A brief treatise containing some grounds and reasons against two errors of the Anabaptists [[electronic resource] ] : I. the one, concerning baptisme of infants, II. the other, concerning Anabaptisme of elder people / / by Francis Johnson .

• Record Nr.: UNISA996393527203316
• Autore: Johnson Francis <1562-1618.>
• Pubbl/distr/stampa: London, : Printed by M.S. for B. Allen, and are to be sold at his shop ..., 1645
• Descrizione fisica: [8], 16 p
• Soggetti: Infant baptism; Baptism; Anabaptists
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Running title: A brief treatise against the Anabaptists.; Reproduction of original in Thomason Collection, British Library.; Marginal notes.
• Sommario/riassunto: eebo-0158

Advances in Computational Vision and Robotics : Proceedings of the International Conference on Computational Vision and Robotics / / edited by George A. Tsihrintzis, Margarita N. Favorskaya, Roumen Kountchev, Srikanta Patnaik

• Record Nr.: UNINA9910751387303321
• Autore: Tsihrintzis George A
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• ISBN: 9783031386510
• Edizione: [1st ed. 2023.]
• Descrizione fisica: 1 online resource (549 pages)
• Collana: Learning and Analytics in Intelligent Systems, , 2662-3455 ; ; 33
• Altri autori (Persone): FavorskayaMargarita N; KountchevRoumen; PatnaikSrikanta
• Disciplina: 006.37
• Soggetti: Automatic control; Robotics; Automation; Computational intelligence; Computer vision; Control, Robotics, Automation; Computational Intelligence; Computer Vision
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- ICCVR-2023 Conference Committee -- Preface -- Acknowledgements -- About This Book -- Contents -- About the Editors -- Part I Pattern Recognition and Robotic Vision -- 1 Design of Piano Automatic Accompaniment System Based on Markov Model -- 1.1 Introduction -- 1.2 Methodology -- 1.2.1 Related Theory of Algorithmic Composition -- 1.2.2 Automatic Piano Accompaniment System Based on HMM -- 1.3 Result Analysis and Discussion -- 1.4 Conclusions -- References -- 2 3D Visual Design of Music Based on Multi-audio Features -- 2.1 Introduction -- 2.2 Methodology -- 2.2.1 Audio Visualization Method -- 2.2.2 Multi-audio Feature Extraction of Music -- 2.3 Result Analysis and Discussion -- 2.4 ; Conclusions -- References -- 3 Construction of Humming Music Retrieval Model Based on Particle Swarm Optimization -- 3.1 Introduction -- 3.2 Related Music Knowledge in Humming Music Retrieval -- 3.2.1 Elements of Sound -- 3.2.2 The Relationship and Difference Between Voice Signals and Humming Music Signals -- 3.3 Constructing a Humming Music Retrieval Model -- 3.3.1 Basic Framework -- 3.3.2 Model Application -- 3.4 Conclusions -- References -- 4 Research on Audio Processing Method Based on 3D Technology -- 4.1 Introduction -- 4.2 Audio Processing Method Based on 3D Technology -- 4.3 Result Analysis and Discussion -- 4.4 Conclusions -- References -- 5 Design and Optimization of Point Cloud Registration Algorithm Based on Stereo Vision and Feature Matching -- 5.1 Introduction -- 5.2 Research Method -- 5.2.1 Stereo Vision Model -- 5.2.2 Feature Matching Based on Stereo Vision -- 5.3 Experiment and Analysis -- 5.4 Conclusion -- References -- 6 Design of 3D Point Cloud Real-Time Cloud Matching Algorithm Based on Multi-scale Feature Extraction -- 6.1 Introduction -- 6.2 Research Method -- 6.2.1 Multiscale Feature Extraction.; 6.2.2 Real-Time Cloud Matching Acceleration of 3D Point Cloud -- 6.3 Experimental Analysis -- 6.4 Conclusion -- References -- 7 Design of Digital Music Copyright Protection System Based on Blockchain Technology -- 7.1 Introduction -- 7.2 Research Method -- 7.2.1 System Overall Design -- 7.2.2 Key Technology Realization -- 7.3 Result Analysis -- 7.4 Conclusion -- References -- 8 Personalized Music Recommendation Model Based on Collaborative Filtering Algorithm and K-Means Clustering -- 8.1 Introduction -- 8.2 Collaborative Filtering Algorithm -- 8.3 Design of Personalized Music Recommendation Model -- 8.4 Implementation of a Personalized Music Recommendation Model -- 8.4.1 Personalized Music Model Recommendation Process -- 8.4.2 Result Analysis -- 8.5 Conclusions -- References -- 9 Simulation of Fuzzy Calculation Model of Music Emotion Based on Improved Genetic Algorithm -- 9.1 Introduction -- 9.2 Simulation Research on Fuzzy Computing Model of Music Emotion -- 9.2.1 Quantitative Research on Musical Emotion -- 9.2.2 Construction of a Fuzzy Computing Model for Music Emotion -- 9.3 Simulation of Fuzzy Calculation Model of Music Emotion Based on Improved GA -- 9.3.1 Improved GA Model -- 9.3.2 Analysis of Experimental Results -- 9.4 Conclusion -- References -- 10 Design and Implementation of Piano Performance Automatic Evaluation System Based on Support Vector Machine -- 10.1 Introduction -- 10.2 Methodology -- 10.2.1 Related Technical Basis -- 10.2.2 Design and Implementation of Automatic Assessment System for Piano Performance -- 10.3 Result Analysis and Discussion -- 10.4 Conclusions -- References -- 11 Simulation of Music Personalized Recommendation Model Based on Collaborative Filtering -- 11.1 Introduction -- 11.2 Simulation of Music Personalized Recommendation Model -- 11.2.1 Basic Theory of Music Recommendation System.; 11.2.2 Personalized Recommendation System and Related Technologies -- 11.3 Simulation of Music Personalized Recommendation Model Based on CF -- 11.3.1 Collaborative Filtering Algorithm -- 11.3.2 Analysis of Experimental Results -- 11.4 Conclusion -- References -- 12 Design and Optimization of Image Recognition and Classification Algorithm Based on Machine Learning -- 12.1 Introduction -- 12.2 Image Classification and Retrieval Method Based on Image Visual Features -- 12.2.1 Theoretical Basis of Machine Learning Recognition Algorithm -- 12.2.2 Research on Virtual Sample Algorithm in Image Recognition -- 12.3 Image Retrieval Method Combining Machine ; Learning with Image Visual Features -- 12.3.1 Image Recognition Advertising Classification Algorithm Model -- 12.3.2 Experimental Analysis Results -- 12.4 Conclusion -- References -- 13 Design of Path Planning Algorithm for Intelligent Robot Based on Chaos Genetic Algorithm -- 13.1 Introduction -- 13.2 Concept and Principle of Chaotic Genetic Algorithm -- 13.3 Path Planning Method -- 13.3.1 Coding Based on Geographic Information -- 13.3.2 Simplification of Robot Control Parameters -- 13.4 Simulation Study -- 13.5 Conclusions -- References -- 14 Design and Development of Rail Transit Overhead Contact Line Monitoring System Based on Image Processing -- 14.1 Introduction -- 14.2 Related Concepts -- 14.2.1 Catenary -- 14.2.2 Image Processing Technology -- 14.3 System Design -- 14.3.1 Overall Scheme Design -- 14.3.2 Monitoring Preprocessing Module -- 14.3.3 Monitoring Terminal Energy Consumption Analysis -- 14.4 System Implementation -- 14.4.1 Monitoring Terminal Energy-Saving Mode -- 14.4.2 System Performance Test -- 14.5 Conclusion -- References -- 15 Ultrasonic Signal Processing Method for Transformer Oil Based on Improved EMD -- 15.1 Introduction -- 15.2 Tests and Methods -- 15.2.1 Ultrasonic Testing.; 15.2.2 Ultrasonic Signal Processing Method Based on Improved EMD -- 15.3 Results and Discussion -- 15.4 Conclusion -- References -- 16 Research on UHV Transmission Line Selection Strategy Aided by Satellite Remote Sensing Image -- 16.1 Introduction -- 16.2 Research Method -- 16.2.1 Data Processing -- 16.2.2 Precise Correction of RS Image -- 16.2.3 Transmission Line Path Optimization -- 16.3 Accuracy Analysis -- 16.4 Conclusions -- References -- 17 Research on the Evaluation of the Teaching Process of Public Physical Education in Universities Based on Markov Model -- 17.1 Introduction -- 17.2 Research Method -- 17.2.1 Establishment of Evaluation Index System -- 17.2.2 Markov Model -- 17.3 An Example of Evaluation of Public PE Class Teaching Process -- 17.4 Conclusion -- References -- Part II Artificial Intelligence and Deep Learning Application -- 18 Simulation Design of Matching Model Between Action and Music Tempo Characteristics Based on Artificial Intelligence Algorithm -- 18.1 Introduction -- 18.2 Methodology -- 18.2.1 Basic Technology of Artificial Intelligence -- 18.2.2 Construction of Matching Model Between Dance Actions and Music Tempo Characteristics -- 18.3 Result Analysis and Discussion -- 18.4 Conclusions -- References -- 19 Design and Optimization of Frequency Identification Algorithm for Monomelody Musical Instruments Based on Artificial Intelligence Technology -- 19.1 Introduction -- 19.2 Methodology -- 19.2.1 Overall Structure of Audio Features -- 19.2.2 Frequency Identification Algorithm of Musical Instruments in Single Melody Music -- 19.3 Result Analysis and Discussion -- 19.4 Conclusion -- References -- 20 Design of Intelligent Evaluation Algorithm for Matching Degree of Music Words and Songs Based on Grey Clustering -- 20.1 Introduction -- 20.2 Methodology -- 20.2.1 Representation and Extraction of Melody Features.; 20.2.2 Digital Music Signal Denoising Algorithm -- 20.3 Result Analysis and Discussion -- 20.4 Conclusion -- References -- 21 Construction of Evaluation Model for Singing Pronunciation Quality Based on Artificial Intelligence Algorithms -- 21.1 Introduction -- 21.2 Two Evaluation Systems Based on Artificial Intelligence Algorithm -- 21.2.1 Objective Evaluation Based on the Extraction of Evaluation Parameters of Singing Voice -- 21.2.2 An Objective Evaluation Mechanism Based on Subjective Evaluation Criteria Quantification -- 21.3 Evaluation Model of Singing Pronunciation Quality -- 21.4 Analysis ; of Experimental Results -- 21.5 Conclusions -- References -- 22 Design and Optimization of Intelligent Composition Algorithm Based on Artificial Intelligence -- 22.1 Introduction -- 22.2 Model and Algorithm Design -- 22.2.1 Music Feature Extraction -- 22.2.2 Intelligent Composition Algorithm -- 22.3 Result Analysis and Discussion -- 22.4 Conclusions -- References -- 23 Design of Computer-Aided Music Generation Model Based on Artificial Intelligence Algorithm -- 23.1 Introduction -- 23.2 Research Method -- 23.2.1 Data Preprocessing -- 23.2.2 Implementation of AI Algorithm -- 23.3 Experimental Analysis -- 23.4 Conclusion -- References -- 24 Construction of Electronic Music Classification Model Based on Machine Learning and Deep Learning Algorithm -- 24.1 Introduction -- 24.2 Constructing EM Classification Model -- 24.2.1 Overall Structural Design -- 24.2.2 Multi Layer Perceptual Feature Classification Processing -- 24.3 Construction of EM Classification Model Based on ML and DL Algorithms -- 24.3.1 NN Algorithm Model for ML Optimization -- 24.3.2 Analysis of Experimental Results -- 24.4 Conclusion -- References -- 25 Design of Piano Automatic Accompaniment System Based on Artificial Intelligence Algorithm -- 25.1 Introduction -- 25.2 Research Method.; 25.2.1 Design of Piano Automatic Accompaniment Algorithm.
• Sommario/riassunto: Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles from the following domain: i. Pattern recognition and Robotic Vision. ii. Artificial Intelligence and Deep Learning application. iii. Big Data Application in Robotics. iv. Deep Learning and Neural Network. Authors from the area of Particle Swarm Optimization, Defect Detection, Gesture Information Collection, Image Processing and Remote Sensing, Melody Recognition, Convolution Neural Network and Satellite Image processing etc. have contributed their research outcomes.