MICROPHONES AND SOUND BASICS


Microphone

Microphone is a transducer.It converts sound wave (acoustical energy) into electrical energy

Five important characteristics of microphone

Operating principle

Frequency response

Directionality of microphone

Electrical output and

Physical design of the microphone

Pressure-operated Microphones

Sound pressure is applied on one side of the diaphragm.

Electrical output is proportional to the sound pressur ....etc

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1. Implementation of artificial eye for Intelligent Line Following Robot application
2. Bluetooth based Robot Control for Metal Detection Applications
3. Autonomous Guide Cane for blind or visually impaired travelers using IR
4. Hand gesture recognition technology based wireless surveillance bomb diffusing robot with mobile jamming technique using MEMS technology
5. Remote GSM Mobile phone controlled Robotic Arm with Base Rotation, Elbow and Wrist Motion with a Functional Gripper
6. Intelligent Autonomous six legged robot to operate on une ....etc

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Authors:
Dr.C.Christober Asir Rajan
Abstract:
This paper presents a new approach to solve the short-term unit commitment problem using hybrid algorithm based on Evolutionary Programming, Simulated Annealing and Tabu Search Method. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also means that it is desirable to find the optimal generating unit commitment in the power system for the next H hours. Evolutionary program ....etc

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Elective for VII Semester (Mechanical and Electrical) EEM 823

SYSTEMS OPTIMIZATION USING EVOLUTIONARY ALGORITHM

Syllabus
Unit I
Introduction to Optimization; Single Objective Optimization (SOP); Deterministic Optimization Methods (Gradient Descent, LP and QP); Stochastic Optimization Methods (random search, Simulated Annealing, Evolutionary Algorithms); Difficulties in Single Objective Optimization; Difficulties with Classical Optimization algorithms; Need for Evolutionary Algorithms.
Unit II
Evolu ....etc

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Application Note 42047 Power Factor Correction (PFC) Basics


What is Power Factor?
Power factor (pf) is defined as the ratio of the real power (P)
to apparent power (S), or the cosine (for pure sine wave for
both current and voltage) that represents the phase angle
between the current and voltage waveforms (see Figure 1).
The power factor can vary between 0 and 1, and can be either
inductive (lagging, pointing up) or capacitive (leading, pointing
down). In order to reduce an ....etc

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I want to know how to programe about evolutionary game by matlab in cognitive radio. Can you tell me ? Thank you ....etc

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To get full information or details of nano robotics please have a look on the pages

http://seminarsprojects.net/Thread-nanorobotics-full-report?pid=15705

http://seminarsprojects.net/Thread-nanorobotics?page=2

http://seminarsprojects.net/Thread-BIO-NANO-ROBOTS

if you again feel trouble on nano robotics please reply in that page and ask specific fields in nano robotics ....etc

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To get full information or details of doubly feed induction generator please have a look on the pages

http://seminarsprojects.net/Thread-doubly-fed-induction-motor-full-report

if you again feel trouble on doubly feed induction generator please reply in that page and ask specific fields in doubly feed induction generator ....etc

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The evolutionary engine and the mind machine:
A design-based study of adaptive change

by

Christopher Complin


Abstract

The objectives of this thesis are to elucidate adaptive change from a design-stance, provide a detailed examination of the concept of evolvability and computationally model agents which undergo both genetic and cultural evolution. Using Sloman s (1994) design-based methodology, Darwinian evolution by natural selection is taken as a starting point. The concept of adaptive change is analys ....etc

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More Information and About evolutionary robotics

Evolutionary robotics is a new technique for the automatic creation of autonomous robots. Inspired by the Darwinian principle of selective reproduction of the fittest, it views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention. Drawing heavily on biology and ethology, it uses the tools of neural networks, genetic algorithms, dynamic systems, and biomorphic engineering. The resulting robots share wit ....etc

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