Results 71 to 80 of about 1,260 (226)

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri, Araz Rajabi‐Abhari, Owen Gibbs, Pengcheng Xi, Asif Abdullah Khan, Fangzheng Huang, Md Soyaeb Hassan, Ning Yan, Dayan Ban   +8 more
wiley   +1 more source

Modeling the Probability of Tsunami Fire Ignition Based on Data From the 2011 Tohoku and 2024 Noto Peninsula Earthquakes, With Recommendations to Reduce Emerging Fire Risk in Tsunami Vertical Evacuation Structures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Recent tsunamigenic earthquakes in Japan have highlighted the emerging fire hazard triggered by tsunami inundation and its impact on tsunami vertical evacuation (TVE) structures. This new type of fire following earthquake, referred to as “tsunami fires,” may be a potential universal hazard that tsunami‐prone countries face; however, it has not
Tomoaki Nishino
wiley   +1 more source

Data‐Driven Dual‐Channel Dynamic Event‐Triggered Load Frequency Control for Multiarea Power Systems Under DoS Attacks

Energy Science &Engineering, EarlyView.
ABSTRACT System dynamics uncertainties and cyberattacks pose significant challenges to load frequency control in power systems. This paper presents a data‐driven load frequency control strategy for interconnected multi‐area power systems subject to denial‐of‐service attacks that disrupt both feedforward and feedback communication channels.
Yuhao Chen, Huarong Zhao, Masaki Ogura, Yi Gao, Li Peng   +4 more
wiley   +1 more source

A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants

Energy Science &Engineering, EarlyView.
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei, S. Ayoub Mirtavousi, Mohammadreza Dehghan   +2 more
wiley   +1 more source

Design of HAWT Rotor for Non‐Uniform Inflow Conditions: A Theoretical and Experimental Approach for Shear Flow

Energy Science &Engineering, EarlyView.
This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Dorota Woźniak, Piotr Strzelczyk, Taeseong Kim   +2 more
wiley   +1 more source

UK Forecasts of Annual GDP: Their Accuracy and the Information Categories Underlying Their Revisions

Journal of Forecasting, EarlyView.
ABSTRACT Policy makers are concerned with the accuracy of GDP forecasts and want to understand the reasons for the revision of forecasts. We study these issues by examining forecasts of annual UK GDP growth by a panel of agents, published monthly by HM Treasury. We focus on two main issues: the developing accuracy of the group‐mean forecast as horizons
Nigel Meade, Ciaran Driver
wiley   +1 more source

Cut-Elimination Theorem for the Logic of Constant Domains

Cut-Elimination Theorem for the Logic of Constant Domains
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer, Kristofer Månsson, Pär Sjölander, Gazi Salah Uddin   +3 more
wiley   +1 more source

The “Zhang Xuefeng Effect”: Information Intervention and the College Admission Problem in China

International Studies of Economics, EarlyView.
ABSTRACT Information regarding the quality of colleges and labor‐market prospects of majors plays an important role in parents' and students' school‐choice decisions, particularly when these decisions are crucially relevant to the students' long‐run career choices and life earnings.
Yutong Huo, Yun Wang
wiley   +1 more source

Impact of Geography on Institutions in Agricultural and Nomadic Societies

International Studies of Economics, EarlyView.
ABSTRACT How geography affects the choice of institutions is studied in a theoretical model. In this model, nations are located around a circle. Rulers compete through choosing tax rates, the level of military spending, and the degree of formality of institutions. Geographic condition is captured by population density.
Haiwen Zhou
wiley   +1 more source