To know more about approximate entropy based epileptic eeg please click the page link below:
http://academypublisherijrte/vol01/no01/ijrte0101307312.pdf ....etc

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Analytical Reasoning
Ordering
Problem:1& 2
Raksha is younger than Saksha and older than Sita. Anju is younger than Manju and older than Sanju. Manju is younger than Sita and older than Jugal. Jugal is younger than Sanju and older than Mughal. Saksha is younger than Beena and older than Heena. Heena is older than Raksha.
Ordering
Who is the Youngest?
Anju
Sanju
Jugal
Mughal
Who precedes Sanju, Jugal, Mughal in age?
Manju
Sita
Anju
Raksha
Ordering
Solution:1& 2
The sequence is
Beena > Saksha > Heena ....etc

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to get information about the topic automatic milk machine in india related topic refer the page link bellow

http://seminarsprojects.net/Thread-milking-machine-full-report ....etc

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DISTRIBUTED ALGORITHMS FOR CONSTRUCTING APPROXIMATE MINIMUM SPANNING TREES IN WIRELESS SENSOR NETWORKS --PARALLEL AND DISTRIBUTED SYSTEMS

While there are distributed algorithms for the minimum spanning tree (MST) problem, these algorithms require relatively large number of messages and time, and are fairly involved, making them impractical for resource-constrained networks such as wireless sensor networks. In such networks, a sensor has very limited power, and any algorithm needs to be simple, local, and energy efficient. Motivated by these ....etc

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Abstract
Based on the concept of incompatible factor, this
paper introduces further the principle of minimal
incompatibility, and use this principle to improve the
triple I method. In addition, by the principles of
maximal support and minimal incompatibility the
solutions of the problems of Fuzzy Modus Ponens and
Fuzzy Modus Tollens are unified. The reason why the
new method is more reasonable than the triple I
method is analyzed, and the new method is
generalized by considering two different types of
implication operators.
K ....etc

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Efficient Approximate Query Processing in Peer-to-Peer Networks

Abstract Peer-to-peer (P2P) databases are becoming prevalent on the Internet for distribution and sharing of documents, applications, and other digital media. The problem of answering large-scale ad hoc analysis queries, for example, aggregation queries, on these databases poses unique challenges. Exact solutions can be time consuming and difficult to implement, given the distributed and dynamic nature of P2P databases. In this paper, we present novel sampling-based techniques ....etc

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Approximate Minimum Energy Multicasting in Wireless Ad-Hoc Networks (VC++)
IEE Transactions on Mobile Computing, Vol. 5,

Abstract:
A wireless ad hoc network consists of mobile nodes that are equipped with energy-limited batteries. As mobile nodes are battery-operated, an important issue in such a network is to minimize the total power consumption for each operation. Multicast is one of fundamental operations in any modern telecommunication network including wireless ad hoc networks. Given a multicast request consisting of a source ....etc

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Fuzzy Logic and Fuzzy Sets


History

Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories developed the first fuzz ....etc

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Ocean of Reasoning



Translators Introduction
Homage to Man jus r in gratitude for his inspiration of the great teachers of
the Maha ya na tradition whose insight and care in composing their treatises
have made this work possible.
The reader of this translation of an early fifteenth-century Tibetan philosophical
text will have to get used to the heavily outlined prose style used by
Tsong khapa and other Tibetan scholars in the composition of such texts. So
let us get s ....etc

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Approximate dynamic programming with a fuzzy parameterization



Introduction
Dynamic programming (DP) is a powerful paradigm for solving
optimal control problems, thanks to its mild assumptions
on the controlled process, which can be nonlinear or stochastic
(Bertsekas, 2007; Bertsekas & Tsitsiklis, 1996). In the DP framework,
a model of the process is assumed to be available, and the
immediate performance is measured by a scalar reward signal. The
controller then maximizes t ....etc

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