ABSTRACT

This test method covers determination of the compressive strength of hydraulic cement mortars, using 2-in. or cube specimens.Test Method C 349 provides an alternative procedure for this determination (not to be used for acceptance tests). This test method covers the application of the test using either inch-pound or SI units. The values stated in either system shall be regarded separately as standard. Within the text, the SI units are shown in brackets. ....etc

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To get full information or details of compressive strength of cement total procedure please have a look on the pages

http://seminarsprojects.net/Thread-standard-test-method-for-compressive-strength-of-hydraulic-cement-mortars?pid=25291&mode=threaded

if you again feel trouble on compressive strength of cement total procedure please reply in that page and ask specific fields ....etc

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My name harpreet singh from patiala ,Punjab
I have equipment to check the compression of mild steel . please send me a experiment repot of compressive strength of mildsteel.
compressive strength of mild steel whole experiment with observation? ....etc

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PLS SEND ME PPT OF Bubble-Sensing: A NEW paradigm for Binding a Sensing Task to the Physical World using mobile phones ....etc

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ENERGY MINIMISATION TECHNIQUE IN
WIRELESS SENSOR NETWORK USING
COMPRESSIVE SENSING.
THESIS PRELIMINARY REPORT

Submitted by
REJIRAM R
Third Semester,M.Tech
Applied Electronics and Instrumentation




CHAPTER 1
INTRODUCTION
Compressed sensing (CS) is a new method of signal and image measurement and
reconstruction that takes advantage of the fact that many signals observed have sparse
representation under some basis. CS is an emerging model based framework for
signal recovery at a rate significantly be ....etc

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to get information about the topic Remote sensing, image processing in remote sensing full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-parallel-computing-in-remote-sensing-data-processing

http://seminarsprojects.net/Thread-parallel-computing-in-remote-sensing-data-processing?pid=45385 ....etc

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Abstract

This paper presents an alternative approach to speech enhancement by using compressed sensing (CS). CS is a new sampling theory, which states that sparse signals can be reconstructed from far fewer measurements than the Nyquist sampling. As such, CS can be exploited to reconstruct only the sparse components (e.g., speech) from the mixture of sparse and non-sparse components (e.g., noise). This is possible because in a time-frequency representation, speech signal is sparse whilst most noise is non-sparse. Derivation shows that on avera ....etc

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Efficient Coverage Maintenance Based
On Probabilistic Distributed Detection


ABSTRACT:
A wireless sensor network (WSN) is a wireless network which was specially discovered to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion. It consists of spatially distributed autonomous sensors to detect the conditions. Now-a-days many wireless sensor networks face the critical challenge of keep maintain ....etc

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ABSTRACT
This report present a novel idea to capture and represent compressible signals for transmission and storage at a rate below the Nyquist rate. This method is known as compressive sampling/sensing employs non adaptive linear projections that preserve the structure of the signal. The signal is reconstruced from these projections using optimization techniques.



TABLE OF CONTENTS
1 Introduction 1
2 Data Compression 3
2.1 Types of Data Compression . . . . . . . . . . . . . . . . . . . . . . 5
2.1.1 Lossy ....etc

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Presented by:
Hong Lu
Nicholas D. Lane
Shane B. Eisenman
Andrew T. Campbell


Abstract

We propose Bubble-Sensing, a new sensor network abstraction that allows mobile phones users to create a binding between tasks (e.g., take a photo, or sample audio every hour indefinitely) and the physical world at locations of interest, that remains active for a duration set by the user. We envision mobile phones being able to affix task bubbles at places of interest and then receive sensed data as it becomes available in a delay-to ....etc

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