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  • Open Access

    ARTICLE

    eQUEST Based Building Energy Modeling Analysis for Energy Efficiency of Buildings

    Saroj Lamichhane1, Roseline Mostafa2, Bhaskaran Gopalakrishnan2,*, Dayakar G. Devaru3

    Energy Engineering, Vol.121, No.10, pp. 2743-2767, 2024, DOI:10.32604/ee.2024.051035 - 11 September 2024

    Abstract Building energy performance is a function of numerous building parameters. In this study, sensitivity analysis on twenty parameters is performed to determine the top three parameters that have the most significant impact on the energy performance of buildings. Actual data from two fully operational commercial buildings were collected and used to develop a building energy model in the Quick Energy Simulation Tool (eQUEST). The model is calibrated using the Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method. The model satisfies the NMBE and CV(RMSE) criteria set by… More > Graphic Abstract

    eQUEST Based Building Energy Modeling Analysis for Energy Efficiency of Buildings

  • Open Access

    ARTICLE

    Ensemble Modeling for the Classification of Birth Data

    Fiaz Majeed1, Abdul Razzaq Ahmad Shakir1, Maqbool Ahmad2, Shahzada Khurram3, Muhammad Qaiser Saleem4, Muhammad Shafiq5,*, Jin-Ghoo Choi5, Habib Hamam6,7,8,9,10, Osama E. Sheta11

    Intelligent Automation & Soft Computing, Vol.39, No.4, pp. 765-781, 2024, DOI:10.32604/iasc.2023.034029 - 06 September 2024

    Abstract Machine learning (ML) and data mining are used in various fields such as data analysis, prediction, image processing and especially in healthcare. Researchers in the past decade have focused on applying ML and data mining to generate conclusions from historical data in order to improve healthcare systems by making predictions about the results. Using ML algorithms, researchers have developed applications for decision support, analyzed clinical aspects, extracted informative information from historical data, predicted the outcomes and categorized diseases which help physicians make better decisions. It is observed that there is a huge difference between women… More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

    Debiao Meng1,*, Abílio Manuel Pinho de Jesus2, Zeng Meng3

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 1-5, 2024, DOI:10.32604/cmes.2024.056319 - 20 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Machine Learning-Guided Intelligent Modeling with Its Industrial Applications

    Xiong Luo1,*, Yongqiang Cheng2, Zhifang Liao3

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 7-11, 2024, DOI:10.32604/cmes.2024.056214 - 20 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Updated Lagrangian Particle Hydrodynamics (ULPH) Modeling of Natural Convection Problems

    Junsong Xiong1, Zhen Wang2, Shaofan Li3, Xin Lai1,*, Lisheng Liu2,*, Xiang Liu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 151-169, 2024, DOI:10.32604/cmes.2024.053078 - 20 August 2024

    Abstract Natural convection is a heat transfer mechanism driven by temperature or density differences, leading to fluid motion without external influence. It occurs in various natural and engineering phenomena, influencing heat transfer, climate, and fluid mixing in industrial processes. This work aims to use the Updated Lagrangian Particle Hydrodynamics (ULPH) theory to address natural convection problems. The Navier-Stokes equation is discretized using second-order nonlocal differential operators, allowing a direct solution of the Laplace operator for temperature in the energy equation. Various numerical simulations, including cases such as natural convection in square cavities and two concentric cylinders, More >

  • Open Access

    ARTICLE

    An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach for Modeling Fluid-Structure Interaction Problem

    Zhen Wang1, Junsong Xiong1, Shaofan Li2, Xin Lai1,3,*, Xiang Liu3, Lisheng Liu1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 491-523, 2024, DOI:10.32604/cmes.2024.052923 - 20 August 2024

    Abstract A fluid-structure interaction approach is proposed in this paper based on Non-Ordinary State-Based Peridynamics (NOSB-PD) and Updated Lagrangian Particle Hydrodynamics (ULPH) to simulate the fluid-structure interaction problem with large geometric deformation and material failure and solve the fluid-structure interaction problem of Newtonian fluid. In the coupled framework, the NOSB-PD theory describes the deformation and fracture of the solid material structure. ULPH is applied to describe the flow of Newtonian fluids due to its advantages in computational accuracy. The framework utilizes the advantages of NOSB-PD theory for solving discontinuous problems and ULPH theory for solving fluid… More >

  • Open Access

    ARTICLE

    A Novel Framework to Construct S-Box Quantum Circuits Using System Modeling: Application to 4-Bit S-Boxes

    Yongjin Jeon, Seungjun Baek#, Jongsung Kim*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 545-561, 2024, DOI:10.32604/cmes.2024.052374 - 20 August 2024

    Abstract Quantum computers accelerate many algorithms based on the superposition principle of quantum mechanics. The Grover algorithm provides significant performance to malicious users attacking symmetric key systems. Since the performance of attacks using quantum computers depends on the efficiency of the quantum circuit of the encryption algorithms, research research on the implementation of quantum circuits is essential. This paper presents a new framework to construct quantum circuits of substitution boxes (S-boxes) using system modeling. We model the quantum circuits of S-boxes using two layers: Toffoli and linear layers. We generate vector spaces based on the values… More >

  • Open Access

    ARTICLE

    Representation of HRTF Based on Common-Pole/Zero Modeling and Principal Component Analysis

    Wei Chen1,*, Xiaogang Wei2,*, Hongxu Zhang2, Wenpeng He2

    Journal on Artificial Intelligence, Vol.6, pp. 225-240, 2024, DOI:10.32604/jai.2024.052366 - 16 August 2024

    Abstract The Head-Related Transfer Function (HRTF) describes the effects of sound reflection and scattering caused by the environment and the human body when sound signals are transmitted from a source to the human ear. It contains a significant amount of auditory cue information used for sound localization. Consequently, HRTF renders 3D audio accurately in numerous immersive multimedia applications. Because HRTF is high-dimensional, complex, and nonlinear, it is a relatively large and intricate dataset, typically consisting of hundreds of thousands of samples. Storing HRTF requires a significant amount of storage space in practical applications. Based on this, More >

  • Open Access

    REVIEW

    Microphysiological systems for modeling gut-organ interaction

    JONG HWAN SUNG*

    BIOCELL, Vol.48, No.8, pp. 1145-1153, 2024, DOI:10.32604/biocell.2024.050365 - 02 August 2024

    Abstract The gut is a digestive organ that absorbs nutrients but also plays a vital role in immune response and defense against external compounds. The complex interaction between the gut microbiota and other organs including the immune system of the host has been known in various contexts, yielding the notion of ‘axes’ between the gut and other organs. While the presence of various gut-organ axes has been reported, the lack of adequate in vitro model systems for studying this interaction has restricted a deeper insight into these phenomena. Recently developed microphysiological systems (MPS), also known as organ-on-a-chip, More >

  • Open Access

    ARTICLE

    Exploring Capillary Fringe Flow: Quasilinear Modeling with Kirchhoff Transforms and Gardner Model

    Rachid Karra1,*, Abdelatif Maslouhi2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1611-1631, 2024, DOI:10.32604/fdmp.2024.048447 - 23 July 2024

    Abstract Recent studies have underscored the significance of the capillary fringe in hydrological and biochemical processes. Moreover, its role in shallow waters is expected to be considerable. Traditionally, the study of groundwater flow has centered on unsaturated-saturated zones, often overlooking the impact of the capillary fringe. In this study, we introduce a steady-state two-dimensional model that integrates the capillary fringe into a 2-D numerical solution. Our novel approach employs the potential form of the Richards equation, facilitating the determination of boundaries, pressures, and velocities across different ground surface zones. We utilized a two-dimensional Freefem++ finite element model… More >

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