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Video
The seminar commenced with a welcome speech and speaker introduction by Prof. WANG Zuankai, Associate Vice President (Research and Innovation) of PolyU. This was followed by Prof. Leng’s presentation. He first provided a brief background about shape memory polymers (SMP), pointing out that these smart materials can reversibly change between permanent and temporary shapes in response to changes in external stimuli such as temperature. Next, he gave an overview of the researchers from different scientific research institutions and universities around the world who specialise in SMP research, and the types of SMP materials that HIT researchers focus on. He said that SMP are hard to actuate and their recovery strength and speed are low, and so relevant solutions to these challenges are important for the development of SMP composites (SMPC). Prof. Leng then gave examples demonstrating how SMPC can be prepared through actuation methods involving different stimuli such as heat, electricity, magnetism, radio frequency, solution/water, light, etc. He mentioned that SMPC can be used to prepare various structures for aerospace, smart manufacturing, photoelectric applications, microelectromechanical systems applications, and smart clothing. After that, Prof. Leng introduced 4D printing, a novel additive manufacturing process for producing printed objects that can adaptively change their configurations/properties in response to external stimuli. He mentioned that 4D printing is important for producing a range of SMPC-based materials for biomedical applications. To conclude, Prof. Leng said that SMP research is a fast-growing emerging research field. He anticipated that shape memory smart structures incorporated with sensors, actuators, and controllers, would be widely used in aerospace, civil aviation, automotive, energy and daily life.
Event date: 15/07/2024
Speaker: Prof. LENG Jinsong
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Shape memory polymers Polymeric composites Additive manufacturing Smart materials
- Resource Type:
- Video
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Others
In the Federal Aviation Administration(FAA), Human Factors is defined as a“multidisciplinary effort to generate and compile information about human capabilities and limitations and apply that information to equipment, systems,facilities, procedures, jobs, environments, training, staffing, and personnel management for safe,comfortable, and effective human performance” (FAA Order 9550.8A). FAA human factors researchers seek to understand the physical, behavioral, cognitive, and social characteristics of aviation professionals—such as pilots, air traffic controllers,technical operations specialists, and aircraft maintenance technicians—and the systems that they use.
- Course related:
- AAE4903 Human Factors in Aviation
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Aeronautics -- Safety measures United States. Federal Aviation Administration Aeronautics -- Human factors
- Resource Type:
- Others
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MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
- Course related:
- AAE5103 Artificial Intelligence in Aviation Industry
- Subjects:
- Computing
- Keywords:
- Machine learning Artificial intelligence
- Resource Type:
- MOOC
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MOOC
Aviation is essential for global business as it supports worldwide travelling and cargo transportation. Before COVID-19, the economic benefits generated by the industry across countries showed a growing trend. This course is aimed to provide learners with a broad understanding of airport services in different phases in terms of design and engineering. Learners will receive basic knowledge of how an airport operates. Key topics include the future perspective of air traffic control, air traffic flow management, airport management, facility planning, airport terminal design for the post-pandemic world and ground services.
- Subjects:
- Aeronautical and Aviation Engineering and Logistics
- Keywords:
- Airports -- Management Aeronautics Commercial -- Management Airlines -- Management
- Resource Type:
- MOOC
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Video
Machine learning can deliver unprecedented performance. Its application domain has expanded into safety-critical cyber-physical systems such as UAVs and self-driver cars. However, the safety assurance of vehicular control has two conditions: 1) an analytical model of system behaviors such as provable stability, and 2) the software safety certification process (e.g., DO 178C) requires that the software be simple enough so that software safety can be validated by a combination of model checking and near exhaustive testing. Although ML software, as is, does not meet these two safety requirements, the real-time physics model supervised ML architecture holds the promise to 1) meet the two safety requirements and 2) enable ML software to safely improve control performance and safely learn from its experience in real-time. This talk will review the structure of the proposed architecture and some methods to embed physics into ML-enabled CPS control.
Event Date: 12/05/2022
Speaker: Prof. Lui Sha (University of Illinois Urbana-Champaign)
Hosted by: Graduate School
- Subjects:
- Aeronautical and Aviation Engineering and Computing
- Keywords:
- Machine learning Vehicles Remotely piloted Computer software -- Reliability Drone aircraft
- Resource Type:
- Video
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Video
PolyU AAE students guide you through the flight procedures of an A320 Flight Stimulator.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Flight training -- Simulation methods Flight simulators
- Resource Type:
- Video
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Video
An online lecture on the topic of "China Manned Space".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Manned space flight Exploration of outer space
- Resource Type:
- Video
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Video
An online lecture on the topic of "Introduction to Hong Kong Radio Astronomy".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Aeronautical and Aviation Engineering and Industrial and Systems Engineering
- Keywords:
- Radio astronomy
- Resource Type:
- Video
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Video
An online lecture on the topic of "Enabling Technologies for Experiments in Space".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Industrial and Systems Engineering and Aeronautical and Aviation Engineering
- Keywords:
- Lunar exploration Exploration of outer space
- Resource Type:
- Video
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Video
An online lecture on the topic of "Introduction to Space Astronomy".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Space astronomy
- Resource Type:
- Video