Updating Markov models based on speech input and additional information for automated telephone directory assistance

1998 ◽  
Vol 103 (2) ◽  
pp. 648
Author(s):  
Gregory J. Bielby
Keyword(s):  
Markov Models ◽  
Speech Input ◽  
Additional Information ◽  
Telephone Directory ◽  
Directory Assistance

Automated Pattern Recognition in Load Profiles of Milling Operations

2015 ◽  
Vol 805 ◽  
pp. 180-186 ◽  
Author(s):  
Arnim Reger ◽  
Hans Henrik Westermann ◽  
Ana Paula Aires
Keyword(s):  
Pattern Recognition ◽  
Performance Indicators ◽  
Markov Models ◽  
Key Performance Indicators ◽  
Specific Power ◽  
Production Plant ◽  
Manufacturing Plants ◽  
Additional Information ◽  
Milling Operations ◽  
Power And Energy

Due to the introduction of an energy management system, a lot of existing manufacturing plants were equipped with energy measurement systems. With sufficient sample rates those retrofitted energy measuring systems could provide additional information beside active power and energy consumption. Each production plant is characterized by a process and product specific power consumption with an associated power signal. In this paper a method to determine the information content in power signals of milling operations is discussed. By using the cross correlation function and hidden markov models (HMM) for operation recognition and automatic derivation of energy key performance indicators (EnPI) can be realized. In addition, further production related key performance indicators (KPI) can be derived with pattern recognition in load and current profiles.

Large-vocabulary continuous speech recognition algorithm applied to a multi-modal telephone directory assistance system

1994 ◽  
Vol 15 (3-4) ◽  
pp. 301-310 ◽  
Author(s):  
Yasuhiro Minami ◽  
Kiyohiro Shikano ◽  
Satoshi Takahashi ◽  
Tomokazu Yamada ◽  
Osamu Yoshioka ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Recognition Algorithm ◽  
Assistance System ◽  
Continuous Speech ◽  
Continuous Speech Recognition ◽  
Large Vocabulary ◽  
Telephone Directory ◽  
Directory Assistance

scholarly journals A Database of Bacterial Lipoproteins (DOLOP) with Functional Assignments to Predicted Lipoproteins

2006 ◽  
Vol 188 (8) ◽  
pp. 2761-2773 ◽  
Author(s):  
M. Madan Babu ◽  
M. Leena Priya ◽  
A. Tamil Selvan ◽  
Martin Madera ◽  
Julian Gough ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Information Exchange ◽  
Markov Models ◽  
Signal Sequence ◽  
Functional Domain ◽  
Predictive Algorithm ◽  
Additional Information ◽  
Primary Sequence Analysis ◽  
Functional Classes ◽  
Search Facility

ABSTRACT Lipid modification of the N-terminal Cys residue (N-acyl-S-diacylglyceryl-Cys) has been found to be an essential, ubiquitous, and unique bacterial posttranslational modification. Such a modification allows anchoring of even highly hydrophilic proteins to the membrane which carry out a variety of functions important for bacteria, including pathogenesis. Hence, being able to identify such proteins is of great value. To this end, we have created a comprehensive database of bacterial lipoproteins, called DOLOP, which contains information and links to molecular details for about 278 distinct lipoproteins and predicted lipoproteins from 234 completely sequenced bacterial genomes. The website also features a tool that applies a predictive algorithm to identify the presence or absence of the lipoprotein signal sequence in a user-given sequence. The experimentally verified lipoproteins have been classified into different functional classes and more importantly functional domain assignments using hidden Markov models from the SUPERFAMILY database that have been provided for the predicted lipoproteins. Other features include the following: primary sequence analysis, signal sequence analysis, and search facility and information exchange facility to allow researchers to exchange results on newly characterized lipoproteins. The website, along with additional information on the biosynthetic pathway, statistics on predicted lipoproteins, and related figures, is available at http://www.mrc-lmb.cam.ac.uk/genomes/dolop/ .

Cumulative Trauma Disorders among Telephone Directory Assistance Operators

1997 ◽  
Vol 9 (1) ◽  
pp. 140 ◽  
Author(s):  
Hae Kwan Cheong ◽  
Byung Soon Choi ◽  
Ji Yong Kim ◽  
Sun Hee Yu ◽  
Hyun Sul Lim ◽  
...  
Keyword(s):  
Cumulative Trauma Disorders ◽  
Cumulative Trauma ◽  
Telephone Directory ◽  
Trauma Disorders ◽  
Directory Assistance

Production of New and Revised A.A.V.S.O. Charts

1979 ◽  
Vol 46 ◽  
pp. 368
Author(s):  
Clinton B. Ford
Keyword(s):  
Variable Star ◽  
Standard Form ◽  
Original Data ◽  
University Of Pennsylvania ◽  
Standard Format ◽  
Additional Information ◽  
The Gift ◽  
The University

A “new charts program” for the Americal Association of Variable Star Observers was instigated in 1966 via the gift to the Association of the complete variable star observing records, charts, photographs, etc. of the late Prof. Charles P. Olivier of the University of Pennsylvania (USA). Adequate material covering about 60 variables, not previously charted by the AAVSO, was included in this original data, and was suitably charted in reproducible standard format.Since 1966, much additional information has been assembled from other sources, three Catalogs have been issued which list the new or revised charts produced, and which specify how copies of same may be obtained. The latest such Catalog is dated June 1978, and lists 670 different charts covering a total of 611 variables none of which was charted in reproducible standard form previous to 1966.

Convergent Beam Electron Diffraction

1978 ◽  
Vol 36 (3) ◽  
pp. 304-315
Author(s):  
G. Lehmpfuhl
Keyword(s):  
Electron Diffraction ◽  
Diffraction Pattern ◽  
Crystal Surface ◽  
Diffraction Spot ◽  
Crystal Thickness ◽  
Large Area ◽  
Electron Microscopic ◽  
Additional Information ◽  
Microscopic Investigations

Introduction In electron microscopic investigations of crystalline specimens the direct observation of the electron diffraction pattern gives additional information about the specimen. The quality of this information depends on the quality of the crystals or the crystal area contributing to the diffraction pattern. By selected area diffraction in a conventional electron microscope, specimen areas as small as 1 µ in diameter can be investigated. It is well known that crystal areas of that size which must be thin enough (in the order of 1000 Å) for electron microscopic investigations are normally somewhat distorted by bending, or they are not homogeneous. Furthermore, the crystal surface is not well defined over such a large area. These are facts which cause reduction of information in the diffraction pattern. The intensity of a diffraction spot, for example, depends on the crystal thickness. If the thickness is not uniform over the investigated area, one observes an averaged intensity, so that the intensity distribution in the diffraction pattern cannot be used for an analysis unless additional information is available.

Microtubule nucleation sequence studied by time-resolved x-ray scattering and electron microscopy

1983 ◽  
Vol 41 ◽  
pp. 766-767
Author(s):  
Eva-Maria Mandelkow ◽  
Eckhard Mandelkow ◽  
Joan Bordas
Keyword(s):  
Electron Microscopy ◽  
Dynamic Equilibrium ◽  
Time Resolved ◽  
X Ray ◽  
Additional Information ◽  
X Ray Scattering ◽  
Low Concentrations ◽  
Microtubule Growth ◽  
Ray Patterns ◽  
Ray Scattering

When a solution of microtubule protein is changed from non-polymerising to polymerising conditions (e.g. by temperature jump or mixing with GTP) there is a series of structural transitions preceding microtubule growth. These have been detected by time-resolved X-ray scattering using synchrotron radiation, and they may be classified into pre-nucleation and nucleation events. X-ray patterns are good indicators for the average behavior of the particles in solution, but they are difficult to interpret unless additional information on their structure is available. We therefore studied the assembly process by electron microscopy under conditions approaching those of the X-ray experiment. There are two difficulties in the EM approach: One is that the particles important for assembly are usually small and not very regular and therefore tend to be overlooked. Secondly EM specimens require low concentrations which favor disassembly of the particles one wants to observe since there is a dynamic equilibrium between polymers and subunits.

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