Earticle

The Rectenna consisting of Radio Frequency to Direct Current conversion circuit with antenna for the reception of RF signal needs to be designed to realize efficient power transmission with high conversion efficiency. In this paper, main area of work is to design Rectenna using low pass filter circuit with different order of filters. The parameters of the complete system have been calculated by using Matlab. Simulated results using CST have been compared and analyzed for different orders of filters.

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a time. This technique will determine the global minimum value of its objective function and hence gives the optimal value of the gain parameters. The PID controller performance analysis using Ziegler-Nichols Tuning methodology and Genetic Algorithm is also demonstrated in this paper.

We introduce an application-oriented reinforcement learning searching algorithm designed for problem with fast learning and capturing goal in less amount of time especially in robotics and games. The importance of game playing in machine learning is an exhaustive application of autonomous agent in real-world problem domain. In our previous published article represent that how autonomous agent learned through self-training and successful trained agent ready for execution [11].In this paper, we design and proposed a new application-oriented searching algorithm especially for game playing in grid world problem. In which first of all agents train all state and able to capture goal successfully. Reinforcement learning is a type of decision making system that takes decision on the basis of reward or penalty signal and learned from environment. Many games, there are no such things that follow fast learning as well as searching and genuine movement for each step. For every state action agent stored previous values in terms of q values in a look-up table. It helps for agent decision making capability during goal hitting or pray captured in the real-world game. In order to access and simulate new searching algorithms in mat lab and evaluated by comparison with different RL techniques [2, 11-12].

Head Gesture means the position made by the movement of head by considering all its facial geometry as eyes, nose, lips etc. The use of such gesture is to express thought, emotion, etc. Such Head Gesture is very useful / beneficial for the Handicapped / Peoples having Paralysis from neck onwards. For such peoples Hand Gesture Recognition System is not useful. Such peoples give the indications by using their Head Movements. The gesture recognition from the video sequences is one of the most important challenges in the computer vision. It offers to the system, the ability to identify, recognize and interpret the human gestures in order to control some devices. In this paper, we provide a review on gesture recognition with particular emphasis on Head Gestures and Facial Expressions. Applications involving Face Detection, Face Tracking, Gesture Recognition, and Obstacle Detection are discussed in detail.