The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This article addresses a grid-based target searching problem in a multi-searcher single-target environment. In the problem, the mobile sensors and the mobile object are the searchers and the target, respectively. The problem is described as follows — the target enters into a grid from any one of the sides and aims to exit the opposite side; the searchers try to search the target before the target...
In high-performance computing (HPC) platform, resource usage pattern changes over time which makes the resource monitoring a challenge. Maintaining the performance goals within a good power range is very critical where servers suffer from under utilisation, failure or degraded hardware support. Better forecast of the workload can reduce the energy cost by predicting the future workload more accurately...
In this paper an efficient and accurate approach for identification of Hammerstein model has been proposed using Social Emotional Optimization Algorithm (SEOA). In SEOA method, behaviour of human being for attaining superior position in society is structured. The accuracy of the proposed SEOA based identification scheme has been justified with the optimal value of MSE and their corresponding comparative...
Human brain communicates information by means of electro-chemical reactions and processes it in a parallel, distributed manner. Computational models of neurons at different levels of details are used in order to make predictions for physiological dysfunctions. Advances in the field of brain simulations and brain computer interfaces have increased the complexity of this modeling process. With a focus...
We demonstrate a new mechanism for the suppression of modulation instability in a wide class of spatially distributed nonlinear systems. This is done by a periodic spatio-temporal modulation of the background potential. The phenomenon is general in nature as it is shown on a universal model of Complex Ginzburg-Landau equation, and can be extended to various different systems. The results are demonstrated...
Astronomical telescopes are large systems which are designed to accurately track the objects in sky at very low velocities. In this paper we characterize the behavior of a telescope and employ Monte-Carlo technique to analyze robustness of parameter estimation. We present overall model of telescope with the LuGre model for friction and synthesis a feedback linearizable controller for the system. At...
Modern Electronic Warfare systems need to provide real time location information in a consistent, unambiguous and timely manner. The time difference of arrival (TDOA) techniques used for location determination make use of the method of hyperbolic multilateration. One technique which is widely used for solving non linear hyperbolic equations is the Taylor Series method. This paper discusses the convergence...
The spatial modulation of pump in broad emission area semiconductor amplifiers has two important advantages in this kind of devices. A 2-dimensional periodic modulation of the pump profile introduces by one side, a filtering effect and an improvement of the beam quality. Moreover, the spatial modulation changes the effective diffraction inside the material and reduces the modulation instability generated...
The paper introduces a new, simple and direct method of determining the minimum capacitance required for self-excitation of the three phase self excited cage machine. The proposed method is based on the analysis of the complex impedance matrix of the induction generator, when loaded with a general resistive-inductive load (RL). A simple computer algorithm has been developed to predict the minimum...
Low voltage operation can markedly reduce the energy requirements of digital circuits; however, in the face of variability it also greatly reduces the reliability and yield. In order to mitigate this effect, device dimensions can be increased and adaptive body biasing can be employed, but at the cost of potentially increasing energy per operation. This paper presents a new framework for determining...
Present day mobile robots are meant for very precise applications. For very precise applications of mobile robots, accurate estimation of inertial parameters depends upon the accuracy of mathematical model & as well as accuracy (error characteristics) of the individual sensor measurements. Sensor measurements are prone to various errors, which necessitates the detail modeling of sensors for estimation...
This paper deals with design and implementation of Joint Unscented Kalman filter (JUKF) and Dual Unscented Kalman filter (DUKF) for the detection and monitoring of rotor bar faults in induction motor under simulation studies. A broken rotor bar essentially leads to an increase in rotor resistance of the induction motor. The methodology used is basically model based fault detection in which the problem...
The present paper reports the B-spline finite element method for the solution of advection-diffusion equation. The one dimensional time dependent ADV equation has been taken in to consideration with dirichlet boundary conditions. The main emphasis are given to the B-spline FEM for that some typical test examples are presented to demonstrate the performance of proposed scheme. Numerical results obtained...
In industries now a day the control of chemical process is important craft. Mostly all the chemical process are highly nonlinear in nature this cause instability of the process. This paper deals with basic simulation studies on of the interactive thermal process. The Combination processes of Continuous stirred tank reactor (CSTR) and heat exchanger were controlled and the mathematical model was developed...
An approach employed for the evaluation of performance of self excited induction generator (SEIG) using fuzzy logic which needs a simple modelling is proposed in this paper. In general, the conventional techniques with analytical equations are used to analyse the performance of SEIG. Here a fully fuzzy based approach is tried to evaluate the performance. The results obtained from fuzzy logic approach...
In recent years, machine learning technology often used as a recognition method of anomaly in anomaly detection. In this paper we have proposed a One-class small hypersphere support vector machine classifier (OCSHSVM) algorithm, which builds a learning classifier model via both normal and abnormal network traffic. This combination of normal and abnormal traffic for training model gives the better...
Modern technology has given rise to a slew of forward looking enhancements for systems that transmit and distribute electricity. Distribution networks must be carefully controlled in order to maintain an acceptable power supply quality. In order to meet sustained load demands during varying natural conditions, different renewable energy sources need to be integrated with each other. This paper describes...
Decision feedback equalizers are used in wireless and mobile communications to reduce the intersymbol interference that is caused by the time dispersive channel. Here, an adaptive decision feedback equalizer is presented with a new adaptive algorithm. The algorithm uses sign normalized block based least mean square algorithm, and achieves a significant reduction of computational complexity. The proposed...
In this paper, the systematic synthesis of network model from a power system database for subsynchronous resonance (SSR) analysis in large power systems is discussed. The model is convenient to incorporate in a computer program using MATLAB sparse-matrix function. The formulation does not require preprocessing of data for removal of network state redundancy. This formulation is also suitable for selective...
Series compensation in long transmission lines is an effective solution of enhancing power transfer capacity of Power System network. In this paper, series passive compensation and shunt active compensation provided by static synchronous compensator (STATCOM) and other FACTS controllers connected at the electrical center of the transmission line are considered. The presence of series capacitors has...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.