Zhiqi Liu¹, Shihui Zheng¹, Xingyu Yan¹, Ping Pan^1,2, Licheng Wang^1,3,*

Journal of Quantum Computing, Vol.5, pp. 41-54, 2023, DOI:10.32604/jqc.2023.045572

Abstract The hardness of the integer factoring problem (IFP) plays a core role in the security of RSA-like cryptosystems that are widely used today. Besides Shor’s quantum algorithm that can solve IFP within polynomial time, quantum annealing algorithms (QAA) also manifest certain advantages in factoring integers. In experimental aspects, the reported integers that were successfully factored by using the D-wave QAA platform are much larger than those being factored by using Shor-like quantum algorithms. In this paper, we report some interesting observations about the effects of QAA for solving IFP. More specifically, we introduce a metric, called T-factor that measures the… More >

Cong Liu¹, Mohd Nazri Abdul Rahman^1,*, Nur Eva²

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1161-1172, 2023, DOI:10.32604/ijmhp.2023.030324

Abstract The implementation of China’s three-child fertility policy has led to a notable increase in multiple-child families. Notably, firstborn children experience a significant transition from being an only child to a non-only child. This transition is associated with problematic behaviors, affecting their social adjustment, sibling relationships, and family harmony. Although several studies have examined the relationship between parent-child attachment and problem behaviors exhibited by firstborn children during family transitions, the findings have been inconsistent. Hence, a meta-analytic study was undertaken to elucidate the inconsistencies in this relationship and explore the moderating factors that may contribute to these discrepancies. Using a systematic… More >

Seyed Milad Mirabedin^*

Frontiers in Heat and Mass Transfer, Vol.7, pp. 1-6, 2016, DOI:10.5098/hmt.7.17

Abstract This work focuses on numerical validation of natural convection heat transfer of TiO2-water nanofluids in a cylindrical container using COMSOL. The main aim of this study is to examine different available approaches to calculate effective thermal conductivity and compare them with experimental data available in the literature. Simulation results show that for considered mixture, average Nusselt number decreases by increasing Rayleigh number and particle volume fraction. It has been found that only one model was able to represent similar trends for given particle volume fractions, compared to experimental results. More >

Dave Martin^a,b,† , Hicham Chaouki^a,b, Jean-Loup Robert^a, Donald Ziegler^c, Mario Fafard^a,b

Frontiers in Heat and Mass Transfer, Vol.7, pp. 1-9, 2016, DOI:10.5098/hmt.7.31

Abstract The two dimensional phase change problem was solved using the extended finite element method with a Lagrange formulation to apply the interface boundary condition. The Lagrange multiplier space is identical to the solution space and does not require stabilization. The solid-liquid interface velocity is determined by the jump in heat flux across the i nterface. Two methods to calculate the jump are used and c ompared. The first is based on an averaged temperature gradient near the interface. The second uses the Lagrange multiplier values to evaluate the jump. The Lagrange multiplier based approach was shown to be more robust… More >

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 >

Yang Liu^1,2,*, Zhiyuan Lin¹, Yuxi Zhang¹, Lin Jiang^1,*, Xuan Wang^1,3

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1713-1729, 2024, DOI:10.32604/cmes.2023.030468

Abstract Ethereum, currently the most widely utilized smart contracts platform, anchors the security of myriad smart contracts upon its own robustness. Its foundational peer-to-peer network facilitates a dependable node connection mechanism, whereas an efficient data-sharing protocol constitutes as the bedrock of Blockchain network security. In this paper, we propose NodeHunter, an Ethereum network detector implemented through the application of simulation technology, which is capable of aggregating all node records within the network and the interconnectedness between them. Utilizing this connection information, NodeHunter can procure more comprehensive insights for network status analysis compared to preceding detection methodologies. Throughout a three-month period of… More >

Yue Zhu, Tao Zhao^*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1139-1158, 2024, DOI:10.32604/cmes.2023.030178

Abstract The optimization of the rule base of a fuzzy logic system (FLS) based on evolutionary algorithm has achieved notable results. However, due to the diversity of the deep structure in the hierarchical fuzzy system (HFS) and the correlation of each sub fuzzy system, the uncertainty of the HFS's deep structure increases. For the HFS, a large number of studies mainly use fixed structures, which cannot be selected automatically. To solve this problem, this paper proposes a novel approach for constructing the incremental HFS. During system design, the deep structure and the rule base of the HFS are encoded separately. Subsequently,… More >

Hao Meng, Xinguo Yu^*, Bin He, Litian Huang, Liang Xue, Zongyou Qiu

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 541-555, 2023, DOI:10.32604/cmc.2023.041508

Abstract Solving arithmetic word problems that entail deep implicit relations is still a challenging problem. However, significant progress has been made in solving Arithmetic Word Problems (AWP) over the past six decades. This paper proposes to discover deep implicit relations by qualia inference to solve Arithmetic Word Problems entailing Deep Implicit Relations (DIR-AWP), such as entailing commonsense or subject-domain knowledge involved in the problem-solving process. This paper proposes to take three steps to solve DIR-AWPs, in which the first three steps are used to conduct the qualia inference process. The first step uses the prepared set of qualia-quantity models to identify… More >

Litian Huang, Xinguo Yu, Lei Niu^*, Zihan Feng

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 517-539, 2023, DOI:10.32604/cmc.2023.041206

Abstract Solving Algebraic Problems with Geometry Diagrams (APGDs) poses a significant challenge in artificial intelligence due to the complex and diverse geometric relations among geometric objects. Problems typically involve both textual descriptions and geometry diagrams, requiring a joint understanding of these modalities. Although considerable progress has been made in solving math word problems, research on solving APGDs still cannot discover implicit geometry knowledge for solving APGDs, which limits their ability to effectively solve problems. In this study, a systematic and modular three-phase scheme is proposed to design an algorithm for solving APGDs that involve textual and diagrammatic information. The three-phase scheme… More >

Na Dong^1,*, Xiao Yang², Nasser Yousefi^3,4,*

Energy Engineering, Vol.120, No.11, pp. 2565-2583, 2023, DOI:10.32604/ee.2023.029862

Abstract This paper proposes a modified golden jackal optimization (IGJO) algorithm to solve the OCL (which stands for optimal cooling load) problem to minimize energy consumption. In this algorithm, many tools have been developed, such as numerical visualization, local field method, competitive selection method, and iterative strategy. The IGJO algorithm is used to improve the research capabilities of the algorithm in terms of global tuning and rotation speed. In order to fully utilize the effectiveness of the proposed algorithm, three famous examples of OCL problems in basic ventilation systems were studied and compared with some previously published works. The results show… More >