... electricalconnectivity of each component of the system. Essentially, theETN operates based on the information regarding the states of the components, e.g. open/closed for circuit breakers, out -of- order/working ... consequences depending on the powersystem state. In conclusion, the reliability of protection schemes, understoodas the union of dependability and security, and its dependencyon the system operating conditions, ... designing modern power systems [12].The Petri Net (PN) paradigm is suitable to represent event-driven systems, which are characterized by a set of states(configurations) and a set of evolution...
... reliability of the powersystem will be analyzed by the multi -state system theory in this paper. The procedure of applying the multi -state system theory to the reliability analysis of the powersystem ... generating function of the system; is the number of subsystems in the system; NsysM is the number of possible states of the system; sG is the performance of the system; sq is the ... other systems, and the reliability of this powersystem is very important. To analyze the reliability of the powersystem using the traditional system reliability theory, the reliability of the...
... esti-mation ofpower consumption characteristics of HW systemsmodeled at the behavioral level using SystemC modeling lan-guage.3. ESTIMATIONOFPOWER AT BEHAVIORAL LEVEL3.1. MacromodelingThe estimation ... library to enable powerestimationof digital systemsbuilt upon a set of primitive logic gates. Minor modifications of SystemC modules enable the calculation of the dynamic power component due ... level ofpower modeling, for the estimationof power at the behavioral level of design.In the analy tical power macromodeling, a function mapsthe space of input signal properties to the power...
... forklift operation; (b): distance measurement using four distance sensors and feedback force implementation using a DC motor. The essential components of an OBW system are distance sensors associated ... term of the sense of touch. 2.2 Feedback force implementation: According to previous research [9], [10], the steering system of forklifts is developed. Moreover, driving torque of forklift ... which can transmit the view of forks’ environment in term of force feedback information, and we named it as observe-by-wire system. (a) (b) Fig. 2 The OBW system configuration, a forklift...
... forklift operation; (b): distance measurement using four distance sensors and feedback force implementation using a DC motor. The essential components of an OBW system are distance sensors associated ... term of the sense of touch. 2.2 Feedback force implementation: According to previous research [9], [10], the steering system of forklifts is developed. Moreover, driving torque of forklift ... novel Development of an Observe-By-Wire System for Forklifts Using Haptic Interfaces Ba Hai Nguyen1 and Jee-Hwan Ryu2 1School of Mechanical Engineering, Korea University of Technology and...
... aspects of the various elements of the system [2].In general, the system is of two types (depending on the structure of the system) , a simple structure system and a complex structure system. ... kV transmission line powersystem that energized by 33 kV system reduces the reliability of the system. Therefore, in order to improve the reliability of the 132 kV power systems, these lines ... Sulaimani-Erbil Electrical PowerSystem Reliability Evaluation Fig.8 shows the single line diagram of the 132 kV systems for Sulaimani-Erbil electrical power system. For the purpose of reliability...
... (smoothing, offline estimation) .Online estimation is the estimationof the present stateusing all themeasurements that are available, i.e. all measurements up to the presenttime. Prediction is the estimation ... the estimationof future states. Retrodiction is the estimation of past states.This section sets up a framework for the online estimationof the states of time-discrete processes. Of course, most ... examples of discrete stateestimation are speech recognition,printed or handwritten text recognition and the recognition of theoperating modes of a machine.An example of real-valued state estimation...
... summation of PCSA of allflexor muscles, ΣPCSAextensorsis the summation of PCSA of all extensor muscles, PCSAflexoris the PCSA of the flexor muscle u sed for training, PCSAextensoris thePCSA of ... Mechanics of the Hand. Mosby 1999.44. Buchanan TS, Lloyd DG, Manal K, Besier : Neuromusculoskeletal Modeling: Estimation of Muscle Forces and Joint Moments and Movements FromMeasurements of Neural ... this article as: Ziai and Menon: Comparison of regression modelsfor estimationof isometric wrist joint torques using surfaceelectromyography. Journal of NeuroEngineering and Rehabilitation 20118:56.Submit...
... low validity of the results because of the small number of subjects. There was also a limitationabout discussion of concerning the mechanism of USNbecause of the damaged part of the brain and ... of a real image and has lowered capabilities of vis-ual acuity. By contrast, the HMD has the possibility of obtaining various fields of view without deterioration of visual acuity.The HMD system ... delay of response between the computer andthe HMD regarding a transformation of data. The system& apos;sdelay time is 50 m seconds. Therefore, the HMD system needs a higher level of technology of...
... parameters of GGD-based measurement noise to providethe valuable information about the respiratory models fit tothe measured signals.3.1.1. Measurement Noise Variance Estimation. A commonway of estimating ... of the measurement noise, respec-tively. However, (14) cannot be solved in the explicit form.Thus, a lookup table was generated for the inversion of theKurtosis equation.3.2. Estimationof ... varianceand the shape factor of the measurement noise are estimated,parameters of the respiratory models can be computed withthe MLE algorithm. Maximization of (12)withrespectofΘis computed with the...
... for the study of any digital communication system performance. This method is based on the use of nonparametric pdf estimationof the soft decision of thereceived bit. Small length of transmitted ... The soft BER estimation, by using only 3000 samples, gives a value of theBER with an error of 0.2dB.7. ConclusionsIn this paper, we have suggested a new iterative soft bit errorrate estimation ... receiver.AppendicesA. Proof of (15)Proof. Using the definition of J( fX), we haveJfX,N=+∞−∞fX,N(x)2dx. (A.1)For Gaussian Kernel K, we have, K(x) = (x2−1)K(x). Then, using (11),...