In this article we discuss relations between the so-called complex networks and dynamics of evolutionary algorithms. The main aim of this article is to investigate whether it is possible to model (or vizualize) evolut...
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In this article we discuss relations between the so-called complex networks and dynamics of evolutionary algorithms. The main aim of this article is to investigate whether it is possible to model (or vizualize) evolutionary dynamics as complex networks, whose connections will represent interactions amongst the individuals during all generations. Our simulations are based on selected evolutionary algorithms (2 algorithms in 6 versions) and test functions (4 out of 17). Data obtained through the simulations were processed graphically as well as statistically.
In this paper, we investigate the user's eye gaze behavior during the conversation with an interactive storytelling application. We present an interactive eye gaze model for embodied conversational agents in order...
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In this paper we propose extension of PostGIS Spatial Database Management system by imprecise point object type. Position imprecision is modelled as fuzzy point in R 2 linear fuzzy space. The linear fuzzy space is de...
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In this paper we propose extension of PostGIS Spatial Database Management system by imprecise point object type. Position imprecision is modelled as fuzzy point in R 2 linear fuzzy space. The linear fuzzy space is defined over R 2 where the membership function is convex, upper semi continuous, symmetric w.r.t core, linearly decreasing w.r.t core distance, and core is single point. The fuzzy convex hull is defined in the linear fuzzy space. Main functions that support operations between fuzzy points are implemented in Pl/PgSQL [6] language.
The Augmented Knight's Castle (AKC) comprises traditional play figures and scenery embedded with radio frequency identification (RFID) technology to enhance user experience by triggering various forms of audio out...
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There is a large amount of inconsistency in gene structure annotations of bacterial strains. This inconsistency is a frustrating impedance to effective comparative genomic analysis of bacterial strains in promising ap...
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There is a large amount of inconsistency in gene structure annotations of bacterial strains. This inconsistency is a frustrating impedance to effective comparative genomic analysis of bacterial strains in promising applications such as gaining insights into bacterial drug resistance. Here, we propose CAMBer as an approach to support comparative analysis of multiple bacterial strains. CAMBer produces what we called multigene families. Each multigene family reveals genes that are in one-to-one correspondence in the bacterial strains, thereby permitting their annotations to be integrated. As a result, more accurate and more comprehensive annotations of the bacterial strains can be produced.
Mobile technology is becoming increasingly widespread in museums and cultural heritage sites, and many institutions have already developed applications that can be downloaded on mobile phones. Amongst these, iPhone Ap...
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The use of one-shot pattern projection to obtain 3D dense reconstruction constitutes a promising field of research in structured light. Most of the related works presented in the literature are based on the projection...
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The use of one-shot pattern projection to obtain 3D dense reconstruction constitutes a promising field of research in structured light. Most of the related works presented in the literature are based on the projection of a fringe pattern to extract depth from phase deviation. However, the algorithms employed to unwrap the phase are computationally slow and can fail under certain slopes and occlusions in the object shape. In these lines, a color one-shot dense reconstruction using fringe pattern projection and wavelet decomposition is presented. Moreover, a novel phase unwrapping algorithm is proposed, providing a fast and reliable absolute phase map for depth reconstruction.
In modeling environmental interfaces regarded as biophysical complex systems, one of the main tasks is to create an operative interface with the external environment. The interface should provide a robust and prompt t...
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ISBN:
(纸本)9788890357411
In modeling environmental interfaces regarded as biophysical complex systems, one of the main tasks is to create an operative interface with the external environment. The interface should provide a robust and prompt translation of the vast diversity of external physical and/or chemical changes into a set of signals that are understandable for a biophysical entity. Although the organization of any system is of crucial importance for its functioning, it should not be forgotten that in biophysical systems we deal with real-life problems where a number of other conditions must be satisfied in order to put the system to work. One of them is the proper supply of the system with necessary substances. Their exchange in biophysical systems can be described by the dynamics of driven coupled oscillators. In order to study their behavior, we consider the dynamics of two coupled maps representing the substance exchange processes between two biophysical entities in their surrounding environment. Further, we investigate the behavior of the Lyapunov exponent as a measure of how rapidly two nearby orbits converge or diverge. In addition we calculate corresponding cross-sample entropy as a measure of synchronization.
Emotional learning involves two stages. The first is to acquire reinforcers from stimuli and the second is to associate such reinforcers with emotional responses. Both stages can be found occurring in the amygdala. Le...
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Emotional learning involves two stages. The first is to acquire reinforcers from stimuli and the second is to associate such reinforcers with emotional responses. Both stages can be found occurring in the amygdala. LeDoux's fear circuit model suggests two routes, a subcortical route and a cortical route, for emotional information entering the amygdala for associative learning. It can be used to explain how the actual recognition of emotions from facial expressions can be processed in the brain. Based on the model, a neural architecture is proposed using the stochastic Helmholtz machine (SHM) with the wake-sleep algorithm. In this paper, the results of three experiments about the subcortical emotional learning are reported, where different configurations of SHMs are involved. The first two experiments are to identify a suitable way to allow behavioural responses entering the central nucleus of the amygdala for association. However, both experiments show symptoms of overfitting, where some weights and biases of neurons are observed that will unusually increase during training. Therefore, the final experiment is designed to maintain the range of weights between -1 and +1 in order to solve the overfitting problem. The last experiment shows that the neural architecture with the new weight policy holds a lot of potential for modelling subcortical learning.
We propose some models to simulate human choice behavior to select facilities. In order to consider models for human behavior, we develop a web-based experimental system to collect the data of human choice behavior in...
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We propose some models to simulate human choice behavior to select facilities. In order to consider models for human behavior, we develop a web-based experimental system to collect the data of human choice behavior in facility selection. Using the developed system, human subjects act their facility selection according to the information such as the congestion level of the facility selected last time. We examine several models to simulate human choice behavior based on the data collected by the experimental system. From our examination, we find that developing models according to experimental results improves simulation results.
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