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  • Open Access

    ARTICLE

    ADL-RAID: Energy-Saving Data Layout for Dynamic Loads

    Youxi Wu1,2, Shengyuan Shi1,2, Jingyu Liu1,2,*, Huaizhong Zhu1,2

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 309-316, 2018, DOI:10.32604/csse.2018.33.309

    Abstract With the rapid development of information technology and the explosive growth of data, the scale of storage equipment is growing rapidly. The high energy consumption storage devices have become a serious problem for data centers. For data storage, the model of sequential data access a storage system is commonly used. Aiming at the characteristics of a sequential data storage system, this paper, we propose a structure, named Adapted to Dynamic Load based on Redundant Array Independent Disks (ADL-RAID) which is an effective energy-saving data layout for dynamic loads based on the existing Semi-Redundant Array Independent… More >

  • Open Access

    ARTICLE

    A Multi Criterion Fuzzy Based Energy Efficient Routing Protocol for Ad hoc Networks

    Geetha N., Sankar A.

    Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 711-719, 2018, DOI:10.1080/10798587.2017.1309003

    Abstract The routing protocol for an ad hoc network should be efficient in utilizing the available resources to prolong the network lifetime. A Multi Criterion Fuzzy based Energy Efficient Routing Protocol (MCFEER) for Ad hoc Networks selects the path on constraints like bandwidth, battery life, hop count and buffer occupancy. In the route discovery phase, fuzzy system is applied for optimal route selection by destination node leading to successful data transmission. Multiple stable paths are preserved in route cache for usage during the route maintenance phase. The results are competitive when compared with Power aware Energy More >

  • Open Access

    ARTICLE

    Simulation and Data Analysis of Energy Recovery Sensing on a Parallel Hydraulic Hybrid Crane

    Youquan Chen, Xinhui Liu, Xin Wang, Jinshi Chen

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 613-622, 2018, DOI:10.31209/2018.100000028

    Abstract In order to study the braking energy regeneration characteristics of the Frontmounted Parallel Hydraulic Hybrid Crane (FPHHC), the AMESim simulation models are established and analyzed by establishing the vehicle dynamics model and referencing to the actual data of the crane and physical hydraulic components, the simulation results are verified by road tests on the experimental prototype. The experiment results basically match with the simulation results. In the vehicle braking process, the hydraulic hybrid system of the experimental prototype can effectively recycle the vehicle braking energy, the energy recovery rate is up to 50.84%, and the More >

  • Open Access

    ARTICLE

    Application of Multi Agent Systems in Automation of Distributed Energy Management in Micro-grid using MACSimJX

    Leo Rajua, R. S. Miltonb, Senthilkumaran Mahadevana

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 483-491, 2018, DOI:10.1080/10798587.2017.1305647

    Abstract The objective of this paper is to monitor and control a micro-grid model developed in MATLABSimulink through Multi Agent System (MAS) for autonomous and distributed energy management. Since MATLAB/Simulink is not compatible with parallel operations of MAS, MAS operating in Java Agent Development Environment (JADE) is linked with MATLAB/Simulink through Multi Agent Control using Simulink with Jade extension (MACSimJX). This allows the micro-grid system designed with Simulink to be controlled by MAS for realizing the advantages of MAS in distributed and decentralized microgrid systems. JADE agents receive environmental information through Simulink and they coordinate to More >

  • Open Access

    ARTICLE

    Gender Recognition Based on Computer Vision System

    Li-Hong Juanga, Ming-Ni Wub, Shin-An Linb

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 249-256, 2018, DOI:10.1080/10798587.2016.1272777

    Abstract Detecting human gender from complex background, illumination variations and objects under computer vision system is very difficult but important for an adaptive information service. In this paper, a preliminary design and some experimental results of gender recognition will be presented from the walking movement that utilizes the gait-energy image (GEI) with denoised energy image (DEI) pre-processing as a machine learning support vector machine (SVM) classifier to train and extract its characteristics. The results show that the proposed method can adopt some characteristic values and the accuracy can reach up to 100% gender recognition rate under More >

  • Open Access

    ARTICLE

    Circumferential variation in mechanical characteristics of porcine descending aorta

    LINGFENG CHEN1,2,3, ZHIPENG GAO1,2,3, BAIMEI LIU1,2,3, YING LV1,2,3, MEIWEN AN1,2,3,*, JILING FENG4,*

    BIOCELL, Vol.42, No.1, pp. 25-34, 2018, DOI:10.32604/biocell.2018.06114

    Abstract Arterial characterization of healthy descending thoracic aorta (DTA) is indispensable in determining stress distributions across wall thickness and different regions that may be responsible for aorta inhomogeneous dilation, rupture, and dissection when aneurysm occurs. Few studies have shown the inhomogeneity of DTA along the aorta tree considering changes in circumferential direction. The present study aims to clarify the circumferential regional characterization of DTA. Porcine DTA tissues were tested according to region and orientation using uniaxial tension. For axial test, results show that the difference in circumferential direction was mainly in collagen fiber modulus, where the… More >

  • Open Access

    ARTICLE

    An Image Classification Method Based on Deep Neural Network with Energy Model

    Yang Yang1,*, Jinbao Duan1, Haitao Yu1, Zhipeng Gao1, Xuesong Qiu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.3, pp. 555-575, 2018, DOI:10.31614/cmes.2018.04249

    Abstract The development of deep learning has revolutionized image recognition technology. How to design faster and more accurate image classification algorithms has become our research interests. In this paper, we propose a new algorithm called stochastic depth networks with deep energy model (SADIE), and the model improves stochastic depth neural network with deep energy model to provide attributes of images and analysis their characteristics. First, the Bernoulli distribution probability is used to select the current layer of the neural network to prevent gradient dispersion during training. Then in the backpropagation process, the energy function is designed More >

  • Open Access

    ARTICLE

    Safety Evaluation of Concrete Structures Based on a Novel Energy Criterion

    Qiang Tong1, Qingwen Ren1, *, Lei Shen 2, Linfei Zhang 2, Yin Yang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.1, pp. 33-58, 2018, DOI:10.3970/cmes.2018.114.033

    Abstract In this article, the post-peak softening stage of the constitutive relation and the elastic stiffness degradation of concrete are investigated, and a highly reasonable constitutive relation curve is proposed. At the material level, the energy change in the concrete failure process is studied based on the different stress-strain curves of concrete under uniaxial tension and compression. The concrete failure criterion based on elastic strain energy density is deemed suitable and consistent with the experimental phenomena. The hysteresis phenomenon (lags behind the peak strength) is also discussed. At the structure level, the strength reduction method is More >

  • Open Access

    ARTICLE

    Energy Release Rate Measurement of Welded Bamboo Joints

    Haiyang Zhang1,*, Qian He1, Xiaoning Lu1, A. Pizzi2,3, Changtong Mei1, Xianxu Zhan4

    Journal of Renewable Materials, Vol.6, No.5, pp. 450-456, 2018, DOI:10.7569/JRM.2017.634180

    Abstract Double cantilever beam tests were used to measure the energy release rates of linear vibrational welded moso bamboo joints. The influence of the length of the preserved cracks, the different combinations of the inner and outer bamboo surfaces and the moisture content is studied herein. The experimental compliance method, which is based on linear elastic fracture mechanics and has been shown to be an ideal method, was used to analyze data with the power equation. The results show that the preserved initial crack length does not have a significant effect on the final measured energy More >

  • Open Access

    ARTICLE

    Suitability of Blends from Virgin and Reprocessed Polylactide: Performance and Energy Valorization Kinetics

    O. Gil-Castell1, J. D. Badia1,2, A. Ribes-Greus1,*

    Journal of Renewable Materials, Vol.6, No.4, pp. 370-382, 2018, DOI:10.7569/JRM.2017.634170

    Abstract A blending strategy of virgin and reprocessed polylactide may be postulated as an alternative to reduce the material cost at industrial level, and as a valorization route to plastic waste management of production scraps. The performance of blends prepared from virgin polylactide and polylactide mechanically reprocessed up to two cycles (PLA-V/R) was assessed in terms of thermo-oxidative stability, morphology, viscoelasticity and thermal kinetics for energetic valorization. PLA-V/R blends showed appropriate thermo-oxidative stability. The amorphous nature of polylactide was preserved after blending. The viscoelastic properties showed an increment of the mechanical blend effectiveness, which suggested the More >

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