6,250 research outputs found
The tensile properties of certain age-hardening aluminium-copper-magnesium alloys
Imperial Users onl
Slip casting and extruding shapes of rhemium with metal oxide additives. Part 2: Development of grain stabilized rhenium parts for resistojets
The adaptation of the powdered particle process used for pure metal oxides to the coprocessing of rhenium oxides suitable to produce pure miniature resistojet hardware has been successful. Both slip casting and extrusion processes were used. The metal oxide ZrO2 was stabilized into the cubic phase with Y2O3, for use as a potentially grain stabilizing additive to rhenium. Straight meter long tubing in two sizes are reported. Tubing suitable for resistojet ohmic heater use of fully fired dimensions of nominally 3.8 mm o.d. x 2.2 mm i.d.. and 1.26 mm o.d. x .45 mm i.d. with 0, 0.5, 1.0 and 5.0% zirconia additives were produced for further study. Photomicrographs of these are discussed. The addition of the metal oxide zirconia to rhenium resulted in more dense and less porous parts. The additions of phase stabilized zirconia most likely act as a sintering aid. Tubes of varying diameter were slip cast which were representative of miniature pressure cases
Implementing a simple continuous speech recognition system on an FPGA
Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. We present an FPGA implementations of the decoder based on continuous hidden Markov models (HMMs) representing monophones, and demonstrate that it can process speech 75 times real time, using 45% of the slices of a Xilinx Virtex XCV100
Speech Recognition on an FPGA Using Discrete and Continuous Hidden Markov Models
Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. Any device that can reduce the load on, for example, a PC’s processor, is advantageous. Hence we present FPGA implementations of the decoder based alternately on discrete and continuous hidden Markov models (HMMs) representing monophones, and demonstrate that the discrete version can process speech nearly 5,000 times real time, using just 12% of the slices of a Xilinx Virtex XCV1000, but with a lower recognition rate than the continuous implementation, which is 75 times faster than real time, and occupies 45% of the same device
Validation tests for Ships Supply Support Study
A study is devoted to the development of statistical procedures to be used to test the validity of the Ships Supply Support Study simulator. Some theory is presented for each test procedure, but special emphasis is paid to describing each test in detail so that the tests can be implemented by the project study group. Examples which illustrate the required numerical work are given with each test procedure, and the advantages and disadvantages of each are pointed out. A computer program which will perform the calculations necessary for the more complicated test is included. (Author)supported by the Research and Development Division,
Naval Supply Systems Command, under NAVSUP RDT&E No. TF 38.531.001.http://archive.org/details/validationtestsf00richThis test was supported by the Research and Development Division, Naval Supply Systems Command, under NAVSUP RD
A study of geographical information of the United States of secondary school pupils and their parents
Thesis (Ed.M.)--Boston University, 1947. This item was digitized by the Internet Archive
Direct synthesis of methanol by partial oxidation of methane with oxygen over cobalt modified mesoporous H-ZSM-5 catalyst
This work was funded by International Collaboration Research Grant UI No.1832/H2.R12/HKP.05.00 Perjanjian/2014.Peer reviewedPublisher PD
Reconfigurable Computing for Speech Recognition: Preliminary Findings
Continuous real-time speech recognition is a highly computationally-demanding task, but one which can take good advantage of a parallel processing system. To this end, we describe proposals for, and preliminary findings of, research in implementing in programmable logic the decoder part of a speech recognition system. Recognition via Viterbi decoding of Hidden Markov Models is outlined, along with details of current implementations, which aim to exploit properties of the algorithm that could make it well-suited for devices such as FPGAs. The question of how to deal with limited resources, by reconfiguration or otherwise, is also addressed
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