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  • Open Access

    ARTICLE

    Position Sensorless Control System of Permanent Magnet Synchronous Linear Motor Based on Sliding Mode Observer with an Improved Phase-Locked Loop

    Jin Zhang1, Youliang Tang1, Feng Yu2,*

    Energy Engineering, Vol.118, No.4, pp. 1083-1094, 2021, DOI:10.32604/EE.2021.014482 - 31 May 2021

    Abstract In this paper, position sensorless control system of permanent magnet synchronous linear motor (PMSLM) based on sliding mode observer (SMO) with an improved phase-locked loop (PLL) is studied. Firstly, according to the mathematical model, a SMO is designed for sensorless control PMSLM drive. Thereafter, an improved PLL is proposed to tackle the imperfection of data overflow existed in the traditional PLL. The designed SMO incorporating with the improved PLL can be effectively suppress the pulsation of the estimated position and hence the chattering of the derived electrical angular velocity. At last, simulated and experimental results More >

  • Open Access

    REVIEW

    Morpho-Physiological, Biochemical and Molecular Adaptation of Millets to Abiotic Stresses: A Review

    Seerat Saleem1, Naveed Ul Mushtaq1, Wasifa Hafiz Shah1, Aadil Rasool1, Khalid Rehman Hakeem2,*, Reiaz Ul Rehman1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1363-1385, 2021, DOI:10.32604/phyton.2021.014826 - 27 May 2021

    Abstract Abiotic stresses such as drought, heat, cold, nutrient deficiency, excess salt and hazardous metals can hamper plantgrowth and development. Intensive agriculture of only a few major staple food crops that are sensitive and intolerant to environmental stresses has led to an agrarian crisis. On the other hand, nutritionally rich, gluten free and stress tolerant plants like millets are neglected and underutilized. Millets sustain about one-third of the world’s population and show exceptional tolerance to various abiotic and biotic stresses. Millets are C4 plants that are adapted to marginal and dry lands of arid and semi-arid… More >

  • Open Access

    ARTICLE

    Non-Contact Blood Pressure Measurement Based on IPPG

    Jiancheng Zou1, Shouyu Zhou1,*, Bailin Ge1, Xin Yang2

    Journal of New Media, Vol.3, No.2, pp. 41-51, 2021, DOI:10.32604/jnm.2021.017764 - 23 April 2021

    Abstract Blood pressure is an important physiological parameter to reflect human vital signs. In order to achieve the non-contact dynamic blood pressure acquisition based on ordinary optical camera, a theoretical understanding of the functional relationship between blood pressure and pulse wave signal conduction time. And through imaging photoelectric plethysmography (IPPG), pulse wave signal conduction time of forehead and hand was obtained with ordinary optical camera. First, the pulse wave conduction time was obtained by recording the video with an ordinary optical camera. Second, real-time blood pressure values were collected. Finally, based on the relationship between blood… More >

  • Open Access

    ARTICLE

    Bubble-Enriched Smoothed Finite Element Methods for Nearly-Incompressible Solids

    Changkye Lee1, Sundararajan Natarajan2, Jack S. Hale3, Zeike A. Taylor4, Jurng-Jae Yee1,*, Stéphane P. A. Bordas3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.2, pp. 411-436, 2021, DOI:10.32604/cmes.2021.014947 - 19 April 2021

    Abstract This work presents a locking-free smoothed finite element method (S-FEM) for the simulation of soft matter modelled by the equations of quasi-incompressible hyperelasticity. The proposed method overcomes well-known issues of standard finite element methods (FEM) in the incompressible limit: the over-estimation of stiffness and sensitivity to severely distorted meshes. The concepts of cell-based, edge-based and node-based S-FEMs are extended in this paper to three-dimensions. Additionally, a cubic bubble function is utilized to improve accuracy and stability. For the bubble function, an additional displacement degree of freedom is added at the centroid of the element. Several More >

  • Open Access

    ARTICLE

    Optimal Selection of Hybrid Renewable Energy System Using Multi-Criteria Decision-Making Algorithms

    Hegazy Rezk1,2, Irik Z. Mukhametzyanov3, Mujahed Al-Dhaifallah4,*, Hamdy A. Ziedan5

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2001-2027, 2021, DOI:10.32604/cmc.2021.015895 - 13 April 2021

    Abstract Several models of multi-criteria decision-making (MCDM) have identified the optimal alternative electrical energy sources to supply certain load in an isolated region in Al-Minya City, Egypt. The load demand consists of water pumping system with a water desalination unit. Various options containing three different power sources: only DG, PV-B system, and hybrid PV-DG-B, two different sizes of reverse osmosis (RO) units; RO-250 and RO-500, two strategies of energy management; load following (LF) and cycle charging (CC), and two sizes of DG; 5 and 10 kW were taken into account. Eight attributes, including operating cost, renewable… More >

  • Open Access

    ABSTRACT

    Global Analysis of Crisis in a Non-smooth Vibration Oscillator

    Shichao Ma1, 2, Xin Ning1, 2, Pengbi Cui1, 2, Lili Ren1, 2, Liang Wang3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 7-8, 2021, DOI:10.32604/icces.2021.08233

    Abstract Vibration isolation design is essential for the spacecraft capture operation in the on-orbit servicing missions. And contact impact is also inevitable in this process, which can be simplified as piece-smooth ordinary differential equations and generate abundant dynamics phenomena. Therefore, it is especially important to study the contact dynamics responses. And global behavior research can be visualized the characteristics of system. Aiming to this issue, the global dynamics of a single-degree-of-freedom non-smooth mechanical system in a vibration isolation experiment is studied by using advanced numerical procedure in this paper. For this non- smooth impact and friction… More >

  • Open Access

    ARTICLE

    Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

    S. M. Atiqure Rahman1,*, Hegazy Rezk2,3, Mohammad Ali Abdelkareem1,4, M. Enamul Hoque5, Tariq Mahbub6, Sheikh Khaleduzzaman Shah7, Ahmed M. Nassef2,8

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3143-3160, 2021, DOI:10.32604/cmc.2021.015048 - 01 March 2021

    Abstract The main goal of this research is to develop and apply a robust Artificial Neural Networks (ANNs) model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact dryer. Concentrated salt and sugar solutions were used as the osmotic solutions at 27C. Series of experiments were performed at various temperatures of 35C, 40C, and 55C for conduction heat input under vacuum ( −760 mm Hg) condition. Some experiments were also performed in a pure vacuum without heat addition. Dimensionless moisture content (DMC), effective moisture… More >

  • Open Access

    ARTICLE

    A Cell-Based Smoothed Finite Element Method for Modal Analysis of Non-Woven Fabrics

    Nguyễn T. Quyền1,*, N. Dourado2, A. J. P. Gomes3,4, F. B. N. Ferreira1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2765-2795, 2021, DOI:10.32604/cmc.2021.013164 - 01 March 2021

    Abstract The combination of a 4-node quadrilateral mixed interpolation of tensorial components element (MITC4) and the cell-based smoothed finite element method (CSFEM) was formulated and implemented in this work for the analysis of free vibration and unidirectional buckling of shell structures. This formulation was applied to numerous numerical examples of non-woven fabrics. As CSFEM schemes do not require coordinate transformation, spurious modes and numerical instabilities are prevented using bilinear quadrilateral element subdivided into two, three and four smoothing cells. An improvement of the original CSFEM formulation was made regarding the calculation of outward unit normal vectors,… More >

  • Open Access

    ARTICLE

    Simulation, Modeling, and Optimization of Intelligent Kidney Disease Predication Empowered with Computational Intelligence Approaches

    Abdul Hannan Khan1,2, Muhammad Adnan Khan3,*, Sagheer Abbas2, Shahan Yamin Siddiqui1,2, Muhammad Aanwar Saeed4, Majed Alfayad5, Nouh Sabri Elmitwally6,7

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1399-1412, 2021, DOI:10.32604/cmc.2021.012737 - 05 February 2021

    Abstract Artificial intelligence (AI) is expanding its roots in medical diagnostics. Various acute and chronic diseases can be identified accurately at the initial level by using AI methods to prevent the progression of health complications. Kidney diseases are producing a high impact on global health and medical practitioners are suggested that the diagnosis at earlier stages is one of the foremost approaches to avert chronic kidney disease and renal failure. High blood pressure, diabetes mellitus, and glomerulonephritis are the root causes of kidney disease. Therefore, the present study is proposed a set of multiple techniques such… More >

  • Open Access

    ARTICLE

    Improving the Detection Rate of Rarely Appearing Intrusions in Network-Based Intrusion Detection Systems

    Eunmok Yang1, Gyanendra Prasad Joshi2, Changho Seo3,*

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1647-1663, 2021, DOI:10.32604/cmc.2020.013210 - 26 November 2020

    Abstract In network-based intrusion detection practices, there are more regular instances than intrusion instances. Because there is always a statistical imbalance in the instances, it is difficult to train the intrusion detection system effectively. In this work, we compare intrusion detection performance by increasing the rarely appearing instances rather than by eliminating the frequently appearing duplicate instances. Our technique mitigates the statistical imbalance in these instances. We also carried out an experiment on the training model by increasing the instances, thereby increasing the attack instances step by step up to 13 levels. The experiments included not… More >

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