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Articles de revues sur le sujet « Bioinspired Computation »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Cui, Zhihua, Rajan Alex, Rajendra Akerkar, and Xin-She Yang. "Recent Advances on Bioinspired Computation." Scientific World Journal 2014 (2014): 1–3. http://dx.doi.org/10.1155/2014/934890.

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Gunji, Yukio-Pegio, and Daisuke Uragami. "Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating." Entropy 22, no. 9 (2020): 1049. http://dx.doi.org/10.3390/e22091049.

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Although natural and bioinspired computing has developed significantly, the relationship between the computational universality and efficiency beyond the Turing machine has not been studied in detail. Here, we investigate how asynchronous updating can contribute to the universal and efficient computation in cellular automata (CA). First, we define the computational universality and efficiency in CA and show that there is a trade-off relation between the universality and efficiency in CA implemented in synchronous updating. Second, we introduce asynchronous updating in CA and show that asynchro

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Hanif, Muhammad Kashif, Ramzan Talib, Muhammad Awais, Muhammad Yahya Saeed, and Umer Sarwar. "Comparison of Bioinspired Computation and Optimization Techniques." Current Science 115, no. 3 (2018): 450. http://dx.doi.org/10.18520/cs/v115/i3/450-453.

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Botella, Guillermo, Antonio Garcia, Manuel Rodriguez-Alvarez, Eduardo Ros, Uwe Meyer-Baese, and María C. Molina. "Robust Bioinspired Architecture for Optical-Flow Computation." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18, no. 4 (2010): 616–29. http://dx.doi.org/10.1109/tvlsi.2009.2013957.

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Chen, Tinggui, Jianjun Yang, Kai Huang, and Qiang Cheng. "Bioinspired Computation and Its Applications in Operation Management." Scientific World Journal 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/356571.

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Demidova, L. A., and A. V. Gorchakov. "Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines." Russian Technological Journal 10, no. 2 (2022): 59–74. http://dx.doi.org/10.32362/2500-316x-2022-10-2-59-74.

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Objectives. Recent research in machine learning and artificial intelligence aimed at improving prediction accuracy and reducing computational complexity resulted in a novel neural network architecture referred to as an extreme learning machine (ELM). An ELM comprises a single-hidden-layer feedforward neural network in which the weights of connections among input-layer neurons and hidden-layer neurons are initialized randomly, while the weights of connections among hidden-layer neurons and output-layer neurons are computed using a generalized Moore– Penrose pseudoinverse operation. The replacem

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Wang, Zhaocai, Xiaoguang Bao, and Tunhua Wu. "A Parallel Bioinspired Algorithm for Chinese Postman Problem Based on Molecular Computing." Computational Intelligence and Neuroscience 2021 (January 15, 2021): 1–13. http://dx.doi.org/10.1155/2021/8814947.

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The Chinese postman problem is a classic resource allocation and scheduling problem, which has been widely used in practice. As a classical nondeterministic polynomial problem, finding its efficient algorithm has always been the research direction of scholars. In this paper, a new bioinspired algorithm is proposed to solve the Chinese postman problem based on molecular computation, which has the advantages of high computational efficiency, large storage capacity, and strong parallel computing ability. In the calculation, DNA chain is used to properly represent the vertex, edge, and correspondi

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Wu, Zhihua, and Aike Guo. "Bioinspired figure-ground discrimination via visual motion smoothing." PLOS Computational Biology 19, no. 4 (2023): e1011077. http://dx.doi.org/10.1371/journal.pcbi.1011077.

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Flies detect and track moving targets among visual clutter, and this process mainly relies on visual motion. Visual motion is analyzed or computed with the pathway from the retina to T4/T5 cells. The computation of local directional motion was formulated as an elementary movement detector (EMD) model more than half a century ago. Solving target detection or figure-ground discrimination problems can be equivalent to extracting boundaries between a target and the background based on the motion discontinuities in the output of a retinotopic array of EMDs. Individual EMDs cannot measure true veloc

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Chen, Lei, Liyi Zhang, Yanju Guo, Yong Huang, and Jingyi Liang. "Blind Source Separation Based on Covariance Ratio and Artificial Bee Colony Algorithm." Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/484327.

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The computation amount in blind source separation based on bioinspired intelligence optimization is high. In order to solve this problem, we propose an effective blind source separation algorithm based on the artificial bee colony algorithm. In the proposed algorithm, the covariance ratio of the signals is utilized as the objective function and the artificial bee colony algorithm is used to solve it. The source signal component which is separated out, is then wiped off from mixtures using the deflation method. All the source signals can be recovered successfully by repeating the separation pro

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Marin Machado de Souza, Rafael, Andrew Holm, Márcio Biczyk, and Leandro Nunes de Castro. "A Systematic Literature Review on the Use of Federated Learning and Bioinspired Computing." Electronics 13, no. 16 (2024): 3157. http://dx.doi.org/10.3390/electronics13163157.

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Federated learning (FL) and bioinspired computing (BIC), two distinct, yet complementary fields, have gained significant attention in the machine learning community due to their unique characteristics. FL enables decentralized machine learning by allowing models to be trained on data residing across multiple devices or servers without exchanging raw data, thus enhancing privacy and reducing communication overhead. Conversely, BIC draws inspiration from nature to develop robust and adaptive computational solutions for complex problems. This paper explores the state of the art in the integration

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Herrmann, Sven. "Review of bioinspired computation in combinatorial optimization by Frank Neumann and Carsten Witt." ACM SIGACT News 44, no. 2 (2013): 22–26. http://dx.doi.org/10.1145/2491533.2491540.

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Ayton, Lorna J. "Bioinspired aerofoil adaptations: the next steps for theoretical models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2159 (2019): 20190070. http://dx.doi.org/10.1098/rsta.2019.0070.

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The extended introduction in this paper reviews the theoretical modelling of leading- and trailing-edge noise, various bioinspired aerofoil adaptations to both the leading and trailing edges of blades, and how these adaptations aid in the reduction of aerofoil–turbulence interaction noise. Attention is given to the agreement between current theoretical predictions and experimental measurements, in particular, for turbulent interactions at the trailing edge of an aerofoil. Where there is a poor agreement between theoretical models and experimental data the features neglected from the theoretica

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Lima, Wirlan Gomes, Jasmine Priscyla Leite Leite de Araújo, Fabrício José Brito Barros, et al. "Optimization and synthesis of multilayer frequency selective surfaces via bioinspired hybrid techniques." International Journal for Innovation Education and Research 8, no. 5 (2020): 542–61. http://dx.doi.org/10.31686/ijier.vol8.iss5.2371.

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In this study, two bioinspired computation (BIC) techniques are discussed and applied to the project and synthesis of multilayer frequency selective surfaces (FSS) within the microwave band, specifically for C, X and Ku bands. The proposed BIC techniques consist of combining an artificial, general regression neural network to a genetic algorithm (GA) and a cuckoo search algorithm, respectively. The objective is to find the optimal values of separation between the investigated FSS. Numerical analysis of the electromagnetic properties of the device is made possible with the finite integration me

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Sánchez, José L., María T. López, José Manuel Pastor, Ana E. Delgado, and Antonio Fernández-Caballero. "Accelerating bioinspired lateral interaction in accumulative computation for real-time moving object detection with graphics processing units." Natural Computing 18, no. 2 (2018): 217–27. http://dx.doi.org/10.1007/s11047-018-9690-1.

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Song, Fangzheng, and Peng Li. "YOLOv5-MS: Real-Time Multi-Surveillance Pedestrian Target Detection Model for Smart Cities." Biomimetics 8, no. 6 (2023): 480. http://dx.doi.org/10.3390/biomimetics8060480.

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Intelligent video surveillance plays a pivotal role in enhancing the infrastructure of smart urban environments. The seamless integration of multi-angled cameras, functioning as perceptive sensors, significantly enhances pedestrian detection and augments security measures in smart cities. Nevertheless, current pedestrian-focused target detection encounters challenges such as slow detection speeds and increased costs. To address these challenges, we introduce the YOLOv5-MS model, an YOLOv5-based solution for target detection. Initially, we optimize the multi-threaded acquisition of video stream

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Perera, Ayomi S., and Marc-Olivier Coppens. "Re-designing materials for biomedical applications: from biomimicry to nature-inspired chemical engineering." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 377, no. 2138 (2018): 20180268. http://dx.doi.org/10.1098/rsta.2018.0268.

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Gathering inspiration from nature for the design of new materials, products and processes is a topic gaining rapid interest among scientists and engineers. In this review, we introduce the concept of nature-inspired chemical engineering (NICE). We critically examine how this approach offers advantages over straightforward biomimicry and distinguishes itself from bio-integrated design, as a systematic methodology to present innovative solutions to challenging problems. The scope of application of the nature-inspired approach is demonstrated via examples from the field of biomedicine, where much

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Bird, Jordan J., Diego R. Faria, Luis J. Manso, Anikó Ekárt, and Christopher D. Buckingham. "A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction." Complexity 2019 (March 13, 2019): 1–14. http://dx.doi.org/10.1155/2019/4316548.

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This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm is applied to select the most informative features from an initial set of 2550 EEG statistical features. Optimisation of a Multilayer Perceptron (MLP) is performed with an evolutionary approach before classification to estimate the best hyperparameters of the network. Deep learning and tuning with Long Short-Term Memory (LSTM) are also explored, a

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Shova, Sergiu, Angelica Vlad, Maria Cazacu, et al. "Dinuclear manganese(iii) complexes with bioinspired coordination and variable linkers showing weak exchange effects: a synthetic, structural, spectroscopic and computation study." Dalton Transactions 48, no. 18 (2019): 5909–22. http://dx.doi.org/10.1039/c8dt04596h.

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Ravankar, Abhijeet, Ankit Ravankar, Yukinori Kobayashi, and Yohei Hoshino. "A Bio-Inspired Algorithm for Autonomous Task Coordination of Multiple Mobile Robots." Proceedings 4, no. 1 (2018): 1. http://dx.doi.org/10.3390/ecsa-5-05760.

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Efficient task co-ordination is an important problem in multirobot systems. The explicit programming of each robot to perform specific tasks (e.g., cleaning) is too cumbersome and inefficient, as the areas to serve in a map may vary with time. Moreover, the number of available robots to serve may also vary, as some of the robots may be charging and not available. Improper task division can cause two or more robots to serve the same areas of the map, which is a waste of computation and resources. Hence, there is a need for a simpler scheme for the autonomous task co-ordination of multiple robot

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Falanga, Davide, Kevin Kleber, and Davide Scaramuzza. "Dynamic obstacle avoidance for quadrotors with event cameras." Science Robotics 5, no. 40 (2020): eaaz9712. http://dx.doi.org/10.1126/scirobotics.aaz9712.

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Today’s autonomous drones have reaction times of tens of milliseconds, which is not enough for navigating fast in complex dynamic environments. To safely avoid fast moving objects, drones need low-latency sensors and algorithms. We departed from state-of-the-art approaches by using event cameras, which are bioinspired sensors with reaction times of microseconds. Our approach exploits the temporal information contained in the event stream to distinguish between static and dynamic objects and leverages a fast strategy to generate the motor commands necessary to avoid the approaching obstacles. S

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Santos, Sender Rocha dos, and Eric Rohmer. "Soft Sensory-Motor System Based on Ionic Solution for Robotic Applications." Sensors 24, no. 9 (2024): 2900. http://dx.doi.org/10.3390/s24092900.

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Soft robots claim the architecture of actuators, sensors, and computation demands with their soft bodies by obtaining fast responses and adapting to the environment. Sensory-motor coordination is one of the main design principles utilized for soft robots because it allows the capability to sense and actuate mutually in the environment, thereby achieving rapid response performance. This work intends to study the response for a system that presents coupled actuation and sensing functions simultaneously and is integrated in an arbitrary elastic structure with ionic conduction elements, called as

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Kaur, Amandeep, Saurabh Kumar, Deepali Gupta, et al. "Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm." Sensors 23, no. 13 (2023): 6117. http://dx.doi.org/10.3390/s23136117.

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Cloud computing plays an important role in every IT sector. Many tech giants such as Google, Microsoft, and Facebook as deploying their data centres around the world to provide computation and storage services. The customers either submit their job directly or they take the help of the brokers for the submission of the jobs to the cloud centres. The preliminary aim is to reduce the overall power consumption which was ignored in the early days of cloud development. This was due to the performance expectations from cloud servers as they were supposed to provide all the services through their ser

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Prieto, Alberto, Joan Cabestany, and Francisco Sandoval. "Computational intelligence and bioinspired systems." Neurocomputing 70, no. 16-18 (2007): 2701–3. http://dx.doi.org/10.1016/j.neucom.2006.06.009.

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Owoseni, T. A., S. G. Olukole, A. I. Gadu, I. A. Malik, and W. O. Soboyejo. "Bioinspired Design." Advanced Materials Research 1132 (December 2015): 252–66. http://dx.doi.org/10.4028/www.scientific.net/amr.1132.252.

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Bioinspired design involves the use of concepts observed in natural biological materials in engineering design. The hope is that the leveraging of biological materials in the engineering domain can lead to many technological innovations and novel products. This work presents the initial material characterization of kinixys erosa tortoise shell using a combination of x-ray diffraction, optical/scanning electron microscopy and micro-mechanical testing. The results were used in the analytical/computational modelling of shell structures. The potential implications or the results were then discusse

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Zammit, Karl, Howard Smith, Noel Sierra Lobo, and Ioannis K. Giannopoulos. "Bioinspired Genetic-Algorithm Optimized Ground-Effect Wing Design: Flight Performance Benefits and Aircraft Stability Effects." WSEAS TRANSACTIONS ON FLUID MECHANICS 19 (May 2, 2024): 189–99. http://dx.doi.org/10.37394/232013.2024.19.19.

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This paper presents a bioinspired, genetic-algorithm evolutionary process for Ground-Effect vehicle wing design. The study made use of a rapid aerodynamic model generation and results evaluation computational fluid dynamics vortex lattice method software, supervised by a genetic algorithm optimization Python script. The design space for the aircraft wing parametric features drew inspiration from seabirds, under the assumption of their wings being naturally evolved and partially optimized for proximity flight over water surfaces. A case study was based on the A-90 Orlyonok Russian Ekranoplan, w

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Geder, Jason D., Ravi Ramamurti, Dan Edwards, Trent Young, and Marius Pruessner. "Development of an Unmanned Hybrid Vehicle Using Artificial Pectoral Fins." Marine Technology Society Journal 51, no. 5 (2017): 56–70. http://dx.doi.org/10.4031/mtsj.51.5.4.

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AbstractAn unmanned vehicle has been developed for dual use as both an aircraft and a submersible. To achieve long-range emplacement of a highly maneuverable underwater asset to a target environment, the Flimmer (Flying-Swimmer) vehicle is designed for both high-speed flight and low-speed swimming. Building on previous research in bioinspired propulsion and control systems, the vehicle employs a unique set of artificial flapping fins for underwater maneuvering, which must be considered when evaluating the flight and water landing capabilities. This paper describes the computational analysis an

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Srivatsa, Shreyas, Paweł Paćko, Leon Mishnaevsky, Tadeusz Uhl, and Krzysztof Grabowski. "Deformation of Bioinspired MXene-Based Polymer Composites with Brick and Mortar Structures: A Computational Analysis." Materials 13, no. 22 (2020): 5189. http://dx.doi.org/10.3390/ma13225189.

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In this work, the deformation behavior of MXene-based polymer composites with bioinspired brick and mortar structures is analyzed. MXene/Polymer nanocomposites are modeled at microscale for bioinspired configurations of nacre-mimetic brick-and-mortar assembly structure. MXenes (brick) with polymer matrix (mortar) are modeled using classical analytical methods and numerical methods based on finite elements (FE). The analytical methods provide less accurate estimation of elastic properties compared to the numerical one. MXene nanocomposite models analyzed with the FE method provide estimates of

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Agbehadji, Israel Edem, Richard C. Millham, Simon James Fong, and Hongji Yang. "Bioinspired Computational Approach to Missing Value Estimation." Mathematical Problems in Engineering 2018 (2018): 1–16. http://dx.doi.org/10.1155/2018/9457821.

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Missing data occurs when values of variables in a dataset are not stored. Estimating these missing values is a significant step during the data cleansing phase of a big data management approach. The reason of missing data may be due to nonresponse or omitted entries. If these missing data are not handled properly, this may create inaccurate results during data analysis. Although a traditional method such as maximum likelihood method extrapolates missing values, this paper proposes a bioinspired method based on the behavior of birds, specifically the Kestrel bird. This paper describes the behav

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Rojas-López, Alam Gabriel, Miguel Gabriel Villarreal-Cervantes, Alejandro Rodríguez-Molina, and Jesús Aldo Paredes-Ballesteros. "Efficient Online Controller Tuning for Omnidirectional Mobile Robots Using a Multivariate-Multitarget Polynomial Prediction Model and Evolutionary Optimization." Biomimetics 10, no. 2 (2025): 114. https://doi.org/10.3390/biomimetics10020114.

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The growing reliance on mobile robots has resulted in applications where users have limited or no control over operating conditions. These applications require advanced controllers to ensure the system’s performance by dynamically changing its parameters. Nowadays, online bioinspired controller tuning approaches are among the most successful and innovative tools for dealing with uncertainties and disturbances. Nevertheless, these bioinspired approaches present a main limitation in real-world applications due to the extensive computational resources required in their exhaustive search when eval

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Maghsoudi-Ganjeh, Mohammad, Liqiang Lin, Xingzi Yang, and Xiaowei Zeng. "Computational modeling and simulation of bioinspired nacre-like composites." Journal of Materials Research 36, no. 13 (2021): 2651–61. http://dx.doi.org/10.1557/s43578-021-00124-6.

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Sahin, Ekin Sila, Tiffany Cheng, Dylan Wood, et al. "Cross-Sectional 4D-Printing: Upscaling Self-Shaping Structures with Differentiated Material Properties Inspired by the Large-Flowered Butterwort (Pinguicula grandiflora)." Biomimetics 8, no. 2 (2023): 233. http://dx.doi.org/10.3390/biomimetics8020233.

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Extrusion-based 4D-printing, which is an emerging field within additive manufacturing, has enabled the technical transfer of bioinspired self-shaping mechanisms by emulating the functional morphology of motile plant structures (e.g., leaves, petals, capsules). However, restricted by the layer-by-layer extrusion process, much of the resulting works are simplified abstractions of the pinecone scale’s bilayer structure. This paper presents a new method of 4D-printing by rotating the printed axis of the bilayers, which enables the design and fabrication of self-shaping monomaterial systems in cros

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Ling, Jacky, and Felicia Wong Yen Myan. "Assessing Bioinspired Topographies for their Antifouling Potential Control Using Computational Fluid Dynamics (CFD)." MATEC Web of Conferences 152 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201815202004.

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Biofouling is the accumulation of unwanted material on surfaces submerged or semi submerged over an extended period. This study investigates the antifouling performance of a new bioinspired topography design. A shark riblets inspired topography was designed with Solidworks and CFD simulations were antifouling performance. The study focuses on the fluid flow velocity, the wall shear stress and the appearance of vortices are to be noted to determine the possible locations biofouling would most probably occur. The inlet mass flow rate is 0.01 kgs-1 and a no-slip boundary condition was applied to

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Villuendas-Rey, Yenny, José L. Velázquez-Rodríguez, Mariana Dayanara Alanis-Tamez, Marco-Antonio Moreno-Ibarra, and Cornelio Yáñez-Márquez. "Mexican Axolotl Optimization: A Novel Bioinspired Heuristic." Mathematics 9, no. 7 (2021): 781. http://dx.doi.org/10.3390/math9070781.

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When facing certain problems in science, engineering or technology, it is not enough to find a solution, but it is essential to seek and find the best possible solution through optimization. In many cases the exact optimization procedures are not applicable due to the great computational complexity of the problems. As an alternative to exact optimization, there are approximate optimization algorithms, whose purpose is to reduce computational complexity by pruning some areas of the problem search space. To achieve this, researchers have been inspired by nature, because animals and plants tend t

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Del Ser, Javier, Eneko Osaba, Javier Sanchez-Medina, Iztok Fister, and Iztok Fister. "Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead." IEEE Transactions on Intelligent Transportation Systems 21, no. 2 (2020): 466–95. http://dx.doi.org/10.1109/tits.2019.2897377.

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Buso, Carla, Plínio Zanini, and Silvia Titotto. "Bioinspired design proposal for a new external bone fixator device." Biomedical Physics & Engineering Express 8, no. 3 (2022): 035008. http://dx.doi.org/10.1088/2057-1976/ac5092.

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Abstract The article presents a new medical device through an authorial and interdisciplinary approach. It consists of a flexible external fixator, whose flexible property may bring advantages over rigid mechanisms. Its design was inspired by the DNA biological mechanism of condensation, while the modeling was based on the pseudo-rigid modeling technique. From the models obtained, this study conducted prototyping and computational tests to obtain a proof-of-concept of the bioinspired theory and dynamic functioning effectiveness. The prototyping relied on hot glue manufacturing and the computat

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de Souza Muñoz, Mauro Enrique, Matheus Chaves Menezes, Edison Pignaton de Freitas, et al. "xRatSLAM: An Extensible RatSLAM Computational Framework." Sensors 22, no. 21 (2022): 8305. http://dx.doi.org/10.3390/s22218305.

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Simultaneous localization and mapping (SLAM) refers to techniques for autonomously constructing a map of an unknown environment while, at the same time, locating the robot in this map. RatSLAM, a prevalent method, is based on the navigation system found in rodent brains. It has served as a base algorithm for other bioinspired approaches, and its implementation has been extended to incorporate new features. This work proposes xRatSLAM: an extensible, parallel, open-source framework applicable for developing and testing new RatSLAM variations. Tests were carried out to evaluate and validate the

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Jin, Bingyu, Hao Xu, Jicheng Peng, Kelin Lu, and Yuping Lu. "Derivative-Free Observability Analysis for Sensor Placement Optimization of Bioinspired Flexible Flapping Wing System." Biomimetics 7, no. 4 (2022): 178. http://dx.doi.org/10.3390/biomimetics7040178.

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Observability analysis of a bioinspired flexible flapping wing system provides a measure of how well the states of flexible flapping wing micro-aerial vehicles can be estimated from real-time measurements during high-speed flight. However, the traditional observability analysis approaches have trouble in terms of lack of quantitative analysis index, high computational complexity, low accuracy, and unavailability in stochastic systems with memory, including bioinspired flexible flapping wing systems. Therefore, a novel derivative-free observability analysis method is proposed here based on the

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Kozlov, Alexey V., and Yuri P. Kondratenko. "SEARCH FOR OPTIMAL FUNCTIONS OF FUZZY SYSTEMS BASED ON BIOINSPIRED EVOLUTIONARY ALGORITHMS." Journal of Automation and Information sciences 1 (January 1, 2021): 55–75. http://dx.doi.org/10.34229/0572-2691-2021-1-5.

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Contemporary research in the field of creation and development of intelligent systems based on fuzzy logic is carried out mainly in the direction of developing highly efficient methods for their synthesis and structural-parametric optimization. In recent years, due to the intensive development of information technologies and computer hardware, bioinspired intelligent techniques of global search are quite promising for solving problems of synthesis and optimization of fuzzy systems, which include evolutionary and swarm methods, that simulate the processes of natural selection, as well as collec

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Gaudette, Jason E., Jeffrey M. Knowles, Jonathan R. Barchi, and James A. Simmons. "Computational model of a bioinspired broadband receiver for sonar clutter reduction." Journal of the Acoustical Society of America 129, no. 4 (2011): 2507. http://dx.doi.org/10.1121/1.3588282.

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Kicinger, Rafal, and Tomasz Arciszewski. "Bioinspired Computational Framework for Enhancing Creativity, Optimality, and Robustness in Design." Journal of Computing in Civil Engineering 23, no. 1 (2009): 22–33. http://dx.doi.org/10.1061/(asce)0887-3801(2009)23:1(22).

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Geder, Jason D., John S. Palmisano, Ravi Ramamurti, Marius Pruessner, Banahalli Ratna, and William C. Sandberg. "Bioinspired Design Process for an Underwater Flying and Hovering Vehicle." Marine Technology Society Journal 45, no. 4 (2011): 74–82. http://dx.doi.org/10.4031/mtsj.45.4.5.

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AbstractWe review here the results obtained during the past several years in a series of computational and experimental investigations aimed at understanding the origin of high-force production in the flapping wings of insects and the flapping and deforming fins of fish and the incorporation of that information into bioinspired vehicle designs. We summarize the results obtained on pectoral fin force production, flapping and deforming fin design, and the emulation of fish pectoral fin swimming in unmanned vehicles. In particular, we discuss the main results from the computational investigations

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SOTO, Sergio, Edmondo BONILLA, Alberto PORTILLA, Jose C. HERNANDEZ, Oscar ATRIANO, and Perfecto M. QUINTERO. "FOOD DELIVERY BASED ON PSO ALGORITHM AND GOOGLE MAPS." Applied Computer Science 16, no. 1 (2020): 60–72. http://dx.doi.org/10.35784/acs-2020-05.

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This article presents a solution to deal with the optimization of delivery routes problem for a mobile application focused on the restaurant sector, by using a bioinspired algorithm (PSO) to minimize delivery costs, maximize a greater number of deliveries and recommend an optional route for food delivery. Different computational experiments are carried out by using Google Maps (API) for showing the best delivery route. The results obtained are very promising for offering a good delivery service.

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Nurutdinov, Ayrat Rafkatovich. "Neural Network Architecture of Embodied Intelligence." Russian Digital Libraries Journal 27, no. 4 (2024): 598–655. https://doi.org/10.26907/1562-5419-2024-27-4-598-655.

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In recent years, advances in artificial intelligence (AI) and machine learning have been driven by advances in the development of large language models (LLMs) based on deep neural networks. At the same time, despite its substantial capabilities, LLMs have fundamental limitations such as spontaneous unreliability in facts and judgments; making simple errors that are dissonant with high competence in general; credulity, manifested by a willingness to accept a user's knowingly false claims as true; and lack of knowledge about events that have occurred after training has been completed. Probably t

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González-Albuixech, VF, M. Rodríguez-Millán, T. Ito, JA Loya, and MH Miguélez. "Numerical analysis for design of bioinspired ceramic modular armors for ballistic protections." International Journal of Damage Mechanics 28, no. 6 (2018): 815–37. http://dx.doi.org/10.1177/1056789518795203.

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The exigent requirements for personal protections in terms of energy absorption and ergonomics have led to increasing interest in bioinspired protections. This work focuses on the numerical analysis of ballistic behavior of different bioinspired geometries under impact loadings. Ceramic armors based on ganoid fish scales (the type exhibited by gars, bichirs and reedfishes), placoid fish scales (characterizing sharks and rays) and armadillo natural protection have been considered. Different impact conditions are studied, including perpendicular and oblique impacts to surface protection, differe

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Controzzi, Marco, Marco D'Alonzo, Carlo Peccia, Calogero Maria Oddo, Maria Chiara Carrozza, and Christian Cipriani. "Bioinspired Fingertip for Anthropomorphic Robotic Hands." Applied Bionics and Biomechanics 11, no. 1-2 (2014): 25–38. http://dx.doi.org/10.1155/2014/864573.

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Background: An artificial fingertip with mechanical features and appearance similar to the human fingertip could represent a significant step forward towards the development of the next generation artificial hands. However, so far, a fingertip showing a good trade-off among mechanical features, appearance and anthropomorphism, along with its 3D computational model, is still missing.Objective: To explore and develop an artificial fingertip demonstrating a mechanical response similar to the human fingertip, in order to improve the grasp stability of robotic hands.Methods: Taking inspiration from

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Kozlov, Olexey, and Yuri Kondratenko. "SEARCH OF OPTIMAL MEMBERSHIP FUNCTIONS OF FUZZY SYSTEMS BASED ON BIOINSPIRED EVOLUTIONARY ALGORITHMS. PART II. METHOD IMPLEMENTATION AND STUDY OF ITS EFFICIENCY." Journal of Automation and Information sciences 2 (March 1, 2021): 139–59. http://dx.doi.org/10.34229/1028-0979-2021-2-13.

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This article is devoted to the efficiency of a method of optimal membership functions search for fuzzy systems based on bioinspired evolutionary algorithms of global optimization. The proposed method allows finding the optimal membership functions of linguistic terms at solving the compromise problem of minimizing the objective function and reducing computational costs in the process of further parametric optimization of fuzzy systems. To study the effectiveness of the considered method in this work, the search of the optimal membership functions is conducted for a fuzzy controller of the cont

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Botella, Guillermo, Manuel Rodríguez, Antonio García, and Eduardo Ros. "Neuromorphic Configurable Architecture for Robust Motion Estimation." International Journal of Reconfigurable Computing 2008 (2008): 1–9. http://dx.doi.org/10.1155/2008/428265.

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The robustness of the human visual system recovering motion estimation in almost any visual situation is enviable, performing enormous calculation tasks continuously, robustly, efficiently, and effortlessly. There is obviously a great deal we can learn from our own visual system. Currently, there are several optical flow algorithms, although none of them deals efficiently with noise, illumination changes, second-order motion, occlusions, and so on. The main contribution of this work is the efficient implementation of a biologically inspired motion algorithm that borrows nature templates as ins

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Kaviani, Hamid R., and Mohammad Moshfeghi. "Power Generation Enhancement of Horizontal Axis Wind Turbines Using Bioinspired Airfoils: A CFD Study." Machines 11, no. 11 (2023): 998. http://dx.doi.org/10.3390/machines11110998.

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This research investigates the performance implications of employing a bioinspired airfoil (seagull’s wing cross-section) in horizontal-axis wind turbines. Specifically, we replaced the S809 airfoil from NREL Phase VI with an airfoil modeled after seagull wings. Initially, we calibrated four coefficients of the GEKO turbulence model for both the S809 and the bioinspired airfoil, utilizing experimental data. Subsequently, using the calibrated generalized k-ω (GEKO) model, we conducted a comparative analysis between the S809 and the seagull airfoils, revealing the considerable superiority of the

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de Oliveira, Antônio Roberto Miranda, Amilton José Vieira de Arruda, and Emília Cristina Pereira de Arruda. "Development of bioinspired structure with impact absorption capability: a study of case." e-Revista LOGO 12 (November 1, 2023): 21–40. http://dx.doi.org/10.26771/e-revista.logo/2023.02.

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The development of new materials is crucial for the advancement of engineering, architecture, and design fields. This is because new materials can offer significant benefits compared to traditional materials in terms of their structural, physical, and chemical properties. In architecture and design, new materials can be used to create more durable, sustainable, aesthetically pleasing, lightweight, and resilient products. Through biomimicry, this study conducted an analysis on the structures of four tropical fruits - orange, passion fruit, cocoa, and pomegranate - to generate a new structure wi

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LUO, YUEGUO, HAIJUN TAN, YING ZHANG, and YUN JIANG. "The computational power of timed P systems with active membranes using promoters." Mathematical Structures in Computer Science 29, no. 5 (2018): 663–80. http://dx.doi.org/10.1017/s0960129518000282.

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P systems with active membranes are a class of bioinspired computing models, where the rules are used in the non-deterministic maximally parallel manner. In this paper, first, a new variant of timed P systems with active membranes is proposed, where the application of rules can be regulated by promoters with only two polarizations. Next, we prove that any Turing computable set of numbers can be generated by such a P system in the time-free way. Moreover, we construct a uniform solution to the$\mathcal{SAT}$problem in the framework of such recognizer timed P systems in polynomial time, and the

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