P
Po Yang
Researcher at University of Sheffield
Publications - 147
Citations - 4257
Po Yang is an academic researcher from University of Sheffield. The author has contributed to research in topics: Computer science & Wearable technology. The author has an hindex of 30, co-authored 131 publications receiving 2663 citations. Previous affiliations of Po Yang include Yunnan University & Chinese Academy of Sciences.
Papers
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Advanced internet of things for personalised healthcare systems
TL;DR: This paper will give a systematic review on advanced IoT enabled PHS, and key enabling technologies, major IoT enabled applications and successful case studies in healthcare, and finally point out future research trends and challenges.
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Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications
TL;DR: This paper proposes an original, energy-friendly, and computationally efficient CNN architecture, inspired by the SqueezeNet architecture for fire detection, localization, and semantic understanding of the scene of the fire, which uses smaller convolutional kernels and contains no dense, fully connected layers.
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Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data
TL;DR: This article proposed a CLMB model for analysing microblogging user behaviour and their activity across different countries in the CPSS applications, and evaluated CLBM model under the collected microblog dataset from 16 countries with the largest number of representative and active users in the world.
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Secure and Robust Fragile Watermarking Scheme for Medical Images
Abdulaziz Shehab,Mohamed Elhoseny,Khan Muhammad,Arun Kumar Sangaiah,Po Yang,Haojun Huang,Guolin Hou +6 more
TL;DR: A new fragile watermarking-based scheme for image authentication and self-recovery for medical applications that greatly improves both tamper localization accuracy and the peak signal to noise ratio of self-recovered image.
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Efficient Object Localization Using Sparsely Distributed Passive RFID Tags
TL;DR: In this article, a measure for accuracy and precision in a passive RFID localization system with regard to RFID tag distribution is defined, and an exponential-based function is derived from experimental measurements, which reflects the relationship between RFID tags distribution and localization precision.