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Dissertations / Theses on the topic 'Biologically inspired vision systems'

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1

Peerasathien, Theparit. "Biologically inspired object categorization in cluttered scenes /." Online version of thesis, 2008. http://hdl.handle.net/1850/7930.

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2

Apaydin, Mehmetcan. "Biologically Inspired Multichannel Modelling Of Human Visual Perceptual System." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606772/index.pdf.

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Making a robot autonomous has been a common challenge to be overcome since the very beginning. To be an autonomous system, the robot should collect environmental data, interpret them, and act accordingly. In order to accomplish these, some resource management should be conducted. That is, the resources, which are time, and computation power in our case, should be allocated to more important areas. Existing researches and approaches, however, are not always human like. Indeed they don&rsquo<br>t give enough importance on this. Starting from this point of view, the system proposed in this thesis
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3

Sedlackova, Anna. "Replicating Motion Vision and Response in Insects Using a Synthetic Nervous System." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1593309220545937.

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4

Peniak, Martin. "GPU computing for cognitive robotics." Thesis, University of Plymouth, 2014. http://hdl.handle.net/10026.1/3052.

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This thesis presents the first investigation of the impact of GPU computing on cognitive robotics by providing a series of novel experiments in the area of action and language acquisition in humanoid robots and computer vision. Cognitive robotics is concerned with endowing robots with high-level cognitive capabilities to enable the achievement of complex goals in complex environments. Reaching the ultimate goal of developing cognitive robots will require tremendous amounts of computational power, which was until recently provided mostly by standard CPU processors. CPU cores are optimised for s
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5

Tsitiridis, Aristeidis. "Biologically-inspired machine vision." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8029.

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This thesis summarises research on the improved design, integration and expansion of past cortex-like computer vision models, following biologically-inspired methodologies. By adopting early theories and algorithms as a building block, particular interest has been shown for algorithmic parameterisation, feature extraction, invariance properties and classification. Overall, the major original contributions of this thesis have been: 1. The incorporation of a salient feature-based method for semantic feature extraction and refinement in object recognition. 2. The design and integration of colour
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6

Vasilaki, Eleni. "A biologically inspired dynamic model for vision." Thesis, University of Sussex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288864.

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7

Haque, Musad Al. "Biologically inspired heterogeneous multi-agent systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37138.

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Many biological systems are known to accomplish complex tasks in a decentralized, robust, and scalable manner - characteristics that are desirable to the coordination of engineered systems as well. Inspired by nature, we produce coordination strategies for a network of heterogenous agents and in particular, we focus on intelligent collective systems. Bottlenose dolphins and African lions are examples of intelligent collective systems since they exhibit sophisticated social behaviors and effortlessly transition between functionalities. Through preferred associations, specialized roles, and self
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Harris, Daniel I. "A biologically inspired focus of attention model /." Online version of thesis, 2008. http://hdl.handle.net/1850/5712.

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9

Stowers, John Ross. "Biologically Inspired Visual Control of Flying Robots." Thesis, University of Canterbury. Electrical and Computer Engineering, 2013. http://hdl.handle.net/10092/8729.

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Insects posses an incredible ability to navigate their environment at high speed, despite having small brains and limited visual acuity. Through selective pressure they have evolved computationally efficient means for simultaneously performing navigation tasks and instantaneous control responses. The insect’s main source of information is visual, and through a hierarchy of processes this information is used for perception; at the lowest level are local neurons for detecting image motion and edges, at the higher level are interneurons to spatially integrate the output of previous stages. These
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Woo, Myung Chul. "Biologically-inspired translation, scale, and rotation invariant object recognition models /." Online version of thesis, 2007. http://hdl.handle.net/1850/3933.

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11

Garratt, Matthew Adam, and m. garratt@adfa edu au. "Biologically Inspired Vision and Control for an Autonomous Flying Vehicle." The Australian National University. Research School of Biological Sciences, 2008. http://thesis.anu.edu.au./public/adt-ANU20090116.154822.

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This thesis makes a number of new contributions to control and sensing for unmanned vehicles. I begin by developing a non-linear simulation of a small unmanned helicopter and then proceed to develop new algorithms for control and sensing using the simulation. The work is field-tested in successful flight trials of biologically inspired vision and neural network control for an unstable rotorcraft. The techniques are more robust and more easily implemented on a small flying vehicle than previously attempted methods.¶ Experiments from biology suggest that the sensing of image motion or optic flo
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Garratt, Matthew A. "Biologically inspired vision and control for an autonomous flying vehicle /." View thesis entry in Australian Digital Theses Program, 2007. http://thesis.anu.edu.au/public/adt-ANU20090116.154822/index.html.

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13

Kassabalidis, Ioannis N. "Applications of biologically inspired algorithms to complex systems /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5915.

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14

Carroll, Jacob Alexander. "Examining the Dynamics of Biologically Inspired Systems Far From Equilibrium." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/89103.

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Non-equilibrium systems have no set method of analysis, and a wide array of dynamics can be present in such systems. In this work we present three very different non-equilibrium models, inspired by biological systems and phenomena, that we analyze through computational means to showcase both the range of dynamics encompassed by these systems, as well as various techniques used to analyze them. The first system we model is a surface plasmon resonance (SPR) cell, a device used to determine the binding rates between various species of chemicals. We simulate the SPR cell and compare these computat
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15

Zhang, Xuegong. "Biologically inspired highly reliable electronic systems with self-healing cellular architecture." Thesis, University of the West of England, Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418445.

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Mackie, David J. "Biologically inspired acoustic systems : from insect ears to MEMS microphone structures." Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=26578.

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Although difficult to notice initially, examples of bioinspired technology have now become commonplace in society today. Construction materials, aerodynamic transport design, photography equipment and robot technology are among many research fields which have benefitted from studying evolution-driven solutions to common engineering problems. One field of engineering research which has recently begun to take inspiration from the natural world is that of acoustical systems such as microphones and loudspeakers. Specifically, to solve the problems involved in the miniaturisation of these systems,
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Araiza, Illan Dejanira. "Biologically inspired control systems for autonomous navigation and escape from pursuers." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/3114/.

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18

Sina, Md Ibne. "Satellite Image Processing with Biologically-inspired Computational Methods and Visual Attention." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23122.

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The human vision system is generally recognized as being superior to all known artificial vision systems. Visual attention, among many processes that are related to human vision, is responsible for identifying relevant regions in a scene for further processing. In most cases, analyzing an entire scene is unnecessary and inevitably time consuming. Hence considering visual attention might be advantageous. A subfield of computer vision where this particular functionality is computationally emulated has been shown to retain high potential in solving real world vision problems effectively. In this
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19

Ullah, Amjad. "Towards a novel biologically-inspired cloud elasticity framework." Thesis, University of Stirling, 2017. http://hdl.handle.net/1893/26064.

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With the widespread use of the Internet, the popularity of web applications has significantly increased. Such applications are subject to unpredictable workload conditions that vary from time to time. For example, an e-commerce website may face higher workloads than normal during festivals or promotional schemes. Such applications are critical and performance related issues, or service disruption can result in financial losses. Cloud computing with its attractive feature of dynamic resource provisioning (elasticity) is a perfect match to host such applications. The rapid growth in the usage of
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Watts, Christopher Mark. "A comparison study of biologically inspired propulsion systems for an autonomous underwater vehicle." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1672/.

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The field of Autonomous Underwater Vehicles (AUVs) has increased dramatically in size and scope over the past two decades. Application areas for AUVs are numerous and varied; from deep sea exploration, to pipeline surveillance to mine clearing. However, one limiting factor with the current technology is the duration of missions that can be undertaken and one contributing factor to this is the efficiency of the propulsion system, which is usually based on marine propellers. As fish are highly efficient swimmers greater propulsive efficiency may be possible by mimicking their fish tail propulsio
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21

de, Miranda de Matos Lourenço Inês. "Forward and Inverse Decision-Making in Adversarial, Cooperative, and Biologically-Inspired Dynamical Systems." Licentiate thesis, KTH, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295301.

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Decision-making is the mechanism of using available information to develop solutions to given problems by forming preferences, beliefs, or selecting courses of action amongst several alternatives. It is the main focus of a variety of scientific fields such as robotics, finances, and neuroscience. In this thesis, we study the mechanisms that generate behavior in diverse decision-making settings (the forward problem) and how their characteristics can explain observed behavior (the inverse problem). Both problems take a central role in current research due to the desire to understand the features
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22

Dai, Jing. "Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47646.

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Computational intelligence techniques, such as artificial neural networks (ANNs), have been widely used to improve the performance of power system monitoring and control. Although inspired by the neurons in the brain, ANNs are largely different from living neuron networks (LNNs) in many aspects. Due to the oversimplification, the huge computational potential of LNNs cannot be realized by ANNs. Therefore, a more brain-like artificial neural network is highly desired to bridge the gap between ANNs and LNNs. The focus of this research is to develop a biologically inspired artificial neural netwo
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23

Joshi, Nishant. "Universality and Individuality in Recurrent Networks extended to Biologically inspired networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-294208.

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Activities in the motor cortex are found to be dynamical in nature. Modeling these activities and comparing them with neural recordings helps in understanding the underlying mechanism for the generation of these activities. For this purpose, Recurrent Neural networks or RNNs, have emerged as an appropriate tool. A clear understanding of how the design choices associated with these networks affect the learned dynamics and internal representation still remains elusive. A previous work exploring the dynamical properties of discrete time RNN architectures (LSTM, UGRNN, GRU, and Vanilla) such as th
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24

Rutkowski, Adam J. "A BIOLOGICALLY-INSPIRED SENSOR FUSION APPROACH TO TRACKING A WIND-BORNE ODOR IN THREE DIMENSIONS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1196447143.

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25

Galluppi, Francesco. "Information representation on a universal neural Chip." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/information-representation-on-a-universal-neural-chip(77038a24-1f1e-4824-8725-4bd0d233626c).html.

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How can science possibly understand the organ through which the Universe knows itself? The scientific method can be used to study how electro-chemical signals represent information in the brain. However, modelling it by simulating its structures and functions is a computation- and communication-intensive task. Whilst supercomputers offer great computational power, brain-scale models are challenging in terms of communication overheads and power consumption. Dedicated neural hardware can be used to enhance simulation performance, but it is often optimised for specific models. While performance a
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26

Chidurala, Manohar. "Dynamic Characteristics of Biologically Inspired Hair Receptors for Unmanned Aerial Vehicles." ScholarWorks@UNO, 2015. http://scholarworks.uno.edu/td/2040.

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The highly optimized performance of nature’s creations and biological assemblies has inspired the development of their engineered counter parts that can potentially outperform conventional systems. In particular, bat wings are populated with air flow hair receptors which feedback the information about airflow over their surfaces for enhanced stability and maneuverability during their flight. The hairs in the bat wing membrane play a role in the maneuverability tasks, especially during low-speed flight. The developments of artificial hair sensors (AHS) are inspired by biological hair cells in a
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27

Khairullah, Shawkat Sabah. "Toward Biologically-Inspired Self-Healing, Resilient Architectures for Digital Instrumentation and Control Systems and Embedded Devices." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5671.

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Digital Instrumentation and Control (I&C) systems in safety-related applications of next generation industrial automation systems require high levels of resilience against different fault classes. One of the more essential concepts for achieving this goal is the notion of resilient and survivable digital I&C systems. In recent years, self-healing concepts based on biological physiology have received attention for the design of robust digital systems. However, many of these approaches have not been architected from the outset with safety in mind, nor have they been targeted for the automation c
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28

Randall, Mark James. "Stable adaptive neural control systems with closed kinematic chains applied to biologically-inspired walking robots." Thesis, University of the West of England, Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300916.

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29

Titus, Albert H. "Biologically-based stereopsis : theories and VLSI implementation." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/13390.

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30

Webster, Victoria Ann. "Simulating Complex Multi-Degree-Of-Freedom Systems and Muscle-Like Actuators." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1354289624.

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31

Chao, Zenas C. "Toward the neurocomputer goal-directed learning in embodied cultured networks/." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19816.

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Thesis (Ph.D)--Biomedical Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Potter, Steve; Committee Member: Butera, Robert; Committee Member: DeMarse, Thomas; Committee Member: Jaeger, Dieter; Committee Member: Lee, Robert.
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Sethi, Ricky Jaineet. "A physics-based, neurobiologically-inspired stochastic framework for activity recognition." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1957340981&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268416562&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Title from first page of PDF file (viewed March 11, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. ). Also issued in print.
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Yu, Xiaoju, and Xiaoju Yu. "Investigation of Several Novel Radio-Frequency Techniques - Biologically Inspired Direction Finding, 3D Printed RF Components and Systems, and Fundamental Aspects of Antenna Matching." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/623148.

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This dissertation presents the investigation of biologically inspired direction finding (DF) and localization systems, 3D printing solution for RF components and systems, and fundamental aspects of antennas regarding bandwidth and power efficiency. Biologically inspired direction finding and localization systems are explored first. Inspired by the human binaural auditory system, an improved direction of arrival (DoA) estimation technique using two antennas with a lossy scatterer in between them to achieve additional magnitude cues is proposed. By exploiting the incident-angle- dependent magnit
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Pignaton, de Freitas Edison. "Cooperative Context-Aware Setup and Performance of Surveillance Missions Using Static and Mobile Wireless Sensor Networks." Doctoral thesis, Högskolan i Halmstad, Centrum för forskning om inbyggda system (CERES), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16476.

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Surveillance systems are usually employed to monitor wide areas in which their usersaim to detect and/or observe events or phenomena of their interest. The use ofwireless sensor networks in such systems is of particular interest as these networks can provide a relative low cost and robust solution to cover large areas. Emerging applications in this context are proposing the use of wireless sensor networks composed of both static and mobile sensor nodes. Motivation for this trend is toreduce deployment and operating costs, besides providing enhanced functionalities.The usage of both static and
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Medathati, Naga Venkata Kartheek. "Vers des modèles synergiques de l’estimation du mouvement en vision biologique et artificielle." Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4127/document.

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Dans cette thèse, nous avons étudié le problème de l'estimation de mouvement chez les mammifères et nous proposons que passer à l’échelle des modèles ancrés dans la biologie pour les applications du monde réel peut nous donner de nouvelles perspectives en vision biologique. En utilisant un modèle classique qui décrit l'activité des neurones dans les aires corticales V1 et MT du cerveau des primates, nous avons proposé une architecture montante pour l'estimation de mouvement et l’avons évaluée sur des exemples de référence de vision par ordinateur (une première pour ce type de modèles), révélan
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Akbarinia, SeyedArash. "Computational model of visual perception: from colour to form." Doctoral thesis, Universitat Autònoma de Barcelona, 2017. http://hdl.handle.net/10803/457882.

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La idea original de este proyecto fue estudiar la importancia del color en el reconocimiento de objetos. Comenzamos extendiendo la investigación previa sobre nombrar colores y demostrando la viabilidad de capturar términos de color a través de elipsoides. Aunque nuestros resultados superaron el estado-del-arte en dos bases de datos, vimos que los fenómenos de luces metaméricas y constancia de color debían ser tratados antes de cualquier procesamiento de color. Nuestra investigación de pares metaméricas mostró que son infrecuentes en el mundo real. Contrariamente a eso, la iluminación de una es
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Castro, Guilherme Barros. "Modelo de rede neural bioinspirada para o controle do trânsito urbano." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-17042017-095544/.

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Congestionamentos no trânsito urbano são uma preocupação principal em grandes cidades pelo mundo, devido a seus impactos negativos multifacetados na saúde humana, no meio ambiente e na economia. A urbanização crescente, e seu consequente aumento no volume do trânsito, causam ainda mais congestionamentos por causa do ritmo lento - e, em alguns casos, inexistente - das melhoras na infraestrutura urbana. Uma solução com bom custo-benefício para reduzir o tempo médio de viagem dos veículos e prevenir os congestionamentos é o controle do trânsito urbano. No entanto, a maior parte das abordagens de
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Freitas, Edison Pignaton de. "Cooperative context-aware setup and performance of surveillance missions using static and mobile wireless sensor networks." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/39120.

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Sistemas de vigilância são geralmente empregados no monitoramento de áreas de grandes dimensões nas quais seus usuários visam detectar ou observar fenômenos de seu interesse. O uso de redes de sensores sem fio nesses sistemas apresenta especial interesse, uma vez que essas redes podem apresentar soluções de baixo custo e robustas para cobrir áreas extensas. Neste contexto, novas aplicações têm surgido propondo o uso de redes de sensores sem fio compostas por nós sensores estáticos e móveis. Uma das motivações para esta tendência é a redução do custo de implantação e operação do sistema, além d
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Lewinger, William Anthony. "Neurobiologically-based Control System for an Adaptively Walking Hexapod." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1295655329.

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Khan, Muhammad Sikandar Lal. "Enabling physical action in computer mediated communication : an embodied interaction approach." Licentiate thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-108569.

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Costa, Felipe Miney Gonçalves da. "Revendo o problema da detecção de retas através dos olhos da aranha." Universidade de São Paulo, 1999. http://www.teses.usp.br/teses/disponiveis/76/76132/tde-09062009-094110/.

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Visão é um processo que envolve uma grande quantidade de informações, as quais precisam ser otimizadas de alguma forma para propiciar um processamento eficiente. Grande parte das informações visuais estão contidas nos contornos de uma imagem e uma grande redução no volume dos dados pode ser conseguida com a análise dos contornos. Além dos contornos, a detecção de segmentos de reta é o próximo passo na compressão das informações visuais. A detecção de retas ocorre no sistema visual humano, e também no de outros seres vivos. Entre os invertebrados terrestres, o melhor sistema de visão é o das ar
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Khan, Muhammad Sikandar Lal. "Presence through actions : theories, concepts, and implementations." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138280.

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During face-to-face meetings, humans use multimodal information, including verbal information, visual information, body language, facial expressions, and other non-verbal gestures. In contrast, during computer-mediated-communication (CMC), humans rely either on mono-modal information such as text-only, voice-only, or video-only or on bi-modal information by using audiovisual modalities such as video teleconferencing. Psychologically, the difference between the two lies in the level of the subjective experience of presence, where people perceive a reduced feeling of presence in the case of CMC.
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Silapachote, Piyanuch. "Biologically inspired vision systems." 2011. https://scholarworks.umass.edu/dissertations/AAI3465213.

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Computer vision researchers design intelligent machines capable of perceiving visual information. One of many approaches is to model the fascinating visual processing done by primates. The eyes, the brain, and their interconnections provide a rich set of visual perceptions without conscious effort. How primates “see” has long been an intriguing research question in neuroscience, biology, physiology, and psychology. Based on discoveries in these fields, computer scientists have attempted to apply biologically plausible models to the design of visual machines. While still inferior to primates, t
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Di, Lillo Antonella. "A biologically inspired computational model for texture and shape recognition /." 2010.

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Karri, Sirisha. "VLSI implementation of biologically inspired vision system for depth perception." 2006. http://proquest.umi.com/pqdweb?did=1192190381&sid=2&Fmt=2&clientId=39334&RQT=309&VName=PQD.

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Thesis (Ph.D.)--State University of New York at Buffalo, 2006.<br>Title from PDF title page (viewed on Mar. 02, 2007) Available through UMI ProQuest Digital Dissertations. Thesis adviser: Titus, Albert H.
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Serre, Thomas. "Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines." 2006. http://hdl.handle.net/1721.1/32544.

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In this thesis, I describe a quantitative model that accounts for the circuits and computations of the feedforward path of the ventral stream of visual cortex. This model is consistent with a general theory of visual processing that extends the hierarchical model of (Hubel & Wiesel, 1959) from primary to extrastriate visual areas. It attempts to explain the first few hundred milliseconds of visual processing and “immediate recognition”. One of the key elements in the approach is the learning of a generic dictionary of shape-components from V2 to IT, which provides an invariant representatio
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Tsitiridis, A. "Biologically-inspired machine vision." Thesis, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8029.

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This thesis summarises research on the improved design, integration and expansion of past cortex-like computer vision models, following biologically-inspired methodologies. By adopting early theories and algorithms as a building block, particular interest has been shown for algorithmic parameterisation, feature extraction, invariance properties and classification. Overall, the major original contributions of this thesis have been: 1. The incorporation of a salient feature-based method for semantic feature extraction and refinement in object recognition. 2. The design and integration of colour
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"Biologically inspired mobile robot vision localization." UNIVERSITY OF SOUTHERN CALIFORNIA, 2010. http://pqdtopen.proquest.com/#viewpdf?dispub=3368719.

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49

Duenez-Guzman, Edgar Alfredo. "Biological Simulations and Biologically Inspired Adaptive Systems." 2009. http://trace.tennessee.edu/utk_graddiss/598.

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Many of the most challenging problems in modern science lie at the interface of several fields. To study these problems, there is a pressing need for trans-disciplinary research incorporating computational and mathematical models. This dissertation presents a selection of new computational and mathematical techniques applied to biological simulations and problem solving: (i) The dynamics of alliance formation in primates are studied using a continuous time individual-based model. It is observed that increasing the cognitive abilities of individuals stabilizes alliances in a phase transition-li
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Xu, Le. "Biologically inspired intelligent fault diagnosis for power distribution systems." 2006. http://www.lib.ncsu.edu/theses/available/etd-10262006-165808/unrestricted/etd.pdf.

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