检索结果-南通市图书馆

Journal of Ocean Engineering and Science 2024年第5期9卷 437-453页

作者： Xiaofeng Wang Xiao-Guang Yue Mohammed K.A.Kaabar Arzu Akbulut Melike Kaplan Shenzhen University ShenzhenChina Department of Computer Science and Engineering European University CyprusNicosiaCyprus institute of Mathematical Sciences Faculty of ScienceUniversity of MalayaKuala Lumpur 50603Malaysia Department of Mathematics and Statistics Washington State UniversityPullmanWA 99163USA Jabalia Camp United Nations Relief and Works Agency(UNRWA)Palestinian Refugee CampGaza Strip JabalyaPalestine Mathematics-Computer Department Art-Science FacultyEski¸s ehir Osmangazi UniversityEski¸s ehirTurkey Department of Computer Engineering Faculty of Engineering and ArchitectureKastamonu UniversityKastamonuTurkey

A novel technique,named auxiliary equation method,is applied in this research work for obtaining new traveling wave solutions for two interesting proposed systems:the Kaup-Boussinesq system and generalized Hirota-Satsuma coupled KdV system with beta time fractional *** solutions were obtained using MAPLE *** technique shows a great potential to be applied in solving various nonlinear fractional differential equations arising from mathematical physics and ocean *** a standard equation has not been used as an auxiliary equation for this technique,different and novel solutions are obtained via this technique.

关键词： Symbolic computation Fractional differential equations Beta derivative Auxiliary equation method Solitary solutions Nonlinear equations

LATERAL DISPERSAL OF ADULT AQUATIC INSECTS FOLLOWING EMERGENCE FROM THE MIDDLE REACHES OF THE CHIKUMA RIVER(HONSHU ISLAND,JAPAN)IN RELATION TO WATERFRONT VEGETATION

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

水生生物学报 2006年第6期30卷 652-659页

作者： Kimio HIRABAYASHI Goro KIMURA Yachiyo FUKUNAGA Kumiko TSUKADA Makoto ANDO Atsushi HATTORI Department of Applied Biology Faculty of Textile Science and Technology Shinshu University Ueda Nagano 386-8567Japan incorporated administrative agency public works research institute Tsukuba Ibaraki 305-8516 Japan

To clarify the role of waterfront vegetation of floodplains for adult aquatic insects, Trichoptera and Diptera (Tipulidae and Chironomidae), in the middle reaches of the Chikuma River from May to July, an investigation of the number of these insects was conducted by trapping in each type of vegetation using board traps.A total of 2608.5 adults/m 2 were collected, and we identified a total of 26 species belonging to three taxa,i.e., seven species of Trichoptera, four species of Tipulidae and 15 species of Chironomidae. The most abundant species was Psychomyia acutipennis in Trichoptera (95.7%). There was a significant difference between the number of *** in the all vegetation area (especially, Salix subfragilis) and the control area (no vegetation) during the investigation periods (P<0.05, Mann-Whitney U-test). Other taxa did not show a significant difference between the all vegetation area and the control. Moreover, the numbers of adult P. acutipennis showed a significant difference in height on each vegetation. In the case of Vicia villosa varia and V. villosa varia plus dead Phragmites australis, the highest number was caught in the traps set in the boundary between one plant and the plant above (P<0.05, Steel-Dwass Test) in *** the other hand, in the case of almost all vegetation during the investigation periods (except of *** in May, Melilotus officinalis plus dead *** in June), the highest number was caught in the traps set up within the vegetation (P<0.05, Steel-Dwass Test).As a result, a significant difference was observed in the number of trapped *** according to the vegetation and its *** is suggested that the existence of multiple types of vegetation in the floodplain plays an important role for maintaining the diversity of the fauna there.

关键词： Adult aquatic insect Chikuma River, Flight behavior Lateral dispersal, Seasonal change Waterfront vegetation

Chemometric Amylose Modeling and Sample Selection for Global Calibration Using Artificial Neural Networks

在线全文

学校读者我要写书评

暂无评论

食品科学 2008年第8期29卷 118-124页

作者： SHIMIZU N OKADOME H WADA D KIMURA T OHTSUBO K Graduate School of Life and Environmental Sciences University of Tsukuba Ibaraki 305-8572 Japan National Food research institute Incorporated Administrative Agency Ibaraki 305-8642 Japan Graduate School of Agriculture Hokkaido University Hokkaido 060-8589 Japan

Chemometric amylose modeling for global calibration,using whole grain near infrared transmittance spectra and sample selection,was used in an artificial neural network(ANN) ,to assess the global and local models generated,based on samples of newly bred Indica,Japonica and rice. Global sample sets had a wide range of sample variation for amylose content(0 to 25.9%) . The local sample set,Japonica sample,had relatively low amylose content and a narrow sample variation(amylose;12.3% to 21.0%) . For sample selection the CENTER algorithm was applied to generate calibration,validation and stop sample sets. Spectral preprocessing was found to reduce the optimum number of partial least squares(PLS) components for amylose content and thus enhance the robustness of the local calibration. The best model was found to be an ANN global calibration with spectral preprocessing;the next was a PLS global calibration using standard spectra. These results pose the question whether an ANN algorithm with spectral preprocessing could be developed for global and local calibration models or whether PLS without spectral preprocessing should be developed for global calibration models. We suggest that global calibration models incorporating an ANN may be used as a universal calibration model.

关键词：直链淀粉人工神经网络分析方法食品标准

在线全文

学校读者我要写书评

暂无评论

可压缩壁湍流物理与建模研究进展

Acta Mechanica Sinica 2024年第1期40卷 1-34页

作者：程诚陈贤亮朱文凯史维傅林 Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and TechnologyHong KongChina institute for Advanced Study The Hong Kong University of Science and TechnologyHong KongChina Department of Mathematics The Hong Kong University of Science and TechnologyHong KongChina Center for Ocean research in Hong Kong and Macao(CORE) The Hong Kong University of Science and TechnologyHong KongChina HKUST Shenzhen-Hong Kong Collaborative Innovation research institute Shenzhen518045China

对高速边界层转捩与湍流的理解、建模与控制不但具有广泛的学术兴趣,而且对高速飞行器的设计与节能有至关重要的意义,因为转捩和湍流会急剧增加壁面摩阻和热流.根据Morkovin假设,高速流动具有一些与不可压缩流动本质上相似的特征,但另... 详细信息

对高速边界层转捩与湍流的理解、建模与控制不但具有广泛的学术兴趣,而且对高速飞行器的设计与节能有至关重要的意义,因为转捩和湍流会急剧增加壁面摩阻和热流.根据Morkovin假设,高速流动具有一些与不可压缩流动本质上相似的特征,但另一方面,由于存在热力学过程、激波、高焓效应等多物理场耦合,与不可压缩流动也有显著区别.本文综述了高速边界层转捩与湍流的物理和建模方面的最新研究进展,其中较大部分内容为湍流研究.为了物理过程描述的完整性,我们首先简要综述了高速流动转捩,主要关注气动加热原理和推迟转捩的被动控制策略.随后,我们总结了近期在湍流平均流向速度和温度的标度率方面的一些令人鼓舞的发现,这些标度率能够用于构建一系列新颖的壁面模型以提高模式精度.此外,作为湍流建模的基础之一,我们还总结了湍流结构方面的研究,尤其关注边界层对数区含能运动的标度率与建模.另外,我们综述了各种用于预测壁湍流的线性模型.尽管湍流通常被认为是高度非线性的,这些线性模型在过去二十年的研究中取得了较大的成功.最后,我们对综述进行总结,并简要展望未来研究.

关键词：不可压缩流动线性模型热力学过程多物理场耦合展望未来湍流研究湍流结构高速流动

Hypervelocity impact induced shock acoustic emission waves for quantitative damage evaluation using in situ miniaturized piezoelectric sensor network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2019年第5期32卷 1059-1070页

作者： Menglong LIU Qiang WANG Qingming ZHANG Renrong LONG Fangsen CUI Zhongqing SU institute of High Performance Computing A*STAR (agency for Science Technology and Research) School of Automation Nanjing University of Posts and Telecommunications State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology institute of High Performance Computing (A*STAR agency for Science Technology and Research) Department of Mechanical Engineering The Hong Kong Polytechnic University

Manmade debris and natural meteoroids, travelling in the Low Earth Orbit at a speed of several kilometers per second, pose a severe safety concern to the spacecraft in service through the HyperVelocity Impact(HVI). To address this issue, an investigation of shock Acoustic Emission(AE) waves induced by HVI to a downscaled two-layer Whipple shielding structure is performed,to realize a quantitative damage evaluation. Firstly a hybrid numerical model integrating smoothparticle hydrodynamics and finite element is built to obtain the wave response. The projectiles, with various impact velocities and directions, are modelled to impact the shielding structure with different thicknesses. Then experimental validation is carried out with built-in miniaturized piezoelectric sensors to in situ sense the HVI-induced AE waves. A quantitative agreement is obtained between numerical and experimental results, demonstrating the correctness of the hybrid model and facilitating the explanation of obtained AE signals in experiment. Based on the understanding of HVI-induced wave components, assessment of the damage severity, i.e., whether the outer shielding layer is perforated or not, is performed using the energy ratio between the regions of ‘‘high frequency" and ‘‘low frequency" in the acquired AE signals. Lastly, the direct-arrival fundamentalsymmetric wave mode is isolated from each sensing signal to be input into an enhanced delay-andsum algorithm, which visualizes HVI spots accurately and instantaneously with different sensor network configuration. All these works demonstrate the potential of quantitative, in situ, and real time HVI monitoring using miniaturized piezoelectric sensor network.

关键词： Acoustic Emission(AE) Damage detection Hypervelocity impact Piezoelectric sensor Whipple shielding assembly

Evaluation of early-age strains and stresses in roller-compacted concrete pavement

在线全文

学校读者我要写书评

暂无评论

Journal of Traffic and Transportation Engineering(English Edition) 2022年第1期9卷 93-105页

作者： Tetsya Sok Young Kyu Kim Jun Young Park Seung Woo Lee public Infrastructure Department Ministry of Public Works and TransportPhnom Penh 12100Cambodia institute for Disaster Prevention Gangneung-Wonju National UniversityGangneung-si 25457South Korea Korea Expressway research institute Korea Expressway CorporationHwaseong-si 18489South Korea Civil Engineering Department Gangneung-Wonju National UniversityGangneung-si 25457South Korea

In the structural design of a roller-compacted concrete pavement(RCCP), it is crucial to estimate strain and stress developments in the RCCP slab realistically. Since the RCCP mix uses less cement and lower amount of water, shrinkage strain and concrete temperature during the hardening stage are expected to be reduced as compared to those of conventional concrete mixture, resulting in a reduction of the concrete early-age deformation and stress developments in the RCCP slab. In this paper, early-age concrete strain and stress developments in RCCP slab subjected to environmental loads were evaluated. A full-scale test section of RCCP under real climatic conditions was monitored. The early-age total strains,stress-independent strains, shrinkage strains, and coefficient of thermal expansion(CTE) of the RCCP were measured and analyzed. Using the results of measured strains, in-situ CTE and shrinkage strain, and temperature, the early-age concrete stress development is computed by incorporating a viscoelastic property of the early-age concrete. The results revealed that the shrinkage strain of the RCCP is quite low as compared to that of conventional concrete. The early-age stress developments in the RCCP slab are strongly governed by the thermal-induced stresses. Shrinkage-induced stresses were quite small and might be negligible in a preliminary estimation of early-age stress developments in the RCCP slab.

关键词： Road engineering Roller-compacted concrete pavement Concrete strain Concrete stress Shrinkage strain Environmental loads

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1427-1439页

作者： Ruibing Jin Min Wu Keyu Wu Kaizhou Gao Zhenghua Chen Xiaoli Li institute for Infocomm research Agency for ScienceTechnology and Research(A*STAR)Singapore 138632Singapore School of Computer Science Liaocheng UniversityLiaocheng 252000 Macao institute of System Engineering Macao University of Science and TechnologyTaipaMacao 999078China

Accurate remaining useful life(RUL)prediction is important in industrial *** prevents machines from working under failure conditions,and ensures that the industrial system works reliably and ***,many deep learning based methods have been proposed to predict *** these methods,recurrent neural network(RNN)based approaches show a strong capability of capturing sequential *** allows RNN based methods to perform better than convolutional neural network(CNN)based approaches on the RUL prediction *** this paper,we question this common paradigm and argue that existing CNN based approaches are not designed according to the classic principles of CNN,which reduces their ***,the capacity of capturing sequential information is highly affected by the receptive field of CNN,which is neglected by existing CNN based *** solve these problems,we propose a series of new CNNs,which show competitive results to RNN based *** with RNN,CNN processes the input signals in parallel so that the temporal sequence is not easily *** alleviate this issue,a position encoding scheme is developed to enhance the sequential information encoded by a ***,our proposed position encoding based CNN called PE-Net is further improved and even performs better than RNN based *** experiments are conducted on the C-MAPSS dataset,where our PE-Net shows state-of-the-art performance.

关键词： Convolutional neural network(CNN) deep learning position encoding remaining useful life prediction

Characterizing Human Collective Behaviors During COVID-19 — Hong Kong SAR, China, 2020

在线全文

学校读者我要写书评

暂无评论

China CDC weekly 2023年第4期5卷 71-75,I0001-I0003页

作者： Zhanwei Du Xiao Zhang Lin Wang Sidan Yao Yuan Bai Qi Tan Xiaoke Xu Sen Pei Jingyi Xiao Tim K.Tsang Qiuyan Liao Eric H.YLau Peng Wu Chao Gao Benjamin J.Cowling WHO Collaborating Centre for Infectious Disease Epidemiology and Control School of Public HealthLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong Special Administrative RegionChina Laboratory of Data Discovery for Health Hong Kong Science and Technology ParkNew TerritoriesHong Kong Special Administrative RegionChina Department of Genetics University of CambridgeCambridgeCB23EHUK institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A*STAR)Singapore College of Information and Communication Engineering Dalian Minzu UniversityDalian CityLiaoning ProvinceChina Department of Environmental Health Sciences Mailman School of Public HealthColumbia UniversityNew York CityNYUSA School of Artificial Intelligence Opticsand Electronics(iOpen)Northwestern Polytechnical UniversityXi’an CityShaanxi ProvinceChina

Summary What is already known about this topic?People are likely to engage in collective behaviors online during extreme events,such as the coronavirus disease 2019(COVID-19)crisis,to express awareness,take action,and... 详细信息

关键词： collective likely extreme

MEIC-global-CO_(2):A new global CO_(2)emission inventory with highly-resolved source category and sub-country information

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China Earth Sciences 2024年第2期67卷 450-465页

作者： Ruochong XU Dan TONG Qingyang XIAO Xinying QIN Cuihong CHEN Liu YAN Jing CHENG Can CUI Hanwen HU Wenyu LIU Xizhe YAN Huaxuan WANG Xiaodong LIU Guannan GENG Yu LEI Dabo GUAN Kebin HE Qiang ZHANG Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing100084China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Chinese Academy of Environmental Planning Beijing100041China institute for Carbon Neutrality Tsinghua UniversityBeijing100084China

CO_(2)emission inventory provides fundamental data for climate research and emission ***,most global CO_(2)emission inventories were developed with energy statistics from International Energy agency(IEA)and were available at country level with limited source ***,as the first step toward a high-resolution and dynamic updated global CO_(2)emission database,we developed a data-driven approach to construct seamless and highly-resolved energy consumption data cubes for 208 countries/territories,797 sub-country administrative divisions in 29 countries,42 fuel types,and 52 sectors,with the fusion of activity data from 24 international statistics and 65 regional/local *** CO_(2)emissions from fossil fuel combustion and cement production in 1970–2021 were then estimated with highly-resolved source category(1,484 of total)and sub-country information(797 of total).Specifically,73%of global CO_(2)emissions in 2021 were estimated with sub-country information,providing considerably improved spatial resolution for global CO_(2)emission *** the support of detailed information,the dynamics of global CO_(2)emissions across sectors and fuel types were presented,representing the evolution of global economy and progress of climate *** differences of sectoral contribution were found across sub-country administrative divisions within a given country,revealing the uneven distribution of energy and economic structure among different *** estimates were generally consistent with existing databases at aggregated level for global total or large emitters,while large discrepancies were observed for middle and small *** database,named the Multiresolution Emission Inventory model for Climate and air pollution research(MEIC)is publicly available through http://*** with highly-resolved information and timely update,which provides an independent carbon emission accounting data source for climate rese

关键词： CO_(2)emissions Data-driven approach Highly-resolved source category Sub-country information

A novel AI approach for modeling land surface temperature of Freetown,Sierra Leone,based on land-cover changes

在线全文

学校读者我要写书评

暂无评论

International Journal of Digital Earth 2022年第1期15卷 1236-1258页

作者： Mosbeh R.Kaloop Mudassir Iqbal Mohamed T.Elnabwy Elhadi K.Mustafa Jong Wan Hu Department of Civil and Environmental Engineering Incheon National UniversityIncheonKorea Incheon Disaster Prevention research Center Incheon National UniversityIncheonKorea public works and Civil Engineering Department Mansoura UniversityMansouraEgypt Department of Civil Engineering University of Engineering and Technology PeshawarPeshwarPakistan National Water research Center Coastal Research InstituteAlexandriaEgypt Department of Surveying and Geo-Informatics Southwest Jiaotong UniversitySichuanPeople’s Republic of China

Land use/land cover(LULC)indices can be considered while developing land surface temperature(LST)*** relationship between LST and LULC indices must be established to accurately estimate the impacts of LST *** study developed novel machine learning models for predicting LST using multispectral Landsat images data of Freetown city in *** neural network(ANN)and gene expression programming(GEP)were employed to develop LST prediction *** of multispectral bands were obtained from Landsat 4-5 and 8 satellites to develop the proposed *** extracted data of LULC indices,such as normal difference vegetation index(NDVI),normal difference built-up index(NDBI),urban index(UI),and normal difference water index(NDWI),were utilized as attributes to model *** results show that the root-mean-square error(RMSE)of the ANN and GEP models were 0.91oC and 1.08 oC,*** GEP model was used to yield a relationship between LULC indices and LST in the form of a mathematical equation,which can be conveniently used to test new data regarding the thematic *** sensitivity analysis revealed that UI is the most influential parameter followed by NDBI,NDVI,and NDWI towards contributing LST.

关键词： Land surface temperature landsat land use/land cover AI modeling