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For survival analysis, the samples are always tested under various conditions, and the test results are extrapolated from the test conditions to the normal conditions. To assess the survivability as precisely as possible, a method of integrated survival analysis based on location scale model was proposed, using the test data under varied conditions. In this method, the location parameter was assumed...
Marine energy is an untapped resource, which could make a significant contribution to the renewable and clean energy generation matrix. Amongst the marine sources, wave energy is the most promising one in a microtidal and template zone like the Uruguayan oceanic coast. In this article the performance of a flap-type wave energy converter was analyzed in the basis of an analytical model and spectra...
This paper presents a model in distributed parameters for a drying plant of cocoa beans. The plant is composed of a combustion chamber, an air fan thrust and a drying chamber integrated by a rotating cylinder. The model was developed in the EcosimPro® platform, in wich the process of simulation, sensitivity analysis and estimation of parameters were implemented. For the optimization and validation...
The development and diversification of the Uruguayan power electric infrastructure, with the significant incorporation of renewable sources is leading to changes in the operation criteria.With all these efforts to make the power system more efficient and smarter, real-time analysis are becoming more required and necessary.
Due to physical laws or mathematical properties the parameters and/or the states of some dynamic systems satisfy certain constraints, and exploitation of such constraints generally is expected to produce more accurate system models. This paper is concerned with modeling of the dynamic systems with equality constraints. An effective framework of the constrained dynamics modeling is proposed by which...
A simple and accurate AC resistance model is essential for online estimation of copper loss which can be utilized in several ways of controlling and monitoring. This paper presents application of Squared Field Derivative on three-phase IPM machine to model AC resistance of rectangular conductors. It focuses on Finite Element Analysis to validate analytical model. The deviations from analytical model...
Anomaly detection suffers from the dynamic web data with more false alarms or frequent necessity of model retraining. In this paper, we propose a framework which makes a multidisciplinary cooperation between compression and variational segment model. The detection model employ compressionbased probability estimation and fine-grained structure analysis of the web request. We compare our model with...
Model-based testing is of high practical relevance and many model-based testing approaches have been developed during the last years. But the key question under which conditions model-based testing pays off and a related decision support procedure for its application has not been sufficiently addressed. In this paper we develop a generic decision support procedure whether to apply model-based testing...
The number of cores in embedded systems is continuously growing, supporting increasingly complex concurrent applications. In order to verify that the systems comply specification requirements during the design process, fast simulations and performance analysis tools are required. These simulation frameworks typically use virtualization or host-compiled simulation techniques. On one hand, current host...
Confirmation bias is the human tendency to search for, collect, interpret, analyse, or recall information in a way that confirms one's prior beliefs or preferences. In this paper, we review previous research and demonstrate confirmation bias and its effect in two software engineering contexts. The first study documents that managers bias their interpretation of randomly generated project data towards...
To improve the forecasting accuracy of highway freight volume, this paper establishes a GM-Markov model based on the general model. It is an optimal integration of the grey prediction method with a Markov prediction model. A grey model GM(1,1) is used to predict total trend of random time series, while a Markov model is used to predict the fluctuant change to get the solution of data a trend model...
Recent developments indicate that after more than a decade of intensive pioneer work, both in academia and industry, transactional memory might finally become a standard part of the mainstream processors. Intel Haswell and IBM Blue Gene are first such processors indicating this trend. However, it is still not clear what would be the right performance metric and how it could be estimated and measured...
Model based development and testing techniques have ventured diverse research directions to assure quality of the software product. Models developed during architecture and design phases are efficient tools to assess quality at an early development stage. However, testing the extra-functional or non-functional properties of software systems is not frequently practised eg. reliability. The motivation...
In this paper, a shuttlecock flight trajectory model using Linear ARX and Neural Network ARX (NARX) is proposed and compared. Several ARX and Neural Network ARX model configurations were created. Every Linear ARX and Neural Network ARX model configurations differ in term of number of autoregressive and exogenous components. Every model configurations used the horizontal trajectory as inputs and flight...
During the early phase of software development, there are works to be done. One of them is conducting an effort estimation. Without a proper process, the development may find itself overlook the targeted budget. This paper focus on the study of effort estimation in Big Data software development. Big Data definitions and characteristics may altered the current method and model that used to estimate...
Prolong advancements in technology scaling over the past few years eventually leads to the development of multi core processors. Network On Chip architecture is a promising paradigm to attain higher network density in high performance multi core computing systems. In today's scenario, with the growing number of transistors, power density is becoming prominent issue in the network design. Therefore,...
Despite the popularity of linear process models in signal and image processing, various real life phenomena exhibit nonlinear characteristics. Compromising between the realistic and computationally heavy nonlinear models and the simplicity of linear estimation methods, linear in the parameters nonlinear models such as polynomial autoregressive (PAR) models have been accessible analytical tools for...
While a defense system is being acquired using simulation-based acquisition (SBA), part of the system would be described as hybrid systems that have both discrete and continuous components. Also we need to quantify the benefits of SBA somehow in order to clearly determine them. In this paper we propose a method for cost estimation of hybrid system models that are specified based on a formalism for...
Phylogenetic inference is one of the most challenging and important problems in computational biology. However, computing evolutionary links on data sets containing only few thousands of taxa easily becomes a daunting task. Moreover, recent advances in next-generation sequencing technologies are turning this problem even much harder, either in terms of complexity or scale. Therefore, phylogenetic...
In this paper, a sensitivity analysis of Kalman Filter based capacity estimation for electric vehicle batteries is performed. In order to represent different user driving behaviours a random drive cycle data generator is introduced and used in the analysis. An asymmetric equivalent circuit is used for both data generation and estimation. Different aspects and sources of measurement and modeling error...
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