Advanced Materials Research Vols. 403-408

Abstract: This paper gives instructions for making complete and efficient control system of AMF bowling machine, it helps decreasing machine cycle time, make the machine energy efficient, reduce error in scoring, perform automatic resetting of machine in the event of power failure, calculating and displaying accurate speed and giving more options for user interface.

Abstract: This paper describes the design of a simple fuzzy logic controller for self balancing robot. The proposed controller is single input, single output controller. The input to the controller is tilt angle and the output forms the speed commands for the motors. The controller is designed using MATLAB and implemented with a low cost readily available AT89C52 microcontroller. Results have proved the validity of the proposed controller for balancing the robot.

Abstract: The continuous change in power demand and supply altered the power flow patterns in transmission networks in such a way that some of the corridors are lightly loaded and some of the corridors get over loaded. This raises serious challenge in operating the power system in secure and reliable manner. To cope with this problem Flexible AC Transmission Systems (FACTS) is used. It plays a very important role in improving the power system operating performance. In this paper load flow models for STATCOM and SVC have been developed. Power flow study of a five bus system is carried out with and without FACTS controllers. Results of the power flow studies are obtained with MATLAB programming.

Abstract: We propose an auto-tuning PID (APID) controller with nonlinear gain. Its proportional, integral, and derivative gains are parameterized online by a nonlinear updating factor. Both performance and stability robustness of APID are studied with reasonable perturbations in model as well as controller parameters. Effectiveness of the proposed APID is tested through simulation study as well as its real-time implementation on a practical position control system.

Abstract: Autonomous Security robots (ASR) can be used to provide security where and when it is too hazardous to the human security guards. The paper is suggesting the introduction/incorporation of ASR into the Niger Delta security system (NDSS). Critical points (where ASR are needed) within the zones are identified based on the past security records. These records served as baseline data which regression lines are generated and produced into some future dates. How many ASR are required at a particular time in the system Is the number feasible What are the likely obstructions of the project These are some fundamental questions attempted in the paper to evolve a critical and optimal location for every security robot deployed to serve in the system. The paper is proposing ASR that will play preventive roles.

Abstract: Within the frame of this work, the problem of control of LSS (Linear Stationary Stochastic) SISO (Single Input Single Output) systems with active constraints at input and/or output has been researched. Motivation to solving this problem comes from the fact that there is no universal solution to the problem even LSS SISO systems with constraints are very common in practice. Defined control problem is solved using characteristics of LSS SISO systems and square forms. Considering that such systems are very common in practice, created solution would be widely applicable.

Abstract: Complex, imprecise, ill-defined and uncertain systems can be identified by fuzzy modeling. The identification of such a linguistic model consists of two parts; structure identification and parameter estimation. In this paper, we proposed Self-Organizing Map (SOM) clustering technique for structure identification. Initial parameters of the input-output membership functions (MFs) will be estimated from the clustering results. In the process of proto-type generation, the gradient descent method is used to refine and tune the parameters effectively. The proposed scheme has been successfully tested to identify the rules required to realize the gain factor of self-tuning fuzzy PI controller, which is highly non-linear in nature. Here, the system identification method is integrated with rule extraction method in such a way that it can pick up required rules from any processes. Finally, examples of various systems are given to illustrate the effectiveness of the proposed approach.

Abstract: A direct-conversion ultra-wideband (UWB) trans-ceiver for Mode 1 OFDM applications employs three resonant networks and three phase-locked loops. Using a common-gate input stage, the receiver allows direct sharing of the antenna with the transmitter. Designed in 0.13- m CMOS technology, the transceiver provides a total gain of 69–73 dB and a noise figure of 6.5–8.4 dB across three bands, and a TX 1-dB compression point of 10 dBm. The circuit consumes 105 mW from a 1.5-V supply.

Abstract: In this paper we propose multiple cameras using real time tracking for surveillance and security system. It is extensively used in the research field of computer vision applications, like that video surveillance, authentication systems, robotics, pre-stage of MPEG4 image compression and user inter faces by gestures. The key components of tracking for surveillance system are extracting the feature, background subtraction and identification of extracted object. Video surveillance, object detection and tracking have drawn a successful increased interest in recent years. A object tracking can be understood as the problem of finding the path (i.e. trajectory) and it can be defined as a procedure to identify the different positions of the object in each frame of a video. Based on the previous work on single detection using single stationary camera, we extend the concept to enable the tracking of multiple object detection under multiple camera and also maintain a security based system by multiple camera to track person in indoor environment, to identify by my proposal system which consist of multiple camera to monitor a person. Present study mainly aims to provide security and detect the moving object in real time video sequences and live video streaming. Based on a robust algorithm for human body detection and tracking in videos created with support of multiple cameras.

Abstract: Traffic jam has become a serious problem in modern life. More and more people are suffering a psychological disorder called road rage. To help drivers to release the negative emotion, we designed an interactive automobile interface as a visual inference. We established the RSM and RDM model to define the driving conditions, then analysed the different emotional appeals for driving. Here we invited 30 participants to observe and investigate. According to participants’ answers, we chose 5 emotions to correspond to driving conditions. After the implement, a valuation was also carried out to test the interface. It turned out that the interactive automobile interface provided a new driving experience, and the interactive visual inference were effective on releasing the negative emotion like anxiety, anger and depression.