CDR CAREER EPISODE 1
Analysis of IoT Node Performance in the Internet of Things
1. Introduction
[CE 1.1]
- Title: Analysis of IoT Node Performance in the Internet of Things
- Duration: [Date] – [Date]
- Location: Melbourne, Australia
- Organization: Swinburne University of Technology
- Position: Electrical & Electronics Engineering Student
2. Background
[CE 1.2]
Wireless technologies such as LoRa, Wi-Fi, and BLE enable IoT devices to meet application needs that require wireless connectivity. Networking technologies are a crucial task for IoT applications due to the capabilities of wireless technology. The reliability and performance needs of IoT applications mainly vary.
Specifically, the IoT node’s performance and reliability can be impacted by energy sources, the time between transmissions, the communication range, and the payload.
[CE 1.3]
The work aim was analyzing the parameters and obtain the optimum power communication solution. I met the IoT application requirements and enabled IoT sensor nodes to switch between lower-power communication technologies automatically. It was for providing optimum performance and reliability.
[CE 1.4]
The project’s work activities were divided into several stages, and the technical activities were performed within the specified work timeline, with consistent electrical and electronics engineering skills.
[CE 1.5]
Duties:
- I researched the performance of the IoT node, which was linked to experimentation conducted using electrical and electronic engineering concepts.
- I evaluated BLE characteristic usage in indoor and outdoor environments at the transmitter side.
- I utilized two cellular devices, which mainly contained versions from BLE, and they were specifically for checking the numerous performance versions.
- I researched the IoT node associated with the Wi-Fi mode operational value.
- I researched LoRA, which is linked to variable-power transmission in data transmission, mainly using concepts from Electrical & Electronics Engineering.
CDR CAREER EPISODE 2
Highly Secured Traffic Management System
1. Introduction
[CE 2.1]
- Project: Highly Secured Traffic Management System
- Duration: [Date] – [Date]
- Location: India
- Organization: Government Engineering College, Gujarat
- Position: Electrical & Electronics Engineering Student
2. Background
[CE 2.2]
It is adequate for the railway control system to control delays and efficiently manage the system. The railway traffic system requires optimal management and control of train schedules, connections, and related operations.
[CE 2.3]
The project aimed to identify an object-oriented method to meet the requirements of the railway control system. I conducted a simulation study based on the model presentation, and it was flexible, with partial automation for the railway traffic system. It assisted in providing adequate control and management.
I implemented the project, which worked as a three-field combination: signalling & switching wireless communication and electronics for the railway system. Thus, the project was completed during the academic year, with consistent coursework in electrical and electronics engineering.
[CE 2.4]
The work nature was completely dependent on the railway traffic control system management, which was compatible with the public transport system. The project was entirely based on wireless serial communication, and the work activities were carried out through the application of technical skills.
Related Link ⇒ CDR for Electronics Engineer
CDR CAREER EPISODE 3
Wearable Digital Goniometer
1. Introduction
[CE 3.1]
- Title: Wearable Digital Goniometer
- Duration: [Date] – [Date]
- Location: Gujarat, India
- Organization: Government Engineering College, Gujarat, India
- Position: Electrical & Electronics Engineering Student
2. Background
[CE 3.2]
Presently, the goniometer utilized in hospitals and is mainly utilized as an analogue goniometer. The designing of the wearable digital goniometer was done utilizing an accelerometer, and it provided an optimum result in angle, along with the designing in a design that was typically wearable for the person.
The multi-accelerometer for human GAIT phase detection was used, and applications for robotic and clinical research were developed. The detection of the GAIT phases from accelerometer data was executed to distinguish between the swing and stance phases.
[CE 3.3]
The aim of the work was the qualitative design of the wearable digital goniometer, and an inertial sensor was developed. I conducted the human lower limb quantitative dynamics analysis utilizing wearable sensor systems for measuring various angles and detecting the gait pattern during walking.
I incorporated the three-axis accelerometers in the wearable sensor system. I attached the former to the foot surface, shank, and thigh to measure each segment’s angular velocity. I utilized the latter for the measurement of the attached leg segment inclination in every recalibration human motion cycle.
[CE 3.4]
I worked on the system for obtaining results and evaluated the orientations for human lower-limb measurements, along with reaction forces for human dynamics analysis. The obtained results were implemented to utilize wearable sensor systems.
I measured the joint angles with a goniometer. I measured the lower limb angle in the patient’s walking pattern, and it was utilized for paralyze person to know the angle improvement.
[CE 3.5]
Project Responsibilities:
- I utilized the transmitter module, which took serial input and generated signals from RF.
- I analyzed the limb advancement mainly executed with the movement of the leg.
- I transmitted information during GAIT pattern setting, mainly wirelessly.
- I utilized the transmitter, and it executed the working based on serial data received from the encoder. Access free CDR samples available at AustraliaCDRHelp.Com.
