AIMC Topic: Electric Power Supplies

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Distributed optimal power flow.

PloS one Jun 18, 2021
OBJECTIVE: The objectives of this paper are to 1) construct a new network model compatible with distributed computation, 2) construct the full optimal power flow (OPF) in a distributed fashion so that an effective, non-inferior solution can be found,...
Electric Power Supplies Models, Theoretical Electricity Humans Neural Networks, Computer Algorithms Computer Simulation
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Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning.

IEEE transactions on biomedical circuits and systems May 25, 2021
Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side effects. We propose the first piece of technology tailored explicitly to close the loop between anae...
Anesthesiology Humans Anesthetics Machine Learning Electric Power Supplies Drug Monitoring Electronics
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RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system.

PloS one Apr 8, 2021
The energy demand in the world has increased rapidly in the last few decades. This demand is arising the need for alternative energy resources. Solar energy is the most eminent energy resource which is completely free from pollution and fuel. However...
Neural Networks, Computer Temperature Equipment Design Solar Energy Algorithms Computer Simulation Sunlight Electric Power Supplies
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A Battery-Like Self-Selecting Biomemristor from Earth-Abundant Natural Biomaterials.

ACS applied bio materials Feb 2, 2021
Using the earth-abundant natural biomaterials to manufacture functional electronic devices meets the sustainable requirement of green electronics, especially for the practical application of memristors in data storage and neuromorphic computing. Howe...
Biocompatible Materials Electric Power Supplies Density Functional Theory Anthocyanins Electronics Humans Materials Testing Neural Networks, Computer
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning.

PloS one Oct 7, 2020
To detect false data injection attacks (FDIAs) in power grid reconstruction and solve the problem of high data dimension and bad abnormal data processing in the power system, thereby achieving safe and stable operation of the power grid system, this ...
Humans Neural Networks, Computer Databases, Factual Computer Simulation Machine Learning China Electric Power Supplies Algorithms Computer Security Power Plants
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A Self-Powered Angle Sensor at Nanoradian-Resolution for Robotic Arms and Personalized Medicare.

Advanced materials (Deerfield Beach, Fla.) Jun 30, 2020
As the dominant component for precise motion measurement, angle sensors play a vital role in robotics, machine control, and personalized rehabilitation. Various forms of angle sensors have been developed and optimized over the past decades, but none ...
Electric Power Supplies Orthopedic Equipment Rotation Nanotechnology Robotics Equipment Design Precision Medicine
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From Bits of Data to Bits of Knowledge-An On-Board Classification Framework for Wearable Sensing Systems.

Sensors (Basel, Switzerland) Mar 16, 2020
Wearable systems constitute a promising solution to the emerging challenges of healthcare provision, feeding machine learning frameworks with necessary data. In practice, however, raw data collection is expensive in terms of energy, and therefore imp...
Biosensing Techniques Electric Power Supplies Machine Learning Wearable Electronic Devices Humans
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Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system.

PloS one Jan 30, 2020
This paper proposes an approach to accurately estimate the impedance value of a high impedance fault (HIF) and the distance from its fault location for a distribution system. Based on the three-phase voltage and current waveforms which are monitored ...
Neural Networks, Computer Electric Power Supplies Electric Impedance Wavelet Analysis Equipment Failure
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Convolutional Neural Networks for the Design and Analysis of Non-Fullerene Acceptors.

Journal of chemical information and modeling Nov 21, 2019
Convolutional neural network (CNN) is employed to construct generative and prediction models for the design and analysis of non-fullerene acceptors (NFAs) in organic solar cells. It is demonstrated that the dilated causal CNN can be trained as a good...
Thermodynamics Electric Power Supplies Neural Networks, Computer Drug Design Organic Chemicals Solar Energy
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A Unified Novel Neural Network Approach and a Prototype Hardware Implementation for Ultra-Low Power EEG Classification.

IEEE transactions on biomedical circuits and systems May 15, 2019
This paper introduces a novel electroencephalogram (EEG) data classification scheme together with its implementation in hardware using an innovative approach. The proposed scheme integrates into a single, end-to-end trainable model a spatial filterin...
Electroencephalography Electric Power Supplies Neural Networks, Computer Algorithms
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