ARC Temperature Sensing Calibration Platform
In this contest, we aim to develop a machine learning method to calibrate the thermal sensor and to avoid the interference from the environment for higher accuracy level in temperature measurement.The computation complexity of our proposed method would be suitable for porting on to the ARC Embedded Starter Kit platform.
- Hardware and Software Setup
- User Manual
In most acedemic research, most of those fabricated chips are verfied through testing machine to check the input and output pattern's functionality. However for sensor design, we need a platform to check the functionality.
Due to the process variation , sometimes our chip may not work as well as we do in our post-layout-simulation. So during system integration, we still need some software method (using some Machine Learning Algorithm) to calibrate the chip's functionality.
Therefore we adopt ARC Embedded Stater Kit as our platform to build up our system prototype.
- Main Task Of Our Platform
- Data Extraction
- Chip Sensor Functionality Calibration
Phase1: Data Extraction
Using ARC EMSK to build up the temperature monitor system to collect all the chip's response data in the testing chamber. All the data collected from EMSK would transmitted through UART inteface back to PC for analysis.
Phase2: Data Analysis & Algorithm Selection
Phase3: Porting ML model to ARC EMSK Platform
Currently we only developed the Terminal Display Version Porting the Inference Part of our Machine Learning Model to the ARC EMSK platform and start to check our functionality of our ML model to boost up the accuracy.
Customized Temperature Sensor Chip
|Temperature Range: 0 ~ 100|
|Area 0.7 mm^2|
Other Part for Sensor Read Out Circuit
|7404 Logic IC||6||Buffer from EMSK(3.3V) to CHIP IO(1.8V)|
|NTC Themistor $2 M\Omega$||2||External Thermal Sensor|
|Capacitor 0.5uF||5||CHIP Voltage and IO PAD Voltage Stabilization|
|Dupont Line||16||ARC Connection|
|34Pin 2 Connector IDE Cable||2||For Long Connection to Breadboard in Chamber|
|Intel Core i5-4570S CPU @ 2.90GHz (4Core)|
|Windows 7 64-bit Operating System|
- EMSK Environment
- Python 3.5
- MachineLearning related Package
- Jupyter (optional)
- Modify mux.c (/board/emsk/drivers/mux/mux.c)
line 201: change set_pmod_mux(PM1_UR_UART_0 | PM1_LR_SPI_S \ | PM2_I2C_HRI \ | PM3_GPIO_AC \ | PM4_I2C_GPIO_D \ | PM5_UR_SPI_M1 | PM5_LR_GPIO_A \ | PM6_UR_SPI_M0 | PM6_LR_GPIO_A ); to set_pmod_mux(PM1_UR_GPIO_C | PM1_LR_GPIO_A\ | PM2_GPIO_AC \ | PM3_GPIO_AC \ | PM4_GPIO_AC \ | PM5_UR_GPIO_C | PM5_LR_GPIO_A \ | PM6_UR_GPIO_C | PM6_LR_GPIO_A );
to change the default pmod setting from UART I2C SPI All to GPIO
BOARD ?= emsk BD_VER ?= 22 CUR_CORE ?= ercem11d JTAG ?= usb EMBARC_ROOT = setting your root path of your embARC-osp without " "