Robotic systems in delicate fields like manufacturing, healthcare, and defence have created difficult forensic and security issues. The popular robotics software known as Robot Operating System (ROS) is modular, decentralised, and devoid of built-in security features. Because traditional digital forensic techniques are designed for centralised computing systems, these features make their application more difficult. A new forensic framework designed specifically for ROS-based systems, the Robot Operating System Forensic Framework (ROSFF), is presented here. In contrast to conventional forensic models, ROSFF resolves the odd ROS structure by combining procedures and tools that facilitate decentralised logging, distributed evidence collection, and real-time monitoring. Because it integrates the three areas of investigation: technical, organisational, and legal. The forensic process becomes scalable, methodical, and also morally and legally sound. With the help of anomaly detection and event tracing, ROSFF is constructed using four fundamental steps: data acquisition, analysis, examination, and reporting. When compared to other forensic models, ROSFF is more adaptable, provides comprehensive evidence, and can be used with robotic systems. The results demonstrate that ROSFF is a useful tool for conducting efficient forensic investigations and safeguarding ROS environments. This work lays the groundwork for upcoming digital forensic operations in autonomous systems and fills a major knowledge gap in robotic cybersecurity.

Ghana has a population of over 27 million people, of which 1 in 15 may have a communication disability. The number of speech and language therapists (SLTs) available to support these people remains remarkably small, presenting a major workforce challenge. As an emerging profession, there remain significant challenges around educating the first generation of SLTs. Ghana, however, has a healthy digital infrastructure which can be taken advantage of. We describe a comprehensive study which aimed to co-design a set of locally appropriate digital tools to enhance SLT training in Ghana. We contribute insights into how digital tools could support social learning and the transition from student to independent practitioner and future clinical supervisor. We offer a set of design recommendations for creating an online Community of Practice to enhance continuing professional development.

Since the very successful release of the world's first mass-produced HEV (hybrid electric vehicle) in 1997, the number of HEVs as well as EVs (electric vehicles) has been gradually increasing in major cities around the world. Reliable and efficient power devices transferring energy between the battery and the motor/generator represent the heart of the electric power-train that realizes the electric-mobility concept. The objective of this presentation is to give a quick preview of the early mass-produced power modules for EV/HEVs and to highlight the advancement achieved so far in addressing the automotive severe reliability and high performance requirements. The presentation will also cover some of the power devices trends in terms of the major pillars comprising automotive power modules: (1) power chip technology, (2) packaging technology, and (3) functional integration as shown in Fig. 1.