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  • Open Access

    ARTICLE

    Model Predictive Control for Nonlinear Energy Management of a Power Split Hybrid Electric Vehicle

    Dehua Shi1,4, Shaohua Wang1,2,*, Yingfeng Cai1, Long Chen1, ChaoChun Yuan1, ChunFang Yin3

    Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 27-39, 2020, DOI:10.31209/2018.100000062

    Abstract Model predictive control (MPC), owing to the capability of dealing with nonlinear and constrained problems, is quite promising for optimization. Different MPC strategies are investigated to optimize HEV nonlinear energy management for better fuel economy. Based on Bellman’s principle, dynamic programming is firstly used in the limited horizon to obtain optimal solutions. By considering MPC as a nonlinear programming problem, sequential quadratic programming (SQP) is used to obtain the descent directions of control variables and the current control input is further derived. To reduce computation and meet the requirements of real-time control, the nonlinear model More >

  • Open Access

    ARTICLE

    Research on Vehicle Routing Problem with Soft Time Windows Based on Hybrid Tabu Search and Scatter Search Algorithm

    Jinhui Ge1, Xiaoliang Liu2, *, Guo Liang3

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1945-1958, 2020, DOI:10.32604/cmc.2020.010977 - 30 June 2020

    Abstract With the expansion of the application scope of social computing problems, many path problems in real life have evolved from pure path optimization problems to social computing problems that take into account various social attributes, cultures, and the emotional needs of customers. The actual soft time window vehicle routing problem, speeding up the response of customer needs, improving distribution efficiency, and reducing operating costs is the focus of current social computing problems. Therefore, designing fast and effective algorithms to solve this problem has certain theoretical and practical significance. In this paper, considering the time delay… More >

  • Open Access

    ARTICLE

    Location Distribution Characteristics in Leaf Lateral Asymmetry of Hybrid Indica Rice

    Jie Li1,2, Yuehua Feng1,3,*, Jinfeng Peng1, Xiaoke Wang1, Dinghua Yang2, Guiling Xu1

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 657-666, 2020, DOI:10.32604/phyton.2020.010969 - 22 June 2020

    Abstract Rice leaves show lateral asymmetry. Differences in width, thickness, chlorophyll meter readings, nitrogen content, density, and yield on each asymmetrical have been reported. However, limited information is available on the distribution characteristics of the smooth side (SS) and rough side (RS) of rice leaves. The SS of rice leaves can be divided into two types according to its location in leaf: one is the smooth side appearing on the left (SSAL) of the leaf, while the smooth side of the other type appears on the right (SSAR). Through the investigation of four rice varieties, we… More >

  • Open Access

    ARTICLE

    A Hybrid Method of Coreference Resolution in Information Security

    Yongjin Hu1, Yuanbo Guo1, Junxiu Liu2, Han Zhang3, *

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1297-1315, 2020, DOI:10.32604/cmc.2020.010855 - 10 June 2020

    Abstract In the field of information security, a gap exists in the study of coreference resolution of entities. A hybrid method is proposed to solve the problem of coreference resolution in information security. The work consists of two parts: the first extracts all candidates (including noun phrases, pronouns, entities, and nested phrases) from a given document and classifies them; the second is coreference resolution of the selected candidates. In the first part, a method combining rules with a deep learning model (Dictionary BiLSTM-Attention-CRF, or DBAC) is proposed to extract all candidates in the text and classify… More >

  • Open Access

    ARTICLE

    Image Segmentation of Brain MR Images Using Otsu’s Based Hybrid WCMFO Algorithm

    A. Renugambal1, *, K. Selva Bhuvaneswari2

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 681-700, 2020, DOI:10.32604/cmc.2020.09519 - 10 June 2020

    Abstract In this study, a novel hybrid Water Cycle Moth-Flame Optimization (WCMFO) algorithm is proposed for multilevel thresholding brain image segmentation in Magnetic Resonance (MR) image slices. WCMFO constitutes a hybrid between the two techniques, comprising the water cycle and moth-flame optimization algorithms. The optimal thresholds are obtained by maximizing the between class variance (Otsu’s function) of the image. To test the performance of threshold searching process, the proposed algorithm has been evaluated on standard benchmark of ten axial T2-weighted brain MR images for image segmentation. The experimental outcomes infer that it produces better optimal threshold values… More >

  • Open Access

    ARTICLE

    Single Failure Routing Protection Algorithm in the Hybrid SDN Network

    Haijun Geng1, Jiangyuan Yao2, *, Yangyang Zhang3

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 665-679, 2020, DOI:10.32604/cmc.2020.09912 - 20 May 2020

    Abstract Loop free alternate (LFA) is a routing protection scheme that is currently deployed in commercial routers. However, LFA cannot handle all single network component failure scenarios in traditional networks. As Internet service providers have begun to deploy software defined network (SDN) technology, the Internet will be in a hybrid SDN network where traditional and SDN devices coexist for a long time. Therefore, this study aims to deploy the LFA scheme in hybrid SDN network architecture to handle all possible single network component failure scenarios. First, the deployment of LFA scheme in a hybrid SDN network More >

  • Open Access

    ARTICLE

    Manufacturing Process Selection of “Green” Oil Palm Natural Fiber Reinforced Polyurethane Composites Using Hybrid TEA Criteria Requirement and AHP Method for Automotive Crash Box

    N. S. B. Yusof1,2, S. M. Sapuan1,3,*, M. T. H. Sultan1,4, M. Jawaid1

    Journal of Renewable Materials, Vol.8, No.6, pp. 647-660, 2020, DOI:10.32604/jrm.2020.08309 - 12 May 2020

    Abstract In this study, the best manufacturing process will be selected to build an automotive crash box using green oil palm natural fibre-reinforced polyurethane composite materials. This paper introduces an approach consist of technical aspects (T), the economic point of view (E) and availability (A), and it’s also called as TEA requirement. This approach was developed with the goal of assisting the design engineer in the selection of the best manufacturing process during the design phase at the criteria selection stage. In this study, the TEA requirement will integrate with the analytical hierarchy process (AHP) to… More >

  • Open Access

    ARTICLE

    GTK: A Hybrid-Search Algorithm of Top-Rank-k Frequent Patterns Based on Greedy Strategy

    Yuhang Long1, Wensheng Tang1, *, Bo Yang1, *, Xinyu Wang2, Hua Ma1, Hang Shi1, Xueyu Cheng3

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1445-1469, 2020, DOI:10.32604/cmc.2020.09944 - 30 April 2020

    Abstract Currently, the top-rank-k has been widely applied to mine frequent patterns with a rank not exceeding k. In the existing algorithms, although a level-wise-search could fully mine the target patterns, it usually leads to the delay of high rank patterns generation, resulting in the slow growth of the support threshold and the mining efficiency. Aiming at this problem, a greedy-strategy-based top-rank-k frequent patterns hybrid mining algorithm (GTK) is proposed in this paper. In this algorithm, top-rank-k patterns are stored in a static doubly linked list called RSL, and the patterns are divided into short patterns and long… More >

  • Open Access

    ARTICLE

    Conceptual Design of Natural Fiber Composites as a Side-Door Impact Beam Using Hybrid Approach

    M. A. Shaharuzaman1,2,3, S. M. Sapuan1,4,*, M. R. Mansor2,3, M. Y. M. Zuhri1,4

    Journal of Renewable Materials, Vol.8, No.5, pp. 549-563, 2020, DOI:10.32604/jrm.2020.08769 - 29 April 2020

    Abstract This paper presents the conceptual design stage in the product development process of a natural fiber composites of the side-door impact beam, which starts from idea generation to the selection of the best design concept. This paper also demonstrates the use of the integrated Theory of Inventive Problem Solving (Function-Oriented Search) (TRIZ (FOS)) and Biomimetics method, as well as the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. The aim of this study was to generate design concepts that were inspired by nature and to select the best design concept for the composite side-door impact beam.… More >

  • Open Access

    ARTICLE

    Sunflower-Like SrCo2S4@f-MWCNTs Hybrid Wrapped by Engineering N-Reduced Graphene Oxide for High Performance Dye-Sensitized Solar Cells

    Weiming Zhang1, Muhammad Wasim Khan1, Xueqin Zuo1, Qun Yang1, Huaibao Tang1,2, Shaowei Jin1,2, Guang Li1,2,3,*

    Journal of Renewable Materials, Vol.8, No.4, pp. 431-446, 2020, DOI:10.32604/jrm.2020.09158 - 24 April 2020

    Abstract A novel sunflower-like nanocomposite of SrCo2S4 nanoflakes and functionalized multiwall carbon nanotubes (f-MWCNTs) entanglement enveloped in nitrogen-reduced graphene oxide (N-RGO) is prepared by a cheap process. The unique entanglement structure of the material exhibits higher specific surface area, better electrical conductivity and other properties. This helps to reduce the transfer resistance in the photoelectric process of the battery and improve the electrochemical activity, thus increasing the photoelectric conversion efficiency of the battery. The new ternary cobalt-based sulfide material can replace platinum as the counter electrode (CE) material loaded on dye-sensitized solar cells (DSSCs). DSSCs with SrCo2S4@f-MWCNTs@N-RGO More >

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