A part power set model for scale-free person retrieval
Recently, person re-identification (re-ID) has attracted increasing research attention, which has broad application prospects in video surveillance and beyond. To this end, […]
Transport Triggered Array Processor for Vision Applications
Low-level sensory data processing in many Internet-of-Things (IoT) devices pursue energy efficiency by utilizing sleep modes or slowing the clocking to the […]
A Survey on Security and Privacy of 5G Technologies
Security has become the primary concern in many telecommunications industries today as risks can have high consequences. Especially, as the core and […]
Deep learning based container text recognition
Traditional character segmentation has low accuracy for container scene text recognition. Convolutional recurrent neural network (CRNN) and connectionist text proposal network (CTPN) […]
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over […]
Enhancing Nutt-Based Time-to-Digital Converter Performance with Internal Systematic Averaging
A time-to-digital converter (TDC) often consists of sophisticated, multilevel, sub-gate delay structures, when time intervals need to be measured precisely. The resolution […]
Optimized Deployment of Millimeter Wave Networks for In-venue Regions with Stochastic Users’ Orientation
Millimeter wave (mmW) communication is a promising solution for providing high-capacity wireless network access. However, the benefits of mmW are limited by […]
Sensor lattices
This paper addresses the sensing uncertainty associated with the many-to-one mapping from a physical state space onto a sensor observation space. By […]
Statistical Modeling and Bit Error Rate Analysis for Bio-sensor Receivers in Molecular Communication
The behavior of bio-sensor receivers is studied for molecular communication (MC). Bacteria can be engineered as a bio-sensor receiver to produce an […]
Pedestrian re-identification based on tree branch network with local and global learning
Deep part-based methods in recent literature have revealed the great potential of learning local part-level representation for pedestrian image in the task […]