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Contouring control based on task coordinate frames (TCF) can improve the contouring performance directly by strengthening the tracking capability along contour-following direction. A novel task polar coordinate frame (TPCF) is proposed for the biaxial system contouring control, based on circular approximation. Compared with the classical TCF using tangent line approximation, TPCF can achieve more...
This paper presents the optimal design of the flying and adhesive robot, which is strongly needed by various industries and public security authorities. The power and payload of this kind of robots are always challenging research problems. Currently, the adhesion device in the robot can hold about 1.6kg payloads on the wall with about 3.5W power consumption. To further improve the robot's performance,...
Recently, we proposed an effective geometrical method for separating linear instantaneous mixtures of non-negative sources, termed Simplicial Cone Shrinking Algorithm for Unmixing Non-negative Sources (SCSA-UNS). The latter method operates in noiseless case, and estimates the mixing matrix and the sources by finding the minimum aperture simplicial cone, containing the scatter plot of mixed data. In...
The LANDMARC system is a radio frequency identification (RFID) based location system and has attracted great attention recently. In our implementation of the LANDMARC system, we have observed that some unusual large errors occur in the traditional LANDMARC. Thus, in this study, we proposed ways of resolving these problems. There are two major ideas proposed in this study. The first one is to forsake...
Despite the advancement of research and development on multi-robot teams, a key challenge still remains as to how to develop effective mechanisms that enable the robots to autonomously generate, adapt, and enhance team behaviours while improving their individual performance simultaneously. To address this issue, a cooperative learning algorithm is modified in this paper to accommodate for the individualistic...
Motion History Images(MHI) are extensively being used to represent the history of temporal changes involved in the execution of an activity. Here the intensity of the pixels of a scalar valued image are varied, depending upon the motion history. MHI suffers from a very prominent drawback that when self-occluding or over-writing activities are encountered it fails to generate a vivid description of...
There is an ever-increasing demand on mobile wireless operators to provide voice and high-speed data services and to support more users per base station to reduce overall network costs and make the services affordable to subscribers. Smart antenna technology offers a significantly improved solution to reduce interference levels and improve the system capacity. These systems of antennas include different...
In this paper a procedure for construction of full order observer for linear time invariant system represented by state space description is proposed. The construction procedure makes use of the theory of generalized matrix inverse and does not presuppose the observer structure and impose no restriction on the structure of the system output matrix. The construction is straightforward and easy. Illustrative...
Due to the dynamic nature of the web plenty of webpages are deleted and added newly and as the web is large collection of data in form of the webpages or in the group of webpages as websites. So every time a surfer searches the web using the search engine, the data should be fresh and relevant. Due to the large size of web, corresponding to any query made by the user number of pages are being retrieved...
Content Delivery Networks (CDNs) serve a large fraction of Internet traffic today improving user-perceived response time and availability of content. With tens of CDNs competing for content producers, it is important to understand the game played by these CDNs and whether the game is sustainable in the long term. In this paper, we formulate a game-theoretic model to analyze price competition among...
In this paper, we proposed intensity comparison based compact descriptor for mobile visual search. For practical mobile applications, the low complexity and the descriptor size are more preferable, and many algorithms such as SURF, CHoG, and PCA-SIFT have been proposed. However, these approaches focused on not the feature description but the extraction time and the size of the feature. This paper...
This paper proposes a novel framework to calibrate cameras and model a scene simultaneously using both self-calibration constraints and geometric information on parallelograms. The proposed method is a factorization-based approach solving the problem by decomposing a measurement matrix into camera and parallelogram parameters. Since the factorizationbased approach recovers all camera poses simultaneously,...
In this paper, the proposed method aims to implement an adaptive loop by combining the PID and DELTA rule. Here the DELTA rule is implemented by using an Adaptive Linear Neural Neuron (ADALINE). ADALINE's weights are adjusted by using the output of PID controller. An inverted pendulum which consists of a cart hinged to a pole is used here as one of the plants. An uncertain model of inverted pendulum...
This paper presents a new algorithm based on characteristic equation of solar cells to determine the Maximum Power Point (MPP) of PV modules under partially shaded conditions (PSC). To achieve this goal, an analytic condition is introduced to determine uniform or non-uniform atmospheric conditions quickly. This paper also proposes an effective and quick response technique to find the MPP of PV array...
This paper proposes an improved space vector pulse width modulation (PWM) control method for a 4-switch single-phase to three-phase converter using a Quasi Z-source (QZs) network that can be utilized in induction motor drive applications. Without using any extra filtering circuits, this method can work well to reject the effect of DC-link voltage ripple on the inverter output voltage, which can be...
This paper utilize two novel optimization techniques namely Particle Swarm Optimization (PSO) and Craziness based Particle Swarm Optimization (CRPSO) to find the optimum location and optimum size of single and two Distributed generator (DG) in distribution system. Minimization of active power loss in distribution network is carried out through DG placement. The method is tested with two standard IEEE...
This paper presents theoretical analysis characteristics and optimal design procedure of half-bridge LLC loaded resonant converter. This theoretical analysis had been verified with simulation work by using MATLAB/Simulink 2011. The converter design is aim to achieve Zero-Voltage-Switching (ZVS) for low applications. The converter designed is operated below resonant frequency with specified load at...
A distinctive optimization technique known as Ant Colony Optimization (ACO) has gained huge popularity in these recent years. This algorithm has turned into a candidate approach to many optimization problems. Unfortunately, this attractive algorithm suffers several drawbacks, including stagnation and slow convergence toward optimal solution. Thus, a new algorithm, termed as Differential Evolution...
In this paper we provide two small-gain theorems for impulsive systems. The first of them provides a construction of an ISS-Lyapunov function for interconnections of impulsive systems if ISS-Lyapunov functions for subsystems are given and a small-gain condition holds. If, in addition, these given ISS-Lyapunov functions are exponential then the second theorem provides a construction of an exponential...
Different classes of multipliers have been proposed in the literature for obtaining stability criteria using passivity theory, integral quadratic constraint (IQC) theory or Lyapunov theory. Some of these classes of multipliers can be applied with slope-restricted nonlinearities. In this paper the concept of phase-containment is defined and it is shown that several classes are phase-contained within...
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