The goal of this project is to create an autonomous system that will dispense pills of various sizes and shapes. The overall objective is to utilize the invention to assist in dispersing the appropriate amount of medication for prescribed patients at designated times. It is imperative to take the proper amount of medicine at the specific times prescribed. In today's fast-paced world, it is easy to forget to keep track of simple tasks, such as taking the necessary medications needed for individuals with certain conditions. As people grow older, the ability to recall every day's tasks begins to deteriorate. The autonomous pharmaceutical dispenser will utilize a mechanism that consists of an x, y, and z-axis movement to maneuver a suction unit to transport pills from a capsule to a delivery location. Bresenham's line algorithm will be used to control the motors of the 3D axes movement systems. The dispenser will be able to store a month's supply of tablets with the ability to dispense up to twelve different types of medicines. The system will come with a wireless gadget that will receive notifications from the distributor, alerting the patient to take their medication. In case the user forgets to take his or her medication, the portable device will receive a message. Moreover, an excel spreadsheet will record a detailed summary of the administered medicine. The objective is to create a cost-effective and reliable alternative product for patients to use for their medical needs.
SSpace is a MATLAB toolbox for State Space modelling that provides the user with tools for linear Gaussian, non-linear and non-Gaussian systems with the most advanced and up-to-date features available in any State Space framework. Great flexibility is achieved because each model is coded on a standard MATLAB function, thence having absolute control on particular parameterizations, parameter constraints, time variation of parameters or variances, arbitrary non-linear relations with inputs, time aggregation, nested models, system concatenation, etc. The toolbox may be used by specifying State Space systems from scratch or by using ready-to-use templates for standard methods (like VARMAX, exponential smoothing, unobserved components, dynamic linear regression, etc.). The toolbox is freely available via a public code repository with full documentation and help system. This chapter demonstrates the toolbox's potential with several examples.
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