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  • Open Access

    ARTICLE

    A Numerical Investigation of the Thermal Performances of an Array of Heat Pipes for Battery Thermal Management

    Chaoyi Wan1, *

    FDMP-Fluid Dynamics & Materials Processing, Vol.15, No.4, pp. 343-356, 2019, DOI:10.32604/fdmp.2019.07812

    Abstract A comparative numerical study has been conducted on the thermal performance of a heat pipe cooling system considering several influential factors such as the coolant flow rate, the coolant inlet temperature, and the input power. A comparison between numerical data and results available in the literature has demonstrated that our numerical procedure could successfully predict the heat transfer performance of the considered heat pipe cooling system for a battery. Specific indicators such as temperature, heat flux, and pressure loss were extracted to describe the characteristics of such a system. On the basis of the distributions More >

  • Open Access

    ARTICLE

    Systematically Monitoring, Relational Database and Technology Roadmapping for Trends and Innovation Opportunities in Biopolymers

    Selma B. Jaconis1,*, Augusto T. Morita2, Paulo L. A. Coutinho3, Suzana Borschiver1

    Journal of Renewable Materials, Vol.7, No.11, pp. 1221-1230, 2019, DOI:10.32604/jrm.2019.00025 - 14 July 2021

    Abstract In recent years environmental and sustainability concerns have impacted the global chemical industry and instituted a rush to produce products from renewable raw materials. This dynamic, complex and turbulent organizational scenario, around themes touching on the issue of sustainable development model, was created involving a large number of different actors: chemical/petrochemical industries, agroindustry companies, oil/gas companies, brand owners and end users, biotechnology startups, governments, universities and society. This paper proposed the application of a structured and dynamic method of technological prediction for biopolymers in three levels: systematic monitoring process, relational database and the “alive” Technology More >

  • Open Access

    ARTICLE

    Leak Detection of Gas Pipelines Based on Characteristics of Acoustic Leakage and Interfering Signals

    Lingya Meng1, *, Cuiwei Liu2, Liping Fang2, Yuxing Li2, Juntao Fu3

    Sound & Vibration, Vol.53, No.4, pp. 111-128, 2019, DOI:10.32604/sv.2019.03835

    Abstract When acoustic method is used in leak detection for natural gas pipelines, the external interferences including operation of compressor and valve, pipeline knocking, etc., should be distinguished with acoustic leakage signals to improve the accuracy and reduce false alarms. In this paper, the technologies of extracting characteristics of acoustic signals were summarized. The acoustic leakage signals and interfering signals were measured by experiments and the characteristics of time-domain, frequency-domain and time-frequency domain were extracted. The main characteristics of time-domain are mean value, root mean square value, kurtosis, skewness and correlation function, etc. The features in More >

  • Open Access

    ARTICLE

    Prediction of Outdoor Noise Propagation Induced By Single-Phase Power Transformers

    Xueyun Ruan1,2, Wei Huang1, Linke Zhang3, Yan Gao2,*

    Sound & Vibration, Vol.53, No.1, pp. 2-13, 2019, DOI:10.32604/sv.2019.04562

    Abstract Outdoor power transformers are one of the most pervasive noise sources in power transmission and distribution systems. Accurate prediction of outdoor noise propagation plays a dominant role for the evaluation and control of noise relevant to the transformer stations. In this paper surface vibration tests are carried out on a scale model of a single-phase transformer tank wall at different excitation frequencies. The phase and amplitude of test data are found to be randomly distributed when the excitation frequency exceeds the seventh mode frequency, which allows the single-phase power transformer to be simplified as incoherent… More >

  • Open Access

    ARTICLE

    Ring Artifacts Reduction in CBCT: Pixels Detection and Patch Based Correction

    Haitong Zhao1, Yi Li1, Shouhua Luo1,*

    Molecular & Cellular Biomechanics, Vol.16, No.4, pp. 265-273, 2019, DOI:10.32604/mcb.2019.07381

    Abstract The ring artifacts introduced by the defective pixels with non-linear responses in the high-resolution detector, have a great impact on subsequent processing and quantitative analysis of the reconstructed images. In this paper, a multistep method is proposed to suppress the ring artifacts of micro CT images, which firstly locates the positions of the defective pixels in the sinogram, and then corrects the corresponding value in the projections. Since the defective pixels always appear as vertical stripes in the sinogram, a horizontal curve is derived by summing the pixel values along vertical direction, thus the abrupt… More >

  • Open Access

    ARTICLE

    Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions

    Yongqiang Li1,#, Changxin Lai1,#, Chengchen Zhang2, Alexa Singer1, Suhao Qiu1, Boming Sun2, Michael S. Sacks3, Yuan Feng1,*

    Molecular & Cellular Biomechanics, Vol.16, No.4, pp. 245-251, 2019, DOI:10.32604/mcb.2019.07441

    Abstract Surgeries such as implantation of deep brain stimulation devices require accurate placement of devices within the brain. Because placement affects performance, image guidance and robotic assistance techniques have been widely adopted. These methods require accurate prediction of brain deformation during and following implantation. In this study, a magnetic resonance (MR) image-based finite element (FE) model was proposed by using a coupled Eulerian-Lagrangian method. Anatomical accuracy was achieved by mapping image voxels directly to the volumetric mesh space. The potential utility was demonstrated by evaluating the effect of different surgical approaches on the deformation of the… More >

  • Open Access

    ARTICLE

    Deep Feature Fusion Model for Sentence Semantic Matching

    Xu Zhang1, Wenpeng Lu1,*, Fangfang Li2,3, Xueping Peng3, Ruoyu Zhang1

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 601-616, 2019, DOI:10.32604/cmc.2019.06045

    Abstract Sentence semantic matching (SSM) is a fundamental research in solving natural language processing tasks such as question answering and machine translation. The latest SSM research benefits from deep learning techniques by incorporating attention mechanism to semantically match given sentences. However, how to fully capture the semantic context without losing significant features for sentence encoding is still a challenge. To address this challenge, we propose a deep feature fusion model and integrate it into the most popular deep learning architecture for sentence matching task. The integrated architecture mainly consists of embedding layer, deep feature fusion layer, More >

  • Open Access

    ARTICLE

    A Novel Robust Watermarking Algorithm for Encrypted Medical Image Based on DTCWT-DCT and Chaotic Map

    Jing Liu1,5, Jingbing Li1,*, Jieren Cheng1, Jixin Ma2, Naveed Sadiq3, Baoru Han4, Qiang Geng5, Yang Ai5

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 889-910, 2019, DOI:10.32604/cmc.2019.06034

    Abstract In order to solve the problem of patient information security protection in medical images, whilst also taking into consideration the unchangeable particularity of medical images to the lesion area and the need for medical images themselves to be protected, a novel robust watermarking algorithm for encrypted medical images based on dual-tree complex wavelet transform and discrete cosine transform (DTCWT-DCT) and chaotic map is proposed in this paper. First, DTCWT-DCT transformation was performed on medical images, and dot product was per-formed in relation to the transformation matrix and logistic map. Inverse transformation was undertaken to obtain… More >

  • Open Access

    ARTICLE

    Cultivated Land Monitoring System Based on Dynamic Wake-Up UAV and Wireless of Distributed Storage

    Longqing Zhang1, Liping Bai1,*, Xinwei Zhang2, Yanghong Zhang2, Lei Yang1, Xiangdu Yan2

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 817-828, 2019, DOI:10.32604/cmc.2019.06062

    Abstract The drawbacks of the traditional multi-hop structure of wireless sensor networks (WSNS) are susceptible to reflection, scattering and diffraction, serious attenuation of signal intensity and phase deviation due to various obstacles in cultivated land environment and mountains. In this paper, the wireless signal intensity is measured and curve fitting is done respectively in both open environment and obstacle-environment with both sending and receiving height of 0 m, 1 m, and 2 m. It is found out that packet loss probability is too high when an obstacle exists. In such a case, unmanned aerial vehicle (UAV) More >

  • Open Access

    ARTICLE

    Cryptanalysis and Improvement of a Chaotic Map-Control-Based and the Plain Image-Related Cryptosystem

    Bin Lu1, Fenlin Liu1, Xin Ge1,*, Zhenyu Li2

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 687-699, 2019, DOI:10.32604/cmc.2019.05633

    Abstract Due to the characteristics of chaotic systems, different cryptosystems based on chaos have been proposed to satisfy the security of multimedia data. A plain image-related chaotic algorithm is proposed by Luo et al. with high speed and efficiency. Security weaknesses of the cryptosystem are studied in this paper. It is found that the important secret key information is leaked because an important parameter can be obtained after an inverse operation in the last step of the cryptosystems without secret key. Meanwhile, the value zero is processed improperly in quantification algorithm. Based on the weaknesses, chosen More >

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