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NEAT Particles: Design, Representation, and Animation of Particle System Effects

NEAT Particles: Design, Representation, and Animation of Par...

引用

ieee symposium on computational intelligence and Games, CIG

作者： Erin Hastings Ratan Guha Kenneth O. Stanley School of Electrical Engineering and Computer Science University of Central Florida Orlando FL USA

Particle systems are a representation, computation, and rendering method for special effects such as fire, smoke, explosions, electricity, water, magic, and many other phenomena. This paper presents NEAT particles, a new design, representation, and animation method for particle systems tailored to real-time effects in video games and simulations. In NEAT particles, the neuroevolution of augmenting topologies (NEAT) method evolves artificial neural networks (ANN) that control the appearance and motion of particles. NEAT particles affords three primary advantages over traditional particle effect development methods. First, it decouples the creation of new particle effects from mathematics and programming, enabling users with little knowledge of either to produce complex effects. Second, it allows content designers to evolve a broader range of effects than typical development tools through a form of interactive evolutionary computation (IEC). And finally, it acts as a concept generator, allowing users to interactively explore the space of possible effects. In the future such a system may allow content to be evolved in the game itself, as it is played

关键词： Animation Artificial neural networks Space exploration Fires Explosions Real time systems Games computational modeling Network topology Motion control

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Orientation in a Trail Network by Exploiting its Geometry for Swarm Robotics

Orientation in a Trail Network by Exploiting its Geometry fo...

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ieee Swarm intelligence symposium, SIS

作者： Heiko Hamann Mare Szymanski Heinz Worn Institute for Process Control and Robotics Universität Karlsruhe Karlsruhe Germany

Two control algorithms for a swarm robot are presented that enable it to orientate itself by using information from the geometry of trail bifurcations within a trail network. The development of these algorithms was inspired by the behavior of Pharaoh's ants as reported by Jackson et al., 2004. The performance of the robot is analyzed in a large number of embodied experiments with different bifurcation angles. The reactive behavior implemented by simple rules is sufficient to accomplish this task using a robot of limited capabilities. The frequency of correct reorientations is maximized when the trail bifurcation angle is 60 degrees, as found in natural networks

关键词： computational geometry Robots Particle swarm optimization

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The Difference of Bilateral Limbs Involvement During Trunk Bending and Reaching in Stroke Patients

The Difference of Bilateral Limbs Involvement During Trunk B...

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ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： J-S Chern S-W Yang C-W Long C-Y Lo Chang Gung University Taoyuan Taiwan National슠Yang-Ming University Taipei Taiwan Chinese Medicine University Taichung Taiwan

The purposes of this study were to investigate the effects of target locations on the demand of postural stability and to compare the involvement extent of bilateral lower limbs. The postural stability was measured by individual feet center of pressure (CoP). The proximal and distal end of the CoP line and the maximum CoP displacement in anterior-posterior direction were determined by custom-written Matlab programs and were expressed as percentage of foot length. Side of foot and target location interaction effects were significant only on CoP maximal anterior-posterior displacement (p = .008). The target location didn't affect the proximal end of the CoP line (p = .265) either did it affect the difference between feet as measured by the same parameter. The target location affected the distal end of the CoP line (p < .001) and the CoP maximal anterior-posterior displacement (p < .001 ) significantly, but only the later parameter showed the difference between feet when the targets were far/in the middle (p < .001) and on the paretic side (p = .008). The pedeography also show the target effects on CoP and different extent of bilateral limbs involvement. Change of target location can change the extent of the involvement of bilateral limbs and the parameters in this study were effective to show the effects. The relationship between CoP measures and neuromuscular control of the lower limb needs further investigations

关键词： Stability Foot Trajectory control systems Pressure measurement Neuromuscular Force measurement Velocity measurement computational intelligence Bioinformatics

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On the BMDGAs and Neural Nets

On the BMDGAs and Neural Nets

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ieee symposium on Foundations of computational intelligence, FOCI

作者： Marco Carpentieri Dipartimento di Fisica Universitá degli Studi di Salerno Italy

We analyze a bivariate marginal distribution genetic model in case of infinite populations and provide relations between the associated infinite population genetic system and the neural networks. A lower bound on population size is exhibited stating that the behaviour of the finite population system, in case of sufficiently large sizes, can be suitably approximated by the behaviour of the corresponding infinite population system for a number of transitions exponentially greater than that suggested by Vose's analysis. The infinite population system is analyzed by showing that, conversely to what happens in the univariate case, the fitness is not a Lyapunov function for its asynchronous variant. The attractors (with binary components) of the infinite population genetic system are characterized as equilibrium points of a discrete (neural network) system that can be considered as a variant of a Hopfield's network; it is shown that the fitness is a Lyapunov function for the variant of the discrete Hopfield's net. The genetic algorithm based on the proposed infinite population system is experimentally compared with the (neural) network algorithm for the max-cut problem. Our main result can be summarized by stating that the relation between marginal distribution genetic systems and neural nets is much more general than that already shown elsewhere for the univariate models.

关键词： Neural networks Genetic algorithms Frequency Biological cells Lyapunov method computational modeling computational intelligence Hopfield neural networks Adaptive control Polynomials

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PLC controlled industrial processes on-line simulator

PLC controlled industrial processes on-line simulator

引用

2007 ieee International symposium on Industrial Electronics (ISIE 2007), vol.7

作者： Valter Pinto Silviano Rafael J. F. Martins LaboratoriesEI (Laboratório de sistemas Eléctricos Industriais) Escola Superior Tecnologia de Setú Instituto Politécnico de Setúbal Setubal Portugal

The practical tryout of a PLC controlled automation process is a well known problem. This paper presents a process simulation tool, developed under the windows operating system, which can be used with any type of programmable logic controller. The process editor is comprehensive and is easy to use. An inexpensive hardware interface is established between the serial port of a personal computer and the digital and analog inputs/outputs of the PLC.

关键词： Programmable control Process control Industrial control Automatic control Electrical equipment industry automation computational modeling Operating systems Hardware Microcomputers

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On Mining Dynamic Web ClickStreams for Frequent Traversal Sequences

On Mining Dynamic Web ClickStreams for Frequent Traversal Se...

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ieee symposium on computational intelligence and Data Mining (CIDM)

作者： Jiadong Ren Xiaojian Zhang Huili Peng College of Information Science and Engineering Yanshan University슠 Qinhuangdao China

Although frequent traversal sequence (FTS) mining has been extensively studied over the last decade in Web usage mining, it is challenging to extend the mining technique to dynamic Web click streams. The main challenge is that existing false-positive methods control memory consumption and output accuracy by a relaxation ratio r (r = e/s, e is the error parameter, and s is the specified minimum support). However, the higher the value of r, the more saving is the memory consumption and the better recall but degrades the output precision, while on the contrary, decreasing r gives a more precise output but needs higher storage space. In this paper, the upper and lower bounds are established to constrain r, a weighted harmonic average (WHA) of the two bounds is designed to adjust r, and a novel algorithm FTS-Stream is proposed to find the FTS over a time-sensitive sliding window. Thus, the precision and recall can be maintained with the WHA (r). Our analysis and experiments show that FTS-Stream has high accuracy and requires less memory in dynamic Web clickstreams

关键词： Data mining Error correction Degradation Data analysis computational intelligence Educational institutions Information science Data engineering Algorithm design and analysis Databases

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Improved H.264/AVC Requantization Transcoding using Low-Complexity Interpolation Filters for 1/4-Pixel Motion Compensation

Improved H.264/AVC Requantization Transcoding using Low-Comp...

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ieee symposium on computational intelligence in Image and Signal Processing, CIISP

作者： Stijn Notebaert Jan De Cock Rik Van de Walle Department of Electronics and Information Systems Multimedia Laboratory Ghent University IBBT Ledeberg-Ghent Belgium

Transcoding is a fast technique for video adaptation, which offers great flexibility for changing the characteristics of already coded video sequences in order to match the properties of the terminal display devices and the bandwidth availability of the transmission networks. For reduction of the bitrate, requantization transcoding is often used. In our previous work, we introduced a hybrid architecture for requantization transcoding, which is able to reduce the bitrate for H.264/AVC bitstreams with quality results approaching the rate-distortion optimal decoder-encoder cascade. In this paper, we focus on the filters used for interpolation of the accumulated requantization errors, which are used for compensation of the current (sub-)macroblock partition. We show that by using reduced complexity filters, computational complexity can be significantly reduced without quality loss

关键词： Automatic voltage control Transcoding Interpolation Filters Motion compensation Bit rate Video sequences Displays Bandwidth Availability

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GoFuzzKegg: Mapping Genes to KEGG Pathways Using an Ontological Fuzzy Rule System

GoFuzzKegg: Mapping Genes to KEGG Pathways Using an Ontologi...

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ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： Mihail Popescu Dong Xu Erik Taylor University of Missouri Columbia MO USA University of Technology Houston TX USA

In this paper we present a method for finding the main pathways represented in a set of genes (say obtained from a microarray experiment). The method is based on a fuzzy mapping between genes represented as sets of gene ontology terms and KEGG pathways using a new type of fuzzy rule system called ontological fuzzy rule system (OFRS). As opposed to a crisp mapping, the fuzzy mapping produces a nonzero value even if the gene name is not explicitly listed in a given KEGG pathway. An OFRS is a fuzzy rule system in which the rule memberships are obtained using similarity measures between objects computed based on the gene ontology (GO) annotations. To test our approach, we randomly selected without replacement 10 sets of Arabidopsis thaliana genes from KEGG (each set had 15 genes from 3 different pathways) and tried to predict the pathways they were selected from. Our method was able to find, 90% of the right pathways with a 65% false alarm rate at a p-value of 0.01. The high false alarm rate is due in part to the experimental setting. In a pilot dataset of 526 Arabidopsis thaliana genes we identified 8 clusters which proved to be linked to important pathways such as ATP synthesis and transcription factor

关键词： Ontologies Fuzzy systems Fuzzy sets Fuzzy neural networks Bioinformatics Fuzzy control computational intelligence computational biology Testing Fuzzy logic

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Continuous-Time ADP for Linear Systems with Partially Unknown Dynamics

Continuous-Time ADP for Linear Systems with Partially Unknow...

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ieee symposium on Adaptive Dynamic Programming and Reinforcement Learning, (ADPRL)

作者： Draguna Vrabie Murad Abu-Khalaf Frank L. Lewis Youyi Wang Automation and Robotics Research Institute University of Texas Arlington Fort Worth TX USA School of Electrical and Electronic Engineering Nanyang Technological University Singapore

Approximate dynamic programming has been formulated and applied mainly to discrete-time systems. Expressing the ADP concept for continuous-time systems raises difficult issues related to sampling time and system model knowledge requirements. In this paper is presented a novel online adaptive critic (AC) scheme, based on approximate dynamic programming (ADP), to solve the infinite horizon optimal control problem for continuous-time dynamical systems; thus bringing together concepts from the fields of computational intelligence and control theory. Only partial knowledge about the system model is used, as knowledge about the plant internal dynamics is not needed. The method is thus useful to determine the optimal controller for plants with partially unknown dynamics. It is shown that the proposed iterative ADP algorithm is in fact a quasi-Newton method to solve the underlying algebraic Riccati equation (ARE) of the optimal control problem. An initial gain that determines a stabilizing control policy is not required. In control theory terms, in this paper is developed a direct adaptive control algorithm for obtaining the optimal control solution without knowing the system A matrix

关键词： Linear systems Optimal control Dynamic programming Adaptive control control theory Iterative algorithms Riccati equations Sampling methods Programmable control Infinite horizon

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Spatial Data Mining for Optimized Selection of Facility Locations in Field-based Services

Spatial Data Mining for Optimized Selection of Facility Loca...

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ieee symposium on computational intelligence and Data Mining (CIDM)

作者： A. Zarnani M. Rahgozar C. Lucas F. Taghiyareh University of Tehran Tehran Iran

Spatial data mining has been developed as the effective technique in many applications that involve large amounts of geo-spatial data. Many organizations provide field-based services such as delivery, field-services and emergency to their customers. Considering the geographical distribution of the customer request points, the location of facilities will have noticeable impact on the overall efficiency of the company's operations. The closer the facilities are to the customers, the sooner and cheaper will be the service provision transaction. In this paper, we empirically study the role of spatial clustering methods in such context. We have implemented and tuned some of the main spatial clustering algorithms to discover the best locations for facility establishment. A new spatial clustering algorithm is proposed that does not require the number of facilities as input. The new algorithm will determine the optimal number of facilities along with their locations based on the business context trade-offs. Many experiments are conducted to study the performance of the studied algorithms on real world and synthetic data sets. The results reveal valuable distinctions between the different methods and confirm the higher efficiency of the proposed algorithm.

关键词： Data mining Spatial databases Costs Clustering algorithms Data engineering Logistics Process control Intelligent control Deductive databases Scalability

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