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Modelling and Analysis Library Development for Helicopter Blade and Slender Wings [PDF]

INCAS Bulletin, 2020
In this study, we suggest a framework for optimal design of a composite wing structure with a high aspect ratio at the initial design stage. The optimization framework calculates allowances in the first ply failure, buckling failure and bearing-bypass ...
Sang Ho AHN, Jun Hwan JANG
doaj   +1 more source

SF-CNN: Signal Filtering Convolutional Neural Network for Precipitation Intensity Estimation

Sensors, 2022
Precipitation intensity estimation is a critical issue in the analysis of weather conditions. Most existing approaches focus on building complex models to extract rain streaks.
Chih-Wei Lin, Xiuping Huang, Mengxiang Lin, Sidi Hong   +3 more
doaj   +1 more source

A Coal Seam Thickness Prediction Model Based on CPSAC and WOA–LS-SVM: A Case Study on the ZJ Mine in the Huainan Coalfield

Energies, 2022
The precise prediction of coal seam thickness in operating mines is crucial for the construction of transparent mines. Geological borehole data or a small amount of seismic information is frequently used in traditional coal seam thickness prediction ...
Xiaobo Lin, Pingsong Zhang, Fanbin Meng, Chang Liu   +3 more
doaj   +1 more source

Hepatitis C Disease Detection Based on PCA–SVM Model

Hittite Journal of Science and Engineering, 2022
Hepatitis C is a liver disease caused by infection with the hepatitis C virus (HCV), which is transmitted through the blood. The disease can lead to diseases ranging from a mild form to serious lifelong illness.
Serdar Gündoğdu
doaj   +1 more source

Rare desynchronization events in power grids: on data implementation and dimensional reductions

Journal of Physics: Complexity, 2022
We discuss the frequency of desynchronization events in power grids for realistic data input. We focus on the role of time correlations in the fluctuating power production and propose a new method for implementing colored noise that reproduces non ...
Tim Ritmeester, Hildegard Meyer-Ortmanns
doaj   +1 more source

Analisis Performa Algoritma K-Nearest Neighbor dan Reduksi Dimensi Menggunakan Principal Component Analysis

Jambura Journal of Mathematics, 2023
This paper discusses the performance of the K-Nearest Neighbor Algorithm with dimension reduction using Principal Component Analysis (PCA) in the case of diabetes disease classification.
Aldila Dinanti, Joko Purwadi
doaj   +1 more source

Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis

Machines, 2023
Fault diagnosis methods are usually sensitive to outliers and it is difficult to obtain and balance global and local discriminant information, which leads to poor separation between classes of low-dimensional discriminant features.
Maoyan Zhang, Yanmin Zhu, Shuzhi Su, Xianjin Fang, Ting Wang   +4 more
doaj   +1 more source

Continuous and Discrete ZND Models with Aid of Eleven Instants for Complex QR Decomposition of Time-Varying Matrices

Mathematics, 2023
The problem of QR decomposition is considered one of the fundamental problems commonly encountered in both scientific research and engineering applications.
Jianrong Chen, Xiangui Kang, Yunong Zhang   +2 more
doaj   +1 more source

On the Dimensional Reduction Procedure [PDF]

, 2000
The issue related to the so-called dimensional reduction procedure is revisited within the Euclidean formalism. First, it is shown that for symmetric spaces, the local exact heat-kernel density is equal to the reduced one, once the harmonic sum has been ...
Balbinot, Balbinot, Balbinot, Balbinot, Balbinot, Binosi, Bousso, Bytsenko, Bytsenko, Camporesi, Chiba, Cognola, DeWitt, Dowker, Elizalde, Elizalde, Elizalde, Elizalde, Elizalde, Frolov, Gates, Guido Cognola, Hawking, Iellici, Kummer, Kummer, Kummer, Lombardo, Mukhanov, Nojiri, Nojiri, Nojiri, Nojiri, Nojiri, Parker, Ray, Seeley, Sergio Zerbini, Sutton   +38 more
core   +3 more sources

Dimensional Reduction for Conformal Blocks [PDF]

, 2016
We consider the dimensional reduction of a CFT, breaking multiplets of the d-dimensional conformal group SO(d+1,1) up into multiplets of SO(d,1). This leads to an expansion of d-dimensional conformal blocks in terms of blocks in d-1 dimensions.
Hogervorst, Matthijs
core   +2 more sources