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Статті в журналах з теми "Sensory synchronization":
Eckhorn, R., H. J. Reitboeck, M. Arndt, and P. Dicke. "Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex." Neural Computation 2, no. 3 (September 1990): 293–307. http://dx.doi.org/10.1162/neco.1990.2.3.293.
Gu, Junyi, Artjom Lind, Tek Raj Chhetri, Mauro Bellone, and Raivo Sell. "End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles." Sensors 23, no. 15 (July 29, 2023): 6783. http://dx.doi.org/10.3390/s23156783.
Hirvonen, Jonni, Simo Monto, Sheng H. Wang, J. Matias Palva, and Satu Palva. "Dynamic large-scale network synchronization from perception to action." Network Neuroscience 2, no. 4 (October 2018): 442–63. http://dx.doi.org/10.1162/netn_a_00039.
Kawasaki, Masahiro, Keiichi Kitajo, and Yoko Yamaguchi. "Sensory-motor synchronization in the brain corresponds to behavioral synchronization between individuals." Neuropsychologia 119 (October 2018): 59–67. http://dx.doi.org/10.1016/j.neuropsychologia.2018.07.026.
Degardin, A., E. Houdayer, J. L. Bourriez, A. Destée, L. Defebvre, P. Derambure, and D. Devos. "Deficient “sensory” beta synchronization in Parkinson’s disease." Clinical Neurophysiology 120, no. 3 (March 2009): 636–42. http://dx.doi.org/10.1016/j.clinph.2009.01.001.
Soroush, Ali, Mohammad Akbar, and Farzam Farahmand. "How to Synchronize and Register an Optical-Inertial Tracking System." Applied Mechanics and Materials 332 (July 2013): 130–36. http://dx.doi.org/10.4028/www.scientific.net/amm.332.130.
Nacharova, M. A., D. V. Nacharov, and V. B. Pavlenko. "Words Listening Related Electroencephalography Spectrum Perturbations in Normally Developing Children and Sensory Alalia Children." Физиология человека 49, no. 3 (May 1, 2023): 5–12. http://dx.doi.org/10.31857/s0131164622600835.
Fernández-Madrigal, Juan-Antonio, Angeles Navarro, Rafael Asenjo, and Ana Cruz-Martín. "Characterization, Statistical Analysis and Method Selection in the Two-Clocks Synchronization Problem for Pairwise Interconnected Sensors." Sensors 20, no. 17 (August 26, 2020): 4808. http://dx.doi.org/10.3390/s20174808.
Veeramuthu, Loganathan, Manikandan Venkatesan, Fang-Cheng Liang, Jean-Sebastien Benas, Chia-Jung Cho, Chin-Wen Chen, Ye Zhou, Rong-Ho Lee, and Chi-Ching Kuo. "Conjugated Copolymers through Electrospinning Synthetic Strategies and Their Versatile Applications in Sensing Environmental Toxicants, pH, Temperature, and Humidity." Polymers 12, no. 3 (March 5, 2020): 587. http://dx.doi.org/10.3390/polym12030587.
Bazhenov, M., N. F. Rulkov, and I. Timofeev. "Effect of Synaptic Connectivity on Long-Range Synchronization of Fast Cortical Oscillations." Journal of Neurophysiology 100, no. 3 (September 2008): 1562–75. http://dx.doi.org/10.1152/jn.90613.2008.
Дисертації з теми "Sensory synchronization":
Cunic, Danny. "Discrimination of motor and sensory processing in human EEG by power and synchronization analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0024/MQ50458.pdf.
Brahimaj, Detjon. "Integrating haptic feedback in smart devices : multimodal interfaces and design guidelines." Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILN002.
The growing interest in integrating haptic feedback into commercial products is a direct result of advancements in haptic technology. Notably, the proliferation of smartphones and tablets has led to the integration of haptic modalities for various interfaces.While extensive research has explored the integration of sensory modalities (visual, auditory, tactile) in passive touch, there is a relative dearth of knowledge regarding bimodality or multimodality in the context of active touch. Emerging technologies, like surface haptics, offer opportunities to investigate various aspects related to sensory integration.This work provides valuable guidelines for developers, drawing from experimental studies in the realm of active touch. Our initial investigation focuses on the temporal relationship between audio and tactile feedback, revealing a critical 200 ms threshold during sliding interactions on a haptic surface. Moreover, we identify an acceptable audio-tactile delay of 109 ms for click gestures with virtual buttons, emphasizing the need to prohibit or minimize haptic delay to less than 40 ms. A comparative study involving sighted and blind individuals unveils a crucial aspect of inclusion: adhering to synchronization boundaries of the sighted population, relative to virtual buttons, allows for the inclusive design of interfaces accommodating both populations.Additionally, we explore the impact of factors such as stereoscopy and surface deformation on the perception of texture roughness, demonstrating that their presence can alter the perceived roughness of smooth textures by over 20%.Furthermore, our research explores the potential of using vibration headphones for object localization, revealing a sensitivity of 7° for the haptic modality, 8° for auditory feedback, and 6° for audio-tactile. This highlights not only the viability of haptic feedback in virtual reality for object localization but also the improvement achieved by reinforcing the sensory experience with audio-tactile stimuli
Pallarés, Valls Oriol. "Time synchronization in underwater acoustic sensor networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/403876.
La sincronización temporal es una pieza clave de cualquier sistema distribuido. Las redes de sensores submarinas hacen uso de los sistemas de sincronización entre nodos para diversos servicios disponibles en cualquier red distribuida. Cabe mencionar que en las redes submarinas, las señales GPS (Global Positioning System) no están disponibles para la referencia temporal, y los sistemas de sincronización se tienen que basar principalmente en comunicaciones acústicas. Además, debido a la alta latencia de dichas redes, la portabilidad de protocolos de sincronización cableados o terrestres, es prácticamente imposible debido a las grandes diferencias de velocidades de propagación de las ondas electromagnéticas frente a las acústicas en el medio marino. Las señales acústicas se adecúan bien al medio submarino, pero presentan una serie de inconvenientes como el efecto Doppler, largas trayectorias multi-camino, además de una velocidad de transmisión baja, que han de ser corregidos en el equipo receptor. Se ha elegido el uso de "Orhtogonal Frequency-Division Multiplexing" (OFDM) como esquema de comunicaciones para el intercambio de datos entre nodos inalámbricos que tienen las bases temporales de cada uno de sus sensores. Este link de comunicaciones será usado, entre otros, para propagar los marcajes de tiempos entre mensajes necesarios para la sincronización de la red. En la literatura se pueden encontrar varios sistemas de sincronización para redes de sensores submarinas basadas en comunicación acústica como TSHL, D-SYNC, DA-Sync, pero sólo unos pocos tienen en cuenta toda la problemática del medio marino, como el bajo ancho de banda, los largos tiempos de propagación, o la movilidad de los sensores. Para resolver esta problemática de la sincronización temporal se ha empleado como referencia "Precision Time Protocol" (PTP) std. IEEE 1588, el cual es capaz de sincronizar dos relojes en una red cableada punto a punto con una precisión por debajo de los centenares de nanosegundos. Además se han empleado sistemas de mejora de la precisión temporal basados en ecuaciones cinemáticas de los nodos, tal y como se presenta en el estudio DA-Sync. En el protocolo PTP, los marcajes de tiempo se realizan en la capa física con el propósito de lograr la mayor precisión posible, ya que de este modo se evitan incertidumbres debidas a las temporizaciones de los sistemas operativos, o los algoritmos de acceso al medio. Análogamente, en esta tesis se presenta un sistema de marcaje de tiempos que extrae mediante hardware el marcaje temporal del inicio de la adquisición de datos. Difiriendo de las redes cableadas, la baja velocidad de propagación de las ondas acústicas en el medio marino hace que la comunicación sea altamente sensible al efecto Doppler, resultando en escalados frecuenciales no uniformes, que afectan a la base temporal dilatándola o comprimiéndola. Este escalado de frecuencia puede deberse a dos factores: movimiento (movimiento de sensores, variaciones del canal, etc.) o derivas del reloj de un nodo frente a otro nodo. Actualmente, para resolver este problema, algunos sistemas utilizan sistemas inerciales muy costosos para estimar el movimiento del sensor y relojes compensados por temperatura. En esta tesis se ha utilizado la información del canal respecto al escalado Doppler, además de las ecuaciones cinemáticas de primer orden, para estimar la movilidad y la deriva de los relojes. Finalmente, varios tests en laboratorio, tanque de agua, y experimentación en el mar son presentados para verificar el correcto funcionamiento de ambos sistemas de comunicación y sincronización. Los resultados validan el funcionamiento de todos los algoritmos software y del hardware, además de verificar el funcionamiento del sistema de sincronización aplicado a redes de sensores submarinas con comunicación acústica.
Yang, Ying. "Time Synchronization in Wireless Sensor Networks:A Survey." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-16986.
Luo, Bin, and 羅斌. "Distributed clock synchronization for wireless sensor networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/198812.
published_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
Deconda, Keerthi. "Fault tolerant pulse synchronization." Thesis, [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2331.
Johansson, Malin. "Synchronization of Acoustic Sensors in a Wireless Network." Thesis, Linköpings universitet, Datorteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157765.
Saravanos, Yanos. "Energy-Aware Time Synchronization in Wireless Sensor Networks." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5438/.
Ying, Yeqiu. "Synchronization and data detection in wireless sensor networks." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485187.
Han, Cheng-Yu. "Clock Synchronization and Localization for Wireless Sensor Network." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS453/document.
Wireless sensor networks (WSNs) play an important role in applications such as environmental monitoring, source tracking, and health care,... In WSN, sensors have the ability to perform data sampling, distributed computing and information fusion. To perform such complex tasks, clock synchronization and localization are two fundamental and essential algorithms. WSNs have been widely studied in the past years, and the scientific literature reports many outcomes that make them applicable for some applications. For some others, research still needs to find solutions to some of the challenges posed by battery limitation, dynamicity, and low computing clock rate. With the aim of contributing to the research on WSN, this thesis proposes new algorithms for both clock synchronization and localization. For clock synchronization, sensors converge their local physical clock to perform data fusion. By applying the clock synchronization algorithm, sensors converge the time difference and therefore work at the same rate. In view of dynamicity, low computing and sparsity of WSN, a new pulse-coupled decentralized synchronization algorithm is proposed to improve the precision of the synchronization. The benefit of this kind of algorithm is that sensors only exchange zero-bit pulse instead of packets, so not only the communication is efficient but also robust to any failure of the sensors in the network. Localization of sensors has been widely studied. However, the quality and the accuracy of the localization still have a large room to improve. This thesis apply Leave-out Sign-dominant Correlated Regions (LSCR) algorithm to localization problem. With LSCR, one evaluates the accurate estimates of confidence regions with prescribed confidence levels, which provide not only the location but also the confidence of the estimation. In this thesis, several localization approaches are implemented and compared. The simulation result shows under mild assumptions, LSCR obtains competitive results compared to other methods
Книги з теми "Sensory synchronization":
Serpedin, Erchin. Synchronization in wireless sensor networks: Parameter estimation, performance benchmarks, and protocols. Cambridge: Cambridge University Press, 2009.
Poovendran, Radha, Sumit Roy, and Cliff Wang, eds. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-46276-9.
Serpedin, Erchin, and Qasim M. Chaudhari. Synchronization in Wireless Sensor Networks: Parameter Estimation, Performance Benchmarks, and Protocols. Cambridge University Press, 2012.
Serpedin, Erchin, and Qasim M. Chaudhari. Synchronization in Wireless Sensor Networks: Parameter Estimation, Performance Benchmarks, and Protocols. Cambridge University Press, 2009.
Serpedin, Erchin, and Qasim M. Chaudhari. Synchronization in Wireless Sensor Networks: Parameter Estimation, Performance Benchmarks, and Protocols. Cambridge University Press, 2009.
Serpedin, Erchin, and Qasim M. Chaudhari. Synchronization in Wireless Sensor Networks: Parameter Estimation, Performance Benchmarks, and Protocols. Cambridge University Press, 2009.
Wang, Cliff, Radha Poovendran, and Sumit Roy. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks. Springer, 2010.
Wang, Cliff, Radha Poovendran, and Sumit Roy. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks. Springer, 2007.
(Editor), Radha Poovendran, Cliff Wang (Editor), and Sumit Roy (Editor), eds. Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks (Advances in Information Security). Springer, 2006.
Частини книг з теми "Sensory synchronization":
Moss, Frank E., and Hans A. Braun. "Unstable Periodic Orbits and Stochastic Synchronization in Sensory Biology." In The Science of Disasters, 310–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56257-0_10.
Zang, Beibei, Tianjun Wang, and Dan Luo. "The Embodied Interaction with XR Metaverse Space Based on Pneumatic Actuated Structures." In Computational Design and Robotic Fabrication, 190–200. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8405-3_16.
Baird, Bill, Todd Troyer, and Frank Eeckman. "Attention as Selective Synchronization of Oscillating Cortical Sensory and Motor Associative Memories." In The Neurobiology of Computation, 167–72. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2235-5_27.
Agrawal, Dharma Prakash. "Clock Synchronization and Localization." In Embedded Sensor Systems, 121–38. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3038-3_5.
Becker, Stina, Tim Schrills, and Thomas Franke. "Social Presence Despite Isolation - Insights into the Relation Between Psychological Distance and Sensory Synchronization in Computer-Mediated Communication." In Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), 145–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74605-6_18.
Su, Weilian. "Time-Synchronization Challenges and Techniques." In Wireless Sensor Networks and Applications, 219–33. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-49592-7_9.
Römer, Kay, Philipp Blum, and Lennart Meier. "Time Synchronization and Calibration in Wireless Sensor Networks." In Handbook of Sensor Networks, 199–237. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/047174414x.ch7.
Zhang, Ying. "Synchronization Accuracy in Wireless Sensor Networks." In Lecture Notes in Electrical Engineering, 187–92. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4853-1_24.
Fernández Anta, Antonio, Miguel A. Mosteiro, and Christopher Thraves. "Deterministic Recurrent Communication and Synchronization in Restricted Sensor Networks." In Algorithms for Sensor Systems, 62–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16988-5_6.
Beauquier, Joffroy, and Janna Burman. "Self-stabilizing Synchronization in Mobile Sensor Networks with Covering." In Distributed Computing in Sensor Systems, 362–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13651-1_26.
Тези доповідей конференцій з теми "Sensory synchronization":
ŠILJAK, HARUN, and BISWAJIT BASU. "NATURAL SYNCHRONIZATION OF WIRELESS SENSOR NETWORKS FOR STRUCTURAL HEALTH MONITORING." In Structural Health Monitoring 2021. Destech Publications, Inc., 2022. http://dx.doi.org/10.12783/shm2021/36278.
Latifzadeh, Kayhan, and Luis A. Leiva. "Gustav: Cross-device Cross-computer Synchronization of Sensory Signals." In UIST '22: The 35th Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3526114.3558723.
Abreu, Raphael, Joel dos Santos, and Eduardo Bezerra. "A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489357.
Abreu, Raphael, Douglas Mattos, Joel A. F. dos Santos, and Débora C. Muchaluat-Saade. "Semi-automatic synchronization of sensory effects in mulsemedia authoring tools." In WebMedia '19: Brazilian Symposium on Multimedia and the Web. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3323503.3360302.
Rodrigues, Renato de Oliveira, Marina I. P. Josué, Raphael S. Abreu, Glauco F. Amorim, Debora C. Muchaluat-Saade, and Joel A. F. dos Santos. "A Proposal for Supporting Sensory Effect Rendering in Ginga-NCL." In XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8161.
Rao, A. Ravishankar. "The modulation of synchronization by tuning functions and its effect on multi-sensory perception." In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2017. http://dx.doi.org/10.1109/ijcnn.2017.7965920.
Wang, Pingfeng, Adebayo O. Adewunmi, and Zequn Wang. "Evolving Design Model Synchronization for System Health Management Using Laplace Approximation." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34552.
Senel, Numan, Gordon Elger, and Andreas Festag. "Sensor Time Synchronization in Smart Road Infrastructure." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-acm-083.
Seo, Duck-Bong, and Z. C. Feng. "Synchronization in Dual Delay Line SAW Sensors." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59979.
Rusch, Tobias, Benjamin Hübner, Silja Meyer-nieberg, Wolfgang Winter, Armin Leopold, Marko Hofmann, and Cornelia Küsel. "Physiological and psychological performance measurement for the practical driving test." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005229.
Звіти організацій з теми "Sensory synchronization":
Nooshabadi, Saeid. ADAPTable Sensor Systems Phase 2. Topic 2: Reusable Core Software. Distributed Synchronization Software for the Sensor Nodes. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada619961.
FEASIBILITY STUDY ON AN OPTICAL STRAIN GAGE BASED ON FLUORESCENCE RESPONSE OF GRAPHENE QUANTUM DOTS. The Hong Kong Institute of Steel Construction, June 2024. http://dx.doi.org/10.18057/ijasc.2024.20.2.5.