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Academic literature on the topic 'Intelligence reconfigurable'

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Published: 17 September 2022
Last updated: 18 September 2022

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Journal articles on the topic "Intelligence reconfigurable"

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Ivchenko, Valeriy, Petr Krug, Ekaterina Matyukhina, and Sergey Pavelyev. "Mars-500 Program Space-Based Mobile Robot “Turist”." Applied Mechanics and Materials 789-790 (September 2015): 742–46. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.742.

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The problems of design and implementation of remotely reconfigurable intelligence for space-based robotic systems and, specifically, mobile robots are highlighted. The classification of reconfiguration technologies, the specifications of remote reconfiguration, the functional structure of remotely reconfigurable intelligence are described. The space-based mobile robot-explorer "Turist" is presented.
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Zhang, Hai-Tian, Tae Joon Park, A. N. M. Nafiul Islam, Dat S. J. Tran, Sukriti Manna, Qi Wang, Sandip Mondal, et al. "Reconfigurable perovskite nickelate electronics for artificial intelligence." Science 375, no. 6580 (February 4, 2022): 533–39. http://dx.doi.org/10.1126/science.abj7943.

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Reconfigurable devices offer the ability to program electronic circuits on demand. In this work, we demonstrated on-demand creation of artificial neurons, synapses, and memory capacitors in post-fabricated perovskite NdNiO 3 devices that can be simply reconfigured for a specific purpose by single-shot electric pulses. The sensitivity of electronic properties of perovskite nickelates to the local distribution of hydrogen ions enabled these results. With experimental data from our memory capacitors, simulation results of a reservoir computing framework showed excellent performance for tasks such as digit recognition and classification of electrocardiogram heartbeat activity. Using our reconfigurable artificial neurons and synapses, simulated dynamic networks outperformed static networks for incremental learning scenarios. The ability to fashion the building blocks of brain-inspired computers on demand opens up new directions in adaptive networks.
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Crawford, Lara S., Minh Binh Do, Wheeler S. Ruml, Haitham Hindi, Craig Eldershaw, Rong Zhou, Lukas Kuhn, et al. "On-Line Reconfigurable Machines." AI Magazine 34, no. 3 (September 15, 2013): 73–88. http://dx.doi.org/10.1609/aimag.v34i3.2387.

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A recent trend in intelligent machines and manufacturing has been toward reconfigurable manufacturing systems, which move away from the idea of a fixed factory line executing an unchanging set of operations, and toward the goal of an adaptable factory structure. The logical next challenge in this area is that of on-line reconfigurability. With this capability, machines can reconfigure while running, enable or disable capabilities in real time, and respond quickly to changes in the system or the environment (including faults). We propose an approach to achieving on-line reconfigurability based on a high level of system modularity supported by integrated, model-based planning and control software. Our software capitalizes on many advanced techniques from the artificial intelligence research community, particularly in model-based domain-independent planning and scheduling, heuristic search, and temporal resource reasoning. We describe the implementation of this design in a prototype highly modular, parallel printing system.
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Na, Jin Hee, Ho Seok Ahn, Myoung Soo Park, and Jin Young Choi. "Development of Reconfigurable and Evolvable Architecture for Intelligence Implement." Journal of Fuzzy Logic and Intelligent Systems 15, no. 7 (December 1, 2005): 823–27. http://dx.doi.org/10.5391/jkiis.2005.15.7.823.

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Goyal, K. K., P. K. Jain, and M. Jain. "Applying Swarm Intelligence to Design the Reconfigurable Flow Lines." International Journal of Simulation Modelling 12, no. 1 (March 15, 2013): 17–26. http://dx.doi.org/10.2507/ijsimm12(1)2.220.

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Khan, Arsalan H., Zhang Weiguo, Shi Jingping, and Zeashan H. Khan. "Optimized Reconfigurable Modular Flight Control Design using Swarm Intelligence." Procedia Engineering 24 (2011): 621–28. http://dx.doi.org/10.1016/j.proeng.2011.11.2706.

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Wei, Shaojun. "Reconfigurable computing: a promising microchip architecture for artificial intelligence." Journal of Semiconductors 41, no. 2 (February 2020): 020301. http://dx.doi.org/10.1088/1674-4926/41/2/020301.

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LIU, YUBIN, RUOPENG WEI, HUIJUAN DONG, YANHE ZHU, and JIE ZHAO. "A DESIGNATION OF MODULAR MOBILE RECONFIGURABLE PLATFORM SYSTEM." Journal of Mechanics in Medicine and Biology 20, no. 09 (September 16, 2020): 2040006. http://dx.doi.org/10.1142/s0219519420400060.

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Mobile robots working in special environment have to adapt for unknown and complex environment characteristics, so high mobility, functional versatility and robustness of mobile robots are required. Different from specialized robot designed for single function in single environment, single unit of modular reconfigurable robots has simple mechanical structure, flexible movement and maneuverability; meanwhile, the combination of multiple units has flexible and versatile configuration, combined with distributed control and swarm intelligence algorithm to gain environmental adaptability and functional versatility of the entire reconfigurable robot system. Single unit of modular mobile reconfigurable robots could complete lightweight tasks such as transporting medicines, distributing and accompanying nurses. Meanwhile, the combination of multiple units could complete heavyweight tasks such as transporting patients and large medical equipment. Modular mobile reconfigurable robot system has broad application prospects in the field of medical auxiliary robots.
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Zhao, Tao, Bin Zi, Sen Qian, Zeqiang Yin, and Dan Zhang. "Typical configuration analysis of a modular reconfigurable cable-driven parallel robot." International Journal of Advanced Robotic Systems 16, no. 2 (March 1, 2019): 172988141983475. http://dx.doi.org/10.1177/1729881419834756.

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To obtain better flexibility and multifunction in varying practical applications, several typical configurations of a modular reconfigurable cable-driven parallel robot are analyzed in this article. The spatial topology of the modular reconfigurable cable-driven parallel robot can be reconfigured by manually detaching or attaching the different number of modular branches as well as changing the connection points on the end-effector to satisfy diverse task requirements. The structure design of the modular reconfigurable cable-driven parallel robot is depicted in detail, including the design methodology, mechanical description, and control architecture. The inverse kinematics and dynamics of the modular reconfigurable cable-driven parallel robot considering diverse configurations are derived according to the vector closed rule and Lagrange method, respectively. The numerical simulation and related experiments of a typical configuration are achieved and analyzed. The results verify the effectiveness and feasibility of the inverse kinematics and dynamics models for the modular reconfigurable cable-driven parallel robot.
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Ignatov, Alexander, Valeriy Ivchenko, Petr Krug, Ekaterina Matyukhina, and Sergey Pavelyev. "The Technologies for Remote Reconfiguration of Artificial Intelligence of Robotic Systems in Case of Mission or Driving Conditions Change." Applied Mechanics and Materials 851 (August 2016): 477–83. http://dx.doi.org/10.4028/www.scientific.net/amm.851.477.

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This report considers the creation of a controller intended for reconfiguring the artificial intelligence of robotic vehicles. The functional structure of hardware-reconfigurable digital module for intellectual control of robotic vehicles is proposed and further interaction between its functional modules and remote support center in different situations requiring reconfiguration is concerned. The procedures of self-check and self-testing of the hardware-reconfigurable digital module for intellectual control of mobile space-based robots are described, which are necessary to ensure reliability of reconfiguration.
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Dissertations / Theses on the topic "Intelligence reconfigurable"

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He, Haibo. "Dynamically Self-reconfigurable Systems for Machine Intelligence." Ohio University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1152717376.

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Bailey, Scott P. "Neural network design on the SRC-6 reconfigurable computer." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FBailey.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 2006.
Thesis Advisor(s): Douglas J. Fouts. "December 2006." Includes bibliographical references (p. 105-106). Also available in print.
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Vasilko, Milan. "Design synthesis for dynamically reconfigurable logic systems." Thesis, Bournemouth University, 2000. http://eprints.bournemouth.ac.uk/291/.

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Dynamic reconfiguration of logic circuits has been a research problem for over four decades. While applications using logic reconfiguration in practical scenarios have been demonstrated, the design of these systems has proved to be a difficult process demanding the skills of an experienced reconfigurable logic design expert. This thesis proposes an automatic synthesis method which relieves designers of some of the difficulties associated with designing partially dynamically reconfigurable systems. A new design abstraction model for reconfigurable systems is proposed in order to support design exploration using the presented method. Given an input behavioural model, a technology server and a set of design constraints, the method will generate a reconfigurable design solution in the form of a 3D floorplan and a configuration schedule. The approach makes use of genetic algorithms. It facilitates global optimisation to accommodate multiple design objectives common in reconfigurable system design, while making realistic estimates of configuration overheads and of the potential for resource sharing between configurations. A set of custom evolutionary operators has been developed to cope with a multiple-objective search space. Furthermore, the application of a simulation technique verifying the lll results of such an automatic exploration is outlined in the thesis. The qualities of the proposed method are evaluated using a set of benchmark designs taking data from a real reconfigurable logic technology. Finally, some extensions to the proposed method and possible research directions are discussed.
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Upperman, Gary J. "Implementation of a cyclostationary spectral analysis algorithm on an SRC reconfigurable computer for real-time signal processing." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FUpperman%5FGary.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2008.
Thesis Advisor(s): Fouts, Douglas J. ; Pace, Phillip E. "March 2008." Description based on title screen as viewed on May 16, 2008. Includes bibliographical references (p. 101-102). Also available in print.
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Heath, Gerhardus. "Dynamic reconfigurable platform for swarm robotics." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6814.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2011.
ENGLISH ABSTRACT: Swarm intelligence research was inspired by biological systems in nature. Working ants and bees has captivated researchers for centuries, with the ant playing a major role in shaping the future of robotic swarm applications. The ants foraging activity can be adapted for different applications of robotic swarm intelligence. Numerous researchers have conducted theoretical analysis and experiments on the ants foraging activities and communication styles. Combining this information with modern reconfigurable computing opens the door to more complex behaviour with improved system dynamics. Reconfigurable computing has numerous applications in swarm intelligence such as true hardware parallel processing, dynamic power save algorithms and dynamic peripheral changes to the CPU core. In this research a brief study is made of swarm intelligence and its applications. The ants' foraging activities were studied in greater detail with the emphasis on a layered control system designed implementation in a robotic agent. The robotic agent’s hardware was designed using a partial self reconfigurable FPGA as the main building element. The hardware was designed with the emphasis on system flexibility for swarm application drawing attention to power reduction and battery life. All of this was packaged into a differential drive chassis designed specifically for this project.
AFRIKAANSE OPSOMMING: Die motivering vir swerm robotika kom van die natuur. Vir eeue fassineer swerm insekte soos bye en miere navorsers. Dit is verstommend hoe ’n groep klein en nietige insekte sulke groot take kan verrig. Die mier speel ‘n belangrike rol en is die sentrale tema van menige publikasies. Die mier se kos-soek aktiwiteit kan aangepas word vir swerm robotika toepassings. Hierdie aktiwiteit vervat verskeie sleutel konsepte wat belangrik is vir robotika toepassings. Deur bv. die mier se aktiwiteite te kombineer met dinamies herkonfigureerbare hardeware, kan meer komplekse gedrag bestudeer word. Die stelsel dinamika verbeter ook, aangesien dit nou moontlik is om sekere take in parallel uit te voer. Deur ’n interne prosesseerder in die herkonfigureerbare hardeware in te sluit, is dit nou vir die stelsel moontlik om homself te verander tydens taak verrigting. Komplekse krag bestuur gedrag is ook moontlik deurdat die prosesseerder die spoed en rand apparaat kan verander soos benodig. ‘n Verdere voordeel is dat die stelsel aanpasbaar is en dus vir verskeie navorsingsprojekte gebruik kan word. In hierdie navorsing word ’n literatuur studie van swerm robotika gemaak en word daar ook na toepassings gekyk. Met die klem op praktiese implementering, word die mier se kos-soek aktiwiteit in detail ondersoek deur gebruik te maak van ’n laag beheerstelsel. In hierdie laag beheerstelsel verteenwoordig elke laag ’n hoër vlak gedrag. Stelsel aanpasbaarheid en lae kragverbruik speel ’n deurslaggewende rol in die ontwerp, en om hierdie rede vorm ’n FPGA die hart van die sisteem.
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Filho, Jonas Gomes. "Aplicação de técnicas de reconfiguração dinâmica a projeto de máquina de vetor suporte (SVM)." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3140/tde-12082010-174825/.

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As Máquinas de Vetores de Suporte (SVMs) têm sido largamente empregadas em diversas aplicações, graças à sua baixa taxa de erros na fase de testes (boa capacidade de generalização) e o fato de não dependerem das condições iniciais. Dos algoritmos desenvolvidos para o treinamento da SVM, o Sequential Minimal Optimization (SMO) é um dos mais rápidos e eficientes para a execução desta tarefa. Importantes implementações da fase de treinamento da SVM têm sido feitas em FPGAs. A maioria destas implementações tem sérias restrições na quantidade de conjunto de amostras a serem treinadas, pelo fato de implementarem soluções numéricas. De observação na literatura técnica, apenas dois trabalhos implementaram o SMO para o treinamento SVM em hardware e apenas um destes possibilita o treinamento de uma quantidade importante de amostras, porém a aplicação é restrita a apenas um benchmark específico. Na última década, com a tecnologia baseada em RAM estática, os FPGAs apresentaram um novo aspecto de flexibilidade: a capacidade de reconfiguração dinâmica, que possibilita a alteração do sistema em tempo de execução trazendo redução de área. Adicionalmente, apesar de uma potencial penalidade no tempo de processamento, a velocidade de execução continua muito superior quando comparada com soluções em software. No presente trabalho, uma solução genérica é proposta para o treinamento SVM em hardware (i.e. uma arquitetura que possibilite o treinamento para diversos tipos de amostras de entrada), e, motivado pela natureza seqüencial do algoritmo SMO, uma arquitetura dinamicamente reconfigurável é desenvolvida. Um estudo da implementação genérica com codificação em ponto fixo é apresentada, assim como os efeitos de quantização. A arquitetura é implementada no dispositivo Xilinx Virtex-IV XC4VLX25. Dados de tempo e área são obtidos e detalhes da síntese são explorados. É feita uma simulação da reconfiguração dinâmica através de chaves de isolação para a validação do sistema sob reconfiguração dinâmica. A arquitetura foi testada para três diferentes benchmarks, com resultados indicando que o treinamento no hardware reconfigurável foi acelerado em até 30 vezes quando comparado com a solução em software e os estudos apontaram que uma economia de até 22,38% de área útil do FPGA pode ser obtida dependendo das metodologias de síntese e implementação adotadas.
Support Vector Machines have been largely used in different applications, due to their high classifying capability without errors (generalization capability) and the advantage of not depending on the initial conditions. Among the developed algorithms for the SVM training, the Sequential Minimal Optimization (SMO) is one of the fastest and the one of the most efficient algorithms for executing this task. Important dedicated hardware implementations of the training phase of the SVM have been proposed for digital FPGA. Most of them are very restricted about the quantity of input samples to be trained due to the fact that they implement numeric solutions. Only two works with implementation in the SMO algorithm for the SVM training in hardware have been reported recently, and just one is able to train an important quantity of input samples, however it is restricted for only one specific benchmark. In the last decade, with the technology based on static memory (SRAM), FPGAs has provided a unique aspect of flexibility: the capability of dynamic reconfiguration, which involves altering the programmed design at run-time and allows area\'s saving. In addition, although leading to some time penalty, the execution time is still faster when compared with purely software solutions. In this work we present a totally hardware general-purpose implementation of the SMO algorithm. In this general-purpose approach, training of examples with different number of samples and elements are possible, and, motivated by the sequential nature of some of the SMO tasks, a dynamically reconfigurable architecture is developed. A study of the general-purpose implementation with fixed-point codification is presented, as well as the quantization effects. The architecture is implemented in the Xilinx Virtex-IV XC4VLX25 device, and timing and area data are provided. Synthesis details are exploited. A simulation using dynamic circuit switching is carried out in order to validate the systems dynamic reconfiguration aspects. The architecture was tested in the training of three different benchmarks; the training on the reconfigurable hardware was accelerated up to 30 times when compared with software solution, and studies points to an area saving up to 22.38% depending on the synthesis and implementation methodologies adopted in the project.
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Omar, Tariq Ali. "Une architecture mixte logicielle et matérielle pour le contrôle intelligent en temps réel." Grenoble INPG, 2006. http://www.theses.fr/2006INPG0089.

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Le Contrôle intelligente d'un système autonome dans un environnement dynamique et dangereux exige la capacité d'identifier les menaces d'échec et de planifier les réponses temps-réel qui peut assurer la sécurité et l'objectif du système autonome. Nous proposons une architecture pour le contrôle intelligent en temps-réel, appelée ORICA. Elle se compose d'un sous-système de raisonnement IA et d'un sous-système d'exécution temps-réel de réponse. Le sous-système de raisonnement modélise des caractéristiques temporelles et logiques du comportement environnemental et planifie les réponses du système. Le sous-système temps-réel, composé d'une partie logicielle et d'une partie matérielle, exécute ces réponses pour éviter l'échec du système autonome. Il donne une performance inégalée par rapport aux précédentes approches conventionnelles. Le comportement unique de l'intelligence reconfigurable est implanté dans la partie matérielle, avec un circuit logique reprogrammable (FPGA)
Autonomous intelligent control system for a dynamic and dangerous environment necessitates the capacity to identify the failure threats and to plan the real-time responses that ensure safety and goal achievement by the autonomous system. We propose a real-time intelligent control architecture called ORICA. It consists of an AI reasoning subsystem and a real-time response execution subsystem. The AI reasoning subsystem models the temporal and logical characteristics of the environment and plans the system responses. The real-time subsystem, which is composed of a software section and a hardware section, executes these responses to avoid failure of the autonomous system. Its performance behavior is unparalleled by the previous classical approaches (pure hardware or pure software). The software section uses behavior switching according to the frequency of external events and a unique reconfigurable intelligence behavior has been implemented in hardware section, using a reprogrammable chip (FPGA)
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Jaeck, Vincent. "Développement d’antennes de communication reconfigurables en bande C pour munitions intelligentes." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S104/document.

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De nos jours, les communications sans fil sont devenues un moyen incontournable et universel d'échange d'un large éventail d'informations entre différents systèmes, certains d'entre eux étant en mouvement comme des drones parmi tant d'autres. Dans le contexte de cette thèse nous considérons une liaison entre un projectile et une station de base. La géométrie de la structure ainsi que les contraintes aérodynamiques d'un tir balistique impliquent l'utilisation d'antennes patchs dans la partie conique à l'avant du projectile. Ce type d'antenne est facile à intégrer à une plate-forme en tant que réseau conformé tout en respectant les contraintes d'encombrement. Ces communications doivent être fiables et discrètes dans un environnement perturbé ou hostile. Les diagrammes de rayonnement du réseau d'antennes doivent présenter des caractéristiques spécifiques, notamment dans le cas particulier d'objets volants et possédant une rotation en roulis (rotation autour de son axe) qui impliquent l'utilisation d'un réseau phasé et commuté par rapport à sa position. Une antenne qui présenterait un rayonnement fixe assurerait une liaison avec un interlocuteur, mais rayonnerait également dans d'autres directions sensibles ce qui pourraient interférer avec la communication principale. La solution qui consiste à activer et désactiver des sous-réseaux verticaux afin d'orienter le lobe principal dans la plan orthogonal à la pointe semble être en accord avec les contraintes de la structure tournante. Un réseau conique a été étudié puis 2 prototypes ont été fabriqués, dont un à l'ISL. Les sous-réseaux sont répartis de manière égale autour de la pointe de façon à pouvoir rayonner dans toutes les directions. De plus, chaque sous-réseau est composé de trois éléments ce qui permet d'orienter également le lobe principal dans le plan longitudinal de la pointe (le long de l'axe du projectile) grâce à un dépointage électronique. Un système électronique de formation de faisceaux a été développé dans le but de contrôler 12 éléments rayonnants. Le réseau d'antennes ainsi que le circuit de répartition ont été caractérisés dans un premier temps de manière indépendante afin d'optimiser les lois de phase nécessaires à dépointer le lobe à partir des pondérations mesurées. Au final, le réseau de 12 éléments associé à son système d'alimentation dédié a été mesuré dans les chambres anéchoïques de DGA-MI et de l'ISL et les mesures sont en accord avec les simulations
Nowadays wireless communications have become a useful and universal mean to exchange a wide range of information between different systems, some of them being moving, as UAVs among others. In this context we consider here the link between a projectile and a base station. The shape of the structure and the aerodynamic constraints involve the use of patch antennas in the conical front part. This class of antenna is easy to be integrated into the platform as a conformal array, while respecting space constraint. Communications have to be reliable and discrete in disturbed or hostile environment. Antennas array radiation patterns must have some specific characteristics, in particular in the case of flying objects with spin which involves the use of a switched phased array considering its roll position. A fixed-radiation pattern antenna may presents a relevant level or gain toward the interlocutor, but also toward sensitive directions, in which may be located others systems, interfering with the current communication. The solution to switch on and off vertical sub-arrays to steer the beam in the azimuthal plane seem convenient ant fitting the requirements of rotating platform. A conical phased array was studied and two prototypes were manufactured, one at ISL. Sub-arrays are distributed around the conical shape in order to be able to radiate in each direction. Moreover, each sub-array are composed of three radiating elements allowing to steer the main antenna beam in many direction (along the projectile fuze axes). A beam forming network was developed to control the 12 radiating elements conical array. The antenna array and the feeding network were characterized independently in order to optimized the phase of each radiating element. Finally, measurements were done on the whole system in the DGA-MI and ISL anechoic chambers and are in good agreement with simulation results
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Taghvaee, Hamidreza. "On scalable, reconfigurable, and intelligent metasurfaces." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672339.

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Sixth Generation (6G) of wireless networks will be even more heterogeneous and dense as compared to Fifth Generation (5G) and other legacy networks. Thus, the 6G architecture will need to be adapted to serve the ever-evolving capacity and quality of service requirements. To satisfy these ever-increasing demands, multiple enablers such as visible light communication, light fidelity, Reconfigurable Intelligent Surfaces (RISs), THz communications, etc., have been proposed. Specifically, RISs, through their programmable characteristics, can perform the fine-grained manipulation of the radio signals being generated by the myriad transmitter devices/access points for their corresponding receivers. Such manipulations include absorption of certain components of the impinging radio signals, as well as fine-grained control of these signals in terms of direction, polarization, phase, and power in a frequency-selective manner. An RIS consists of a device that controls the behavior of the Electromagnetic (EM) waves, alongside circuits that provide the tuning mechanism and the intelligence to control it. This device that controls the EM wave behavior can be realized using Metasurfaces (MSs), which are electromagnetically thin-film and planar artificial structures that enable the control of EM fields in engineered and even atypical ways. Hence, the MS is a component of the RIS. On a more granular level, an MS is composed of subwavelength building blocks known as unit cells or meta-atoms. The design of these unit cells depends on the required EM functionality, reconfigurability, or accuracy. The promises of the RIS paradigm, therefore, come at the expense of a non-trivial complexity in the MS. On the one hand, the performance of an RIS depends on the size of the unit cells, the number of unit cell states, or the size of the whole MS. On the other hand, there are costs and energy overheads associated with the fabrication and operation of RISs that also scale with the aforementioned factors. This thesis aims to bridge this gap by providing a method to dimension the RIS through a design-oriented scalability analysis of programmable MSs. Besides the challenge of design complexity, MSs will become prone to failure as they continue integrating sophisticated tuning, control and sensing circuits. However, the impact of faults on the performance of individual MSs is not well understood yet. This thesis proposes a framework to evaluate the impact of failures in programmable MSs, distinguishing between the type of faults and their spatial distribution. While RIS generally hinge on the design of rather complex tunable MSs, such a complexity can be amortized if the functionality provided by the RIS can be shared among multiple users. This thesis introduces a coding (i.e. digital programming of unit cells) technique based on the momentum conservation law and superposition of waves for MS reconfiguration to engineer multiple beams independently. Then, the wireless channel of such framework among multiple users is evaluated. The capacity is increased at least one order of magnitude compared to a scenario without RIS. Machine learning techniques, and particularly Neural Networks (NNs), owing to their ability to learn complex relationships between input and output data, are capable of solving differential equations, thereby circumventing the need for numerical calculations. This thesis provisions a data-driven NN-based approach for determining an accurate estimation of the radiation pattern or several measures of interest that enable the full characterization of the radiation pattern. In summary, contributions of this thesis fall under the umbrella of paving the way to realizing 5G and beyond wireless communications empowered with RIS technology.
La sisena generació (6G) de xarxes sense fils seran encara més denses i heterogènies que les xarxes de cinquena generació. Per tant, la arquitectura de les xarxes 6G necessitaran adaptar-se a necessitats de capacitat i qualitat de servei en constant canvi. Per servir aquestes necessitats creixents, s’han proposat diverses tecnologies com comunicacions a l’espectre visible, Light Fidelity (LiFi), superfícies reconfigurables intel·ligents (RIS, per les sigles en anglès), comunicacions a la banda dels THz, etc. En concret, les RIS han despertat interès degut a la seva capacitat de manipular de forma precisa i programàtica les senyals de ràdio generades per diversos transmissors o punts d’accés i dirigir-les a múltiples receptors. Les manipulacions esmentades inclouen l’absorció de certs components de les ones incidents, o el control de la seva direcció, polarització, fase, o amplitud de forma selectiva en freqüència. En aquest context, les metasuperfícies (MSs) són part essencial de les RIS com a estructures artificials i planars que implementen la funció electromagnètica u òptica que la RIS necessita, que pot ser fins i tot anti-natural i atípica. Així doncs, els RIS consisteixen de dispositius que controlen les ones electromagnètiques (que podrien ser MS) co-integrades amb dispositius que doten a la MS de reconfigurabilitat i intel·ligència. Les MS, perla seva banda, estan composades de elements menor de la longitud d’ona que es coneixen coma “unit cells” o “meta-atoms”. El problema radica en que la promesa de les RIS, però, comporta una complexitat a nivell de MS que no és trivial. Per una banda, el rendiment de la RIS depèn de la mida de les unit cells, el número d’estats que pugui prendre la unit cell, o la mida de la MS completa. D’altra banda, hi ha problemes de costos i consum energètic associat amb la fabricació i operació de les RIS, que també depenen dels factors abans esmentats. Aquesta tesi té com a objectiu adreçar aquests problemes proposant un mètode per dimensionar les RIS mitjançant un anàlisi de l’escalabilitat de les MS programables, en un procés orientat a disseny. A més a més, s’espera que les MS tendeixen a tenir errors a mesura que es tornin més sofisticades i integrin més dispositius de control, sensat, o sintonització. No obstant, l’impacte d’aquests errors en el rendiment de les MS no està entesa del tot. En aquest aspecte, la tesi proposa un marc de treball per avaluar l’impacte de les fallades en el rendiment de MS programables, en un procés que distingeix els tipus d’error i la seva distribució espacial. Més enllà d’això, la complexitat de construir les RIS es pot amortitzar amb l’ús de dites RIS per manejar múltiples usuaris simultàniament. En aquesta direcció, la tesi introdueix un a tècnica de programació de les RIS basat en les lleis de la conservació dels moments i de la superposició d’ones, la qual dota a la MS la capacitat de generar i manejar múltiples feixos de manera independent. Finalment, tècniques d’aprenentatge automàtic en general, i les xarxes neuronals en particular, podrien ser útils en aquest context per mitjà de la seva capacitat d’aprendre relacions complexes entre conjunts de dades d’entrada i sortida així com de resoldre equacions diferencials sense tot el càlcul numèric associat. En aquesta direcció, la tesi proposa una solució basada en xarxes neuronals que estima, de manera acurada, el diagrama de radiació i/o diverses mètriques d’interès de la resposta d’una MS, amb l’objectiu d’ajudar en el disseny i programació de MS complexes
Arquitectura de Computadors
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Nguyen, Trong duc. "Conception d'antenne intelligente reconfigurable pour la radio cognitive." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00859818.

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Les antennes reconfigurables offrent de multiples fonctions en changeant dynamiquement leurs propriétés telles que la fréquence de fonctionnement, la polarisation, le diagramme de rayonnement ou toute combinaison de ces trois paramètres. Leur agilité et leur diversité créent de nouvelles possibilités d'applications pour les systèmes radio tels que les réseaux locaux, les liaisons par satellite et notamment la radio cognitive. Dans cette thèse, deux antennes reconfigurables en fréquence fonctionnant dans les bandes des standards sans fil actuels ont été proposées. Elles sont basées sur la modification de la géométrie du patch rayonnant. Leurs dimensions ont été optimisées par algorithmes génétiques embarqués et combinés à un logiciel de simulation électromagnétique. La commande de la reconfiguration de ces antennes est réalisée à l'aide d'un microcontrôleur qui pilote l'état des commutateurs (des diodes PIN). De ce fait, un système d'antenne reconfigurable intelligent dédié à la radio cognitive a été développé.
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Books on the topic "Intelligence reconfigurable"

1

Hamlin, Gregory J. Tetrobot: A Modular Approach to Reconfigurable Parallel Robotics. Boston, MA: Springer US, 1998.

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C, Sanderson A., ed. Tetrobot: A modular approach to reconfigurable parallel robotics. Boston: Kluwer Academic Publishers, 1998.

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Zhang, Hongliang, Boya Di, Lingyang Song, and Zhu Han. Reconfigurable Intelligent Surface-Empowered 6G. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73499-2.

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Sanderson, Arthur C., and Gregory J. Hamlin. Tetrobot A Modular Approach to Reconfigurable Parallel Robotics (The International Series in Engineering and Computer Science). Springer, 1997.

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H/W ro chaegusŏng kanŭng han chʻasedae chinŭnghyŏng tʻonghap tanmallyong SoC e kwanhan yŏnʼgu =: A study on the H/W reconfigurable SoC for next generation intelligent integrated terminal. [Seoul]: Chŏngbo Tʻongsinbu, 2006.

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H/W ro chae kusŏng kanŭnghan chʻa sedae chinŭnghyŏng tʻonghap tanmallyong SoC e kwanhan yŏnʼgu =: A study on the H/W reconfigurable SoC for next generation intelligent integrated terminal. [Seoul]: Chŏngbo Tʻongsinbu, 2006.

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Book chapters on the topic "Intelligence reconfigurable"

1

Støy, Kasper. "Reconfigurable Robots." In Springer Handbook of Computational Intelligence, 1407–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43505-2_73.

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Murata, Satoshi, Akiya Kamimura, Haruhisa Kurokawa, Eiichi Yoshida, Kohji Tomita, and Shigeru Kokaji. "Self-Reconfigurable Robots: Platforms for Emerging Functionality." In Embodied Artificial Intelligence, 312–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27833-7_24.

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Singh, Pramod, and Rekha Aggarwal. "An insight into reconfigurable antenna design." In Artificial Intelligence and Speech Technology, 329–38. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003150664-36.

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Stamatopoulou, Ioanna, Petros Kefalas, and Marian Gheorghe. "Specification of Reconfigurable MAS: A Hybrid Formal Approach." In Advances in Artificial Intelligence, 592–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752912_76.

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Rodríguez, Miguel A. Vega, Juan A. Gómez Pulido, Juan M. Sánchez Pérez, José M. Granado Criado, and Manuel Rubio del Solar. "Reconfigurable Computing and Parallelism for Implementing and Accelerating Evolutionary Algorithms." In Studies in Computational Intelligence, 71–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32839-4_4.

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Marusak, Piotr M. "Easily Reconfigurable Analytical Fuzzy Predictive Controllers: Actuator Faults Handling." In Advances in Computation and Intelligence, 396–405. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92137-0_44.

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Mermoud, Grégory, Andres Upegui, Carlos-Andres Peña, and Eduardo Sanchez. "A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems." In Computational Intelligence and Bioinspired Systems, 572–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11494669_70.

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Valsamos, Harry, Vassilis Moulianitis, and Nikos Aspragathos. "Rapid Evaluation of Reconfigurable Robots Anatomies Using Computational Intelligence." In Knowledge-Based and Intelligent Information and Engineering Systems, 341–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15390-7_35.

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Baldini, Gianmarco, Raimondo Giuliani, and Dimitrios Symeonidis. "Reconfigurable Radio Systems for Public Safety Based on Low-Cost Platforms." In Intelligence and Security Informatics, 237–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89900-6_24.

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Li, Hui-Ya, Yao-Jung Yeh, Wen-Jyi Hwang, and Cheng-Tsun Yang. "High Speed k-Winner-Take-ALL Competitive Learning in Reconfigurable Hardware." In Next-Generation Applied Intelligence, 594–603. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02568-6_60.

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Conference papers on the topic "Intelligence reconfigurable"

1

Shao, Xingyue, Chengbin Lian, Zhang Ren, and Peng Qi. "Swarm Intelligence Based Reconfigurable Control Allocation." In 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2013. http://dx.doi.org/10.1109/imccc.2013.333.

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Cieszewski, Radoslaw. "Accelerating artificial intelligence with reconfigurable computing." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, edited by Ryszard S. Romaniuk. SPIE, 2012. http://dx.doi.org/10.1117/12.2000098.

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Poskar, C. Hart, Peter J. Czezowski, and Robert D. McLeod. "A computational intelligence based coarse-grained reconfigurable element." In the 1999 ACM/SIGDA seventh international symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/296399.296504.

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Marcenaro, L. "A distributed dynamic reconfigurable system for ambient intelligence." In IEE Symposium Intelligent Distributed Surveillance Systems. IEE, 2003. http://dx.doi.org/10.1049/ic:20030047.

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Angliss, Brian E., and H. Scott Hinton. "A Token-based Dynamically Reconfigurable Optical Backplane." In Optics in Computing. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/oc.1997.othd.17.

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This paper will present an architecture for a reconfigurable optical backplane where the communications capacity (the number of parallel connections) between processing elements or switching nodes located on the supported printed circuit boards is dynamically reconfigurable. The dynamic reconfiguration will be controlled by a time-multiplexed two-dimensional (2-D) token that will traverse the ring-based HyperPlane.[1,2] This improvment in smart pixel intelligence will significantly enhance performance for moderately and lightly loaded systems.
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Chen, Shih-Yu, Gwo Giun Chris Lee, Tai-Ping Wang, Chin-Wei Huang, Jia-Hong Chen, and Chang-Ling Tsai. "Reconfigurable Edge via Analytics Architecture." In 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE, 2019. http://dx.doi.org/10.1109/aicas.2019.8771528.

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Hou, Ziye, Yong Pan, Jiang Xiong, Yue Zeng, and Chuanpeng Shen. "A frequency reconfigurable antenna for intelligent mobile robot." In 2021 13th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2021. http://dx.doi.org/10.1109/icaci52617.2021.9435896.

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Hai, Yulin, Xiaodong Zhao, and Yongqiang Liu. "Reconfigurable Computing Availability and Developing Trends." In 2015 11th International Conference on Computational Intelligence and Security (CIS). IEEE, 2015. http://dx.doi.org/10.1109/cis.2015.41.

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Schagaev, Igor, Thomas Kaegi, and Jurg Gutknecht. "ERA: Evolving Reconfigurable Architecture." In 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2010. http://dx.doi.org/10.1109/snpd.2010.40.

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Zhen-Yong, Wang, Yuan Quan, and Wu Fei. "Analysis and Implementation of Intelligent Reconfigurable Terminal Modulation." In 2016 8th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2016. http://dx.doi.org/10.1109/cicn.2016.55.

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Reports on the topic "Intelligence reconfigurable"

1

Mavris, Dimitri N., and Yongchang Li. Integrated Reconfigurable Intelligent Systems (IRIS) for Complex Naval Systems. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada537316.

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Mavris, Dimitri N., and Yongchang Li. Integrated Reconfigurable Intelligent Systems (IRIS) for Complex Naval Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada512564.

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Mavris, Dimitri N. Integrated Reconfigurable Intelligent Systems (IRIS) for Complex Naval Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada506740.

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Mavris, Dimitri N. Integrated Reconfigurable Intelligent Systems (IRIS) for Complex Naval Systems. Fort Belvoir, VA: Defense Technical Information Center, October 2009. http://dx.doi.org/10.21236/ada508366.

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