Advanced Embedded Systems
The module content will be based on three main areas of embedded systems. The first section will consider the use and application of modern smart sensing devices to cover a range of measurements. These will then be used in distributed systems to put together complete instrumentation systems. The final stage will be the integration of instrumentation systems into the control of industrial plant.
Automation and Robotics
The work covers the various aspects of automation and application of robots in industry in particular in the area of automatic assembly.
Dedicated and Flexible automation systems; criteria for selection of automation systems;
Robotics : Mechanical elements ; co-ordinate systems; drive mechanisms.
Robot programming and control; software function; interfaces to controller; position /motion/ hybrid control.
Programming robots: On -line using proprietary robot programming languages e.g. VAL3 directly and using the teach pendant emulator; Off - line programming languages e.g. GRASP.
Applications: choice of robot; robot tooling; ancillary equipment; performance specifications.
Use of sensors in automation; sensor types contact, proximity, force, vision systems.
Dedicated automation systems: materials handling; analysis and control functions.
Assembly: Part feed systems; orienting devices e.g. vibratory bowl feeder; tooling; Materials handling devices e.g. indexing devices; conveyors.
Placement devices: Pick and place;
Workheads: Fixing methods
General: Line balance of assembly systems; Reliability in automation; Cost justification of automation; Job analysis; Implementation of automated systems
Introduction to Human-Robot Interaction
With the growing presence of automation, machine learning, and personal assistants, the engagements with intelligent machines are ubiquitous (i.e., Yuksel, Collisson, Czerwinski, 2017, Brooks, 2019).
The module is focused on introducing Human-Robot Interaction as a relevant and important field of study within current computing and User Experience trends. It aims to create an understanding of the relationships between humans and robots, to facilitate smooth integration and better experience during interaction in both, private and public contexts. This multidisciplinary research area draws from Human-Computer Interaction, Cognitive Psychology, understanding of Robotics and Artificial Intelligence.
IoT and Autonomous Systems
Internet of Things (IoT) is an emerging network of physical objects that connects various sensors, software, and other technologies to the Internet. The aim of this module is to learn about design and development of IoT systems, including embedded architecture of IoT, technologies and autonomous systems. On this module you will learn concepts, practical aspects and applications of sensors, wireless technologies, robotic systems, data collection (and related processing technologies) for remote control of objects.
The following topics will be covered: Introduction to Internet of Things, basic concepts and the state of the art technology used in IoT systems. Transducers and sensors Drones and Autonomous Underwater Vehicles (AUV) Autonomous systems sub-components : Sensors, motion control and intelligent decision making (i.e. an introduction to Artificial Intelligence and Machine Learning Techniques).
The student will learn about important elements of project management, such as planning, control, cost, problem solving skills, report writing and defend the outcome during a viva session. The project is normally completed during 13 weeks of full time research or part time equivalent, 26 weeks.
The mechatronic approach will be stimulated and rewarded by applying it to the design of a practical product or process that would offer some enhanced performance compared with other alternatives.
Mechatronic design process:
Definitions of Mechatronics, advantages of microprocessor system control, Mechatronic design process: product and process design applications, advantages of Mechatronic design approach. Evaluate current technology developments that have improved mechatronic design of products or processes.
Design a product or process using a Mechatronic design methodology: Conceptual design: user requirement specification, embodiment design, standards, safety regulations: selection of measurement system, controller hardware and software, actuator system, signal conditioning, human-machine interface; design of application program; integration of components.
Evaluate a Mechatronic design application: Reliability, accuracy, speed of response, productivity, robustness, ease of maintenance, minimisation of capital and running costs, ease of manufacture, product quality. Evaluation of design procedure.
Modelling and Computation for Smart Places
• Mathematical modelling, the scientific method and programming
• Applied linear algebra
• Differential equations
• Engineering Applications of Numerical Methods
The aim of the module is to develop a deep understanding of advanced areas related to security and digital forensics that will allow graduates to act professionally in the design, analysis, implementation, and reporting of network security strategies. An outline of the main areas includes:
• Introduction. Networking Concepts; Network Security Concepts; Network Threats and Attacks; Network Defense - Perimeter, Defence in Depth
• Firewalls. Concepts; Types - Host, Network; Technologies - Static packet filtering; Stateful packet filtering; Multilayer firewall; Architectures; Polices; and Implementation and Deployment.
• Intrusion Detection and Prevention Systems (IDPS). Concepts; Types; Alert Monitoring and Sensor Tuning; behavioural analysis, in-line/out-of-line.
• Access Control and Authentication. Concepts: Trust and Identity; Attacks; Models - Access Control Models; Network Device Access Control; AAA, Layer 2; Device Hardening.
• Remote Access and VPNs. Concepts; Cryptography; Types - L2, L3 and L4/5; Technologies; IPSec and SSL.
• Wireless Security. Wireless Overview; Attacks; Encryption; Authentication.
• CCNA Certification - Concepts. CIA; Attacks on CIA; Data Classification; Law and Ethics; Network policies; Risk Management and Secure Network Design; Security in the SDLC; Cisco self-defending network; Secure Administration.
• CCNA Certification - Secure Infrastructure and Extending Security. Cisco Layer 2 Security; Cisco IOS Firewalls. Cisco IOS IPS; Cisco VPN and Cryptographic Solutions; Digital Signatures and PKI.
Research Skills and Project Management
- Managing a research project: selecting, planning and execution
- Team work.
- Information searching, information sources.
- Data: organising, processing and presenting.
- Reports: evaluation and review, structuring and writing.
- An overview of project management.
- Quality management.
- Time management and cost control.
- Performance monitoring and difference resolution.
- Project implementation, completion and evaluation.
Research Through Design
In this module you will be introduced to research through design approaches that can offer rich insights that impact the process of innovation and design. You will be encouraged to empathise and understand user needs requirements in relation to day to day activities/tasks/experiences. You will be responsible for your learning through discovery and delivery of a project based on evidence and rigour to research and a target user group understanding. Research through design approaches encourage exploring uncertainty and developing curiosity to trust your expertise and professional competence.
Wireless Sensors and Mobile Communications
A. Fundamentals of wireless systems: Major components, Block diagrams.
B. Antennas (component 1): Fundamental antenna parameters, Antenna performance and design metrics, Antennas as part or wireless systems, Transmitting and receiving antennas in point-to-point communications and Friis transmission formula.
C. Propagation channels (component 2): Propagation mechanisms, Path loss modelling (including Friis transmission formula), Shadowing-statistical modelling, Multipath propagation-stochastic modelling.
D. Digital modulation and signalling (component 4): Baseband and passband signals, Nyquist theorems for signal interference and reconstruction, Digital modulation techniques, Demodulation and detection performance.
* These are indicative only and reflect the course structure in the current academic year. Some changes may occur between now and the time that you study.