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Linear Algebra and Optimization with Applications to Machine Learning
Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning
by Jean Gallier and Jocelyn Quaintance
Linear Algebra and Optimization with Applications to Machine Learning
Volume II: Fundamentals of Optimization Theory with Applications to Machine Learning
by Jean Gallier and Jocelyn Quaintance
Application of Omics, AI and Blockchain in Bioinformatics Research
edited by Jeffrey J-P Tsai and Ka-Lok Ng
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RAPID PROTOTYPING TECHNOLOGIES AND LIMITATIONS
Preview AbstractEach rapid prototyping (RP) process has its special and unique advantages and disadvantages. The chapter presents a state-of-the-art study of RP technologies and classifies broadly all the different types of rapid prototyping methods. Subsequently, the fundamental principles and technological limitations of different methods of RP will be closely examined. Comparison of the present and ultimate performance of the rapid prototyping processes will be made so as to highlight the possibility of future improvements for a new generation of RP system.
Analysis and Study of Kinematics of Large-format Laminating Machine
Preview AbstractThe transfer part length of the pushing gauge shall be correspondingly increased with the increase of the paper format. According to the principle of tension degree and buffer length, the chain link number N of the laminating machine 1600 is determined. The drive system drawing is drawn through calculation and analysis of tooth number of each part of the laminating machine. Tooth number of each part is calculated through applying the method of continued fractions, and the original drive system drawing is then modified. Speed and correlation of each element are determined through comparison of the speed of laminating machine 1300 and laminating machine 1600.