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  • Open Access

    ARTICLE

    Screening of COVID-19 Patients Using Deep Learning and IoT Framework

    Harshit Kaushik1, Dilbag Singh2, Shailendra Tiwari3, Manjit Kaur2, Chang-Won Jeong4, Yunyoung Nam5,*, Muhammad Attique Khan6

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3459-3475, 2021, DOI:10.32604/cmc.2021.017337

    Abstract In March 2020, the World Health Organization declared the coronavirus disease (COVID-19) outbreak as a pandemic due to its uncontrolled global spread. Reverse transcription polymerase chain reaction is a laboratory test that is widely used for the diagnosis of this deadly disease. However, the limited availability of testing kits and qualified staff and the drastically increasing number of cases have hampered massive testing. To handle COVID-19 testing problems, we apply the Internet of Things and artificial intelligence to achieve self-adaptive, secure, and fast resource allocation, real-time tracking, remote screening, and patient monitoring. In addition, we… More >

  • Open Access

    ARTICLE

    Numerical Simulation on Oil Spilling of Submarine Pipeline and Its Evolution on Sea Surface

    Yi Wang*, Mohan Lin

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 885-914, 2020, DOI:10.32604/cmes.2020.09810

    Abstract Due to the interaction and corrosion of the seawater, submarine pipelines are easy to be broken to spill oil. The special environment of subsea restricts the technical development of pipeline maintenance. Therefore, the study on the oil spilling model of submarine pipeline is very important for predicting the movement and diffusion of spilled oil, so that oil spilling traces and relating strategies can be determined. This paper aims to establish an oil spilling model of a submarine pipeline, study the movement characteristics of spilled oil in seawater by numerical simulation, and determine the traces, diffusion… More >

  • Open Access

    ARTICLE

    Study on the Economic Insulation Thickness of the Buried Hot Oil Pipelines Based on Environment Factors

    Shihao Fan, Mingliang Chang*, Shouxi Wang, Qing Quan, Yong Wang, Dan Li

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 45-59, 2020, DOI:10.32604/cmes.2020.08973

    Abstract It is important to determine the insulation thickness in the design of the buried hot oil pipelines. The economic thickness of the insulation layer not only meets the needs of the project but also maximizes the investment and environmental benefits. However, as a significant evaluation, the environmental factors haven’t been considered in the previous study. Considering this factor, the mathematical model of economic insulation thickness of the buried hot oil pipelines is built in this paper, which is solved by the golden section method while considering the costs of investment, operation, environment, the time value… More >

  • Open Access

    ARTICLE

    Pipeline Scheduling Based on Constructive Interference in Strip Wireless Sensor Networks

    Xiangmao Chang1, 2, *, Xiaoxiang Xu1, Deliang Yang3

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 193-206, 2020, DOI:10.32604/cmc.2020.08183

    Abstract Strip Wireless Sensor Networks (SWSNs) have drawn much attention in many applications such as monitoring rivers, highways and coal mines. Packet delivery in SWSN usually requires a large number of multi-hop transmissions which leads to long transmission latency in low-duty-cycle SWSNs. Several pipeline scheduling schemes have been proposed to reduce latency. However, when communication links are unreliable, pipeline scheduling is prone to failure. In this paper, we propose a pipeline scheduling transmission protocol based on constructive interference. The protocol first divides the whole network into multiple partitions and uses a pipelined mechanism to allocate active More >

  • Open Access

    ARTICLE

    Building Information Modeling-Based Secondary Development System for 3D Modeling of Underground Pipelines

    Jun Chen1, *, Rao Hu2, Xianfeng Guo3, Feng Wu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 647-660, 2020, DOI:10.32604/cmes.2020.09180

    Abstract Underground pipeline networks constitute a major component of urban infrastructure, and thus, it is imperative to have an efficient mechanism to manage them. This study introduces a secondary development system to efficiently model underground pipeline networks, using the building information modeling (BIM)-based software Revit. The system comprises separate pipe point and tubulation models. Using a Revit application programming interface (API), the spatial position and attribute data of the pipe points are extracted from a pipeline database, and the corresponding tubulation data are extracted from a tubulation database. Using the Family class in Revit API, the More >

  • Open Access

    ARTICLE

    A Hybrid Encryption Algorithm for Security Enhancement of Wireless Sensor Networks: A Supervisory Approach to Pipelines

    Omid Mahdi Ebadati E.1, *, Farshad Eshghi2, Amin Zamani1

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 323-349, 2020, DOI:10.32604/cmes.2020.08079

    Abstract Transmission pipelines are vulnerable to various accidents and acts of vandalism. Therefore, a reliable monitoring system is needed to secure the transmission pipelines. A wireless sensor network is a wireless network consisting of distributed devices distributed at various distances, which monitors the physical and environmental conditions using sensors. Wireless sensor networks have many uses, including the built-in sensor on the outside of the pipeline or installed to support bridge structures, robotics, healthcare, environmental monitoring, etc. Wireless Sensor networks could be used to monitor the temperature, pressure, leak detection and sabotage of transmission lines. Wireless sensor… More >

  • Open Access

    ARTICLE

    Fiber Grating-Based Strain Sensor Array for Health Monitoring of Pipelines

    Hui Wang1, Songyou Li2, Lei Liang3,*, Gang Xu4,5, Bin Tu6

    Structural Durability & Health Monitoring, Vol.13, No.4, pp. 347-359, 2019, DOI:10.32604/sdhm.2019.05139

    Abstract Pipelines are one of the most important modern energy transportation methods, used especially for the transportation of certain dangerous energy media materials such as crude oil, natural gas, and chemical raw materials. New requirements have been put forward for the health monitoring and early security warning of pipelines because of the large-scale and complicated development trend of the pipe network system. To achieve an accurate assessment of the health conditions of pipeline infrastructure, obtaining as many precise operating parameters as possible, particularly at some critical parts of the pipeline, is necessary. Therefore, a novel type… More >

  • Open Access

    ARTICLE

    Fatigue Investigations on Steel Pipeline Containing 3D Coplanar and Non-Coplanar Cracks

    Zhongmin Xiao1, Wengang Zhang2, Yanmei Zhang1, *, Mu Fan3

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 267-280, 2020, DOI:10.32604/cmc.2020.06567

    Abstract Fluctuated loadings from currents, waves and sea ground motions are observed on offshore steel pipelines, and they will result in small cracks to propagate continuously and cause unexpected damage to offshore/geotechnical infrastructures. In spite of the availability of efficient techniques and high-power computers for solving crack problems, investigations on the fatigue life of offshore pipelines with 3D interacting cracks are still rarely found in open literature. In the current study, systematic numerical investigations are performed on fatigue crack growth behaviours of offshore pipelines containing coplanar and non-coplanar cracks. Extended finite element method (XFEM) is adopted More >

  • Open Access

    ARTICLE

    Pipeline Defect Detection Cloud System Using Role Encryption and Hybrid Information

    Ce Li1,2,*, Xinyu Shang2, Liguo Zhang3,4, Feng Yang1,2, Jing Zheng1,5, Xianlei Xu1

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1245-1260, 2019, DOI:10.32604/cmc.2019.06159

    Abstract Pipeline defect detection systems collect the videos from cameras of pipeline robots, however the systems always analyzed these videos by offline systems or humans to detect the defects of potential security threats. The existing systems tend to reach the limit in terms of data access anywhere, access security and video processing on cloud. There is in need of studying on a pipeline defect detection cloud system for automatic pipeline inspection. In this paper, we deploy the framework of a cloud based pipeline defect detection system, including the user management module, pipeline robot control module, system More >

  • Open Access

    ARTICLE

    Application of GB/T 19426-2004 “Safety Assessment for In-Service Pressure Vessels Containing Defects” to the Long-Distance Oil Pipeline

    Zihua Zhao1, Yu Zhou, Zheng Zhang, Qunpeng Zhong

    Structural Durability & Health Monitoring, Vol.6, No.2, pp. 101-112, 2010, DOI:10.3970/sdhm.2010.006.101

    Abstract Annex H"Safety assessment method for straight pressure pipeline with local thinning area" of "Safety assessment for in-service pressure vessels containing defects"(GB/T 19426-2004) is briefly introduced. The maximum allowable hanging (unsupported) length of straight pressure pipeline with a local thinning area (LTA) is then determined by using this assessment method. This is the first time that the assessment method has been applied to the long-distance oil pipeline. As a typical case, we have analyzed a length of straight pressure pipeline with LTA and gave the relationship of maximum allowable unsupported length, operating pressure and the depth More >

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