4 citations · 11 across the 7 of their papers we have counts for
7 papers
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation
Xuewen Zhang, Yan Qin, Chau Yuen +2
For health prognostic task, ever-increasing efforts have been focused on machine learning-based methods, which are capable of yielding accurate remaining useful life (RUL) estimati…
Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images
Qianru Zhang, Meng Zhang, Chinthaka Gamanayake +7
Quality control is of vital importance during electronics production. As the methods of producing electronic circuits improve, there is an increasing chance of solder defects durin…
Indoor Positioning using Similarity-based Sequence and Dead Reckoning without Training
Ran Liu, Chau Yuen, Tri-Nhut Do +3
For the traditional fingerprinting-based positioning approach, it is essential to collect measurements at known locations as reference fingerprints during a training phase, which c…
Cooperative Relative Positioning of Mobile Users by Fusing IMU Inertial and UWB Ranging Information
Ran Liu, Chau Yuen, Tri-Nhut Do +3
Relative positioning between multiple mobile users is essential for many applications, such as search and rescue in disaster areas or human social interaction. Inertial-measurement…
SenseFlow: An Experimental Study for Tracking People
Kai Li, Chau Yuen, Salil S. Kanhere +4
The main challenges in large-scale people tracking are the recognition of people density in a specific area and tracking the people flow path. To address these challenges, we prese…
System Design of Internet-of-Things for Residential Smart Grid
Sanjana Kadaba Viswanath, Chau Yuen, Wayes Tushar +5
Internet-of-Things (IoTs) envisions to integrate, coordinate, communicate, and collaborate real-world objects in order to perform daily tasks in a more intelligent and efficient ma…
Selective AP-sequence Based Indoor Localization without Site Survey
Ran Liu, Chau Yuen, Jun Zhao +4
In this paper, we propose an indoor localization system employing ordered sequence of access points (APs) based on received signal strength (RSS). Unlike existing indoor localizati…