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Search Results (9)
  • Open Access

    ARTICLE

    Digital Soil Mapping (DSM) Using a GIS-Based RF Machine Learning Model: The Case of Strandzha Mountains (Thrace Peninsula, Türkiye)

    Emre Ozsahin1,*, Huseyin Sarı2, Duygu Boyraz Erdem2, Mikayil Ozturk2

    Revue Internationale de Géomatique, Vol.33, pp. 341-361, 2024, DOI:10.32604/rig.2024.054197 - 13 September 2024

    Abstract This study assessed and mapped the spatial distribution of soil types and properties developed under the forest cover of the Strandzha Mountains of Türkiye. The study was conducted on a micro-scale in the riparian zone of the Balaban River, which characterizes the soils distributed in the mountainous area. The effect of environmental factors on the spatial distribution of soil types and properties was also determined. To gather data, soil sampling, laboratory analysis, data processing and mapping were sequentially performed. These data were analyzed using the Geographical Information System (GIS) based Random Forest (RF) machine learning… More > Graphic Abstract

    Digital Soil Mapping (DSM) Using a GIS-Based RF Machine Learning Model: The Case of Strandzha Mountains (Thrace Peninsula, Türkiye)

  • Open Access

    ARTICLE

    Delivery Service Management System Using Google Maps for SMEs in Emerging Countries

    Sophea Horng, Pisal Yenradee*

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6119-6143, 2023, DOI:10.32604/cmc.2023.038764 - 29 April 2023

    Abstract This paper proposes a Delivery Service Management (DSM) system for Small and Medium Enterprises (SMEs) that own a delivery fleet of pickup trucks to manage Business-to-Business (B2B) delivery services. The proposed DSM system integrates four systems: Delivery Location Positioning (DLP), Delivery Route Planning (DRP), Arrival Time Prediction (ATP), and Communication and Data Sharing (CDS) systems. These systems are used to pinpoint the delivery locations of customers, plan the delivery route of each truck, predict arrival time (with an interval) at each delivery location, and communicate and share information among stakeholders, respectively. The DSM system deploys… More >

  • Open Access

    ARTICLE

    Classification of Multi-view Digital Mammogram Images Using SMO-WkNN

    P. Malathi1,*, G. Charlyn Pushpa Latha2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1741-1758, 2023, DOI:10.32604/csse.2023.035185 - 09 February 2023

    Abstract Breast cancer (BCa) is a leading cause of death in the female population across the globe. Approximately 2.3 million new BCa cases are recorded globally in females, overtaking lung cancer as the most prevalent form of cancer to be diagnosed. However, the mortality rates for cervical and BCa are significantly higher in developing nations than in developed countries. Early diagnosis is the only option to minimize the risks of BCa. Deep learning (DL)-based models have performed well in image processing in recent years, particularly convolutional neural network (CNN). Hence, this research proposes a DL-based CNN… More >

  • Open Access

    ARTICLE

    Dynamic Sliding Mode Backstepping Control for Vertical Magnetic Bearing System

    Wei-Lung Mao1,*, Yu-Ying Chiu1, Chao-Ting Chu2, Bing-Hong Lin1, Jian-Jie Hung3

    Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 923-936, 2022, DOI:10.32604/iasc.2022.019555 - 17 November 2021

    Abstract Electromagnets are commonly used as support for machine components and parts in magnetic bearing systems (MBSs). Compared with conventional mechanical bearings, the magnetic bearings have less noise, friction, and vibration, but the magnetic force has a highly nonlinear relationship with the control current and the air gap. This research presents a dynamic sliding mode backstepping control (DSMBC) designed to track the height position of modeless vertical MBS. Because MBS is nonlinear with model uncertainty, the design of estimator should be able to solve the lumped uncertainty. The proposed DSMBC controller can not only stabilize the… More >

  • Open Access

    ARTICLE

    EDSM-Based Binary Protocol State Machine Reversing

    Shen Wang1,*, Fanghui Sun1, Hongli Zhang1, Dongyang Zhan1,2, Shuang Li3, Jun Wang1

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3711-3725, 2021, DOI:10.32604/cmc.2021.016562 - 24 August 2021

    Abstract Internet communication protocols define the behavior rules of network components when they communicate with each other. With the continuous development of network technologies, many private or unknown network protocols are emerging in endlessly various network environments. Herein, relevant protocol specifications become difficult or unavailable to translate in many situations such as network security management and intrusion detection. Although protocol reverse engineering is being investigated in recent years to perform reverse analysis on the specifications of unknown protocols, most existing methods have proven to be time-consuming with limited efficiency, especially when applied on unknown protocol state More >

  • Open Access

    ARTICLE

    A Description Method for Formalizing Domain-Specific Modelling Language

    Tao Jiang

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 299-308, 2018, DOI:10.32604/csse.2018.33.299

    Abstract Many Domain-Specific Modelling Languages (DSML) can not formally define their semantics, which inevitably brings many problems, such as accurate description and automatic verification of model properties. In this paper, we propose a formal description method of the structural semantics of DSML for verifying consistency of models built based on DSML. Firstly, domain indicating structural semantics of DSML is formally defined based on algebra, and then, we briefly describe our framework for formalizing DSML and verifying consistency of DSML and its models and use a classic case to illustrate our approach; based on this, we construct More >

  • Open Access

    ARTICLE

    Production of Polyhydroxybutyrate (PHB) by Bacillus megaterium DSM 32 from Residual Glycerol of the Bioenergy Industry

    Enzo Alvarado-Cordero1, Gabriela Montes de Oca-Vásquez2, Reinaldo Pereira-Reyes2, José Vega-Baudrit2, Marianelly Esquivel-Alfaro1*

    Journal of Renewable Materials, Vol.5, No.3-4, pp. 323-331, 2017, DOI:10.7569/JRM.2017.634123

    Abstract Biodegradable polymers from renewable resources are generating growing interest in the plastic industry because they have properties similar to synthetic polymers. Polyhydroxyalkanoates, mainly polyhydroxybutyrate (PHB), have mechanical and physicochemical properties very similar to their synthetic counterparts. This work explores the use of residual glycerol from the bioenergy industry for the production of PHB by Bacillus megaterium DSM 32. The glycerol works as a source of carbon and energy. Raw glycerol was purified with sulfuric acid in order to neutralize saponified fatty acids. The purification process generated three different phases. One of the phases was the… More >

  • Open Access

    ARTICLE

    SIMULATIONS OF HYPERSONIC FLOW PAST A RE-ENTRY CAPSULE USING DSMC METHOD

    R.V. Reji, S. Anil Lal

    Frontiers in Heat and Mass Transfer, Vol.7, pp. 1-8, 2016, DOI:10.5098/hmt.7.27

    Abstract DSMC simulation of re-entry of an object with shape and size close to that of ISRO’s Space Recovery Experiment (SRE) capsule has been analysed using the open-source tool dsmcFoam for three altitude conditions, viz. 85 km, 100 km and 115 km, and for three angles of attack, viz. 0 o , 20o&40o . The hypersonic free stream velocity of 8000 m/s and boundary surface temperature of 300 K have been used for the simulations. The variation of parameters such as surface heat flux, surface pressure, shear stress, slip velocity, temperature jump and integrals such as More >

  • Open Access

    ARTICLE

    Implicit Boundary Conditions for Direct Simulation Monte Carlo Method in MEMS Flow Predictions

    W.W. Liou1, Y.C. Fang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.1, No.4, pp. 119-128, 2000, DOI:10.3970/cmes.2000.001.571

    Abstract A simple implicit treatment for the low speed inflow and outflow boundary conditions for the direct simulation Monte Carlo (DSMC) of the flows in microelectromechanical systems (MEMS) is proposed. The local mean flow velocity, temperature, and number density near the subsonic boundaries were used to determine the number of molecules entering the computational domain and their corresponding velocities at every sample average step. The proposed boundary conditions were validated against micro-Poiseuille flows and micro-Couette flows. The results were compared with analytical solutions derived from the Navier-Stokes equations using first-order and second order slip-boundary conditions. The More >

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