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  • Open Access

    ARTICLE

    Hybrid Effects of Thermal and Concentration Convection on Peristaltic Flow of Fourth Grade Nanofluids in an Inclined Tapered Channel: Applications of Double-Diffusivity

    Safia Akram*, Alia Razia

    CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 901-922, 2021, DOI:10.32604/cmes.2021.014469 - 24 May 2021

    Abstract This article brings into focus the hybrid effects of thermal and concentration convection on peristaltic pumping of fourth grade nanofluids in an inclined tapered channel. First, the brief mathematical modelling of the fourth grade nanofluids is provided along with thermal and concentration convection. The Lubrication method is used to simplify the partial differential equations which are tremendously nonlinear. Further, analytical technique is applied to solve the differential equations that are strongly nonlinear in nature, and exact solutions of temperature, volume fraction of nanoparticles, and concentration are studied. Numerical and graphical findings manifest the influence of More >

  • Open Access

    ARTICLE

    Flight Delay Prediction Using Gradient Boosting Machine Learning Classifiers

    Mingdao Lu, Peng Wei, Mingshu He*, Yinglei Teng

    Journal of Quantum Computing, Vol.3, No.1, pp. 1-12, 2021, DOI:10.32604/jqc.2021.016315 - 20 May 2021

    Abstract With the increasing of civil aviation business, flight delay has become a key problem in civil aviation field in recent years, which has brought a considerable economic impact to airlines and related industries. The delay prediction of specific flights is very important for airlines’ plan, airport resource allocation, insurance company strategy and personal arrangement. The influence factors of flight delay have high complexity and non-linear relationship. The different situations of various regions and airports, and even the deviation of airport or airline arrangement all have certain influence on flight delay, which makes the prediction more… More >

  • Open Access

    ARTICLE

    Association between Active School Travel and Depressive Symptoms among 51,702 Adolescents in 26 Low- and Middle-Income Countries

    Shuan Liu1, Sitong Chen2, Xiaohong Zhu3, Brendon Stubbs4, Qian Yu5, Mark D. Griffiths6, Can Jiao7, Aiguo Chen8, Md Mahbub Hossain9, Zsolt Demetrovics10,11, Albert S. Yeung12, Jinming Li5, Xingyu Zhang5, Liye Zou5,*

    International Journal of Mental Health Promotion, Vol.23, No.2, pp. 141-153, 2021, DOI:10.32604/IJMHP.2021.016274 - 19 May 2021

    Abstract Little is known about the role of active school travel (AST) on mental health among adolescents. Thus, this study aimed to explore the AST-depression association among adolescents aged 12–15 years from 26 low- and middleincome countries (LMICs). Data from the Global School-based Student Health Survey were analyzed in 51,702 adolescents [mean (SD) age 13.8 (1.0) years; 49.3% boys). Both depressive symptoms and AST were assessed by a single question self-reported measure, respectively. Participants who reported having 5 days or above were considered as AST. Multivariable logistic regression analysis (accounting for sampling weights) was performed while… More >

  • Open Access

    ARTICLE

    NVM Storage in IoT Devices: Opportunities and Challenges

    Yang Liu1, Shan Zhao1,*, Wenhan Chen1, Xuran Ge1, Fang Liu2, Shuo Li3, Nong Xiao1

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 393-409, 2021, DOI:10.32604/csse.2021.017224 - 19 May 2021

    Abstract Edge storage stores the data directly at the data collection point, and does not need to transmit the collected data to the storage central server through the network. It is a critical technology that supports applications such as edge computing and 5G network applications, with lower network communication overhead, lower interaction delay and lower bandwidth cost. However, with the explosion of data and higher real-time requirements, the traditional Internet of Things (IoT) storage architecture cannot meet the requirements of low latency and large capacity. Non-volatile memory (NVM) presents new possibilities regarding this aspect. This paper More >

  • Open Access

    ARTICLE

    UAV Clustering Scheme for FANETs using Elbow-Hybrid Metaheuristic Techniques

    Kundan Kumar*, Rajeev Arya

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 321-337, 2021, DOI:10.32604/csse.2021.016748 - 19 May 2021

    Abstract Great strides have been made to realistically deploy multiple Unmanned Aerial Vehicles (UAVs) within the commercial domain, which demands a proper coordination and reliable communication among the UAVs. UAVs suffer from limited time of flight. Conventional techniques suffer from high delay, low throughput, and early node death due to aerial topology of UAV networks. To deal with these issues, this paper proposes a UAV parameter vector which considers node energy, channel state information and mobility of UAVs. By intelligently estimating the proposed parameter, the state of UAV can be predicted closely. Accordingly, efficient clustering may… More >

  • Open Access

    ARTICLE

    Exploration on the Load Balancing Technique for Platform of Internet of Things

    Donglei Lu1, Dongjie Zhu2,*, Yundong Sun3, Haiwen Du3, Xiaofang Li4, Rongning Qu4, Yansong Wang3, Ning Cao1, Helen Min Zhou5

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 339-350, 2021, DOI:10.32604/csse.2021.016683 - 19 May 2021

    Abstract In recent years, the Internet of Things technology has developed rapidly, and smart Internet of Things devices have also been widely popularized. A large amount of data is generated every moment. Now we are in the era of big data in the Internet of Things. The rapid growth of massive data has brought great challenges to storage technology, which cannot be well coped with by traditional storage technology. The demand for massive data storage has given birth to cloud storage technology. Load balancing technology plays an important role in improving the performance and resource utilization… More >

  • Open Access

    ARTICLE

    Speech Enhancement via Residual Dense Generative Adversarial Network

    Lin Zhou1,*, Qiuyue Zhong1, Tianyi Wang1, Siyuan Lu1, Hongmei Hu2

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 279-289, 2021, DOI:10.32604/csse.2021.016524 - 19 May 2021

    Abstract Generative adversarial networks (GANs) are paid more attention to dealing with the end-to-end speech enhancement in recent years. Various GAN-based enhancement methods are presented to improve the quality of reconstructed speech. However, the performance of these GAN-based methods is worse than those of masking-based methods. To tackle this problem, we propose speech enhancement method with a residual dense generative adversarial network (RDGAN) contributing to map the log-power spectrum (LPS) of degraded speech to the clean one. In detail, a residual dense block (RDB) architecture is designed to better estimate the LPS of clean speech, which… More >

  • Open Access

    ARTICLE

    External Incentive Mechanism Research on Knowledge Cooperation-Sharing in the Chinese Creative Industry Cluster

    Changchun Gao1, Shiyu Liu1,*, Chenhui Yu1, Peng Guo2

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 365-379, 2021, DOI:10.32604/csse.2021.016506 - 19 May 2021

    Abstract The creative industry is a knowledge-based industry, but it is difficult and complex to create knowledge for enterprises. The principle of cooperation-sharing posits that companies’ limited resources prohibit them from gaining a competitive advantage in all business areas. Therefore, cooperation-sharing can help businesses overcome this hurdle. Cooperation-sharing expedites economic development, breaks the barrier of independent knowledge creation, and enhances resource utilization. However, the effectiveness and stability of knowledge cooperation-sharing are key problems facing governments and other regulators. This study can help regulators promote honesty in enterprise cooperation-sharing. Based on the hypothesis of bounded rationality, the… More >

  • Open Access

    ARTICLE

    Improved Attribute Chain Sampling Plan for Darna Distribution

    Harsh Tripathi1, Amer Ibrahim Al-Omari2, Mahendra Saha1, Ayed R. A. Alanzi3,*

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 381-392, 2021, DOI:10.32604/csse.2021.015624 - 19 May 2021

    Abstract Recently, the Darna distribution has been introduced as a new lifetime distribution. The two-parameter Darna distribution represents is a mixture of two well-known gamma and exponential distributions. A manufacturer or an engineer of products conducts life testing to examine whether the quality level of products meets the customer’s requirements, such as reliability or the minimum lifetime. In this article, an attribute modified chain sampling inspection plan based on the time truncated life test is proposed for items whose lifetime follows the Darna distribution. The plan parameters, including the sample size, the acceptance number, and the… More >

  • Open Access

    ARTICLE

    A Research on the Flow Characteristics of a Splitter-Based Water Cooling System for Computer Boards

    Yukun Lv, Quanzhi Ge*, Zhuang Wei, Shuang Yang

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.4, pp. 833-844, 2021, DOI:10.32604/fdmp.2021.015082 - 17 May 2021

    Abstract The splitter is an important component of water-based cooling systems used to extract heat from computer boards. In the present study, the flow characteristics of a 16-splitter structure were numerically simulated and compared with experimental results to verify the reliability of the numerical simulation method. Accordingly, the concept of splitter structural coefficients was proposed. Based on the results of this study, we recommend a selection range of 5 ≤ k ≤ 6 for the structure factor k of the splitter; after optimization, the maximum deviation of the splitter outlet flow was reduced from the original More >

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