Hexamethylmelamine (HMM) is metabolized by rat hepatic microsomal preparat ions to reactive species which covalent ly bind to microsomal protein and to calf thymus DNA added to microsomal incubation mixtures. Covalent binding to macromolecules is dependent on the presence of molecular oxygen and reduced nicot inamide adenine dinucleot ide phosphate and is catalyzed by cytochrome P-450 monooxyge...

In the state-of-the-art automatic speech recognition (ASR) systems, adaption techniques are used to the mitigate performance degradation caused by the mismatch in the training and testing procedure. Although there are bunch of adaption techniques for the hidden Markov models (HMM)-GMM-based system[3], there is rare work about the adaption in the hybrid artificial neural network (ANN)/HMM-based ...

A variety of Coupled HMMs (CHMMs) have recently been proposed as extensions of HMM to better characterize multiple interdependent sequences. This paper introduces a novel distance coupled HMM. It then compares the performance of several HMM and CHMM models for a multi-channel EEG classification problem. The results show that, of all approaches examined, the multivariate HMM that has low computa...

There are many artificial intelligence approaches used in the development of Automatic Speech Recognition (ASR), hybrid approach is one of them. The common hybrid method in speech recognition is the combination of Artificial Neural Network (ANN) and Hidden Markov Model (HMM). The hybrid ANN/HMM is able to classify the phoneme model and to combine the strength of HMM in sequential modeling struc...

To study the role of conventional myosin in nonmuscle cells, we determined the cytoskeletal organization and physiological responses of a Dictyostelium myosin-defective mutant. Dictyostelium hmm cells were created by insertional mutagenesis of the myosin heavy chain gene (De Lozanne, A., and J. A. Spudich. 1987. Science (Wash. DC). 236: 1086-1091). Western blot analysis using different mAbs con...

Initially, we asked which (of 10) smooth muscle myosin head residues responds to MgADP or MgATP binding with enhanced fluorescence emission (Trp-441 and Trp-512 were leading candidates)? To decide, we prepared sham-mutated smooth muscle heavy meromyosin (HMM), W441F HMM, and W512F HMM. On adding MgATP, emission of wild-type and W441F HMMs increased by 25-27%, but that of W512F HMM by 5%. So, in...

We propose an information theoretic framework for quantitative assessment of acoustic modeling for hidden Markov model (HMM) based automatic speech recognition (ASR). Acoustic modeling yields the probabilities of HMM sub-word states for a short temporal window of speech acoustic features. We cast ASR as a communication channel where the input sub-word probabilities convey the information about ...

In this paper, we present a reliable and accurate low computational complexity classifier for a fence intrusion detection sensor. The sensor, a standalone perimeter security sensor, classifies six different types of intrusion attempts on chain-link fences. The designed classifier, a dynamic sequence analyzer followed by a static classifier, obtains more than 95 percent accuracy in intrusion cla...

In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR) module that carries out a complete search in the compressed-domain followed by a 1-D HMM-based face recognition (1D-HMM FR) module which refines the search based on a candidate list provided by the first module. We al...

This paper presents a neural network based verification method in an HMM-based on-line Korean handwriting recognition system. It penalizes unreasonable grapheme hypotheses and complements global and structural information to the HMM-based recognition system, which is intrinsically based on local information. In the proposed system, each grapheme has one neural network verifier as well as one HM...