Database Systems for Advanced Applications
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part I
Article
Working memory is a complex cognitive system that temporarily maintains purpose-relevant information during human cognition performance. Working memory performance has also been found to be sensitive to high-a...
Chapter and Conference Paper
Recent advances in vehicle re-identification based on complex illuminance rely on multi-spectral data: visible (VI) spectra, near-infrared (NIR), and thermal infrared (TIR) spectra. However, in various applica...
Article
To overcome the shortcomings of the traditional parameter identification methods of photovoltaic cell model, including low accuracy, slow convergence speed, easy to be trapped in local optimum so on, a paramet...
Article
Non-volatile memories (NVMs) provide lower latency and higher bandwidth than block devices. Besides, NVMs are byte-addressable and provide persistence that can be used as memory-level storage devices (non-vola...
Article
Swarm intelligence has become a hot research field of artificial intelligence. Considering the importance of swarm intelligence for the future development of artificial intelligence, we discuss and analyze swa...
Chapter and Conference Paper
The SVM (Support Vector Machine) faces a huge challenge on reducing training time in the presence of large data sets due to its high computational cost. The SMO (Sequential Minimal Optimization) algorithm is u...
Chapter and Conference Paper
AR shop** has attracted significant attention with the emergence of popular AR applications, e.g., IKEA Place and Nike AR Fit. However, most AR stores merely provide auxiliary information for each user, inst...
Article
The parameter analysis of satellite tracking, telemetry, and command signal is necessary for space situational awareness. Unified S-Band (USB) waveforms are widely used in space missions. As a crucial paramete...
Article
The dataflow architecture, which is characterized by a lack of a redundant unified control logic, has been shown to have an advantage over the control-flow architecture as it improves the computational perform...
Article
Technique of approximate optimal vibration control and simulation for vehicle active suspension systems are developed. Considered the nonlinear dam** of springs, mechanical model and a nonlinear dynamic syst...
Article
Book and Conference Proceedings
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part I
Book and Conference Proceedings
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part III
Chapter and Conference Paper
The original version of the book was inadvertently published with incorrect acknowledgements in chapters 28 and 31. The acknowledgements have been corrected and read as follows: Acknowledgement: “This paper is...
Book and Conference Proceedings
26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part II
Chapter and Conference Paper
With the acceleration of globalization, the acculturation issue of design is becoming an emerging challenge. At the same time, as one of the several design patterns in service design, which is becoming a mains...
Chapter and Conference Paper
Static network embedding has been widely studied to convert sparse structure information into a dense latent space. However, the majority of real networks are continuously evolving, and deriving the whole embe...
Article
Defocus blur is one of the primary problems among hyperspectral imaging systems equipped with simple lenses. Most of the previous deblurring methods focus on how to utilize structure information of a single ch...
Chapter and Conference Paper
In this paper, a new multi-class classification technology combining fuzzy neural network and ensemble learning technology is proposed. Several fuzzy neural networks, including fuzzy TS neural network and fuzz...
Chapter and Conference Paper
The traditional collaborative filtering recommendation algorithm only uses the item-user rating matrix without considering the semantic information of the item itself, resulting in a problem that the recommend...