Peicong He, Yang Xin^*, Yixian Yang

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3067-3084, 2024, DOI:10.32604/cmc.2024.054777 - 15 August 2024

Abstract The proliferation of intelligent, connected Internet of Things (IoT) devices facilitates data collection. However, task workers may be reluctant to participate in data collection due to privacy concerns, and task requesters may be concerned about the validity of the collected data. Hence, it is vital to evaluate the quality of the data collected by the task workers while protecting privacy in spatial crowdsourcing (SC) data collection tasks with IoT. To this end, this paper proposes a privacy-preserving data reliability evaluation for SC in IoT, named PARE. First, we design a data uploading format using blockchain More >

Yuanyuan Zhao¹, Fujian Zhao², Guohui Li³, Wei Xu^4,*, Xiuli Wang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1883-1901, 2024, DOI:10.32604/fdmp.2024.047298 - 06 August 2024

Abstract Self-excited oscillating jets (SOJ) are used in several practical applications. Their performances are significantly affected by structural parameters and the target distance. In this study, a geometric model of the SOJ nozzle accounting for multiple structural parameters is introduced, then the related cavitation performances and the optimal target distance are investigated using a Large-Eddy Simulation (LES) approach. Results are also provided about an experiment, which was conducted to validate the simulation results. By analyzing the evolution of the vapor volume fraction at the nozzle outlet, a discussion is presented about the effect of the aforementioned… More >

Lye-Ann Robichaud^1,2,3, Marianne Olivier-D’Avignon⁴, Julie Felipe¹, Hermann Ferdinand Thomas Ehrenfeld^1,2,3, Marc-Antoine Marquis^5,6, Bruno Michon^7,8, Émélie Rondeau^2,3, Mathias Tyo-Gomez⁹, Michel Duval^5,10, Serge Sultan^1,2,3,5,10,*

Psycho-Oncologie, Vol.18, No.2, pp. 127-135, 2024, DOI:10.32604/po.2024.046496 - 06 August 2024

Abstract En contexte de cancer avancé pédiatrique, c’est-à-dire quand les traitements visant le cancer ne sont pas efficaces, les soins offerts aux patients ont une visée palliative pour limiter les symptômes et optimiser la qualité de vie (QdV). Pour orienter ces soins, il est nécessaire de connaître et mesurer ce qui est important pour les jeunes dans cette situation. Malheureusement, il existe très peu d’outils disponibles. L’objectif de cet article est de décrire le processus de développement d’une nouvelle méthode d’évaluation de la QdV qui s’adresse spécifiquement au contexte de cancer avancé pédiatrique, le programme Advance… More >

Zhiqiao Ji^1,2, Shuhua Wei^1,*, Hejuan Ding¹

International Journal of Mental Health Promotion, Vol.26, No.7, pp. 547-558, 2024, DOI:10.32604/ijmhp.2024.049867 - 30 July 2024

Abstract Internet gaming disorder (IGD) among junior high school students is an increasingly prominent mental health concern. It is important to look for influences behind internet gaming disorder tendency (IGDT) in the junior high school student population. The present study aimed to reveal the explanatory mechanisms underlying the association between parental psychological control (PPC) and internet gaming disorder tendency among junior high school students by testing the mediating role of core self-evaluation (CSE) and the moderating role of intentional self-regulation (ISR). Participants in present study were 735 Chinese junior high school students who completed offline self-report… More >

Wanrun Li^1,2,3,*, Wenhai Zhao¹, Tongtong Wang¹, Yongfeng Du^1,2,3

Structural Durability & Health Monitoring, Vol.18, No.5, pp. 553-575, 2024, DOI:10.32604/sdhm.2024.050751 - 19 July 2024

Abstract The accumulation of defects on wind turbine blade surfaces can lead to irreversible damage, impacting the aerodynamic performance of the blades. To address the challenge of detecting and quantifying surface defects on wind turbine blades, a blade surface defect detection and quantification method based on an improved Deeplabv3+ deep learning model is proposed. Firstly, an improved method for wind turbine blade surface defect detection, utilizing Mobilenetv2 as the backbone feature extraction network, is proposed based on an original Deeplabv3+ deep learning model to address the issue of limited robustness. Secondly, through integrating the concept of… More > Graphic Abstract

Ibrahim Alameri^1,*, Tawfik Al-Hadhrami², Anjum Nazir³, Abdulsamad Ebrahim Yahya⁴, Atef Gharbi⁵

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 319-339, 2024, DOI:10.32604/cmc.2024.052999 - 18 July 2024

Abstract This paper contributes a sophisticated statistical method for the assessment of performance in routing protocols salient Mobile Ad Hoc Network (MANET) routing protocols: Destination Sequenced Distance Vector (DSDV), Ad hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Zone Routing Protocol (ZRP). In this paper, the evaluation will be carried out using complete sets of statistical tests such as Kruskal-Wallis, Mann-Whitney, and Friedman. It articulates a systematic evaluation of how the performance of the previous protocols varies with the number of nodes and the mobility patterns. The study is premised upon the Quality of More >

Yaqiong He, Jinlin Fan^*, Huaiguang Wu

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 995-1032, 2024, DOI:10.32604/cmc.2024.052887 - 18 July 2024

Abstract With the rise of blockchain technology, the security issues of smart contracts have become increasingly critical. Despite the availability of numerous smart contract vulnerability detection tools, many face challenges such as slow updates, usability issues, and limited installation methods. These challenges hinder the adoption and practicality of these tools. This paper examines smart contract vulnerability detection tools from 2016 to 2023, sourced from the Web of Science (WOS) and Google Scholar. By systematically collecting, screening, and synthesizing relevant research, 38 open-source tools that provide installation methods were selected for further investigation. From a developer’s perspective,… More >

Elif Çaloğlu Büyükselçuk^*

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 715-746, 2024, DOI:10.32604/cmc.2024.052509 - 18 July 2024

Abstract Industrial Internet of Things (IIoT) service providers have become increasingly important in the manufacturing industry due to their ability to gather and process vast amounts of data from connected devices, enabling manufacturers to improve operational efficiency, reduce costs, and enhance product quality. These platforms provide manufacturers with real-time visibility into their production processes and supply chains, allowing them to optimize operations and make informed decisions. In addition, IIoT service providers can help manufacturers create new revenue streams through the development of innovative products and services and enable them to leverage the benefits of emerging technologies… More >

Hao Bai¹, Beiyuan Liu^2,*, Hongwen Liu³, Jupeng Zeng², Jian Ouyang⁴, Yipeng Liu¹

Energy Engineering, Vol.121, No.8, pp. 2191-2211, 2024, DOI:10.32604/ee.2024.049848 - 19 July 2024

Abstract Most ground faults in distribution network are caused by insulation deterioration of power equipment. It is difficult to find the insulation deterioration of the distribution network in time, and the development trend of the initial insulation fault is unknown, which brings difficulties to the distribution inspection. In order to solve the above problems, a situational awareness method of the initial insulation fault of the distribution network based on a multi-feature index comprehensive evaluation is proposed. Firstly, the insulation situation evaluation index is selected by analyzing the insulation fault mechanism of the distribution network, and the… More >

Abdel Aziz Osséni¹, Gbodja Houéhanou François Gbesso^1,*, Sedami Igor Armand Yevide², Etienne Romaric Adéwalé Godonou¹

Revue Internationale de Géomatique, Vol.33, pp. 201-220, 2024, DOI:10.32604/rig.2024.053500 - 11 July 2024

Abstract Urban green areas play a vital role in enhancing the social balance, resilience, and environmental sustainability of urban settings. In Benin, while the landscaping sector is expanding, finding appropriate locations for creating green spaces remains a challenge. The purpose of this study was to identify areas conducive to the incorporation of green landscapes into urban planning within the Sèmè-Podji District. The approach used involved a multi-criteria analysis leveraging a combined GIS and Analytic Hierarchy Process (AHP) framework. Six key factors were considered: land use, elevation, slope, distance to major roads, proximity to urban hubs, and… More > Graphic Abstract