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  • Open Access

    ARTICLE

    Sound Signal Based Fault Classification System in Motorcycles Using Hybrid Feature Sets and Extreme Learning Machine Classifiers

    T. Jayasree1,*, R. Prem Ananth2

    Sound & Vibration, Vol.54, No.1, pp. 57-74, 2020, DOI:10.32604/sv.2020.08573 - 01 March 2020

    Abstract Vehicles generate dissimilar sound patterns under different working environments. These generated sound patterns signify the condition of the engines, which in turn is used for diagnosing various faults. In this paper, the sound signals produced by motorcycles are analyzed to locate various faults. The important attributes are extracted from the generated sound signals based on time, frequency and wavelet domains which clearly describe the statistical behavior of the signals. Further, various types of faults are classified using the Extreme Learning Machine (ELM) classifier from the extracted features. Moreover, the improved classification performance is obtained by More >

  • Open Access

    ARTICLE

    Hybrid Clustering Algorithms with GRASP to Construct an Initial Solution for the MVPPDP

    Abeer I. Alhujaylan1, 2, *, Manar I. Hosny1

    CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1025-1051, 2020, DOI:10.32604/cmc.2020.08742

    Abstract Mobile commerce (m-commerce) contributes to increasing the popularity of electronic commerce (e-commerce), allowing anybody to sell or buy goods using a mobile device or tablet anywhere and at any time. As demand for e-commerce increases tremendously, the pressure on delivery companies increases to organise their transportation plans to achieve profits and customer satisfaction. One important planning problem in this domain is the multi-vehicle profitable pickup and delivery problem (MVPPDP), where a selected set of pickup and delivery customers need to be served within certain allowed trip time. In this paper, we proposed hybrid clustering algorithms More >

  • Open Access

    ARTICLE

    Conceptual Modular Design of Auto Body Frame Based on Hybrid Optimization Method

    Yonghong Zhao1, Changsheng Wang2, Huanquan Yuan1, Yongcheng Li1, Chunlai Shan2, Wenbin Hou2, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 351-376, 2020, DOI:10.32604/cmes.2020.08058 - 01 January 2020

    Abstract This article presents a systematic research methodology of modular design for conceptual auto body frame by hybrid optimization method. A modified graph-based decomposition optimization algorithm is utilized to generate an optimal BIW assembly topo model composed of “potential modules”. The consistency constraint function in collaborative optimization is extended to maximize the commonality of modules and minimize the performance loss of all car types in the same product family simultaneously. A novel screening method is employed to select both “basic structures” and “reinforcement” modules based on the dimension optimization of the manufacturing elements and the optimal More >

  • Open Access

    ARTICLE

    A Hybrid Encryption Algorithm for Security Enhancement of Wireless Sensor Networks: A Supervisory Approach to Pipelines

    Omid Mahdi Ebadati E.1, *, Farshad Eshghi2, Amin Zamani1

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 323-349, 2020, DOI:10.32604/cmes.2020.08079 - 01 January 2020

    Abstract Transmission pipelines are vulnerable to various accidents and acts of vandalism. Therefore, a reliable monitoring system is needed to secure the transmission pipelines. A wireless sensor network is a wireless network consisting of distributed devices distributed at various distances, which monitors the physical and environmental conditions using sensors. Wireless sensor networks have many uses, including the built-in sensor on the outside of the pipeline or installed to support bridge structures, robotics, healthcare, environmental monitoring, etc. Wireless Sensor networks could be used to monitor the temperature, pressure, leak detection and sabotage of transmission lines. Wireless sensor… More >

  • Open Access

    ARTICLE

    Fusion of Medical Images in Wavelet Domain: A Hybrid Implementation

    Satya Prakash Yadav1, *, Sachin Yadav2

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 303-321, 2020, DOI:10.32604/cmes.2020.08459 - 01 January 2020

    Abstract This paper presents a low intricate, profoundly energy effective MRI Images combination intended for remote visual sensor frameworks which leads to improved understanding and implementation of treatment; especially for radiology. This is done by combining the original picture which leads to a significant reduction in the computation time and frequency. The proposed technique conquers the calculation and energy impediment of low power tools and is examined as far as picture quality and energy is concerned. Reenactments are performed utilizing MATLAB 2018a, to quantify the resultant vitality investment funds and the reproduction results show that the More >

  • Open Access

    ARTICLE

    Analytic Initial Relative Orbit Solution for Angles-Only Space Rendezvous Using Hybrid Dynamics Method

    Baichun Gong1, Shuang Li1, *, Lili Zheng2, Jinglang Feng3

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 221-234, 2020, DOI:10.32604/cmes.2020.07769 - 01 January 2020

    Abstract A closed-form solution to the angles-only initial relative orbit determination (IROD) problem for space rendezvous with non-cooperated target is developed, where a method of hybrid dynamics with the concept of virtual formation is introduced to analytically solve the problem. Emphasis is placed on developing the solution based on hybrid dynamics (i.e., Clohessy-Wiltshire equations and two-body dynamics), obtaining formation geometries that produce relative orbit state observability, and deriving the approximate analytic error covariance for the IROD solution. A standard Monte Carlo simulation system based on two-body dynamics is used to verify the feasibility and evaluate the More >

  • Open Access

    ARTICLE

    Hybrid Passive/Active Vibration Control of a Loosely Connected Spacecraft System

    Xin Wang1, 2, *, Xiaokui Yue1, 2, Haowei Wen1, 2, Jianping Yuan1, 2

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 61-87, 2020, DOI:10.32604/cmes.2020.06871 - 01 January 2020

    Abstract In this paper, a hybrid passive/active vibration (HPAV) controller of a loosely connected spacecraft consisting of a servicing satellite, a target and an X-shape structure isolator is first proposed to suppress vibrations of the system when subjected to the impulsive external excitations during the on-orbit missions. The passive dynamic response of the combined system can be adjusted appropriately to achieve the desired vibration isolation performance by tuning the structural parameters of the bio-inspired X-shape structure. Moreover, the adaptive control design through dynamic scaling technique is selected as the active component to maintain high vibration isolation More >

  • Open Access

    ARTICLE

    An Improved Whale Optimization Algorithm for Feature Selection

    Wenyan Guo1, *, Ting Liu1, Fang Dai1, Peng Xu1

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 337-354, 2020, DOI:10.32604/cmc.2020.06411

    Abstract Whale optimization algorithm (WOA) is a new population-based metaheuristic algorithm. WOA uses shrinking encircling mechanism, spiral rise, and random learning strategies to update whale’s positions. WOA has merit in terms of simple calculation and high computational accuracy, but its convergence speed is slow and it is easy to fall into the local optimal solution. In order to overcome the shortcomings, this paper integrates adaptive neighborhood and hybrid mutation strategies into whale optimization algorithms, designs the average distance from itself to other whales as an adaptive neighborhood radius, and chooses to learn from the optimal solution… More >

  • Open Access

    ARTICLE

    A HYBRID CELLULAR AUTOMATON METHOD FOR STRUCTURAL TOPOLOGY OPTIMIZATION WITH MECHANICAL AND HEAT CONSTRAINTS

    Xiaolei Denga,b,c,*,† , Jin Wangd , Jinyu Zhoua, Hongcheng Shena, Zefeng Shenga, Jianglin Zhanga, Xiaowen La, Changxiong Xiea

    Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-6, 2019, DOI:10.5098/hmt.12.13

    Abstract A hybrid cellular automaton model combined with finite element method for structural topology optimization with mechanical and heat constraints is developed. The effect of thermal stress on structural optimization is taken into account. Higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The validating studies of standard testing structure for topological optimization are carried out. The structure evolution, stress evolution and thermal evolution of topology optimization with mechanical and heat constraints are investigated. The results show the developed hybrid method is more efficient for structural More >

  • Open Access

    ARTICLE

    DEVELOPMENT OF A HEAT PIPE AND GREY BASED TAGUCHI METHOD FOR MULTI-OUTPUT OPTIMIZATION TO IMPROVE THERMAL PERFORMANCE USING HYBRID NANOFLUIDS

    Mohammed Yunus*, Mohammad S. Alsoufi

    Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-8, 2019, DOI:10.5098/hmt.12.11

    Abstract Swift cooling systems, improved microprocessor chips, processors’ performance and power usage have increased production of an enormous amount of heat and high operating temperatures due to excess heat flux density in the field of microelectronics. A rapid cooling of electronic circuits and heat dissipation for the same size of pipe with the present technology as nano size circuits critically generate high heat flux beyond 100 W/cm2 is currently the challenging task with which we are presented. Cooling in the form of heat transfer should be managed using both thermal conductivity (evaporation) and phase transition (condensation)… More >

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