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The influence of CMOS scaling on A/D-converter performance is investigated by observing the entire body of experimental CMOS ADCs reported in IEEE journals and conferences central to the field from 1976 to 2010. Based on the near-exhaustive set of scientific data, empirically observed scaling trends are derived for performance in terms of noisefloor, speed and resolution, as well as for power efficiency...
Vascular disease is a major cause of death, therefore it is desirable to develop robots and simulation tools for catheter trajectory evaluation. Until now trajectory completion duration, catheter tip location, wall deformation, morphology and stress applied to blood vessel phantom wall were identified as evaluation parameters during endovascular surgery simulation. For that purpose image processing...
Ever more students start their master programme with a bachelor degree which does not provide the ideal background for their study. Such students benefit from dedicated help when they have to master advanced topics in automation, control and electrical engineering. Because individual help is adequate but too labour-intensive, a self-study package has been developed by which individual students can...
A lower limbs rehabilitative training robot was designed to improve walking ability of patients who suffer from impairment in locomotion after neurology injuries or aged persons who lack walking capability. The robot was fixed with four omni-directional wheels which can move within any radius in any direction. When the robot is running, some undetected uncertainty disturbances change its running trajectory,...
This paper deals with the trajectory planning of a full-rotate parallel robot for wafer transfer operations. With the path length in work space of the robot as parameter, the dynamic model is parameterized. The system constraints-input torque and velocity constraints and the task constraints-output velocity, acceleration, and jerk limits are set; with the minimized operation time as the optimization...
An improved fractional Brownian motion (fBm) model using fractal geometry is outlined Brownian motion. It produces more realistic flow trajectories than traditional Brownian motion does. The fBm model is used for producing both super diffusive and sub diffusive particle paths, therefore, the non-Fickian diffusion of particle clouds can be modelled. The particle trajectories and clouds are released...
The invariant manifold structures of the libration points for restricted three-body problem will provide the framework for understanding complex dynamical phenomena. These stable and unstable invariant manifold tubes associated to libration point orbits can be used to construct new low-energy spacecraft trajectories. So, in this paper, we will introduce the libration point and its invariant manifolds...
A novel method to diagnose the bearing fault is presented. The proposed method is based on the analysis of the bearing vibration signals using Singular Spectrum Analysis (SSA). SSA is a non-parametric technique of time series analysis that decomposes the acquired bearing vibration signals into an additive set of time series to extract information correlated with the condition of the bearing. Information...
The increasing availability of huge amounts of data pertaining to time and position of moving objects generated by different sources using a wide variety of technologies (e.g., RFID tags, GPS, GSM networks) leads to large spatial data collections. Mining such amounts of data is challenging, since the possibility to extract useful information from this peculiar kind of data is crucial in many application...
In the paper, we firstly give a new accurate spheroid estimation formula of the globally exponentially attractive set for all positive parameters by constructing a generalized positive definite Lyapunov functions with radially unbound. Secondly, based on inequalities techniques, linear feedback control with one input or two inputs is proposed to realize the globally exponential synchronization of...
In this paper, a multifractal approach to the classification of unknown self affine signals is presented as an improvement over traditional traffic signal. The fundamental advantages of using multifractal measures include normalization and a very high compression ratio of a signature of the traffic, thereby leading to faster implementations, and the abiliiy to add new traffic classes without redesigning...
This paper introduces a new chaotic system. Some basic dynamical properties are studied, such as the equilibria, the Lyapunov exponents and the fractal dimension. Based on these properties, effective feedback controllers are proposed for stabilizing chaos to unstable equilibria. In addition, based on Lyapunov stability theory, sufficient condition for the synchronization has been analyzed theoretically...
The Hind marsh-Rose (HR) Neuron not only contained the features of cell biological physical model, but also included the traits of non-linear dynamical system model. The paper analyzed the HR model by computing manifold. It computed the equilibria, simulated the bifurcation phenomenon of the parameters, estimated the unstable local manifold and computed the global manifold using the angle constraint...
In this paper, we propose a spatiotemporal salient objects-based approach for video retrieval. The spatiotemporal salient object is defined as the region sequence which is spatial salient and temporal continuous at the same time. As attention analysis is an effective mechanism for salient information selection, it provides a practical approach to narrow the semantic gap. Most existing methods extract...
This paper presents a method of generating new view point movie for the baseball game. One of the most interesting view point on the baseball game is looking from behind the catcher. If only one camera is placed behind the catcher, however, the view is occluded by the umpire and catcher. In this paper, we propose a method for generating a see-through movie which is captured from behind the catcher...
The problem of global positioning using a rigorous Bayesian framework based on the theory of random finite sets and their corresponding density functions is covered in this condensed tutorial. The positioning scenario considered involves a number of anonymous beacons with known position relative to which the agent can measure its position. Since the beacons are anonymous, determining the agents position...
We propose a novel tracking algorithm called slide window tracker (SWT) suitable for maneuvering target. To efficiently estimate trajectory of moving target, we adopt a sliding piecewise linear window which includes past trace information. By adjusting the window parameters, the proposed algorithm is to reduce measurement noise and to track fast maneuvering target with little computational increment...
The Uruguayan power system is highly dependent on two 500 kV transmission lines connecting the largest generation site (Salto Grande) and the Argentinean interconnection in the North, to the largest loading area in the South. Actual occurrences, where both 500 kV lines tripped, lead the system to widespread blackouts including the critical area of Montevideo, the nation's capital district. This paper...
This paper presents a new computation method for transient stability analysis for electric power systems. Different from existing methods, a minimization problem is formulated for obtaining critical clearing time (CCT). The method is based on the computation of a trajectory on the stability boundary, which is referred to as critical trajectory in this paper. The critical trajectory is defined as the...
Sensors are being deployed to improve border security generating enormous collections of data and databases. Unfortunately these sensors can respond to a variety of stimuli, sometimes reacting to meaningful events and sometimes triggered by random events which are considered false alarms. The intent of this project is to supplement human intelligence in a sensor network framework that can assist in...
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