Zhuo Zhou¹, Jiaohua Qin^1,*, Xuyu Xiang¹, Yun Tan¹, Qiang Liu¹, Neal N. Xiong²

CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 217-231, 2020, DOI:10.32604/cmc.2020.06431

Abstract Due to the slow processing speed of text topic clustering in stand-alone architecture under the background of big data, this paper takes news text as the research object and proposes LDA text topic clustering algorithm based on Spark big data platform. Since the TF-IDF (term frequency-inverse document frequency) algorithm under Spark is irreversible to word mapping, the mapped words indexes cannot be traced back to the original words. In this paper, an optimized method is proposed that TF-IDF under Spark to ensure the text words can be restored. Firstly, the text feature is extracted by the TF-IDF algorithm combined CountVectorizer… More >

Chuiju You¹, Dongjie Zhu^2,*, Yundong Sun², Anshan Ye³, Gangshan Wu⁴, Ning Cao¹, Jinming Qiu¹, Helen Min Zhou⁵

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1271-1283, 2019, DOI:10.32604/cmc.2019.06133

Abstract With the rapid development of social network, public opinion monitoring based on social networks is becoming more and more important. Many platforms have achieved some success in public opinion monitoring. However, these platforms cannot perform well in scalability, fault tolerance, and real-time performance. In this paper, we propose a novel social-network-oriented public opinion monitoring platform based on ElasticSearch (SNES). Firstly, SNES integrates the module of distributed crawler cluster, which provides real-time social media data access. Secondly, SNES integrates ElasticSearch which can store and retrieve massive unstructured data in near real time. Finally, we design subscription module based on Apache Kafka… More >

Angran Li¹, Xiaoqi Chai², Ge Yang^2,3, Yongjie Jessica Zhang^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 66-66, 2019, DOI:10.32604/mcb.2019.07633

Abstract Neurons exhibit remarkably complex geometry in their neurite networks. So far, how materials are transported in the complex geometry for survival and function of neurons remains an unanswered question. Answering this question is fundamental to understanding the physiology and disease of neurons. Here, we have developed an isogeometric analysis (IGA) based platform for material transport simulation in neurite networks. We modeled the transport process by reaction-diffusion-transport equations and represented geometry of the networks using truncated hierarchical tricubic B-splines (THB-spline3D). We solved the Navier-Stokes equations to obtain the velocity field of material transport in the networks. We then solved the transport… More >

Qi Wang^1,2,*, Changsong Yang^2,4, Shaoen Wu³

Journal of Information Hiding and Privacy Protection, Vol.1, No.3, pp. 95-108, 2019, DOI:10.32604/jihpp.2019.06054

Abstract Misalignment angle error model describing the SINS mathematical platform error is presented in this paper following the idea of small misalignment angle error model and large azimuth misalignment angle error model. It can be considered that the three misalignment angles are independent of the rotational sequence in the misalignment error model, but not suitable in the large misalignment error model. The error angle of Euler platform is used to represent the three misalignment angles from theoretical navigation coordinate system to computational navigation coordinate system. The Euler platform error angle is utilized to represent the mathematical platform error and its physical… More >

Gu Ming

The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.3, pp. 97-98, 2011, DOI:10.3970/icces.2011.020.097

Abstract With the rapid development of the ocean economy in our country, more and more offshore structures appear in recent years, and high-rise platform pile group is one of the conventional forms of these structures. A large-scale physical model test was carried out to study the bearing characteristics of high-rise platform pile group subjected to cyclic lateral load such as wave, tidewater and wind, etc. Two sets of pile group tests under lateral load were conducted in QianTang silts, which consist of nine steel-pipes in a closely-spaced arrangement. The group effect of pile groups, and its variation under cyclic loading conditions… More >

Yong-Jun Jang¹, Hag-Beom Kim^1,2, Woo-Sung Jung¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.1, pp. 19-26, 2009, DOI:10.3970/icces.2009.011.019

Abstract In this study, fire simulations were performed to analyze the characteristics of the fire driven flow and the effects of the platform screen door on the smoke flow in the station, when the fire occurred in the center of the platform. Soongsil Univ. station (line number 7) was chosen which is the one of the deepest (47m) underground subway stations in the Seoul metro(SMRT). The parallel computational method was employed to compute the heat and mass transfer eqn's with 6 CPUs of the Linux clustering machine. The fire driven flow was simulated using FDS code in which LES method was… More >

Xin Wang^1,*, Xiaokui Yue¹, Honghua Dai¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.2, pp. 25-25, 2019, DOI:10.32604/icces.2019.04851

Abstract With the rapid development of space technologies, the requirements of precise pointing and extreme stability increase a lot for spacecrafts. For some spacecrafts, sensitive payloads, including space telescopes, imaging sensors, space-borne optical interferometers are essential for the missions, which require a relatively quiet working environment. Generally, a spacecraft includes multiple instruments, including reaction wheels, cryogenic coolers, control moment gyroscopes and solar array drives, which can produce micro-vibrations. However, the micro-vibrations from the spacecraft and orbital perturbations both have a serious influence on the performance of sensitive payloads. For the sensitive payloads, performance requirements of low vibration and jitter have become… More >

Puyou Jia¹, Fei Song¹, Qiaoguang Li^2,*, Haoyu Xia³, Mei Li^1,*, Xugang Shu², Yonghong Zhou¹

Journal of Renewable Materials, Vol.7, No.7, pp. 601-619, 2019, DOI:10.32604/jrm.2019.07011

Abstract Polymers from renewable resources are receiving tremendous attention due to the increasing concerns on the depletion of fossil oils and deteriorated environments. Cardanol, as an abundant and renewable chemical raw material, has been widely used for the production of renewable polymer materials via converting into various of chemical monomers with active functional groups. This comprehensive review deals with various aspects of cardanol as a starting material the preparing various polymer and polymer composites such as benzoxazine resins, phenolic resin, polyurethanes, epoxy resin, vinyl ester polymers, polyamide and cyanate ester resins. The assessment of the future prospects for the use of… More >

Cristiane S. Farinas*, José Manoel Marconcini, Luiz Henrique C. Mattoso

Journal of Renewable Materials, Vol.6, No.2, pp. 203-216, 2018, DOI:10.7569/JRM.2017.6341578

Abstract The conversion of sugarcane lignocellulosic biomass into fuels, chemicals and high-value materials using the biochemical pathway is considered the most sustainable alternative for the implementation of future biorefineries. Actually, the first large-scale cellulosic ethanol plants that have started operating worldwide apply the enzymatic hydrolysis process to convert biomass into simple sugars that are fermented to ethanol by yeasts. However, several technological challenges still need to be addressed in order to obtain commercially competitive products. This review describes current challenges and perspectives regarding the enzymatic hydrolysis step for processing sugarcane lignocellulosic biomass within the biorefinery. Recent developments in terms of process… More >

Angran Li¹, Xiaoqi Chai², Ge Yang^2,3, Yongjie Jessica Zhang^1,2,*

Molecular & Cellular Biomechanics, Vol.16, No.2, pp. 123-140, 2019, DOI:10.32604/mcb.2019.06479

Abstract Neurons exhibit remarkably complex geometry in their neurite networks. So far, how materials are transported in the complex geometry for survival and function of neurons remains an unanswered question. Answering this question is fundamental to understanding the physiology and disease of neurons. Here, we have developed an isogeometric analysis (IGA) based platform for material transport simulation in neurite networks. We modeled the transport process by reaction-diffusion-transport equations and represented geometry of the networks using truncated hierarchical tricubic B-splines (THB-spline3D). We solved the Navier-Stokes equations to obtain the velocity field of material transport in the networks. We then solved the transport… More >