Jiajun Cui¹, Fabian Reuter², Zhigang Zuo^1,*, Shuhong Liu^1,*, Claus-Dieter Ohl^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012155

Abstract When cavitation bubbles collapse near a boundary, they can cause severe cavitation erosion to the boundary, which is a dangerous threat to the rapidly rotating turbines. Prior research has established that for single bubbles a possible mechanism is energy focusing of shockwaves during the non-spherical collapse of cavitation bubbles [1]. This however needs a particularly symmetric environment. A possible approach to reduce the shockwave focusing and thus the erosion would be through suitable modification of the boundary. In a first approach to modify this phenomenon, we introduce the symmetry breaking structure on the boundary in the shape of a slender bar to explore the effect More >

Cheng Wang^1,2,*, Zhuowei Zheng¹

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1563-1592, 2024, DOI:10.32604/cmes.2023.031103 - 17 November 2023

Abstract The advent of Industry 4.0 has compelled businesses to adopt digital approaches that combine software to enhance production efficiency. In this rapidly evolving market, software development is an ongoing process that must be tailored to meet the dynamic needs of enterprises. However, internal research and development can be prohibitively expensive, driving many enterprises to outsource software development and upgrades to external service providers. This paper presents a software upgrade outsourcing model for enterprises and service providers that accounts for the impact of market fluctuations on software adaptability. To mitigate the risk of adverse selection due… More >

Peter Watson¹, Sebastien Vincent Bonnieu², Marcello Lappa^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 1-29, 2024, DOI:10.32604/fdmp.2023.029280 - 08 November 2023

Abstract We present a short retrospective review of the existing literature about the dynamics of (dry) granular matter under the effect of vibrations. The main objective is the development of an integrated resource where vital information about past findings and recent discoveries is provided in a single treatment. Special attention is paid to those works where successful synthetic routes to as-yet unknown phenomena were identified. Such landmark results are analyzed, while smoothly blending them with a history of the field and introducing possible categorizations of the prevalent dynamics. Although no classification is perfect, and it is… More >

Liang Zhang^1,*, Zigang He¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09713

Abstract The different elastic properties of tension and compression are obvious in many engineering materials, especially new materials. Materials with this characteristic, such as graphite, ceramics, and composite materials, are called bi-modulus materials. Their mechanical properties such as Young’s modulus have randomness in tension and compression due to different porosity, microstructure, etc. To calibrate the mechanical properties of bi-modulus materials by bridging FEM simulation results and scarce experimental data, the paper presents a data-fusion computational method. The FEM simulation is implemented based on Parametric Variational Principle (PVP), while the experimental result is obtained by Digital Image… More >

Xueling Fan^1,*, Pin Lu¹, Xiaochao Jin¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09919

Abstract Ni-based single crystal superalloys have been favored in the high-temperature service zones of aeroengine and gas turbine due to its excellent mechanical properties at high temperature. It is very significant to construct a constitutive model that can accurately capture the mechanical response of Ni-based single crystals for simulation analysis. In this work, a forest dislocation density-based single crystal plasticity constitutive model was developed to capture the mechanical behavior of Ni-based single crystals, including the temperature dependent anomalous yield and tension/compression asymmetry. Firstly, thermally activated cross-slip mechanism was introduced into the hardening model to describe the… More >

Bareen Shamsaldeen Tahir¹, Zainab Salih Ageed², Sheren Sadiq Hasan³, Subhi R. M. Zeebaree^4,*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4009-4024, 2023, DOI:10.32604/cmc.2023.037433 - 31 March 2023

Abstract Traditional indoor human activity recognition (HAR) is a time-series data classification problem and needs feature extraction. Presently, considerable attention has been given to the domain of HAR due to the enormous amount of its real-time uses in real-time applications, namely surveillance by authorities, biometric user identification, and health monitoring of older people. The extensive usage of the Internet of Things (IoT) and wearable sensor devices has made the topic of HAR a vital subject in ubiquitous and mobile computing. The more commonly utilized inference and problem-solving technique in the HAR system have recently been deep… More >

Aisha Fayomi¹, Christophe Chesneau^2,*, Farrukh Jamal³, Ali Algarni¹

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2371-2403, 2023, DOI:10.32604/cmes.2023.027000 - 09 March 2023

Abstract In this article, we highlight a new three-parameter heavy-tailed lifetime distribution that aims to extend the modeling possibilities of the Lomax distribution. It is called the extended Lomax distribution. The considered distribution naturally appears as the distribution of a transformation of a random variable following the logweighted power distribution recently introduced for percentage or proportion data analysis purposes. As a result, its cumulative distribution has the same functional basis as that of the Lomax distribution, but with a novel special logarithmic term depending on several parameters. The modulation of this logarithmic term reveals new types… More >

Zoran Gligorić, Miloš Gligorić^*, Igor Miljanović, Suzana Lutovac, Aleksandar Milutinović

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 955-979, 2023, DOI:10.32604/cmes.2023.025021 - 05 January 2023

Abstract Information about the relative importance of each criterion or the weights of criteria can have a significant influence on the ultimate rank of alternatives. Accordingly, assessing the weights of criteria is a very important task in solving multi-criteria decision-making problems. Three methods are commonly used for assessing the weights of criteria: objective, subjective, and integrated methods. In this study, an objective approach is proposed to assess the weights of criteria, called SPC method (Symmetry Point of Criterion). This point enriches the criterion so that it is balanced and easy to implement in the process of… More > Graphic Abstract

Junhua Xi¹, Kouquan Zheng¹, Yifan Zhong², Longjiang Li³, Zhiping Cai^1,*, Jinjing Chen⁴

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3099-3111, 2023, DOI:10.32604/iasc.2023.030298 - 17 August 2022

Abstract In geometry processing, symmetry research benefits from global geometric features of complete shapes, but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resolution, single viewpoint, and occlusion. Different from the existing works predicting symmetry from the complete shape, we propose a learning approach for symmetry prediction based on a single RGB-D image. Instead of directly predicting the symmetry from incomplete shapes, our method consists of two modules, i.e., the multi-modal feature fusion module and the detection-by-reconstruction module. Firstly, we build a channel-transformer network (CTN) to extract More >

Xuan Liu^1,2,3, Xiangyun Yang^1,2, Pengchong Wang^1,2, Zhanjiang Li^1,2,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 843-854, 2022, DOI:10.32604/ijmhp.2022.021009 - 28 September 2022

Abstract Background: Obsessive-compulsive disorder (OCD) is a clinically heterogeneous condition without a conclusive subtype dimension. This study will focus on the meta-analysis of the clinical responses of OCD subtypes to cognitive behavioral therapy (CBT), which might clarify this issue. Methods: We performed a systematic search and a meta-analysis for the studies of OCD subtypes and the response to CBT in PubMed, ScienceDirect, Embase, Web of Science, and Scopus databases. The selective criteria were the OCD without significant medical or psychiatric co-morbidities and pre-and post-treatment changes in scores of OCD dimension. In addition, different subtypes of OCD… More >