Results 61 to 70 of about 10,057,169 (215)

Variability-Aware Design of RRAM-Based Analog CAMs

open access: yesIEEE Access
Content Addressable Memories (CAMs) are considered a key enabler for in-memory computing (IMC). IMC shows an order of magnitude improvement in energy efficiency and throughput compared to traditional computing techniques.
Jinane Bazzi   +4 more
doaj   +1 more source

A High-Voltage Energy-Harvesting Interface for Irregular Kinetic Energy Harvesting in IoT Systems with 1365% Improvement Using All-NMOS Power Switches and Ultra-low Quiescent Current Controller

open access: yesSensors, 2019
An energy-harvesting interface for kinetic energy harvesting from high-voltage piezoelectric and triboelectric generators is proposed in this paper. Unlike the conventional kinetic energy-harvesting interfaces optimized for continuous sinusoidal input ...
Hassan Saif   +4 more
doaj   +1 more source

The Effects of the Acute Hypoxia to the Fundamental Frequency of the Speech Signal

open access: yesAdvances in Electrical and Computer Engineering, 2012
When people that live at the small altitudes (up to 400 m above the sea level) climb on the mountain, they are exposed to the effects of an acute hypoxia. As a consequence, theirs oxygen concentration decreases in the tissue.
MILIVOJEVIC, Z. N.   +2 more
doaj   +1 more source

EVALUATION OF THE ENERGY MARKET SOGD AND PROBLEMS OF ITS DEVELOPMENT

open access: yesСтатистика и экономика, 2016
The article describes the state of the energy market, the problem of imbalance power Sogd region. Showing reception, transmission power of certain companies and organizations in the region.
Mavluda A. Alinazarova
doaj   +1 more source

Effect of window-to-wall ratio on measured energy consumption in US office buildings

open access: yesEnergy and Buildings, 2019
Windows can significantly affect building performance, and the window-to-wall ratio (WWR) describes the portion of an exterior wall that consists of windows.
Luke Troup   +3 more
semanticscholar   +1 more source

FedSensor: Federated Learning Framework for Secure Sensor-Based IoT at the Extreme Edge

open access: yesIEEE Access
Ultra-low-power IoT devices at the extreme edge generate valuable data for machine learning applications, however, these devices face stringent limitations in processing power, memory, and energy capacity.
Norisvaldo Ferraz Junior   +4 more
doaj   +1 more source

Conformal Prediction for electricity price forecasting in the day-ahead and real-time balancing market

open access: yesEnergy and AI
The integration of renewable energy into electricity markets poses significant challenges to price stability and increases the complexity of market operations.
Ciaran O’Connor   +4 more
doaj   +1 more source

What Is the Optimal Sampling Time of Environmental Parameters? Fourier Analysis and Energy Harvesting to Reduce Sensors Consumption in Smart Greenhouses

open access: yesAgriEngineering
Smart greenhouses offer crucial solutions for reducing our atmospheric impact and resource waste. However, two fundamental challenges persist in their implementation, massive energy consumption and a high level of human intervention, particularly for ...
Cristian Bua   +2 more
doaj   +1 more source

Interval prediction of wave energy characteristics using meta-cognitive interval type-2 fuzzy inference system

open access: yesKnowledge-Based Systems, 2019
While significant efforts for online learning have been devoted to arrive at reliable predictions of crisp values, the problem of prediction interval (PI) in practical data is one of the underexplored areas in the existing literature. PI aims to produce upper and lower bound predictions which capture possible domain solution.
Anh, Nguyen   +3 more
openaire   +4 more sources

Train adaptive energy saving strategy based on iterative induced genetic algorithm

open access: yes机车电传动, 2023
In response to the inefficient consideration of complex manipulation characteristics constraints and dynamic traction system efficiency issues in existing train energy-saving strategies, a detailed energy consumption calculation model for train operation
MEI Wenqing, SHI Ke, ZHANG Zhengfang
doaj  

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