College of Engineering: Recent submissions
Now showing items 2581-2600 of 8384
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Smart energy usage and visualization based on micro-moments
( Springer Verlag , 2020 , Conference Paper)Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods ... -
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 ... -
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)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 ... -
Heterogeneous Implementation of ECG Encryption and Identification on the Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper presents an innovative and safe connected health solution for human identification. The system consists of the encryption and decryption of ECG signals using the advanced encryption standard (AES) as well as the ... -
High Level Synthesis Based E-Nose System for Gas Applications
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper proposes a hardware/software co-design approach using the Zynq platform for the implementation of an electronic nose (EN) system based on principal component analysis (PCA) as a dimensionality reduction technique ... -
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
( Elsevier , 2023 , Short Survey)Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ... -
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 Paper)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 ... -
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 ... -
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 ... -
Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and ... -
A model for predicting room occupancy based on motion sensor data
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)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 ... -
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 ... -
Reshaping Consumption Habits by Exploiting Energy-Related Micro-moment Recommendations: A Case Study
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)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 ... -
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
( John Wiley and Sons Ltd , 2021 , Article)The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to human expectations, but also created the ... -
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
( Elsevier , 2022 , Article)Despite the variety of sensors that can be used in a smart home or office setup, for monitoring energy consumption and assisting users to save energy, their usefulness is limited when they are not properly integrated into ... -
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 ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ...
