Security systems and navigators have always been a necessity of human's life. The developments of advanced electronics have brought revolutionary changes in these fields. In this paper, we will present a vehicle tracking system that employs a GPS module and a GSM modem to find the location of a vehicle and offers a range of control features. To complete the design successfully, a GPS unit, two relays, a GSM Modem and two MCU units are used. There are five features introduced in the project. The aim of this project is to remotely track a vehicle's location, remotely switch ON and OFF the vehicle's ignition system and remotely lock and unlock the doors of the vehicle. An SMS message is sent to the tracking system and the system responds to the users request by performing appropriate actions. Short text messages are assigned to each of these features. A webpage is specifically designed to view the vehicle's location on Google maps. By using relay based control concept introduced in this paper, number of control features such as turning heater on/off, radio on/off etc. can be implemented in the same fashion. Index Terms-Tracking, GSM, GPS, Vehicle Tracking, Google Map, Google Tracking, Vehicle Control GPS based Advanced Vehicle Tracking and Vehicle Control System Copyright © 2015 MECS I.J. Intelligent Systems and Applications, 2015, 03, 1-12 of the tracked vehicle is presented in [27].Vehicle tracking coupled with vehicle registration number recognition is introduced in [28]. Following huge demand of accurate vehicle tracking systems, researchers proposed number of novel methods [29], [30], [18] to improve the accuracy of tracking systems. GPS based Advanced Vehicle Tracking and Vehicle Control System

This paper presents the novel design of an ambidextrous robot arm that offers double range of motion as compared to dexterous arms. The arm is unique in terms of design (ambidextrous feature), actuation (use of two different actuators simultaneously: Pneumatic Artificial Muscle (PAM) and Electric Motors)) and control (combined use of Proportional Integral Derivative (PID) with Neural Network (NN) and Multiple Adaptive Neuro‐fuzzy Inference System (MANFIS) controller with selector block). In terms of ambidextrous robot arm control, a solution based on forward kinematic and inverse kinematic approach is presented, and results are verified using the derived equation in MATLAB. Since solving inverse kinematics analytically is difficult, Adaptive Neuro Fuzzy Inference system (ANFIS) is developed using ANFIS MATLAB toolbox. When generic ANFIS failed to produce satisfactory results due to ambidextrous feature of the arm, MANFIS with a selector block is proposed. The efficiency of the ambidextrous arm has been tested by comparing its performance with a conventional robot arm. The results obtained from experiments proved the efficiency of the ambidextrous arm when compared with conventional arm in terms of power consumption and stability.

This paper presents a control strategy to control an Ambidextrous robot arm. The idea is based on combining of Proportional Integral Derivative (PID) with Neural Network (NN) and Multiple Adaptive Neuro-fuzzy Inference (MANFIS) controller with selector block. This unique set of combination is used to solve the problem of inverse kinematics and to get a stable dynamic response in different situations. The results obtained from the experiments proved the effectiveness of the controllers in term of performing multiple tasks and dynamic stability.

No abstract

No abstract