College of Engineering: Recent submissions
Now showing items 2601-2620 of 8384
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Editorial for FGCS special issue: Intelligent IoT systems for healthcare and rehabilitation
( Elsevier , 2021 , Other)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 ... -
Revolutionizing ECMO simulation with affordable yet high-Fidelity technology
( Elsevier , 2018 , Other)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 ... -
Next-generation energy systems for sustainable smart cities: Roles of transfer learning
( Elsevier , 2022 , Article Review)Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while improving grid stability and meeting service demand. This is possible by adopting next-generation energy systems, which leverage ... -
Building power consumption datasets: Survey, taxonomy and future directions
( Elsevier , 2020 , Article Review)In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, ... -
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Identifying domestic appliances in the smart grid leads to a better power usage management and further helps in detecting appliance-level abnormalities. An efficient identification can be achieved only if a robust feature ... -
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
( Springer Nature , 2022 , Article)In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control ... -
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 ... -
Detection of Appliance-Level Abnormal Energy Consumption in Buildings Using Autoencoders and Micro-moments
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)The detection of anomalous energy usage could help significantly in signaling energy wastage and identifying faulty appliances, especially if the individual power traces are analyzed. To that end, this paper proposes a ... -
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)Edge computing is attracting an increasing attention presently even though most of the building energy efficiency solutions are still using cloud computing for gathering, pre-processing and analyzing energy data. However, ... -
Smart power consumption abnormality detection in buildings using micromoments and improved K-nearest neighbors
( John Wiley and Sons Ltd , 2021 , Article)Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and reducing carbon emissions. Therefore, implementing powerful techniques ... -
Improving In-Home Appliance Identification Using Fuzzy-Neighbors-Preserving Analysis Based QR-Decomposition
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints. In ... -
Efficient multi-descriptor fusion for non-intrusive appliance recognition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular ... -
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
( Springer , 2020 , Article)Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ... -
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 ... -
An innovative edge-based Internet of Energy solution for promoting energy saving in buildings
( Elsevier , 2022 , Article)Due to the ubiquity and maturity of Artificial Intelligence (AI), it became an essential tool in the development real-time Internet of energy (IoE) solutions. Also, since cloud platforms are not being the first implementation ... -
Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Energy (IoE) is revolutionizing the building energy industry by introducing numerous innovations that help in data collection, interpretation, and behavioural improvement. Consequently, collecting and analyzing ... -
Appliance-Level Monitoring with Micro-Moment Smart Plugs
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry ... -
Hardware PCA for gas identification systems using high level synthesis on the Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)One of the significant stages in a gas identification system is dimensionality reduction to speed up the processing part. This is even more important when the system is implemented on a hardware platform where the resources ...
