Boheng Zhu¹, Huaxin Liu^1,*, Genjin Liu², Abasal Hussain², Xiaofei Zhang³, Xuezhi Wang¹

Journal of Renewable Materials, Vol.9, No.3, pp. 507-521, 2021, DOI:10.32604/jrm.2021.013580

Abstract The aim of this study is to improve the bond performance of basalt fiber reinforced polymer (BFRP) bars and recycled aggregate concrete (RAC) after being exposed to high temperatures. The bond behavior (failure modes, bond strength, bond stress-slip curves) between BFRP bars and hybrid fiber recycled aggregate concrete (HFRAC) after being exposed to temperatures ranging from 20°C up to 500°C was studied by using pull-out tests. The effect of high temperatures on mechanical properties of concrete (compressive strength, splitting tensile strength) and tensile strength of BFRP bars was also investigated. The bond strength decreased as the temperature increased and the… More >

Chanita Mano, Atthakorn Thongtha^*

Journal of Renewable Materials, Vol.9, No.3, pp. 495-506, 2021, DOI:10.32604/jrm.2021.013201

Abstract This work focused on characterizing and improving the thermal behavior of metal sheet roofing. To decrease the heat transfer from the roof into a building, we investigated the efficiency of four types of phase change materials, with different melting points: PCM І, PCM II, PCM III and PCM IV, when used in conjunction with a sheet metal roof. The exterior metal roofing surface temperature was held constant at 50°C, 60°C, 70°C and 80°C, using a thermal source (halogen lights) for 360 min to investigate and compare the thermal performance of the metal sheet roofing with and without phase change materials… More >

Khawla Essassi^1,2,*, Jean-Luc Rebiere¹, Abderrahim El Mahi¹, Mohamed Amine Ben Souf², Anas Bouguecha², Mohamed Haddar²

Journal of Renewable Materials, Vol.9, No.3, pp. 569-584, 2021, DOI:10.32604/jrm.2021.012253

Abstract Meta-sandwich composites with three-dimensional (3D) printed architecture structure are characterized by their high ability to absorb energy. In this paper, static and fatigue 3-point bending tests are implemented on a 3D printed sandwich composites with a re-entrant honeycomb core. The skins, core and whole sandwich are manufactured using the same bio-based material which is polylactic acid with flax fiber reinforcement. Experimental tests are performed in order to evaluate the durability and the ability of this material to dissipate energy. First, static tests are conducted to study the bending behaviour of the sandwich beams, as well as to determine the failure… More >

Omar A. Saraereh^*

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1121-1136, 2021, DOI:10.32604/cmc.2021.015066

Abstract Wireless communication is one of the rapidly-growing fields of the communication industry. This continuous growth motivates the antenna community to design new radiating structures to meet the needs of the market. The 5G wireless communication has received a lot of attention from both academia and industry and significant efforts have been made to improve different aspects, such as data rate, latency, mobility, reliability and QoS. Antenna design has received renewed attention in the last decade due to its potential applications in 5G, IoT, mmWave, and massive MIMO. This paper proposes a novel design of broadband antenna for 5G mmWave and… More >

Hanan Abdullah Mengash^1,*, Hanan A. Hosni Mahmoud^1,2

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1013-1032, 2021, DOI:10.32604/cmc.2021.014942

Abstract Strabismus is a medical condition that is defined as the lack of coordination between the eyes. When Strabismus is detected at an early age, the chances of curing it are higher. The methods used to detect strabismus and measure its degree of deviation are complex and time-consuming, and they always require the presence of a physician. In this paper, we present a method of detecting strabismus and measuring its degree of deviation using videos of the patient’s eye region under a cover test. Our method involves extracting features from a set of training videos (training corpora) and using them to… More >

Hyeong Won Yu¹, Muhammad Afzal², Maqbool Hussain², Hyungju Kwon³, Young Joo Park⁴, June Young Choi^1,*, Kyu Eun Lee⁵

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1241-1251, 2021, DOI:10.32604/cmc.2021.014910

Abstract Advances in technology are enabling gene mutations in papillary thyroid carcinoma (PTC) to be analyzed and clinical outcomes, such as recurrence, to be predicted. To date, the most common genetic mutation in PTC is in BRAF kinase (BRAF). However, whether mutations in other genes coincide with those in BRAF remains to be clarified. The aim of this study was to find mutations in other genes that co-exist with mutated BRAF, and to analyze their frequency and clinical relevance in PTC. Clinical and genetic data were collected from 213 PTC patients with a total of 36,572 mutation sites in 735 genes.… More >

Mohammed Alshehri^*

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 917-931, 2021, DOI:10.32604/cmc.2021.014848

Abstract Cyber Threat Intelligence (CTI) has gained massive attention to collect hidden knowledge for a better understanding of the various cyber-attacks and eventually paving the way for predicting the future of such attacks. The information exchange and collaborative sharing through different platforms have a significant contribution towards a global solution. While CTI and the information exchange can help a lot in focusing and prioritizing on the use of the large volume of complex information among different organizations, there exists a great challenge ineffective processing of large count of different Indicators of Threat (IoT) which appear regularly, and that can be solved… More >

Bin Yang^1,*, Lingyun Xiang², Xianyi Chen³, Wenjing Jia⁴

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 951-964, 2021, DOI:10.32604/cmc.2021.014839

Abstract Many chronic disease prediction methods have been proposed to predict or evaluate diabetes through artificial neural network. However, due to the complexity of the human body, there are still many challenges to face in that process. One of them is how to make the neural network prediction model continuously adapt and learn disease data of different patients, online. This paper presents a novel chronic disease prediction system based on an incremental deep neural network. The propensity of users suffering from chronic diseases can continuously be evaluated in an incremental manner. With time, the system can predict diabetes more and more… More >

Asadullah Shaikh^*, Mana Saleh AlReshan, Yousef Asiri, Adel Sulaiman, Hani Alshahrani

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 549-576, 2021, DOI:10.32604/cmc.2021.014813

Abstract In Wuhan, China, a novel Corona Virus (COVID-19) was detected in December 2019; it has changed the entire world and to date, the number of diagnosed cases is 38,756,289¹ and 1,095,216¹ people have died. This happened because a large number of people got affected and there is a lack of hospitals for COVID-19 patients. One of the precautionary measures for COVID-19 patients is isolation. To support this, there is an urgent need for a platform that makes treatment possible from a distance. Telemedicine systems have been drastically increasing in number and size over recent years. This increasing number intensifies the… More >

Debajit Datta¹, Lalit Garg^2,*, Kathiravan Srinivasan³, Atsushi Inoue⁴, G. Thippa Reddy³, M. Praveen Kumar Reddy³, K. Ramesh⁵, Nidal Nasser⁶

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 723-751, 2021, DOI:10.32604/cmc.2021.014802

Abstract The prodigious advancements in contemporary technologies have also brought in the situation of unprecedented cyber-attacks. Further, the pin-based security system is an inadequate mechanism for handling such a scenario. The reason is that hackers use multiple strategies for evading security systems and thereby gaining access to private data. This research proposes to deploy diverse approaches for authenticating and securing a connection amongst two devices/gadgets via sound, thereby disregarding the pins’ manual verification. Further, the results demonstrate that the proposed approaches outperform conventional pin-based authentication or QR authentication approaches. Firstly, a random signal is encrypted, and then it is transformed into… More >