Electrical Engineering: Recent submissions
Now showing items 861-880 of 2840
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Interactive visual study for residential energy consumption data
( Elsevier , 2022 , Article)Interactive data visualization tools for residential energy data are instrumental indicators for analyzing end user behavior. These visualizations can be used as continuous home feedback systems and can be accessed from ... -
Novel Approach to Non-Invasive Blood Glucose Monitoring Based on Transmittance and Refraction of Visible Laser Light
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Current blood glucose monitoring (BGM) techniques are invasive as they require a finger prick blood sample, a repetitively painful process that creates the risk of infection. BGM is essential to avoid complications arising ... -
A High-Realism and Cost-Effective Training Simulator for Extracorporeal Membrane Oxygenation
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Medical simulators, employed in extracorporeal membrane oxygenation (ECMO), are burdened with costly equipment and low-fidelity methodologies. This dichotomy necessitated a new approach that eliminates high-costs and ... -
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)Machine learning and computer vision techniques have influenced many fields including the biomedical one. The aim of this paper is to investigate the important concept of schedulers in manipulating the learning rate (LR), ... -
Assessing Learning Outcomes in Extracorporeal Membrane Oxygenation Simulations with a Novel Simulator and Instructor Application
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Simulation plays an important part in enhancing the outcomes of clinical training worldwide. In particular, extracorporeal membrane oxygenation (ECMO) is a life-saving procedure that utilizes a cardiopulmonary bypass circuit ... -
An IoT-based framework for remote fall monitoring
( Elsevier , 2021 , Article)Fall detection is a serious healthcare issue that needs to be solved. Falling without quick medical intervention would lower elderly's chances of survival, especially if living alone. Hence, the need is there for developing ... -
Iot-based fall and ecg monitoring system: Wireless communication system based firebase realtime database
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Monitoring elderlies living alone has been a rising issue that caregivers are interested in solving since many elderlies are at risk of experiencing a fall. In the absence of urgent help, serious consequences may occur. ... -
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)This paper conveys the importance of using suitable data visualizations for electrical energy consumption and the effect it carries on reducing said consumption. Data visualization tools construct an important pillar in ... -
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 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)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)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 ... -
PCA IP-core for gas applications on the heterogenous zynq platform
(2013 , Conference)Principal component analysis (PCA) is a commonly used technique for data reduction in general as well as for dimensionality reduction in gas identification systems when a sensor array is being used. This paper presents the ... -
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 ... -
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 ... -
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings
( Springer Science and Business Media Deutschland GmbH , 2022 , Conference)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 ... -
A model for predicting room occupancy based on motion sensor data
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)When designing a large scale IoT ecosystem, it is important to provide economical solutions at all levels, from sensors and actuators to the software used for analytics and orchestration. It is of equal importance to provide ... -
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference)The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transition to more sustainable models of energy ...
