Simple Molecular Absorption Loss Model for 200—450 Gigahertz Frequency Band
This paper derives a simplified polynomial molecular absorption loss model for 200—450 GHz band. This band has a high potential for near […]
Efficacy study on interactive mixed reality (IMR) software with sepsis prevention medical education
Objective: In recent years, the training of novice medical professionals with simulated environments such as virtual reality (VR) and augmented reality (AR) […]
Open-source RANs in Practice
Edge computing that leverages cloud resources to the proximity of user devices is seen as the future infrastructure for distributed applications. However, […]
Evaluation of printed P(VDF-TrFE) pressure sensor signal quality in arterial pulse wave measurement
In this contribution, we evaluate the performance of an additively fabricated piezoelectric poly(vinylidenefluoride-cotrifluoroethylene) (P(VDF-TrFE)) based dynamic pressure sensor in non-invasive arterial pulse […]
Improving dual-arm assembly by master-slave compliance
In this paper we show how different choices regarding compliance affect a dual-arm assembly task. In addition, we present how the compliance […]
Imitating Human Search Strategies for Assembly
We present a Learning from Demonstration method for teaching robots to perform search strategies imitated from humans in scenarios where alignment tasks […]
Performance Evaluation of Windowing Based Energy Detector in Multipath and Multi-Signal Scenarios
Connectivity in remote areas continues to be a major challenge despite of the evolution of cellular technology. 5th Generation (5G) technology can […]
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, […]
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) […]