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  • Open Access

    REVIEW

    6G-Enabled Internet of Things: Vision, Techniques, and Open Issues

    Mehdi Hosseinzadeh1, Atefeh Hemmati2, Amir Masoud Rahmani3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 509-556, 2022, DOI:10.32604/cmes.2022.021094

    Abstract There are changes in the development of wireless technology systems every decade. 6G (sixth generation) wireless networks improve on previous generations by increasing dependability, accelerating networks, increasing available bandwidth, decreasing latency, and increasing data transmission speed to standardize communication signals. The purpose of this article is to comprehend the current directions in 6G studies and their relationship to the Internet of Things (IoT). Also, this paper discusses the impacts of 6G on IoT, critical requirements and trends for 6G-enabled IoT, new service classes of 6G and IoT technologies, and current 6G-enabled IoT studies selected by the systematic literature review (SLR)… More >

  • Open Access

    ARTICLE

    Regarding Deeper Properties of the Fractional Order Kundu-Eckhaus Equation and Massive Thirring Model

    Yaya Wang1, P. Veeresha2, D. G. Prakasha3, Haci Mehmet Baskonus4,*, Wei Gao5

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 697-717, 2022, DOI:10.32604/cmes.2022.021865

    Abstract In this paper, the fractional natural decomposition method (FNDM) is employed to find the solution for the KunduEckhaus equation and coupled fractional differential equations describing the massive Thirring model. The massive Thirring model consists of a system of two nonlinear complex differential equations, and it plays a dynamic role in quantum field theory. The fractional derivative is considered in the Caputo sense, and the projected algorithm is a graceful mixture of Adomian decomposition scheme with natural transform technique. In order to illustrate and validate the efficiency of the future technique, we analyzed projected phenomena in terms of fractional order. Moreover,… More >

  • Open Access

    ARTICLE

    Prerequisite Relations among Knowledge Units: A Case Study of Computer Science Domain

    Fatema Nafa1,*, Amal Babour2, Austin Melton3

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 639-652, 2022, DOI:10.32604/cmes.2022.020084

    Abstract The importance of prerequisites for education has recently become a promising research direction. This work proposes a statistical model for measuring dependencies in learning resources between knowledge units. Instructors are expected to present knowledge units in a semantically well-organized manner to facilitate students’ understanding of the material. The proposed model reveals how inner concepts of a knowledge unit are dependent on each other and on concepts not in the knowledge unit. To help understand the complexity of the inner concepts themselves, WordNet is included as an external knowledge base in this model. The goal is to develop a model that… More >

  • Open Access

    ARTICLE

    Prediction of Photosynthetic Carbon Assimilation Rate of Individual Rice Leaves under Changes in Light Environment Using BLSTM-Augmented LSTM

    Masayuki Honda1, Kenichi Tatsumi2,*, Masaki Nakagawa3

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 557-577, 2022, DOI:10.32604/cmes.2022.020623

    Abstract A model to predict photosynthetic carbon assimilation rate (A) with high accuracy is important for forecasting crop yield and productivity. Long short-term memory (LSTM), a neural network suitable for time-series data, enables prediction with high accuracy but requires mesophyll variables. In addition, for practical use, it is desirable to have a technique that can predict A from easily available information. In this study, we propose a BLSTMaugmented LSTM (BALSTM) model, which utilizes bi-directional LSTM (BLSTM) to indirectly reproduce the mesophyll variables required for LSTM. The most significant feature of the proposed model is that its hybrid architecture uses only three… More >

  • Open Access

    REVIEW

    A Comparison of Shale Gas Fracturing Based on Deep and Shallow Shale Reservoirs in the United States and China

    Qixing Zhang1,2, Bing Hou1,2,*, Huiwen Pang1,2, Shan Liu1,2, Yue Zeng1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.3, pp. 471-507, 2022, DOI:10.32604/cmes.2022.020831

    Abstract China began to build its national shale gas demonstration area in 2012. The central exploration, drilling, and development technologies for medium and shallow marine shale reservoirs with less than 3,500 m of buried depth in Changning-Weiyuan, Zhaotong, and other regions had matured. In this study, we macroscopically investigated the development history of shale gas in the United States and China and compared the physical and mechanical conditions of deep and shallow reservoirs. The comparative results revealed that the main reasons for the order-ofmagnitude difference between China’s annual shale gas output and the United States could be attributed to three aspects:… More >

  • Open Access

    ARTICLE

    An Experimental Investigation on Workability and Bleeding Behaviors of Cement Pastes Doped with Nano Titanium Oxide (n-TiO2) Nanoparticles and Fly Ash

    Fatih Çelik1,*, Oğuzhan Yıldız2, Andaç Batur Çolak3, Samet Mufit Bozkır1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 135-158, 2023, DOI:10.32604/fdmp.2022.021014

    Abstract In this study, the workability of cement-based grouts containing n-TiO2 nanoparticles and fly ash has been investigated experimentally. Several characteristic quantities (including, but not limited to, the marsh cone flow time, the mini slump spreading diameter and the plate cohesion meter value) have been measured for different percentages of these additives. The use of fly ash as a mineral additive has been found to result in improvements in terms of workability behavior as expected. Moreover, if nano titanium oxide is also used, an improvement can be obtained regarding the bleeding values for the cement-based grout mixes. Using such experimental data,… More >

  • Open Access

    ARTICLE

    Plus Energy Buildings: A Numerical Case Study

    Abed Hawila1,2,3, Hala Alsalloum4, Abdelatif Merabtine1,*, Farouk Fardoun4,5, Rachid Bennacer6

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 117-134, 2023, DOI:10.32604/fdmp.2022.022151

    Abstract The feasibility of Plus Energy Building for a sample relevant case is investigated. After a literature review aimed to identify key aspects of this type of buildings, a preliminary evaluation of the thermal performance of a building constructed using conventional material is presented together with a parametric analysis of the impact of typical influential parameters. Solar domestic hot water (SDHW) and photovoltaic systems (PV) are considered in the study. Numerical simulations indicate that for the examined sample case (Beirut in Lebanon) the total annual energy need of conventional building is 87.1 kWh/y.m2 . About 49% of energy savings can be… More >

  • Open Access

    ARTICLE

    Influence of Urea Uneven Injection on the Performances of a Diesel Engine

    Chang Huang, Shuzhan Bai, Guoxiang Li*, Ke Sun*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 83-93, 2023, DOI:10.32604/fdmp.2022.021662

    Abstract The influence of heterogeneous flow injection of urea at different velocities and temperatures on NOx conversion efficiency, ammonia storage and ammonia leakage is investigated experimentally. A diesel engine employing a selective catalytic reduction (SCR) technology is considered. It is found that for a fixed injection velocity, the degree of ammonia leakage changes depending on the temperature. The higher the temperature, the faster the catalytic reduction reaction and the smaller the degree of ammonia leakage. The temperature has a great influence on the catalytic reduction reaction rate. At an injection velocity of 10000/h, the average reaction rate at 420 C is… More >

  • Open Access

    ARTICLE

    Application of Vortex Generators to Remove Heat Trapped in Closed Channels

    Alim Al Ayub Ahmed1,*, Salim Oudah Mezan2, Binyamin3, Murtadha Doghiam Abdullah4, Elena Tesleva5, Linar G. Akhmetov6, Rustem Zalilov7, Mustafa M. Kadhim8,9,10, Abduladheem Turki Jalil11,12

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 15-24, 2023, DOI:10.32604/fdmp.2022.019922

    Abstract The utilization of vortex generators to increase heat transfer from cylinders installed inside a duct is investigated. In particular, a channel containing eight cylinders with volumetric heat sources is considered for different values of the Reynolds number. The effective possibility to use vortex generators with different sizes to increase heat transfer and, consequently, reduce the surface temperature of the cylinders is examined. Also, the amount of pressure drop inside the channel due to the presence of vortex generators is considered and compared with the cases without vortex generators. The results show that although the addition of generators increases the pressure… More >

  • Open Access

    ARTICLE

    Research on the Dynamic Response of Submerged Floating Tunnels to Wave Currents and Traffic Load

    Bolin Jiang1,*, Shanshan Wu2, Min Ji1, Bo Liang3

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 159-173, 2023, DOI:10.32604/fdmp.2022.020730

    Abstract Submerged floating tunnel (SFTs) are typically subjected to complex external environmental and internal loads such as wave currents and traffic load. In this study, this problem is investigated through a finite element method able to account for fluid-structure interaction. The obtained results show that increasing the number of vehicles per unit length enhances the transverse vibrational displacements of the SFT cross sections. Under ultimate traffic load condition, one-way and two-way syntropic distributions can promote the dynamic responses of SFTs whereas two-way reverse distributions have the opposite effect. More >

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