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CIM in universities. Academic and pedagogical options in CIM laboratory. Software Engineers Mechanical Engineers Electronics engineers Industrial Engineering Integration between different concepts and technologies. 3D Graphic Display (real time and over the web) Real time software
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CIM in universities Academic and pedagogical options in CIM laboratory
Software Engineers • Mechanical Engineers • Electronics engineers • Industrial Engineering Integration between different concepts and technologies
3D Graphic Display (real time and over the web) Real time software ERP software .. Simulation Software Web access and control Data mining Artificial Intelligence: Statistical analysis HMI: Human-Machine Interfaces Introduction To Probability Data bases and Information Systems (עיצוב וניהול בסיסי נתונים ) Image Processing and Image analysis Software
3D Graphic Display • Rendering a 3D world: Object, camera, Point of view. • Computational geometric (גאומטריה חישובית): Translation, Rotation and scaling (Matrix) • Computational Complexity (סיבוכיות חישובית ) and optimization .(Millions of calculation to display single frame) • Modeling, presentation and simulation Back to software
Real-time software • PLC Programs • Robot control and programming • Integration of different devices: Magnetic sensor on the conveyer detected pallet and initiate robotic program • Integration of complicated system() Back to software
ERP software • Basic concepts; MRP, CRM, ERP, SCM etc. • Use and understand the included MRP software. • Integrate with other ERP (SAP, Oracle etc) • Write specific module (CRM, MRP ..) : From scratch, based on ours open sources or other Back to software
Simulation software • Logic Simulation and Graphic Simulation • Modeling, presentation and simulation :Simulation of shape, operation and integration of different objects. • Open source for Dispatching and Scheduling algorithmic Back to software
Web access and control • Web based data entry (thin client architecture) • Real time 3D display over the internet (Browser based client server architecture) • Monitoring over the web • Operation and control over the web Back to software
Data mining • Tracking, logging, and storing data • Data warehouse: multiple data sources. • Data integrity and validity.
Artificial Intelligence: • Decision system , and Decision support systems • Scheduling and dynamic scheduling • Dynamic and adaptive control • Machine vision Back to software