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Articoli di riviste sul tema "Hybrid Control Architectures"

Autore: Grafiati

Pubblicato: 8 giugno 2024

Ultima modifica: 19 luglio 2025

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1

Korolija, Nenad, and Kent Milfeld. "Towards hybrid supercomputing architectures." Journal of Computer and Forensic Sciences 1, no. 1 (2022): 47–54. http://dx.doi.org/10.5937/1-42710.

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In light of recent work on combining control-flow and dataflow architectures on the same chip die, a new architecture based on an asymmetric multicore processor is proposed. The control-flow architectures are described as a most commonly used computer architecture today. Both multicore and manycore architectures are explained, as they are based on the same principles. A dataflow computing model assumes that data input flows through hardware as either a software or hardware dataflow implementation. In software dataflow, processors based on the control-flow paradigm process tasks based on their

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Gan, Shiyu, Daniela Chrenko, Alan Kéromnès, and Luis Le Moyne. "Development of a Multi-Architecture and Multi-Application Hybrid Vehicle Design and Management Tool." Energies 11, no. 11 (2018): 3185. http://dx.doi.org/10.3390/en11113185.

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Hybrid electric vehicles (HEVs) are very promising sustainable mobility solutions. Series, parallel and series-parallel (SP) seem to be three most promising architectures among the multitude of hybrid architectures, and it is possible to find them in a multi-applications such as the motorcycles, family-cars, hybrid city busses and sport cars. It is import to have a well configured model in order to develop the different control strategies (CsTs) for each application. Therefore, a multi-architecture/multi-application (MAMA) approach capable of identifying the most energy efficient hybrid archit

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Korolija, Nenad, and Svetlana Štrbac-Savić. "Merging control-flow and dataflow architectures on a single chip." Journal of Computer and Forensic Sciences, no. 00 (2024): 6. http://dx.doi.org/10.5937/jcfs3-49392.

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Computing power rises predominantly by increasing the number of cores in modern processors and the number of processors in cluster and cloud architectures. Along with increasing processing power, high-performance computing requirements also rise. The majority of the computing infrastructure includes control-flow processors that are based on the von Neumann paradigm. On the contrary, the principle of dataflow architectures is based on the data flowing through the already configured hardware. Recent research has proposed hybrid architectures, where both control-flow and dataflow hardware would e

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Bensaci, Chaima, Youcef Zennir, Denis Pomorski, Fares Innal, and Yiliu Liu. "Distributed vs. Hybrid Control Architecture Using STPA and AHP - Application to an Autonomous Mobile Multi-robot System." International Journal of Safety and Security Engineering 11, no. 1 (2021): 1–12. http://dx.doi.org/10.18280/ijsse.110101.

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Systems composed of a fleet of autonomous mobile robots are among the most complex control systems. This control complexity is at a high level especially when those robots navigate in hazardous and dynamic environments such as chemical analysis laboratories. These systems include different dangerous and harmful products (toxic, flammable, explosive...) with different quantity. In order to perform its mission on a regular basis, this multi-robot system can be controlled according to multiple architectures. We propose, firstly, to apply the System Theoretic Process Analysis (STPA) on two selecte

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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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Overmars, Anthony H., and Dario J. Toncich. "Hybrid FMS control architectures based on holonic principles." International Journal of Flexible Manufacturing Systems 8, no. 3 (1996): 263–78. http://dx.doi.org/10.1007/bf00403128.

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

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Walker, Emily R. "Hybrid Cloud Architectures for Scalable and Secure Data Storage." International Journal of Innovative Computer Science and IT Research 1, no. 02 (2025): 1–12. https://doi.org/10.63665/ijicsitr.v1i02.02.

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As far as the requirements of scalable and secure data storage solutions in the past few years are concerned, their requirements have always remained a top concern for businesses with an increasing amount of data to deal with. Hybrid cloud architectures, providing private and public cloud infrastructure, possess a promising solution towards scalability, flexibility, and increased security. This paper is an examination of the building blocks of hybrid cloud systems with regard to their ability to support scalable data storage as well as deal with the issue of security. We examine the different

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9

Zkik, Karim, Said EL Hajji, and Ghizlane Orhanou. "A centralized secure plan for detecting and mitigation incidents in hybrid SDN." MATEC Web of Conferences 189 (2018): 10015. http://dx.doi.org/10.1051/matecconf/201818910015.

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The information technology sector has experienced phenomenal growth during recent years. To follow this development many new technologies have emerged to satisfy the expectations of businesses and customers, such as Cloud Computing, mobility, virtualization, Internet of things and big data. Traditional network cannot longer support this growth and suffers more and more in terms of misconfiguration,management and configurations complexity. Software defined network (SDN) architectures can be considered as a big revolution in the field of computer networks, because they offer a centralized contro

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Dramé-Maigné, Sophie, Maryline Laurent, Laurent Castillo, and Hervé Ganem. "Centralized, Distributed, and Everything in between." ACM Computing Surveys 54, no. 7 (2022): 1–34. http://dx.doi.org/10.1145/3465170.

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The Internet of Things is taking hold in our everyday life. Regrettably, the security of IoT devices is often being overlooked. Among the vast array of security issues plaguing the emerging IoT, we decide to focus on access control, as privacy, trust, and other security properties cannot be achieved without controlled access. This article classifies IoT access control solutions from the literature according to their architecture (e.g., centralized, hierarchical, federated, distributed) and examines the suitability of each one for access control purposes. Our analysis concludes that important p

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Benevieri, Alessandro, Lorenzo Carbone, Simone Cosso, et al. "Series Architecture on Hybrid Electric Vehicles: A Review." Energies 14, no. 22 (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 hybr

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Hannay, Jo Erskine. "Architectural work for modeling and simulation combining the NATO Architecture Framework and C3 Taxonomy." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 14, no. 2 (2016): 139–58. http://dx.doi.org/10.1177/1548512916670785.

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To provide modeling and simulation functionality as services is strategically leveraged in the defense domain and elsewhere. To describe and understand the context, the ecosystem, wherein such services are used and interoperate with other services and capabilities, one needs tools that capture the simulation services themselves as well as the capability landscape they operate in. By using the NATO Consultation, Command, and Control (C3) Taxonomy to structure architecture design in the NATO Architecture Framework (NAF), cohesive descriptions of modeling and simulation capabilities within larger

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Lee, Woosik, Eun Suk Suh, Woo Young Kwak, and Hoon Han. "Comparative Analysis of 5G Mobile Communication Network Architectures." Applied Sciences 10, no. 7 (2020): 2478. http://dx.doi.org/10.3390/app10072478.

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Mobile communication technology is evolving from 4G to 5G. Compared to previous generations, 5G has the capability to implement latency-critical services, such as autonomous driving, real-time AI on handheld devices and remote drone control. Multi-access Edge Computing is one of the key technologies of 5G in guaranteeing ultra-low latency aimed to support latency critical services by distributing centralized computing resources to networks edges closer to users. However, due to its high granularity of computing resources, Multi-access Edge Computing has an architectural vulnerability in that i

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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 (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 accommoda

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Nikhil, Bhagat. "Optimizing Performance, Cost-Efficiency, and Flexibility through Hybrid Multi-Cloud Architectures." Journal of Scientific and Engineering Research 11, no. 4 (2024): 372–79. https://doi.org/10.5281/zenodo.14273093.

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Cloud Computing is the foundation of every modern company that is scalable, adaptable and economical. Hybrid multi-cloud environments, which combine private clouds, public clouds, and multiple cloud providers, represent the next generation for scaling cloud infrastructures. Hybrid cloud architecture lets organizations reap the security and control benefits of a private cloud while also taking advantage of the scalability and cost efficiency of a public cloud. Meanwhile, multi-cloud models avoid vendor lock-in, provide risk mitigation, and enable organizations to choose the best options from mu

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16

DSOUZA, Kevin Joy, and Zahid Ahmed ANSARI. "HISTOPATHOLOGY IMAGE CLASSIFICATION USING HYBRID PARALLEL STRUCTURED DEEP-CNN MODELS." Applied Computer Science 18, no. 1 (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 i

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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 (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 t

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Martynova, Lubov’, Nikolay Kiselev, and Aleksandr Myslivyi. "Method of choice of architecture of a multi-agent control system of an autonomous underwater vehicle." Information and Control Systems, no. 4 (August 24, 2020): 31–41. http://dx.doi.org/10.31799/1684-8853-2020-4-31-41.

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Introduction: The continuous improvement of autonomous underwater vehicles, the complexity of their systems and the use of a hybrid energy supply system have led to the need of developing a control system using multi-agent technology. To date, a large number of styles of multi-agent architectures have been formed, mainly in the field of organizing the manufacture and developing software. It is important to choose the most suitable architecture style for a multi-agent control system of an autonomous underwater vehicle with a hybrid energy supply system, taking into account its features. Purpose

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19

Airlangga, Gregorius, Julius Bata, Oskar Ika Adi Nugroho, and Boby Hartanto Pramudita Lim. "Hybrid CNN-LSTM Model with Custom Activation and Loss Functions for Predicting Fan Actuator States in Smart Greenhouses." AgriEngineering 7, no. 4 (2025): 118. https://doi.org/10.3390/agriengineering7040118.

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Smart greenhouses rely on precise environmental control to optimize crop yields and resource efficiency. In this study, we propose a novel hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) architecture to predict fan actuator states based on environmental data. The hybrid model integrates CNNs for spatial feature extraction and LSTMs for temporal dependency modeling, enhanced by a custom activation function and loss function tailored for the problem’s characteristics. The model was trained and evaluated on a comprehensive dataset containing 37,923 samples with 13 envi

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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 (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 conven

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Kim, Jin-Hwan. "Replication and Consistency Control in Hybrid Architectures for Multiplayer Online Games." Journal of the Institute of Internet Broadcasting and Communication 16, no. 4 (2016): 73–80. http://dx.doi.org/10.7236/jiibc.2016.16.4.73.

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Aznar, E., R. Casasús, B. García-Acosta, et al. "Photochemical and Chemical Two-Channel Control of Functional Nanogated Hybrid Architectures." Advanced Materials 19, no. 17 (2007): 2228–31. http://dx.doi.org/10.1002/adma.200601958.

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Hunt, John, and Roger Miles. "Hybrid case-based reasoning." Knowledge Engineering Review 9, no. 4 (1994): 383–97. http://dx.doi.org/10.1017/s0269888900007116.

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AbstractThis paper reviews a number of hybrid Case-Based Reasoning (CBR) systems. These systems are hybrid because the CBR components cooperate with one or more “co-reasoners” which employ a different type of reasoning strategy (e.g. qualitative simulation, constraint satisfaction, etc.). In this paper, we propose that CBR is in fact an inherently hybrid process. We review a number of systems and identify three classes of architecture which have been used for hybrid systems. We believe that to successfully exploit a co-reasoner within a CBR system it is necessary to analyse where, when, why an

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24

Taylor, Ryan, Cameron Mock, D. Glaister, James Simons, David Duval, and Dave Kristof. "Ball Modular Advanced Cryocooler Control Electronics (MACCE)." IOP Conference Series: Materials Science and Engineering 1301, no. 1 (2024): 012024. http://dx.doi.org/10.1088/1757-899x/1301/1/012024.

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Abstract To support the application of heritage aerospace coolers and modern tactical coolers to future mission architectures, Ball has developed the Modular Advanced Cryocooler Control Electronics (MACCE). This entirely new cryocooler electronics architecture is based on modularity and scalability in performance supporting a wide range of cryocoolers including 4K Hybrid Systems (J-T + Pre-Cooler), Pulse Tube Cryocoolers, and Stirling Cryocoolers. The MACCE design includes the primary CCE box and an Accelerometer Pre-Amp (APA) box that can be remote mounted. The MACCE architecture includes fou

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Baldi, Pierre, and Yves Chauvin. "Hybrid Modeling, HMM/NN Architectures, and Protein Applications." Neural Computation 8, no. 7 (1996): 1541–65. http://dx.doi.org/10.1162/neco.1996.8.7.1541.

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We describe a hybrid modeling approach where the parameters of a model are calculated and modulated by another model, typically a neural network (NN), to avoid both overfitting and underfitting. We develop the approach for the case of Hidden Markov Models (HMMs), by deriving a class of hybrid HMM/NN architectures. These architectures can be trained with unified algorithms that blend HMM dynamic programming with NN backpropagation. In the case of complex data, mixtures of HMMs or modulated HMMs must be used. NNs can then be applied both to the parameters of each single HMM, and to the switching

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Benali, Cherif, and Ramdane Maamri. "A Hybrid Architecture Based on Blockchain to Ensure Security, Privacy, and Trust in IoT." International Journal of Organizational and Collective Intelligence 12, no. 4 (2022): 1–23. http://dx.doi.org/10.4018/ijoci.312222.

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IoT is an enormous network of interconnected devices that gather data and share it over the internet. Today, IoT suffers from malevolent behaviours and actions that aim to damage and compromise privacy and security. Moreover, these issues and the new IoT requirements are not effectively covered by current architectures. Thus, this paper is an extended work of the authors' previous paper, which suggested a new architecture adhering to the IoT needs that have evolved. It suggests a hybrid architecture that integrates our previous one with a Blockchain-based architecture, to combine their signifi

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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 (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

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Avila, Anderson, Helida Santos, Anderson Cruz, et al. "HybriD-GM: A Framework for Quantum Computing Simulation Targeted to Hybrid Parallel Architectures." Entropy 25, no. 3 (2023): 503. http://dx.doi.org/10.3390/e25030503.

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This paper presents the HybriD-GM model conception, from modeling to consolidation. The D-GM environment is also extended, providing efficient parallel executions for quantum computing simulations, targeted to hybrid architectures considering the CPU and GPU integration. By managing projection operators over quantum structures, and exploring coalescing memory access patterns, the HybriD-GM model enables granularity control, optimizing hardware resources in distributed computations organized as tree data structures. In the HybriD-GM evaluation, simulations of Shor’s and Grover’s algorithms achi

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Emily, R. Walker. "Hybrid Cloud Architectures for Scalable and Secure Data Storage." International Journal of Innovative Computer Science and IT Research 01, no. 02 (2025): 12–23. https://doi.org/10.5281/zenodo.15147313.

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As far as the requirements of scalable and secure data storage solutions in the past few years are concerned, their requirements have always remained a top concern for businesses with an increasing amount of data to deal with. Hybrid cloud architectures, providing private and public cloud infrastructure, possess a promising solution towards scalability, flexibility, and increased security. This paper is an examination of the building blocks of hybrid cloud systems with regard to their ability to support scalable data storage as well as deal with the issue of secur

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Naveen Sankhla, Ashish Sharma. "Design And Development Of A Big Data Architecture For Traffic Control Systems: A Comprehensive Review." European Economic Letters (EEL) 15, no. 2 (2025): 4792–800. https://doi.org/10.52783/eel.v15i2.3329.

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The exponential growth of urban populations and vehicular traffic has created unprecedented challenges for traditional traffic management systems. This paper presents a comprehensive review of big data architectures designed for modern traffic control systems, examining their components, implementation strategies, and performance implications. The research analyzes how emerging technologies including Internet of Things (IoT) sensors, machine learning algorithms, and distributed computing platforms are revolutionizing traffic management through real-time data processing and intelligent decision

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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 (2011): 179–96. http://dx.doi.org/10.1007/s10846-010-9535-3.

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Mantriota, Giacomo, Giulio Reina, and Angelo Ugenti. "Performance Evaluation of a Compound Power-Split CVT for Hybrid Powertrains." Applied Sciences 11, no. 18 (2021): 8749. http://dx.doi.org/10.3390/app11188749.

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The Power-Split Continuously Variable Transmission is one of the most promising architectures for Hybrid Electric Vehicles. These systems have been introduced to improve vehicle global efficiency since they can maximize the efficiency in varying operating conditions. During the design stage, the availability of modeling tools would play a key role in achieving optimal design and control of these architectures. In this work, a compound power split device that combines an electric Continuously Variable Transmission with two planetary gear trains is analyzed. A comprehensive model is derived that

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Priyadarshini, Aayushi, Shekhar Yadav, and Sandesh Patel. "Energy Management Schemes for Hybrid Electric Vehicles." International Energy Journal 25, no. 1B (2025): 293. https://doi.org/10.64289/iej.25.01b05.9638289.

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An internal combustion engine (ICE) and one or more electric motors are combined in hybrid electric vehicles (HEVs) to improve fuel economy and lower greenhouse gas emissions. This paper explores the various HEVs, such as series hybrids, parallel hybrids, series-parallel hybrids, and plug-in hybrid electric vehicles (PHEVs). Each types are described in terms of its components and operational modes, highlighting the advantages and challenges associated with each type. Key technological components of HEVs, such as the ICE, permanent magnet synchronous motors (PMSM), battery systems, and power el

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López-Freire, Steve Alexander. "Análisis de eficiencia energética en sistemas de propulsión híbridos para vehículos terrestres." Revista Científica Ciencia y Método 1, no. 4 (2023): 56–68. https://doi.org/10.55813/gaea/rcym/v1/n4/23.

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The growing concern about climate change has prompted the study of more efficient vehicle technologies, with hybrid propulsion systems being a key alternative in the transition towards sustainable mobility. This study develops a systematic literature review focused on the energy efficiency of ground-based hybrid systems, analyzing architectural configurations and energy management strategies. Scientific sources indexed between 2018 and 2023 were consulted, employing rigorous inclusion criteria and comparative qualitative analysis techniques. The results show that combined hybrid systems are mo

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Albukhari, Almothana, and Ulrich Mescheder. "Inchworm Motors and Beyond: A Review on Cooperative Electrostatic Actuator Systems." Actuators 12, no. 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 m

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TZAFESTAS, ELPIDA S., SPYROS N. RAPTIS, and SPYROS G. TZAFESTAS. "MULTI-AGENT ROBOT ARCHITECTURES: THE DECOMPOSITION ISSUE AND A CASE STUDY." International Journal on Artificial Intelligence Tools 07, no. 02 (1998): 163–87. http://dx.doi.org/10.1142/s021821309800010x.

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In this paper, some fundamental issues of modern multi-agent robot architectures are discussed. It is argued that the multi-agent approach provides the necessary flexibility and adaptivity for such architectures, and that the primary issue in designing a multi-agent robot architecture is the selection of the granularity level, i.e., the decision on decomposing the overall desired functionality physically or across tasks. It is explained why at the various system levels different decomposition grains are needed; physical components, tasks or hybrid. This granularity decision is made on the basi

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Vespoli, Silvestro, Andrea Grassi, Guido Guizzi, and Valentina Popolo. "Generalised Performance Estimation in Novel Hybrid MPC Architectures: Modeling the CONWIP Flow-Shop System." Applied Sciences 13, no. 8 (2023): 4808. http://dx.doi.org/10.3390/app13084808.

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The ability to supply increasingly individualized market demand in a short period of time while maintaining costs to a bare minimum might be considered a vital factor for industrialized countries’ competitive revival. Despite significant advances in the field of Industry 4.0, there is still an open gap in the literature regarding advanced methodologies for production planning and control. Among different production and control approaches, hybrid architectures are gaining huge interest in the literature. For such architectures to operate at their best, reliable models for performance prediction

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Gupta, Pragya, and Markus Duchon. "Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids." Designs 2, no. 4 (2018): 41. http://dx.doi.org/10.3390/designs2040041.

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Cyber-Physical Systems (CPS) are the complex systems that control and coordinate physical infrastructures, which may be geographically apart, via the use of Information and Communication Technology (ICT). One such application of CPS is smart microgrids. Microgrids comprise both power consuming and power producing infrastructure and are capable of operating in grid connected and disconnected modes. Due to the presence of heterogeneous smart devices communicating over multiple communication protocols in a distributed environment, a system architecture is required. The objective of this paper is

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Lee, Chung-Ching, and Jacques M. Hervé. "Uncoupled actuation of overconstrained 3T-1R hybrid parallel manipulators." Robotica 27, no. 1 (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 ge

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Researcher. "OPTIMIZING HYBRID CLOUD ARCHITECTURES: A COMPREHENSIVE STUDY OF PERFORMANCE ENGINEERING BEST PRACTICES." International Journal of Engineering and Technology Research (IJETR) 9, no. 2 (2024): 288–99. https://doi.org/10.5281/zenodo.13833938.

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Hybrid cloud architectures have emerged as a pivotal solution for organizations seeking to balance the flexibility of public clouds with the control of on-premises infrastructure. However, these complex environments present unique challenges in maintaining optimal performance across diverse systems. This article examines the critical aspects of performance engineering in hybrid cloud environments, offering a comprehensive analysis of best practices and real-world implementations. We explore key strategies for optimizing workload distribution, minimizing latency, managing resources effecti

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Lee, Jeongwoo, and Kwangseok Oh. "Hybrid Damping Mode MR Damper: Development and Experimental Validation with Semi-Active Control." Machines 13, no. 5 (2025): 435. https://doi.org/10.3390/machines13050435.

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This study introduces a novel magnetorheological (MR) damper for semi-active vehicle suspension systems that enhance ride comfort and handling stability. The proposed damper integrates reverse and normal damping modes, enabling independent control of rebound and compression strokes through an external MR valve. This configuration supports four damping modes—Soft/Soft, Hard/Soft, Soft/Hard, and Hard/Hard—allowing adaptability to varying driving conditions. Magnetic circuit optimization ensures rapid damping force adjustments (≈10 ms), while a semi-active control algorithm incorporating skyhook

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Yezeguelian, Axel, and Askin T. Isikveren. "Methods to improve UAV performance using hybrid-electric architectures." Aircraft Engineering and Aerospace Technology 92, no. 5 (2020): 685–700. http://dx.doi.org/10.1108/aeat-11-2019-0227.

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Purpose When comparing and contrasting different types of fixed-wing military aircraft on the basis of an energetic efficiency figure-of-merit, unmanned aerial vehicles (UAVs) dedicated to tactical medium-altitude long-endurance (MALE) operations appear to have significant potential when hybrid-electric propulsion and power systems (HEPPS) are implemented. Beginning with a baseline Eulair drone, this paper aims to examine the feasibility of retro-fitting with an Autarkic-Parallel-HEPPS architecture to enhance performance of the original single diesel engine. Design/methodology/approach In view

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Yu, Zhi, Kui Yu, Longli Lai, et al. "Novel hybrid hetero-sandwich architectures via stoichiometric control of host–guest self-organization." Chem. Commun., no. 6 (2004): 648–49. http://dx.doi.org/10.1039/b313846a.

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Acı, Çiğdem İnan, and Mehmet Fatih Akay. "A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues." Journal of Supercomputing 71, no. 5 (2015): 1907–31. http://dx.doi.org/10.1007/s11227-015-1384-1.

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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 (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

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Kavi, Krishna, Joseph Arul, and Roberto Giorgi. "Execution and Cache Performance of the Scheduled Dataflow Architecture." JUCS - Journal of Universal Computer Science 6, no. (10) (2000): 948–67. https://doi.org/10.3217/jucs-006-10-0948.

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This paper presents an evaluation of our Scheduled Dataflow (SDF) Processor. Recent focus in the field of new processor architectures is mainly on VLIW (e.g. IA-64), superscalar and superspeculative architectures. This trend allows for better performance at the expense of an increased hardware complexity and a brute-force solution to the memory-wall problem. Our research substantially deviates from this trend by exploring a simpler, yet powerful execution paradigm that is based on dataflow concepts. A program is partitioned into functional execution threads, which are perfectly suited for our

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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 (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 significan

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Taranenko, Nikita, and Iryna Trunova. "Research on machine learning methods for energy consumption optimization in plug-in hybrid electric vehicles." Vehicle and electronics. Innovative technologies, no. 27 (May 28, 2025): 137–51. https://doi.org/10.30977/veit.2025.27.0.10.

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Problem. The growing demand for sustainable and energy-efficient transportation has intensified interest in plug-in hybrid electric vehicles as an effective alternative to conventional internal combustion engine vehicles. However, the efficiency and flexibility of these systems are significantly constrained by traditional energy management strategies, which lack adaptability to real-world dynamic driving conditions, road scenarios, and individual driving styles. The need for real-time, predictive, and intelligent control algorithms has become critical to optimize energy use, reduce fuel consum

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Wijesekara, Patikiri Arachchige Don Shehan Nilmantha, Kalupahana Liyanage Kushan Sudheera, Gammana Guruge Nadeesha Sandamali, and Peter Han Joo Chong. "An Optimization Framework for Data Collection in Software Defined Vehicular Networks." Sensors 23, no. 3 (2023): 1600. http://dx.doi.org/10.3390/s23031600.

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A Software Defined Vehicular Network (SDVN) is a new paradigm that enhances programmability and flexibility in Vehicular Adhoc Networks (VANETs). There exist different architectures for SDVNs based on the degree of control of the control plane. However, in vehicular communication literature, we find that there is no proper mechanism to collect data. Therefore, we propose a novel data collection methodology for the hybrid SDVN architecture by modeling it as an Integer Quadratic Programming (IQP) problem. The IQP model optimally selects broadcasting nodes and agent (unicasting) nodes from a give

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Smolyakov, Ivan, and Lev Stankevich. "Hybrid implementation of neuromorphic system for robot control." Robotics and Technical Cybernetics 9, no. 4 (2022): 289–98. http://dx.doi.org/10.31776/rtcj.9406.

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Abstract The article proposes a new approach to the implementation of a neuromorphic system based on a hybrid model of a neuron, made in a neuro-fuzzy basis. The closest analogue, the Neo-fuzzy neuron model, is described. A neurological cluster model, previously developed with the participation of the authors, was chosen as a prototype for constructing a hybrid model. The basic procedures for processing and teaching this model to map a given function, as well as additional procedures for coding pulse inputs and synthesis of pulse outputs are presented. Using these procedures, a new hybrid mode

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