Haonan Li¹, Wei Wang², Quan Shen¹, Linquan Yao^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1277-1299, 2024, DOI:10.32604/cmes.2023.030508

Abstract The finite element method (FEM) plays a valuable role in computer modeling and is beneficial to the mechanical design of various structural parts. However, the elements produced by conventional FEM are easily inaccurate and unstable when applied. Therefore, developing new elements within the framework of the generalized variational principle is of great significance. In this paper, an 8-node plane hybrid finite element with 15 parameters (PH-Q8-) is developed for structural mechanics problems based on the Hellinger-Reissner variational principle. According to the design principle of Pian, 15 unknown parameters are adopted in the selection of stress modes to avoid the zero… More >

Jebran Khan¹, Kashif Ahmad², Kyung-Ah Sohn^1,3,*

Computer Systems Science and Engineering, Vol.47, No.3, pp. 2869-2894, 2023, DOI:10.32604/csse.2023.040159

Abstract In recent years, the growing popularity of social media platforms has led to several interesting natural language processing (NLP) applications. However, these social media-based NLP applications are subject to different types of adversarial attacks due to the vulnerabilities of machine learning (ML) and NLP techniques. This work presents a new low-level adversarial attack recipe inspired by textual variations in online social media communication. These variations are generated to convey the message using out-of-vocabulary words based on visual and phonetic similarities of characters and words in the shortest possible form. The intuition of the proposed scheme is to generate adversarial examples… More >

Limin Yin^#, Chang Liu^#, Zicong Liang, Dajun Liu, Guojun Feng, Zhishan Yan^*, Xiaoxu Yang^*

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 2981-2998, 2023, DOI:10.32604/phyton.2023.043151

Abstract The phenotype of a common bean plant is often closely related to its yield, and the yield of plants with reduced height or poor stem development during growth is low. Mutants serve as an essential gene resource for common bean breeding genetic research. Although model plants and crops are studied to comprehend the molecular mechanisms and genetic basis of plant phenotypes, the molecular mechanism of phenotypic variation in common beans remains underexplored. We here used the mutant ‘nts’ as material for transcriptome sequencing analysis. This mutant was obtained through ⁶⁰Co-γ irradiation from the common bean variety ‘A18’. Differentially expressed genes… More >

Yinghua Song^1,2, Hairong Lyu^1,2, Wei Zhang^1,2,*

Journal on Big Data, Vol.5, pp. 19-40, 2023, DOI:10.32604/jbd.2023.038249

Abstract A precise and timely forecast of short-term rail transit passenger flow provides data support for traffic management and operation, assisting rail operators in efficiently allocating resources and timely relieving pressure on passenger safety and operation. First, the passenger flow sequence models in the study are broken down using VMD for noise reduction. The objective environment features are then added to the characteristic factors that affect the passenger flow. The target station serves as an additional spatial feature and is mined concurrently using the KNN algorithm. It is shown that the hybrid model VMD-CLSMT has a higher prediction accuracy, by setting… More >

Song Wang^1,*, Fei Xie¹, Fengye Yang¹, Shengxuan Qiu¹, Chuang Liu², Tong Li³

Energy Engineering, Vol.120, No.10, pp. 2273-2285, 2023, DOI:10.32604/ee.2023.030107

Abstract Winding is one of the most important components in power transformers. Ensuring the health state of the winding is of great importance to the stable operation of the power system. To efficiently and accurately diagnose the disc space variation (DSV) fault degree of transformer winding, this paper presents a diagnostic method of winding fault based on the K-Nearest Neighbor (KNN) algorithm and the frequency response analysis (FRA) method. First, a laboratory winding model is used, and DSV faults with four different degrees are achieved by changing disc space of the discs in the winding. Then, a series of FRA tests… More > Graphic Abstract

Akkerbez Adilbekova^1,3,*, Shukhrat Marassulov¹, Bakhytzhan Nurkeev¹, Saken Kozhakhmetov², Aikorkem Badambekova³

Congenital Heart Disease, Vol.18, No.4, pp. 447-459, 2023, DOI:10.32604/chd.2023.028742

Abstract Objective: The aim is to study the trends in ventricular septal defect (VSD) mortality in children in Kazakhstan. Methods: The retrospective study was done for the period 2011–2020. Descriptive and analytical methods of epidemiology were applied. The universally acknowledged methodology used in sanitary statistics is used to calculate the extensive, crude, and age-specific mortality rates. Results: Kazakhstan is thought to be seeing an increase in mortality from VSDs in children. As a result, this study for the years 2011 to 2020 was conducted to retrospectively assess data from the central registration of the Bureau of National Statistics that was available… More > Graphic Abstract

Shoutao Li^1,2,*, Ruyi Qu¹, Yu Zhang¹, Dingli Yu³

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2809-2823, 2023, DOI:10.32604/iasc.2023.036999

Abstract Freezing of Gait (FOG) is the most common and disabling gait disorder in patients with Parkinson’s Disease (PD), which seriously affects the life quality and social function of patients. This paper proposes a FOG recognition method based on the Variational Mode Decomposition (VMD). Firstly, VMD instead of the traditional time-frequency analysis method to complete adaptive decomposition to the FOG signal. Secondly, to improve the accuracy and speed of the recognition algorithm, use the CART model as the base classifier and perform the feature dimension reduction. Then use the RUSBoost ensemble algorithm to solve the problem of unbalanced sample size and… More >

Yue Mei^1,*, Stéphane Avril²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09064

Abstract Characterizing nonhomogeneous variation in material properties of soft tissues has wide application in biomedical engineering and clinical medicine, including but not limited to cancerous disease detection and patient-specific surgical planning of cardiovascular diseases. With the advancement of imaging techniques, we are capable of acquiring not only the geometry of soft tissues in vivo, but also the associated deformation in the physiological state. With the obtained displacement data, the nonhomogeneous material property distribution of soft tissues can be determined by solving inverse problem in elasticity. In this presentation, we will present our recent work on identification of nonhomogeneous property distributions of… More >

Zongwu Niu¹, Yongxing Shen^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09037

Abstract The phase field approach has powerful abilities to simulate complicated fracture behaviors. However, the requirement of fine mesh near cracks leads to high computational cost, especially for dynamic cases in which the critical time step is restricted by the smallest element size according to the CFL stability condition. In this work, the asynchronous variational integrator (AVI) is used to alleviate the high computational cost in the case of dynamic brittle fracture. The AVI is derived from the discrete Hamilton’s principle with asynchronous temporal discretization, which allows each element in the mesh to have its own local time step that is… More >

Mingliang Jiang¹, Zhujiang Wang^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.08949

Abstract This work deals with the parameter identification of invariant-based hyperelastic materials using the virtual fields method (VFM). Combined with the full-field deformation data obtained from the digital image correlation (DIC), VFM has been utilized to characterize the mechanical properties of hyperelastic materials [1]. In the conventional formulation of the VFM, the calculation of the internal virtual work (IVW) needs to obtain the stress and conjugate virtual strains, which requires a lot of calculation and derivation work. In this paper, the VFM is reformulated by calculating the IVW through the variation of elastic energy, which is more concise and easier to… More >