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  • Open Access



    Mahmud H. Alia,* , Rawand E. Jalala

    Frontiers in Heat and Mass Transfer, Vol.15, No.1, pp. 1-14, 2020, DOI:10.5098/hmt.15.27

    Abstract In this work, natural convection in an adiabatic enclosure with openings induced by two isothermal hot cylinders is approached numerically. The study covers five different configurations of the enclosure as the number and locations of the inlet and outlet ports are varied for Rayleigh number (Ra) between 104 and 106 . Additionally, the study also analyzes the effects of varying the horizontal distance (S) between the cylinders along with their vertical locations () for dimensionless values of 0.4 to 0.3 and -0.2 to 0.2, respectively, at a constant Ra of 106 . The outcomes show that the locations of the… More >

  • Open Access


    A broad overview of genotype imputation: Standard guidelines, approaches, and future investigations in genomic association studies


    BIOCELL, Vol.47, No.6, pp. 1225-1241, 2023, DOI:10.32604/biocell.2023.027884

    Abstract The advent of genomic big data and the statistical need for reaching significant results have led genome-wide association studies to be ravenous of a huge number of genetic markers scattered along the whole genome. Since its very beginning, the so-called genotype imputation served this purpose; this statistical and inferential procedure based on a known reference panel opened the theoretical possibility to extend association analyses to a greater number of polymorphic sites which have not been previously assayed by the used technology. In this review, we present a broad overview of the genotype imputation process, showing the most known methods and… More >

  • Open Access


    MoGUS, un outil de modélisation et d’analyse comparative des trames urbaines

    Dominique Badariotti, Cyril Meyer, Yasmina Ramrani

    Revue Internationale de Géomatique, Vol.30, No.2, pp. 181-213, 2020, DOI:10.3166/rig.2021.00109

    Abstract In this paper, we propose a model and a methodology for the analysis of urban fabrics, sets of built morphological units articulated together by urban networks. The core of the paper presents the MoGUS model (Model Generator & analyser for Urban Simulation) and its formalization. This model jointly represents the buildings and the viaires networks of a city in a graph, and allows a comparative analysis of the properties of different urban fabrics, using derived indicators. A study plan applied to four types of archetypal urban fabrics (Hippodamean, medieval, radio-concentric, Haussmannic) generated with the MoGUS tool is presented to illustrate… More >

  • Open Access


    Proceedings of the International Scientific Conference “Cancer, Work & Employment”
    Paris, November 21 and 22, 2022

    Compte rendu de la conférence scientifique internationale « Cancer, Travail et Emploi »
    Paris, 21 et 22 novembre 2022

    P. Gérain, P. Aurouet, J. Foucaud

    Psycho-Oncologie, Vol.17, No.1, pp. 11-17, 2023, DOI:10.3166/pson-2022-0227

    Abstract This paper is an overview of the International Scientific Conference on “Cancer, Work & Employment” that was held in Paris on November 21 and 22, 2022, and organized by the French National Cancer Institute (INCa). The conference was structured around four keynote presentations and two roundtables, with renowned international speakers. The focus of this conference was to discuss the challenges of return or access to work and job retention when facing cancer, from interdisciplinary perspectives (e.g., psychology, sociology, economics). Speakers analyzed return-to-work (RTW) determinants for cancer patients, with a particular focus on specific forms of cancer, working conditions (e.g., self-employment,… More >

  • Open Access


    “Cancer Is Not Just about a Disease”: the Experience of Breast Cancer in the Light of Patients’ Metaphors

    « Le cancer, ce n’est pas juste une histoire de maladie » : l’expérience du cancer du sein à la lumière des métaphores des patientes

    A. Guité-Verret, M. Vachon

    Psycho-Oncologie, Vol.17, No.1, pp. 44-50, 2023, DOI:10.3166/pson-2022-0220

    Abstract The aim of this study is to better understand the experience of breast cancer through the analysis of the metaphors in the narratives of women with breast cancer. The blogs of two women were selected and processed according to an interpretative phenomenological analysis. This analysis highlights three metaphors in light of which these women seemed to understand their experience: the body as a medical battlefield, the fragmented body, and the cancer journey. These findings underline the violent changes in the boundaries of the body and the subject that can occur during cancer treatment, as well as the need to integrate… More >

  • Open Access


    Real-Time Memory Data Optimization Mechanism of Edge IoT Agent

    Shen Guo*, Wanxing Sheng, Shuaitao Bai, Jichuan Zhang, Peng Wang

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 799-814, 2023, DOI:10.32604/iasc.2023.038330

    Abstract With the full development of disk-resident databases (DRDB) in recent years, it is widely used in business and transactional applications. In long-term use, some problems of disk databases are gradually exposed. For applications with high real-time requirements, the performance of using disk database is not satisfactory. In the context of the booming development of the Internet of things, domestic real-time databases have also gradually developed. Still, most of them only support the storage, processing, and analysis of data values with fewer data types, which can not fully meet the current industrial process control system data types, complex sources, fast update… More >

  • Open Access


    Mirai Botnet Attack Detection in Low-Scale Network Traffic

    Ebu Yusuf GÜVEN, Zeynep GÜRKAŞ-AYDIN*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 419-437, 2023, DOI:10.32604/iasc.2023.038043

    Abstract The Internet of Things (IoT) has aided in the development of new products and services. Due to the heterogeneity of IoT items and networks, traditional techniques cannot identify network risks. Rule-based solutions make it challenging to secure and manage IoT devices and services due to their diversity. While the use of artificial intelligence eliminates the need to define rules, the training and retraining processes require additional processing power. This study proposes a methodology for analyzing constrained devices in IoT environments. We examined the relationship between different sized samples from the Kitsune dataset to simulate the Mirai attack on IoT devices.… More >

  • Open Access


    Leaky Cable Fixture Detection in Railway Tunnel Based on RW DCGAN and Compressed GS-YOLOv5

    Suhang Li1, Yunzuo Zhang1,*, Ruixue Liu2, Jiayu Zhang1, Zhouchen Song1, Yutai Wang1

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1163-1180, 2023, DOI:10.32604/iasc.2023.037902

    Abstract The communication system of high-speed trains in railway tunnels needs to be built with leaky cables fixed on the tunnel wall with special fixtures. To ensure safety, checking the regular leaky cable fixture is necessary to eliminate the potential danger. At present, the existing fixture detection algorithms are difficult to take into account detection accuracy and speed at the same time. The faulty fixture is also insufficient and difficult to obtain, seriously affecting the model detection effect. To solve these problems, an innovative detection method is proposed in this paper. Firstly, we presented the Res-Net and Wasserstein-Deep Convolution GAN (RW-DCGAN)… More >

  • Open Access


    Forecasting the Municipal Solid Waste Using GSO-XGBoost Model

    Vaishnavi Jayaraman1, Arun Raj Lakshminarayanan1,*, Saravanan Parthasarathy1, A. Suganthy2

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 301-320, 2023, DOI:10.32604/iasc.2023.037823

    Abstract Waste production rises in tandem with population growth and increased utilization. The indecorous disposal of waste paves the way for huge disaster named as climate change. The National Environment Agency (NEA) of Singapore oversees the sustainable management of waste across the country. The three main contributors to the solid waste of Singapore are paper and cardboard (P&C), plastic, and food scraps. Besides, they have a negligible rate of recycling. In this study, Machine Learning techniques were utilized to forecast the amount of garbage also known as waste audits. The waste audit would aid the authorities to plan their waste infrastructure.… More >

  • Open Access


    Recognition for Frontal Emergency Stops Dangerous Activity Using Nano IoT Sensor and Transfer Learning

    Wei Sun1, Zhanhe Du2,*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1181-1195, 2023, DOI:10.32604/iasc.2023.037497

    Abstract Currently, it is difficult to extract the depth feature of the frontal emergency stops dangerous activity signal, which leads to a decline in the accuracy and efficiency of the frontal emergency stops the dangerous activity. Therefore, a recognition for frontal emergency stops dangerous activity algorithm based on Nano Internet of Things Sensor (NIoTS) and transfer learning is proposed. First, the NIoTS is installed in the athlete’s leg muscles to collect activity signals. Second, the noise component in the activity signal is removed using the de-noising method based on mathematical morphology. Finally, the depth feature of the activity signal is extracted… More >

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