03176oam 2200469 450 991048295700332120210704222127.0981-336-183-210.1007/978-981-33-6183-6(CKB)4100000011763202(DE-He213)978-981-33-6183-6(MiAaPQ)EBC6478276(PPN)253856493(EXLCZ)99410000001176320220210704d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierFull-scale field tests of different types of piles project-based study /Jialin Zhou, Erwin Oh1st ed. 2021.Gateway East, Singapore :Springer :Zhejiang University Press,[2021]©20211 online resource (XXVI, 272 p. 265 illus., 110 illus. in color.) Advanced Topics in Science and Technology in China,1995-6819 ;62981-336-182-4 Introduction -- General Principles and Practices -- Field Tests of Post Grouted Concrete Piles -- Field Tests of Precast Concrete Piles -- Field Tests of Composite Piles -- Field Tests of Super-long and Large Diameter Piles -- Piles under Ultimate Loads -- Capacity and Settlement Analysis -- Conclusions and Recommendations.This book provides full-scale field tests of different types of pile foundations. For the testing, it includes static load tests which consider various loading orientations, dynamic load tests, inclinometer monitoring and tests that aim to determine the load transfer mechanism of pile foundation. This book also covers the up-to-date popular topic with detailed project studies. This includes the academic investigation of post-grouting technology effect on drilled shaft piles, the research of displacement and non-displacement precast pile foundation, the study of fiber-reinforced polymer material used in the geo-technical environment such as deep excavation pit in tunneling project, and the research of super-long and large diameter pile foundations. These investigations provide essential and academic information for researchers as well as engineers in role of Civil and Geotech. Not only the different types of the piles are studied, but also the relevant theory and literatures are reviewed. In this book, the diagrams are plotted in an easy way and the explanation of the diagrams and tables are described in detail. The research methods corresponding to the practical projects are detailed as well. Hence, it is useful as a reference for the students and researchers in civil and geotechnical engineering.Advanced Topics in Science and Technology in China,1995-6819 ;62Piling (Civil engineering)TestingPiling (Civil engineering)Testing.624.154Zhou Jialin1081700Oh ErwinMiAaPQMiAaPQUtOrBLWBOOK9910482957003321Full-scale field tests of different types of piles2854023UNINA12099nam 2200685 450 991015165760332120230802010531.01-292-01399-0(CKB)2550000001123634(SSID)ssj0001259002(PQKBManifestationID)12493821(PQKBTitleCode)TC0001259002(PQKBWorkID)11300422(PQKB)10444826(MiAaPQ)EBC5174235(MiAaPQ)EBC5138831(Au-PeEL)EBL5138831(CaONFJC)MIL525351(OCoLC)1024268946(EXLCZ)99255000000112363420180105h20122012 uy 0engurcnu||||||||txtccrProbability statistics and random processes for engineers /Henry Stark, John W. WoodsFourth edition.Boston, [Massachusetts] :Pearson,2012.©20121 online resource (857 pages)Always LearningBibliographic Level Mode of Issuance: Monograph0-273-75228-6 1-299-94100-1 Includes bibliographical references at the end of each chapters and index.Cover -- Contents -- Preface -- 1 Introduction to Probability -- 1.1 Introduction: Why Study Probability? -- 1.2 The Different Kinds of Probability -- Probability as Intuition -- Probability as the Ratio of Favorable to Total Outcomes (Classical Theory) -- Probability as a Measure of Frequency of Occurrence -- Probability Based on an Axiomatic Theory -- 1.3 Misuses, Miscalculations, and Paradoxes in Probability -- 1.4 Sets, Fields, and Events -- Examples of Sample Spaces -- 1.5 Axiomatic Definition of Probability -- 1.6 Joint, Conditional, and Total Probabilities -- Independence -- Compound Experiments -- 1.7 Bayes' Theorem and Applications -- 1.8 Combinatorics -- Occupancy Problems -- Extensions and Applications -- 1.9 Bernoulli Trials-Binomial and Multinomial Probability Laws -- Multinomial Probability Law -- 1.10 Asymptotic Behavior of the Binomial Law: The Poisson Law -- 1.11 Normal Approximation to the Binomial Law -- Summary -- Problems -- References -- 2 Random Variables -- 2.1 Introduction -- 2.2 Definition of a Random Variable -- 2.3 Cumulative Distribution Function -- Properties of F[sub(X)](x) -- Computation of F[sub(X)](x) -- 2.4 Probability Density Function (pdf) -- Four Other Common Density Functions -- More Advanced Density Functions -- 2.5 Continuous, Discrete, and Mixed Random Variables -- Some Common Discrete Random Variables -- 2.6 Conditional and Joint Distributions and Densities -- Properties of Joint CDF F[sub(XY)](x,y) -- 2.7 Failure Rates -- Summary -- Problems -- References -- Additional Reading -- 3 Functions of Random Variables -- 3.1 Introduction -- Functions of a Random Variable (FRV): Several Views -- 3.2 Solving Problems of the Type Y = g(X) -- General Formula of Determining the pdf of Y = g(X) -- 3.3 Solving Problems of the Type Z = g(X, Y) -- 3.4 Solving Problems of the Type V = g(X, Y), W = h(X, Y).Fundamental Problem -- Obtaining f[sub(VW)] Directly from f[sub(XY)] -- 3.5 Additional Examples -- Summary -- Problems -- References -- Additional Reading -- 4 Expectation and Moments -- 4.1 Expected Value of a Random Variable -- On the Validity of Equation 4.1-8 -- 4.2 Conditional Expectations -- Conditional Expectation as a Random Variable -- 4.3 Moments of Random Variables -- Joint Moments -- Properties of Uncorrelated Random Variables -- Jointly Gaussian Random Variables -- 4.4 Chebyshev and Schwarz Inequalities -- Markov Inequality -- The Schwarz Inequality -- 4.5 Moment-Generating Functions -- 4.6 Chernoff Bound -- 4.7 Characteristic Functions -- Joint Characteristic Functions -- The Central Limit Theorem -- 4.8 Additional Examples -- Summary -- Problems -- References -- Additional Reading -- 5 Random Vectors -- 5.1 Joint Distribution and Densities -- 5.2 Multiple Transformation of Random Variables -- 5.3 Ordered Random Variables -- 5.4 Expectation Vectors and Covariance Matrices -- 5.5 Properties of Covariance Matrices -- Whitening Transformation -- 5.6 The Multidimensional Gaussian (Normal) Law -- 5.7 Characteristic Functions of Random Vectors -- Properties of CF of Random Vectors -- The Characteristic Function of the Gaussian (Normal) Law -- Summary -- Problems -- References -- Additional Reading -- 6 Statistics: Part 1 Parameter Estimation -- 6.1 Introduction -- Independent, Identically, Observations -- Estimation of Probabilities -- 6.2 Estimators -- 6.3 Estimation of the Mean -- Properties of the Mean-Estimator Function (MEF) -- Procedure for Getting a δ-confidence Interval on the Mean of a Normal Random Variable When σX Is Known -- Confidence Interval for the Mean of a Normal Distribution When σX Is Not Known.Procedure for Getting a δ-Confidence Interval Based on n Observations on the Mean of a Normal Random Variable when σX Is Not Known -- Interpretation of the Confidence Interval -- 6.4 Estimation of the Variance and Covariance -- Confidence Interval for the Variance of a Normal Random variable -- Estimating the Standard Deviation Directly -- Estimating the covariance -- 6.5 Simultaneous Estimation of Mean and Variance -- 6.6 Estimation of Non-Gaussian Parameters from Large Samples -- 6.7 Maximum Likelihood Estimators -- 6.8 Ordering, more on Percentiles, Parametric Versus Nonparametric Statistics -- The Median of a Population Versus Its Mean -- Parametric versus Nonparametric Statistics -- Confidence Interval on the Percentile -- Confidence Interval for the Median When n Is Large -- 6.9 Estimation of Vector Means and Covariance Matrices -- Estimation of μ -- Estimation of the covariance K -- 6.10 Linear Estimation of Vector Parameters -- Summary -- Problems -- References -- Additional Reading -- 7 Statistics: Part 2 Hypothesis Testing -- 7.1 Bayesian Decision Theory -- 7.2 Likelihood Ratio Test -- 7.3 Composite Hypotheses -- Generalized Likelihood Ratio Test (GLRT) -- How Do We Test for the Equality of Means of Two Populations? -- Testing for the Equality of Variances for Normal Populations: The F-test -- Testing Whether the Variance of a Normal Population Has a Predetermined Value -- 7.4 Goodness of Fit -- 7.5 Ordering, Percentiles, and Rank -- How Ordering is Useful in Estimating Percentiles and the Median -- Confidence Interval for the Median When n Is Large -- Distribution-free Hypothesis Testing: Testing If Two Population are the Same Using Runs -- Ranking Test for Sameness of Two Populations -- Summary -- Problems -- References -- 8 Random Sequences -- 8.1 Basic Concepts -- Infinite-length Bernoulli Trials -- Continuity of Probability Measure.Statistical Specification of a Random Sequence -- 8.2 Basic Principles of Discrete-Time Linear Systems -- 8.3 Random Sequences and Linear Systems -- 8.4 WSS Random Sequences -- Power Spectral Density -- Interpretation of the psd -- Synthesis of Random Sequences and Discrete-Time Simulation -- Decimation -- Interpolation -- 8.5 Markov Random Sequences -- ARMA Models -- Markov Chains -- 8.6 Vector Random Sequences and State Equations -- 8.7 Convergence of Random Sequences -- 8.8 Laws of Large Numbers -- Summary -- Problems -- References -- 9 Random Processes -- 9.1 Basic Definitions -- 9.2 Some Important Random Processes -- Asynchronous Binary Signaling -- Poisson Counting Process -- Alternative Derivation of Poisson Process -- Random Telegraph Signal -- Digital Modulation Using Phase-Shift Keying -- Wiener Process or Brownian Motion -- Markov Random Processes -- Birth-Death Markov Chains -- Chapman-Kolmogorov Equations -- Random Process Generated from Random Sequences -- 9.3 Continuous-Time Linear Systems with Random Inputs -- White Noise -- 9.4 Some Useful Classifications of Random Processes -- Stationarity -- 9.5 Wide-Sense Stationary Processes and LSI Systems -- Wide-Sense Stationary Case -- Power Spectral Density -- An Interpretation of the psd -- More on White Noise -- Stationary Processes and Differential Equations -- 9.6 Periodic and Cyclostationary Processes -- 9.7 Vector Processes and State Equations -- State Equations -- Summary -- Problems -- References -- 10 Advanced Topics in Random Processes -- 10.1 Mean-Square (m.s.) Calculus -- Stochastic Continuity and Derivatives [10-1] -- Further Results on m.s. Convergence [10-1] -- 10.2 Mean-Square Stochastic Integrals -- 10.3 Mean-Square Stochastic Differential Equations -- 10.4 Ergodicity [10-3] -- 10.5 Karhunen-Loéve Expansion [10-5] -- 10.6 Representation of Bandlimited and Periodic Processes.Bandlimited Processes -- Bandpass Random Processes -- WSS Periodic Processes -- Fourier Series for WSS Processes -- Summary -- Appendix: Integral Equations -- Existence Theorem -- Problems -- References -- 11 Applications to Statistical Signal Processing -- 11.1 Estimation of Random Variables and Vectors -- More on the Conditional Mean -- Orthogonality and Linear Estimation -- Some Properties of the Operator Ê -- 11.2 Innovation Sequences and Kalman Filtering -- Predicting Gaussian Random Sequences -- Kalman Predictor and Filter -- Error-Covariance Equations -- 11.3 Wiener Filters for Random Sequences -- Unrealizable Case (Smoothing) -- Causal Wiener Filter -- 11.4 Expectation-Maximization Algorithm -- Log-likelihood for the Linear Transformation -- Summary of the E-M algorithm -- E-M Algorithm for Exponential Probability Functions -- Application to Emission Tomography -- Log-likelihood Function of Complete Data -- E-step -- M-step -- 11.5 Hidden Markov Models (HMM) -- Specification of an HMM -- Application to Speech Processing -- Efficient Computation of P[E|M] with a Recursive Algorithm -- Viterbi Algorithm and the Most Likely State Sequence for the Observations -- 11.6 Spectral Estimation -- The Periodogram -- Bartlett's Procedure-Averaging Periodograms -- Parametric Spectral Estimate -- Maximum Entropy Spectral Density -- 11.7 Simulated Annealing -- Gibbs Sampler -- Noncausal Gauss-Markov Models -- Compound Markov Models -- Gibbs Line Sequence -- Summary -- Problems -- References -- Appendix A: Review of Relevant Mathematics -- A.1 Basic Mathematics -- Sequences -- Convergence -- Summations -- Z-Transform -- A.2 Continuous Mathematics -- Definite and Indefinite Integrals -- Differentiation of Integrals -- Integration by Parts -- Completing the Square -- Double Integration -- Functions -- A.3 Residue Method for Inverse Fourier Transformation.Fact.For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing. The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes.Always learning.Signal processingMathematicsProbabilitiesStochastic processesSignal processingMathematics.Probabilities.Stochastic processes.621.382/2Stark Henry1938-8025Woods John W(John William),1943-MiAaPQMiAaPQMiAaPQBOOK9910151657603321Probability statistics and random processes for engineers3404975UNINA03721nam 22006135 450 991101562250332120250705130234.09783031960932(electronic bk.)978303196092510.1007/978-3-031-96093-2(MiAaPQ)EBC32196103(Au-PeEL)EBL32196103(CKB)39586135200041(DE-He213)978-3-031-96093-2(EXLCZ)993958613520004120250705d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInnovative Mobile and Internet Services in Ubiquitous Computing Proceedings of the 19th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2025) /edited by Leonard Barolli, Hsing-Chung Chen, Kangbin Yim1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (557 pages)Lecture Notes on Data Engineering and Communications Technologies,2367-4520 ;259Print version: Barolli, Leonard Innovative Mobile and Internet Services in Ubiquitous Computing Cham : Springer,c2025 9783031960925 Multimedia Content Collaborative Work Support System -- Content Evaluation for Brushless Motor Control Learning Materials -- Traditional Craft Experience System using Virtual Reality Technology -- Adaptive Loss Balancing Enhanced Pix2Pix GAN for Robust Object Removals in Street-View Imagery -- An Integrated System Considering Object Detection and CNN-based Classification for Damage Rank Estimation of Aging Bridges -- An Effective On-device Real-time Audio Guidance for Pedestrian -- Cheating Detection in E-Exams for Internet Service-Based Courses using Mediapipe and Long Short-Term Memory Network.This book provides latest research findings, methods and development techniques, challenges and solutions from both theoretical and practical perspectives related to Ubiquitous and Pervasive Computing (UPC) with an emphasis on innovative, mobile and internet services. With the proliferation of wireless technologies and electronic devices, there is a fast growing interest in UPC, which enables the human-oriented computing environment where computer chips are embedded in everyday objects and interact with physical world. Through UPC, people can get online even while moving around, thus having almost permanent access to their preferred services. With a great potential to revolutionize our lives, UPC also poses new research challenges.Lecture Notes on Data Engineering and Communications Technologies,2367-4520 ;259Computational intelligenceEngineeringData processingWireless communication systemsMobile communication systemsComputational IntelligenceData EngineeringWireless and Mobile CommunicationComputational intelligence.EngineeringData processing.Wireless communication systems.Mobile communication systems.Computational Intelligence.Data Engineering.Wireless and Mobile Communication.006.3Barolli Leonard846885Chen Hsing-Chung1833254Yim Kangbin1833255MiAaPQMiAaPQMiAaPQ9911015622503321Innovative Mobile and Internet Services in Ubiquitous Computing4408214UNINA