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  • Open Access

    ARTICLE

    Human Personality Assessment Based on Gait Pattern Recognition Using Smartphone Sensors

    Kainat Ibrar1, Abdul Muiz Fayyaz1, Muhammad Attique Khan2, Majed Alhaisoni3, Usman Tariq4, Seob Jeon5, Yunyoung Nam6,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2351-2368, 2023, DOI:10.32604/csse.2023.036185 - 09 February 2023

    Abstract Human personality assessment using gait pattern recognition is one of the most recent and exciting research domains. Gait is a person’s identity that can reflect reliable information about his mood, emotions, and substantial personality traits under scrutiny. This research focuses on recognizing key personality traits, including neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness, in line with the big-five model of personality. We inferred personality traits based on the gait pattern recognition of individuals utilizing built-in smartphone sensors. For experimentation, we collected a novel dataset of 22 participants using an android application and further segmented More >

  • Open Access

    ARTICLE

    Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

    Yingxue Sang1, Fengxia Han1,2,*, Qing Liu1,2, Liang Qiao3, Shouxi Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1973-1998, 2023, DOI:10.32604/cmes.2023.026218 - 06 February 2023

    Abstract Rapid urbanization has led to a surge in the number of towering structures, and overturning is widely used because it can better accommodate the construction of shaped structures such as variable sections. The complexity of the construction process makes the construction risk have certain randomness, so this paper proposes a cloud-based coupled matter-element model to address the ambiguity and randomness in the safety risk assessment of overturning construction of towering structures. In the pretended model, the digital eigenvalues of the cloud model are used to replace the eigenvalues in the matter–element basic element, and calculate… More >

  • Open Access

    ARTICLE

    Home Automation-Based Health Assessment Along Gesture Recognition via Inertial Sensors

    Hammad Rustam1, Muhammad Muneeb1, Suliman A. Alsuhibany2, Yazeed Yasin Ghadi3, Tamara Al Shloul4, Ahmad Jalal1, Jeongmin Park5,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2331-2346, 2023, DOI:10.32604/cmc.2023.028712 - 06 February 2023

    Abstract Hand gesture recognition (HGR) is used in a numerous applications, including medical health-care, industrial purpose and sports detection. We have developed a real-time hand gesture recognition system using inertial sensors for the smart home application. Developing such a model facilitates the medical health field (elders or disabled ones). Home automation has also been proven to be a tremendous benefit for the elderly and disabled. Residents are admitted to smart homes for comfort, luxury, improved quality of life, and protection against intrusion and burglars. This paper proposes a novel system that uses principal component analysis, linear More >

  • Open Access

    ARTICLE

    Analysis of the Lost Circulation Problem

    Xingquan Zhang1, Renjun Xie1, Kuan Liu2,*, Yating Li2, Yuqiang Xu2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1721-1733, 2023, DOI:10.32604/fdmp.2023.025578 - 30 January 2023

    Abstract The well-known “lost circulation” problem refers to the uncontrolled flow of whole mud into a formation. In order to address the problem related to the paucity of available data, in the present study, a model is introduced for the lost-circulation risk sample profile of a drilled well. The model is built taking into account effective data (the Block L). Then, using a three-dimensional geological modeling software, relying on the variation function and sequential Gaussian simulation method, a three-dimensional block lost-circulation risk model is introduced able to provide relevant information for regional analyses. More >

  • Open Access

    ARTICLE

    Analysis of the Applicability of a Risk Quantitative Evaluation Method to High Temperature-Pressure Drilling Engineering

    Renjun Xie1, Xingquan Zhang1, Baolun He2,*, Ningyu Zheng2, Yuqiang Xu2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1385-1395, 2023, DOI:10.32604/fdmp.2023.025454 - 30 January 2023

    Abstract The optimization of methods for the quantitative evaluation of risks in drilling engineering is an effective means to ensure safety in situations where high temperature and high pressure blocks are considered. In such a context, this study analyzes the complexity of the drilled wells in such blocks. It is shown that phenomena such as well kick, loss, circulation, and sticking, are related to the imbalance of wellbore pressure. A method for risk quantitative evaluation is proposed accordingly. The method is used to evaluate the risk for 9 drilled wells. By comparing the predictions of the More > Graphic Abstract

    Analysis of the Applicability of a Risk Quantitative Evaluation Method to High Temperature-Pressure Drilling Engineering

  • Open Access

    ARTICLE

    Assessment of the Elastic-Wave Well Treatment in Oil-Bearing Clastic and Carbonate Reservoirs

    Vladimir Poplygin1,*, Chengzhi Qi2, Mikhail Guzev3, Evgenii Kozhevnikov1, Artem Kunitskikh1, Evgenii Riabokon1, Mikhail Turbakov1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1495-1505, 2023, DOI:10.32604/fdmp.2023.022335 - 30 January 2023

    Abstract A set of techniques for well treatment aimed to enhance oil recovery are considered in the present study. These are based on the application of elastic waves of various types (dilation-wave, vibro-wave, or other acoustically induced effects). In such a context, a new technique is proposed to predict the effectiveness of the elastic-wave well treatment using the rank distribution according to Zipf’s law. It is revealed that, when the results of elastic wave well treatments are analyzed, groups of wells exploiting various geological deposits can differ in terms of their slope coefficients and free members. More >

  • Open Access

    ARTICLE

    Assessment of Intracardiac and Extracardiac Deformities in Patients with Various Types of Pulmonary Atresia by Dual-Source Computed Tomography

    Wenlei Qian1,#, Xinzhu Zhou2,#, Ke Shi1, Li Jiang1, Xi Liu3, Liting Shen1, Zhigang Yang1,*

    Congenital Heart Disease, Vol.18, No.1, pp. 113-125, 2023, DOI:10.32604/chd.2023.023542 - 09 January 2023

    Abstract Background: Pulmonary atresia (PA) is a group of heterogeneous complex congenital heart disease. Only one study modality might not get a correct diagnosis. This study aims to investigate the diagnostic power of dual-source computed tomography (DSCT) for all intracardiac and extracardiac deformities in patients with PA compared with transthoracic echocardiography (TTE). Materials and Methods: This retrospective study enrolled 79 patients and divided them into three groups according to their main diagnosis. All associated malformations and clinical information, including treatments, were recorded and compared among the three groups. The diagnostic power of DSCT and TTE on all associated… More > Graphic Abstract

    Assessment of Intracardiac and Extracardiac Deformities in Patients with Various Types of Pulmonary Atresia by Dual-Source Computed Tomography

  • Open Access

    ARTICLE

    Ergonomic Reliability Assessment of VDT System for Operation Design Based on Improved BPNN and HCR under Special Circumstances

    Xin Liu1, Zheng Liu2,*, Zhilin Huang1, Mingyu Ling1, Kangchao Lin1, Pengqing Chen1, Xiaomin Huang1, Yujia Zhai1

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 685-707, 2023, DOI:10.32604/cmes.2023.025058 - 05 January 2023

    Abstract Ergonomic reliability plays a significant role in the safe operation of devices. With the spread of infectious diseases around the world, in work environments with high loads and high infection rates, medical staff work in a state of high self-protection. The use of visual display terminal (VDT) for medical equipment has undergone fundamental changes, and the traditional medical equipment human-machine interface design needs to be improved. After the completion of design and development, a VDT design enters the experimental testing stage, which has significant limitations for simulating the work of medical staff in the high-load… More >

  • Open Access

    ARTICLE

    A Novel Light Weight CNN Framework Integrated with Marine Predator Optimization for the Assessment of Tear Film-Lipid Layer Patterns

    Bejoy Abraham1, Jesna Mohan2, Linu Shine3, Sivakumar Ramachandran3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 87-106, 2023, DOI:10.32604/cmes.2023.023384 - 05 January 2023

    Abstract Tear film, the outermost layer of the eye, is a complex and dynamic structure responsible for tear production. The tear film lipid layer is a vital component of the tear film that provides a smooth optical surface for the cornea and wetting the ocular surface. Dry eye syndrome (DES) is a symptomatic disease caused by reduced tear production, poor tear quality, or excessive evaporation. Its diagnosis is a difficult task due to its multifactorial etiology. Out of several clinical tests available, the evaluation of the interference patterns of the tear film lipid layer forms a More >

  • Open Access

    ARTICLE

    Interpretive Structural Modeling Based Assessment and Optimization of Cloud with Internet of Things (CloudIoT) Issues Through Effective Scheduling

    Anju Shukla1, Mohammad Zubair Khan2, Shishir Kumar3,*, Abdulrahman Alahmadi2, Reem Ibrahim A. Altamimi2, Ahmed H. Alahmadi2

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2281-2297, 2023, DOI:10.32604/iasc.2023.031931 - 05 January 2023

    Abstract Integrated CloudIoT is an emerging field of study that integrates the Cloud and the Internet of Things (IoT) to make machines smarter and deal with real-world objects in a distributed manner. It collects data from various devices and analyses it to increase efficiency and productivity. Because Cloud and IoT are complementary technologies with distinct areas of application, integrating them is difficult. This paper identifies various CloudIoT issues and analyzes them to make a relational model. The Interpretive Structural Modeling (ISM) approach establishes the interrelationship among the problems identified. The issues are categorised based on driving… More >

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