[图书][B] Radar for indoor monitoring: Detection, classification, and assessment
M Amin - 2017 - books.google.com
This book aims to capture recent advances and breakthroughs in in-home radar monitoring
of human motions and activities. It addresses three key attributes of radar for in-door human …
of human motions and activities. It addresses three key attributes of radar for in-door human …
Sensors in assisted living: A survey of signal and image processing methods
Our society will face a notable demographic shift in the near future. According to a United
Nations report, the ratio of the elderly population (aged 60 years or older) to the overall …
Nations report, the ratio of the elderly population (aged 60 years or older) to the overall …
Oil and Gas Pipelines Leakage Detection Approaches: A Systematic Review of Literature.
In terms of its significance, the oil & gas industry is ranked among the top global
industries. Like any other industry, it also faces various problems, such as leakage of oil and …
industries. Like any other industry, it also faces various problems, such as leakage of oil and …
A low power impulse radio design for body-area-networks
This paper presents a low power radio design tailored to the short distance, low data rate
application of body area networks. In our analysis we consider a comparison between …
application of body area networks. In our analysis we consider a comparison between …
Review of signal processing applications of Pyroelectric Infrared (PIR) sensors with a focus on respiration rate and heart rate detection
The article reviews signal processing applications of Pyroelectric Infrared (PIR) sensors with
the main focus on the respiration and pulse rate detection. Respiration and pulse rates are …
the main focus on the respiration and pulse rate detection. Respiration and pulse rates are …
Real-time epileptic seizure detection during sleep using passive infrared sensors
This paper addresses the problem of detecting epileptic seizures experienced by a human
subject during sleep. Commonly used solutions to this problem mostly rely on detecting …
subject during sleep. Commonly used solutions to this problem mostly rely on detecting …
Deep-learning-based gas leak source localization from sparse sensor data
In this article, we address the problem of estimating the location of gas leak sources using
sparse unreliable spatio-temporal chemical sensor data. We pose the task of estimating the …
sparse unreliable spatio-temporal chemical sensor data. We pose the task of estimating the …
Detecting anomaly in chemical sensors via L1-kernel-based principal component analysis
We propose a kernel-PCA-based method to detect anomaly in chemical sensors. We use
temporal signals produced by chemical sensors to form vectors to perform the principal …
temporal signals produced by chemical sensors to form vectors to perform the principal …
Computationally efficient spatio-temporal dynamic texture recognition for volatile organic compound (voc) leakage detection in industrial plants
In this article, we present a computationally efficient algorithm to detect Volatile Organic
Compounds (VOC) leaking out of components used in chemical processes in petrochemical …
Compounds (VOC) leaking out of components used in chemical processes in petrochemical …
Development of esp32-based wi-fi electronic nose system for monitoring lpg leakage at gas cylinder refurbish plant
AH Abdullah, S Sudin, MIM Ajit… - … approach in smart …, 2018 - ieeexplore.ieee.org
Liquefied Petroleum Gas (LPG) is being used for heating in a wide range of domestic,
industry and automobile applications. There has been a serious safety concern relating to …
industry and automobile applications. There has been a serious safety concern relating to …