Energy-efficient prediction of smartphone unlocking
We investigate the predictability of the next unlock event on smartphones, using machine learning and smartphone contextual data. In a 2-week field […]
Design of UHF RFID Tag Antenna for Automotive Tire
In this paper, a novel UHF RFID Tag antenna for automotive tire is presented. The antenna shape and size are optimized by […]
Secure and Efficient Data Accessibility in Blockchain Based Healthcare Systems
The healthcare industry is constantly reforming and adopting new shapes with respect to the technological evolutions and transitions. One of the crucial […]
An Iterative Approach for Inter-Group Interference Management in Two-Stage Precoder Design
We consider a single cell downlink (DL) massive multiple-input multiple-output (MIMO) set up with user clustering based on statistical information. The problem […]
3D Skeletal Gesture Recognition via Sparse Coding of Time-Warping Invariant Riemannian Trajectories
3D skeleton based human representation for gesture recognition has increasingly attracted attention due to its invariance to camera view and environment dynamics. […]
Machine vision-based segmentation and classification method for intelligent roller surface monitoring
The surface quality of steel rollers is a key factor determining the quality of final products such as metal sheets and foils […]
New generation artificial intelligence-driven intelligent manufacturing (NGAIIM)
In order to embrace new generation artificial intelligence to upgrade manufacturing industry, we propose the concept of new generation artificial intelligence-driven intelligent […]
INDICS
The industrial Internet integrates the Internet, big data, artificial intelligence, and the real economy. We introduce China’s first industrial Internet platform INDICS […]
A scalable and efficient multi-label cnn-based license plate recognition on spark
Surveillance cameras are being rapidly deployed for facilitating smart transportation. Recognizing the vehicle license plate from massive videos becomes a challenge in […]
Effect of experience sampling schedules on response rate and recall accuracy of objective self-reports
The Experience Sampling Method is widely used to collect human labelled data in the wild. Using this methodology, study participants repeatedly answer […]