Search Constraints
Number of results to display per page
Results for:
Technology Application and Innovation
Remove constraint Technology Application and Innovation
Polyu oer sim
No
Remove constraint Polyu oer sim: No
« Previous |
1 - 10 of 28
|
Next »
Search Results
-
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, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
-
Courseware
Global Satellite Navigation Systems (GNSS), such as GPS, have revolutionized positioning and navigation. Currently, four such systems are operational or under development. They are the American GPS, the Russian Glonass, the European Galileo, and the Chinese Beidou-Compass. This course will address: (1) the technical principles of Global Navigation Satellite Systems (GNSS), (2) the methods to improve the accuracy of standard positioning services down to the millimeter accuracy level and the integrity of the systems, and (3) the various applications for positioning, navigation, geomatics, earth sciences, atmospheric research and space missions. The course will first address the space segment, user and control segment, signal structure, satellite and receiver clocks, timing, computation of satellite positions, broadcast and precise ephemeris. It will also cover propagation error sources such as atmospheric effects and multipath. The second part of the course covers autonomous positioning for car navigation, aviation, and location based services (LBS). This part includes the integrity of GNSS systems provided for instance by Space Based Augmentation Systems (e.g. WAAS, EGNOS) and Receiver Autonomous Integrity Monitoring (RAIM). It will also cover parameter estimation in dynamic systems: recursive least-squares estimation, Kalman filter (time update, measurement update), innovation, linearization and Extended Kalman filter. The third part of the course covers precise relative GPS positioning with two or more receivers, static and kinematic, for high-precision applications. Permanent GPS networks and the International GNSS Service (IGS) will be discussed as well. In the last part of the course there will be two tracks (students only need to do one): (1) geomatics track: RTK services, LBS, surveying and mapping, civil engineering applications (2) space track: space based GNSS for navigation, control and guidance of space missions, formation flying, attitude determination The final lecture will be on (scientific) applications of GNSS.
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Global Positioning System Artificial satellites in navigation
- Resource Type:
- Courseware
-
MOOC
In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- China Cities towns -- Data processing City planning Big data
- Resource Type:
- MOOC
-
Courseware
Photovoltaic systems are often placed into a microgrid, a local electricity distribution system that is operated in a controlled way and includes both electricity users and renewable electricity generation. This course deals with DC and AC microgrids and covers a wide range of topics, from basic definitions, through modelling and control of AC and DC microgrids to the application of adaptive protection in microgrids. You will master various concepts related to microgrid technology and implementation, such as smart grid and virtual power plant, types of distribution network, markets, control strategies and components. Among the components special attention is given to operation and control of power electronics interfaces. You will familiarize yourself with the advantages and challenges of DC microgrids (which are still in an early stage). You will have the opportunity to master the topic of microgrids through an exercise in which you will evaluate selected pilot sites where microgrids were deployed. The evaluation will take the form of a simulation assignment and include a peer review of the results.
- Subjects:
- Environmental Engineering and Building Services Engineering
- Keywords:
- Solar energy Renewable energy sources Photovoltaic power systems Microgrids (Smart power grids)
- Resource Type:
- Courseware
-
Courseware
Around the world, major challenges of our time such as population growth and climate change are being addressed in cities. Here, citizens play an important role amidst governments, companies, NGOs and researchers in creating social, technological and political innovations for achieving sustainability. Citizens can be co-creators of sustainable cities when they engage in city politics or in the design of the urban environment and its technologies and infrastructure. In addition, citizens influence and are influenced by the technologies and systems that they use every day. Sustainability is thus a result of the interplay between technology, policy and people’s daily lives. Understanding this interplay is essential for creating sustainable cities. In this MOOC, we zoom in on Amsterdam, Beijing, Ho Chi Minh City, Nairobi, Kampala and Suzhou as living labs for exploring the dynamics of co-creation for sustainable cities worldwide. We will address topics such as participative democracy and legitimacy, ICTs and big data, infrastructure and technology, and SMART technologies in daily life. This global scope will be used to illustrate why specific forms of co-creation are preferred in specific urban contexts. Moreover, we will investigate and compare these cities on three themes that have a vast effect on city life: - Water and waste - Energy, air, food and mobility - Green spaces and food This MOOC will teach you about the dynamics of co-creation and the key principles of citizens interacting with service providing companies, technology and infrastructure developers, policy makers and researchers. You will gain an understanding of major types of co-creation and their interdependency with their socio-technical and political contexts. You will become equipped to indicate how you can use co-creation to develop innovative technologies, policy arrangements or social practices for a sustainable city in your own community. You will demonstrate this by developing an action plan, research proposal or project idea. Basic knowledge of sustainability in urban settings, urban environmental technology and urban management is assumed.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Sustainable development Sustainable development -- Citizen participation City planning
- Resource Type:
- Courseware
-
Courseware
Energy storage will be of major importance when more and more energy is produced using fluctuating renewable sources like wind and solar power. This course concerns two energy storage methods: storage in the form of the artificial fuel hydrogen, and storage in the form of batteries. In the transition to a sustainable-energy future, both hydrogen and batteries will likely play increasingly important roles. Hydrogen has the advantage of effectively limitless scale up potential while batteries have the advantage of high energy efficiency. Methods for sustainable and renewable hydrogen production include solar, wind power, direct photo-electrolysis of water, thermal and nuclear methods as well as biological options. The students will learn about such production methods of hydrogen using renewable energy sources, and separation technologies for clean hydrogen. The application of hydrogen requires cheap, safe, lightweight and easy to handle storage of hydrogen. The course presents current options for storage of hydrogen, including light metal hydrides, large adsorption surface, and nanostructured materials, as well as gaseous and liquid hydrogen storage. It will be explained that the ultimate solution still needs to be found. Students will get an overview of most recent advances and bottlenecks, synthesis and characterization techniques. The electrical energy storage in batteries concerns the principles of (rechargeable) batteries, mainly Li-ion, and the relation of the performance with material properties. The relation between properties at the atomic level with the real life battery performance will be displayed. The principles will be explained in terms of basic electrochemistry and thermodynamics. The course will present recent advantage in the field of Li ion batteries. In addition super-capacitors, allowing fast (dis)charge and based on similar principles, are part of the course.
- Subjects:
- Building Services Engineering, Chemistry, and Environmental Engineering
- Keywords:
- Storage batteries Renewable energy sources Hydrogen as fuel Energy storage Hydrogen -- Storage
- Resource Type:
- Courseware
-
Courseware
Conducting innovative research is working on the edge of the known and the unknown. In creating new technology the result is never guaranteed. Society faces a tremendous challenge in order to develop in a more sustainable way. What role is there for technology in this process of change? How could we stimulate innovations in technological systems?
-
Courseware
The course deals with background and application of various wastewater treatment technologies. Both high-tech and low-tech systems are discussed, which are applicable in industrialized and developing countries. Anaerobic treatment systems, focusing on resource recovery are extensively discussed. Modern technologies for (extensive) nutrient removal / recovery are dealt with as well as membrane techniques for wastewater treatment.
- Subjects:
- Environmental Engineering
- Keywords:
- Water -- Purification Sewage -- Purification
- Resource Type:
- Courseware
-
Courseware
This course focuses on the use of remotely sensed imagery and elevation data in GIS applications. Students enrolling in this course should have a solid conceptual foundation in geospatial information science and technology. The course is appropriate for those who are already working in the geospatial profession and wish to use imagery and elevation data in visualization and spatial analysis.
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Geographic information systems Image processing -- Digital techniques
- Resource Type:
- Courseware
-
Courseware
This course gives an overview of engineering management and covers topics such as financial principles, management of innovation, technology strategy, and best management practices. The focus of the course is the development of individual skills and team work. This is carried out through an exposure to management tools.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- Engineering -- Management
- Resource Type:
- Courseware
- « Previous
- Next »
- 1
- 2
- 3