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This paper presents a computational model that considers the relationship between operational and physical conditions of the spraying process in agriculture machinery. The model has as outputs the droplets mean diameter and the spray angle produced by full cone nozzles, which are calculated using physicalconditionssuchasnozzlegeometricparameters, physical characteristics of the liquid to be sprayed...
Ensuring the correctness of SystemC virtual prototypes is indispensable. For such models, existing symbolic simulation approaches are based on interpreting their behavior. In this paper we propose a major enhancement called Compiled Symbolic Simulation (CSS). For more scalable state space exploration, CSS augments the DUV to integrate the symbolic execution engine and the Partial Order Reduction based...
Computer Vision is a field which deals with extracting, analyzing, processing and understanding the images. One of the major application of computer vision is Object Recognition. In this paper, an algorithm is proposed where, object recognition requires two tasks: (i) Object Detection and (ii) Object Classification. The former task, extracts constructive information from the image and detects the...
This paper addresses the problem of identifying errors-in-variables models, where the both input and output measurements are corrupted by white noise. The Koopmans-Levin method, which is a computationally simple consistent estimation method for errors-in-variables situations, requires a priori knowledge about the values of variances or the ratio to measurement noises. To achieve the consistent estimation...
Investment diversification is believed to have potential adverse effects on systemic risk. This paper examines the performance of systemic risk with respect to two factors: the available diversification choices and the investor's ability to utilize them. Building on an existing stylized financial system model, we enrich it by partitioning the assets and the investors according to their accessibility...
The aim of this paper is to propose a new method to select the model order in continuous time system identification, instrumental variable methods. The idea is to over-parameterize the model and utilize regularization based on the l1 norm to obtain a sparse estimate. The model order of the identified system is then determined by the rank of the Hankel matrix of the estimated parameter. Simulation...
This paper presents the closed loop model of modified interleaved buck converter (IBC) with low switching losses and improved step-down conversion ratio for the applications with high input voltage. Unlike conventional IBC, two active switches are connected in series and a coupling capacitor is employed in the power path. The losses associated with the power devices can be reduced as the voltage stress...
This contribution has as its goal to identify of fractional order systems using least-squares (LS) and instrumental variable (IV) technique. System estimation can be considered as a necessary step in control theory. We introduce, in this paper, a new technique that permits us to estimate non-integer model. This method employs a linearization technique to find a linear equation, and then estimates...
Cloud computing used by many organizations as it provide facility to install only computers for employees instead of installing applications on individual computers. Multiple computers can handle single request. Thus it reduces cost of hardware and software requirement. After going through the literature survey we have observed some limitations such as scalability of cloud user neglected and efficient...
Since simulation is a tool for generating data, a major task in executing simulations is to extract data from simulation runs. However, traditional methods of data extraction such as instrumenting the model code by hand or over-instrumenting the model and filtering data offline suffer from inflexibility and poor efficiency. To overcome these shortcomings, this paper promotes configurable targeted...
This paper is focusing on designing of a pitot-static instruments test system for aircraft using a personal computer. Pitot-static pressure was acquired using data acquisition system then sent to the computer. Then the computer calculates the corresponding values of true airspeed, indicated airspeed, vertical speed, altitude, and Mach number according to mathematical models. These values are displayed...
Stream processing is a compute paradigm that promises safe and efficient parallelism. Its realization requires optimization of multiple parameters such as kernel placement and communications. Most techniques to optimize streaming systems use queueing network models or network flow models, which often require estimates of the execution rate of each compute kernel. This is known as the non-blocking...
While computational acoustics techniques for musical instruments emulation reached a remarkable maturity due to continuous development in the last three decades, implementation into embedded digital instruments lags behind, with only a few notable commercial products to solely employ physics-based algorithms for acoustic instruments tone synthesis. In this paper a parallel DSP architecture for the...
In this paper a FEM model is proposed to simulate the guide wire navigation procedure in moving vascular structures. The virtual instruments are discretized with the multi-body representation, while the moving vascular structures are represented by a sequence of binary volumes segmented from the patient's data sets. The corresponding potential fields can be obtained by applying distance transform...
An efficient graph-based method to analyze fault propagation characteristics in the complex electronic systems is proposed. Firstly, two test node selection methods are proposed to meet different level of diagnosis requirements, and a greedy algorithm is applied to find the best test nodes. Then, a fault propagation characteristics analysis model based on hierarchical signed directed graph is established,...
The wireless fading channel is an important issue in wireless communications, and a cheap as well as flexible channel generator (simulator) is necessary for the measurement of wireless equipment. Therefore, this paper investigates the fading channel modeling with two-dimension (2D) angle of arrival (AOA) distribution, and then, obtains the model parameter by the autoregressive method. Finally model...
The pupillary response has been used to measure mental workload because of its sensitivity to stimuli and high resolution. The goal of this study was to diagnose the cognitive effort involved with a task that was presented visually. A multinomial processing tree (MPT) was used as an analytical tool in order to disentangle and predict separate cognitive processes, with the resulting output being a...
The Knowledge Management (KM) is becoming a valuable strategic resource for the life of individuals and companies, and has been identified by scholars, researchers and scientists as relevant and required for the growth of organizations in various fields. This paper presents the results of a survey research with exploratory which seeks to identify what KM practices adopted by researchers in the research...
This study aimed to propose and test a model of acceptance of online learning by face-to-face students. Participated in the research, conducted through survey technique, 732 students attending 1st cycle courses (bachelor) in 11 Portuguese private higher education (HEIs). Built a acceptance of online teaching model (MAEO) based on four dimensions: perceived usefulness, attitude, technological expertise...
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