SlideShare a Scribd company logo
Dr. S.Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
ICE 4010: MICRO ELECTRO
MECHANICAL SYSTEMS (MEMS)
Lecture #05
CMOS Logic Gates
Dr. S. Meenatchi Sundaram
Email: meenasundar@gmail.com
1
CMOS NAND Gate
2Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
A B Y
0 0
0 1
1 0
1 1
A
B
Y
CMOS NAND Gate
3Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
A B Y
0 0 1
0 1
1 0
1 1
A=0
B=0
Y=1
OFF
ON ON
OFF
CMOS NAND Gate
4Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
A B Y
0 0 1
0 1 1
1 0
1 1
A=0
B=1
Y=1
OFF
OFF ON
ON
CMOS NAND Gate
5Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
A B Y
0 0 1
0 1 1
1 0 1
1 1
A=1
B=0
Y=1
ON
ON OFF
OFF
CMOS NAND Gate
6Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
A B Y
0 0 1
0 1 1
1 0 1
1 1 0
CMOS NAND Gate
7Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
Series and Parallel
8
• nMOS: 1 = ON
• pMOS: 0 = ON
• Series: both must be ON
• Parallel: either can be ON
Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
(a)
a
b
a
b
g1
g2
0
0
a
b
0
1
a
b
1
0
a
b
1
1
OFF OFF OFF ON
(b)
a
b
a
b
g1
g2
0
0
a
b
0
1
a
b
1
0
a
b
1
1
ON OFF OFF OFF
(c)
a
b
a
b
g1 g2 0 0
OFF ON ON ON
(d) ON ON ON OFF
a
b
0
a
b
1
a
b
11 0 1
a
b
0 0
a
b
0
a
b
1
a
b
11 0 1
a
b
g1 g2
Compound Gates
9
• Compound gates can do any inverting function
• Ex:
Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
(AND-AND-OR-INVERT, AOI22)Y A B C D= +i i
A
B
C
D
A
B
C
D
A B C D
A B
C D
B
D
Y
A
C
A
C
A
B
C
D
B
D
Y
(a)
(c)
(e)
(b)
(d)
(f)
Compound Gates
10
• O3AI
• Ex:
Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
( )Y A B C D= + + i
A B
Y
C
D
DC
B
A
Compound Gates
11Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
Compound Gates
12Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
Compound Gates
13Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
a b ā ࢈ഥ T1 T2 T3 T4 T5 T6 T7 T8 Y
0 0 1 1 OFF ON ON ON OFF ON OFF OFF OFF
0 1 1 0 ON ON ON OFF OFF OFF OFF ON ON
1 0 0 1
1 1 0 0
T1
T2
T3
T4
T5
T6
T7
T8
Compound Gates
14
• A EXOR B
Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal

More Related Content

What's hot

Circular convolution Using DFT Matlab Code
Circular convolution Using DFT Matlab CodeCircular convolution Using DFT Matlab Code
Circular convolution Using DFT Matlab Code
Bharti Airtel Ltd.
 
Chapter5 - The Discrete-Time Fourier Transform
Chapter5 - The Discrete-Time Fourier TransformChapter5 - The Discrete-Time Fourier Transform
Chapter5 - The Discrete-Time Fourier Transform
Attaporn Ninsuwan
 
Design of IIR filters
Design of IIR filtersDesign of IIR filters
Design of IIR filters
op205
 
CMOS TG
CMOS TGCMOS TG
CMOS TG
aghila1994
 
Silicon on Insulator (SOI) Technology
Silicon on Insulator (SOI) TechnologySilicon on Insulator (SOI) Technology
Silicon on Insulator (SOI) Technology
Sudhanshu Janwadkar
 
Switched capacitor filter
Switched capacitor filter Switched capacitor filter
Switched capacitor filter Minh Anh Nguyen
 
Design of FIR filters
Design of FIR filtersDesign of FIR filters
Design of FIR filters
op205
 
Unit no. 5 cmos logic design
Unit no. 5 cmos logic designUnit no. 5 cmos logic design
Unit no. 5 cmos logic design
swagatkarve
 
Solved problems in waveguides
Solved problems in waveguidesSolved problems in waveguides
Solved problems in waveguides
subhashinivec
 
Butterworth filter design
Butterworth filter designButterworth filter design
Butterworth filter designSushant Shankar
 
Introduction to pic microcontroller
Introduction to pic microcontrollerIntroduction to pic microcontroller
Introduction to pic microcontroller
Siva Kumar
 
Stick Diagram and Lambda Based Design Rules
Stick Diagram and Lambda Based Design RulesStick Diagram and Lambda Based Design Rules
Stick Diagram and Lambda Based Design Rules
Tahsin Al Mahi
 
Notes nyquist plot and stability criteria
Notes nyquist plot and stability criteriaNotes nyquist plot and stability criteria
Notes nyquist plot and stability criteria
Aleksandar Micic
 
Ch7 noise variation of different modulation scheme pg 63
Ch7 noise variation of different modulation scheme pg 63Ch7 noise variation of different modulation scheme pg 63
Ch7 noise variation of different modulation scheme pg 63
Prateek Omer
 
DSP_FOEHU - Lec 11 - IIR Filter Design
DSP_FOEHU - Lec 11 - IIR Filter DesignDSP_FOEHU - Lec 11 - IIR Filter Design
DSP_FOEHU - Lec 11 - IIR Filter Design
Amr E. Mohamed
 
Computing DFT using Matrix method
Computing DFT using Matrix methodComputing DFT using Matrix method
Computing DFT using Matrix method
Sarang Joshi
 
Overlap save method and overlap add method in dsp
Overlap save method and overlap add method in dspOverlap save method and overlap add method in dsp
Overlap save method and overlap add method in dsp
chitra raju
 
All Digital Phase Lock Loop 03 12 09
All Digital Phase Lock Loop 03 12 09All Digital Phase Lock Loop 03 12 09
All Digital Phase Lock Loop 03 12 09
imranbashir
 

What's hot (20)

Comparator
ComparatorComparator
Comparator
 
Circular convolution Using DFT Matlab Code
Circular convolution Using DFT Matlab CodeCircular convolution Using DFT Matlab Code
Circular convolution Using DFT Matlab Code
 
Chapter5 - The Discrete-Time Fourier Transform
Chapter5 - The Discrete-Time Fourier TransformChapter5 - The Discrete-Time Fourier Transform
Chapter5 - The Discrete-Time Fourier Transform
 
Design of IIR filters
Design of IIR filtersDesign of IIR filters
Design of IIR filters
 
CMOS TG
CMOS TGCMOS TG
CMOS TG
 
Silicon on Insulator (SOI) Technology
Silicon on Insulator (SOI) TechnologySilicon on Insulator (SOI) Technology
Silicon on Insulator (SOI) Technology
 
Switched capacitor filter
Switched capacitor filter Switched capacitor filter
Switched capacitor filter
 
Design of FIR filters
Design of FIR filtersDesign of FIR filters
Design of FIR filters
 
Unit no. 5 cmos logic design
Unit no. 5 cmos logic designUnit no. 5 cmos logic design
Unit no. 5 cmos logic design
 
Solved problems in waveguides
Solved problems in waveguidesSolved problems in waveguides
Solved problems in waveguides
 
Butterworth filter design
Butterworth filter designButterworth filter design
Butterworth filter design
 
Introduction to pic microcontroller
Introduction to pic microcontrollerIntroduction to pic microcontroller
Introduction to pic microcontroller
 
Stick Diagram and Lambda Based Design Rules
Stick Diagram and Lambda Based Design RulesStick Diagram and Lambda Based Design Rules
Stick Diagram and Lambda Based Design Rules
 
Folded cascode1
Folded cascode1Folded cascode1
Folded cascode1
 
Notes nyquist plot and stability criteria
Notes nyquist plot and stability criteriaNotes nyquist plot and stability criteria
Notes nyquist plot and stability criteria
 
Ch7 noise variation of different modulation scheme pg 63
Ch7 noise variation of different modulation scheme pg 63Ch7 noise variation of different modulation scheme pg 63
Ch7 noise variation of different modulation scheme pg 63
 
DSP_FOEHU - Lec 11 - IIR Filter Design
DSP_FOEHU - Lec 11 - IIR Filter DesignDSP_FOEHU - Lec 11 - IIR Filter Design
DSP_FOEHU - Lec 11 - IIR Filter Design
 
Computing DFT using Matrix method
Computing DFT using Matrix methodComputing DFT using Matrix method
Computing DFT using Matrix method
 
Overlap save method and overlap add method in dsp
Overlap save method and overlap add method in dspOverlap save method and overlap add method in dsp
Overlap save method and overlap add method in dsp
 
All Digital Phase Lock Loop 03 12 09
All Digital Phase Lock Loop 03 12 09All Digital Phase Lock Loop 03 12 09
All Digital Phase Lock Loop 03 12 09
 

Viewers also liked

Lecture 09 scaling laws
Lecture 09   scaling lawsLecture 09   scaling laws
Lecture 09 scaling laws
Manipal Institute of Technology
 
Lecture 08 mems fabrication - cantilever example
Lecture 08   mems fabrication - cantilever exampleLecture 08   mems fabrication - cantilever example
Lecture 08 mems fabrication - cantilever example
Manipal Institute of Technology
 
Lecture 10,11 Basics of FEM
Lecture 10,11   Basics of FEMLecture 10,11   Basics of FEM
Lecture 10,11 Basics of FEM
Manipal Institute of Technology
 
Control configuration in digital control
Control configuration in digital controlControl configuration in digital control
Control configuration in digital control
Ashvani Shukla
 
Device exchange and calibration
Device exchange and calibration Device exchange and calibration
Device exchange and calibration
Ashvani Shukla
 
A process control primer
A process control primerA process control primer
A process control primerPhilani Ngema
 
DCS and Fieldbus Software installation
DCS and Fieldbus Software installation DCS and Fieldbus Software installation
DCS and Fieldbus Software installation
Ashvani Shukla
 
Lecture 03 overview of micro fabrication
Lecture 03   overview of micro fabricationLecture 03   overview of micro fabrication
Lecture 03 overview of micro fabrication
Manipal Institute of Technology
 
Lecture 06,07 cmos fabrication
Lecture 06,07   cmos fabricationLecture 06,07   cmos fabrication
Lecture 06,07 cmos fabrication
Manipal Institute of Technology
 
Control configuration in digital control
Control configuration in digital controlControl configuration in digital control
Control configuration in digital control
Ashvani Shukla
 
Water analysis from_intake_well_to_boiler_drum-n
Water analysis from_intake_well_to_boiler_drum-nWater analysis from_intake_well_to_boiler_drum-n
Water analysis from_intake_well_to_boiler_drum-npriyank.modi
 
Furnace pressure control
Furnace pressure controlFurnace pressure control
Furnace pressure control
Ashvani Shukla
 
Lecture 04 wafer technology & basics of cmos
Lecture 04   wafer technology & basics of cmosLecture 04   wafer technology & basics of cmos
Lecture 04 wafer technology & basics of cmos
Manipal Institute of Technology
 
Lecture 02 history & characteristics of mems
Lecture 02   history & characteristics of memsLecture 02   history & characteristics of mems
Lecture 02 history & characteristics of mems
Manipal Institute of Technology
 
Split Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan DeminarSplit Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan Deminar
Jim Cahill
 
Electrohydraulic governing system
Electrohydraulic governing systemElectrohydraulic governing system
Electrohydraulic governing system
Ashvani Shukla
 
Combined ff and iec applications
Combined ff and iec applications  Combined ff and iec applications
Combined ff and iec applications
Ashvani Shukla
 
Ratio control system
Ratio control systemRatio control system
Ratio control system
Ashvani Shukla
 
Class 2 design methodology for process control
Class 2   design methodology for process controlClass 2   design methodology for process control
Class 2 design methodology for process control
Manipal Institute of Technology
 
cascade and ratio control word doc
cascade and ratio control word doccascade and ratio control word doc
cascade and ratio control word docUmer Farooq
 

Viewers also liked (20)

Lecture 09 scaling laws
Lecture 09   scaling lawsLecture 09   scaling laws
Lecture 09 scaling laws
 
Lecture 08 mems fabrication - cantilever example
Lecture 08   mems fabrication - cantilever exampleLecture 08   mems fabrication - cantilever example
Lecture 08 mems fabrication - cantilever example
 
Lecture 10,11 Basics of FEM
Lecture 10,11   Basics of FEMLecture 10,11   Basics of FEM
Lecture 10,11 Basics of FEM
 
Control configuration in digital control
Control configuration in digital controlControl configuration in digital control
Control configuration in digital control
 
Device exchange and calibration
Device exchange and calibration Device exchange and calibration
Device exchange and calibration
 
A process control primer
A process control primerA process control primer
A process control primer
 
DCS and Fieldbus Software installation
DCS and Fieldbus Software installation DCS and Fieldbus Software installation
DCS and Fieldbus Software installation
 
Lecture 03 overview of micro fabrication
Lecture 03   overview of micro fabricationLecture 03   overview of micro fabrication
Lecture 03 overview of micro fabrication
 
Lecture 06,07 cmos fabrication
Lecture 06,07   cmos fabricationLecture 06,07   cmos fabrication
Lecture 06,07 cmos fabrication
 
Control configuration in digital control
Control configuration in digital controlControl configuration in digital control
Control configuration in digital control
 
Water analysis from_intake_well_to_boiler_drum-n
Water analysis from_intake_well_to_boiler_drum-nWater analysis from_intake_well_to_boiler_drum-n
Water analysis from_intake_well_to_boiler_drum-n
 
Furnace pressure control
Furnace pressure controlFurnace pressure control
Furnace pressure control
 
Lecture 04 wafer technology & basics of cmos
Lecture 04   wafer technology & basics of cmosLecture 04   wafer technology & basics of cmos
Lecture 04 wafer technology & basics of cmos
 
Lecture 02 history & characteristics of mems
Lecture 02   history & characteristics of memsLecture 02   history & characteristics of mems
Lecture 02 history & characteristics of mems
 
Split Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan DeminarSplit Range Control - Greg McMillan Deminar
Split Range Control - Greg McMillan Deminar
 
Electrohydraulic governing system
Electrohydraulic governing systemElectrohydraulic governing system
Electrohydraulic governing system
 
Combined ff and iec applications
Combined ff and iec applications  Combined ff and iec applications
Combined ff and iec applications
 
Ratio control system
Ratio control systemRatio control system
Ratio control system
 
Class 2 design methodology for process control
Class 2   design methodology for process controlClass 2   design methodology for process control
Class 2 design methodology for process control
 
cascade and ratio control word doc
cascade and ratio control word doccascade and ratio control word doc
cascade and ratio control word doc
 

Similar to Lecture 05 cmos logic gates

Micro Electro Mechanical Systems (MEMS) - Lecture 07
Micro Electro Mechanical Systems (MEMS) - Lecture 07Micro Electro Mechanical Systems (MEMS) - Lecture 07
Micro Electro Mechanical Systems (MEMS) - Lecture 07
Manipal Institute of Technology
 
Class 20 effect of kp, ki & kd and pid control mode
Class 20   effect of kp, ki & kd and pid control modeClass 20   effect of kp, ki & kd and pid control mode
Class 20 effect of kp, ki & kd and pid control mode
Manipal Institute of Technology
 
Lecture 10
Lecture 10Lecture 10
Class 27 pd, pid electronic controllers
Class 27   pd, pid electronic controllersClass 27   pd, pid electronic controllers
Class 27 pd, pid electronic controllers
Manipal Institute of Technology
 
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Manipal Institute of Technology
 
Class 25 i, d electronic controllers
Class 25   i, d electronic controllersClass 25   i, d electronic controllers
Class 25 i, d electronic controllers
Manipal Institute of Technology
 
Online Detection of Shutdown Periods in Chemical Plants: A Case Study
Online Detection of Shutdown Periods in Chemical Plants: A Case StudyOnline Detection of Shutdown Periods in Chemical Plants: A Case Study
Online Detection of Shutdown Periods in Chemical Plants: A Case Study
Manuel Martín
 
METROLAB ENGINEERING PVT LTD
METROLAB ENGINEERING PVT LTDMETROLAB ENGINEERING PVT LTD
METROLAB ENGINEERING PVT LTD
Tushar GHOLAP
 
Class 36 advanced control strategies – dead time compensator, selective con...
Class 36   advanced control strategies – dead time compensator, selective con...Class 36   advanced control strategies – dead time compensator, selective con...
Class 36 advanced control strategies – dead time compensator, selective con...
Manipal Institute of Technology
 
Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...
Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...
Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...
Vijay Choyal
 
srd
srdsrd

Similar to Lecture 05 cmos logic gates (11)

Micro Electro Mechanical Systems (MEMS) - Lecture 07
Micro Electro Mechanical Systems (MEMS) - Lecture 07Micro Electro Mechanical Systems (MEMS) - Lecture 07
Micro Electro Mechanical Systems (MEMS) - Lecture 07
 
Class 20 effect of kp, ki & kd and pid control mode
Class 20   effect of kp, ki & kd and pid control modeClass 20   effect of kp, ki & kd and pid control mode
Class 20 effect of kp, ki & kd and pid control mode
 
Lecture 10
Lecture 10Lecture 10
Lecture 10
 
Class 27 pd, pid electronic controllers
Class 27   pd, pid electronic controllersClass 27   pd, pid electronic controllers
Class 27 pd, pid electronic controllers
 
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
 
Class 25 i, d electronic controllers
Class 25   i, d electronic controllersClass 25   i, d electronic controllers
Class 25 i, d electronic controllers
 
Online Detection of Shutdown Periods in Chemical Plants: A Case Study
Online Detection of Shutdown Periods in Chemical Plants: A Case StudyOnline Detection of Shutdown Periods in Chemical Plants: A Case Study
Online Detection of Shutdown Periods in Chemical Plants: A Case Study
 
METROLAB ENGINEERING PVT LTD
METROLAB ENGINEERING PVT LTDMETROLAB ENGINEERING PVT LTD
METROLAB ENGINEERING PVT LTD
 
Class 36 advanced control strategies – dead time compensator, selective con...
Class 36   advanced control strategies – dead time compensator, selective con...Class 36   advanced control strategies – dead time compensator, selective con...
Class 36 advanced control strategies – dead time compensator, selective con...
 
Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...
Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...
Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride N...
 
srd
srdsrd
srd
 

More from Manipal Institute of Technology

Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...
Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...
Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...
Manipal Institute of Technology
 
Lecture 12 stepper motors - types and working
Lecture 12   stepper motors - types and workingLecture 12   stepper motors - types and working
Lecture 12 stepper motors - types and working
Manipal Institute of Technology
 
Lecture 13 basics of stepper motor
Lecture 13   basics of stepper motorLecture 13   basics of stepper motor
Lecture 13 basics of stepper motor
Manipal Institute of Technology
 
Lecture 11 zeroing synchros
Lecture 11   zeroing synchrosLecture 11   zeroing synchros
Lecture 11 zeroing synchros
Manipal Institute of Technology
 
Lecture 28 pneumatic control devices
Lecture 28   pneumatic control devicesLecture 28   pneumatic control devices
Lecture 28 pneumatic control devices
Manipal Institute of Technology
 
Lecture 27 valve shapes, selection guide
Lecture 27   valve shapes, selection guideLecture 27   valve shapes, selection guide
Lecture 27 valve shapes, selection guide
Manipal Institute of Technology
 
Lecture 26 control valves
Lecture 26   control valvesLecture 26   control valves
Lecture 26 control valves
Manipal Institute of Technology
 
Lecture 23, 24,25 valve types, valve positioners, cavitation & flashing
Lecture 23, 24,25   valve types, valve positioners, cavitation & flashingLecture 23, 24,25   valve types, valve positioners, cavitation & flashing
Lecture 23, 24,25 valve types, valve positioners, cavitation & flashing
Manipal Institute of Technology
 
Lecture 23 control valves
Lecture 23   control valvesLecture 23   control valves
Lecture 23 control valves
Manipal Institute of Technology
 
Lecture 22 flapper nozzle & ip converter
Lecture 22   flapper nozzle & ip converterLecture 22   flapper nozzle & ip converter
Lecture 22 flapper nozzle & ip converter
Manipal Institute of Technology
 
Lecture 20, 21 p & i diagram
Lecture 20, 21   p & i diagramLecture 20, 21   p & i diagram
Lecture 20, 21 p & i diagram
Manipal Institute of Technology
 
Lecture 19 mathematical modeling of pneumatic and hydraulic systems
Lecture 19   mathematical modeling of pneumatic and hydraulic systemsLecture 19   mathematical modeling of pneumatic and hydraulic systems
Lecture 19 mathematical modeling of pneumatic and hydraulic systems
Manipal Institute of Technology
 
Lecture 18 directional valves and symbols
Lecture 18   directional valves and symbolsLecture 18   directional valves and symbols
Lecture 18 directional valves and symbols
Manipal Institute of Technology
 
Lecture 17 actuation systems
Lecture 17   actuation systemsLecture 17   actuation systems
Lecture 17 actuation systems
Manipal Institute of Technology
 
Lecture 15 characteristics of stepper motors
Lecture 15   characteristics of stepper motorsLecture 15   characteristics of stepper motors
Lecture 15 characteristics of stepper motors
Manipal Institute of Technology
 
Lecture 14 stepper motor sequencer
Lecture 14   stepper motor sequencerLecture 14   stepper motor sequencer
Lecture 14 stepper motor sequencer
Manipal Institute of Technology
 
Lecture 13 basics of stepper motor
Lecture 13   basics of stepper motorLecture 13   basics of stepper motor
Lecture 13 basics of stepper motor
Manipal Institute of Technology
 
Lecture 10 applications of synchros
Lecture 10   applications of synchrosLecture 10   applications of synchros
Lecture 10 applications of synchros
Manipal Institute of Technology
 
Lecture 9 synchros - transmitters, differentials, governing equations
Lecture 9   synchros - transmitters, differentials, governing equationsLecture 9   synchros - transmitters, differentials, governing equations
Lecture 9 synchros - transmitters, differentials, governing equations
Manipal Institute of Technology
 
Lecture 8 synchros - theory of operation
Lecture 8   synchros - theory of operationLecture 8   synchros - theory of operation
Lecture 8 synchros - theory of operation
Manipal Institute of Technology
 

More from Manipal Institute of Technology (20)

Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...
Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...
Webinar on Demystifying Data Acquistion Systems: Access Data through Matlab, ...
 
Lecture 12 stepper motors - types and working
Lecture 12   stepper motors - types and workingLecture 12   stepper motors - types and working
Lecture 12 stepper motors - types and working
 
Lecture 13 basics of stepper motor
Lecture 13   basics of stepper motorLecture 13   basics of stepper motor
Lecture 13 basics of stepper motor
 
Lecture 11 zeroing synchros
Lecture 11   zeroing synchrosLecture 11   zeroing synchros
Lecture 11 zeroing synchros
 
Lecture 28 pneumatic control devices
Lecture 28   pneumatic control devicesLecture 28   pneumatic control devices
Lecture 28 pneumatic control devices
 
Lecture 27 valve shapes, selection guide
Lecture 27   valve shapes, selection guideLecture 27   valve shapes, selection guide
Lecture 27 valve shapes, selection guide
 
Lecture 26 control valves
Lecture 26   control valvesLecture 26   control valves
Lecture 26 control valves
 
Lecture 23, 24,25 valve types, valve positioners, cavitation & flashing
Lecture 23, 24,25   valve types, valve positioners, cavitation & flashingLecture 23, 24,25   valve types, valve positioners, cavitation & flashing
Lecture 23, 24,25 valve types, valve positioners, cavitation & flashing
 
Lecture 23 control valves
Lecture 23   control valvesLecture 23   control valves
Lecture 23 control valves
 
Lecture 22 flapper nozzle & ip converter
Lecture 22   flapper nozzle & ip converterLecture 22   flapper nozzle & ip converter
Lecture 22 flapper nozzle & ip converter
 
Lecture 20, 21 p & i diagram
Lecture 20, 21   p & i diagramLecture 20, 21   p & i diagram
Lecture 20, 21 p & i diagram
 
Lecture 19 mathematical modeling of pneumatic and hydraulic systems
Lecture 19   mathematical modeling of pneumatic and hydraulic systemsLecture 19   mathematical modeling of pneumatic and hydraulic systems
Lecture 19 mathematical modeling of pneumatic and hydraulic systems
 
Lecture 18 directional valves and symbols
Lecture 18   directional valves and symbolsLecture 18   directional valves and symbols
Lecture 18 directional valves and symbols
 
Lecture 17 actuation systems
Lecture 17   actuation systemsLecture 17   actuation systems
Lecture 17 actuation systems
 
Lecture 15 characteristics of stepper motors
Lecture 15   characteristics of stepper motorsLecture 15   characteristics of stepper motors
Lecture 15 characteristics of stepper motors
 
Lecture 14 stepper motor sequencer
Lecture 14   stepper motor sequencerLecture 14   stepper motor sequencer
Lecture 14 stepper motor sequencer
 
Lecture 13 basics of stepper motor
Lecture 13   basics of stepper motorLecture 13   basics of stepper motor
Lecture 13 basics of stepper motor
 
Lecture 10 applications of synchros
Lecture 10   applications of synchrosLecture 10   applications of synchros
Lecture 10 applications of synchros
 
Lecture 9 synchros - transmitters, differentials, governing equations
Lecture 9   synchros - transmitters, differentials, governing equationsLecture 9   synchros - transmitters, differentials, governing equations
Lecture 9 synchros - transmitters, differentials, governing equations
 
Lecture 8 synchros - theory of operation
Lecture 8   synchros - theory of operationLecture 8   synchros - theory of operation
Lecture 8 synchros - theory of operation
 

Recently uploaded

FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 

Recently uploaded (20)

FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 

Lecture 05 cmos logic gates

  • 1. Dr. S.Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal ICE 4010: MICRO ELECTRO MECHANICAL SYSTEMS (MEMS) Lecture #05 CMOS Logic Gates Dr. S. Meenatchi Sundaram Email: meenasundar@gmail.com 1
  • 2. CMOS NAND Gate 2Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal A B Y 0 0 0 1 1 0 1 1 A B Y
  • 3. CMOS NAND Gate 3Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal A B Y 0 0 1 0 1 1 0 1 1 A=0 B=0 Y=1 OFF ON ON OFF
  • 4. CMOS NAND Gate 4Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal A B Y 0 0 1 0 1 1 1 0 1 1 A=0 B=1 Y=1 OFF OFF ON ON
  • 5. CMOS NAND Gate 5Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal A B Y 0 0 1 0 1 1 1 0 1 1 1 A=1 B=0 Y=1 ON ON OFF OFF
  • 6. CMOS NAND Gate 6Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal A B Y 0 0 1 0 1 1 1 0 1 1 1 0
  • 7. CMOS NAND Gate 7Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
  • 8. Series and Parallel 8 • nMOS: 1 = ON • pMOS: 0 = ON • Series: both must be ON • Parallel: either can be ON Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal (a) a b a b g1 g2 0 0 a b 0 1 a b 1 0 a b 1 1 OFF OFF OFF ON (b) a b a b g1 g2 0 0 a b 0 1 a b 1 0 a b 1 1 ON OFF OFF OFF (c) a b a b g1 g2 0 0 OFF ON ON ON (d) ON ON ON OFF a b 0 a b 1 a b 11 0 1 a b 0 0 a b 0 a b 1 a b 11 0 1 a b g1 g2
  • 9. Compound Gates 9 • Compound gates can do any inverting function • Ex: Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal (AND-AND-OR-INVERT, AOI22)Y A B C D= +i i A B C D A B C D A B C D A B C D B D Y A C A C A B C D B D Y (a) (c) (e) (b) (d) (f)
  • 10. Compound Gates 10 • O3AI • Ex: Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal ( )Y A B C D= + + i A B Y C D DC B A
  • 11. Compound Gates 11Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
  • 12. Compound Gates 12Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal
  • 13. Compound Gates 13Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal a b ā ࢈ഥ T1 T2 T3 T4 T5 T6 T7 T8 Y 0 0 1 1 OFF ON ON ON OFF ON OFF OFF OFF 0 1 1 0 ON ON ON OFF OFF OFF OFF ON ON 1 0 0 1 1 1 0 0 T1 T2 T3 T4 T5 T6 T7 T8
  • 14. Compound Gates 14 • A EXOR B Dr. S. Meenatchi Sundaram, Department of Instrumentation & Control Engineering, MIT, Manipal