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Probability Theory And Mathematical Statistics
35,90 € *
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Probability theory began in seventeenth century France when the two great French mathematicians, Blaise Pascal and Pierre de Fermat, corresponded over two problems from games of chance. Problems like those Pascal and Fermat solved continued to influence such early researchers as Huygens, Bernoulli, and De Moivre in establishing a mathematical theory of probability. Today, probability theory is a well established branch of mathematics that finds applications in every area of scholarly activity from music to physics, and in daily experience from weather prediction to predicting the risks of new medical treatments. These Chapters notes are designed for an introductory probability course taken by social sciences, engineering, and computer science English-speaking students. The course presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. For use in a standard one-term course, in which both discrete and continuous probability is covered, students should have taken as a prerequisite two terms of calculus, including an introduction to multiple integrals. In order to cover the material on Markov chains, some knowledge of matrix

Anbieter: Dodax
Stand: 07.06.2020
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Yasufumi Soejima
39,00 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Formerly with Japanese anime studio Gonzo, Yasufumi Soejima served from 1999 2007 as its Production Director and 3D CGI Director. Soejima is best known for his animation work on The Second Renaissance - part 2 of the Animatrix anime series spun-off from the Wachowski brothers'' The Matrix trilogy from Warner Brothers, 3D direction for anime OVA Zaion: I Wish You Were Here and anime series Last Exile, and his collaborative work with Studio 4C on the anime-styled animated music video for US rock band Linkin Park''s hit single Breaking the Habit'' which won the 2004 MTV VMA Viewers Choice Award. In addition, Soejima served as Creative Advisor for two-time Tokyo Anime Award winning OVA Yukikaze, and was Digital Director for Textile Design on anime series Gankutsuou: The Count of Monte Cristo, as well as 3D Director for computer game-based anime series Final Fantasy Unlimited.

Anbieter: Dodax
Stand: 07.06.2020
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Current Trends in Computer Science and Mechanic...
209,95 € *
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Frontmatter -- Contents -- Preface / Wang, Shawn X. -- Introduction of keynote speakers -- Part I: Computer Science and Information Technology I -- Research and Development of Upper Limb Rehabilitation Training Robot / Chen, Yan-zhao / Zhang, Yu-wei -- K-mer Similarity: a Rapid Similarity Search Algorithm for Probe Design / Cui, Xiao-fei / Wang, Ya-dong / Quan, Guang-ri / Xu, Yong-dong -- Research and Prospects of Large-scale Online Education Pattern / Zhang, Hong / Zhang, Ling-ling -- New LebiD2 for Cold-Start / Dali, Lebi Jean Marc / Qin, Zhi-guang -- An Efficient Recovery Method of Encrypted Word Document / Zhang, Li-jun / Yu, Fei / Ji, Qing-bing -- A Short Reads Alignment Algorithm Oriented to Massive Data / Li, Gao-yang / Wang, Kai / Zeng, Yu-kun / Quan, Guang-ri -- Based on the Mobile Terminal and Clearing System for Real-time Monitoring of the AD Exposure / Song, Yan-nan / Liu, Shi / Zhang, Chun-yan / Ji, Wei / Qi, Ji -- Star-shaped SPARQL Query Optimization on Column-family Overlapping Storage / Lin, Li-ming / Liu, Guang-cao / Wang, Yan / Lu, Wei -- Assembly Variation Analysis based on Deviation Matrix / Lv, Zhen-yu / Zhang, Xu / Ming, Wei / Li, Peng -- Design and Realization of Undergraduate Teaching Workload Calculation System Based on LabVIEW / Xu, Yan / Chang, Rui / Wang, Ya-fei -- Smooth Test for Multivariate Normality of Innovations in the Vector Autoregressive Model / Su, Yan / Zhong, Yi-Shu -- Research on the Privacy-Preserved Mechanism of Supercomputer Systems / Yang, Bi-kuan / Liu, Guang-ming -- Reliability Evaluation Model for China’s Geolocation Databases / Lin, Jiu-chuan / Wang, Yong-jian / Xi, Rong-rong / Cui, Lei / Hao, Zhi-yu -- Using Local Library Function in Binary Translation / Tan, Jie / Pang, Jian-min / Lu, Shuai-bing -- Type Recognition of Small Size Aircrafts in Remote Sensing Images based on Weight Optimization of Feature Fusion and Voting Decision of Multiple Classifiers / Cheng, Kai / Song, Fei / Qin, Shiyin -- Research of User Credit Rating Analysis Technology based on CART Algorithm / Hu, Bo / Jin, Yu-kun / Gu, Wan-jiang / Liu, Jun / Qin, Hua-qin / Chen, Chong / Wang, Ying-yu -- Research of the Influence of 3D Printing Speed on Printing Dimension / Chen, Cong-ping / Ran, Yan-hua / Huang, Jie-guang / Hu, Qiong / Wang, Xiao-yun -- Research on Docker-based Message Platform in IoT / Zhang, Fan / Yang, Fan -- Research on the Recommendation of Microblog Network Advertisement based on Hybrid Recommendation Algorithm / Yang, Yan-xia -- Fuzz Testing based on Sulley Framework / Guo, Zhong / Li, Nan -- A Risk Assessment Strategy of Distribution Network Based on Random Set Theory / Zhang, Jun / Zhang, Shuang / Liang, Jian / Tian, Bei / Hou, Zan / Liu, Bao-zhu -- A Software Homology Detection based on BP Neural Network / Liu, Rui / Sun, Bo-wen / Tian, Bin / Li, Qi -- Image Small Target Detection based on Deep Learning with SNR Controlled Sample Generation / Liu, Ming / Du, Hao-yuan / Zhao, Yue-jin / Dong, Li-quan / Hui, Mei -- Agricultural Product Price Forecast based on Shortterm Time Series Analysis Techniques / Zhang, Yi-xin / Sun, Wen-sheng -- The Correction of Software Network Model based on Node Copy / Zhao, Xiao-lin / Xue, Jing-feng / Zhang, Qi / Wang, Zi-yang -- A Linguistic Multi-criteria Decision Making Method based on the Attribute Discrimination Ability / Wang, Wei-ping / Liu, Fang -- Part II: Computer Science and Information Technology II -- The Reverse Position Fingerprint Recognition Algorithm / Yang, Gui-fu / Xu, Xiao-yu / Liu, Wei-shuo / Pu, Cheng-lin / Yao, Lu / Zhang, Jing-bo / Liu, Zhen-bang -- Global Mean Square Exponential Stability of Memristor-Based Stochastic Neural Networks with Time-Varying Delays / Xu, Xiao-Lin -- Research on Classified Check of Metadata of Digital Image based on Fuzzy String Matching / Xie, Zhen-hong -- Quantitative Analysis of C2 Organization Collaborative Performance based on System Dynamics / Duan, Shao-nan / Niu, Yan-jie / Shi, Yao / Mu, Xiao-dong -- Comprehensive Evaluation and Countermeasures of Rural Information Service System Construction in Hengyang / Zhou, Kuai-kuai / Chen, Zheng -- Image Retrieval Algorithm based on Convolutional Neural Network / Huang, Wen-qing / Wu, Qiang -- A Cross-domain Optimal Path Computation / Zhou, Bing / Deng, Juan -- Collaborative Filtering Recommendation Algorithm based on Item Similarity Learning / Liu, Feng / Li, Huan / Ma, Zhu-juan / Zhu, Er-zhou -- The Graph Merge-Clustering Method based on Link Density / Jiang, Huo-wen / Ma, Hai-ying / Xu, Xin-ai -- Person Name Disambiguation by Distinguishing the Importance of Features based on Topological Distance / Qiu, Qing-yun / Luo, Jun-yong / Yin, Mei-juan -- A Security Technology Solution for Power Interactive Software Based on WeChat / Hu, Bo / Jin, Yu-kun / Liu, Jun / Fan, Ai-jun / Ma, Hong-bo / Chen, Chong -- Two-microphones Speech Separation Using Generalized Gaussian Mixture Model / Fan, Miao / Mao, Jia-min / Ding, Jao-gui / Li, Wei-feng -- A Common Algorithm of Construction a New Quantum Logic Gate for Exact Minimization of Quantum Circuits / Li, Zhi-qiang / Chen, Sai / Zhu, Wei / Chen, Han-wu -- A Post-Processing Software Tool for the Hybrid Atomisitc-Continuum Coupling Simulation / Wang, Qian / Ren, Xiao-guang / Xu, Li-yang / Yang, Wen-jing -- Achieve High Availability about Failover in Virtual Machine Cluster / Xu, Jun / Li, Xiao-yong -- Automatic Segmentation of Thorax CT Images with Fully Convolutional Networks / Mao, Kai-peng / Xie, Shi-peng / Shao, Wen-ze -- Application of CS-SVM Algorithm based on Principal Component Analysis in Music Classification / Wang, Yong-jie / Wang, Yi-bo / Du, Dun-wei / Bai, Yan-ping -- A New Particle Swarm Optimization Algorithm Using Short-Time Fourier Transform Filtering / Guo, Si-wen / Zuo, Yu / Yan, Tao / Wang, Zuo-cai -- RHOBBS: An Enhanced Hybrid Storage Providing Block Storage for Virtual Machines / Wang, Zhen / Chen, Hao-peng / Hu, Fei -- Part III: Sensors, Instrument and Measurement I -- AIS Characteristic Information Preprocessing & Differential Encoding based on BeiDou Transmission / Zhang, Shang-yue / Wang, Yu-ming / Yu, Zheng-guo -- Modeling of Ship Deformation Measurement based on Single-axis Rotation INS / Li, You / Wang, Xing-shu / Xiong, Hao -- Research on Fault Diagnosis of Satellite Attitude Control System based on the Dedicated Observers / Wang, Mei-ling / Song, Hua / Wei, Chun-ling -- Data Advance Based on Industrial 4.0 Manufacturing System / Yan, Ming-hui / Liu, Yao-he / Guo, Ning / Tang, Hua-cheng -- High Performance PLL base on Nonlinear Phase Frequency Detector and Optimized Charge Pump / Zhai, Hai-tao / Mao, Wen-shen / Liu, Wen-song / Lu, Ya-Di / Tang, Lu -- Accelerated ICP based on linear extrapolation / Luo, Fang-yan -- Studies of falls detection algorithm based on support vector machine / Pei, Li-ran / Jiang, Ping-ping / Yan, Guo-zheng -- Research and Development of Indoor Positioning Geographic Information System based on Web / Guo, Ting-ting / Qiao, Feng / Liu, Ming-zhe / Xu, Ai-dong / Sun, Jun-nan -- Harmonic Distribution Optimization of Surface Rotor Parameters for High-Speed Brushless DC Motor / Fang, Chun / Dou, Man-feng / Tan, Bo / Li, Quan-wu -- Vehicle Motion Detection Algorithm based on Novel Convolution Neural Networks / Gao, Sheng-yang / Jiang, Xian-yang / Tang, Xiang-hong -- The Bank Line Detection in Field Environment Based on Wavelet Decomposition / Li, Yong / Wang, En-de / Duan, Zhi-gang / Cao, Hui / Liu, Xun-qian -- Research on Measurement Method of Harmonics Bilateral Energy / Li, Xiao-ming / Yin, Jia-yue / Xu, Hao-jun / Bi, Chengqiong / Zhu, Li / Deng, Xiao-dong / Ma, Lei-nan -- Traffic Supervision System Using Unmanned Aerial Vehicle based on Image Recognition Algorithm / Wang, Long-fei / Zhang, Wei / Chen, Xiang-dong -- Improving the Durability of Micro ER Valves for Braille Displays Using an Elongational Flow Field / Li, Yu-fei / Liu, Ya-yong / Xu, Lu-ning / Han, Li / Shen, Rong / Lu, Kun-quan -- Aircraft Target Detection in Remote Sensing Images towards Air-to-Ground Dynamic Imaging / Wu, Jinxia / Song, Fei / Qin, Shiyin -- A New Third-order Explicit Symplectic Scheme for Hamiltonian Systems / Liu, Xiao-mei / Zhu, Shuai -- Research on Terahertz Scattering Characteristics of the Precession Cone / Yang, Qi / Qin, Yu-liang / Deng, Bin / Wang, Hong-qiang -- Application Development of 3D Gesture Recognition and Tracking Based on the Intel Real Sense Technology Combing with Unity3D and WPF / Cheng, Chun-yu / Sheng, Meng-lin / Yu, Zong-min / Zhang, Wen-xuan / Li, An-qi / Wang, Kai-yu

Anbieter: Dodax
Stand: 07.06.2020
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Digital Electronics for Musicians
40,65 € *
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This is the perfect book for musicians who want to dive into the world of computer music and physical computing. This book is aimed at adventurous musicians who want to learn about music programming with Arduino, sensors, and Pure Data, and how to make new interfaces and even new instruments with that knowledge. You'll learn the basics of the Pure Data and Arduino languages, how to incorporate sensors into your musical projects, and how to use embedded computers, like the Raspberry Pi, to create stand-alone projects. Along the way, you'll learn how to create a variety of innovative musical projects, including an interactive bow for stringed instruments, a MIDI clavier synthesizer, an interactive drum set, a patch-bay matrix synthesizer, a guitar looper, and even a DIY theremin. If you are a musician or tinkerer who wants to explore the world of electronic and electroacoustic music and musical interfaces with Arduino, sensors, and Pure Data, Digital Electronics for Musicians is the book for you. What You Will Learn Learn the basics of the Pure Data and the Arduino languagesLearn more about the available sensors on the market, and how you can incorporate them into your musical projectsFocus on physical computing by combining Arduino and Pure Data, bringing the physical world to the world of the computersMake use of additional libraries that extend the capabilities of the ArduinoMake use of external objects in Pure Data that help achieve certain goals, depending on the projectLearn how a Pure Data patch functions and be able to modify other people's work that fits your needsLearn how the Arduino language works, enabling the modification of already existing code, according to your needsGet insight on the serial communication between the Arduino and Pure DataLearn how to approach various programming challenges in different ways Who This is For Musicians who want to explore the world of electronic and electroacoustic music and musical interfaces with Arduino, sensors, and Pure Data.

Anbieter: Dodax
Stand: 07.06.2020
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Digital Electronics for Musicians
47,90 CHF *
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This is the perfect book for musicians who want to dive into the world of computer music and physical computing. This book is aimed at adventurous musicians who want to learn about music programming with Arduino, sensors, and Pure Data, and how to make new interfaces and even new instruments with that knowledge. You'll learn the basics of the Pure Data and Arduino languages, how to incorporate sensors into your musical projects, and how to use embedded computers, like the Raspberry Pi, to create stand-alone projects. Along the way, you'll learn how to create a variety of innovative musical projects, including an interactive bow for stringed instruments, a MIDI clavier synthesizer, an interactive drum set, a patch-bay matrix synthesizer, a guitar looper, and even a DIY theremin. If you are a musician or tinkerer who wants to explore the world of electronic and electroacoustic music and musical interfaces with Arduino, sensors, and Pure Data, Digital Electronics for Musicians is the book for you. What You Will Learn Learn the basics of the Pure Data and the Arduino languages Learn more about the available sensors on the market, and how you can incorporate them into your musical projects Focus on physical computing by combining Arduino and Pure Data, bringing the physical world to the world of the computers Make use of additional libraries that extend the capabilities of the Arduino Make use of external objects in Pure Data that help achieve certain goals, depending on the project Learn how a Pure Data patch functions and be able to modify other people's work that fits your needs Learn how the Arduino language works, enabling the modification of already existing code, according to your needs Get insight on the serial communication between the Arduino and Pure Data Learn how to approach various programming challenges in different ways Who This is For Musicians who want to explore the world of electronic and electroacoustic music and musical interfaces with Arduino, sensors, and Pure Data.

Anbieter: Orell Fuessli CH
Stand: 07.06.2020
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Cognitive Assessment
65,80 € *
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This book introduces a new methodology for the analysis of test results. Free from ambiguous interpretations, the results truly demonstrate an individual's progress. The methodology is ideal for highlighting patterns derived from test scores used in evaluating progress. Dr. Tatsuoka introduces readers to the Rule Space Method (RSM), a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. RSM converts item response patterns into attribute mastery probabilities. RSM is the only up-to-date methodology that can handle large scale assessment for tests such as the SAT and PSAT. PSAT used the results from this methodology to create cognitively diagnostic scoring reports. In this capacity, RSM helps teachers understand what scores mean by helping them ascertain an individual's cognitive strengths and weaknesses. For example, two students may have the exact same score, but for different reasons. One student might excel at processing grammatically complex texts but miss the main idea of the prose, while another excels at understanding the global message. Such knowledge helps teachers customize a student's education to his or her cognitive abilities. RSM is also used for medical diagnoses, genetics research, and to help classify music into various states of emotions for treating mental problems. The book opens with an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. The Q-matrix theory is then introduced followed by the Rule Space method. Various properties of attribute mastery probabilities are then introduced along with the reliability theory of attributes and its connection to classical and item response theory. The book concludes with a discussion of how the construct validity of a test can be clarified with the Rule Space method. Intended for researchers and graduate students in quantitative, educational, and cognitive psychology, this book also appeals to those in computer science, neuroscience, medicine, and mathematics. The book is appropriate for advanced courses on cognometrics, latent class structures, and advanced psychometrics as well as statistical pattern recognition and classification courses taught in statistics and/or math departments.

Anbieter: Thalia AT
Stand: 07.06.2020
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Cognitive Assessment
65,80 € *
ggf. zzgl. Versand

This book introduces a new methodology for the analysis of test results. Free from ambiguous interpretations, the results truly demonstrate an individual's progress. The methodology is ideal for highlighting patterns derived from test scores used in evaluating progress. Dr. Tatsuoka introduces readers to the Rule Space Method (RSM), a technique that transforms unobservable knowledge and skill variables into observable and measurable attributes. RSM converts item response patterns into attribute mastery probabilities. RSM is the only up-to-date methodology that can handle large scale assessment for tests such as the SAT and PSAT. PSAT used the results from this methodology to create cognitively diagnostic scoring reports. In this capacity, RSM helps teachers understand what scores mean by helping them ascertain an individual's cognitive strengths and weaknesses. For example, two students may have the exact same score, but for different reasons. One student might excel at processing grammatically complex texts but miss the main idea of the prose, while another excels at understanding the global message. Such knowledge helps teachers customize a student's education to his or her cognitive abilities. RSM is also used for medical diagnoses, genetics research, and to help classify music into various states of emotions for treating mental problems. The book opens with an overview of cognitive assessment research and nonparametric and parametric person-fit statistics. The Q-matrix theory is then introduced followed by the Rule Space method. Various properties of attribute mastery probabilities are then introduced along with the reliability theory of attributes and its connection to classical and item response theory. The book concludes with a discussion of how the construct validity of a test can be clarified with the Rule Space method. Intended for researchers and graduate students in quantitative, educational, and cognitive psychology, this book also appeals to those in computer science, neuroscience, medicine, and mathematics. The book is appropriate for advanced courses on cognometrics, latent class structures, and advanced psychometrics as well as statistical pattern recognition and classification courses taught in statistics and/or math departments.

Anbieter: Thalia AT
Stand: 07.06.2020
Zum Angebot
Digital Electronics for Musicians
41,20 € *
ggf. zzgl. Versand

This is the perfect book for musicians who want to dive into the world of computer music and physical computing. This book is aimed at adventurous musicians who want to learn about music programming with Arduino, sensors, and Pure Data, and how to make new interfaces and even new instruments with that knowledge. You'll learn the basics of the Pure Data and Arduino languages, how to incorporate sensors into your musical projects, and how to use embedded computers, like the Raspberry Pi, to create stand-alone projects. Along the way, you'll learn how to create a variety of innovative musical projects, including an interactive bow for stringed instruments, a MIDI clavier synthesizer, an interactive drum set, a patch-bay matrix synthesizer, a guitar looper, and even a DIY theremin. If you are a musician or tinkerer who wants to explore the world of electronic and electroacoustic music and musical interfaces with Arduino, sensors, and Pure Data, Digital Electronics for Musicians is the book for you. What You Will Learn Learn the basics of the Pure Data and the Arduino languages Learn more about the available sensors on the market, and how you can incorporate them into your musical projects Focus on physical computing by combining Arduino and Pure Data, bringing the physical world to the world of the computers Make use of additional libraries that extend the capabilities of the Arduino Make use of external objects in Pure Data that help achieve certain goals, depending on the project Learn how a Pure Data patch functions and be able to modify other people's work that fits your needs Learn how the Arduino language works, enabling the modification of already existing code, according to your needs Get insight on the serial communication between the Arduino and Pure Data Learn how to approach various programming challenges in different ways Who This is For Musicians who want to explore the world of electronic and electroacoustic music and musical interfaces with Arduino, sensors, and Pure Data.

Anbieter: Thalia AT
Stand: 07.06.2020
Zum Angebot