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  • Open Access

    ARTICLE

    Effect of Plastocene Embedment in the Microperforated Plate on Its Acoustic Performance

    Yipu Wang1, Yonghua Wang1,2,*, Zheming Liu1, Huadong Yu1, Jinkai Xu1

    Journal of Renewable Materials, Vol.9, No.5, pp. 923-941, 2021, DOI:10.32604/jrm.2021.014138

    Abstract Noise pollution is one of the contemporary environmental pollution, which seriously damages people’s green and healthy life. In order to further improve the low frequency sound absorption performance of microperforated panel (MPP), a new plastocene coupled microperforated plate (PCMPP) is proposed. The acoustic properties of PCMPP with different apertures and perforation ratio were measured by transfer function method and compared with that of conventional MPPs. It is found that when the aperture was 0.8 mm, the peak value of sound absorption coefficient of PCMPP decreased by 150 Hz compared with MPP. In a certain range, PCMPP with larger apertures showed… More >

  • Open Access

    RETRACTION

    RETRACTED: Recent Approaches for Text Summarization Using Machine Learning & LSTM0

    Neeraj Kumar Sirohi1,*, Mamta Bansal1, S. N. Rajan2

    Journal on Big Data, Vol.3, No.1, pp. 35-47, 2021, DOI:10.32604/jbd.2021.015954

    Abstract Nowadays, data is very rapidly increasing in every domain such as social media, news, education, banking, etc. Most of the data and information is in the form of text. Most of the text contains little invaluable information and knowledge with lots of unwanted contents. To fetch this valuable information out of the huge text document, we need summarizer which is capable to extract data automatically and at the same time capable to summarize the document, particularly textual text in novel document, without losing its any vital information. The summarization could be in the form of extractive and abstractive summarization. The… More >

  • Open Access

    ARTICLE

    MHD Maxwell Fluid with Heat Transfer Analysis under Ramp Velocity and Ramp Temperature Subject to Non-Integer Differentiable Operators

    Thabet Abdeljawad1,2,3, Muhammad Bilal Riaz4,5, Syed Tauseef Saeed6,*, Nazish Iftikhar6

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 821-841, 2021, DOI:10.32604/cmes.2021.012529

    Abstract The main focus of this study is to investigate the impact of heat generation/absorption with ramp velocity and ramp temperature on magnetohydrodynamic (MHD) time-dependent Maxwell fluid over an unbounded plate embedded in a permeable medium. Non-dimensional parameters along with Laplace transformation and inversion algorithms are used to find the solution of shear stress, energy, and velocity profile. Recently, new fractional differential operators are used to define ramped temperature and ramped velocity. The obtained analytical solutions are plotted for different values of emerging parameters. Fractional time derivatives are used to analyze the impact of fractional parameters (memory effect) on the dynamics… More >

  • Open Access

    ARTICLE

    Performance Evaluation and Effectiveness of the Reverberation Room

    Mohamed Abd-Elbasseer*, Hatem Kh Mohamed

    Sound & Vibration, Vol.55, No.1, pp. 43-55, 2021, DOI:10.32604/sv.2021.09417

    Abstract This research presents a thorough evaluation of the reverberation room at Acoustics Laboratory in National Institute of Standards (NIS) according to the related international standards. The evaluation aims at examining the room performance and exploring its effectiveness in the frequency range from 125 Hz to 10000 Hz according to the international standard requirements. The room, which was designed and built several years ago, is an irregular rectangular shape free from diffusers. Its volume is about 158.84 m3, which meets the requirement of the ISO 354 standard Lmax < 1.9V1/3. Cut-off frequencies of one and one-third octave are 63 Hz and… More >

  • Open Access

    ARTICLE

    Reducing Occupational Noise Propagated from Centrifugal Fan through Dissipative Silencers: A Field Study

    Ali Safari Variani1, Masoumeh Ghorbanide1, Sajad Zare2, Saeid Ahmadi1,*, Zahra Hashemi3

    Sound & Vibration, Vol.55, No.1, pp. 31-41, 2021, DOI:10.32604/sv.2021.08930

    Abstract Acoustic performance of dissipative silencer was evaluated to determine the effectiveness of perforated duct porosity and absorbent material density in reducing occupational noise exposure propagated from centrifugal fan. Design charts were applied to predict noise reduction and length of a dissipative silencer. Dissipative silencers with various punched duct porosity (14%, 30% and 40%) and sound absorbent density (80 Kg/m3, 120 Kg/m3, and 140 Kg/m3) were designed and fabricated. According to ISO9612 and ISO11820, noise level was measured before and after installing all nine test silencers at fixed workstations around the discharge side of a centrifugal fan in a manufacturing plant.… More >

  • Open Access

    ARTICLE

    A Fast and Effective Multiple Kernel Clustering Method on Incomplete Data

    Lingyun Xiang1,2, Guohan Zhao1, Qian Li3, Gwang-Jun Kim4,*, Osama Alfarraj5, Amr Tolba5,6

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 267-284, 2021, DOI:10.32604/cmc.2021.013488

    Abstract Multiple kernel clustering is an unsupervised data analysis method that has been used in various scenarios where data is easy to be collected but hard to be labeled. However, multiple kernel clustering for incomplete data is a critical yet challenging task. Although the existing absent multiple kernel clustering methods have achieved remarkable performance on this task, they may fail when data has a high value-missing rate, and they may easily fall into a local optimum. To address these problems, in this paper, we propose an absent multiple kernel clustering (AMKC) method on incomplete data. The AMKC method first clusters the… More >

  • Open Access

    ARTICLE

    An Abstractive Summarization Technique with Variable Length Keywords as per Document Diversity

    Muhammad Yahya Saeed1, Muhammad Awais1, Muhammad Younas1, Muhammad Arif Shah2,*, Atif Khan3, M. Irfan Uddin4, Marwan Mahmoud5

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2409-2423, 2021, DOI:10.32604/cmc.2021.014330

    Abstract Text Summarization is an essential area in text mining, which has procedures for text extraction. In natural language processing, text summarization maps the documents to a representative set of descriptive words. Therefore, the objective of text extraction is to attain reduced expressive contents from the text documents. Text summarization has two main areas such as abstractive, and extractive summarization. Extractive text summarization has further two approaches, in which the first approach applies the sentence score algorithm, and the second approach follows the word embedding principles. All such text extractions have limitations in providing the basic theme of the underlying documents.… More >

  • Open Access

    ARTICLE

    Deep Learning in DXA Image Segmentation

    Dildar Hussain1, Rizwan Ali Naqvi2, Woong-Kee Loh3, Jooyoung Lee1,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2587-2598, 2021, DOI:10.32604/cmc.2021.013031

    Abstract Many existing techniques to acquire dual-energy X-ray absorptiometry (DXA) images are unable to accurately distinguish between bone and soft tissue. For the most part, this failure stems from bone shape variability, noise and low contrast in DXA images, inconsistent X-ray beam penetration producing shadowing effects, and person-to-person variations. This work explores the feasibility of using state-of-the-art deep learning semantic segmentation models, fully convolutional networks (FCNs), SegNet, and U-Net to distinguish femur bone from soft tissue. We investigated the performance of deep learning algorithms with reference to some of our previously applied conventional image segmentation techniques (i.e., a decision-tree-based method using… More >

  • Open Access

    ARTICLE

    Design and Implementation of Museum Educational Content Based on Mobile Augmented Reality

    Jin Qian1,2, Juan Cheng1,2,*, Yixing Zeng1, Tjondronegoro Dian W.3

    Computer Systems Science and Engineering, Vol.36, No.1, pp. 157-173, 2021, DOI:10.32604/csse.2021.014258

    Abstract In the digital age, museums are becoming increasingly integrated with media technology. The interactive mode of museum education brought about by new digital communication technology can increase the audience’s participation and interest in museum education content. This paper attempts to use Mobile Augment Reality (MAR) technology to design museum education content under the guidance of the principle of abstraction hierarchy from the theory of education optimization. With the help of MAR technology, museum education content can move up and down at different levels of information abstraction. The purpose is to help the audience move between perceptual knowledge and rational knowledge… More >

  • Open Access

    ARTICLE

    Water Repellency of Cellulosic Fibrous Mats Impregnated with Organic Solutions Based on Recycled Polystyrene

    Dafni Foti1, Costas Passialis1, Elias Voulgaridis1, Stergios Adamopoulos2,*

    Journal of Renewable Materials, Vol.9, No.1, pp. 85-96, 2021, DOI:10.32604/jrm.2021.011868

    Abstract Recycled polystyrene in combination with paraffin wax, alkyd resin, and gum rosin were used as components in formulations to investigate their water repellency when applied to cellulosic filter paper substrates. Polystyrene was used in concentration of 5, 10, 15 and 20%, alkyd resin and gum rosin of 5% each and paraffin wax of 0.5%. Totally, twenty four water repellent solutions were prepared. Water repellency was evaluated in terms of water absorption of the cellulosic fibrous mats. The relations between retention of solid substances of the formulations and grammage and water absorption of filter paper samples were also determined. The results… More >

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