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  • Open Access

    ARTICLE

    Study on Performance Regulation and Mechanism of Quicklime and Biopolymer on Hemihydrate Phosphogypsum

    Zaibo Zhou1, Juanhong Liu1,2,3,*, Kun Luo1, Aixiang Wu1,3, Hongjiang Wang1,3

    Journal of Renewable Materials, Vol.10, No.2, pp. 373-384, 2022, DOI:10.32604/jrm.2022.016380

    Abstract In order to reduce the influence of impurities in hemihydrate phosphogypsum(HPG) on the environment and improve the workability of HPG, the effects of the content of quicklime and types of biopolymer (hydroxypropyl methylcellulose, xanthan gum, sodium polyacrylate(PAANa)) on the compressive strength, softening coefficient and ultrasonic velocity of HPG were evaluated. When the content of quicklime was 1.5% and the content of PAANa was 0.2%, HPG had the best mechanical properties and workability, its water retention rate can be increased by 5.8%, and unconfined compressive strength of 3 days increased by 10.3% and 7 days increased by 13.1%. Through the analysis… More > Graphic Abstract

    Study on Performance Regulation and Mechanism of Quicklime and Biopolymer on Hemihydrate Phosphogypsum

  • Open Access

    ARTICLE

    Process Evaluation, Tensile Properties and Fatigue Resistance of Chopped and Continuous Fiber Reinforced Thermoplastic Composites by 3D Printing

    Wei Chen1,2, Qiuju Zhang1,2,*, Han Cao1,2, Ye Yuan1,2

    Journal of Renewable Materials, Vol.10, No.2, pp. 329-358, 2022, DOI:10.32604/jrm.2022.016374

    Abstract The aim of this article was to comprehensively evaluate the manufacturing process, tensile properties and fatigue resistance of the chopped and continuous fiber reinforced thermoplastic composites (CFRTPCs) by 3D printing. The main results included: the common defects of the printed CFRTPCs contained redundant and accumulation defects, scratch and warping defects; the continuous fiber contributed to the dimensional stability and accuracy of width and thickness; associations between mass percentage of fiber reinforcement and the averages of elastic modulus, strain at break and ultimate tensile strength were approximately linear based on tensile test results; the fatigue resistance improved with the increasing fiber… More > Graphic Abstract

    Process Evaluation, Tensile Properties and Fatigue Resistance of Chopped and Continuous Fiber Reinforced Thermoplastic Composites by 3D Printing

  • Open Access

    ARTICLE

    Timing Error Aware Register Allocation in TS

    Sheng Xiao1,2,*, Jing He3, Xi Yang4, Heng Zhou1, Yujie Yuan1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 273-286, 2022, DOI:10.32604/csse.2022.019106

    Abstract Timing speculative (TS) architecture is promising for improving the energy efficiency of microprocessors. Error recovery units, designed for tolerating occasional timing errors, have been used to support a wider range of voltage scaling, therefore to achieve a better energy efficiency. More specifically, the timing error rate, influenced mainly by data forwarding, is the bottleneck for voltage down-scaling in TS processors. In this paper, a new Timing Error Aware Register Allocation method is proposed. First, we designed the Dependency aware Interference Graph (DIG) construction to get the information of Read after Write (RAW) in programs. To build the construction, we get… More >

  • Open Access

    ARTICLE

    Empirically Modeling Enterprise Architecture Using ArchiMate

    Qiang Zhi1,*, Zhengshu Zhou2,3

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 357-374, 2022, DOI:10.32604/csse.2022.018759

    Abstract Enterprise Architecture (EA) has evolved based on the practice of information systems architecture design and implementation. EA is a rigorous description of a structure, and the objectives of EA modeling not only include clarifying corporate strategies, visualizing business processes, and modeling information systems to manage resources but also include improving organizational structures, adjusting information strategies, and creating new business value. Therefore, EA models cover a wide scope that includes both IT and business architectures. Typically, EA modeling is the initial and most important analysis step for researchers, architects, and developers. ArchiMate is the dominant modeling language for EA and it… More >

  • Open Access

    ARTICLE

    Structured Graded Lung Rehabilitation for Children with Mechanical Ventilation

    Lei Ren1, Jing Hu2, Mei Li1,*, Ling Zhang2, Jinyue Xia3

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 139-150, 2022, DOI:10.32604/csse.2022.018640

    Abstract Lung rehabilitation is safe and feasible, and it has positive benefits in weaning the machine as soon as possible, shortening the time of hospitalization and improving the prognosis of children with mechanical ventilation. However, at present, the traditional medical concept is deep-rooted, and doctors' understanding of early rehabilitation is inadequate. It is necessary to make in-depth exploration in the relevant guidelines and expert consensus to formulate standardized early rehabilitation diagnosis and treatment procedures and standards for mechanically ventilated children. In the paper, a structured graded lung rehabilitation program is constructed for children with mechanical ventilation to improve their respiratory function,… More >

  • Open Access

    ARTICLE

    Implementing Effective Learning with Ubiquitous Learning Technology During Coronavirus Pandemic

    Hosam F. El-Sofany1,2,*, Samir A. El-Seoud3

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 389-404, 2022, DOI:10.32604/csse.2022.018619

    Abstract Ubiquitous computing supports U-learning to develop and implement a new educational environment that provides effective and interactive learning to students wherever they are. This study aims to present a qualitative evaluation for using U-learning instead of traditional education to avoid the spread of the Coronavirus pandemic. The authors introduce a UTAUT (Unified Theory of Acceptance and Use of Technology) model to assess the capability of the given factors that are expected to affect the learners’ intention and behavior for accepting the U-learning technology for full E-learning. The research study shows a promising impact on the use of U-learning apps for… More >

  • Open Access

    ARTICLE

    Vibration-Based Pattern Password Approach for Visually Impaired People

    Suliman A. Alsuhibany*

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 341-356, 2022, DOI:10.32604/csse.2022.018563

    Abstract The pattern password method is amongst the most attractive authentication methods and involves drawing a pattern; this is seen as easier than typing a password. However, since people with visual impairments have been increasing their usage of smart devices, this method is inaccessible for them as it requires them to select points on the touch screen. Therefore, this paper exploits the haptic technology by introducing a vibration-based pattern password approach in which the vibration feedback plays an important role. This approach allows visually impaired people to use a pattern password through two developed vibration feedback: pulses, which are counted by… More >

  • Open Access

    ARTICLE

    Smart Mina: LoRaWAN Technology for Smart Fire Detection Application for Hajj Pilgrimage

    Mohammad Al Mojamed*

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 259-272, 2022, DOI:10.32604/csse.2022.018458

    Abstract The Long-Range Wide Area Network (LoRaWAN) is one of the used communication systems that serve and enables the deployment of the Internet of Things (IoT), which occasionally transmit small size data. As part of the Low Power Wide Area Network (LPWAN), LoRaWAN is characterized by its ability for low power consumption. In addition, it is built to provide more extended coverage and higher capacity with minimum cost. In this paper, we investigate the feasibility and scalability of LoRaWAN for the Mina area using a realistic network model. Mina, known as the world’s largest tent city, is a valley located in… More >

  • Open Access

    ARTICLE

    A Particle Swarm Optimization Based Deep Learning Model for Vehicle Classification

    Adi Alhudhaif1,*, Ammar Saeed2, Talha Imran2, Muhammad Kamran3, Ahmed S. Alghamdi3, Ahmed O. Aseeri1, Shtwai Alsubai1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 223-235, 2022, DOI:10.32604/csse.2022.018430

    Abstract Image classification is a core field in the research area of image processing and computer vision in which vehicle classification is a critical domain. The purpose of vehicle categorization is to formulate a compact system to assist in real-world problems and applications such as security, traffic analysis, and self-driving and autonomous vehicles. The recent revolution in the field of machine learning and artificial intelligence has provided an immense amount of support for image processing related problems and has overtaken the conventional, and handcrafted means of solving image analysis problems. In this paper, a combination of pre-trained CNN GoogleNet and a… More >

  • Open Access

    ARTICLE

    A New Random Forest Applied to Heavy Metal Risk Assessment

    Ziyan Yu1, Cong Zhang1,*, Naixue Xiong2, Fang Chen1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 207-221, 2022, DOI:10.32604/csse.2022.018301

    Abstract As soil heavy metal pollution is increasing year by year, the risk assessment of soil heavy metal pollution is gradually gaining attention. Soil heavy metal datasets are usually imbalanced datasets in which most of the samples are safe samples that are not contaminated with heavy metals. Random Forest (RF) has strong generalization ability and is not easy to overfit. In this paper, we improve the Bagging algorithm and simple voting method of RF. A W-RF algorithm based on adaptive Bagging and weighted voting is proposed to improve the classification performance of RF on imbalanced datasets. Adaptive Bagging enables trees in… More >

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