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Healthcare-associated infections (HAIs) can be caused by microorganisms present in common practice instruments generating major health problems the hospital environment. The aim of this work was to utilize disinfection capacity a portable ultraviolet C equipment (UV Sanitizer Box and UV-C Sterilization Torch) developed disinfect different objects. Pollution macro micro environment has concerns f...

This paper presents the results of an experimental study spatial structure a microwave discharge maintained in argon flow by gyrotron radiation continuous mode with frequency 24 GHz at atmospheric pressure. In plasma plume, stationary filamentary channels are observed, elongated along direction flow, regardless orientation external electric field wave, surrounded diffusion halo. Measurements el...

INTRODUCTION Chronic obstructive pulmonary disease (COPD) is a progressive disease affecting 3 million people in the UK, in which patients exhibit airflow obstruction that is not fully reversible. COPD treatment guidelines are largely informed by randomised controlled trial results, but it is unclear if these findings apply to large patient populations not studied in trials. Non-interventional ...

The question of how to control a robotic welding torch to trace the joint between two cylindrical pipes can be reduced to a problem in algebra. Maple can be utilised to derive the parametric equations describing the curve of intersection between the two cylinders, and then to explore the solution graphically for various physical parameters. This problem can serve as an excellent introduction to...

We present an overview of recent research at IDIAP on speech & face based biometric authentication. This paper covers usercustomised passwords, adaptation techniques, confidence measures (for use in fusion of audio & visual scores), face verification in difficult image conditions, as well as other related research issues. We also overview the open source Torch library, which has aided in the im...

The study and adoption of deep learning methods has led to significant progress in different application domains. As deep learning continues to show promise and its utilization matures, so does the infrastructure and software needed to support it. Various frameworks have been developed in recent years to facilitate both implementation and training of deep learning networks. As deep learning has...