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statistical analysis with Dingo Optimizer Enabled Routing for Wireless Sensor Networks

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Computers, Materials & Continua 2022年第11期73卷 2865-2878页

作者： Abdulaziz S.Alghamdi Randa Alharbi Suliman A.Alsuhibany Sayed Abdel-Khalek Department of Mathematics College of Science&ArtsKing Abdulaziz UniversityRabigh21911Saudi Arabia Department Statistics College of ScienceUniversity of TabukTabukSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Mathematics and Statistics College of ScienceTaif UniversityTaif21944Saudi Arabia Mathematics Department Faculty of ScienceSohag UniversitySohag82524Egypt

Security is a vital parameter to conserve energy in wireless sensor networks(WSN).Trust management in the WSN is a crucial process as trust is utilized when collaboration is important for accomplishing trustworthy data *** the available routing techniques do not involve security in the design of routing *** study develops a novel statistical analysis with dingo optimizer enabled reliable routing scheme(SADO-RRS)for *** proposed SADO-RRS technique aims to detect the existence of attacks and optimal routes in *** addition,the presented SADORRS technique derives a new statistics based linear discriminant analysis(LDA)for attack detection,Moreover,a trust based dingo optimizer(TBDO)algorithm is applied for optimal route selection in the WSN and accomplishes secure data transmission in ***,the TBDO algorithm involves the derivation of the fitness function involving different input variables of *** demonstrating the enhanced outcomes of the SADO-RRS technique,a wide range of simulations was carried out and the outcomes demonstrated the enhanced outcomes of the SADO-RRS technique.

关键词： statistical analysis reliability routing wireless sensor networks linear discriminant analysis dingo optimizer security

statistical analysis of nondestructive testing results of cast steel joints in civil engineering structures

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Journal of Southeast University(English Edition) 2022年第1期38卷 1-8页

作者： Cheng Jiaming Gao Yiqi Yan Huadong Sun Sijia Jin Hui Jiangsu Key Laboratory of Engineering Mechanics Southeast UniversityNanjing 211189China School of Civil Engineering Southeast UniversityNanjing 211189China

To study the distribution law and random characteristics of casting defects in steel castings,24 civil engineering structural cast steel joints were divided into two groups:simple cast steel joints and complex cast steel *** kinds of nondestructive testing(NDT)methods,namely,visual,magnetic particle,and ultrasonic inspections,were used to detect the macroscopic defects in *** NDT results were then statistically *** results show that the unfused core support is a common defect of complex cast steel joints,and the defect can be seen visually,so excavation and repair welding should be carried out before castings leave *** cracks are extremely likely to occur in the intersection area of tubes,which is called the ultrasonic inspection blind *** occurrence probability of gas pores on simple cast steel joints is the largest,and the occurrence probability of core support incomplete fusions on complex cast steel joints is the ***,when cast steel joints are counted as a whole sample,the occurrence probability of gas pores is larger than that of core support incomplete ***,it is the most common defect in cast steel joints.

关键词： steel casting casting defect nondestructive testing statistical analysis

Optimal Deep Learning Enabled statistical analysis Model for Traffic Prediction

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Computers, Materials & Continua 2022年第9期72卷 5563-5576页

作者： Ashit Kumar Dutta S.Srinivasan S.N.Kumar T.S.Balaji Won Il Lee Gyanendra Prasad Joshi Sung Won Kim Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Institute of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Department of Electrical&Electronics Engineering Amal Jyothi College of EngineeringKanjirappallyKerala686518India Saveetha School of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Department of Electronics and Communication Engineering College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Department of Business Administration Hanbat National National UniversityDaejeon34158Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

Due to the advances of intelligent transportation system(ITSs),traffic forecasting has gained significant interest as robust traffic prediction acts as an important part in different ITSs namely traffic signal control,navigation,route mapping,*** traffic prediction model aims to predict the traffic conditions based on the past traffic *** more accurate traffic prediction,this study proposes an optimal deep learning-enabled statistical analysis *** study offers the design of optimal convolutional neural network with attention long short term memory(OCNN-ALSTM)model for traffic *** proposed OCNN-ALSTM technique primarily preprocesses the traffic data by the use of min-max normalization ***,OCNN-ALSTM technique was executed for classifying and predicting the traffic data in real time *** enhancing the predictive outcomes of the OCNN-ALSTM technique,the bird swarm algorithm(BSA)is employed to it and thereby overall efficacy of the network gets *** design of BSA for optimal hyperparameter tuning of the CNN-ALSTM model shows the novelty of the *** experimental validation of the OCNNALSTM technique is performed using benchmark datasets and the results are examined under several *** simulation results reported the enhanced outcomes of the OCNN-ALSTM model over the recent methods under several dimensions.

关键词： statistical analysis predictive models deep learning traffic prediction bird swarm algorithm

statistical analysis of the Asphalt Mixtures Volumetric Properties

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Journal of Wuhan University of Technology(Materials Science) 2010年第6期25卷 1082-1090页

作者：谭忆秋 AI AI-Hadidy School of Transportation Science and Engineering Harbin Institute of Technology Department of Civil Engineering Department University of Mosul

Based on statistics principle,random error and systematic error were considered and the volumetric properties of the two mixtures types,namely A and B,were statistically analyzed using different distribution ***-two samples of mixture A and fifty-two of mixture B were fabricated using the Marshall *** probability distributions were compared on the basis of goodness of *** model was found to be most appropriate model for describing the asphalt mixtures volumetric properties *** two-parameter Weibull distribution function applied well to model the bulk specific gravity and voids filled with asphalt data,whereas,the three-parameter Weibull distribution appeared to be more appropriate in the discussing of air voids and voids in mineral *** experimetal results is revealed that compared with the mean value,the peak value of Weibull distribution was suggested as an alternative and more powerful parameter for describing the test data distribution *** analysis of test results also revealed that there were significant differences in the volumetric properties of the two tested mixtures for the same confidence *** confidence interval decreased with the decreasing in reliability.

关键词： asphalt mixture volumetric properties statistical analysis Weibull distribution evaluation index reliability

statistical analysis of Precipitation Extremes in São Francisco River Basin, Brazil

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Atmospheric and Climate Sciences 2022年第2期12卷 383-408页

作者： Nayara Arroxelas dos Santos Siqueira Anderlan Henrique Batista Siqueira Augusto José Pereira Filho Departamento de Ciências Atmosféricas Instituto de Astronomia Geofísica e Ciências Atmosféricas Universidade de S&#227 o Paulo S&#227 o Paulo Brazil Instituto de Ciências Atmosféricas Universidade Federal de Alagoas Alagoas Brazil

This study comprises a climatology of the spatial variability of precipitation over the São Francisco River Basin (SFRB), characterized by its geographic heterogeneity. The different rainfall regimes in the region were analyzed through statistical and spectral analyses. Measured precipitation data, Pacific Decennial Climate indexes, ENSO, Atlantic Multidecadal Oscillation, North Atlantic Oscillation, Atlantic dipole, and the sunspot cycle over 65 years were used. The rainfall data were filtered and filled in using the regional weighting method. The spatial and temporal variability of precipitation along the SFRB is remarkable. A pattern was observed along with the time series of precipitation over the SFRB. The cluster analysis identified four homogeneous regions in the SFRB and explained 87.4% of the total variance of the average monthly rainfall of the 199 rain gauges. The Cross-wavelet analysis identified the relationship between the precipitation data series and the climatic indexes that are analyzed in this work.

关键词： Cross-Wavelet statistical analysis Hydrometeorology Climatology

statistical analysis AND NUMERICAL SIMULATION OF POYANG LAKE'S INFLUENCE ON TROPICAL CYCLONES

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Journal of Tropical Meteorology 2012年第2期18卷 249-262页

作者：张胜军陈联寿李英 State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences

Based on the Tropical Cyclone(TC briefly thereafter)Yearbook 1980-2009,this paper first analyzes the number and intensity change of the TCs which passed directly over or by the side of Poyang Lake(the distance of TC center is less than 1°longitude or 1°latitude from the Lake)among all the landfalling TCs in China during the past 30 *** cases are examined in detail in this *** is severe typhoon Rananim with a speed of 3.26 m/s and a change of 1 hPa in intensity when it was passing the *** other is super typhoon Saomai with a faster moving speed of 6.50 m/s and a larger change in intensity of 6 *** numerical simulation experiments,this paper analyzes how the change of underlying surface from water to land contributes to the differences in intensity,speed and mesoscale convection of the two TCs when they passed the *** show that the moisture and dynamic condition above the Lake were favorable for the maintenance of the intensity when Rananim was passing through Poyang Lake,despite the moisture supply from the ocean was cut *** a result,there was strong convection around the lake which led to a rainfall spinning counter-clockwise as it was affected by the TC ***,little impact was seen in the Saomai *** results indicate that for the TCs coming ashore on Poyang Lake with a slow speed,the large water body is conducive to the sustaining of the intensity and strengthening of the convection around the TC center and the subsequent heavy *** the contrary,a fast-moving TC is less likely to be influenced by the underlying surface in terms of intensity and speed.

关键词： tropical cyclone landfall statistical analysis numerical simulation Poyang Lake

statistical analysis and Prediction of the Concentration of Harmful Algae in Bohai Bay

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Transactions of Tianjin University 2005年第4期11卷 308-312页

作者：王洪礼冯剑丰李胜朋沈菲 School of Mechanical Engineering Tianjin UniversityTianjin 300072 China School of Sciences Tianjin University Tianjin 300072 China

Based on the data of phytoplankton concentration and environmental factors in Bohai Bay from May to September in 2003. the relationship between environmental factors and phytoplankton biomass was analyzed. By analysis of variance, the weather condition was found to have no direct relation with phytoplankton biomass. Correlation coefficients showed that temperature, pH value,the concentrations of silicate and nitrate exhibited linear relationship with phytoplankton *** principal component analysis, pollution types which affected the abundance of phytoplankton included point sources such as municipal and industrial effluents, agricultural runoff and earth＇s surface water. Using multivariate stepwise regression method and taking the correlation analysis results into consideration, a multi-step regression equation was developed to predict the concentration of phytoplankton in September 2003. Combined results show that temperature, pH value, the concentrations of silicate and nitrate are the critical ecological factors affecting the phytoplankton biomass in Bohai Bay.

关键词： harmful algae statistical analysis Bohai Bay environmental factor

statistical analysis for the Driving Cycle of Beijing's Bus

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Journal of Beijing Institute of Technology 2004年第4期13卷 436-440页

作者：王震坡孙逢春王军孙立清 School of Mechanical and Vehicular Engineering Beijing Institute of Technology Beijing100081 China

According to the test data of the driving model for Beijing's bus routes, 9 parameters and the actual values of Beijing bus are confirmed to evaluate the driving cycle, 2 ways of establishing driving cycle model are analyzed, the formula of calculating driving cycle is acquired, and the calculating driving cycle model and the statistical driving cycle model for the buses in Beijing urban areas are set up. This study provides scientific basis for selecting the bus type and confirming the design parameters and the running method in Beijing.

关键词： Beijing's bus statistical analysis driving cycle average speed

statistical analysis of Radio Interference of 1000 kV UHV AC Double-circuit Transmission Lines in Foul Weather

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CSEE Journal of Power and Energy Systems 2016年第2期2卷 47-55页

作者： Huichun Xie Xiang Cui Baoquan Wan Jiangong Zhang State Key Laboratory of Alternate Electrical Power System with Renewable Source(NCEPU) Beijing 102206China China Electric Power Research Institute Wuhan 430074China

Analyzing the impact of radio interference(RI)variation during foul weather conditions is an area that has received limited *** paper provides a statistical analysis of RI measurements obtained from a long-term observation station close to the world’s first commercially operating 1000 kV UHV AC double-circuit transmission line in *** six months of observations,the impact of RI was studied on the line during fog,drizzle,and light snow and *** was found that RI increases linearly with the natural logarithm of the precipitation *** Levenberg-Marquardt algorithm(LMA)is employed to fit the RI value with the precipitation *** reasonable distribution of RI in different foul weather is verified by one-sample K-S *** test is seen as beneficial for further RI prediction based on statistical weather mode.

关键词： 1000 kV UHV AC double-circuit transmission line foul weather precipitation intensity radio interference statistical analysis