Sandeep Kumar¹, MohdAnul Haq², Arpit Jain³, C. Andy Jason⁴, Nageswara Rao Moparthi¹, Nitin Mittal⁵, Zamil S. Alzamil^2,*

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1523-1540, 2023, DOI:10.32604/cmc.2023.028631 - 22 September 2022

Abstract Day by day, biometric-based systems play a vital role in our daily lives. This paper proposed an intelligent assistant intended to identify emotions via voice message. A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert actions. This proposed smart assistant aims to provide a support to the people through buzzer and light emitting diodes (LED) alert signals and it also keep track of the places like households, hospitals and remote areas, etc. The proposed approach is able to detect seven emotions: worry,… More >

Yuan Zhuang¹, Baobao Wang¹, Jianguo Sun^2,*, Haoyang Liu¹, Shuqi Yang¹, Qingan Da³

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1011-1024, 2023, DOI:10.32604/cmc.2023.028058 - 22 September 2022

Abstract Recently, security issues of smart contracts are arising great attention due to the enormous financial loss caused by vulnerability attacks. There is an increasing need to detect similar codes for hunting vulnerability with the increase of critical security issues in smart contracts. Binary similarity detection that quantitatively measures the given code diffing has been widely adopted to facilitate critical security analysis. However, due to the difference between common programs and smart contract, such as diversity of bytecode generation and highly code homogeneity, directly adopting existing graph matching and machine learning based techniques to smart contracts… More >

Zheng Zhang, Juan Chen^*, Qing Guo

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1529-1563, 2023, DOI:10.32604/cmes.2022.021451 - 20 September 2022

Abstract Automated Guided Vehicles (AGVs) have been introduced into various applications, such as automated warehouse systems, flexible manufacturing systems, and container terminal systems. However, few publications have outlined problems in need of attention in AGV applications comprehensively. In this paper, several key issues and essential models are presented. First, the advantages and disadvantages of centralized and decentralized AGVs systems were compared; second, warehouse layout and operation optimization were introduced, including some omitted areas, such as AGVs fleet size and electrical energy management; third, AGVs scheduling algorithms in chessboardlike environments were analyzed; fourth, the classical route-planning algorithms More > Graphic Abstract

Yongqiang Guo^1,2,*, Zhiyuan Lv³

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1855-1870, 2023, DOI:10.32604/cmes.2022.022211 - 20 September 2022

Abstract In uncertainty analysis and reliability-based multidisciplinary design and optimization (RBMDO) of engineering structures, the saddlepoint approximation (SA) method can be utilized to enhance the accuracy and efficiency of reliability evaluation. However, the random variables involved in SA should be easy to handle. Additionally, the corresponding saddlepoint equation should not be complicated. Both of them limit the application of SA for engineering problems. The moment method can construct an approximate cumulative distribution function of the performance function based on the first few statistical moments. However, the traditional moment matching method is not very accurate generally. In… More >

Guangheng Wu^1,#,*, Lu Rui^2,3,#, Xiang Lu⁴, Libo Han², Gan Lv¹, Xianyu Fu⁵, Jinxian Liu⁵, Nong Zhou³, Chuanhai Zhang¹

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 131-147, 2023, DOI:10.32604/phyton.2022.021919 - 06 September 2022

Abstract Gray blight disease (GBD) causes significant losses in tea production in China. Although genes and biological processes involved in resistance to fungal disease in tea plants have been identified, specific mechanisms of the GBD infection process remain unknown. In this study, morphological and multi-gene (TEF-TUB-ITS) phylogenetic characteristics were used to identify isolate CLBB1 of Pseudopestalotiopsis vietnamensis. Pathogenicity tests confirmed that isolate CLBB1 from tea leaves caused GBD in the susceptible tea cultivar Wuyi Rock (Camellia sinensis var. sinensis cv. Shuixian). Spores began to germinate 24 h after infection (hai), and after 48 h, elongated fungal hyphae formed from a single More >

Yan Wan^1,#, Yuan Liang^1,#, Xuxiao Gong^1,#, Jianyong Ouyang¹, Jingwei Huang², Xiaoyong Wu¹, Qi Wu¹, Changying Liu¹, Xueling Ye¹, Xiaoning Cao³, Gang Zhao¹, Liang Zou^1,*, Dabing Xiang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 35-54, 2023, DOI:10.32604/phyton.2022.021698 - 06 September 2022

Abstract Tartary buckwheat (Fagopyrum tataricum) is an important pseudocereal feed crop with medicinal and nutritional value. Drought is one of the main causes of reduced growth and yield in these plants. We investigated the growth, physiological, and metabolic responses of the widely promoted Tartary buckwheat variety Chuan Qiao No. 1 to polyethylene glycol (PEG)-mediated drought stress. Drought significantly decreased shoot length, shoot biomass and relative water content. Root length, malondialdehyde content, electrolyte leakage, activities of superoxide dismutase, peroxidase, catalase and amylase, and contents of soluble sugar, soluble protein and proline were increased by PEG-mediated drought. Untargeted metabolomics… More >

Hanhan Zhang¹, Zhihui Xu², Hong Qian¹, Xiaoyan Su^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1005-1019, 2023, DOI:10.32604/cmes.2022.021898 - 31 August 2022

Abstract Failure mode and effects analysis (FMEA) is a widely used safety assessment method in many fields. Z-number was previously applied in FMEA since it can take both possibility and reliability of information into consideration. However, the use of fuzzy weighted mean to integrate Z-valuations may have some drawbacks and is not suitable for some situations. In this paper, an improved method is proposed based on Z-numbers and the graded mean integration representation (GMIR) to deal with the uncertain information in FMEA. First, Z-numbers are constructed based on the evaluations of risk factors O, S, D for each More >

Umair Khan^1,2, Aurang Zaib³, Anuar Ishak¹, Iskandar Waini⁴, El-Sayed M. Sherif⁵, Dumitru Baleanu^6,7,8,*

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1371-1392, 2023, DOI:10.32604/cmes.2022.020911 - 31 August 2022

Abstract The utilization of solar energy is essential to all living things since the beginning of time. In addition to being a constant source of energy, solar energy (SE) can also be used to generate heat and electricity. Recent technology enables to convert the solar energy into electricity by using thermal solar heat. Solar energy is perhaps the most easily accessible and plentiful source of sustainable energy. Copper-based nanofluid has been considered as a method to improve solar collector performance by absorbing incoming solar energy directly. The goal of this research is to explore theoretically the… More >

Mohammad Sadegh Barkhordari¹, Danial Jahed Armaghani^2,*, Panagiotis G. Asteris³

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 835-855, 2023, DOI:10.32604/cmes.2022.020840 - 31 August 2022

Abstract The existing strategy for evaluating the damage condition of structures mostly focuses on feedback supplied by traditional visual methods, which may result in an unreliable damage characterization due to inspector subjectivity or insufficient level of expertise. As a result, a robust, reliable, and repeatable method of damage identification is required. Ensemble learning algorithms for identifying structural damage are evaluated in this article, which use deep convolutional neural networks, including simple averaging, integrated stacking, separate stacking, and hybrid weighted averaging ensemble and differential evolution (WAE-DE) ensemble models. Damage identification is carried out on three types of More >

Yukun Lv¹, Fan Yang^1,*, Zi’an Wei¹, Quan Lu²

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 379-397, 2023, DOI:10.32604/fdmp.2022.020373 - 29 August 2022

Abstract Leakage occurring in the tube sockets of the main steam thermometers can seriously threaten the safe operation of coal-fired power plants. Here, assuming a 300 MW unit as a relevant testbed, this problem is investigated numerically through solution of the equations of fluid-dynamics in synergy with the mathematical treatment of relevant statistics. The results indicate that the steam can form a large-scale spiral flow inside the tube socket and continuously scour the inner wall. In the model with the protective casing setting angle of 60°, the average tangential fluid velocity can reach up to 4.8 m/s,… More > Graphic Abstract