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Now showing items 91-96 of 96
A Soft Switching Single Stage Isolated Three Phase Bidirectional PFC Converter for Electric Vehicles charging
(
IEEE
, 2019 , Conference Paper)
This paper proposes a bidirectional three phase single stage ac-dc converter for applications like Electric Vehicle (EV) chargers. AC side of the proposed converter consists of current fed half bridge converter for each ...
Iot-based fall and ecg monitoring system: Wireless communication system based firebase realtime database
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
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. ...
Boosting domestic energy efficiency through accurate consumption data collection
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ...
"I want to ... Change": Micro-moment based recommendations can change users' energy habits
(
SciTePress
, 2019 , Conference Paper)
Since electricity consumption of households in developing countries is dramatically increasing every year, it is now more prudent than ever to utilize technology-based solutions that assist energy end-users to improve ...
Zynq SoC based lattice-boltzmann simulation environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Cerebral aneurysm is a life-threatening disease that may enlarge and bleed into surrounding area. Therefore, diagnosis of aneurysm is highly important as early as possible to help doctors to decide the right treatment. The ...
1-D Convolutional Neural Networks for Signal Processing Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ...