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Showing posts from September 3, 2017

magnetic hand is a virtual observation or perspective aspect

Magnetic hand  from a long time i think that is it a penny of possibility of a man can control iron rods or any metallic substances .then after long research about on this  project . yes it is possible to make a hand or a glufs that can control the any kind of metallic pieces. what are the concept of magnetic hand  from the normal aspects we can make with ancient type model like make the glufs or hand cover with the help of the electromagnetic pulse power generator.with the help of this ancient type model we can improve it and with the help of synchronization of the clock pulse (that is to be added when improved version of the magnetic hand is used) ,and due to the integrated circuits and normal integrated circuit chips.if we develop the mind sensing amplifiers that task is really feasible to operate and handle the magnetic hand. what are the problems arise when it would be in fabrication  heavy circuitry insufficient battery (high capacity tends to heavy weight) whe

gate preparation sites and links

1. Electrical ENGINEERING –EE Section:2- Electric Circuits   Network graph, KCL, KVL, Node and Mesh analysis, Transient response of dc and ac networks, Sinusoidal steady‐state analysis, Resonance, Passive filters, Ideal current and voltage sources, Thevenin’s theorem, Norton’s theorem, Superposition theorem, Maximum power transfer theorem, Two‐port networks, Three phase circuits, Power and power factor in ac circuits.   Section 3: Electromagnetic Fields Coulomb's Law, Electric Field Intensity, Electric Flux Density, Gauss's Law, Divergence, Electric field and potential due to point, line, plane and spherical charge distributions, Effect of dielectric medium, Capacitance of simple configurations, Biot‐Savart’s law, Ampere’s law, Curl, Faraday’s law, Lorentz force, Inductance, Magnetomotive force, Reluctance, Magnetic circuits,Self and Mutual inductance of simple configurations.   Section4:- Signals and Systems Representation of continuous and discrete‐time sig

transducers and sensors

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Measurement is an important subsystem of a mechatronics system. Its main function is to collect the information on system status and to feed it to the micro-processor(s) for controlling the whole system. Measurement system comprises of sensors, transducers and signal processing devices. Today a wide variety of these elements and devices are available in the market. For a mechatronics system designer it is quite difficult to choose suitable sensors/transducers for the desired application(s). It is therefore essential to learn the principle of working of commonly used sensors/transducers. A detailed consideration of the full range of measurement technologies is, however, out of the scope of this course. Readers are advised to refer “Sensors for mechatronics” by Paul P.L. Regtien, Elsevier, 2012 [2] for more information. Sensors in manufacturing are basically employed to automatically carry out the production operations as well as process monitoring activities. Sensor technology has

brain monitoring Electroencephalography (EEG)

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Electroencephalography  ( EEG ) is an  electrophysiological  monitoring method to record electrical activity of the  brain . It is typically noninvasive, with the  electrodes  placed along the  scalp , although invasive electrodes are sometimes used such as in  electrocorticography . EEG measures voltage fluctuations resulting from  ionic current  within the  neurons  of the  brain . [1]  In clinical contexts, EEG refers to the recording of the brain's spontaneous electrical activity over a period of time, [1]  as recorded from multiple  electrodes  placed on the scalp. Diagnostic applications generally focus either on  event-related potentials  or on the  spectral content of EEG. The former investigates potential fluctuations time locked to an event like stimulus onset or button press. The latter analyses the type of  neural oscillations  (popularly called "brain waves") that can be observed in EEG signals in the frequency domain. EEG is most often used to diagnose