Kyungsuk Jang¹, Gun Jin Yun^2,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1091-1120, 2021, DOI:10.32604/cmc.2020.012911 - 26 November 2020

Abstract This paper first proposes a new self-learning data-driven methodology that can develop the failure criteria of unknown anisotropic ductile materials from the minimal number of experimental tests. Establishing failure criteria of anisotropic ductile materials requires time-consuming tests and manual data evaluation. The proposed method can overcome such practical challenges. The methodology is formalized by combining four ideas: 1) The deep learning neural network (DLNN)-based material constitutive model, 2) Self-learning inverse finite element (SELIFE) simulation, 3) Algorithmic identification of failure points from the self-learned stress-strain curves and 4) Derivation of the failure criteria through symbolic regression More >

G. Mousa¹, Amr Almaddah², Ayman A. Aly^3,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2005-2023, 2021, DOI:10.32604/cmc.2020.012580 - 26 November 2020

Abstract About 10–20% of every country’s population is disable. There are at least 650 million people with a kind of disability worldwide. Assistance and support are perquisites for many handicap people for participating in society. Electric powered wheelchairs provide efficient mobility to motor impaired persons. In this paper a smart controller of a wheel chair mobile robot using Particle Swarm Optimization Proportional controller (PSO-P) was proposed where (PSO) algorithm was utilized to tune the proportional controller’s gains for each axis. Aiming to improve wheelchair tracking trajectory, a kinematic model of a robot with linear and angular velocities More >

K. V. Praveen¹, P. M. Joe Prathap², S. Dhanasekaran³, I. S. Hephzi Punithavathi⁴, P. Duraipandy⁵, Irina V. Pustokhina⁶, Denis A. Pustokhin^7,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1987-2003, 2021, DOI:10.32604/cmc.2020.012398 - 26 November 2020

Abstract Recent developments in information technology can be attributed to the development of smart cities which act as a key enabler for next-generation intelligent systems to improve security, reliability, and efficiency. The healthcare sector becomes advantageous and offers different ways to manage patient information in order to improve healthcare service quality. The futuristic sustainable computing solutions in e-healthcare applications depend upon Internet of Things (IoT) in cloud computing environment. The energy consumed during data communication from IoT devices to cloud server is significantly high and it needs to be reduced with the help of clustering techniques.… More >

Nazeer Muhammad¹, Rubab², Nargis Bibi³, Oh-Young Song⁴, Muhammad Attique Khan^5,*, Sajid Ali Khan⁶

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2199-2216, 2021, DOI:10.32604/cmc.2020.012257 - 26 November 2020

Abstract Agriculture plays an important role in the economy of all countries. However, plant diseases may badly affect the quality of food, production, and ultimately the economy. For plant disease detection and management, agriculturalists spend a huge amount of money. However, the manual detection method of plant diseases is complicated and time-consuming. Consequently, automated systems for plant disease detection using machine learning (ML) approaches are proposed. However, most of the existing ML techniques of plants diseases recognition are based on handcrafted features and they rarely deal with huge amount of input data. To address the issue,… More >

Jing Hu¹, Ling Zhang¹, Jie Li^2,3,*, Qirun Wang⁴

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1551-1562, 2021, DOI:10.32604/cmc.2020.011829 - 26 November 2020

Abstract Cerebral palsy is a group of persistent central movement and postural developmental disorders, and restricted activity syndromes. This syndrome is caused by non-progressive brain damage to the developing fetus or infants. Cerebral palsy assessment can determine whether the brain is behind or abnormal. If it exists, early intervention and rehabilitation can be carried out as soon as possible to restore brain function to the greatest extent. The direct external manifestation of cerebral palsy is abnormal gait. Accurately determining the muscle strength-related reasons that cause this abnormal gait is the primary problem for treatment. In this… More >

Xiubing Gao^1,3, Jiejie Lv², Can Guo¹, Anlong Hu³, Xiaomao Wu³, Zengping Li^4,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 179-192, 2021, DOI:10.32604/phyton.2021.012968 - 20 November 2020

Abstract Hevea brasiliensis is one of the important economic trees with a great economic value for natural rubber production. Symbiosis between roots of H. brasiliensis and arbuscular mycorrhizal fungi (AMF) is widely recognized, and can provide a range of benefits for both of them. Hainan Island harbors is one of the largest plantations of H. brasiliensis in China, whereas the information regarding the diversity of AMF in the rhizosphere of H. brasiliensis on this island is scarce. The diversity of AMF species in the rhizosphere of rubber tree plantations in Hainan was investigated in this study. A total of 72… More >

A. A. Román-Calzoncit¹, F. Ramírez-Godina^2,*, J. Sánchez-Laureano², A. C. Flores-Gallegos¹, J. Espinoza-Velázquez², R. Rodríguez-Herrera^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 87-97, 2021, DOI:10.32604/phyton.2020.013880 - 20 November 2020

Abstract Polyembryony in maize (PEm) contributes to improving the nutritional properties of the grain, as well as an increase in yield, since it generates multiple plants per seed, opening the possibility of developing new varieties. However, it is unknown whether polyembryony in maize is the product of chromosomal abnormalities. Based on the above, in this research a cytogenetic study was proposed to verify if chromosomal abnormalities are related to the maize polyembryony. For a meiotic study, maize genotypes with variable proportions of polyembryony (PEm), from the UA-IMM-BAP population and non-PEm (monoembryonic) maize were used, while for… More >

Ramachandran Vinyagam¹, Pradeep Kumar², Kyung Eun Lee^1,3, Baojun Xu⁴, Muhammad Nurul Matin^5,*, Sang Gu Kang^1,3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 1-15, 2021, DOI:10.32604/phyton.2020.013388 - 20 November 2020

Abstract Medicinal herbs are well known and studied over the past millennia in most of the developing countries as a rational means of treatment against various diseases and disorders. Wedelolactone (WDL), a major bioactive compound in Eclipta prostrata L (Eclipta alba L), has been reported with potential benefits in human health against chronic diseases. However, a comprehensive study on WDL pharmacological benefits in various ailments, to the best of our knowledge, is not yet reported. Thereof, the present review provides the recent therapeutic applications in reference to biological and functional activities against major human chronic diseases, including cardiovascular, More >

Naveed Ul Mushtaq¹, Seerat Saleem¹, Aadil Rasool¹, Wasifa Hafiz Shah¹, Khalid Rehman Hakeem^2,*, Reiaz Ul Rehman^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 51-64, 2021, DOI:10.32604/phyton.2020.012163 - 20 November 2020

Abstract

Millets hold an immense assurance for food safety and nourishment amid ever-rising agricultural expenses and climate alterations. They are healthful, have supplementary wellbeing profit and need remarkably fewer effort overheads for crop growing. These characters draw attention to millets as a plant of preference for the humankind in the course of emergent alarm about environmental changes. Millets have the prospect to provide biomass and thus bioenergy, reduced carbon emission, carbon footprint and sustainable modern agriculture. As the rate of expansion in budding countries is increasing day by day, the scarcity of energy is a big panic

… More >

Xiang Xiao¹, Wei Zhao¹, Wei Wang¹, Wei Zhang¹, Xianbiao Bu², Lingbao Wang^2,*, Huashan Li²

Energy Engineering, Vol.118, No.1, pp. 89-101, 2021, DOI:10.32604/EE.2020.014016 - 17 November 2020

Abstract Solar energy powered organic Rankine cycle vapor compression cycle (ORC-VCC) is a good alternative to convert solar heat into a cooling effect. In this study, an ORC-VCC system driven by solar energy combined with electric motor is proposed to ensure smooth operation under the conditions that solar radiation is unstable and discontinuous, and an office building located in Guangzhou, China is selected as a case study. The results show that beam solar radiation and generation temperature have considerable effects on the system performance. There is an optimal generation temperature at which the system achieves optimum More >