Home / Journals / CMC / Vol.66, No.1, 2021
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  • Open AccessOpen Access

    ARTICLE

    Towards Interference-Aware ZigBee Transmissions in Heterogeneous Wireless Networks

    Sangsoon Lim1, Sanghyun Seo2,*
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 751-765, 2021, DOI:10.32604/cmc.2020.013430 - 30 October 2020
    Abstract Cross-technology interference (CTI) from diverse wireless networks such as ZigBee, Bluetooth, and Wi-Fi has become a severe problem in the 2.4 GHz Industrial Scientific and Medical (ISM) band. Especially, low power and lossy networks are vulnerable to the signal interferences from other aggressive wireless networks when they perform low power operations to conserve the energy consumption. This paper presents CoSense, which accurately detects ZigBee signals with a reliable signal correlation scheme in the presence of the CTI. The key concept of CoSense is to reduce false wake-ups of low power listening (LPL) by identifying the… More >

  • Open AccessOpen Access

    ARTICLE

    Anomaly Classification Using Genetic Algorithm-Based Random Forest Model for Network Attack Detection

    Adel Assiri*
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 767-778, 2021, DOI:10.32604/cmc.2020.013813 - 30 October 2020
    Abstract Anomaly classification based on network traffic features is an important task to monitor and detect network intrusion attacks. Network-based intrusion detection systems (NIDSs) using machine learning (ML) methods are effective tools for protecting network infrastructures and services from unpredictable and unseen attacks. Among several ML methods, random forest (RF) is a robust method that can be used in ML-based network intrusion detection solutions. However, the minimum number of instances for each split and the number of trees in the forest are two key parameters of RF that can affect classification accuracy. Therefore, optimal parameter selection… More >

  • Open AccessOpen Access

    ARTICLE

    Privacy-Preserving Recommendation Based on Kernel Method in Cloud Computing

    Tao Li1, Qi Qian2, Yongjun Ren3,*, Yongzhen Ren4, Jinyue Xia5
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 779-791, 2021, DOI:10.32604/cmc.2020.010424 - 30 October 2020
    Abstract The application field of the Internet of Things (IoT) involves all aspects, and its application in the fields of industry, agriculture, environment, transportation, logistics, security and other infrastructure has effectively promoted the intelligent development of these aspects. Although the IoT has gradually grown in recent years, there are still many problems that need to be overcome in terms of technology, management, cost, policy, and security. We need to constantly weigh the benefits of trusting IoT products and the risk of leaking private data. To avoid the leakage and loss of various user data, this paper… More >

  • Open AccessOpen Access

    ARTICLE

    Hospital Bed Allocation Strategy Based on Queuing Theory during the COVID-19 Epidemic

    Jing Hu1, Gang Hu2,*, Jiantao Cai3, Lipeng Xu2, Qirun Wang4
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 793-803, 2021, DOI:10.32604/cmc.2020.011110 - 30 October 2020
    (This article belongs to the Special Issue: Artificial Intelligence and Information Technologies for COVID-19)
    Abstract During the current epidemic, it is necessary to ensure the rehabilitation treatment of children with serious illness. At the same time, however, it is essential to effectively prevent cross-infection and prevent infections from occurring within the hospital setting. To resolve this contradiction, the rehabilitation department of Nanjing Children’s Hospital adjusted its bed allocation based on the queuing model, with reference to the regional source and classification of the children’s conditions in the rehabilitation department ward. The original triple rooms were transformed into a double room to enable the treatment of severely sick children coming from More >

  • Open AccessOpen Access

    ARTICLE

    Nonlinear Time Series Analysis of Pathogenesis of COVID-19 Pandemic Spread in Saudi Arabia

    Sunil Kumar Sharma1, Shivam Bhardwaj2,*, Rashmi Bhardwaj3, Majed Alowaidi1
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 805-825, 2021, DOI:10.32604/cmc.2020.011937 - 30 October 2020
    (This article belongs to the Special Issue: Artificial Intelligence and Information Technologies for COVID-19)
    Abstract This article discusses short–term forecasting of the novel Corona Virus (COVID-19) data for infected and recovered cases using the ARIMA method for Saudi Arabia. The COVID-19 data was obtained from the Worldometer and MOH (Ministry of Health, Saudi Arabia). The data was analyzed for the period from March 2, 2020 (the first case reported) to June 15, 2020. Using ARIMA (2, 1, 0), we obtained the short forecast up to July 02, 2020. Several statistical parameters were tested for the goodness of fit to evaluate the forecasting methods. The results show that ARIMA (2, 1, More >

  • Open AccessOpen Access

    ARTICLE

    A Convolutional Neural Network Classifier VGG-19 Architecture for Lesion Detection and Grading in Diabetic Retinopathy Based on Deep Learning

    V. Sudha1,*, T. R. Ganeshbabu2
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 827-842, 2021, DOI:10.32604/cmc.2020.012008 - 30 October 2020
    Abstract Diabetic Retinopathy (DR) is a type of disease in eyes as a result of a diabetic condition that ends up damaging the retina, leading to blindness or loss of vision. Morphological and physiological retinal variations involving slowdown of blood flow in the retina, elevation of leukocyte cohesion, basement membrane dystrophy, and decline of pericyte cells, develop. As DR in its initial stage has no symptoms, early detection and automated diagnosis can prevent further visual damage. In this research, using a Deep Neural Network (DNN), segmentation methods are proposed to detect the retinal defects such as… More >

  • Open AccessOpen Access

    ARTICLE

    Qualitative Analysis of a Fractional Pandemic Spread Model of the Novel Coronavirus (COVID-19)

    Ali Yousef1,*, Fatma Bozkurt1,2, Thabet Abdeljawad3,4,5
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 843-869, 2021, DOI:10.32604/cmc.2020.012060 - 30 October 2020
    (This article belongs to the Special Issue: Mathematical aspects of the Coronavirus Disease 2019 (COVID-19): Analysis and Control)
    Abstract In this study, we classify the genera of COVID-19 and provide brief information about the root of the spread and the transmission from animal (natural host) to humans. We establish a model of fractional-order differential equations to discuss the spread of the infection from the natural host to the intermediate one, and from the intermediate one to the human host. At the same time, we focus on the potential spillover of bat-borne coronaviruses. We consider the local stability of the co-existing critical point of the model by using the Routh–Hurwitz Criteria. Moreover, we analyze the More >

  • Open AccessOpen Access

    ARTICLE

    Blockchain Data Privacy Access Control Based on Searchable Attribute Encryption

    Tao Feng1,*, Hongmei Pei1, Rong Ma1, Youliang Tian2, Xiaoqin Feng3
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 871-890, 2021, DOI:10.32604/cmc.2020.012146 - 30 October 2020
    Abstract Data privacy is important to the security of our society, and enabling authorized users to query this data efficiently is facing more challenge. Recently, blockchain has gained extensive attention with its prominent characteristics as public, distributed, decentration and chronological characteristics. However, the transaction information on the blockchain is open to all nodes, the transaction information update operation is even more transparent. And the leakage of transaction information will cause huge losses to the transaction party. In response to these problems, this paper combines hierarchical attribute encryption with linear secret sharing, and proposes a blockchain data… More >

  • Open AccessOpen Access

    ARTICLE

    Self-Management of Low Back Pain Using Neural Network

    Purushottam Sharma1, Mohammed Alshehri2,*, Richa Sharma1, Osama Alfarraj3
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 885-901, 2021, DOI:10.32604/cmc.2020.012251 - 30 October 2020
    Abstract Low back pain (LBP) is a morbid condition that has afflicted several citizens in Europe. It has negatively impacted the European economy due to several man-days lost, with bed rest and forced inactivity being the usual LBP care and management steps. Direct models, which incorporate various regression analyses, have been executed for the investigation of this premise due to the simplicity of translation. However, such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous factors.In this paper, we discuss a system that aids decision-making… More >

  • Open AccessOpen Access

    ARTICLE

    Robust Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Secured Free Scale Networks against Malicious Attacks

    Ganeshan Keerthana1,*, Panneerselvam Anandan2, Nandhagopal Nachimuthu3
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 903-917, 2021, DOI:10.32604/cmc.2020.012255 - 30 October 2020
    Abstract Due to the recent proliferation of cyber-attacks, highly robust wireless sensor networks (WSN) become a critical issue as they survive node failures. Scale-free WSN is essential because they endure random attacks effectively. But they are susceptible to malicious attacks, which mainly targets particular significant nodes. Therefore, the robustness of the network becomes important for ensuring the network security. This paper presents a Robust Hybrid Artificial Fish Swarm Simulated Annealing Optimization (RHAFS-SA) Algorithm. It is introduced for improving the robust nature of free scale networks over malicious attacks (MA) with no change in degree distribution. The More >

  • Open AccessOpen Access

    ARTICLE

    A New Logarithmic Family of Distributions: Properties and Applications

    Yanping Wang1,2, Zhengqiang Feng1, Almaspoor Zahra3,*
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 919-929, 2021, DOI:10.32604/cmc.2020.012261 - 30 October 2020
    Abstract In recent years, there has been an increased interest among the researchers to propose new families of distributions to provide the best fit to lifetime data with monotonic (increasing, decreasing, constant) and non-monotonic (unimodal, modified unimodal, bathtub) hazard functions. We further carry this area of research and propose a new family of lifetime distributions called a new logarithmic family via the T-X family approach. For the proposed family, explicit expressions for some mathematical properties along with the estimation of parameters through Maximum likelihood method are discussed. A sub-model, called a new logarithmic Weibull distribution is taken… More >

  • Open AccessOpen Access

    ARTICLE

    A Physical Layer Network Coding Based Tag Anti-Collision Algorithm for RFID System

    Cuixiang Wang1, Xing Shao1,2,3,*, Yifan Meng4, Jun Gao1
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 931-945, 2021, DOI:10.32604/cmc.2020.012267 - 30 October 2020
    Abstract In RFID (Radio Frequency IDentification) system, when multiple tags are in the operating range of one reader and send their information to the reader simultaneously, the signals of these tags are superimposed in the air, which results in a collision and leads to the degrading of tags identifying efficiency. To improve the multiple tags’ identifying efficiency due to collision, a physical layer network coding based binary search tree algorithm (PNBA) is proposed in this paper. PNBA pushes the conflicting signal information of multiple tags into a stack, which is discarded by the traditional anti-collision algorithm.… More >

  • Open AccessOpen Access

    ARTICLE

    Comparative Thermal Performance in SiO2–H2O and (MoS2–SiO2)–H2O Over a Curved Stretching Semi-Infinite Region: A Numerical Investigation

    Basharat Ullah1, Umar Khan1, Hafiz Abdul Wahab1, Ilyas Khan2,*, Dumitru Baleanu3,4,5, Kottakkaran Sooppy Nisar6
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 947-960, 2021, DOI:10.32604/cmc.2020.012430 - 30 October 2020
    Abstract The investigation of Thermal performance in nanofluids and hybrid nanofluids over a curved stretching infinite region strengthens its roots in engineering and industry. Therefore, the comparative thermal analysis in SiO2–H2O and (MoS2–SiO2)–H2O is conducted over curved stretching surface. The model is reduced in the dimensional version via similarity transformation and then treated numerically. The velocity and thermal behavior for both the fluids is decorated against the preeminent parameters. From the analysis, it is examined that the motion of under consideration fluids declines against Fr and λ. The thermal performance enhances for higher volumetric fraction and λ. More >

  • Open AccessOpen Access

    ARTICLE

    Soft Robotic Glove Controlling Using Brainwave Detection for Continuous Rehabilitation at Home

    Talit Jumphoo1, Monthippa Uthansakul1, Pumin Duangmanee1, Naeem Khan2, Peerapong Uthansakul1,*
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 961-976, 2021, DOI:10.32604/cmc.2020.012433 - 30 October 2020
    Abstract The patients with brain diseases (e.g., Stroke and Amyotrophic Lateral Sclerosis (ALS)) are often affected by the injury of motor cortex, which causes a muscular weakness. For this reason, they require rehabilitation with continuous physiotherapy as these diseases can be eased within the initial stages of the symptoms. So far, the popular control system for robot-assisted rehabilitation devices is only of two types which consist of passive and active devices. However, if there is a control system that can directly detect the motor functions, it will induce neuroplasticity to facilitate early motor recovery. In this… More >

  • Open AccessOpen Access

    ARTICLE

    Automatic and Robust Segmentation of Multiple Sclerosis Lesions with Convolutional Neural Networks

    H. M. Rehan Afzal1,2,*, Suhuai Luo1, Saadallah Ramadan1,2, Jeannette Lechner-Scott1,2,3, Mohammad Ruhul Amin3, Jiaming Li4, M. Kamran Afzal5
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 977-991, 2021, DOI:10.32604/cmc.2020.012448 - 30 October 2020
    (This article belongs to the Special Issue: Deep Learning Trends in Intelligent Systems)
    Abstract The diagnosis of multiple sclerosis (MS) is based on accurate detection of lesions on magnetic resonance imaging (MRI) which also provides ongoing essential information about the progression and status of the disease. Manual detection of lesions is very time consuming and lacks accuracy. Most of the lesions are difficult to detect manually, especially within the grey matter. This paper proposes a novel and fully automated convolution neural network (CNN) approach to segment lesions. The proposed system consists of two 2D patchwise CNNs which can segment lesions more accurately and robustly. The first CNN network is… More >

  • Open AccessOpen Access

    ARTICLE

    Optimizing Bidders Selection of Multi-Round Procurement Problem in Software Project Management Using Parallel Max-Min Ant System Algorithm

    Dac-Nhuong Le1,2,3,*, Gia Nhu Nguyen2,4, Harish Garg5, Quyet-Thang Huynh6, Trinh Ngoc Bao7, Nguyen Ngoc Tuan8
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 993-1010, 2021, DOI:10.32604/cmc.2020.012464 - 30 October 2020
    (This article belongs to the Special Issue: Emerging Computational Intelligence Technologies for Software Engineering: Paradigms, Principles and Applications)
    Abstract This paper presents a Game-theoretic optimization via Parallel MinMax Ant System (PMMAS) algorithm is used in practice to determine the Nash equilibrium value to resolve the confusion in choosing appropriate bidders of multi-round procurement problem in software project management. To this end, we introduce an approach that proposes: (i) A Game-theoretic model of multiround procurement problem (ii) A Nash equilibrium strategy corresponds to multi-round strategy bid (iii) An application of PSO for the determination of global Nash equilibrium. The balance point in Nash Equilibrium can help to maintain a sustainable structure not only in terms… More >

  • Open AccessOpen Access

    ARTICLE

    Peristaltic Flow of Dusty Nanofluids in Curved Channels

    Z. Z. Rashed1, Sameh E. Ahmed2,*
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1012-1026, 2021, DOI:10.32604/cmc.2020.012468 - 30 October 2020
    Abstract In this paper, numerical investigations for peristaltic motion of dusty nanofluids in a curved channel are performed. Two systems of partial differential equations are presented for the nanofluid and dusty phases and then the approximations of the long wave length and low Reynolds number are applied. The physical domain is transformed to a rectangular computational model using suitable grid transformations. The resulting systems are solved numerically using shooting method and mathematical forms for the pressure distributions are introduced. The controlling parameters in this study are the thermal buoyancy parameter Gr, the concentration buoyancy parameter Gc, the More >

  • Open AccessOpen Access

    ARTICLE

    MEIM: A Multi-Source Software Knowledge Entity Extraction Integration Model

    Wuqian Lv1, Zhifang Liao1,*, Shengzong Liu2, Yan Zhang3
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1027-1042, 2021, DOI:10.32604/cmc.2020.012478 - 30 October 2020
    Abstract Entity recognition and extraction are the foundations of knowledge graph construction. Entity data in the field of software engineering come from different platforms and communities, and have different formats. This paper divides multi-source software knowledge entities into unstructured data, semi-structured data and code data. For these different types of data, Bi-directional Long ShortTerm Memory (Bi-LSTM) with Conditional Random Field (CRF), template matching, and abstract syntax tree are used and integrated into a multi-source software knowledge entity extraction integration model (MEIM) to extract software entities. The model can be updated continuously based on user’s feedbacks to More >

  • Open AccessOpen Access

    ARTICLE

    An Adaptive Vision Navigation Algorithm in Agricultural IoT System for Smart Agricultural Robots

    Zhibin Zhang1,2,*, Ping Li1,3, Shuailing Zhao1,2, Zhimin Lv1,2, Fang Du1,2, Yajian An1,2
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1043-1056, 2021, DOI:10.32604/cmc.2020.012517 - 30 October 2020
    Abstract As the agricultural internet of things (IoT) technology has evolved, smart agricultural robots needs to have both flexibility and adaptability when moving in complex field environments. In this paper, we propose the concept of a vision-based navigation system for the agricultural IoT and a binocular vision navigation algorithm for smart agricultural robots, which can fuse the edge contour and the height information of rows of crop in images to extract the navigation parameters. First, the speeded-up robust feature (SURF) extracting and matching algorithm is used to obtain featuring point pairs from the green crop row… More >

  • Open AccessOpen Access

    ARTICLE

    A Novel Hybrid Intelligent Prediction Model for Valley Deformation: A Case Study in Xiluodu Reservoir Region, China

    Mengcheng Sun1,2, Weiya Xu1,2,*, Huanling Wang1,3, Qingxiang Meng1,2, Long Yan1,2, Wei-Chau Xie4
    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 1057-1074, 2021, DOI:10.32604/cmc.2020.012537 - 30 October 2020
    Abstract The narrowing deformation of reservoir valley during the initial operation period threatens the long-term safety of the dam, and an accurate prediction of valley deformation (VD) remains a challenging part of risk mitigation. In order to enhance the accuracy of VD prediction, a novel hybrid model combining Ensemble empirical mode decomposition based interval threshold denoising (EEMD-ITD), Differential evolutions—Shuffled frog leaping algorithm (DE-SFLA) and Least squares support vector machine (LSSVM) is proposed. The non-stationary VD series is firstly decomposed into several stationary subseries by EEMD; then, ITD is applied for redundant information denoising on special sub-series,… More >

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