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  • Open Access


    Quasi Steady State Effect of Micro Vibration from Two Space Vehicles on Mixture During Thermodiffusion Experiment

    A.H. Ahadi1, M.Z. Saghir1

    FDMP-Fluid Dynamics & Materials Processing, Vol.8, No.4, pp. 397-422, 2012, DOI:10.3970/fdmp.2012.008.397

    Abstract The numerical simulations of a thermodiffusion experiment in atmospheric pressure binary mixtures of water and isopropanol subject to micro-vibrations at reduced gravity are presented. The vibrations are induced on board ISS and FOTON-M3 due to many different reasons like crew activity, spacecraft docking or operating other experiments, etc. The effects of micro-gravity vibration were investigated in detail on all of the mixture properties. The influences of different cavity sizes as well as different signs of Soret coefficients in the solvent were considered. In this paper, the thermodiffusion experiment was subjected to two different g-jitter vibrations on board ISS and FOTON-M3… More >

  • Open Access


    Design of Working Model of Steering, Accelerating and Braking Control for Autonomous Parking Vehicle

    P. K. Shyamshankar1, S. Rajendraboopathy2, R. S. Bhuvaneswaran1,*

    CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 55-68, 2019, DOI:10.32604/cmc.2019.07761

    Abstract Now a days, the number of vehicles especially cars are increased day by day and the people expect sophistication with safety and they wish automation for the perfection by reducing their effort and to prevent damage from collision of the vehicle. Parking the vehicle has always been a big task for the drivers that lead to problems such as traffic, congestion, accident, pollution etc. In order to overcome the parking problem, an automatic steering, braking and accelerating system is proposed to park a vehicle in a stipulated area and also to enhance the parking in a safety and secured way.… More >

  • Open Access


    An Efficient Greedy Traffic Aware Routing Scheme for Internet of Vehicles

    Belghachi Mohammed1,*, Debab Naouel1

    CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 959-972, 2019, DOI:10.32604/cmc.2019.07580

    Abstract A new paradigm of VANET has emerged in recent years: Internet of Vehicles (IoV). These networks are formed on the roads and streets between travellers who have relationships, interactions and common social interests. Users of these networks exchange information of common interest, for example, traffic jams and dangers on the way. They can also exchange files such as multimedia files. IoV is considered as part of the Internet of Things (IoT) where objects are vehicles, which can create a multitude of services dedicated to the intelligent transportation system. The interest is to permit to all connected vehicles to communicate with… More >

  • Open Access


    A Multi-Objective Decision-Making Approach for the Optimal Location of Electric Vehicle Charging Facilities

    Weiwei Liu1, Yang Tang2, Fei Yang2, Yi Dou3, Jin Wang4,*

    CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 813-834, 2019, DOI:10.32604/cmc.2019.06754

    Abstract Electric vehicles (EVs) are recognized as one of the most promising technologies worldwide to address the fossil fuel energy resource crisis and environmental pollution. As the initial work of EV charging station (EVCS) construction, site selection plays a vital role in its whole life cycle. In this paper, a multi-objective optimization model for the location layout of EVCSs is established when considering various factors such as user demand, investment cost, soil locations, the emergency charging mileage limit, the actual road condition and service network reliability. The model takes the minimum investment cost and the minimum user charging cost as the… More >

  • Open Access


    A Fair Blind Signature Scheme to Revoke Malicious Vehicles in VANETs

    Xiaoliang Wang1,*, Jianming Jiang1,2, Shujing Zhao1, Liang Bai1

    CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 249-262, 2019, DOI:10.32604/cmc.2019.04088

    Abstract With the rapid development of IoT (Internet of Things), VANETs (Vehicular Ad-Hoc Networks) have become an attractive ad-hoc network that brings convenience into people’s lives. Vehicles can be informed of the position, direction, speed and other real-time information of nearby vehicles to avoid traffic jams and accidents. However, VANET environments could be dangerous in the absence of security protection. Because of the openness and self-organization of VANETs, there are plenty of malicious pathways. To guarantee vehicle security, the research aims to provide an effective VANET security mechanism that can track malicious vehicles as necessary. Therefore, this work focuses on malicious… More >

  • Open Access


    Research on Operation of UAVs in Non-isolated Airspace

    Zhaoyue Zhang1, *, Jing Zhang2, Peng Wang1, Lei Chen3

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 151-166, 2018, DOI:10.32604/cmc.2018.02890

    Abstract In order to explore the safe operation of UAVs in non-segregated airspace, a collision risk model for cylindrical UAVs based on conflict areas was constructed and the risk of conflict between manned and unmanned aerial vehicles was researched. According to the results of risk analysis, a strategy for solving the conflict of aircraft is proposed, and the risk assessment experiment of unmanned aerial vehicle (UAV) in non-isolated airspace conflict is carried out. The results show that under the experimental conditions, large unmanned aerial vehicles equipped with ADS-B, TCAS and other airborne sensing systems will indeed interfere with other aircraft in… More >

  • Open Access


    Multi-task Joint Sparse Representation Classification Based on Fisher Discrimination Dictionary Learning

    Rui Wang1, Miaomiao Shen1,*, Yanping Li1, Samuel Gomes2

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 25-48, 2018, DOI:10.32604/cmc.2018.02408

    Abstract Recently, sparse representation classification (SRC) and fisher discrimination dictionary learning (FDDL) methods have emerged as important methods for vehicle classification. In this paper, inspired by recent breakthroughs of discrimination dictionary learning approach and multi-task joint covariate selection, we focus on the problem of vehicle classification in real-world applications by formulating it as a multi-task joint sparse representation model based on fisher discrimination dictionary learning to merge the strength of multiple features among multiple sensors. To improve the classification accuracy in complex scenes, we develop a new method, called multi-task joint sparse representation classification based on fisher discrimination dictionary learning, for… More >

  • Open Access


    Ionic Polymer Metal Composite Flapping Actuator Mimicking Dragonflies

    Sujoy Mukherjee1, Ranjan Ganguli1,2

    CMC-Computers, Materials & Continua, Vol.19, No.2, pp. 105-134, 2010, DOI:10.3970/cmc.2010.019.105

    Abstract In this study, variational principle is used for dynamic modeling of an Ionic Polymer Metal Composite (IPMC) flapping wing. The IPMC is an Electro-active Polymer (EAP) which is emerging as a useful smart material for `artificial muscle' applications. Dynamic characteristics of IPMC flapping wings having the same size as the actual wings of three different dragonfly species Aeshna Multicolor, Anax Parthenope Julius and Sympetrum Frequens are analyzed using numerical simulations. An unsteady aerodynamic model is used to obtain the aerodynamic forces. A comparative study of the performances of three IPMC flapping wings is conducted. Among the three species, it is… More >

  • Open Access


    Interval-Based Uncertain Multi-Objective Optimization Design of Vehicle Crashworthiness

    F.Y.Li1,2, G.Y.Li1

    CMC-Computers, Materials & Continua, Vol.15, No.3, pp. 199-220, 2010, DOI:10.3970/cmc.2010.015.199

    Abstract In this paper, an uncertain multi-objective optimization method is suggested to deal with crashworthiness design problem of vehicle, in which the uncertainties of the parameters are described by intervals. Considering both lightweight and safety performance, structural weight and peak acceleration are selected as objectives. The occupant distance is treated as constraint. Based on interval number programming method, the uncertain optimization problem is transformed into a deterministic optimization problem. The approximation models are constructed for objective functions and constraint based on Latin Hypercube Design (LHD). Thus, the interval number programming method is combined with the approximation model to solve the uncertain… More >

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