Touch Screen Technology and its Driver Design in uCLinux

2013 ◽  
Vol 303-306 ◽  
pp. 2397-2402
Author(s):  
Shu Wu
Keyword(s):  
State Transition ◽  
Touch Screen ◽  
The State ◽  
Working Process ◽  
Working Mechanism ◽  
Input System ◽  
Microcontroller Unit ◽  
Screen Touch

Touch screen input system about hardware connection and driver design in uCLinux were presented in this work. With the respect of hardware, it introduced working mechanism of four-wire resistive touch screen and method of calculating coordinate. Then it presented the hardware connection of touch screen input system including touch screen, touch screen control chip and Microcontroller Unit. With respect of software, it analyzed the characteristic of driver design in uCLinux. Then it divided touch screen working process into six states which were ‘start’, ‘idle’, ‘wait’, ‘read’, ‘error’, ‘end’ and defined the state transition. On this basis, Touch screen driver design was introduced, which mainly included initialization function, clean function, device-opening function, device-releasing function, coordinates-reading function and parameters-setting function. It also gave the arithmetic converting touch screen coordinate to application coordinate.

Numerical Algebra Solution: A New Algorithm for the State Transition Matrix

2017 ◽  
Vol 60 (12) ◽  
pp. 2620-2629 ◽  
Author(s):  
Wenfeng Nie ◽  
Tianhe Xu ◽  
Yujun Du ◽  
Fan Gao ◽  
Guochang Xu
Keyword(s):  
Transition Matrix ◽  
State Transition ◽  
The State ◽  
State Transition Matrix ◽  
Numerical Algebra

scholarly journals Reliability and Random Lifetime Models of Planetary Gear Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Peng Gao ◽  
Liyang Xie ◽  
Wei Hu
Keyword(s):  
Load Distribution ◽  
Planetary Gear ◽  
Working Process ◽  
Random Load ◽  
Working Mechanism ◽  
Dynamic Reliability ◽  
Reliability Models ◽  
Process Failure ◽  
Failure Dependence ◽  
Gear Systems

Conventional reliability models of planetary gear systems are mainly static. In this paper, dynamic reliability models and random lifetime models of planetary gear systems are developed with dynamic working mechanism considered. The load parameters, the geometric parameters, and the material parameters are taken as the inputs of the reliability models and the random lifetime models. Moreover, failure dependence and dynamic random load redistributions are taken into account in the models. Monte Carlo simulations are carried out to validate the proposed models. The results show that the randomness of the load distribution is obvious in the system working process. Failure dependence has significant influences on system reliability. Moreover, the dispersion of external load has great impacts on the reliability, lifetime distribution, and redundancy of planetary gear systems.

scholarly journals NuSTAROBSERVATIONS OF THE STATE TRANSITION OF MILLISECOND PULSAR BINARY PSR J1023+0038

2014 ◽  
Vol 791 (2) ◽  
pp. 77 ◽  
Author(s):  
Shriharsh P. Tendulkar ◽  
Chengwei Yang ◽  
Hongjun An ◽  
Victoria M. Kaspi ◽  
Anne M. Archibald ◽  
...  
Keyword(s):  
State Transition ◽  
The State ◽  
Millisecond Pulsar

The State Transition Diagram

2012 ◽  
pp. 153-157
Author(s):  
Saul Greenberg ◽  
Sheelagh Carpendale ◽  
Nicolai Marquardt ◽  
Bill Buxton
Keyword(s):  
State Transition ◽  
The State ◽  
Transition Diagram ◽  
State Transition Diagram

A Knowledge-Based Approach to Modelling of Robotic Assembly Cells

Robotica ◽  
1991 ◽  
Vol 9 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Dae-Won Kim ◽  
Bum-Hee Lee ◽  
Myoung-Sam Ko
Keyword(s):  
Knowledge Base ◽  
State Transition ◽  
Knowledge Bases ◽  
The State ◽  
System Structure ◽  
Robotic Assembly ◽  
Knowledge Based ◽  
Job Information ◽  
Assembly Cell ◽  
Transition Map

SUMMARYIn this paper, an approach to modelling of a robotic assembly cell is proposed and a method for managing the cell operation is described using a knowledge base. Since the modelling structure is based on the concept of the state variable, the relationships between states are described by the state transition map (STM). The knowledge-bases for state transition and assembly job information are obtained from the STM and the assembly job tree (AJT), respectively. Using the knowledge-base, the System structure is discussed in relation to both managing the cell operation and evaluating the performances. Finally, a simulation algorithm is presented with the simulation results to show the significance of the proposed modelling approach.

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