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International English Education Research 2015年第3期 53-56页

作者： Zheng Ran Shanghai University of engineering Science college of Managements Shanghai 201620 PR China

In the transportation service, customers＇ specially ordered time window is not always strictly obeyed and deviation of service time from customer-ordered time window determine customers＇ satisfaction degree, which can be quantified by satisfactory function. And improved saving algorithm is proposed to solve the multi-objective model. A case study is also presented to verify effectiveness of the proposed algorithm.

关键词： transportation service customers' satisfaction saving algorithm

Age and petrogenesis of late Mesozoic intrusions in the Huoluotai porphyry Cu-(Mo)deposit,northeast China:Implications for regional tectonic evolution

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Geoscience Frontiers 2022年第2期13卷 311-332页

作者： Yong-gang Sun Bi-le Li Zhong-hai Zhao Feng-yue Sun Qing-feng Ding Xu-sheng Chen Jie-biao Li Ye Qian Yu-jin Li college of Earth Sciences Jilin UniversityChangchun 130061China college of Mining Liaoning Technical UniversityFuxin 123000China Qiqihaer Institute of Geological Exploration Heilongjiang 161006China School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental Science and engineering Southern University of Science and TechnologyShenzhen 518055China Key Laboratory of Mineral Resources Evaluation in Northeast Asia Ministry of Land and ResourcesChangchun 130061China

Multi-stage igneous rocks developed in the recently discovered Huoluotai Cu-(Mo)deposit provide new insights into the controversial late Mesozoic geodynamic evolution of the northern segment of the Great Xing’an Range(NSGXR).Zircon U-Pb dating suggests that the monzogranite,ore-bearing granodiorite porphyry,diorite porphyry,and granite porphyry in the deposit were emplaced at 179.5±1.6,148.9±0.9,146.1±1.3,and 142.2±1.5 Ma,*** Re-Os dating of molybdenite yielded an isochron age of 146.9±2.3 Ma(MSWD=0.27).The Jurassic adakitic monzogranite and granodiorite porphyry are characterized by high SiO_(2)and Na_(2)O contents,low K_(2)O/Na_(2)O ratios,low Mg O,Cr,and Ni contents,low zirconεHf(t)values relative to depleted mantle,and relatively high Th *** were produced by partial melting of a subducted oceanic slab,with involvement of marine sediments in the magma source and limited interaction with mantle peridotites during magma *** Late Jurassic diorite porphyry is characterized by moderate SiO_(2) contents,high Mg O,Cr,and Ni contents,and positive dominatedεHf(t)values,indicating it was produced by partial melting of a subduction-modified lithospheric mantle wedge and underwent limited crustal contamination during magma *** early Early Cretaceous adakitic granite porphyry shows high SiO_(2) and K_(2)O contents and K_(2)O/Na_(2)O ratios,low Mg O,Cr,and Ni contents,enriched Sr-Nd isotopic compositions,and slightly positive zirconεHf(t)values,suggesting it was produced by partial melting of thickened mafic lower *** NSGXR experienced a tectonic history that involved flat-slab subduction(200-160 Ma),and tearing and collapse(150-145 Ma)of the Mongol-Okhotsk oceanic *** period of magmatic quiescence from ca.160 to 150 Ma was a response to flat-slab subduction of the Mongol-Okhotsk oceanic *** thickening in the NSGXR(145-133 Ma)was due to the collision between the Amuria Block and the Siberian Craton.

关键词： Geochemistry Zircon U-Pb dating Huoluotai Cu-(Mo)deposit Flat-slab subduction Mongol-Okhotsk ocean

Study of narrow waterways congestion based on automatic identification system(AIS)data:A case study of Houston Ship Channel

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Journal of ocean engineering and Science 2022年第6期7卷 578-595页

作者： Masood Jafari Kang Sepideh Zohoori Maryam Hamidi Xing Wu Research Assistant Department of Industrial EngineeringLamar University2607 Cherry Engineering BuildingBeaumontTX 77710United States Assistant Professor Department of Industrial EngineeringCenter for Advances in Port ManagementLamar University2210 Cherry Engineering BuildingBeaumontTX 77710United States Associate Professor Department of Civil and Environmental EngineeringLamar University2032 Cherry Engineering BuildingBeaumontTX 77710United States

Using automatic identification system(AIS)data,this article first has extended the definition of three widely used roadway congestion indices to maritime transportation systems(MTS),traffic speed index(TSI),traffic rate index(TRI),and dwell time index(DTI).Next,a methodology is developed to measure the indices based on AIS data,considering various factors,including path geometry,time of day,and the type and size of vessels,and finally the method has been applied to the AIS data of the Houston Ship Channel(HSC)to evaluate the applicability in real *** results show that although average TSI and TRI cannot represent waterway congestion,the real-time values(rather than the average)at the micro level can help finding location,time,and severity of traffic ***,while TSI and TRI have shortcomings,both average and real-time dwell time index(DTI)can quantify traffic congestion and highlight severity in different waterway segments for different types of *** congestion happens at some narrow waterways,vessels need to wait at sea buoy or docks,thus dwell time index(DTI)can quantify traffic congestion better than in-transit indices such as travel speed,*** to HSC DTI,most tankers experience long waiting times at the sea buoy and Galveston Bay,while cargo vessels experience delays at Bayport and Barbour’s Cut *** paper helps the decision-makers quantify congestion in different sections of a waterway and provides measures to compare congestion for national competing projects at different waterways.

关键词： Maritime transport system Waterway congestion Quantifying congestion AIS data Houston Ship Channel

Ag nanoparticles anchored organic/inorganic Z‐scheme 3DOMM‐TiO_(2‒x)‐based heterojunction for efficient photocatalytic and photoelectrochemical water splitting

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Chinese Journal of Catalysis 2022年第5期43卷 1360-1370页

作者： Zhiying Xu Chunyu Guo Xin Liu Ling Li Liang Wang Haolan Xu Dongke Zhang Chunhu Li Qin Li Wentai Wang Key Laboratory of Marine Chemistry Theory and Technology Ministry of EducationCollege of Chemistry and Chemical EngineeringOcean University of ChinaQingdao 266100ShandongChina Institute for New Energy Materials and Low‐Carbon Technologies Tianjin University of TechnologyTianjin 300384China Future Industries Institute UniSA STEMUniversity of South AustraliaMawson Lakes CampusSouth Australia 5095Australia Centre for Energy(M473) The University of Western Australia35 Stirling HighwayCrawleyWestern Australia 6009Australia Queensland Micro‐and Nanotechnology Centre Griffith University Nathan CampusBrisbaneQueensland 4111Australia college of Food engineering Qingdao Institute of TechnologyQingdao 266300ShandongChina

Narrow spectral response,low charge separation efficiency and slow water oxidation kinetics of TiO_(2)limit its application in photoelectrochemical and photocatalytic water ***,a promising organic/inorganic composite catalyst Ag/PANI/3DOMM‐TiO_(2–x)with a three‐dimensional ordered macro‐and meso‐porous(3DO MM)structure,oxygen vacancy and Ti^(3+)defects,heterojunction formation and noble metal Ag was designed based on the Z‐scheme mechanism and successfully *** Ag/PANI/3DOMM‐TiO_(2–x)ternary catalyst exhibited enhanced hydrogen production activity in both photocatalytic and photoelectrochemical water *** photocatalytic hydrogen production rate is 420.90μmol g^(–1)h^(–1),which are 19.80 times and 2.06 times higher than the commercial P25 and 3DOMM‐TiO_(2),*** the photoelectrochemical tests,the Ag/PANI/3DOMM‐TiO_(2–x)photoelectrode shows enhanced separation and transfer of carriers with a high current density of 1.55 mA cm^(–2)at equilibrium potential of 1.23 V under simulated AM 1.5 G illumination,which is approximately 5 times greater than the 3DOMM‐TiO_(2).The present work has demonstrated the promising potential of organic/inorganic Z‐scheme photocatalyst in driving water splitting for hydrogen production.

关键词： Photoelectrochemical Photocatalysis Organic/inorganic composite Heterojunction Water splitting

Geology, geochronology and geochemistry of large Duobaoshan Cu-Mo-Au orefield in NE China: Magma genesis and regional tectonic implications

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Geoscience Frontiers 2021年第1期12卷 265-292页

作者： Wen-yan Cai Ke-yong Wang Jian Li Li-juan Fu Chun-kit Lai Han-lun Liu college of Earth Sciences Jilin UniversityChangchun 130061China college of Geology and Mining engineering Xinjiang UniversityUrumqi 830047China Key Laboratory of Mineral Resources Evaluation in Northeast Asia Ministry of Land and Resources of ChinaChangchun 130061China Technical Information Department Inner Mongolia Shandong Gold Geological Minerals Survey Co.Ltd.Chifeng 024000China Faculty of Science Universiti Brunei DarussalamGadongBrunei Darussalam

Duobaoshan is the largest porphyry-related Cu-Mo-Au orefield in northeastern(NE)Asia,and hosts a number of large-medium porphyry Cu(PCDs),epithermal Au and Fe-Cu skarn *** ages of these deposits,from the oldest(Ordovician)to youngest(Jurassic),have spanned across over 300 *** similar orefields of such size and geological complexity are found in NE Asia,which reflects its metallogenic uniqueness in forming and preserving porphyry-related *** this study,we explore the actual number and timing of magmatic/mineralization phases,their respective magma genesis,fertility,and regional tectonic connection,together with the preservation of *** present new data on the magmatic/mineralization ages(LA-ICP-MS zircon U-Pb,pyrite and molybdenite Re-Os dating),whole-rock geochemistry,and zircon trace element compositions on four representative deposits in the Duobaoshan orefield,i.e.,Duobaoshan PCD,Tongshan PCD,Sankuanggou Fe-Cu skarn,and Zhengguang epithermal Au deposits,and compiled published ones from these and other mineral occurrences in the *** terms of geochronology,we have newly summarized seven magmatic phases in the orefield:(1)Middle-Late Cambrian(506-491 Ma),(2)Early and Middle Ordovician(485-471 Ma and~462 Ma),(3)Late Ordovician(450-447 Ma),(4)Early Carboniferous and Late-Carboniferous to Early Permian(351-345 and 323-291 Ma),(5)Middle-Late Triassic(244-223 Ma),(6)Early-Middle and Late Jurassic(178-168 Ma and~150 Ma),and(7)Early Cretaceous(~112 Ma).Three of these seven major magmatic phases were coeval with ore formation,including(1)Early Ordovician(485-473 Ma)porphyry-type Cu-Mo-(Au),(2)Early-Middle Triassic(246-229 Ma)porphyry-related epithermal Au-(Cu-Mo),and(3)Early Jurassic(177-173 Ma)Fe-Cu skarn *** deposits in the orefield,notably Tongshan and Zhengguang,were likely formed by more than one mineralization *** terms of geochemistry,ore-causative granitoids in the orefield exhibit adakite-like or adakite-nor

关键词： Duobaoshan Cu-Mo-Au orefield(NE China) Porphyry Cu deposit Epithermal Au deposit Paleo-Asian ocean Central Asian Orogenic Belt(CAOB)

Advanced Face Mask Detection Model Using Hybrid Dilation Convolution Based Method

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Journal of Software engineering and Applications 2023年第1期16卷 1-19页

作者： Shaohan Wang Xiangyu Wang Xin Guo Shanghai Ship and Shipping Research Institute Shanghai China School of Naval Architecture Ocean & Civil Engineering Shanghai Jiao Tong University Shanghai China COSCO SHIPPING Technology Co. Ltd. Shanghai China Marine Traffic Safety and Application Laboratory College of Merchant Marine Shanghai Maritime University Shanghai China

A face-mask object detection model incorporating hybrid dilation convolutional network termed ResNet Hybrid-dilation-convolution Face-mask-detector (RHF) is proposed in this paper. Furthermore, a lightweight face-mask dataset named Light Masked Face Dataset (LMFD) and a medium-sized face-mask dataset named Masked Face Dataset (MFD) with data augmentation methods applied is also constructed in this paper. The hybrid dilation convolutional network is able to expand the perception of the convolutional kernel without concern about the discontinuity of image information during the convolution process. For the given two datasets being constructed above, the trained models are significantly optimized in terms of detection performance, training time, and other related metrics. By using the MFD dataset of 55,905 images, the RHF model requires roughly 10 hours less training time compared to ResNet50 with better detection results with mAP of 93.45%.

关键词： Face Mask Detection Object Detection Hybrid Dilation Convolution Computer Vision

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

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Journal of Shipping and ocean engineering 2015年第1期5卷 26-43页

作者： Tuba Kececi Demet Bayraktar Ozcan Arslan Dept. of Maritime transportation and Management engineering Faculty of Maritime lstanbul Technical University Tuzla 34940 Istanbul Dept. of Business Administration Faculty of Business and Management Sciences Suleyman Sah University Tuzla 34956 Istanbul

A ship＇s crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew＇s performance is an important issue. In this paper, the ship officer＇s performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP （Fuzzy Analytic Hierarchy Process） based on Chang＇s Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.

关键词： Multiple criteria evaluation Fuzzy-AHP performance evaluation ship crew.

Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

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Journal of Rock Mechanics and Geotechnical engineering 2021年第6期13卷 1380-1397页

作者： Enming Li Fenghao Yang Meiheng Ren Xiliang Zhang Jian Zhou Manoj Khandelwal School of Resources and Safety engineering Central South UniversityChangsha410083China Universidad Politecnica de Madrid-ETSI Minas y Energia Rios Rosas 21Madrid28003Spain college of Locomotive and Rolling Stock engineering Dalian Jiaotong UniversityDalian116028China Department of Mathematics University of California Santa BarbaraSanta BarbaraCA93106USA State Key Laboratory of Safety and Health for Metal Mines Maanshan243000China School of engineering Information Technology and Physical SciencesFederation University AustraliaBallaratVIC3350Australia

The main purpose of blasting operation is to produce desired and optimum mean size rock *** or fine fragments cause the loss of ore during loading and transportation,whereas large or coarser fragments need to be further processed,which enhances production ***,accurate prediction of rock fragmentation is crucial in blasting *** fragment size(MFS) is a crucial index that measures the goodness of blasting *** the past decades,various models have been proposed to evaluate and predict blasting *** these models,artificial intelligence(AI)-based models are becoming more popular due to their outstanding prediction results for multiinfluential *** this study,support vector regression(SVR) techniques are adopted as the basic prediction tools,and five types of optimization algorithms,*** search(GS),grey wolf optimization(GWO),particle swarm optimization(PSO),genetic algorithm(GA) and salp swarm algorithm(SSA),are implemented to improve the prediction performance and optimize the *** prediction model involves 19 influential factors that constitute a comprehensive blasting MFS evaluation system based on AI *** all the models,the GWO-v-SVR-based model shows the best comprehensive performance in predicting MFS in blasting *** types of mathematical indices,*** square error(MSE),coefficient of determination(R^(2)) and variance accounted for(VAF),are utilized for evaluating the performance of different prediction *** R^(2),MSE and VAF values for the training set are 0.8355,0.00138 and 80.98,respectively,whereas 0.8353,0.00348 and 82.41,respectively for the testing ***,sensitivity analysis is performed to understand the influence of input parameters on *** shows that the most sensitive factor in blasting MFS is the uniaxial compressive strength.

关键词： Blasting mean fragment size e-support vector regression(e-SVR) V-support vector regression(v-SVR) Meta-heuristic algorithms Intelligent prediction

Comprehensive Assessment of Seawater Quality Based on an Improved Attribute Recognition Model

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Journal of ocean University of China 2006年第4期5卷 300-304页

作者： ZHANG Libing CHENG Jilin JIN Juliang JIANG Xiaohong college of Civil engineering Hefei University of Technology Hefei 230009 P. R. China college of Hydraulic engineering Yangzhou University Yangzhou 225009 P. R. China

The attribute recognition model (ARM) has been widely used to make comprehensive assessment in many engineering fields, such as environment, ecology, and economy. However, large numbers of experiments indicate that the value of weight vector has no relativity to its initial value but depends on the data of Quality Standard and actual samples. In the present study, the ARM is enhanced with the technique of data driving, which means some more groups of data from the Quality Standard are selected with the uniform random method to make the calculation of weight values more rational and more scientific. This improved attribute recognition model (IARM) is applied to a real case of assessment on seawater quality. The given example shows that the IARM has the merits of being simple in principle, easy to operate, and capable of producing objective results, and is therefore of use in evaluation problems in marine environment science.

关键词： comprehensive assessment seawater quality improved attribute recognition model