The document discusses sensors and transducers. It defines a transducer as a device that converts one form of energy to another. Sensors are transducers that detect or measure a signal, while actuators generate a signal. Electronic sensors typically have a primary transducer that converts a parameter to an electrical signal and a secondary transducer that converts this to analog or digital values. Common primary transducers discussed include light, pressure, displacement, temperature, and MEMS sensors. Secondary transducers and common sensor readout circuits like Wheatstone bridges and operational amplifiers are also described.
The transformation of vitality starting with one frame then onto the next is known as Transduction. A transducer fills
for this need.
A transducer is a device which converts signals from one form to another. This can include loudspeakers and linear
positioned are well as physical quantity to electrical signal devices. The latter are most frequently referred to as sensors.
They allow computers and other electronic devices measure, operate and control things.
We can state that Every transducer is likewise (or has) a sensor yet every sensor requires not be a transducer.
The transformation of vitality starting with one frame then onto the next is known as Transduction. A transducer fills
for this need.
A transducer is a device which converts signals from one form to another. This can include loudspeakers and linear
positioned are well as physical quantity to electrical signal devices. The latter are most frequently referred to as sensors.
They allow computers and other electronic devices measure, operate and control things.
We can state that Every transducer is likewise (or has) a sensor yet every sensor requires not be a transducer.
NOVEL METHODOLOGY OF THE ULTRA SONIC BEAM IN LINEAR ARRAY TRANSDUCER FOR HIGH...Journal For Research
In this paper, the focusing of ultrasound beam is considered. Electronic circuitry is considered as support to the theme of the work. The results presented in this paper are notable for improved resolution. The extension of the application diversity is also proposed based on use of Piezo electric transceducers.
It is very useful for Electrical &Electronics and Electronics and Communication Engineering Students. Here explained the all types of Electrical and Electronics instruments with relevant diagram and Equations
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A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
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reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
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using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
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CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
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6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
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1. Sensors p.1ECE 480, Prof. A. Mason
SENSORS
a.k.a.
Interfacing to the Real World:
Review of Electrical Sensors and Actuators
Andrew Mason
Associtate Professor, ECE
Teach: Microelectronics (analog & digital integrated Circ., VLSI)
Biomedical Engineering (instrumentation)
Research: Integrated Microsystems (on-chip sensors & circuits)
2. Sensors p.2ECE 480, Prof. A. Mason
Transducers
• Transducer
– a device that converts a primary form of energy into a
corresponding signal with a different energy form
• Primary Energy Forms: mechanical, thermal, electromagnetic,
optical, chemical, etc.
– take form of a sensor or an actuator
• Sensor (e.g., thermometer)
– a device that detects/measures a signal or stimulus
– acquires information from the “real world”
• Actuator (e.g., heater)
– a device that generates a signal or stimulus
real
world
sensor
actuator
intelligent
feedback
system
3. Sensors p.3ECE 480, Prof. A. Mason
usable
values
Sensor Systems
Typically interested in electronic sensor
– convert desired parameter into electrically measurable signal
• General Electronic Sensor
– primary transducer: changes “real world” parameter into
electrical signal
– secondary transducer: converts electrical signal into analog or
digital values
• Typical Electronic Sensor System
real
world
analo
g
signal
primary
transducer
secondary
transducer
sensor
sensor
input
signal
(measurand)
microcontroller
signal processing
communication
sensor data
analog/digital
network
display
4. Sensors p.4ECE 480, Prof. A. Mason
Example Electronic Sensor Systems
• Components vary with application
– digital sensor within an instrument
• microcontroller
– signal timing
– data storage
– analog sensor analyzed by a PC
– multiple sensors displayed over internet
µC
signal timing
memory
keypadsensor
sensor display
handheld instrument
PC
comm. card
sensor interface
A/D, communication
signal processing
sensor
e.g., RS232
PC
comm. card
internet
sensor
processor
comm.
sensor
processor
comm.
sensor bus sensor bus
5. Sensors p.5ECE 480, Prof. A. Mason
Primary Transducers
• Conventional Transducers
large, but generally reliable, based on older technology
– thermocouple: temperature difference
– compass (magnetic): direction
• Microelectronic Sensors
millimeter sized, highly sensitive, less robust
– photodiode/phototransistor: photon energy (light)
• infrared detectors, proximity/intrusion alarms
– piezoresisitve pressure sensor: air/fluid pressure
– microaccelerometers: vibration, ∆-velocity (car crash)
– chemical senors: O2, CO2, Cl, Nitrates (explosives)
– DNA arrays: match DNA sequences
7. Sensors p.7ECE 480, Prof. A. Mason
Displacement Measurements
• Measurements of size, shape, and position utilize
displacement sensors
• Examples
– diameter of part under stress (direct)
– movement of a microphone diaphragm to quantify liquid
movement through the heart (indirect)
• Primary Transducer Types
– Resistive Sensors (Potentiometers & Strain Gages)
– Inductive Sensors
– Capacitive Sensors
– Piezoelectric Sensors
• Secondary Transducers
– Wheatstone Bridge
– Amplifiers
8. Sensors p.8ECE 480, Prof. A. Mason
Strain Gage: Gage Factor
• Remember: for a strained thin wire
– ∆R/R = ∆L/L – ∆A/A + ∆ρ/ρ
• A = π (D/2)2
, for circular wire
• Poisson’s ratio, µ: relates change in diameter D to
change in length L
– ∆D/D = - µ ∆L/L
• Thus
– ∆R/R = (1+2µ) ∆L/L + ∆ρ/ρ
• Gage Factor, G, used to compare strain-gate materials
– G = ∆R/R = (1+2µ) + ∆ρ/ρ
∆L/L ∆L/L
LD
dimensional effect piezoresistive effect
9. Sensors p.9ECE 480, Prof. A. Mason
Temperature Sensor Options
• Resistance Temperature Detectors (RTDs)
– Platinum, Nickel, Copper metals are typically used
– positive temperature coefficients
• Thermistors (“thermally sensitive resistor”)
– formed from semiconductor materials, not metals
• often composite of a ceramic and a metallic oxide (Mn, Co, Cu or Fe)
– typically have negative temperature coefficients
• Thermocouples
– based on the Seebeck effect: dissimilar metals at diff. temps. signal
10. Sensors p.10ECE 480, Prof. A. Mason
Fiber-optic Temperature Sensor
• Sensor operation
– small prism-shaped sample of single-crystal undoped GaAs
attached to ends of two optical fibers
– light energy absorbed by the GaAs crystal depends on
temperature
– percentage of received vs. transmitted energy is a function of
temperature
• Can be made small enough for biological implantation
GaAs semiconductor temperature probe
11. Sensors p.11ECE 480, Prof. A. Mason
Example MEMS Transducers
• MEMS = micro-electro-mechanical system
– miniature transducers created using IC fabrication processes
• Microaccelerometer
– cantilever beam
– suspended mass
• Rotation
– gyroscope
• Pressure
Electrodes
Ring
structure
Diaphragm (Upper electrode)
Lower electrode 5-10mm
12. Sensors p.12ECE 480, Prof. A. Mason
Passive Sensor Readout Circuit
• Photodiode Circuits
• Thermistor Half-Bridge
– voltage divider
– one element varies
• Wheatstone Bridge
– R3 = resistive sensor
– R4 is matched to nominal value of R3
– If R1 = R2, Vout-nominal = 0
– Vout varies as R3 changes
VCC
R1+R4
13. Sensors p.13ECE 480, Prof. A. Mason
Operational Amplifiers
• Properties
– open-loop gain: ideally infinite: practical values 20k-200k
•high open-loop gain virtual short between + and - inputs
– input impedance: ideally infinite: CMOS opamps are close to ideal
– output impedance: ideally zero: practical values 20-100Ω
– zero output offset: ideally zero: practical value <1mV
– gain-bandwidth product (GB): practical values ~MHz
•frequency where open-loop gain drops to 1 V/V
• Commercial opamps provide many different properties
– low noise
– low input current
– low power
– high bandwidth
– low/high supply voltage
– special purpose: comparator, instrumentation amplifier
14. Sensors p.14ECE 480, Prof. A. Mason
Basic Opamp Configuration
• Voltage Comparator
– digitize input
• Voltage Follower
– buffer
• Non-Inverting Amp • Inverting Amp
15. Sensors p.15ECE 480, Prof. A. Mason
More Opamp Configurations
• Summing Amp
• Differential Amp
• Integrating Amp
• Differentiating Amp
16. Sensors p.16ECE 480, Prof. A. Mason
Converting Configuration
• Current-to-Voltage
• Voltage-to-Current
17. Sensors p.17ECE 480, Prof. A. Mason
Instrumentation Amplifier
• Robust differential
gain amplifier
• Input stage
– high input impedance
• buffers gain stage
– no common mode gain
– can have differential gain
• Gain stage
– differential gain, low input impedance
• Overall amplifier
– amplifies only the differential component
• high common mode rejection ratio
– high input impedance suitable for biopotential electrodes with high
output impedance
input stage
gain stage
+
=
3
4
1
12
d
2
R
R
R
RR
G
total differential gain
18. Sensors p.18ECE 480, Prof. A. Mason
Instrumentation Amplifier w/ BP Filter
instrumentation amplifier
With 776 op amps, the circuit was found to have a CMRR of 86 dB at 100 Hz and a noise level of 40 mV peak to
peak at the output. The frequency response was 0.04 to 150 Hz for ±3 dB and was flat over 4 to 40 Hz. The total
gain is 25 (instrument amp) x 32 (non-inverting amp) = 800.
HPF non-inverting amp
19. Sensors p.19ECE 480, Prof. A. Mason
Connecting Sensors to Microcontrollers
• Analog
– many microcontrollers have a built-in A/D
• 8-bit to 12-bit common
• many have multi-channel A/D inputs
• Digital
– serial I/O
• use serial I/O port, store in memory to analyze
• synchronous (with clock)
– must match byte format, stop/start bits, parity check, etc.
• asynchronous (no clock): more common for comm. than data
– must match baud rate and bit width, transmission protocol, etc.
– frequency encoded
• use timing port, measure pulse width or pulse frequency
µC
signal timing
memory
keypadsensor
sensor display
instrument
20. Sensors p.20ECE 480, Prof. A. Mason
Connecting Smart Sensors to PC/Network
• “Smart sensor” = sensor with built-in signal processing & communication
– e.g., combining a “dumb sensor” and a microcontroller
• Data Acquisition Cards (DAQ)
– PC card with analog and digital I/O
– interface through LabVIEW or user-generated code
• Communication Links Common for Sensors
– asynchronous serial comm.
• universal asynchronous receive and transmit (UART)
– 1 receive line + 1 transmit line. nodes must match baud rate & protocol
• RS232 Serial Port on PCs uses UART format (but at +/- 12V)
– can buy a chip to convert from UART to RS232
– synchronous serial comm.
• serial peripheral interface (SPI)
– 1 clock + 1 bidirectional data + 1 chip select/enable
– I2
C = Inter Integrated Circuit bus
• designed by Philips for comm. inside TVs, used in several commercial sensor systems
– IEEE P1451: Sensor Comm. Standard
• several different sensor comm. protocols for different applications
21. Sensors p.21ECE 480, Prof. A. Mason
Sensor Calibration
• Sensors can exhibit non-ideal effects
– offset: nominal output ≠ nominal parameter value
– nonlinearity: output not linear with parameter changes
– cross parameter sensitivity: secondary output variation with, e.g.,
temperature
• Calibration = adjusting output to match parameter
– analog signal conditioning
– look-up table
– digital calibration
• T = a + bV +cV2
,
– T= temperature; V=sensor voltage;
– a,b,c = calibration coefficients
• Compensation
– remove secondary sensitivities
– must have sensitivities characterized
– can remove with polynomial evaluation
• P = a + bV + cT + dVT + e V2
, where P=pressure, T=temperature
T1
T2
T3
offset
linear
non-linear