Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1,768)
  • Open Access

    ARTICLE

    Sawdust Short Fiber Reinforced Epoxidized Natural Rubber: Insight on Its Mechanical, Physical, and Thermal Aspects

    O. S. Dahham1, N. Z. Noriman1,2,*, H. Jaya1, R. Hamzah1, M. U. Umar2,3, I. Johari4

    Journal of Renewable Materials, Vol.8, No.12, pp. 1633-1645, 2020, DOI:10.32604/jrm.2020.011377 - 12 November 2020

    Abstract In this work, Epoxidized natural rubber/sawdust short fiber (ENR-50/ SD) composites at different fiber content (5, 10, 15 and 20 phr) and size (fine size at 60–100 μm and coarse size at 10–20 mm) were prepared using two-roll mill and electrical-hydraulic hot press machine respectively. Curing characteristics, water uptake, tensile, morphological, physical, and thermal properties of the composites were investigated. Results indicated that the scorch time and cure time became shorter whereas torque improved as SD content increase. Though the decline of tensile strength and elongation at break values, modulus, hardness and crosslinking density have More >

  • Open Access

    ARTICLE

    Design and Implementation of Log Data Analysis Management System Based on Hadoop

    Dunhong Yao1,2,3,*, Yu Chen4

    Journal of Information Hiding and Privacy Protection, Vol.2, No.2, pp. 59-65, 2020, DOI:10.32604/jihpp.2020.010223 - 11 November 2020

    Abstract With the rapid development of the Internet, many enterprises have launched their network platforms. When users browse, search, and click the products of these platforms, most platforms will keep records of these network behaviors, these records are often heterogeneous, and it is called log data. To effectively to analyze and manage these heterogeneous log data, so that enterprises can grasp the behavior characteristics of their platform users in time, to realize targeted recommendation of users, increase the sales volume of enterprises’ products, and accelerate the development of enterprises. Firstly, we follow the process of big… More >

  • Open Access

    ARTICLE

    Location Related Signals with Satellite Image Fusion Method Using Visual Image Integration Method

    G. Ravikanth1,∗, K. V. N. Sunitha2,†, B. Eswara Reddy3

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 385-393, 2020

    Abstract Investigations were performed on a group utilizing (General Purpose Unit) GPU and executions were evaluated for the utilization of the created parallel usages to process satellite pictures from satellite Landsat7.The usage on a realistic group gives execution change from 2 to 18 times. The nature of the considered techniques was assessed by relative dimensionless global error in synthesis (ERGAS) and Quality Without Reference (QNR) measurements. The outcomes demonstrate execution picks ups and holding of value with the bunch of GPU contrasted with the outcomes and different analysts for a CPU and single GPU. The errand… More >

  • Open Access

    REVIEW

    The Effect of Carnitine Supplementation on Left Ventricular Function: Lessons from Current Evidence and Insights for Future Studies

    Rohit S. Loomba1,2, Enrique G. Villarreal3,*, Riddhi Patel1, Samantha Udarbe1, Vincent Dorsey1, Kristen Nelson-McMillan1,4, Saul Flores5,6

    Congenital Heart Disease, Vol.15, No.6, pp. 447-455, 2020, DOI:10.32604/CHD.2020.012927 - 02 November 2020

    Abstract Introduction: In children, data on the effects on carnitine supplementation and myocardial function are limited. A few studies have investigated the relationship between serum carnitine levels in the setting of depressed cardiac function and have demonstrated possible benefits. As such, this systematic review and meta-analyses aimed to assess the effects carnitine supplementation on left ventricular function. Materials and Methods: A systematic review of the literature was performed to identify full text manuscripts in English. PubMed, EMBASE, and the Cochrane databases were queried. Studies were included with data from pediatric patients, that used carnitine supplementation and included preand… More >

  • Open Access

    ARTICLE

    Design of Nonlinear Uncertainty Controller for Grid-Tied Solar Photovoltaic System Using Sliding Mode Control

    D. Menaga1, M. Premkumar2, R. Sowmya1,*, S. Narasimman3

    Energy Engineering, Vol.117, No.6, pp. 481-495, 2020, DOI:10.32604/EE.2020.013282 - 16 October 2020

    Abstract The proposed controller accompanies with different sliding surfaces. To understand maximum power point extraction as opposed to nonlinear uncertainties and unknown disturbance of a grid-connected photovoltaic system to various control inputs (ud, uq) is designed. To extract maximum power from a solar array and maintain unity power flow in a grid by controlling the voltage across the dclink capacitor (Vpvdc) and reactive current (iq). A multiple input-output with multiple uncertainty constraints have considered designing proposed sliding mode controllers to validated their robustness performance. An innovative controller verifies uncertain inputs, constant and changes in irradiances, and temperature of More >

  • Open Access

    ARTICLE

    Design and Implementation of Open Source Online Evaluation System Based on Cloud Platform

    Zuwei Tian*, Shubo Tian, Tuo Wang, Zhen Gong, Zhenqin Jiang

    Journal on Big Data, Vol.2, No.3, pp. 117-123, 2020, DOI:10.32604/jbd.2020.011420 - 13 October 2020

    Abstract In order to provide a good practice platform for the program design contestants and algorithm enthusiasts, this paper designs and implements a programming online evaluation system based on cloud platform, which is a web system that can return the test results of the program source codes submitted by users in real time. It realizes the automatic evaluation of the program design training questions. The system is implemented by the way of front-end and backend separation and modular programming. The front-end of the web is implemented by Vue framework, the back-end is implemented by Django framework. More >

  • Open Access

    ARTICLE

    On the Design and Optimization of a Clean and Efficient Combustion Mode for Internal Combustion Engines through a Computer NSGA-II Algorithm

    Xiaobin Shu, Miaomiao Ren*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 1019-1029, 2020, DOI:10.32604/fdmp.2020.09564 - 09 October 2020

    Abstract In order to address typical problems due to the huge demand of oil for consumption in traditional internal combustion engines, a new more efficient combustion mode is proposed and studied in the framework of Computational Fluid Dynamics (CFD). Moreover, a Non-dominated Sorting Genetic Algorithm (NSGA-II) is applied to optimize the related parameters, namely, the engine methanol ratio, the fuel injection time, the initial temperature, the Exhaust Gas Re-Circulation (EGR) rate, and the initial pressure. The so-called Conventional Diesel Combustion (CDC), Homogeneous Charge Compression Ignition (HCCI) and the Reactivity Controlled Compression Ignition (RCCI) combustion modes are… More >

  • Open Access

    ARTICLE

    Detection of the Spectrum Hole from N-number of Primary Users Using the Gencluster Algorithm

    U. Venkateshkumar1,*, S. Ramakrishnan2

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 817-830, 2020, DOI:10.32604/iasc.2020.010116

    Abstract A hybrid form of the genetic algorithm and the modified K-Means cluster algorithm forms as a Gencluster to detect a spectrum hole among n-number of primary users (PUs) is present in the cooperative spectrum sensing model. The fusion center (FC), applies the genetic algorithm to identify the best chromosome, which contains many PUs cluster centers and by applying the modified K-Means cluster algorithm identifies the cluster with the PU vacant spectrum showing high accuracy, and maximum probability of detection with minimum false alarm rates are achieved. The graphical representation of the performance metric of the More >

  • Open Access

    ARTICLE

    Design of the Sports Training Decision Support System Based on the Improved Association Rule, the Apriori Algorithm

    Xinbao Wang*, Dawu Huang, Xuemin Zhao

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 755-763, 2020, DOI:10.32604/iasc.2020.010110

    Abstract In order to improve the judgment decision ability of the sports training effect, a design method of the sports training decision support system based on the improved association rule, the Apriori algorithm is proposed, and a phase space model of the sports training decision support data association rule distribution is constructed. The association rule mining method is used to support the data mining model of sports training, and the decision judgment of the sports training effect is carried out in the mixed cloud computing environment. The fuzzy information fusion and the data structure feature reorganization… More >

  • Open Access

    EDITORIAL

    Special Section on Emerging Challenges in Computational Intelligence for Signal Processing Applications

    B. Nagaraj1,*, Danilo Pelusi2, Joy I.-Z. Chen3

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 737-739, 2020, DOI:10.32604/iasc.2020.010107

    Abstract This article has no abstract. More >

Displaying 1261-1270 on page 127 of 1768. Per Page