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Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer

Journal of Integrative Agriculture 2017年第2期16卷 398-407页

作者： Ran jay Shrestha Liping Di Eugene g. Yu Lingjun Kang SHAO Yuan-zhen BAI Yu-qi Center for Spatial Information Science and Systems (CSISS) George Mason University VA 22030 USA Department of geography and geoinformation Science George Mason University VA 22030 USA State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 P. R. China Key Laboratory for Earth System Modelling Ministry of Education/Department of Earth System Science (DESS) Tsinghua University Beijing 100084 P.R.China

Flood events and their impact on crops are extremely significant scientific research issues; however, flood monitoring is an exceedingly complicated process. Flood damages on crops are directly related to yield change, which requires accurate assessment to quantify the damages. Various remote sensing products and indices have been used in the past for this purpose. This paper utilizes the moderate resolution imaging spectroradiometer （MODIS） weekly normalized difference vegetation index （NDVI） product to detect and further quantify flood damages on corn within the major corn producing states in the Midwest region of the US. County-level analyses were performed by taking weighted average of all pure corn pixels （〉90%） masked by the United States Department of Agriculture （USDA） Cropland Data Layer （CDL）. The NDVI-based time-series difference between flood years and normal year （median of years 2000-2014） was used to detect flood occur- rences. To further measure the impact of the flood on corn yield, regression analysis between change in NDVI and change in corn yield as independent and dependent variables respectively was performed for 30 different flooding events within growing seasons of the corn. With the R2 value of 0.85, the model indicates statistically significant linear relation between the NDVI and corn yield. Testing the predictability of the model with 10 new cases, the average relative error of the model was only 4.47%. Furthermore, small error （4.8%） of leave-one-out cross validation （LOOCV） along with smaller statistical error indicators （root mean square error （RMSE）, mean absolute error （MAE）, and mean bias error （MBE））, further validated the accuracy of the model. Utilizing the linear regression approach, change in NDVI during the growing season of corn appeared to be a good indicator to quantify the yield loss due to flood. Additionally, with the 250 m MODIS-based NDVI, these yield losses can be estimated up to field level.

关键词： NDVI MODIS agriculture corn yield remote sensing regression

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Insider Attack Detection Using Deep Belief Neural Network in Cloud Computing

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Computer Systems Science & Engineering 2022年第5期41卷 479-492页

作者： A.S.Anakath R.Kannadasan Niju P.Joseph P.Boominathan g.R.Sreekanth School of Computing E.G.S.Pillay Engineering CollegeNagapattinam611002TamilnaduIndia Department of Software Systems School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014TamilnaduIndia Department of Computer Science CHRIST(Deemed to be University)Bengaluru560029India Department of Information Security School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014TamilnaduIndia Department of Computer Science and Engineering Kongu Engineering CollegeErode638060TamilnaduIndia

Cloud computing is a high network infrastructure where users,owners,third users,authorized users,and customers can access and store their information *** use of cloud computing has realized the rapid increase of information in every field and the need for a centralized location for processing *** cloud is nowadays highly affected by internal threats of the *** applications such as banking,hospital,and business are more likely affected by real user *** intruder is presented as a user and set as a member of the *** becoming an insider in the network,they will try to attack or steal sensitive data during information sharing or *** major issue in today's technological development is identifying the insider threat in the cloud *** data are lost,compromising cloud users is *** and security are not ensured,and then,the usage of the cloud is not *** solutions are available for the external security of the cloud ***,insider or internal threats need to be *** this research work,we focus on a solution for identifying an insider attack using the artificial intelligence *** insider attack is possible by using nodes of weak users’*** will log in using a weak user id,connect to a network,and pretend to be a trusted ***,they can easily attack and hack information as an insider,and identifying them is very *** types of attacks need intelligent solutions.A machine learning approach is widely used for security *** date,the existing lags can classify the attackers *** information hijacking process is very absurd,which motivates young researchers to provide a solution for internal *** our proposed work,we track the attackers using a user interaction behavior pattern and deep learning *** usage of mouse movements and clicks and keystrokes of the real user is stored in a *** deep belief neural

关键词： Cloud computing security insider attack network security privacy user interaction behavior deep belief neural network

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A Pseudo-Spectral Scheme for Systems of Two-Point Boundary Value Problems with Left and Right Sided Fractional Derivatives and Related Integral Equations

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Computer Modeling in Engineering & Sciences 2021年第7期128卷 21-41页

作者： I.g.Ameen N.A.Elkot M.A.Zaky A.S.Hendy E.H.Doha Department of Mathematics Faculty of ScienceAl-Azhar UniversityCairoEgypt Department of Mathematics Faculty of ScienceCairo UniversityGiza12613Egypt Department of Applied Mathematics Physics DivisionNational Research CentreDokkiCairo12622Egypt Department of Computational Mathematics and Computer Science Institute of Natural Sciences and MathematicsUral Federal UniversityYekaterinburg620002Russia Department of Mathematics Faculty of ScienceBenha UniversityBenha13511Egypt

We target here to solve numerically a class of nonlinear fractional two-point boundary value problems involving left-and right-sided fractional *** main ingredient of the proposed method is to recast the problem into an equivalent system of weakly singular integral ***,a Legendre-based spectral collocation method is developed for solving the transformed ***,we can make good use of the advantages of the gauss quadrature *** present the construction and analysis of the collocation *** results can be indirectly applied to solve fractional optimal control problems by considering the corresponding Euler–Lagrange *** numerical examples are given to confirm the convergence analysis and robustness of the scheme.

关键词： Spectral collocation method weakly singular integral equations two-point boundary value problems convergence analysis

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Type II Fuzzy Logic Based Cluster Head Selection for Wireless Sensor Network

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Computers, Materials & Continua 2022年第1期70卷 801-816页

作者： J.Jean Justus M.Thirunavukkarasan K.Dhayalini g.Visalaxi Adel Khelifi Mohamed Elhoseny Department of Computer Science&Engineering St.Joseph’s College of EngineeringChennai600119India School of Computing Science and Engineering Galgotias UniversityUttar Pradesh203201India Department of Electrical and Electronics Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Science&Engineering Bharath Institute of Higher Education and ResearchChennai600073India Department of Computer Science and Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates College of Computer Information Technology American University in the EmiratesDubaiUnited Arab Emirates Faculty of Computers and Information Mansoura UniversityEgypt

Wireless Sensor Network(WSN)forms an essential part of *** is embedded in the target environment to observe the physical parameters based on the type of *** nodes inWSN are constrained by different features such as memory,bandwidth,energy,and its processing *** WSN,data transmission process consumes the maximum amount of energy than sensing and processing of the ***,diverse clustering and data aggregation techniques are designed to achieve excellent energy efficiency in *** this view,the current research article presents a novel Type II Fuzzy Logic-based Cluster Head selection with Low Complexity Data Aggregation(T2FLCH-LCDA)technique for *** presented model involves a two-stage process such as clustering and data ***,three input parameters such as residual energy,distance to Base Station(BS),and node centrality are used in T2FLCH technique for CH selection and cluster ***,the LCDA technique which follows Dictionary Based Encoding(DBE)process is used to perform the data aggregation at ***,the aggregated data is transmitted to the BS where it achieves energy *** experimental validation of the T2FLCH-LCDAtechnique was executed under three different scenarios based on the position of *** experimental results revealed that the T2FLCH-LCDA technique achieved maximum energy efficiency,lifetime,Compression Ratio(CR),and power saving than the compared methods.

关键词： Clustering data aggregation energy consumption cluster head selection wireless sensor networks

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High Resolution Spectroscopy of Halo Stars in the Near UV and Blue Region I. Spectra in the Wavelength Region 3550-5000 A

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Chinese Journal of Astronomy and Astrophysics 2006年第5期6卷 579-587页

作者： V. g. Klochkova gang Zhao S. V. Ermakov V. E. Panchuk National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 Special Astrophysical Observatory Russian Academy of Sciences Nighnij Arkhyz 369167Karachai-Cherkessia Russia

An atlas of high resolution （R = 60 000） CCD-spectra in the wavelength range 3500-5000A is presented for four objects in metallicity range -3.0 〈 [Fe/H] 〈 -0.6, temperature range 4750 〈 Teff 〈 5900K, and surface gravity range 1.6 〈 Igg 〈 5.0. We describe the calibration of the stellar atmospheric parameters using Alonso＇s formula based on the method of infrared flux and outline the determination of the abundances of a total number of 25 chemical elements. An analysis of the abundance determination errors for different chemical elements is carried out, and a method is provided for the observations and reduction of spectral material. Properties of the method of producing an atlas of spectra and line identifications are described.

关键词： stars halo stars - stars g, K-type - stars spectra - stars UV-spectra

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Service-oriented infrastructure for flood mapping using optical and SAR satellite data

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International Journal of Digital Earth 2014年第10期7卷 829-845页

作者： N.Kussul A.Shelestov S.Skakun g.Li O.Kussul J.Xie Department of Space Information Technologies and Systems Space Research Institute NASU-NSAUKyivUkraine Departemnt of Information Security Physics and Technology InstituteNational Technical University of Ukraine“Kyiv Polytechnic Institute”KyivUkraine Department of Software Engineering National University of Life and Environmental Sciences of UkraineKyivUkraine Data Technology Division Center of Earth Observation and Digital EarthChinese Academy of SciencesBeijingChina

In this paper,we present the service-oriented infrastructure within the Wide Area grid project that was carried out within the Working group on Information Systems and Services of the Committee on Earth Observation *** developed infrastructure integrates services and computational resources of several regional and national grid systems:Ukrainian Academician grid(with satellite data processing grid segment,UASpacegrid)and grid system at the Center on Earth Observation and Digital Earth of Chinese Academy of *** study focuses on integrating geo-information services on flood mapping provided by Ukrainian and Chinese entities to benefit from information acquired from multiple *** also describe services for workflow automation and management in grid environment and provide an example of workflow automation for generating flood maps from optical and synthetic-aperture radar satellite *** also discuss issues of enabling trust for the infrastructure using certificates and reputation-based *** of utilizing the developed infrastructure for operational flood mapping in Ukraine and China are given as well.

关键词： earth observation geoinformatics geospatial data integration image processing remote sensing

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Double-brooding and annual breeding success of great tits in urban and forest habitats

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Current Zoology 2022年第5期68卷 517-525页

作者： Boglárka Bukor gábor Seress Ivett Pipoly Krisztina Sándor Csenge Sinkovics ErnőVincze András Liker Behavioral Ecology Research group Center for Natural SciencesUniversity of PannoniaVeszprém H-8200Hungary MTA-PE Evolutionary Ecology Research group University of PannoniaVeszprém H-8200Hungary MTA-ELTE Comparative Ethology Research group BudapestHungary Department of Biology Theoretical Population Ecology and Evolution GroupLund UniversityLundSweden

Urban areas differ from natural habitats in several environmental features that influence the characteristics of animals living *** example,birds often start breeding seasonally earlier and fledge fewer offspring per brood in cities than in natural ***,longer breeding seasons in cities may increase the frequency of double-brooding in urban compared with nonurban populations,thus potentially increasing urban birds’annual reproductive output and resulting in lower habitat difference in reproductive success than estimated by studies focusing on first clutches *** this study,we investigated 2 urban and 2 forests great tit Parus major populations from 2013 to *** compared the probability of double-brooding and the total number of annually fledged chicks per female between urban and forest habitats,while controlling for the effects of potentially confounding *** was a trend for a higher probability of double-brooding in urban(44%of females)than in forest populations(36%),although this was not consistent between the 2 urban *** produced significantly fewer fledglings annually in the cities than in the forest sites,and this difference was present both within single-and double-brooded ***,double-brooded urban females produced a similar number of fledglings per season as single-brooded forest *** results indicate that double-brooding increases the reproductive success of female great tits in both habitats,but urban females cannot effectively compensate in this way for their lower reproductive output per ***,other mechanisms like increased post-fledging survival can mitigate habitat differences in reproductive success.

关键词： annual reproductive success habitat differences population self-sustainability second brood urban conservation

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Inspection of aluminum alloys by a multi-frequency eddy current method

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Defence Technology（防务技术） 2015年第2期11卷 99-103页

作者： A.V.EgOROV V.V.POLYAKOV D.S.SALITA E.A.KOLUBAEV S.g.PSAKHIE A.g.CHERNYAVSKII I.V.VOROBEI Altai State University Institute of Strength Physics and Materials Science SB RAS National Research Tomsk Polytechnic University S.P.Korolev Rocket and Space Corporation "Energia"

The paper proposes an experimental method of material inspection,which is based on digital processing of multi-frequency eddy current measurement *** influences of various factors(conductivity,the gap between the sample surface and the sensor,the thickness of the sample) on the obtained hodographs are examined by taking the aluminum alloys for example,and the possibility of separation of various factors is *** results obtained are indicative of how much promise the proposed method offers for the inspection and testing of products made of aluminum alloys.

关键词：铝合金涡流法检查多频数字处理测量数据电导率传感器

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Simultaneous Extraction of Phosphorus, Potassium, Calcium and Magnesium from Soils and Potassium Recommendations for Crops in Southern Brazil

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Pedosphere 2011年第3期21卷 365-372页

作者： L.BORTOLON C.gIANELLO S.WELTER R.g.O.ALMEIDA E.gIASSON Department of Soil Science Federal University of Rio Grande do SulPorto AlegreRS (Brazil)

Simultaneous multi-element extraction has been increasing worldwide to improve soil laboratory testing quality and efficiency. This study sought to investigate the applicability of the Mehlich-1, Mehlich-3, and resin methods for simultaneous extraction of soil available P, K, Ca, and Mg as well as the effect of using conversion equations on nutrient recommendations for crops. Topsoil （0-20 cm） samples were taken from the most representative soil types used for crop production in southern Brazil with a wide range of chemical, physical, and mineralogical properties. Soil P, K, Ca, and Mg were simultaneously extracted using 1.0 mol L-1 KCl, Mehlich-1 and Mehlich-3 solutions, and membrane resin. The amounts of P extracted with the Mehlich-1 method were, on average, 50% lower than those extracted with the resin and Mehlich-3 methods. However, the resin method extracted the lowest amounts of K, Ca, and Mg. The use of conversion equations was suitable and it did not affect negatively the K recommendations for crops grown on soils of southern Brazil.

关键词： Mehlich-1 Mehlcih-3 membrane resin multi-element extraction soil testing

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Mobile Fog Computing by Using SDN/NFV on 5g Edge Nodes

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Computer Systems Science & Engineering 2022年第5期41卷 751-765页

作者： g.R.Sreekanth S.Ahmed Najat Ahmed Marko Sarac Ivana Strumberger Nebojsa Bacanin Miodrag Zivkovic Department of Computer Science and Engineering Kongu Engineering CollegeErode638060India Department of Computer Engineering Lebanese French UniversityErbil44001Iraq Singidunum University Belgrade11000Serbia

Abstract:Fog computing provides quality of service for cloud *** the data computation intensifies,edge computing becomes ***,mobile fog computing is used for reducing traffic and the time for data computation in the *** previous studies,software-defined networking(SDN)and network functions virtualization(NFV)were used separately in edge *** industrial and academic research is tackling to integrate SDN and NFV in different environments to address the challenges in performance,reliability,and ***/NFV is still in *** traditional Internet of things(IoT)data analysis system is only based on a linear and time-variant system that needs an IoT data system with a high-precision *** paper proposes a combined architecture of SDN and NFV on an edge node server for IoT devices to reduce the computational complexity in cloud-based fog *** provides a generalization structure of the forwarding plane,which is separated from the control ***,NFV concentrates on virtualization by combining the forwarding model with virtual network functions(VNFs)as a single or chain of VNFs,which leads to interoperability and *** orchestrator layer in the proposed software-defined NFV is responsible for handling real-time tasks by using an edge node server through the SDN controller via four actions:task creation,modification,operation,and *** proposed architecture is simulated on the EstiNet simulator,and total time delay,reliability,and satisfaction are used as evaluation *** simulation results are compared with the results of existing architectures,such as software-defined unified virtual monitoring function and ASTP,to analyze the performance of the proposed *** analysis results indicate that our proposed architecture achieves better performance in terms of total time delay(1800 s for 200 IoT devices),reliability(90%),and satisfaction(90%).

关键词： Mobile fog computing edge computing edge node IoT softwaredefined networking network functions virtualization orchestrator

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