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Below are the scanned copy of Kerala Public Service Commission (KPSC) Question Paper with answer keys of Exam Name 'LECTURER IN ELECTRONICS AND INSTRUMENTATION POLYTECHNICS TECHNICAL EDUCATION' And exam conducted in the year 2016. And Question paper code was '069/2016'. Medium of question paper was in Malayalam or English . Booklet Alphacode was 'A'. Answer keys are given at the bottom, but we suggest you to try answering the questions yourself and compare the key along wih to check your performance. Because we would like you to do and practice by yourself.
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1£ ശ൦ is the resistance connected in the feedback path and R, is a series resistance
connected between inverting terminal and source of an OPAMP, then the voltage gain of the
OPAMP inverting amplifier is :
ಎಡಿ (B ع
ல ம ® R,
க =K
© 1 5 M 14 7
In a typical instrumentation amplifier that uses 3 OPAMPs :
(ಹ) OPAMPs connected to the inputs are voltage followers and the OPAMP connected
to the output is a differential amplifier
(B) OPAMPs connected to the inputs are inverting amplifiers and the OPAMP
connected to the output is a summing amplifier
)0 OPAMPs connected to the inputs are voltage followers and the OPAMP connected
to the output is a summing amplifier
(D) OPAMPs connected to the inputs are non-inverting amplifiers and the OPAMP
connected to the output is a summing amplifier
A device that automatically monitor and indicate whether the movement limits of a
particular device have been exceeded is :
(A) Proximity switch (8) Safety switch
(C) Transfer switch (D) Limit switch
Which of the following actuators converts energy formed by vacuum or compressed air at
high pressure into linear or rotatory motion :
(മ Hydraulic (B) விலட
(0 Pneumatic (D) Thermal
Which of the following is not a requirement for a cascade control system?
(A) The inner loop has influence over outer loop
(B) The inner loop is faster than the outer loop
(©) The inner loop disturbances are severe than the outer loop disturbances
(D) The inner loop is slower than the outer 1000
The value of the learning rate parameter in a Multi-Layer Feed Forward Neural Network
(MLFFNN) ranges between :
ക 0-1 7) 0-10
(©) 0.1- 0.5 0) 1- 100
11 069/2016
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