Design of Motorcycle Security System Using Fsr (Force Sensitive Resistor) Sensor, Arduino Uno Microcontroller and Sim800L Module

The background of this research was the crime of rampant cases seizure and motorcycle theft. The aims of this research were to characterize FSR sensor, to make and test of motorcycle security system using FSR sensor, arduino uno microcontroller and SIM800L module. This research was done through five stages: sensor characterization, software development, hardware manufacture, system testing and data processing. The results of this research showed that FSR sensor has characterization of transfer function V=1.29 + 0.04M with r = 0.99 and repeatability equal to 99.34%. In addition, FSR sensor can detect human by ranging from 27.8 kg to 82.3 kg which is equivalent with voltage 2.55 volt to 4.55 volt. Meanwhile, the success rate of motorcycle security system in the process of sending notification was 98% and the success rate of system in taking command to turn on and turn off the motorcycle security system were 97% and 98%.

Reinforcement Learning Based Real-Time Control Policy for Two-Machine-One-Buffer Production System

It is attractive to reduce the total cost of a manufacture system with real-time control of the production. The total cost mainly consists of the production cost, the penalty of the permanent production loss, and the Work-In-Process (WIP) inventory level cost. However, it is difficult to derive an analytical model of manufacture system due to the complexity of starved and blocked phenomena, the random failure and maintenance processes. Therefore, finding a real-time control policy for the manufacture system without exact analytical model is dearly needed. In this paper, a novel reinforcement learning based control decision policy is proposed based on the action of switching the machines on or off at the start of each time slot. Firstly, a simulation model is developed with MTBF and MTTR evaluated from the history data to collect samples. Then, a reinforcement learning method, specifically, Least-Square-Policy-Iteration method, is applied to obtain a sub-optimal policy. The simulation results show that the proposed method performs well in reducing the total cost.

The Agent Based Setup Structure for Agile Manufacture Execution System

Agile manufacture execution system is the centre of whole system. The structure and function of the execution system are analyzed, the characteristics of Agent is also given. The Agent modeling method is used in the system, the function or unit can be transformed into Agent, so the setup structure for execution system of the agile manufacture system is build, and the resources, requirements are all brought into the networks. The systems operation relies on the interaction among the functional Agents.