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  • Open Access

    PROCEEDINGS

    The Impact of Aggregation Platforms on the Ride-Sourcing Market with Different Models of Companies

    Xin Zhang1,2, Gege Jiang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-5, 2023, DOI:10.32604/icces.2023.09222

    Abstract With the booming development of the ride-sourcing (RS)industry, aggregation platforms that integrate RS companies have emerged in recent years, such as Gaode and Meituan. Aggregation platforms can consolidate resources and avoid fragmentation of the market. But the emergence of aggregation platforms has also changed the market structure and brought challenges. This paper explores the impact of aggregation platforms on the market with two models of companies: customer-to-customer (C2C) companies, and business-to-customer (B2C) companies. C2C companies adjust supply and demand to maximize revenue by determining travel fares and the cut taken from the travel fares, i.e., the commission. B2C companies will… More >

  • Open Access

    ARTICLE

    Analysis of CLARANS Algorithm for Weather Data Based on Spark

    Jiahao Zhang, Honglin Wang*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2427-2441, 2023, DOI:10.32604/cmc.2023.038462

    Abstract With the rapid development of technology, processing the explosive growth of meteorological data on traditional standalone computing has become increasingly time-consuming, which cannot meet the demands of scientific research and business. Therefore, this paper proposes the implementation of the parallel Clustering Large Application based upon RANdomized Search (CLARANS) clustering algorithm on the Spark cloud computing platform to cluster China’s climate regions using meteorological data from 1988 to 2018. The aim is to address the challenge of applying clustering algorithms to large datasets. In this paper, the morphological similarity distance is adopted as the similarity measurement standard instead of Euclidean distance,… More >

  • Open Access

    PROCEEDINGS

    Study on Variation Law of In-Situ Stress Around Well Under Different Fracturing Technology of Shale Gas Platform Well

    Xiaojun Zhang1, Jun Li1,2,*, Wei Lian2, Gonghui Liu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010343

    Abstract In recent years, shale gas development in Fengnan 4 well area of Xinjiang Oilfield is dominated by platform wells. In contrast to conventional fracturing development, the zipper fracturing is primarily used in this block. In this paper, the finite element model of platform well fracturing is established by establishing the mathematical model of multi-cluster fractures interacting with each other, considering the condition of multi-well and multi-fracture. The sequential fracturing of platform wells and the zipper fracturing (well alternating fracturing, fracturing stage alternating fracturing) are simulated in this paper, and the variation law of induced stress and horizontal principal s are… More >

  • Open Access

    ARTICLE

    Real Time Vehicle Status Monitoring under Moving Conditions Using a Low Power IoT System

    M. Vlachos1,*, R. Lopardo2, A. Amditis1

    Journal on Internet of Things, Vol.4, No.4, pp. 235-261, 2022, DOI:10.32604/jiot.2022.040820

    Abstract In the era of the Internet of Things (IoT), the ever-increasing number of devices connected to the IoT networks also increases the energy consumption on the edge. This is prohibitive since the devices living on the edge are generally resource constrained devices in terms of energy consumption and computational power. Thus, trying to tackle this issue, in this paper, a fully automated end-to-end IoT system for real time monitoring of the status of a moving vehicle is proposed. The IoT system consists mainly of three components: (1) the ultra-low power consumption Wireless Sensor Node (WSN), (2) the IoT gateway and… More >

  • Open Access

    REVIEW

    Microfluidic platform for circulating tumor cells isolation and detection

    JIAHAO ZHANG1,2,3, JIE REN4, ZIRUI LI1,2,3,*, YIXING GOU1,2,3,*

    BIOCELL, Vol.47, No.7, pp. 1439-1447, 2023, DOI:10.32604/biocell.2023.028628

    Abstract Circulating tumor cells (CTCs) are essential biomarkers for liquid biopsies, which are important in the early screening, prognosis, and real-time monitoring of cancer. However, CTCs are less abundant in the peripheral blood of patients, therefore, their isolation is necessary. Recently, the use of microfluidics for CTC sorting has become a research hotspot owing to its low cost, ease of integration, low sample consumption, and unique advantages in the manipulation of micron-sized particles. Herein, we review the latest research on microfluidics-based CTC sorting. Specifically, we consider active sorting using external fields (electric, magnetic, acoustic, and optical tweezers) and passive sorting using… More >

  • Open Access

    ARTICLE

    Container Instrumentation and Enforcement System for Runtime Security of Kubernetes Platform with eBPF

    Songi Gwak, Thien-Phuc Doan, Souhwan Jung*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1773-1786, 2023, DOI:10.32604/iasc.2023.039565

    Abstract Containerization is a fundamental component of modern cloud-native infrastructure, and Kubernetes is a prominent platform of container orchestration systems. However, containerization raises significant security concerns due to the nature of sharing a kernel among multiple containers, which can lead to container breakout or privilege escalation. Kubernetes cannot avoid it as well. While various tools, such as container image scanning and configuration checking, can mitigate container workload vulnerabilities, these are not foolproof and cannot guarantee perfect isolation or prevent every active threat in runtime. As such, a policy enforcement solution is required to tackle the problem, and existing solutions based on… More >

  • Open Access

    ARTICLE

    A Detailed Study on IoT Platform for ECG Monitoring Using Transfer Learning

    Md Saidul Islam*

    Journal on Internet of Things, Vol.4, No.3, pp. 127-140, 2022, DOI:10.32604/jiot.2022.037489

    Abstract Internet of Things (IoT) technologies used in health have the potential to address systemic difficulties by offering tools for cost reduction while improving diagnostic and treatment efficiency. Numerous works on this subject focus on clarifying the constructs and interfaces between various components of an IoT platform, such as knowledge generation via smart sensors collecting biosignals from the human body and processing them via data mining and, in recent times, deep neural networks offered to host on cloud computing architecture. These approaches are intended to assist healthcare professionals in their daily activities. In this comparative research, we discuss the construction of… More >

  • Open Access

    ARTICLE

    Dis-NDVW: Distributed Network Asset Detection and Vulnerability Warning Platform

    Leilei Li1, Yansong Wang2, Dongjie Zhu2,*, Xiaofang Li3, Haiwen Du4, Yixuan Lu2, Rongning Qu3, Russell Higgs5

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 771-791, 2023, DOI:10.32604/cmc.2023.038268

    Abstract With the rapid development of Internet technology, the issues of network asset detection and vulnerability warning have become hot topics of concern in the industry. However, most existing detection tools operate in a single-node mode and cannot parallelly process large-scale tasks, which cannot meet the current needs of the industry. To address the above issues, this paper proposes a distributed network asset detection and vulnerability warning platform (Dis-NDVW) based on distributed systems and multiple detection tools. Specifically, this paper proposes a distributed message subscription and publication system based on Zookeeper and Kafka, which endows Dis-NDVW with the ability to parallelly… More >

  • Open Access

    ARTICLE

    Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter

    Wadhah Mohammed M. Aqlan1, Ghassan Ahmed Ali2,*, Khairan Rajab2, Adel Rajab2, Asadullah Shaikh2, Fekry Olayah2, Shehab Abdulhabib Saeed Alzaeemi3,*, Kim Gaik Tay3, Mohd Adib Omar1, Ernest Mangantig4

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 665-686, 2023, DOI:10.32604/cmc.2023.039228

    Abstract Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal hemoglobin production, resulting in a drop in the size of red blood cells. In severe forms, it can lead to death. This genetic disorder has posed a major burden on public health wherein patients with severe thalassemia need periodic therapy of iron chelation and blood transfusion for survival. Therefore, controlling thalassemia is extremely important and is made by promoting screening to the general population, particularly among thalassemia carriers. Today Twitter is one of the most influential social media platforms for sharing opinions and discussing different topics like… More >

  • Open Access

    ARTICLE

    Assessment of Aged Offshore Jacket Type Platforms Considering Environmental Loads and Degradation Parameters

    Yazeed Al-Radhi1,*, Farzad Hejazi2, Azmi Abdulkarim3, Ali Feroozi4

    Structural Durability & Health Monitoring, Vol.17, No.2, pp. 89-113, 2023, DOI:10.32604/sdhm.2023.011439

    Abstract Offshore steel structures are a common investment in oil and gas industries operating in shallow to medium depth seas. These structures have become increasingly popular since the mid-19th century, with a typical design life of 30-50 years. Despite their popularity, the structural integrity of existing offshore structures remains a controversial topic. Environmental loads and material degradation have been identified as significant factors that can compromise the structural integrity of offshore structures. To address this issue, this study aims to investigate the reserved strength capacity of a selected offshore structure located in the Malaysian Seas. The study will explore the effect… More >

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