Relatively little is known on how the Doppler method compares with oscillometric measurement using a conventional automatic blood pressure device to determine the ankle-brachial index, when determinations are performed by physicians with little experience. To assess the diagnostic efficacy of both methods in this professional group, we calculated their sensitivity, specificity, and positive and...

Creating a reliable predictive model is a vital part of business intelligence applications. However, without a proper benchmark, it is very difficult to assess how good a predictive model really is. Furthermore, existing literature does not provide much guidance on how to create such benchmarks. In this paper we address this gap by presenting a method for creating such a such a benchmark. We de...

In this paper, improved Linear Predictive Coding (LPC) coefficients of the frame are employed in the feature extraction method. In the proposed speech recognition system, the static LPC coefficients + dynamic LPC coefficients of the frame were employed as a basic feature. The framework of Linear Discriminant Analysis (LDA) is used to derive an efficient and reduced-dimension speech parametric s...

A predictive optimal control system for micro-cogeneration in domestic applications has been developed. This system aims at integrating stochastic inhabitant behavior and meteorological conditions as well as modeling imprecisions, while defining operation strategies that maximize the efficiency of the system taking into account the performances, the storage capacities and the electricity market...

We present a new chart parsing method for Lambek grammars, inspired by a method for DTree grammar parsing. The formulae of a Lambek sequent are firstly converted into rules of an indexed grammar formalism, which are used in an Earley-style predictive chart algorithm. The method is non-polynomial, but performs well for practical purposes much better than previous chart methods for Lambek grammar...

In the nonlinear model predictive control (NMPC) field, it is well-known that the multistep control approach is superior to the single-step approach when examining high-order nonlinear systems. In the multistep control approach, however, the online minimization of a 2-norm square objective function over a control horizon of length M always requires solving a set of complex polynomial equations,...

Business value can be lost if a decision maker’s action distance to the observation of a business event is too high. So far, two classes of information systems, which promise to assist decision makers, have been discussed independently from each other only: business intelligence systems that query historic business event data in order to prepare predictions of future process behavior and real-t...

Recently, it has become possible to collect large amounts of trajectory data of moving objects by using sensor networks. To manage such trajectory data, we have developed a distributed trajectory database composed of a server and many sensor nodes deployed over wide areas. The server manages the trajectory data of each moving object by using indices. However, since each sensor node cannot send ...

BACKGROUND Epidemiologic studies using electronic healthcare data often define the presence or absence of binary clinical outcomes by using algorithms with imperfect specificity, sensitivity, and positive predictive value. This results in misclassification and bias in study results. METHODS We describe and evaluate a new method called probabilistic outcome definition (POD) that uses logistic ...

A six-dimensional nonlinear hydropower system controlled by a nonlinear predictive control method is presented in this paper. In terms of the nonlinear predictive control method; the performance index with terminal penalty function is selected. A simple method to find an appropriate terminal penalty function is introduced and its effectiveness is proved. The input-to-state-stability of the cont...