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Search Results (8)
  • Open Access

    ARTICLE

    Optimization of Center of Gravity Position and Anti-Wave Plate Angle of Amphibious Unmanned Vehicle Based on Orthogonal Experimental Method

    Deyong Shang1,2, Xi Zhang1, Fengqi Liang1, Chunde Zhai1, Hang Yang1, Yanqi Niu1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 2027-2041, 2024, DOI:10.32604/cmes.2023.045750

    Abstract When the amphibious vehicle navigates in water, the angle of the anti-wave plate and the position of the center of gravity greatly influence the navigation characteristics. In the relevant research on reducing the navigation resistance of amphibious vehicles by adjusting the angle of the anti-wave plate, there is a lack of scientific selection of parameters and reasonable research of simulation results by using mathematical methods, and the influence of the center of gravity position on navigation characteristics is not considered at the same time. To study the influence of the combinations of the angle of the anti-wave plate and the… More >

  • Open Access

    ARTICLE

    A Spider Monkey Optimization Algorithm Combining Opposition-Based Learning and Orthogonal Experimental Design

    Weizhi Liao1, Xiaoyun Xia1,3, Xiaojun Jia1, Shigen Shen2,*, Helin Zhuang4,*, Xianchao Zhang1

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3297-3323, 2023, DOI:10.32604/cmc.2023.040967

    Abstract As a new bionic algorithm, Spider Monkey Optimization (SMO) has been widely used in various complex optimization problems in recent years. However, the new space exploration power of SMO is limited and the diversity of the population in SMO is not abundant. Thus, this paper focuses on how to reconstruct SMO to improve its performance, and a novel spider monkey optimization algorithm with opposition-based learning and orthogonal experimental design (SMO3) is developed. A position updating method based on the historical optimal domain and particle swarm for Local Leader Phase (LLP) and Global Leader Phase (GLP) is presented to improve the… More >

  • Open Access

    ARTICLE

    Simulation and Experimental Design of Load Adaptive Braking System on Two Wheeler

    Ramanjaneyulu Kolla*, Vinayagasundaram Ganesh, Rajendran Sakthivel, Arumugam Kumar Boobalasenthilraj

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 3115-3134, 2023, DOI:10.32604/csse.2023.033077

    Abstract The braking quality is considered the main execution of the adaptive control framework that impacts the vehicle safety and rides solace astoundingly notably the stopping distance. This research work aims to create a pattern and design of an electromechanically adjusted lever that multiplies the applied braking force depending on the inputs given by the sensors to reduce the stopping distance of the vehicle. It is carried out using two main parts of the two-wheeler vehicle: the first part deals with the detection of load acting on the vehicle and identifying the required braking force to be applied, and the second… More >

  • Open Access

    ARTICLE

    Decoding of Factorial Experimental Design Models Implemented in Production Process

    Borislav Savkovic1, Pavel Kovac1, Branislav Dudic2,3,*, Michal Gregus2

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1661-1675, 2022, DOI:10.32604/cmc.2022.021642

    Abstract The paper deals with factorial experimental design models decoding. For the ease of calculation of the experimental mathematical models, it is convenient first to code the independent variables. When selecting independent variables, it is necessary to take into account the range covered by each. A wide range of choices of different variables is presented in this paper. After calculating the regression model, its variables must be returned to their original values for the model to be easy recognized and represented. In the paper, the procedures of simple first order models, with interactions and with second order models, are presented, which… More >

  • Open Access

    ARTICLE

    Design Principles-Based Interactive Learning Tool for Solving Nonlinear Equations

    Ahad Alloqmani1, Omimah Alsaedi1, Nadia Bahatheg1, Reem Alnanih1,*, Lamiaa Elrefaei1,2

    Computer Systems Science and Engineering, Vol.40, No.3, pp. 1023-1042, 2022, DOI:10.32604/csse.2022.019704

    Abstract Interactive learning tools can facilitate the learning process and increase student engagement, especially tools such as computer programs that are designed for human-computer interaction. Thus, this paper aims to help students learn five different methods for solving nonlinear equations using an interactive learning tool designed with common principles such as feedback, visibility, affordance, consistency, and constraints. It also compares these methods by the number of iterations and time required to display the result. This study helps students learn these methods using interactive learning tools instead of relying on traditional teaching methods. The tool is implemented using the MATLAB app and… More >

  • Open Access

    ARTICLE

    Nanoparticles induce the biosynthesis and activity of the new possible therapeutic proteinase source, Talaromyces purpureogenus KJ584844

    SALLY NEGM1,2, MOHAMMAD EL-METWALLY3, WESAM ELDIN SABER4, SAHAR ABO-NEIMA5, MAHMOUD MOUSTAFA6,7,*, ATTALLA EL-KOTT6,8

    BIOCELL, Vol.45, No.1, pp. 119-127, 2021, DOI:10.32604/biocell.2021.012011

    Abstract The need for the bacterial proteinase is rapidly growing, urging to catch a lowcost medium for the microbial fermentation, nanoparticles can play a vital role in this respect. The proteinase of Talaromyces purpureogenus was produced on the tubers of Helianthus tuberosus that also operated as solid support for the fermentation process. The interface amongst nitrogen sources (NH4Cl and yeast extract) was investigated, applying the statistical modeling of central composite design under solid-state fermentation. The optimum medium for proteinase secretion was stimulated by 979.82 mg NH4Cl and 437.68 mg yeast extract per 100 g substrate, yielding 108.15 U/g tubers. Using Plackett-Burman… More >

  • Open Access

    ARTICLE

    Factorial Experiment Design in the Front Velocity Modeling Approach Applied to Chromatographic Separation of Glucose and Fructose

    A. Prieto-Moreno1, L.D.Tavares Câmara2, O. Llanes-Santiago1, A. J. Silva Neto2

    CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.6, pp. 441-462, 2015, DOI:10.3970/cmes.2015.106.441

    Abstract This work deals with a statistical approach to the uncertainty propagation analysis when estimating the kinetic mass transfer parameters used to model a chromatographic column in the Simulated Moving Bed. The chromatographic column modeling was performed using the new front velocity approach. The uncertainty propagation analysis of operational factors intervening in the chromatographic process to estimated parameters was made using the response surface methodology. The application of the factorial experimental design allowed us to establish those operational factors showing a greater influence on continuous chromatography. Besides, the chromatographic regions, where factors cause a greater output variation as well as their… More >

  • Open Access

    ARTICLE

    An Incremental Kriging Method for Sequential Optimal Experimental Design

    Yaohui Li1,2, Yizhong Wu1,3, Zhengdong Huang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.97, No.4, pp. 323-357, 2014, DOI:10.3970/cmes.2014.097.323

    Abstract Kriging model, which provides an exact interpolation and minimizes the error estimates, is a highly-precise global approximation model in contrast with other traditional response surfaces. Therefore, sequential exploratory experimental design (SEED) with Kriging model is crucial for globally approximating a complex black-box function. However, the more sampling points are, the longer time it would take to update the Kriging model during sequential exploratory design. This paper, therefore, proposes a new construction method called incremental Kriging method (IKM) to improve the constructing efficiency with just a little and controllable loss of accuracy for Kriging model. The IKM, based on the matrix… More >

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