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  • Open Access

    Time-Efficient Blockchain Framework for Improved Data Transmission in Autonomous Systems

    Abdulrahman M. Abdulghani, Wilbur L. Walters, Khalid H. Abed*

    Journal of Blockchain and Intelligent Computing, Vol.1, pp. 1-13, 2023, DOI:10.32604/jbic.2023.041340

    Abstract Blockchain technology is increasingly used to design trustworthy and reliable platforms for sharing information in a plethora of industries. It is a decentralized system that acts as an immutable record for storing data. It has the potential to disrupt a range of fields that rely on data, including autonomous systems like Unmanned Aerial Vehicles (UAVs). In this paper, we propose a framework based on blockchain and distributed ledger technology to improve transmission time and provide a secured and trusted method for UAVs to transfer data to the consumer efficiently while maintaining data reliability. The results More >

  • Open Access

    ARTICLE

    Predicting Reliability and Remaining Useful Life of Rolling Bearings Based on Optimized Neural Networks

    Tiantian Liang*, Runze Wang, Xuxiu Zhang, Yingdong Wang, Jianxiong Yang

    Structural Durability & Health Monitoring, Vol.17, No.5, pp. 433-455, 2023, DOI:10.32604/sdhm.2023.029331

    Abstract In this study, an optimized long short-term memory (LSTM) network is proposed to predict the reliability and remaining useful life (RUL) of rolling bearings based on an improved whale-optimized algorithm (IWOA). The multi-domain features are extracted to construct the feature dataset because the single-domain features are difficult to characterize the performance degeneration of the rolling bearing. To provide covariates for reliability assessment, a kernel principal component analysis is used to reduce the dimensionality of the features. A Weibull distribution proportional hazard model (WPHM) is used for the reliability assessment of rolling bearing, and a beluga… More > Graphic Abstract

    Predicting Reliability and Remaining Useful Life of Rolling Bearings Based on Optimized Neural Networks

  • Open Access

    ARTICLE

    A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students

    Ting Wang1, Markus Gerber2, Fabian Herold3, Joseph Bardeen4, Sebastian Ludyga2, Alyx Taylor5, Arthur F. Kramer6,7, Liye Zou1,*

    International Journal of Mental Health Promotion, Vol.25, No.9, pp. 995-1008, 2023, DOI:10.32604/ijmhp.2023.029804

    Abstract Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior. However, concerning the Affective Exercise Experiences (AFFEXX) questionnaire, it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity (refers to any bodily movement produced by skeletal muscles that requires energy expenditure). Furthermore, there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity (PA). In… More >

  • Open Access

    ARTICLE

    Reliability Analysis of HEE Parameters via Progressive Type-II Censoring with Applications

    Heba S. Mohammed1, Mazen Nassar2,3, Refah Alotaibi1, Ahmed Elshahhat4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2761-2793, 2023, DOI:10.32604/cmes.2023.028826

    Abstract A new extended exponential lifetime model called Harris extended-exponential (HEE) distribution for data modelling with increasing and decreasing hazard rate shapes has been considered. In the reliability context, researchers prefer to use censoring plans to collect data in order to achieve a compromise between total test time and/or test sample size. So, this study considers both maximum likelihood and Bayesian estimates of the Harris extended-exponential distribution parameters and some of its reliability indices using a progressive Type-II censoring strategy. Under the premise of independent gamma priors, the Bayesian estimation is created using the squared-error and… More >

  • Open Access

    ARTICLE

    Billiards Optimization with Modified Deep Learning for Fault Detection in Wireless Sensor Network

    Yousif Sufyan Jghef1, Mohammed Jasim Mohammed Jasim2, Subhi R. M. Zeebaree3,*, Rizgar R. Zebari4

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1651-1664, 2023, DOI:10.32604/csse.2023.037449

    Abstract Wireless Sensor Networks (WSNs) gather data in physical environments, which is some type. These ubiquitous sensors face several challenges responsible for corrupting them (mostly sensor failure and intrusions in external agents). WSNs were disposed to error, and effectual fault detection techniques are utilized for detecting faults from WSNs in a timely approach. Machine learning (ML) was extremely utilized for detecting faults in WSNs. Therefore, this study proposes a billiards optimization algorithm with modified deep learning for fault detection (BIOMDL-FD) in WSN. The BIOMDLFD technique mainly concentrates on identifying sensor faults to enhance network efficiency. To… More >

  • Open Access

    ARTICLE

    The Effect of Packet Loss Rate on Multipath Routing for Wireless Multimedia Sensor Network

    Mohammed Abazeed*

    Journal on Internet of Things, Vol.4, No.4, pp. 227-233, 2022, DOI:10.32604/jiot.2022.039598

    Abstract Wireless multimedia sensor networks present unique quality of service and resource management requirements that distinguish them from scalar data in traditional wireless sensor networks. These demands pose a formidable obstacle to sensor nodes, which are resource-constrained and thus require distinct strategies and techniques to operate effectively. Multipath routing improves reliability while conserving the limited resources of sensor nodes. The source node selects the most optimal paths for delivering multimedia packets based on the multi-hop routes. This paper investigates the impact of packet loss on the observed frame rate in multipath routing protocols and evaluates it More >

  • Open Access

    ARTICLE

    Reliability of Foot Intrinsic Muscle Strength Testing and Correlation with Corresponding Muscle Morphology in Elderly Adults

    Lulu Yin1,#, Kun Dong1,#, Zhangqi Lai2, Lin Wang1,*

    Molecular & Cellular Biomechanics, Vol.20, No.1, pp. 23-33, 2023, DOI:10.32604/mcb.2023.040788

    Abstract Age-related loss of foot intrinsic muscle (FIM) strength may be associated with disability, falls, and inability to perform daily activities. Previous studies have determined the reliability of FIM strength testing and evaluated the relationship between FIM strength and corresponding muscle morphology in young adults. However, few studies have measured FIM strength in the older. Therefore, this study aimed to assess the intra- and inter-reliability of FIM strength tests and the relationship between FIM strength and FIM size in the older. A total of 61 participants aged 60–75 years were recruited, and 18 of them were… More > Graphic Abstract

    Reliability of Foot Intrinsic Muscle Strength Testing and Correlation with Corresponding Muscle Morphology in Elderly Adults

  • Open Access

    REVIEW

    REVIEW OF VARIOUS THIN HEAT SPREADER VAPOR CHAMBER DESIGNS, PERFORMANCE, LIFETIME RELIABILITY AND APPLICATION

    Masataka Mochizukia,*,†, Thang Nguyenb

    Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.12

    Abstract The cooling device for computers and electronics is getting smaller and thinner year after year, especially for the mobile handheld device such as smartphone which is the most popular gadget and widely use nowadays. It seems that in the current trend every 6-12 months a new model of smartphone is introduced and it was packed with faster processing processor, memories, and graphics, higher density battery, higher resolution for camera and video and so on. The drawback is the device getting hotter due to the increase of heat dissipation caused by faster computing. The traditional method… More >

  • Open Access

    ARTICLE

    Validation of the Chinese Version of the Affective Exercise Experiences Questionnaire (AFFEXX-C)

    Ting Wang1, Boris Cheval2,3, Silvio Maltagliati4, Zachary Zenko5, Fabian Herold6, Sebastian Ludyga7, Markus Gerber7, Yan Luo8, Layan Fessler4, Notger G. Müller6, Liye Zou1,*

    International Journal of Mental Health Promotion, Vol.25, No.7, pp. 799-812, 2023, DOI:10.32604/ijmhp.2023.028324

    Abstract Despite the well-established benefits of regular physical activity (PA) on health, a large proportion of the world population does not achieve the recommended level of regular PA. Although affective experiences toward PA may play a key role to foster a sustained engagement in PA, they have been largely overlooked and crudely measured in the existing studies. To address this shortcoming, the Affective Exercise Experiences (AFFEXX) questionnaire has been developed to measure such experiences. Specifically, this questionnaire was developped to assess the following three domains: antecedent appraisals (e.g., liking vs. disliking exercise in groups), core affective… More >

  • Open Access

    ARTICLE

    Reliability-Based Topology Optimization of Fail-Safe Structures Using Moving Morphable Bars

    Xuan Wang1,2, Yuankun Shi2, Van-Nam Hoang3, Zeng Meng2,*, Kai Long4,*, Yuesheng Wang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 3173-3195, 2023, DOI:10.32604/cmes.2023.025501

    Abstract This paper proposes an effective reliability design optimization method for fail-safe topology optimization (FSTO) considering uncertainty based on the moving morphable bars method to establish the ideal balance between cost and robustness, reliability and structural safety. To this end, a performance measure approach (PMA)-based double-loop optimization algorithm is developed to minimize the relative volume percentage while achieving the reliability criterion. To ensure the compliance value of the worst failure case can better approximate the quantified design requirement, a p-norm constraint approach with correction parameter is introduced. Finally, the significance of accounting for uncertainty in the More > Graphic Abstract

    Reliability-Based Topology Optimization of Fail-Safe Structures Using Moving Morphable Bars

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