Search
Now showing items 1-10 of 1502
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
(
Elsevier
, 2020 , Article)
Providing the user with appliance-level consumption data is the core of each energy efficiency system. To that end, non-intrusive load monitoring is employed for extracting appliance specific consumption data at a low cost ...
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
(
Elsevier
, 2021 , Article)
Non-intrusive load monitoring (NILM) is a key cost-effective technology for monitoring power consumption and contributing to several challenges encountered when transiting to an efficient, sustainable, and competitive ...
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
(
Elsevier
, 2020 , Article)
Recently, a growing interest has been dedicated towards developing and implementing low-cost energy efficiency solutions in buildings. Accordingly, non-intrusive load monitoring has been investigated in various academic ...
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
(
John Wiley and Sons Ltd
, 2021 , Article)
Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ...
ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing under Real-Time Constraints
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
Remote health monitoring is becoming indispensable, though, Internet of Things (IoTs)-based solutions have many implementation challenges, including energy consumption at the sensing node, and delay and instability due to ...
Revolutionizing ECMO simulation with affordable yet high-Fidelity technology
(
Elsevier
, 2018 , Article)
Simulation-based training (SBT) is becoming a necessity in educating healthcare professionals who work in high-risk environments, such as the intensive care unit (ICU) [1]. This applies to extracorporeal membrane oxygenation ...
Design and implementation of a gas identification system on Zynq SoC platform
(
Asian Research Publishing Network
, 2015 , Article)
The Zynq-7000 based platforms are increasingly being used in different applications including image and signal processing. The Zynq system on chip (SoC) architecture combines a processing system based on a dual core ARM ...
Using big data and federated learning for generating energy efficiency recommendations
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
Internet of Things (IoT) devices are becoming popular solutions for smart home and office environments and contribute the most to energy efficiency. The most common implementation of such solutions relies on smart home ...
Impact of feature reduction and operating temperature on gas identification
(
Asian Research Publishing Network
, 2015 , Article)
Tin-oxide based gas sensor requires an operating temperature typically in the range of 200 °C to 400 °C and its performance dependents on this temperature. In this paper a deep examination has been made to analyze the best ...
Editorial for FGCS special issue: Intelligent IoT systems for healthcare and rehabilitation
(
Elsevier
, 2021 , Article)
The emerging field of flexible bio-mechatronic technologies, such as wearable sensors, actuators and robots, are playing more and more crucial roles in the design and development of next generation healthcare and rehabilitation ...