used to capture the nonlinear correlations between the input(hydraulic pressure, thickness and diameter of work piece) and output (dome height of deformed product). Neural network model was able to predict the deformed dome height, thickness of circular sheet with good accuracy.
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