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  • Open Access

    ARTICLE

    Fin Field Effect Transistor with Active 4-Bit Arithmetic Operations in 22 nm Technology

    S. Senthilmurugan1,*, K. Gunaseelan2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1323-1336, 2023, DOI:10.32604/iasc.2023.027650 - 19 July 2022

    Abstract A design of a high-speed multi-core processor with compact size is a trending approach in the Integrated Circuits (ICs) fabrication industries. Because whenever device size comes down into narrow, designers facing many power density issues should be reduced by scaling threshold voltage and supply voltage. Initially, Complementary Metal Oxide Semiconductor (CMOS) technology supports power saving up to 32 nm gate length, but further scaling causes short severe channel effects such as threshold voltage swing, mobility degradation, and more leakage power (less than 32) at gate length. Hence, it directly affects the arithmetic logic unit (ALU),… More >

  • Open Access

    ARTICLE

    Magnetic Wakame-Based Biochar/Ni Composites with Enhanced Adsorption Performance for Diesel

    Hua Jing1, Shiyao Lu1, Lili Ji1,*, Shijie Li1, Baikang Zhu2, Jian Guo3, Jiaxing Sun1, Lu Cai4, Yaning Wang1

    Journal of Renewable Materials, Vol.10, No.12, pp. 3147-3165, 2022, DOI:10.32604/jrm.2022.020215 - 14 July 2022

    Abstract In this study, the magnetic wakame biochar/Ni composites were prepared with three activating reagents of H3PO4, ZnCl2 and KOH by one-step pyrolysis activation, characterized by BET, SEM, TEM, FI-IR, XRD, Raman, and elemental analyzer, and their adsorption performance for diesel were also analyzed. The results showed that wakame biochar/Ni composites had larger specific surface area, abundant porous structure, and various reactive groups, rendering its enhancement of adsorption efficiency. The adsorption experiments indicated that the maximum adsorption capacities for diesel using WBPA 0.5, WBHZ 0.5 and WBPH 0.5 were 4.11, 8.83, and 13.47 g/g, respectively. The Langmuir More >

  • Open Access

    ARTICLE

    CO2 and Cost-Based Optimum Design of Sustainable Metakaolin-Modified Concrete

    Xiaoyong Wang*

    Journal of Renewable Materials, Vol.10, No.9, pp. 2431-2450, 2022, DOI:10.32604/jrm.2022.020829 - 30 May 2022

    Abstract Metakaolin is a highly reactive pozzolanic material that is widely utilized for enhancing the performance of concrete. This study offers a framework for the mixture design of sustainable metakaolin-modified concrete with low CO2 emissions and low costs. Different design strengths after 28 days are first formulated, with values such as 30, 40, 50, and 60 MPa. A genetic algorithm is then used to determine the optimal mixtures. Minimized CO2 and cost are set as the aims of the genetic algorithm. The strength of the concrete, its workability (slump), and carbonation service life with climate change are set… More >

  • Open Access

    ARTICLE

    Study on a Gas Plunger Lift Model for Shale Gas Wells and Its Effective Application

    Peng Liu1, Man Chen1, Zhiguo He1, Wei Luo2,3,*, Shiyu Miao2,3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 933-955, 2022, DOI:10.32604/fdmp.2022.019736 - 06 April 2022

    Abstract The problem of efficient gas lift for gas well annulus packers that rely on their own energy plungers is considered. The complex related gas-liquid problem is addressed in the frame of model where the gas inflow dynamics and liquid inflow dynamics of the considered shale gas wells are weakly coupled. On this basis, and with the aiding support of indoor simulation experimental data, a new gas plunger lift design taking into account liquid leakage is obtained. Finally, a dedicated software relying on this approach is developed and used to verify the reliability of the model More >

  • Open Access

    ARTICLE

    Simulation Analysis of Ammonia Leakage and Dispersion in a Large-Scale Refrigeration System

    Jianlu Cheng1, Kaiyong Hu1,*, Jiang Shen1, Lu Jia1,2, Rui Niu1, Zhaoxian Yang3

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 1049-1066, 2022, DOI:10.32604/fdmp.2022.019007 - 06 April 2022

    Abstract The use of ammonia in large-scale refrigeration systems (such as those used for a stadium) requires adequate ammonia leakage prevention mechanisms are put in place. In the present study, numerical simulations have been conducted to study the dispersion law in the ammonia machinery room of the refrigeration system for the 2022 Beijing Winter Olympics. The wind speed, and release location have been varied to investigate their effects on the dispersion profile. Different positions of the leakage points in the ammonia storage tank have been found to lead to different areas affected accordingly. In general, the More >

  • Open Access

    ARTICLE

    Influences of Multi-Component Supplementary Cementitious Materials on the Performance of Metakaolin Based Geopolymer

    Wu Jing1,2,#, Ren Luo3,#, Sha Ding2, Ping Duan3,4,5,6,7,*

    Journal of Renewable Materials, Vol.10, No.7, pp. 1813-1828, 2022, DOI:10.32604/jrm.2022.018771 - 07 March 2022

    Abstract In this study, the workability and reaction mechanism of metakaolin (MK) based geopolymer blended with rice husk ash (RHA) and silica fume (SF) was investigated. The prepared samples were subjected to tests including compressive strength and fluidity tests. X-ray diffraction (XRD) and Scanning electron microscope (SEM) were employed to explore the phase composition and microstructure of geopolymers. The molecular bonding information of geopolymer was provided by Fourier transform infrared spectroscopy (FTIR). Meanwhile, the porosity of geopolymer was obtained by Mercury intrusion porosimeter (MIP) analysis. The high-activity RHA obtained after calcination at 600°C was used as More > Graphic Abstract

    Influences of Multi-Component Supplementary Cementitious Materials on the Performance of Metakaolin Based Geopolymer

  • Open Access

    ARTICLE

    Defect Prediction Using Akaike and Bayesian Information Criterion

    Saleh Albahli1,*, Ghulam Nabi Ahmad Hassan Yar2

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 1117-1127, 2022, DOI:10.32604/csse.2022.021750 - 10 November 2021

    Abstract Data available in software engineering for many applications contains variability and it is not possible to say which variable helps in the process of the prediction. Most of the work present in software defect prediction is focused on the selection of best prediction techniques. For this purpose, deep learning and ensemble models have shown promising results. In contrast, there are very few researches that deals with cleaning the training data and selection of best parameter values from the data. Sometimes data available for training the models have high variability and this variability may cause a… More >

  • Open Access

    ARTICLE

    Takagi–Sugeno Fuzzy Modeling and Control for Effective Robotic Manipulator Motion

    Izzat Al-Darraji1,2, Ayad A. Kakei2, Ayad Ghany Ismaeel3, Georgios Tsaramirsis4, Fazal Qudus Khan5, Princy Randhawa6, Muath Alrammal4, Sadeeq Jan7,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1011-1024, 2022, DOI:10.32604/cmc.2022.022451 - 03 November 2021

    Abstract Robotic manipulators are widely used in applications that require fast and precise motion. Such devices, however, are prompt to nonlinear control issues due to the flexibility in joints and the friction in the motors within the dynamics of their rigid part. To address these issues, the Linear Matrix Inequalities (LMIs) and Parallel Distributed Compensation (PDC) approaches are implemented in the Takagy–Sugeno Fuzzy Model (T-SFM). We propose the following methodology; initially, the state space equations of the nonlinear manipulator model are derived. Next, a Takagy–Sugeno Fuzzy Model (T-SFM) technique is used for linearizing the state space More >

  • Open Access

    Preserving Privacy of User Identity Based on Pseudonym Variable in 5G

    Mamoon M. Saeed1, Mohammad Kamrul Hasan2,*, Rosilah Hassan2 , Rania Mokhtar3 , Rashid A. Saeed3,4, Elsadig Saeid1, Manoj Gupta5

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5551-5568, 2022, DOI:10.32604/cmc.2022.017338 - 11 October 2021

    Abstract

    The fifth generation (5G) system is the forthcoming generation of the mobile communication system. It has numerous additional features and offers an extensively high data rate, more capacity, and low latency. However, these features and applications have many problems and issues in terms of security, which has become a great challenge in the telecommunication industry. This paper aimed to propose a solution to preserve the user identity privacy in the 5G system that can identify permanent identity by using Variable Mobile Subscriber Identity, which randomly changes and does not use the permanent identity between the user

    More >

  • Open Access

    ARTICLE

    Automatic Classification of Superimposed Modulations for 5G MIMO Two-Way Cognitive Relay Networks

    Haithem Ben Chikha, Ahmad Almadhor*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1799-1814, 2022, DOI:10.32604/cmc.2022.018819 - 07 September 2021

    Abstract To promote reliable and secure communications in the cognitive radio network, the automatic modulation classification algorithms have been mainly proposed to estimate a single modulation. In this paper, we address the classification of superimposed modulations dedicated to 5G multiple-input multiple-output (MIMO) two-way cognitive relay network in realistic channels modeled with Nakagami- distribution. Our purpose consists of classifying pairs of users modulations from superimposed signals. To achieve this goal, we apply the higher-order statistics in conjunction with the MultiBoostAB classifier. We use several efficiency metrics including the true positive (TP) rate, false positive (FP) rate, precision,… More >

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