Journal articles: 'Architectures de contrôle hybride'

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Hapdey, S., I. Gardin, A. Salles, F. Rousselière, A. Edet-Sanson, and P. Véra. "Imagerie hybride : principe, dosimétrie et contrôle de qualité." Médecine Nucléaire 33, no. 5 (May 2009): 285–89. http://dx.doi.org/10.1016/j.mednuc.2009.02.009.

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Redjem, Radia, Khalil Nabti, and Aissa Bouzid. "Amélioration de la qualité de l’énergie électrique d’une chaîne de production hybride photovoltaïque éolienne connectée à un site isolé." Journal of Renewable Energies 20, no. 4 (December 31, 2017): 599–613. http://dx.doi.org/10.54966/jreen.v20i4.653.

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Ce travail vise à améliorer la qualité de l'énergie électrique d'une ligne de production hybride éolienne photovoltaïque connectée à un site isolé. Tout d'abord, la modélisation mathématique de chaque élément du système de conversion est présentée. Les différentes parties de la chaîne de conversion sont ensuite connectées ensemble pour construire le système global. Ensuite, nous étudions le lien entre les chaînes photovoltaïques et éoliennes. Le système d'énergie hybride est utilisé pour alimenter un site isolé avec un contrôle orienté tension (VOC). Le but du système de contrôle est d'améliorer la qualité de l'énergie générée en régulant la tension Udc du circuit intermédiaire pour qu'il suive la valeur de référence Udcref. La validité du modèle unifié développé et la faisabilité des stratégies de contrôle proposées sont toutes confirmées par des résultats simulés à l'aide du logiciel Simulink / Matlab. Les résultats de la simulation sont utilisés pour analyser le comportement de l'ensemble du système et fournir les informations nécessaires qui conduisent à son utilisation dans les conditions appropriées, ce qui conduit à améliorer l'ensemble du système.

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Bastianutti, Julie, Laurence Beierlein, and Guillaume Delalieux. "Régulation hybride dans les chaînes de valeur globales." Revue Française de Gestion 45, no. 284 (October 2019): 11–30. http://dx.doi.org/10.3166/rfg.2019.00374.

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Comment les dispositifs de contrôle des conditions de travail des sous-traitants des FMN s’adaptent-ils aux pressions divergentes des différents acteurs au sein des chaînes globales de valeur ? L’analyse de la genèse du programme pilote de l’OIT Better Factories Cambodia (BFC) montre comment un dispositif de régulation hybride s’est progressivement transformé et a contribué à l’émergence d’un programme global d’audit social (Better Work). L’étude revient sur les conditions d’une possible troisième voie dépassant l’opposition entre régulation publique et privée et souligne l’intérêt des analyses contextualisées et politiques des régimes de régulation socio-environnementale.

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Brunie, Nicolas, and Sylvain Collange. "Reconvergence de contrôle implicite pour les architectures SIMT." Techniques et sciences informatiques 32, no. 2 (February 2013): 153–78. http://dx.doi.org/10.3166/tsi.32.153-178.

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Scolozzi, P., and T. Schouman. "Unité interventionnelle hybride multimodale : de la planification préopératoire au contrôle postopératoire immédiat." Revue de Stomatologie et de Chirurgie Maxillo-faciale 113, no. 2 (April 2012): 115–23. http://dx.doi.org/10.1016/j.stomax.2012.01.009.

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Benevieri, Alessandro, Lorenzo Carbone, Simone Cosso, Krishneel Kumar, Mario Marchesoni, Massimiliano Passalacqua, and Luis Vaccaro. "Series Architecture on Hybrid Electric Vehicles: A Review." Energies 14, no. 22 (November 16, 2021): 7672. http://dx.doi.org/10.3390/en14227672.

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The use of series architecture nowadays is mainly on hybrid buses. In comparison with series-parallel and parallel architectures, which are usually exploited on medium-size cars, the series architecture allows achieving internal combustion engine higher efficiency. The downside of this architecture, due to a double energy conversion (i.e., mechanical energy converted in electrical energy and electrical energy converted again in mechanical energy), is that additional losses are introduced. For this reason, the parallel and the series/parallel architectures were considered more suitable for hybrid medium-size cars. Nevertheless, the use of new technologies can change this scenario. Regarding storage systems, supercapacitors achieved a significant energy density, and they guarantee much higher efficiency than battery storage. Moreover, the use of wide-bandgap components for power electronic converters, such as silicon carbide devices, assure lower losses. In this scenario, the series architecture can become competitive on medium-size cars. This paper shows a review of various studies performed on this topic.

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Umer, Usama, Muhammad Rashid, Adel R. Alharbi, Ahmed Alhomoud, Harish Kumar, and Atif Raza Jafri. "An Efficient Crypto Processor Architecture for Side-Channel Resistant Binary Huff Curves on FPGA." Electronics 11, no. 7 (April 2, 2022): 1131. http://dx.doi.org/10.3390/electronics11071131.

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This article presents an efficient crypto processor architecture for point multiplication acceleration of side-channel secured Binary Huff Curves (BHC) on FPGA (field-programmable gate array) over GF(2233). We have implemented six finite field polynomial multiplication architectures, i.e., (1) schoolbook, (2) hybrid Karatsuba, (3) 2-way-karatsuba, (4) 3-way-toom-cook, (5) 4-way-toom-cook and (6) digit-parallel-least-significant. For performance evaluation, each implemented polynomial multiplier is integrated with the proposed BHC architecture. Verilog HDL is used for the implementation of all the polynomial multipliers. Moreover, the Xilinx ISE design suite tool is employed as an underlying simulation platform. The implementation results are presented on Xilinx Virtex-6 FPGA devices. The achieved results show that the integration of a hybrid Karatsuba multiplier with the proposed BHC architecture results in lower hardware resources. Similarly, the use of a least-significant-digit-parallel multiplier in the proposed design results in high-speed (in terms of both clock frequency and latency). Consequently, the proposed BHC architecture, integrated with a least-significant-digit-parallel multiplier, is 1.42 times faster and utilizes 1.80 times lower FPGA slices when compared to the most recent BHC accelerator architectures.

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Rogovchenko, Olena, and Jacques Malenfant. "Interfaces riches pour des architectures de contrôle de robots compositionnelles." Techniques et sciences informatiques 30, no. 6 (July 28, 2011): 711–39. http://dx.doi.org/10.3166/tsi.30.711-739.

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Rogovchenko, Olena, and Jacques Malenfant. "Composants et composition pour les architectures de contrôle de robots." Journal Européen des Systèmes Automatisés 42, no. 4 (May 19, 2008): 423–38. http://dx.doi.org/10.3166/jesa.42.423-438.

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Munandar, Devi, Andri Fachrur Rozie, and Andria Arisal. "A multi domains short message sentiment classification using hybrid neural network architecture." Bulletin of Electrical Engineering and Informatics 10, no. 4 (August 1, 2021): 2181–91. http://dx.doi.org/10.11591/eei.v10i4.2790.

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Sentiment analysis of short texts is challenging because of its limited context of information. It becomes more challenging to be done on limited resource language like Bahasa Indonesia. However, with various deep learning techniques, it can give pretty good accuracy. This paper explores several deep learning methods, such as multilayer perceptron (MLP), convolutional neural network (CNN), long short-term memory (LSTM), and builds combinations of those three architectures. The combinations of those three architectures are intended to get the best of those architecture models. The MLP accommodates the use of the previous model to obtain classification output. The CNN layer extracts the word feature vector from text sequences. Subsequently, the LSTM repetitively selects or discards feature sequences based on their context. Those advantages are useful for different domain datasets. The experiments on sentiment analysis of short text in Bahasa Indonesia show that hybrid models can obtain better performance, and the same architecture can be directly used in another domain-specific dataset.

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DSOUZA, Kevin Joy, and Zahid Ahmed ANSARI. "HISTOPATHOLOGY IMAGE CLASSIFICATION USING HYBRID PARALLEL STRUCTURED DEEP-CNN MODELS." Applied Computer Science 18, no. 1 (March 30, 2022): 20–36. http://dx.doi.org/10.35784/acs-2022-2.

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The healthcare industry is one of the many out there that could majorly benefit from advancement in the technology it utilizes. Artificial intelligence (AI) technologies are especially integral and specifically deep learning (DL); a highly useful data-driven technology. It is applied in a variety of different methods but it mainly depends on the structure of the available data. However, with varying applications, this technology produces data in different contexts with particular connotations. Reports which are the images of scans play a great role in identifying the existence of the disease in a patient. Further, the automation in processing these images using technology like CNN-based models makes it highly efficient in reducing human errors otherwise resulting in large data. Hence this study presents a hybrid deep learning architecture to classify the histopathology images to identify the presence of cancer in a patient. Further, the proposed models are parallelized using the TensorFlow-GPU framework to accelerate the training of these deep CNN (Convolution Neural Networks) architectures. This study uses the transfer learning technique during training and early stopping criteria are used to avoid overfitting during the training phase. these models use LSTM parallel layer imposed in the model to experiment with four considered architectures such as MobileNet, VGG16, and ResNet with 101 and 152 layers. The experimental results produced by these hybrid models show that the capability of Hybrid ResNet101 and Hybrid ResNet152 architectures are highly suitable with an accuracy of 90% and 92%. Finally, this study concludes that the proposed Hybrid ResNet-152 architecture is highly efficient in classifying the histopathology images. The proposed study has conducted a well-focused and detailed experimental study which will further help researchers to understand the deep CNN architectures to be applied in application development.

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Muškatirović-Zekić, Tamara, Nataša Nešković, and Djuradj Budimir. "Efficient Neural Network DPD Architecture for Hybrid Beamforming mMIMO." Electronics 12, no. 3 (January 25, 2023): 597. http://dx.doi.org/10.3390/electronics12030597.

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This paper presents several different Neural Network based DPD architectures for hybrid beamforming (HBF) mMIMO applications. They are formulated, tested and compared based on their ability to compensate nonlinear distortion of power amplifiers in a single user (SU) and multiuser (MU) Fully-Connected (FC) HBF mMIMO transmitters. The proof-of-concept is provided with a 64 × 64 FC HBF mMIMO system, with 2 RF chains. The complexity of DPD solution is reduced by using a single Real-Valued Time-Delay Neural Network with two hidden layers (RVTDNN2L) instead of using as many different DPD blocks as there are RF chains in the HBF mMIMO transmitter and it is shown that the proposed architecture better compensates nonlinear distortion compared to the traditional memory polynomial DPD. Two RVTDNN2L DPD architectures are developed and tested for linearization of MU FC HBF mMIMO systems, and it is also shown that the proposed RVTDNN2L DPD architecture efficiently linearizes MU FC HBF mMIMO transmitters in terms of Normalized Mean-Squared Error (NMSE) and Error Vector Magnitude (EVM).

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Blanck, Julie. "Des dispositifs pluralistes sous contrôle : internaliser les critiques pour gouverner le stockage des déchets radioactifs." Natures Sciences Sociétés 29 (2021): S33—S42. http://dx.doi.org/10.1051/nss/2021042.

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Le stockage géologique de déchets radioactifs constitue un cas de politisation du sous-sol, autour d’un objet hybride alliant activités minières et nucléaires. Cet article explore les transformations du gouvernement de ce stockage, avec la mise en place de trois dispositifs pluralistes de pilotage et d’internalisation de critiques, afin de désamorcer les mouvements contestataires au moment de sa réalisation. Il étudie successivement la démarche de concertation pour la sélection de la zone d’implantation ; le groupe de pilotage du plan national pour la gestion des matières et déchets radioactifs et le débat public organisé en 2013 sur les modalités du stockage. À travers ces trois dispositifs, les promoteurs du projet tentent d’en maîtriser la politisation : ils intègrent ou écartent certaines critiques pour légitimer un projet contesté, tout en verrouillant son opportunité.

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Barbierato, Enrico, Daniele Manini, and Marco Gribaudo. "A Multiformalism-Based Model for Performance Evaluation of Green Data Centres." Electronics 12, no. 10 (May 10, 2023): 2169. http://dx.doi.org/10.3390/electronics12102169.

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Although the coexistence of ARM and INTEL technologies in green data centres is technically feasible, significant challenges exist that must be addressed. These challenges stem from the differences in instruction sets and power consumption between the two processor architectures. While ARM processors are known for their energy efficiency, INTEL processors tend to consume more power. Consequently, evaluating the performance of hybrid architectures can be a complex task. The contributions of this article consist of (i) a multiformalism-based model of a data centre, providing a natural and convenient approach to the specification process and performance analysis of a realistic scenario and (ii) a review of the performance indices, including the choice of one architecture over another, power consumption, the response time, and request loss, according to different policies. As a result, the model aims to address issues such as system underutilization and the need to estimate the optimal workload balance, thereby providing an effective solution for evaluating the performance of hybrid hardware architectures.

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Montpetit, Éric. "La démocratisation de la gestion des risques." II. Démocratisation de la gestion des risques, no. 50 (June 29, 2004): 91–104. http://dx.doi.org/10.7202/008281ar.

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Résumé La gestion des risques liés aux biotechnologies a traditionnellement été accomplie en conformité aux principes de la rationalité managériale, qui confinent à l’intérieur de rôles très précis les scientifiques, les managers et les politiciens. Les récents scandales du sang contaminé et de la vache folle ont non seulement contribué à remettre en cause les préceptes de cette rationalité managériale, mais aussi accru la sensibilité de certains gouvernants aux discours sur la démocratisation de la gestion des risques. Cet article présente deux modèles divergents de démocratisation de la gestion des risques dans le domaine des OGM, et un cas hybride. Le premier modèle, observé au Canada, ne remet pas fondamentalement en question les principes de la rationalité managériale, bien que ses partisans n’hésitent pas à recourir à la rhétorique de la démocratisation. Le deuxième, celui des perspectives contradictoires observé en France, est plus fidèle aux idées de démocratisation qui trouvent leur source dans la théorie critique de la rationalité managériale. Enfin, le cas hybride, celui du Royaume-Uni, permet à l’auteur de conclure que le modèle de la subordination à la rationalité managériale n’est tenable que dans un contexte institutionnel qui favorise un strict contrôle politique du discours sur les risques.

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Megson, Gavin, Sabyasachi Gupta, Syed Muhammad Hashir, Ehsan Aryafar, and Joseph Camp. "An Experiment-Based Comparison between Fully Digital and Hybrid Beamforming Radio Architectures for Many-Antenna Full-Duplex Wireless Communication." Electronics 11, no. 1 (December 25, 2021): 59. http://dx.doi.org/10.3390/electronics11010059.

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Full-duplex (FD) communication in many-antenna base stations (BSs) is hampered by self-interference (SI). This is because a FD node’s transmitting signal generates significant interference to its own receiver. Recent works have shown that it is possible to reduce/eliminate this SI in fully digital many-antenna systems, e.g., through transmit beamforming by using some spatial degrees of freedom to reduce SI instead of increasing the beamforming gain. On a parallel front, hybrid beamforming has recently emerged as a radio architecture that uses multiple antennas per FR chain. This can significantly reduce the cost of the end device (e.g., BS) but may also reduce the capacity or SI reduction gains of a fully digital radio system. This is because a fully digital radio architecture can change both the amplitude and phase of the wireless signal and send different data streams from each antenna element. Our goal in this paper is to quantify the performance gap between these two radio architectures in terms of SI cancellation and system capacity, particularly in multi-user MIMO setups. To do so, we experimentally compare the performance of a state-of-the-art fully digital many antenna FD solution to a hybrid beamforming architecture and compare the corresponding performance metrics leveraging a fully programmable many-antenna testbed and collecting over-the-air wireless channel data. We show that SI cancellation through beam design on a hybrid beamforming radio architecture can achieve capacity within 16% of that of a fully digital architecture. The performance gap further shrinks with a higher number of quantization bits in the hybrid beamforming system.

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Lavéant, Katell. "Une scène incontrôlable ? L’encadrement juridique des pratiques théâtrales à Lille et dans sa région à l’époque de la Réforme." Tangence, no. 104 (August 21, 2014): 11–26. http://dx.doi.org/10.7202/1026238ar.

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En parallèle à la législation impériale qui se met en place au cours du xvie siècle dans les Pays-Bas pour contrôler le théâtre comme possible instrument de propagation des idées de la Réforme, il existe une longue tradition locale dans les villes francophones de la région qui régule l’activité dramatique depuis le xive siècle au moins. En analysant ces différentes sources, et en prenant l’exemple spécifique des registres des délibérations du Magistrat de Lille, on peut étudier le rôle que le théâtre — et plus généralement l’ensemble de la culture récréative et des spectacles — a pu jouer comme lieu d’expression pour les protestants dans cette région. Il apparaît alors que c’est bien le statut hybride du théâtre, entre écrit et oral, qui a pu constituer un outil efficace pour les sympathisants de la Réforme, acteurs comme spectateurs, pour déjouer le contrôle des autorités.

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Lanzarotto, D., M. Marchesoni, M. Passalacqua, A. Pini Prato, and M. Repetto. "Overview of different hybrid vehicle architectures." IFAC-PapersOnLine 51, no. 9 (2018): 218–22. http://dx.doi.org/10.1016/j.ifacol.2018.07.036.

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Carnis, Laurent. "Le contrôle automatisé de la vitesse en Australie : quelques enseignements pour mener une politique de dissuasion efficace." Criminologie 41, no. 2 (November 26, 2008): 269–90. http://dx.doi.org/10.7202/019440ar.

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Résumé Le contrôle automatisé de la vitesse (CAV) constitue une modalité d’intervention des autorités pour réduire le nombre de victimes de la route. Cette technique de détection permet d’accroître l’intensité des contrôles, d’augmenter la sanction potentielle des contrevenants et de rendre possible une procédure judiciaire plus rapide. Ce type de dispositif a été introduit pour la première fois en Australie au milieu des années 1980 dans l’État de Victoria. Depuis, cette technique s’est généralisée à l’ensemble des États. Les dispositifs en fonctionnement se révèlent fort divers et s’appuient sur des stratégies spécifiques. Néanmoins, ces expériences convergent vers une même conclusion : la diminution significative des accidents de la circulation et le nombre de victimes. Ils s’avèrent donc particulièrement efficaces. Par ailleurs, ces différents programmes de contrôle s’appuient sur des architectures organisationnelles et institutionnelles différentes, illustrant par la même une certaine souplesse quant à leur implantation dans des environnements particuliers. Toutefois, ils reposent tous sur les principes simples des « 4C » (contrôle, coopération, communication et continuité), nécessitant l’intégration des acteurs clés.

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Fett, Michel, Marcel Kraft, Fabian Wilking, Stefan Goetz, Sandro Wartzack, and Eckhard Kirchner. "Medium-Level Architectures for Digital Twins: Bridging Conceptual Reference Architectures to Practical Implementation in Cloud, Edge and Cloud–Edge Deployments." Electronics 13, no. 7 (April 5, 2024): 1373. http://dx.doi.org/10.3390/electronics13071373.

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The integration of Digital Twins (DTs) is becoming increasingly important in various industries. This entails the need for a comprehensive and practical IT infrastructure framework. This paper presents a modifiable medium-level architecture that serves as a link between established reference architectures such as RAMI 4.0 and the pragmatic implementation of Digital Twins. The functionalities of an IT infrastructure are considered, and functional hardware and software components for fulfilling these are described. The proposed architecture is suitable for various deployment scenarios, including local, cloud and hybrid cloud–edge configurations. In order to improve the applicability of the medium-level architecture, a step-by-step procedure is also proposed, which helps to transfer the overarching requirements for a Digital Twin into a suitable IT infrastructure. Finally, the results are demonstrated by an exemplary application to a two-stage industrial gearbox.

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Chao, Yan. "Hybrid architectures for intelligent systems." Engineering Applications of Artificial Intelligence 5, no. 6 (November 1992): 561–62. http://dx.doi.org/10.1016/0952-1976(92)90032-f.

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Hannoufa, S., M. Z. Allouche, D. Imatoukene, and E. M. Haffaf. "Contrôle de qualité et tests de performance de la gamma caméra hybride TEMP/TDM type Brightview XCT Philips." Médecine Nucléaire 39, no. 3 (May 2015): 218. http://dx.doi.org/10.1016/j.mednuc.2015.03.049.

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Zacharof, Nikiforos, Evangelos Bitsanis, Stijn Broekaert, and Georgios Fontaras. "Reducing CO2 Emissions of Hybrid Heavy-Duty Trucks and Buses: Paving the Transition to Low-Carbon Transport." Energies 17, no. 2 (January 5, 2024): 286. http://dx.doi.org/10.3390/en17020286.

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This study investigates the CO2 reduction potential of powertrain hybridisation on heavy-duty lorries and city buses. The analysis considers modern parallel and serial hybrid architectures, assessing their efficiency and limits in CO2 emission reduction through vehicle simulation in VECTO, which is the official tool of the European Commission for calculating heavy-duty vehicle fuel and energy consumption. The results reveal distinct trends for each vehicle type and architecture. In lorries, more significant improvements are observed in urban delivery profiles, reaching up to ~16%, indicating the benefits of hybridisation in transient conditions with energy recuperation opportunities. City buses, particularly those with serial architectures, exhibit significant emission reductions that reach 36%, making them suitable for urban environments. The optimisation of electric motor size and performance plays a crucial role in achieving emission reductions, while battery capacity must be carefully considered to avoid adverse effects. For lorries in urban delivery use, further improvements of 17.5% can be achieved by utilising a 160 kW engine motor and 30 kWh battery. Buses are already quite well optimised, with serial architecture presenting the highest benefits with a 120 kW electric motor and a battery of 11 kWh. Future research should focus on supercapacitors and gearboxes to improve efficiency at higher vehicle speeds and assess hybridisation potential in interurban coach travel. The heavy-duty vehicle sector can make significant strides towards low-carbon transport by maximising hybrid powertrain efficiency and emission reductions.

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Trojman, L., F. Viteri, and E. Sicard. "Pédagogie hybride pour l’apprentissage de la conception d’un microprocesseur simplifié niveau master avec μWind." J3eA 21 (2022): 1005. http://dx.doi.org/10.1051/j3ea/20221005.

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En 2016, nous avons lancé le premier master de Nanoélectronique en Équateur à l’Universidad San Francisco de Quito (USFQ). Il s’agit d’un master en Double Diplôme dont le Master 1 (M1) se fait en Equateur et le Master 2 (M2) soit en France (Institut National Polytechnique de Toulouse, INPT) soit en Italie (Université de Calabres, UNICAL). Parmi les cours proposés le cours de design de microprocesseur de 48h est divisé en 2 parties dont une se concentrant sur le design d’un VSM (Very Simple Microprocessor). Dans une pédagogie de type classe inversée, une approche de type Apprentissage Par Projet (APP) a été choisie en utilisant comme support l’outil de design Microwind, logiciel de design de circuits intégrés incluant une perspective technologique. Ce type de travail a été reproduit tous les ans et Microwind a continué à intégrer de nouveaux noeuds technologiques avec de nouvelle architectures : planar, FinFET et plus récemment Nano-Sheet FET. De cette façon chaque nouvelle promotion peut apprendre à pratiquer l’intégration des VSM « customized » avec la possibilité d’intégrer des noeuds technologiques les plus avancés.

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Saadate, Shahrokh, and Seyed Hamid Shahalami. "Filtrage hybride des harmoniques engendrés par une charge fortement polluante Application des algorithmes génétiques pour la boucle de contrôle." Revue internationale de génie électrique 6, no. 1-2 (April 30, 2003): 143–66. http://dx.doi.org/10.3166/rige.6.143-166.

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Saadate, Shahrokh, and Seyed Hamid Shahalami. "Filtrage hybride des harmoniques engendrés par une charge fortement polluante Application des algorithmes génétiques pour la boucle de contrôle." Revue internationale de génie électrique 6, no. 3-4 (August 30, 2003): 357–76. http://dx.doi.org/10.3166/rige.6.357-376.

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Ghosh, Debjani, Caroline Willich, Christiane Bauer, and Josef Kallo. "Demonstration of a Novel Alternating Current Hybrid Concept for a Fuel Cell–Battery Hybrid Electric Aircraft." Energies 14, no. 21 (November 4, 2021): 7350. http://dx.doi.org/10.3390/en14217350.

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Hybrid electric aircraft offer the potential to decrease emissions from air travel. A new hybrid concept is proposed for a fuel cell-battery hybrid aircraft. In contrast to existing hybrids, the proposed concept puts a battery directly on the AC phases of the motor, which together with a suitable switching circuit superimposes the DC voltage from the battery on the AC voltage of the motor phase providing a voltage boost depending on the battery voltage, which can be used during a high-power demand flight phase. The system is also capable of recharging the battery during flight. The necessary switching architecture was developed and modeled in MATLAB/Simulink to verify the concept and an experimental setup was built for demonstrating the functionality. Simulation and experimental results showed a very good agreement which is very promising for the proposed new hybrid topology.

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Oliveira, Jauvane C. de, and Nicolas D. Georganas. "VELVET: An Adaptive Hybrid Architecture for Very Large Virtual Environments." Presence: Teleoperators and Virtual Environments 12, no. 6 (December 2003): 555–80. http://dx.doi.org/10.1162/105474603322955888.

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Collaborative virtual environment (CVE) concepts have been used in many systems in the past few years. Applications of such technology range from military combat simulations to various civilian commercial applications. The architectures available today provide support for a number of users, but they fail if too many users are together in a small “space” in the virtual world. This paper introduces VELVET, an adaptive hybrid architecture that allows a greater number of users to interact through a CVE. This is accomplished through an adaptive filtering scheme based on multicasting. VELVET also supports small groups of users, but its use in large environments shows the greatest potential, better handling local concentrations of activity than region-, cell-, orlocale-based approaches. VELVET introduces a novel adaptive area of interest management that supports heterogeneity amongst the various participants. This allows users in a supercomputer with high-speed networking to successfully collaborate with others in not-so-powerful systems behind a slow dial-up connection.

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Raveendhra, Dogga, Rajana Poojitha, Beeramangalla Lakshminarasaiah Narasimharaju, Aliona Dreglea, Fang Liu, Daniil Panasetsky, Mukesh Pathak, and Denis Sidorov. "Part-I: State-of-the-Art Technologies of Solar Powered DC Microgrid with Hybrid Energy Storage Systems-Architecture Topologies." Energies 16, no. 2 (January 13, 2023): 923. http://dx.doi.org/10.3390/en16020923.

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In the case of microgrid (MG) systems, the choice of the right configuration plays a vital role to meet grid/load necessities when integrating low voltage, non-linear and highly sensitive (to environmental conditions) power sources such as solar PV modules, batteries and supercapacitors (SCs), etc. In the case of MG systems, the choice of the right configuration and the appropriate type of power converters in any application can have a significant impact on the optimum performance. Numerous architectures have been proposed for the integration of various energy sources to achieve optimum performance. A large number of research articles have been published in these areas. In this article, the detailed organization of various architectures based on the arrangement of various sources and detailed analyses is presented along with a discussion on those architectures. Moreover, the suitability of all the reviewed architectures based on driving factors such as (a) high conversion gain, (b) good power decoupling, (c) high efficiency, (d) isolation, (e) power-handling capabilities and (f) compact design is presented in the discussions section. The critical examination and comparative study presented in this work can assist both industry personnel and academicians in selecting the best architectural and power converter topologies required for optimum performance.

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Gao, Peng, Xiao Liu, Hong-Chuan Sang, Yu Wang, and Fei Wang. "Efficient and Lightweight Visual Tracking with Differentiable Neural Architecture Search." Electronics 12, no. 17 (August 27, 2023): 3623. http://dx.doi.org/10.3390/electronics12173623.

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Over the last decade, Siamese network architectures have emerged as dominating tracking paradigms, which have led to significant progress. These architectures are made up of a backbone network and a head network. The backbone network comprises two identical feature extraction sub-branches, one for the target template and one for the search candidate. The head network takes both the template and candidate features as inputs and produces a local similarity score for the target object in each location of the search candidate. Despite promising results that have been attained in visual tracking, challenges persist in developing efficient and lightweight models due to the inherent complexity of the task. Specifically, manually designed tracking models that rely heavily on the knowledge and experience of relevant experts are lacking. In addition, the existing tracking approaches achieve excellent performance at the cost of large numbers of parameters and vast amounts of computations. A novel Siamese tracking approach called TrackNAS based on neural architecture search is proposed to reduce the complexity of the neural architecture applied in visual tracking. First, according to the principle of the Siamese network, backbone and head network search spaces are constructed, constituting the search space for the network architecture. Next, under the given resource constraints, the network architecture that meets the tracking performance requirements is obtained by optimizing a hybrid search strategy that combines distributed and joint approaches. Then, an evolutionary method is used to lighten the network architecture obtained from the search phase to facilitate deployment to devices with resource constraints (FLOPs). Finally, to verify the performance of TrackNAS, comparison and ablation experiments are conducted using several large-scale visual tracking benchmark datasets, such as OTB100, VOT2018, UAV123, LaSOT, and GOT-10k. The results indicate that the proposed TrackNAS achieves competitive performance in terms of accuracy and robustness, and the number of network parameters and computation volume are far smaller than those of other advanced Siamese trackers, meeting the requirements for lightweight deployment to resource-constrained devices.

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Arbab-Zavar, Babak, Emilio J. Palacios-Garcia, Juan C. Vasquez, and Josep M. Guerrero. "LoRa Enabled Smart Inverters for Microgrid Scenarios with Widespread Elements." Electronics 10, no. 21 (November 2, 2021): 2680. http://dx.doi.org/10.3390/electronics10212680.

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The introduction of low-power wide-area networks (LPWANs) has changed the image of smart systems, due to their wide coverage and low-power characteristics. This category of communication technologies is the perfect candidate to be integrated into smart inverter control architectures for remote microgrid (MG) applications. LoRaWAN is one of the leading LPWAN technologies, with some appealing features such as ease of implementation and the possibility of creating private networks. This study is devoted to analyze and evaluate the aforementioned integration. Initially, the characteristics of different LPWAN technologies are introduced, followed by an in-depth analysis of LoRa and LoRaWAN. Next, the role of communication in MGs with widespread elements is explained. A point-by-point LoRa architecture is proposed to be implemented in the grid-feeding control structure of smart inverters. This architecture is experimentally evaluated in terms of latency analysis and externally generated power setpoint, following smart inverters in different LoRa settings. The results demonstrate the effectiveness of the proposed LoRa architecture, while the settings are optimally configured. Finally, a hybrid communication system is proposed that can be effectively implemented for remote residential MG management.

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Ariola, Marco, Gianmaria De Tommasi, Gaetano Tartaglione, and Francesco Amato. "Hybrid architecture for vehicle lateral collision avoidance." IET Control Theory & Applications 12, no. 14 (September 24, 2018): 1941–50. http://dx.doi.org/10.1049/iet-cta.2017.1387.

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Arockiyadoss, Michael Augustine, Amare Mulatie Dehnaw, Yibeltal Chanie Manie, Stotaw Talbachew Hayle, Cheng-Kai Yao, Chun-Hsiang Peng, Pradeep Kumar, and Peng-Chun Peng. "Self-Healing Fiber Bragg Grating Sensor System Using Free-Space Optics Link and Machine Learning for Enhancing Temperature Measurement." Electronics 13, no. 7 (March 29, 2024): 1276. http://dx.doi.org/10.3390/electronics13071276.

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This research investigates the integration of free-space optics (FSO) with fiber Bragg grating (FBG) sensors in self-healing ring architectures, aiming to improve reliability and signal-to-noise ratio in temperature sensing within sensor systems. The combination of FSO’s wireless connectivity and FBG sensors’ precision, known for their sensitivity and immunity to electromagnetic interference, is particularly advantageous in demanding environments such as aerospace and structural health monitoring. The self-healing architecture enhances system resilience, automatically compensating for failures to maintain consistent monitoring capabilities. This study emphasizes the use of intensity wavelength division multiplexing (IWDM) to manage the complexities of increasing the multiplexing number of FBG sensors. Challenges arise with the overlapping spectra of FBGs when multiplexing several sensors. To address this, a hybrid approach combining an unsupervised autoencoder (AE) with a convolutional neural network (CNN) is proposed, significantly enhancing the accuracy and efficiency of sensor signal detection. These advancements signify substantial progress in sensor technology, validating the effectiveness of the AE-CNN hybrid model in refining FBG sensor systems and underscoring its potential for robust and reliable applications in critical sectors.

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Hueting, Raymond. "The Balancing Act in Ferroelectric Transistors: How Hard Can It Be?" Micromachines 9, no. 11 (November 7, 2018): 582. http://dx.doi.org/10.3390/mi9110582.

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For some years now, the ever continuing dimensional scaling has no longer been considered to be sufficient for the realization of advanced CMOS devices. Alternative approaches, such as employing new materials and introducing new device architectures, appear to be the way to go forward. A currently hot approach is to employ ferroelectric materials for obtaining a positive feedback in the gate control of a switch. This work elaborates on two device architectures based on this approach: the negative-capacitance and the piezoelectric field-effect transistor, i.e., the NC-FET (negative-capacitance field-effect transistor), respectively π -FET. It briefly describes their operation principle and compares those based on earlier reports. For optimal performance, the adopted ferroelectric material in the NC-FET should have a relatively wide polarization-field loop (i.e., “hard” ferroelectric material). Its optimal remnant polarization depends on the NC-FET architecture, although there is some consensus in having a low value for that (e.g., HZO (Hafnium-Zirconate)). π -FET is the piezoelectric coefficient, hence its polarization-field loop should be as high as possible (e.g., PZT (lead-zirconate-titanate)). In summary, literature reports indicate that the NC-FET shows better performance in terms of subthreshold swing and on-current. However, since its operation principle is based on a relatively large change in polarization the maximum speed, unlike in a π -FET, forms a big issue. Therefore, for future low-power CMOS, a hybrid solution is proposed comprising both device architectures on a chip where hard ferroelectric materials with a high piezocoefficient are used.

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Sobhan Bhuiyan, Mohammad Arif, Md Rownak Hossain, Khairun Nisa’ Minhad, Fahmida Haque, Mohammad Shahriar Khan Hemel, Omar Md Dawi, Mamun Bin Ibne Reaz, and Kelvin J. A. Ooi. "CMOS Low-Dropout Voltage Regulator Design Trends: An Overview." Electronics 11, no. 2 (January 9, 2022): 193. http://dx.doi.org/10.3390/electronics11020193.

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Systems-on-Chip’s (SoC) design complexity demands a high-performance linear regulator architecture to maintain a stable operation for the efficient power management of today’s devices. Over the decades, the low-dropout (LDO) voltage regulator design has gained attention due to its design scalability with better performance in various application domains. Industry professionals as well as academia have put forward their innovations such as event-driven explicit time-coding, exponential-ratio array, switched RC bandgap reference circuit, etc., to make a trade-off between several performance parameters such as die area, ripple rejection, supply voltage range, and current efficiency. However, current LDO architectures in micro and nanometer complementary metal–oxide–semiconductor (CMOS) technology face some challenges, such as short channel effects, gate leakage, fabrication difficulty, and sensitivity to process variations at nanoscale. This review presents the LDO architectures, optimization techniques, and performance comparisons in different LDO design domains such as digital, analog, and hybrid. In this review, various state-of-the-art circuit topologies, deployed for the betterment of LDO performance and focusing on the specific parameter up-gradation to the overall improvement of the functionality, are framed, which will serve as a comparative study and reference for researchers.

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Peterson, Gilbert L., Jeffrey P. Duffy, and Daylond J. Hooper. "Dynamic Behavior Sequencing for Hybrid Robot Architectures." Journal of Intelligent & Robotic Systems 64, no. 2 (January 13, 2011): 179–96. http://dx.doi.org/10.1007/s10846-010-9535-3.

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Cassimatis, Nicholas, Perrin Bignoli, Magdalena Bugajska, Scott Dugas, Unmesh Kurup, Arthi Murugesan, and Paul Bello. "An Architecture for Adaptive Algorithmic Hybrids." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40, no. 3 (June 2010): 903–14. http://dx.doi.org/10.1109/tsmcb.2009.2033262.

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Nooh Almotiry, Omar, Mohemmed Sha, Mohamudha Parveen Rahamathulla, and Omer Salih Dawood Omer. "Hybrid Cloud Architecture for Higher Education System." Computer Systems Science and Engineering 36, no. 1 (2021): 1–12. http://dx.doi.org/10.32604/csse.2021.014267.

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Jiménez-Moreno, Robinson, and Javier Orlando Pinzón-Arenas. "New Hybrid Fuzzy-CNN Architecture for Human-Robot Interaction." International Review of Automatic Control (IREACO) 12, no. 5 (September 30, 2019): 236. http://dx.doi.org/10.15866/ireaco.v12i5.17816.

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Oh, Sung Kwang, Kwang Sub Yoon, and Jonghwan Lee. "A Reconfigurable Hybrid ADC Using a Jump Search Algorithm." Electronics 13, no. 3 (February 1, 2024): 606. http://dx.doi.org/10.3390/electronics13030606.

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This paper presents a reconfigurable hybrid Analog to Digital Converter (ADC) designed specifically for bio-signal processing, aiming to achieve low power consumption and high area efficiency. The proposed ADC utilizes a combination of 10-bit Most Significant Bit (MSB) Successive Approximation Register (SAR) and 2–4-bit Least Significant Bit (LSB) Single Slope (SS) architectures. The SS architecture incorporates the Dummy Capacitor Quantization Method (DCQM) which employs a 10-bit MSB dummy capacitor. This dummy capacitor can be configured to represent the 2-LSBs or reconstruct 4-LSBs. The reconfigurability of the ADC is achieved through the control of the reset timing of a 5-bit counter enabled by an external signal. The proposed ADC was fabricated using a Complementary Metal Oxide Semiconductor (CMOS) n-well 1-poly 8-metal process. Experimental measurements revealed that the ADC operates at a speed of 454 kS/s with power consumption of 18.7 μW. The Effective Number of Bits (ENoB) achieved by the ADC is 10.9 bits based on a 14-bit scale or 10.2 bits based on a 12-bit scale. The Figure of Merit (FoM) for the ADC is calculated to be 21.5 fJ/step for the 14-bit scale and 22.1 fJ/step for the 12-bit scale.

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Reece, Douglas A. "Movement Behavior for Soldier Agents on a Virtual Battlefield." Presence: Teleoperators and Virtual Environments 12, no. 4 (August 2003): 387–410. http://dx.doi.org/10.1162/105474603322391622.

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We have developed a movement behavior model for soldier agents who populate a virtual battlefield environment. Whereas many simulations have addressed human movement behavior before, none of them has comprehensively addressed realistic military movement at individual and unit levels. To design an appropriate movement behavior model, we found it necessary to elaborate all of the requirements on movement from the military tasks of interest, define a behavior architecture that encompasses all required movement tasks, select appropriate movement planning and control approaches in light of the requirements, and implement the planning and control algorithms with novel enhancements to achieve satisfactory results. The breadth of requirements in this problem domain makes simple behavior architectures inadequate and prevents any single planning approach from easily accomplishing all tasks. In our behavior architecture, a hierarchy of tasks is distributed over unit leaders and unit members. For movement planning, we use an A* search algorithm on a hybrid search space comprising a two-dimensional regular grid and a topological map; the plan produced is a series of waypoints annotated with posture and speed changes. Individuals control movement with reactive steering behaviors. The result is a system that can realistically plan and execute a variety of unit and individual agent movement tasks on a virtual battlefield.

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Raveendhra, Dogga, Rajana Poojitha, Beeramangalla Lakshminarasaiah Narasimharaju, Alexander Domyshev, Aliona Dreglea, Minh Hien Dao, Mukesh Pathak, Fang Liu, and Denis Sidorov. "Part II: State-of-the-Art Technologies of Solar-Powered DC Microgrid with Hybrid Energy Storage Systems: Converter Topologies." Energies 16, no. 17 (August 25, 2023): 6194. http://dx.doi.org/10.3390/en16176194.

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Over the past few years, there have been significant advancements in Microgrid (MG) systems, particularly in the field of power electronics. These advancements aim to address the needs of the grid and loads, while integrating low-voltage, non-linear, and highly sensitive power sources, such as solar PV modules, batteries, and supercapacitors. It is crucial to select the appropriate converter configuration and power converters in MG systems, as they greatly impact their optimal performance. To achieve the best results, numerous architectures and converter configurations have been suggested for integrating different energy sources. As a result, a considerable number of research articles have been published, necessitating a thorough review. This article continues studies of Part I and presents a comprehensive overview of various architectures based on the arrangement of different sources and provides a detailed analysis and discussion of these architectures. This article covers thirty-three different categories of DC-DC converters, both isolated and non-isolated. These converters are divided into subcategories, such as conventional type, switched-capacitor type, soft-switching type, multi-phase type, and multilevel type. The article also evaluates the suitability of these topologies based on factors such as high conversion gain, power decoupling, efficiency, isolation, power handling capabilities, and compact design. The critical examination and comparative study presented in this work can be valuable for industry professionals and academics in selecting the most suitable architectural and power converter topologies for optimal performance.

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Jafarzadehpour, Fereshteh, Amir Sabbagh Molahosseini, Azadeh Alsadat Emrani Zarandi, and Leonel Sousa. "New energy‐efficient hybrid wide‐operand adder architecture." IET Circuits, Devices & Systems 13, no. 8 (November 2019): 1221–31. http://dx.doi.org/10.1049/iet-cds.2019.0084.

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Albukhari, Almothana, and Ulrich Mescheder. "Inchworm Motors and Beyond: A Review on Cooperative Electrostatic Actuator Systems." Actuators 12, no. 4 (April 4, 2023): 163. http://dx.doi.org/10.3390/act12040163.

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Having benefited from technological developments, such as surface micromachining, high-aspect-ratio silicon micromachining and ongoing miniaturization in complementary metal–oxide–semiconductor (CMOS) technology, some electrostatic actuators became widely used in large-volume products today. However, due to reliability-related issues and inherent limitations, such as the pull-in instability and extremely small stroke and force, commercial electrostatic actuators are limited to basic implementations and the micro range, and thus cannot be employed in more intricate systems or scaled up to the macro range (mm stroke and N force). To overcome these limitations, cooperative electrostatic actuator systems have been researched by many groups in recent years. After defining the scope and three different levels of cooperation, this review provides an overview of examples of weak, medium and advanced cooperative architectures. As a specific class, hybrid cooperative architectures are presented, in which besides electrostatic actuation, another actuation principle is used. Inchworm motors—belonging to the advanced cooperative architectures—can provide, in principle, the link from the micro to the macro range. As a result of this outstanding potential, they are reviewed and analyzed here in more detail. However, despite promising research concepts and results, commercial applications are still missing. The acceptance of piezoelectric materials in some industrial CMOS facilities might now open the gate towards hybrid cooperative microactuators realized in high volumes in CMOS technology.

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Jaiswal, Sushma, Harikumar Pallthadka, Rajesh P. Chinchewadi, and Tarun Jaiswal. "Optimized Image Captioning: Hybrid Transformers Vision Transformers and Convolutional Neural Networks: Enhanced with Beam Search." International Journal of Intelligent Systems and Applications 16, no. 2 (April 8, 2024): 53–61. http://dx.doi.org/10.5815/ijisa.2024.02.05.

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Deep learning has improved image captioning. Transformer, a neural network architecture built for natural language processing, excels at image captioning and other computer vision applications. This paper reviews Transformer-based image captioning methods in detail. Convolutional neural networks (CNNs) extracted image features and RNNs or LSTM networks generated captions in traditional image captioning. This method often has information bottlenecks and trouble capturing long-range dependencies. Transformer architecture revolutionized natural language processing with its attention strategy and parallel processing. Researchers used Transformers' language success to solve image captioning problems. Transformer-based image captioning systems outperform previous methods in accuracy and efficiency by integrating visual and textual information into a single model. This paper discusses how the Transformer architecture's self-attention mechanisms and positional encodings are adapted for image captioning. Vision Transformers (ViTs) and CNN-Transformer hybrid models are discussed. We also discuss pre-training, fine-tuning, and reinforcement learning to improve caption quality. Transformer-based image captioning difficulties, trends, and future approaches are also examined. Multimodal fusion, visual-text alignment, and caption interpretability are challenges. We expect research to address these issues and apply Transformer-based image captioning to medical imaging and distant sensing. This paper covers how Transformer-based approaches have changed image captioning and their potential to revolutionize multimodal interpretation and generation, advancing artificial intelligence and human-computer interactions.

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Kammar, Prashanth, Parashuram Baraki, Sunil Kumar Ganganayaka, Manjunath Swamy Byranahalli Eraiah, and Kolakaluri Lakshman Arun Kumar. "Sanskrit to Hindi language translation using multimodal neural machine translation." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 2 (May 1, 2024): 1235. http://dx.doi.org/10.11591/ijeecs.v34.i2.pp1235-1245.

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Machine translation (MT) is a subfield of computer features that focuses on the automatic translation from one natural language into another without any human involvement. Due to native people interacting in a variety of languages, there is a great need for translating information between languages to send and communicate thoughts. However, they disregard the significance of semantic data encoded in the text features. In this paper, multimodal neural machine translation (MNMT) is proposed for Sanskrit-Hindi translation. The main goal of the proposed method is to fully utilize semantic text features on NMT architecture and to minimize testing and training time. The MNMT is validated on two different NMT architectures: recurrent neural network (RNN) and self-attention network (SAN). The MNMT method’s efficacy is demonstrated by employing the dataset of Sanskrit-Hindi Corpora. Extensive experimental outcomes represent the proposed method’s enhancement over baselines on both architectures. The existing methods, namely, English-to-Indian MT system, Sanskrit-Hindi MT system, and hybrid MT system are used to justify the efficacy of the MNMT method. When compared to the above-mentioned existing methods, RA-RNN respectively achieves a superior BLEU and METEOR of 80.5% and 75.3%, while the RA-SAN respectively achieves a superior BLEU and METEOR of 78.2% and 77.1%.

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Aygalinc, P., and S. Calvez. "Cible p-Soc pour l’apprentissage de Linux en DUT GEII." J3eA 18 (2019): 1008. http://dx.doi.org/10.1051/j3ea/20191008.

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Les systèmes embarqués modernes utilisent souvent comme système d’exploitation Linux. Pour le DUT GEii, les architectures p-Soc (programmable-Systemonchip) trouvent grandement leur intérêt car elles permettent, en plus de l’apprentissage de ce système sur ses deux niveaux (user/kernel), d’entretenir et d’enrichir les connaissances acquises sur la description matérielle et l’informatique industrielle bas niveau. L’expérience menée ici décrit la plateforme développée dans ce cadre afin d’aborder d’une part les objectifs d’un système d’exploitation et de ses propriétés pour le développement d’applications de contrôle/commande en mode user, et d’autre part la conception de pilotes de périphériques du mode kernel sur des composants custom décrit en VHDL. Cet article traite aussi des prérequis nécessaires ainsi que des moyens indispensables à mettre en oeuvre par l’enseignant pour la mise en place de cet enseignement (prototypage rapide aussi bien au niveau matériel que logiciel).

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Gómez-Bravo, Fernando, Alejandro Garrocho-Cruz, Olga Marín-Cañas, Inmaculada Pulido-Calvo, Juan Carlos Gutierrez-Estrada, and Antonio Peregrín-Rubio. "A Control Architecture for Developing Reactive Hybrid Remotely Operated Underwater Vehicles." Machines 12, no. 1 (December 19, 2023): 1. http://dx.doi.org/10.3390/machines12010001.

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This article introduces a control architecture designed for the development of Hybrid Remotely Operated Underwater Vehicles. The term ”Hybrid” characterizes Remotely Operated systems capable of autonomously executing specific operations. The presented architecture maintains teleoperation capabilities while enabling two fully autonomous applications. The approach emphasizes the implementation of reactive navigation by exclusively utilizing data from a Mechanical Scanned Imaging Sonar for control decisions. This mandates the control system to solely react to data derived from the vehicle’s environment, without considering other positioning information or state estimation. The study involves transforming a small-scale commercial Remotely Operated Underwater Vehicle into a hybrid system without structural modifications, and details the development of an intermediate Operational Control Layer responsible for sensor data processing and task execution control. Two practical applications, inspired by tasks common in natural or open-water aquaculture farms, are explored: one for conducting transects, facilitating monitoring and maintenance operations, and another for navigating toward an object for inspection purposes. Experimental results validate the feasibility and effectiveness of the authors’ hypotheses. This approach expands the potential applications of underwater vehicles and facilitates the development of Hybrid Remotely Operated Underwater Vehicles, enabling the execution of autonomous reactive tasks.

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Wu, Haowen, Hanyue Xu, Kah Phooi Seng, Jieli Chen, and Li Minn Ang. "Energy Efficient Graph-Based Hybrid Learning for Speech Emotion Recognition on Humanoid Robot." Electronics 13, no. 6 (March 21, 2024): 1151. http://dx.doi.org/10.3390/electronics13061151.

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This paper presents a novel deep graph-based learning technique for speech emotion recognition which has been specifically tailored for energy efficient deployment within humanoid robots. Our methodology represents a fusion of scalable graph representations, rooted in the foundational principles of graph signal processing theories. By delving into the utilization of cycle or line graphs as fundamental constituents shaping a robust Graph Convolution Network (GCN)-based architecture, we propose an approach which allows the capture of relationships between speech signals to decode intricate emotional patterns and responses. Our methodology is validated and benchmarked against established databases such as IEMOCAP and MSP-IMPROV. Our model outperforms standard GCNs and prevalent deep graph architectures, demonstrating performance levels that align with state-of-the-art methodologies. Notably, our model achieves this feat while significantly reducing the number of learnable parameters, thereby increasing computational efficiency and bolstering its suitability for resource-constrained environments. This proposed energy-efficient graph-based hybrid learning methodology is applied towards multimodal emotion recognition within humanoid robots. Its capacity to deliver competitive performance while streamlining computational complexity and energy efficiency represents a novel approach in evolving emotion recognition systems, catering to diverse real-world applications where precision in emotion recognition within humanoid robots stands as a pivotal requisite.

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Lee, Chung-Ching, and Jacques M. Hervé. "Uncoupled actuation of overconstrained 3T-1R hybrid parallel manipulators." Robotica 27, no. 1 (January 2009): 103–17. http://dx.doi.org/10.1017/s0263574708004554.

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SUMMARYBased on the Lie-group-algebraic properties of the displacement set and intrinsic coordinate-free geometry, several novel 4-dof overconstrained hybrid parallel manipulators (HPMs) with uncoupled actuation of three spatial translations and one rotation (3T-1R) are proposed. In these HPMs, three limbs are those of Cartesian translational parallel mechanisms (CTPMs) and the fourth limb includes an Oldham-type constant velocity shaft coupling (CVSC). The Lie subgroup of Schoenflies (X) displacements of the displacement Lie group and its mechanical generators with nine categories of their general architectures are recalled. A comprehensive enumeration of all possible Oldham-type CVSC limbs is derived fromX-motion generators. Their constant velocity (CV) transmissions are verified by group-algebraic approach. Then, combining one CTPM and one CVSC, we synthesize a lot of uncoupled 3T-1R overconstrained HPMs, which are classified into nine distinct classes of general architectures. In addition, all possible architectures with at least one hinged parallelogram or with one cylindrical pair are disclosed too. At last, related non-overconstrained HPMs are attained by the addition of one idle pair in each limb of the previous HPMs.

Journal articles on the topic 'Architectures de contrôle hybride'

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