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This paper motivates the use of Dynamic Mel-Frequency Cepstral Coefficient (DMFCC) feature and combination of DMFCC and MFCC features for robust language and text-independent speaker identification. MFCC feature, modeled on the human auditory system has been the widely used feature for speaker recognition because of its less vulnerability to noise(More)
Structural biology efforts in recent years have generated numerous co-crystal structures of bioactive small molecules interacting with their plant targets. These studies include the targets of various phytohormones, pathogen-derived effectors, herbicides and other bioactive compounds. Here we discuss that this collection of structures contains excellent(More)
—In this paper, a new method is given for reducing the size and/or increasing the gain and bandwidth of Planar Inverted F Antenna (PIFA). Slow Wave Enhancement (SWE) factor is used inorder to achieve miniaturization. This paper investigates the feasibility of utilizing antenna with capacitive load to reduce the overall length. The antenna is being loaded(More)
Chemical probes have great potential for identifying functional residues in proteins in crude proteomes. Here we studied labeling sites of chemical probes based on sulfonyl fluorides (SFs) on plant and animal proteomes. Besides serine proteases and many other proteins, SF-based probes label Tyr residues in glutathione transferases (GSTs). The labeled GSTs(More)
In recent years, the development and demand of multimedia product grows increasingly fast, contributing to insufficient bandwidth of network and storage of memory device. Therefore, the theory of data compression became more significant for reducing data redundancy to save more hardware space and transmission bandwidth. Cloud computing on the other hand;(More)
Computers' required random numbers initially, for simulations and numerical computations like Monte Carlo calculations. Random number generators offer an important contribution to many communication systems for security. They are critical components in computational science. However the tradeoff between quality and computational performance is an issue for(More)
This paper proposes fusion and addition techniques of vocal tract features such as Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Mel Frequency Cepstral Coefficients (DMFCC) in speaker identification. Feature extraction plays an important role as a front end processing block in Speaker Identification (SI) process. Mel frequency features are used to(More)
In this paper, the performance of speaker modeling schemes such as vector quantization (VQ) and Gaussian mixture model (GMM) is compared for speaker identification. Along with the effective size of feature set, model based approaches are typically used as a solution for robustness issues of speaker recognition systems. Gaussian Mixture Model (GMM) is(More)
Pseudomonas syringae pv. tomato DC3000 (PtoDC3000) is an extracellular model plant pathogen, yet its potential to produce secreted effectors that manipulate the apoplast has been under investigated. Here we identified 131 candidate small, secreted, non-annotated proteins from the PtoDC3000 genome, most of which are common to Pseudomonas species and(More)
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