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Hong Kong Polytechnic University
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Year
2022
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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 "Beidou Navigation Satellite System and Our Daily Lives".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:
- Global Positioning System
- Resource Type:
- Video
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Video
An online lecture on the topic of "Bone and Joint Health on Earth and 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:
- Biomedical Engineering
- Keywords:
- Joints -- Physiology Space flight -- Physiological effect Bones -- Physiology
- Resource Type:
- Video
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Others
A portfolio for ITC3089E showing how to present the theme and fabric
- Course related:
- ITC3089E Woven Fabric Design Project
- Subjects:
- Textiles
- Keywords:
- Weaving Textile fabrics
- Resource Type:
- Others
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Video
During the sixteenth and early seventeenth centuries, the relaxation of the Ming sea ban, along with the arrival of the Europeans, generated a multipolar environment in East Asia. It revolved around the intra-Asian exchange centered upon Chinese silk and Japanese silver, and a nascent global flow of New World bullion to China and spices for Western Europe. The situation changed during the mid-seventeenth century amid mounting restrictions on overseas contacts from the Tokugawa shogunate of Japan and the consolidation and militarization of Chinese merchants under the Zheng family. By 1683, when the Qing forced the Zheng to surrender and occupied their bastion of Taiwan, China had achieved naval preeminence in the East Asian sea lanes. Other than a few outposts, the Europeans had largely withdrawn from the area north of island Southeast Asia, which remained under the hegemony of the Dutch East India Company. In 1684, the Qing court legalized private trade and travel abroad, prompting another wave of overseas migration. Authorities in China and across eastern maritime Asia enacted policies that kept the Qing merchants and immigrants separate from the earlier Ming loyalists. Additionally, both groups of Chinese were accorded significant political, economic, and legal privileges. This infrastructure, backed by Qing naval power, paved the way for the “Chinese century” in maritime Asia.
Even date: 9/11/2022
Speaker: Dr. Xing Hang
Hosted by: Confucius Institute of Hong Kong
- Subjects:
- Area Studies and Chinese Studies
- Keywords:
- Qing Dynasty (China) Chinese diaspora Southeast Asia Chinese
- Resource Type:
- Video
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MOOC
The course describes the theoretical underpinnings of USR. It showcases some effective practices and activities carried out in institutions around the world. The course also promotes understanding of the USR concept, its implications, impacts, evaluation, possible implementation methods, and replicability. In doing so, it contributes to the expansion and consolidation of the USR movement. It provides a knowledge base for designing, planning, implementing, and evaluating programs from the fundamentals of USR and some existing good practices.
No prior knowledge is required to join the course. This course is for you especially if you are an administrator, a professor, or a professional staff member interested in learning new creative ways from the experts' at the universities to address the needs of society including SDGs (Sustainable Development Goals). If you are a government official or a foundation representative seeking ways to strengthen higher education, this course will help you explore future opportunities and directions.
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Video
Geospatial information science is a discipline that focuses on using geospatial information technology to understand people, places, nature and processes of the earth. IoT refers to Internet of things, the combination of sensors, software and other technologies to connect and exchange data with other devices and systems over the Internet. The era of IoT brings us opportunities and challenges for geospatial information science. In the keynote, five characteristics and three scientific issues of geo-spatial information science in the era of IoT are summarised.
Even date: 6/9/2022
Speaker: Prof. Daren Li
Moderator: Prof. Christopher Chao (Hong Kong Polytechnic University)
Panel members: Prof. Qingyan Chen, Prof. Qinhao Chen (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Internet of things Geospatial data Spatial data mining
- Resource Type:
- Video
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Video
Professor Yigong Shi will reflect on the challenges in global higher education, based on his 37 years of learning, scientific research, and teaching experience in academia. He will present Westlake University's educational reforms in university operations, governance, talent recruitment, student development, research and academic evaluation, and interdisciplinary studies, which altogether provide new opportunities for future-oriented higher education.
Even date: 6/12/2022
Speaker: Prof. Yigong Shi
Moderator: Prof. Qingyan Chen (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Educational change China Education Higher
- Resource Type:
- Video
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Video
Convex Matrix Optimization (MOP) arises in a wide variety of applications. The last three decades have seen dramatic advances in the theory and practice of matrix optimization because of its extremely powerful modeling capability. In particular, semidefinite programming (SP) and its generalizations have been widely used to model problems in applications such as combinatorial and polynomial optimization, covariance matrix estimation, matrix completion and sensor network localization. The first part of the talk will describe the primal-dual interior-point methods (IPMs) implemented in SDPT3 for solving medium scale SP, followed by inexact IPMs (with linear systems solved by iterative solvers) for large scale SDP and discussions on their inherent limitations. The second part will present algorithmic advances for solving large scale SDP based on the proximal-point or augmented Lagrangian framework In particular, we describe the design and implementation of an augmented Lagrangian based method (called SDPNAL+) for solving SDP problems with large number of linear constraints. The last part of the talk will focus on recent advances on using a combination of local search methods and convex lifting to solve low-rank factorization models of SP problems.
Event date: 11/10/2022
Speaker: Prof. Kim-Chuan Toh (National University of Singapore)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Semidefinite programming
- Resource Type:
- Video
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Video
We introduce a Dimension-Reduced Second-Order Method (DRSOM) for convex and nonconvex (unconstrained) optimization. Under a trust-region-like framework, our method preserves the convergence of the second-order method while using only Hessian-vector products in two directions. Moreover; the computational overhead remains comparable to the first-order such as the gradient descent method. We show that the method has a local super-linear convergence and a global convergence rate of 0(∈-3/2) to satisfy the first-order and second-order conditions under a commonly used approximated Hessian assumption. We further show that this assumption can be removed if we perform one step of the Krylov subspace method at the end of the algorithm, which makes DRSOM the first first-order-type algorithm to achieve this complexity bound. The applicability and performance of DRSOM are exhibited by various computational experiments in logistic regression, L2-Lp minimization, sensor network localization, neural network training, and policy optimization in reinforcement learning. For neural networks, our preliminary implementation seems to gain computational advantages in terms of training accuracy and iteration complexity over state-of-the-art first-order methods including SGD and ADAM. For policy optimization, our experiments show that DRSOM compares favorably with popular policy gradient methods in terms of the effectiveness and robustness.
Event date: 19/09/2022
Speaker: Prof. Yinyu Ye (Stanford University)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Nonconvex programming Mathematical optimization
- Resource Type:
- Video