IEEE South Australia Section

On the 29th, (https://www.flinders.edu.au/people/andrew.lammas) from (https://www.flinders.edu.au/) will be giving a presentation - Effective Digital Twins Through Utilising Hybrid Architectures. Abstract Digital Twins are an exceptional way to monitor the performance of assets. As such they are increasingly used for condition-based maintenance and performance-based management. In military fleet sustainment, this technology ensures platform safety, enhances asset condition monitoring, reduces maintenance costs, and improves platform availability through better real-time maintenance planning. Implementing Digital Twins incurs costs, including software development and sensor integration. While software expenses are amortised across multiple units, sensor costs are more fixed. This paper presents a digital twin system development addressing conflicting objectives by balancing system accuracy and effectiveness with sensor hardware costs. We hybridised bespoke physics-based mathematical modelling with adaptable machine learning for a precise, but flexible, solution. This effective design approach involves breaking down assets into elements, estimating the performance of each individually, then using the estimates as inputs to a neural network. To illustrate, we constructed a digital twin for a gas shock absorber within a vehicle's suspension system. We used available sensor data, recursive model-based estimation, and neural network inference to infer gas pressure within the damper. Development involved measurements of position, acceleration, force, and temperature of a shock absorber on a dynamometer at various frequencies and gas pressures. Data augmentation involved modelling and estimation to generate velocity, force, and heat generation parameters from sensor readings. Through the combination of cheaper sensors and software-based estimation important yet difficult/expensive to measure parameters could be accurately estimated by the digital twin. The most expensive sensor, the load cell, could be removed and still retain an RMSE of 1.4 Bar. The hybrid digital twin produced an estimate with less than 12% error at under 7% of the cost of a fully instrumented system. This case study demonstrates that the hybrid approach presents a promising pathway for developing robust and cost-effective Digital Twins for complex systems. The session will be followed by networking and refreshments. Agenda: Please enter via the Level 1 south entrance of the Engineering South building in the University of Adelaide North Terrace campus. https://maps.app.goo.gl/5cM2uF1WsAE1Kwzx7 Time: 5:30pm for a 6pm start. Room: S112, Bldg: Engineering South , University of Adelaide, North Terrace, Adelaide, South Australia, Australia, 5005, Virtual: https://events.vtools.ieee.org/m/430603

This Terahertz (THz) imaging technology is growing rapidly due to its potential applications in material exploration, non-destructive evaluation, industrial inspection, and bioinformatics. However, the practical feasibility of THz imaging systems is significantly constrained by the low efficiency of active THz devices, long imaging acquisition time, insufficient use of THz signal datasets, and their bulky nature. In this talk, I will present our recent research on high-precision THz imaging systems, starting from material development, THz optoelectronics designs, and system integration toward image reconstruction modalities for on-site applications. As the image data quality and data acquisition speed highly rely on the brightness of THz sources, we have developed high-performance THz plasmonic photoconductive sources generating mW-level radiating power over a several-THz spectral range, which offers excellent time-resolved raw data for further image restoration and reconstruction. I will further introduce some of our image reconstruction approaches – equalized compressed sensing imaging, multi-scale deep-learning fusion imaging, and compressive hybrid neural network – that further speed up the data acquisition process and achieve significantly better reconstructed imaging quality compared with conventional THz CT modalities. This paves the way toward real-time, hyperspectral THz 3D imagers in the near future, which opens the door for various exciting applications in non-destructive sensing, imaging, and material inspection Speaker(s): Shang-Hua Yang, Room: N218, Bldg: Engineering North, The Univeristy of Adelaide, Adelaide, South Australia, Australia

Dear Colleagues, I am pleased to announce that the first IEEE South Australia Young Professionals (YP) event will be held at The University of Adelaide. This event will provide a unique opportunity for young professionals and students to network, exchange ideas, and engage with leading experts in the field. We have an exciting program planned, and we look forward to your participation. Event Details: - Date: 13 Sep - Time: 5:30pm - 8:00pm - Venue: The University of Adelaide, EMG06 - Catering: Complimentary food and refreshments will be provided during the event. Organizing Group Members: Zhi Cao, Chair of IEEE SA YP Qiang (Dan) Gao, Vice-chair of IEEE SA YP Linxi Chen, Treasure, Secretary of IEEE SA YP Emad Roshandel, Membership Development of IEEE SA YP Steven Wang, Flinders University Membership Development of IEEE SA YP Yuan Yao, Technique Activity Lead of IEEE SA YP Kind Regards, Zhi Chair of IEEE SA YP [email protected] Speaker(s): Youhong Tang, Wenqi Shen Bldg: Engineering & Math EMG06 (EM building), The University of Adelaide , Adelaide, South Australia, Australia, 5005

Dear IEEE members and guests, The next IEEE Control, Aerospace and Electronic Systems (CAES) seminar will be on Monday, 23rd September, 2024 at 5:30 pm (Adelaide time). The speakers are Nicole Perry and David Brown from the Southwest Research Institute, USA, They will be presenting two seminars on recent work in Electronic Warfare. This will be a hybrid meeting and we would love to see people in person at the: University of Adelaide, Engineering North N158 Chapman Lecture Theatre If you are joining on zoom, please aim to join the meeting beforehand, so we can start on time. https://adelaide.zoom.us/j/82909761162?pwd=Ac8e3qAqSXDq7POmfoTX3aKObSYS0c.1 Password: 125634 Also, please check out the IEEE SA Section website: (https://enotice.mmsend.com/link.cfm?r=wh8D9f-42CWIJh06mx-qQA~~&pe=-HDfrq8Vbb4_-Jj4uF_B8E3h10YvsgsXyh_J2YfEkioDgP39UQoH6t8IZks-gnWjrgKGf7EEeovxfcJGJP_QAA~~&t=hb3RX0xYwAFA7SXzAEcPYQ~~) Regards Luke Rosenberg IEEE SA CAES Chapter Nicole Perry Title: SPARTA - Advanced Test System for Electronic Warfare Biography Ms. Nicole Perry is a Senior Research Engineer with the Advanced Electronic Warfare group at Southwest Research Institute (SwRI). With SwRI, she performs development of requirements, design, build, and testing of engineering hardware, software, and firmware for legacy Electronic Warfare weapon systems and advanced technology EW platforms. She has been heavily involved with testing Electronic Attack techniques using SwRI’s SPARTA software and with a SwRI-led project using open architecture technology in a scalable, platform agnostic EW system. Ms. Perry has coauthored a paper for the IEEE AUTOTESTCON 2023 titled An Effective Approach to Evaluating Electronic Warfare Systems (A. Davis and N. Perry, "An Effective Approach to Evaluating Electronic Warfare Systems," 2023 IEEE AUTOTESTCON, National Harbor, MD, USA, 2023, pp. 1-4, doi: 10.1109/AUTOTESTCON47464.2023.10296200.) to discuss methods of advanced waveform analysis to characterize parameters of EW systems. Abstract Electromagnetic warfare (EW) systems require thorough and accurate test and evaluation (T&E) leading to complex, expensive, and timely test phases. As complexity of both the EW operation environment and EW capabilities grow, the need for improved test resources and better evaluation has increased. Electronic Attack (EA), one aspect of EW, requires evaluation at a high resolution and fidelity that is increasingly difficult with the use of conventional commercial off the shelf (COTS) test equipment. SPARTA, or System Performance and Real-time Analysis, is an advanced tool that provides post-processing analysis during testing of Electronic Attack (EA) techniques. It describes the behavior of the EW system under test (SUT) in both time-domain and frequency-domain. Recorded signal of interest (SOI) related to radar emitters and EW SUT can be analyzed at a high-level or as very detailed pulses and samples. Graphical video illustrating activity of SOI and EW SUT can be synchronized to range and velocity graphs, providing more in-depth visual data. For testing requiring a congested, noisy environment, this software can separate SOI and false target responses and analyze pulse-to-pulse and intrapulse characteristics. Designed to meet complex testing needs of EW, SPARTA can reduce lifecycle costs and improve testing accuracy during acquisition and sustainment phases. David Brown Title: Cognitive Detection and Tracking of Modern Radar Systems Biography David Brown leads cognitive EW research and development for the Advanced Electronic Warfare group at Southwest Research Institute. His research interests are centered on applied cognitive EW, including methodologies to push AI/ML algorithms to the sensor edge. Prior to SwRI, he held a variety of EW related R&D positions and was an adjunct professor at the Georgia Institute of Technology. In addition to engineering, David gained practical experience in EW in flight as a B-1B WSO. David received undergraduate/graduate training in electrical engineering from Georgia Tech as well as Master of Arts and Master of Divinity from Liberty University. David is a Distinguished Graduate of the Joint Electronic Warfare Officer School and is the recipient of the AOC EW Pioneer Award and RF Award. He served as Sensor Open Systems Architecture (SOSA) Low Latency Subcommittee co-chair, focusing on Open EW specific concerns. David is an IEEE Systems Council Distinguished Lecturer and active in the AOC. David is active in neuromorphic research as a Principal Investigator in the Intel Neuromorphic Research Community. Abstract This presentation will explore the limitations of traditional receiver approaches in complex RF environments. Modern approaches incorporating low-level AI/ML techniques to mitigate information entropy will be introduced. To achieve this, a feature rich symbolic representation of the emitter is developed using a mixture of real-time traditional and AI/ML based signal processing. The information rich data is processed by downstream algorithms to reduce complexity in the sample environment. The session will close with an outline of where further research is needed. Room: N158 Chapman Lecture Theatre, Bldg: Engineering North, University of Adelaide, Adelaide, South Australia, Australia, Virtual: https://events.vtools.ieee.org/m/433587