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  • Open Access

    ARTICLE

    Information Security Evaluation of Industrial Control Systems Using Probabilistic Linguistic MCDM Method

    Wenshu Xu, Mingwei Lin*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 199-222, 2023, DOI:10.32604/cmc.2023.041475 - 31 October 2023

    Abstract Industrial control systems (ICSs) are widely used in various fields, and the information security problems of ICSs are increasingly serious. The existing evaluation methods fail to describe the uncertain evaluation information and group evaluation information of experts. Thus, this paper introduces the probabilistic linguistic term sets (PLTSs) to model the evaluation information of experts. Meanwhile, we propose a probabilistic linguistic multi-criteria decision-making (PL-MCDM) method to solve the information security assessment problem of ICSs. Firstly, we propose a novel subscript equivalence distance measure of PLTSs to improve the existing methods. Secondly, we use the Best Worst… More >

  • Open Access

    ARTICLE

    Parallel Integrated Model-Driven and Data-Driven Online Transient Stability Assessment Method for Power System

    Ying Zhang1, Xiaoqing Han2, Chao Zhang1, Ying Qu1, Yang Liu1, Gengwu Zhang2,*

    Energy Engineering, Vol.120, No.11, pp. 2585-2609, 2023, DOI:10.32604/ee.2023.026816 - 31 October 2023

    Abstract More and more uncertain factors in power systems and more and more complex operation modes of power systems put forward higher requirements for online transient stability assessment methods. The traditional model-driven methods have clear physical mechanisms and reliable evaluation results but the calculation process is time-consuming, while the data-driven methods have the strong fitting ability and fast calculation speed but the evaluation results lack interpretation. Therefore, it is a future development trend of transient stability assessment methods to combine these two kinds of methods. In this paper, the rate of change of the kinetic energy… More >

  • Open Access

    REVIEW

    Blockchain Security Threats and Collaborative Defense: A Literature Review

    Xiulai Li1,2,3,4, Jieren Cheng1,3,*, Zhaoxin Shi2,3, Jingxin Liu2,3, Bin Zhang1,3, Xinbing Xu2,3, Xiangyan Tang1,3, Victor S. Sheng5

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2597-2629, 2023, DOI:10.32604/cmc.2023.040596 - 08 October 2023

    Abstract As a distributed database, the system security of the blockchain is of great significance to prevent tampering, protect privacy, prevent double spending, and improve credibility. Due to the decentralized and trustless nature of blockchain, the security defense of the blockchain system has become one of the most important measures. This paper comprehensively reviews the research progress of blockchain security threats and collaborative defense, and we first introduce the overview, classification, and threat assessment process of blockchain security threats. Then, we investigate the research status of single-node defense technology and multi-node collaborative defense technology and summarize More >

  • Open Access

    ARTICLE

    Fang-Xia-Dihuang decoction inhibits breast cancer progression induced by psychological stress via down-regulation of PI3K/AKT and JAK2/STAT3 pathways: An in vivo and a network pharmacology assessment

    LINGYAN LV1,2,#, JING ZHAO1,2,#, XUAN WANG1,2, LIUYAN XU1,2, YINGYI FAN2, CHUNHUI WANG3, HONGQIAO FAN4,5,*, XIAOHUA PEI5,*

    BIOCELL, Vol.47, No.9, pp. 1977-1994, 2023, DOI:10.32604/biocell.2023.030742 - 28 September 2023

    Abstract Background: The development and prognosis of breast cancer are intricately linked to psychological stress. In addition, depression is the most common psychological comorbidity among breast cancer survivors, and reportedly, Fang-Xia-Dihuang decoction (FXDH) can effectively manage depression in such patients. However, its pharmacological and molecular mechanisms remain obscure. Methods: Public databases were used for obtaining active components and related targets. Main active components were further verified by ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS). Protein–protein interaction and enrichment analyses were taken to predict potential hub targets and related pathways. Molecule docking was used to understand the interactions… More >

  • Open Access

    ARTICLE

    A Novel IoT Architecture, Assessment of Threats and Their Classification with Machine Learning Solutions

    Oliva Debnath1, Saptarshi Debnath1, Sreyashi Karmakar2, MD Tausif Mallick3, Himadri Nath Saha4,*

    Journal on Internet of Things, Vol.5, pp. 13-43, 2023, DOI:10.32604/jiot.2023.039391 - 22 September 2023

    Abstract The Internet of Things (IoT) will significantly impact our social and economic lives in the near future. Many Internet of Things (IoT) applications aim to automate multiple tasks so inactive physical objects can behave independently of others. IoT devices, however, are also vulnerable, mostly because they lack the essential built-in security to thwart attackers. It is essential to perform the necessary adjustments in the structure of the IoT systems in order to create an end-to-end secure IoT environment. As a result, the IoT designs that are now in use do not completely support all of… More >

  • Open Access

    ARTICLE

    Assessment of Nanoparticle-Enriched Solvents for Oil Recovery Enhancement

    Muayad M. Hasan1,*, Firas K. Al-Zuhairi2, Anfal H. Sadeq1, Rana A. Azeez1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.11, pp. 2827-2835, 2023, DOI:10.32604/fdmp.2023.027746 - 18 September 2023

    Abstract Solvents are generally used to reduce the viscosity of heavy crude oil and ultimately enhance oil recovery. Recently, a new method has been introduced where nanoparticles (NPs) are exploited to induce enhanced oil recovery owing to their ability to improve the mobility ratio, dampen the interfacial tension, and alter rock wettability. This study investigated the integration of nano-alumina (Al2O3) NPs with an n-hexane solvent. In particular, a Brookfield viscometer has been used to measure the crude oil viscosity and it has been found that NPs can effectively lead to a significant decrease in the overall oil More >

  • Open Access

    ARTICLE

    An Overview of Seismic Risk Management for Italian Architectural Heritage

    Lucio Nobile*

    Structural Durability & Health Monitoring, Vol.17, No.5, pp. 353-368, 2023, DOI:10.32604/sdhm.2023.028247 - 07 September 2023

    Abstract The frequent occurrence of seismic events in Italy poses a strategic problem that involves either the culture of preservation of historical heritage or the civil protection action aimed to reduce the risk to people and goods (buildings, bridges, dams, slopes, etc.). Most of the Italian architectural heritage is vulnerable to earthquakes, identifying the vulnerability as the inherent predisposition of the masonry building to suffer damage and collapse during an earthquake. In fact, the structural concept prevailing in these ancient masonry buildings is aimed at ensuring prevalent resistance to vertical gravity loads. Rarely do these ancient… More >

  • Open Access

    ARTICLE

    Experimental and Numerical Investigation on High-Pressure Centrifugal Pumps: Ultimate Pressure Formulation, Fatigue Life Assessment and Topological Optimization of Discharge Section

    Abdourahamane Salifou Adam1, Hatem Mrad1, Haykel Marouani2,*, Yasser Fouad3

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2845-2865, 2023, DOI:10.32604/cmes.2023.030777 - 03 August 2023

    Abstract A high percentage of failure in pump elements originates from fatigue. This study focuses on the discharge section behavior, made of ductile iron, under dynamic load. An experimental protocol is established to collect the strain under pressurization and depressurization tests at specific locations. These experimental results are used to formulate the ultimate pressure expression function of the strain and the lateral surface of the discharge section and to validate finite element modeling. Fe-Safe is then used to assess the fatigue life cycle using different types of fatigue criteria (Coffin-Manson, Morrow, Goodman, and Soderberg). When the… More >

  • Open Access

    ARTICLE

    Development of Features for Early Detection of Defects and Assessment of Bridge Decks

    Ahmed Silik1,2,7, Xiaodong Wang3, Chenyue Mei3, Xiaolei Jin3, Xudong Zhou4, Wei Zhou4, Congning Chen4, Weixing Hong1,2, Jiawei Li1,2, Mingjie Mao1,2, Yuhan Liu1,2, Mohammad Noori5,6,*, Wael A. Altabey8,*

    Structural Durability & Health Monitoring, Vol.17, No.4, pp. 257-281, 2023, DOI:10.32604/sdhm.2023.023617 - 02 August 2023

    Abstract Damage detection is an important area with growing interest in mechanical and structural engineering. One of the critical issues in damage detection is how to determine indices sensitive to the structural damage and insensitive to the surrounding environmental variations. Current damage identification indices commonly focus on structural dynamic characteristics such as natural frequencies, mode shapes, and frequency responses. This study aimed at developing a technique based on energy Curvature Difference, power spectrum density, correlation-based index, load distribution factor, and neutral axis shift to assess the bridge deck condition. In addition to tracking energy and frequency More > Graphic Abstract

    Development of Features for Early Detection of Defects and Assessment of Bridge Decks

  • Open Access

    ARTICLE

    Business Blockchain Suitability Determinants: Decision-Making through an Intuitionistic Fuzzy Method

    Tomader Almeshal1,*, Jawad Berri1, Tarifa Almulhim2, Areej Alhogail1, Emam Ahmed3

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1665-1690, 2023, DOI:10.32604/csse.2023.038871 - 28 July 2023

    Abstract Blockchain is one of the innovative and disruptive technologies that has a wide range of applications in multiple industries beyond cryptocurrency. The widespread adoption of blockchain technology in various industries has shown its potential to solve challenging business problems, as well as the possibility to create new business models which can increase a firm’s competitiveness. Due to the novelty of the technology, whereby many companies are still exploring potential use cases, and considering the complexity of blockchain technology, which may require huge changes to a company’s existing systems and processes, it is important for companies… More >

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