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Relationship Between Soil and Water Conservation Practices and Soil Conditions in Low Mountain and Hilly Region of Northeast China

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Chinese Geographical Science 2014年第2期24卷 147-162页

作者： ZHANG Yubin cao ning XU Xiaohong ZHANG Feng YAN Fei ZHANG Xinsheng TANG Xinlong State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water ConservationChinese Academy of Sciences and Ministry of Water Resources College of Plant Science Jilin University Soil and Water Conservation Institute of Jilin Province Monitoring Center of Soil and Water Conservation Songliao Water Resources CommissionMinistry of Water Resources

The soil and water conservation practices of ecological restoration(ER),fish scale pit(FP),furrow and ridge tillage across the slope(FR),shrub strips(SS),and vegetation-covered ridge(VR)are characteristic of the Jixing small watershed of the low mountain and hilly region of Jilin Province,Northeast *** study aims to elucidate the effects of soil and water conservation practices on soil conditions after the short-term implementation of *** samples were collected from five soil and water conservation sites(ER,FP,FR,SS,and VR)and two controls(BL and CT)to investigate their *** evaluate the influence of soil and water conservation practices on soil quality,an integrated quantitative index,soil quality index(QI),was developed to compare the soil quality under the different soil and water conservation *** results show that not all soil and water conservation practices can improve the soil conditions and not all soil properties,especially soil organic carbon(SOC),can be recovered under soil and water conservation practice in ***,the QI in the five soil and water conservation practices and two controls was in the following order:ER>VR>BL>FR>CT>SS>*** exhibited a higher soil quality value on a slope *** the low mountain and hilly region of Northeast China,ER is a better choice than the conversion of farmlands to planted grasslands and woodlands early in the soil and water conservation program.

关键词： soil and water conservation practices soil property soil organic carbon low mountain and hilly region Northeast China

Development and Application of Big Data Platform for Garlic Industry Chain

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Computers, Materials & Continua 2019年第1期58卷 229-248页

作者： Weijie Chen Guo Feng Chao Zhang Pingzeng Liu Wanming Ren ning cao Jianrui Ding Shandong Agricultural University Tai’an271000China Shandong Provincial Agricultural Information Center Ji’nan250013China College of Information Engineering Qingdao Binhai UniversityQingdao266000China Department of Computer Science Utah State UniversityLoganUSA

In order to effectively solve the problems which affect the stable and healthy development of garlic industry,such as the uncertainty of the planting scale and production data,the influence factors of price fluctuation is difficult to be accurately analyzed,the difficult to predict the trend of price change,the uncertainty of the market concentration,and the difficulty of the short-term price prediction *** big data platform of the garlic industry chain has been *** with a variety of data acquisition technology,the information collection of influencing factors for garlic industry chain is *** on the construction of the big data technology platform,the real-time synchronous acquisition,efficient storage and analysis of the planting,market,storage,processing,export and logistics information in five provinces and seven counties are *** application of the big data platform for garlic industry chain has realized the accurate acquisition of garlic planting area,the price and trend of market circulation and the information of export information,analyzed the fluctuation regulation of garlic price,and also realized the short-term precision prediction of garlic price.

关键词： Garlic industry chain agricultural big data planting area price fluctuation regulation price prediction

Natural Language Semantic Construction Based on Cloud Database

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Computers, Materials & Continua 2018年第12期57卷 603-619页

作者： Suzhen Wang Lu Zhang Yanpiao Zhang Jieli Sun Chaoyi Pang Gang Tian ning cao Hebei University of Economics and Business ShijiazhuangHebei050061China The Australian e-Health Research Centre ICT CentreCSIROAustralia Shandong University of Science and Technology QingdaoShandong266590China University College Dublin BelfieldDublin 4Ireland

Natural language semantic construction improves natural language comprehension ability and analytical skills of the *** is the basis for realizing the information exchange in the intelligent cloud-computing *** paper proposes a natural language semantic construction method based on cloud database,mainly including two parts:natural language cloud database construction and natural language semantic *** Language cloud database is established on the CloudStack cloud-computing environment,which is composed by corpus,thesaurus,word vector library and ontology knowledge *** this section,we concentrate on the pretreatment of corpus and the presentation of background knowledge ontology,and then put forward a TF-IDF and word vector distance based algorithm for duplicated webpages(TWDW).It raises the recognition efficiency of repeated web *** part of natural language semantic construction mainly introduces the dynamic process of semantic construction and proposes a mapping algorithm based on semantic similarity(MBSS),which is a bridge between Predicate-Argument(PA)structure and background knowledge *** show that compared with the relevant algorithms,the precision and recall of both algorithms we propose have been significantly *** work in this paper improves the understanding of natural language semantics,and provides effective data support for the natural language interaction function of the cloud service.

关键词： Natural language cloud database semantic construction

Sensor Network Structure Recognition Based on P-law

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Computer Systems Science & Engineering 2023年第8期46卷 1277-1292页

作者： Chuiju You Guanjun Lin Jinming Qiu ning cao Yundong Sun Russell Higgs School of Information Engineering Sanming UniversitySanming365004China School of Astronautics Harbin Institute of TechnologyHarbin150001China School of Mathematics and Statistics University College DublinDublinDublin 4Ireland

A sensor graph network is a sensor network model organized according to graph network *** unit and signal propagation of core nodes are the basic characteristics of sensor graph *** sensor networks,network structure recognition is the basis for accurate identification and effective prediction and control of node *** at the problems of difficult global structure identification and poor interpretability in complex sensor graph networks,based on the characteristics of sensor networks,a method is proposed to firstly unitize the graph network structure and then expand the unit based on the signal transmission path of the core *** method which builds on unit patulousness and core node signal propagation(called p-law)can rapidly and effectively achieve the global structure identification of a sensor graph *** from the traditional graph network structure recognition algorithms such as modularity maximization and spectral clustering,the proposed method reveals the natural evolution process and law of graph network subgroup *** results confirm the effectiveness,accuracy and rationality of the proposed method and suggest that our method can be a new approach for graph network global structure recognition.

关键词： Sensor network graph network P-law unit subgroup structure recognition

Polyaniline spaced MoS_(2)nanosheets with increased interlayer distances for constructing high-rate dual-ion batteries

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Journal of Materials Science & Technology 2024年第15期182卷 220-230页

作者： Xuhui Liu Xingdong Ma Guoshun Liu Xiaobin Zhang Xiaoqi Tang Chao Li Xiaobei Zang ning cao Qingguo Shao School of Materials Science and Engineering State Key Laboratory of Heavy Oil ProcessingChina University of Petroleum(East China)Qingdao 266580China

Dual-ion batteries(DIBs)have attracted great attention due to their affordable prices,environmentalfriendliness,and high operating ***,the conventional graphite anode in DIBs has draw-backs such as unsatisfactory capacity and worrying ***_(2)is considered to be a competitive anodematerial that exhibits large capacity due to its unique layered structure for cation insertion/***,the sluggish reaction kinetics of MoS_(2)does not match the cathode side,which makes theconstructed full DIBs show poor rate ***,a flower-like MoS_(2)/polyaniline composite electrode(MoS_(2)-PANI)where PANI was grown in situ between layers of MoS_(2)nanosheets was *** thisdesign,the inserted PANI can broaden the layer distance of MoS_(2)to facilitate cation diffusion and pre-vent the restacking of ***,PANI is also expected to increase the conductivity andrelieve the volume changes during repeated charge/discharge *** from that,the MoS_(2)-PANIelectrode delivered a reversible capacity of 561.91 mA h g^(-1) at 5 A g^(-1) in half-cell ***,whencoupled with a mildly expanded graphite(MEG)cathode,the obtained MEG//MoS_(2)-PANI DIB shows ex-cellent rate ability with a reversible discharge capacity of 86.62 mA h g^(-1) and a desirable energy densityof 308.83 W h kg-1 at 20 *** results provide some inspiration for the design of high-rate DIBs.

关键词： Dual-ion Battery Anode materials MoS_(2) High rate performance

Research on the Relationship Between Garlic and Young GarlicShoot Based on Big Data

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Computers, Materials & Continua 2019年第2期58卷 363-378页

作者： Feng Guo Pingzeng Liu Wanming Ren ning cao Chao Zhang Fujiang Wen Helen Min Zhou College of information science and engineering Shandong Agricultural UniversityTai’an271000China Shandong Provincial Department of Agriculture Information Center Jinan250013China College of Information Engineering Qingdao Binhai UniversityQingdaoChina School of Engineering Manukau Institute of TechnologyAucklandNew Zealand

In view of the problems such as frequent fluctuation of garlic price, lack ofefficient forecasting means and difficulty in realizing the steady development of garlicindustry, combined with the current situation of garlic industry and the collected datainformation. Taking Big Data platform of garlic industry chain as the core, using themethods of correlation analysis, smoothness test, co-integration test, and Grangercausality test, this paper analyzes the correlation, dynamic, and causality between garlicprice and young garlic shoot price. According to the current situation of garlic industry,the garlic industry service based on Big Data is put forward. It is concluded that there is apositive correlation between garlic price and young garlic shoot price, and there is a longtermstable dynamic equilibrium relationship between young garlic shoot price and garlicprice fluctuation, and young garlic shoot price can affect garlic price. Finally, it isproposed to strengthen the infrastructure construction of garlic Big Data, increase thetechnological innovation and application of garlic Big Data technology, and promote thesafety and security ability of the whole industry to promote the development of garlicindustry.

关键词： Big Data big data in agriculture granger causality test big data platform

Facile preparation of N-doped corncob-derived carbon nanofiber efficiently encapsulating Fe2O3 nanocrystals towards high ORR electrocatalytic activity

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Journal of Energy Chemistry 2020年第5期29卷 121-130页

作者： Wei Yan Yanling Wu Yanli Chen Qi Liu Kang Wang ning cao Fangna Dai Xiyou Li Jianzhuang Jiang School of Materials Science and Engineering China University of Petroleum(East China)Qingdao 266580ShandongChina Beijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials Department of ChemistryUniversity of Science and Technology BeijingBeijing 100083China

Facile preparation of cost-effective and durable porous carbon-supported non-precious-metal/nitrogen electrocatalysts for oxygen reduction reaction(ORR)is extremely important for promoting the commercialized applications of such *** this work,the FeCl3-containing porphyrinato iron-based covalent porous polymer(FeCl3·FeP or-CPP)was fabricated in-situ onto porous corncob biomass supports via a simple one-pot *** thermal-reduction pyrolysis at 700℃-900℃with CO2 gas as an activating agent resulted in Fe2O3-decorated and N-doped graphitic carbon composite Fe2O3@NC&bio-C with a high degree of graphitization of Fe-involved promotion during pyrolysis(Fe2O3=FeCl3·FePor-CPP derived Fe2O3;NC=N-doped graphene analog;bio-C=the corncob-derived hierarchically porous graphitic biomass carbon framework).The derivedα-Fe2O3 andγ-Fe2O3 nanocrystals(5-10 nm particle diameter)were all immobilized on the N-doped bio-C micro/***,the Fe2O3@NC&bio-C obtained at the pyrolysis temperature of 800℃(Fe2O3@NC&bio-C-800),exhibited unusual ORR catalytic efficiency via a 4-electron pathway with the onset and half-wave potentials of 0.96 V and 0.85 V ***,*** addition,Fe2O3@NC&bio-C-800 also exhibited a high and stable limiting current density of-6.0 mA cm-2,remarkably stability(larger than 91%retention after 10000 s),and good methanol *** present work represents one of the best results for iron-based biomass material ORR catalysts reported to *** high ORR activity is attributed to the uniformly distributedα-Fe2O3 andγ-Fe2O3 nanoparticles on the N-enriched carbon matrix with a large specific surface area of 772.6 m^2 g^-*** facilitates favor faster electron movement and better adsorption of oxygen molecules on the surface of the ***,comparative studies on the structure and ORR catalytic activity of Fe2O3@NC&bioC-800 with Fe2O3@bio-C-800 and NC&bio-C-800 clearly highlight the synergistic effect of the coexisting Fe2

关键词： Porphyrin iron polymer Corncob Fe2O3 Biomass carbon Oxygen reduction reaction

Customer Churn Prediction Framework of Inclusive Finance Based on Blockchain Smart Contract

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Computer Systems Science & Engineering 2023年第10期47卷 1-17页

作者： Fang Yu Wenbin Bi ning cao Hongjun Li Russell Higgs College of Information Engineering Qingdao Binhai UniversityQingdao266555China School of Computer and Software Dalian Neusoft University of InformationDalian116023China College of Information Engineering Shandong Vocational and Technical University of International StudiesRizhao276826China School of Intergrated Circuit Wuxi Vocational College of Science and TechnologyWuxi214028China School of Mathematics and Statistics University College DublinDublinIreland

In view of the fact that the prediction effect of influential financial customer churn in the Internet of Things environment is difficult to achieve the expectation,at the smart contract level of the blockchain,a customer churn prediction framework based on situational awareness and integrating customer attributes,the impact of project hotspots on customer interests,and customer satisfaction with the project has been *** framework introduces the background factors in the financial customer environment,and further discusses the relationship between customers,the background of customers and the characteristics of pre-lost *** improved Singular Value Decomposition(SVD)algorithm and the time decay function are used to optimize the search and analysis of the characteristics of pre-lost customers,and the key index combination is screened to obtain the data of potential lost *** framework will change with time according to the customer’s interest,adding the time factor to the customer churn prediction,and improving the dimensionality reduction and prediction generalization ability in feature *** regression,naive Bayes and decision tree are used to establish a prediction model in the experiment,and it is compared with the financial customer churn prediction framework under situational *** prediction results of the framework are evaluated from four aspects:accuracy,accuracy,recall rate and *** experimental results show that the context-aware customer churn prediction framework can be effectively applied to predict customer churn trends,so as to obtain potential customer data with high churn probability,and then these data can be transmitted to the company’s customer service department in time,so as to improve customer churn rate and customer loyalty through accurate service.

关键词： Contextual awareness customer churn prediction framework dimensionality reduction generalization ability

Research on Hybrid Model of Garlic Short-term Price Forecasting based on Big Data

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Computers, Materials & Continua 2018年第11期57卷 283-296页

作者： Baojia Wang Pingzeng Liu Zhang Chao Wang Junmei Weijie Chen ning cao Gregory MPO’Hare Fujiang Wen College of information science and engineering Shandong Agricultural UniversityTai’an271000China College of Information Engineering Qingdao Binhai UniversityQingdao266555China School of Computer Science University College Dublin(UCD)BelfieldDublin 4Ireland

Garlic prices fluctuate dramatically in recent years and it is very difficult to predict garlic *** autoregressive integrated moving average(ARIMA)model is currently the most important method for predicting garlic ***,the ARIMA model can only predict the linear part of the garlic prices,and cannot predict its nonlinear ***,it is urgent to adopt a method to analyze the nonlinear characteristics of garlic *** comparing the advantages and disadvantages of several major prediction models which used to forecast nonlinear time series,using support vector machine(SVM)model to predict the nonlinear part of garlic prices and establish ARIMA-SVM hybrid forecast model to predict garlic *** monthly average price data of garlic in 2010-2017 was used to test the effect of ARIMA model,SVM model and ARIMA-SVM *** experimental results show that:(1)Garlic price is affected by many factors but the most is the supply and demand relationship;(2)The SVM model has a good effect in dealing with the nonlinear relationship of garlic prices;(3)The ARIMA-SVM hybrid model is better than the single ARIMA model and SVM model on the accuracy of garlic price prediction,it can be used as an effective method to predict the short-term price of garlic.

关键词： Price forecast machine learning hybrid model garlic