Mobile Radio Systems Historical Milestones to 1995




Early Milestones

1885: Heinrich Hertz—First radio
transmission across a laboratory using
coils and gaps
1897: Guglielmo Marconi—First radio
transmission using a pole on a mast
over 18 miles to a tugboat
1921 and 1923: One-way police radio in
Detroit and London, respectively


Mid-century Milestones

1927: First international spectrum
management conference (for carriers up to
1 ....etc

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A Review of Hidden Markov Models for Context-Based Classification
Historical Note
• “Classification in Context” was well-studied in pattern recognition in the 60’s and 70’s
– e.g, recursive Markov-based algorithms were proposed, before hidden Markov algorithms and models were fully understood
• Applications in
– OCR for word-level recognition
– remote-sensing pixel classification
Context-Based Classification Problems
• Medical Diagnosis
– classification of a patient’s state over ....etc

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HI i would like to get a detailed explanation of this project how it will be done and if possible send me the data flow or class diagram of the whole project so tat i can get a clear idea of this project..


Please send me the above asked to [email protected] and please specify your number for i can call to clarify if any things i need.



THANK YOU
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Hello,
I want to know the details about this topic managing multidimensional historical aggregate data in unstructured p2p networks.
I have some queries. But before that I should understand this subject. If the techniques are available please forward me. ....etc

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Domain
KNOWLEDGE AND DATA ENGINEERING

Technology
JAVA

Abstract:
MANAGING MULTIDIMENSIONAL HISTORICAL AGGREGATE DATA IN UNSTRUCTURED P2P NETWORKS

A P2P-based framework supporting the extraction of aggregates from historical multidimensional data is proposed, which provides efficient and robust query evaluation. When a data population is published, data are summarized in a synopsis, consisting of an index built on top of a set of subsynopses (storing compressed representations of distinct data portions). The index and the subsy ....etc

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it helps an organisation to look after their day to day expanses and losses. ....etc

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INTRODUCTION
Image Reconstruction
As name implies it is the process of reconstructing the three dimensional
shape of a single frame image.
principle
The principle of 3D-reconstruction is that, the object's three dimensions
are acquired by the conversion from the shade of gray to the depth of the
information of the image.


The basic design concept
The object surface shadeof gray can be expressed as
E(x,y) = I(x,y)cos
Where
I(x,y) = Light intensity of the optical source.
 = Object surface re
ecti ....etc

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