In this paper we present a novel hand posture recognizer based on wavelet network learnt by fast wavelet transform (FWN) including a fuzzy decision support system (FDSS). Our contribution in this paper resides in prop...
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ISBN:
(纸本)9783319108407;9783319108391
In this paper we present a novel hand posture recognizer based on wavelet network learnt by fast wavelet transform (FWN) including a fuzzy decision support system (FDSS). Our contribution in this paper resides in proposing a new classification way for the FWN classifier. the FWN having an hybrid architecture (using as activation functions both wavelet and scaling ones) provides hybrid weight vectors when approximating an image. the FWN classification phase was achieved by computing simple distances between test and training weight vectors. those latter are composed of two types of coefficients that are not in the same value range which may influence on the distances computing. this can cause wrong recognitions. So, to overcome this lacuna, a new classification strategy is proposed. It operates a human reasoning mode employing a FDSS to calculate similarity degrees between test and training images. Comparisons with other works are presented and discussed. Obtained results have shown that the new hand posture recognizer performs better than previously established ones. ...
this research aims at realizing a flying observation system which complements other information gathering systems using a balloon or an air vehicle. We have proposed the kite-based tethered flying robot with long-term...
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ISBN:
(纸本)9781479959556
this research aims at realizing a flying observation system which complements other information gathering systems using a balloon or an air vehicle. We have proposed the kite-based tethered flying robot with long-term activity capability[1]. this paper shows a computational model of the kite-based tethered flying robot and a method of learning fuzzy control parameters for the robot using human operation data.
the customized marketing is an increasing area where users are progressively demanding and saturated of massive advertising, which has a really low success rate and even discourage the purchase. Furthermore, another i...
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this paper presents a copula-based estimation of a distribution algorithm with parameter updating for numeric optimization problems. this model implements an estimation of a distribution algorithm using a multivariate...
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the bootstrap provides a simple and powerful means of improving the accuracy of clustering. However, for today's increasingly large datasets, the computation of bootstrap-based quantities can be prohibitively dema...
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ISBN:
(纸本)9781479956043
the bootstrap provides a simple and powerful means of improving the accuracy of clustering. However, for today's increasingly large datasets, the computation of bootstrap-based quantities can be prohibitively demanding. In this paper we introduce the Bag of Little Bootstraps Clustering (BLBC), a new procedure which utilizes the Bag of Little Bootstraps technique to obtain a robust, computationally efficient means of clustering for massive data. Moreover, BLBC is suited to implementation on modern parallel and distributed computing architectures which are often used to process large datasets. We investigate empirically the performance characteristics of BLBC and compare to the performances of existing methods via experiments on simulated data and real data. the results show that BLBC has a significantly more favorable computational profile than the bootstrap based clustering while maintaining good statistical correctness.
In this paper we present a proposal to develop conversational agents that avoids the effort of manually defining the dialog strategy for the agent and also takes into account the benefits of using current standards. I...
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this research is focused on a real world problem: the identification of a specific type of apnea disorder. Recently, a technique for evaluating and diagnosing of a certain type of apnea has been published carried out....
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Spirometric pulmonary function test plays a critical role in the diagnosis of respiratory diseases and its clinical utility depends on the accuracy of the measured values. Classification of human respiratory functions...
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As an automatic generation method of the fuzzy rules, the complex-valued neuro-fuzzy (CVNF) learning algorithm has been suggested. that is a method expanded the conventional neuro-fuzzy (NF) learning algorithm into th...
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As an automatic generation method of the fuzzy rules, the complex-valued neuro-fuzzy (CVNF) learning algorithm has been suggested. that is a method expanded the conventional neuro-fuzzy (NF) learning algorithm into the complex domain. the purpose of this study is to verify the effectiveness of the CVNF by performing the stabilization control of an inverted pendulum using CVNF, and comparing it with NF. As a result, the control of the inverted pendulum was possible in CVNF with higher precision than in NF.
usually intensive care medicine practice is highly supported on scores as SOFA, SAPS and Glasgow. More recently, two new scores have been considered: MEWS and *** paper presents how the Scoring System (SS) of the Inte...
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