Relevant bibliographies by topics / Multichannel networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multichannel networks'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Multichannel networks"

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Podlazov, Viktor Sergeevich. "Multichannel non-blocking system area network with direct channels." Program Systems: Theory and Applications 13, no. 4 (September 19, 2022): 47–76. http://dx.doi.org/10.25209/2079-3316-2022-13-4-47-76.

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An unblockable non-blocking self-routing network with direct channels has been developed, in which packet conflicts are resolved at the entrance to the network by the procedure of connecting sources to the first cascade of the network , providing a packet duality. Packets blocked during conflict resolution are retransmitted by sources with minimal delays. Within the network, the occurrence of conflicts is prevented by means of parallelization of the network itself. The network is designed in 2-, 4- and 8-stage versions with scaling of the number of channels from several hundred to many millions, keeping the same network performance. The network can provide 1- or 2-channel fault tolerance at the same link rate. The overhead cost of achieving these properties is higher complexity of the network, that becomes comparable to the complexity of the theoretical non-blocking Clos switch, which has no known practical implementation.The purpose of the proposed networks is photonic networks with routing information transmission in packet headers represented as one-time-use binary numbers. The proposed networks are made in an extended circuit basis, consisting of switches and separate multiplexers and demultiplexers. The paper presents the characteristics of the constructed networks with the specified method of presenting routing information.
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Peng-Jun, Wan. "TWDM multichannel lightwave hypercube networks." Theoretical Computer Science 194, no. 1-2 (March 1998): 123–36. http://dx.doi.org/10.1016/s0304-3975(97)00003-0.

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Ye, Qing, and Changhua Liu. "A Multichannel Data Fusion Method Based on Multiple Deep Belief Networks for Intelligent Fault Diagnosis of Main Reducer." Symmetry 12, no. 3 (March 23, 2020): 483. http://dx.doi.org/10.3390/sym12030483.

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Aiming at the problems of poor efficiency of the intelligent fault diagnosis method of the main reducer and the poor effectiveness of multichannel data fusion, this paper proposes a multichannel data fusion method based on deep belief networks and random forest fusion for fault diagnosis. Multiple deep belief networks (MDBNs) are constructed to obtain deep representative features from multiple modalities of multichannel data. Random forest can fuse deep representative features achieved from MDBNs to construct the model of multiple deep belief networks fusion (MDBNF). The proposed method is applied to fault diagnosis of the main reducer and evaluation of the performance. Multiple deep belief network model fusions (MD BN F) are constructed to improve the multichannel data fusion effect. Single sensory data, multichannel data, and two intelligent models based on support vector machine and deep belief networks are used as comparison in the experiments. The results indicate that the classification accuracy of the test set collected by sensor 1 and sensor 2 is 88.35% and 88.73%, respectively. The comparison results show that the method has good convergence. The data fusion of the proposed diagnostic model can effectively improve the correlation between the collected vibration signals and the failure mode, thereby improving the diagnostic performance by nearly 8%, representing improved diagnostic accuracy.
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Alahmadi, Hanan, and Fatma Boabdullah. "A Review of Multi-Channel Medium Access Control Protocols for Wireless Sensor Networks." European Journal of Engineering and Technology Research 6, no. 6 (September 18, 2021): 39–53. http://dx.doi.org/10.24018/ejeng.2021.6.6.2222.

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Wireless Sensor Networks (WSNs) are witnessing a momentum spread especially with the growth of the Internet of Things (IoT) paradigm. Indeed, WSNs are considered as the main enabling infrastructure for IoT networks. Nowadays, the emerging WSNs applications require not only long network lifespan but also considerably high data rate. Consequently, conceiving Multichannel MAC protocols that save the scarceenergy budget of sensor nodes while providing high network throughput is crucial for the emerging WSNs applications. In this paper, a thorough review of recent multichannel MAC protocols is provided along with a classification framework to deeply understand the design aspects for each protocol.
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Alahmadi, Hanan, and Fatma Boabdullah. "A Review of Multi-Channel Medium Access Control Protocols for Wireless Sensor Networks." European Journal of Engineering and Technology Research 6, no. 6 (September 18, 2021): 39–53. http://dx.doi.org/10.24018/ejers.2021.6.6.2222.

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Wireless Sensor Networks (WSNs) are witnessing a momentum spread especially with the growth of the Internet of Things (IoT) paradigm. Indeed, WSNs are considered as the main enabling infrastructure for IoT networks. Nowadays, the emerging WSNs applications require not only long network lifespan but also considerably high data rate. Consequently, conceiving Multichannel MAC protocols that save the scarceenergy budget of sensor nodes while providing high network throughput is crucial for the emerging WSNs applications. In this paper, a thorough review of recent multichannel MAC protocols is provided along with a classification framework to deeply understand the design aspects for each protocol.
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Kyasanur, P., Jungmin So, C. Chereddi, and N. H. Vaidya. "Multichannel mesh networks: challenges and protocols." IEEE Wireless Communications 13, no. 2 (April 2006): 30–36. http://dx.doi.org/10.1109/mwc.2006.1632478.

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Mckinley, P. K. "Multicast Communication in Staircase Multichannel Networks." Journal of Parallel and Distributed Computing 23, no. 1 (October 1994): 60–71. http://dx.doi.org/10.1006/jpdc.1994.1119.

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Opałka, Sławomir, Dominik Szajerman, and Adam Wojciechowski. "LSTM multichannel neural networks in mental task classification." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 4 (July 1, 2019): 1204–13. http://dx.doi.org/10.1108/compel-10-2018-0429.

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Purpose The purpose of this paper is to apply recurrent neural networks (RNNs) and more specifically long-short term memory (LSTM)-based ones for mental task classification in terms of BCI systems. The authors have introduced novel LSTM-based multichannel architecture model which proved to be highly promising in other fields, yet was not used for mental tasks classification. Design/methodology/approach Validity of the multichannel LSTM-based solution was confronted with the results achieved by a non-multichannel state-of-the-art solutions on a well-recognized data set. Findings The results demonstrated evident advantage of the introduced method. The best of the provided variants outperformed most of the RNNs approaches and was comparable with the best state-of-the-art methods. Practical implications The approach presented in the manuscript enables more detailed investigation of the electroencephalography analysis methods, invaluable for BCI mental tasks classification. Originality/value The new approach to mental task classification, exploiting LSTM-based RNNs with multichannel architecture, operating on spatial features retrieving filters, has been adapted to mental tasks with noticeable results. To the best of the authors’ knowledge, such an approach was not present in the literature before.
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Kim, R. Y., Jin Jin, and Baochun Li. "Drizzle: Cooperative Symbol-Level Network Coding in Multichannel Wireless Networks." IEEE Transactions on Vehicular Technology 59, no. 3 (March 2010): 1415–32. http://dx.doi.org/10.1109/tvt.2010.2040095.

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Liu, Jie, and Li Zhu. "Joint Resource Allocation Optimization of Wireless Sensor Network Based on Edge Computing." Complexity 2021 (March 29, 2021): 1–11. http://dx.doi.org/10.1155/2021/5556651.

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Resource allocation has always been a key technology in wireless sensor networks (WSN), but most of the traditional resource allocation algorithms are based on single interface networks. The emergence and development of multi-interface and multichannel networks solve many bottleneck problems of single interface and single channel networks, it also brings new opportunities to the development of wireless sensor networks, but the multi-interface and multichannel technology not only improves the performance of wireless sensor networks but also brings great challenges to the resource allocation of wireless sensor networks. Edge computing changes the traditional centralized cloud computing processing method into a method that reduces computing storage capacity to the edge of the network and faces users and terminals. Realize the advantages of lower latency, higher bandwidth, and fast response. Therefore, this paper proposes a joint optimization algorithm of resource allocation based on edge computing. We establish a wireless sensor allocation model and then propose our algorithm model combined with the advantages of edge computing. Compared with the traditional allocation algorithm (PCOA, MCMH, and TDMA), it can further improve the resource utilization, reduce the network energy consumption, increase network capacity, and reduce the complexity of the schemes.
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Dissertations / Theses on the topic "Multichannel networks"

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Savov, Emil I. "Multichannel photonic networks." Thesis, University of Ottawa (Canada), 1991. http://hdl.handle.net/10393/7835.

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This thesis presents several alternatives for fibre-optic local and metropolitan area networks. The issues considered are mainly related to the physical layer of the networks, i.e., the topology and the optical communications problems. The following approaches were considered in more detail: photonic switching using spatial light modulators; subcarrier-multiplexing techniques using direct optical detection, and in particular the transmission of 64-QAM signals by optical fibre; and subcarrier-multiplexing techniques combined with coherent optical detection. The spatial light modulator appears to be one of the most promising means for building a large-size (e.g., 1000 $\times$ 1000) optical space switch. The main constraints are the attenuation of the optical signal and the crosstalk between the channels. Other problems such as fan-in and fan-out are also addressed. Theoretical and experimental results are presented on the fibre-optic transmission of microwave 64-QAM signals at 90 Mb/s rate. Two important methods of improving the system performance are discussed and demonstrated: laser reflection-induced intensity noise minimization, and error-correction coding using a self-orthogonal convolutional code. The applicability of this transmission technique to the distribution of digital video services is assessed. The concept of photonic networks which use subcarrier-multiplexing techniques together with coherent optical detection is presented. The different radio and optical modulation formats that can be used are investigated and compared for several system modes of operation. The effects of laser phase noise on the system performance are also addressed. An 8-port homodyne phase-diversity receiver is analyzed theoretically.
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Nordin, N. "Multichannel cross-layer routing for sensor networks." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1566915/.

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Wireless Sensor Networks are ad-hoc networks that consist of sensor nodes that typically use low-power radios to connect to the Internet. The channels used by the low-power radio often suffer from interference from the other devices sharing the same frequency. By using multichannel communication in wireless networks, the effects of interference can be mitigated to enable the network to operate reliably. This thesis investigates an energy efficient multichannel protocol in Wireless Sensor Networks. It presents a new decentralised multichannel tree-building protocol with a centralised controller for ad-hoc sensor networks. The proposed protocol alleviates the effect of interference, which results in improved network efficiency, stability, and link reliability. The protocol detects the channels that suffer interference in real-time and switches the sensor nodes from those channels. It takes into account all available channels and aims to use the spectrum efficiently by transmitting on several channels. In addition to the use of multiple channels, the protocol reconstructs the topology based on the sensor nodes’ residual energy, which can prolong the network lifetime. The sensor nodes’ energy consumption is reduced because of the multichannel protocol. By using the lifetime energy spanning tree algorithm proposed in this thesis, energy consumption can be further improved by balancing the energy load in the network. This solution enables sensor nodes with less residual energy to remain functional in the network. The benefits of the proposed protocol are described in an extensive performance evaluation of different scenarios in this thesis.
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Liew, Soung Chang. "Capacity assignment in non-switching multichannel networks." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/14711.

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JAIN, NITIN. "MULTICHANNEL CSMA PROTOCOLS FOR AD HOC NETWORKS." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin995471534.

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Tenneti, Shivaram Venkata. "Channel assignment for throughput improvement in multi-radio wireless mesh networks." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/tenneti/TennetiS1207.pdf.

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Saha, Dola. "Channel allocation using interference detection in multichannel wireless networks." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1453577.

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Tall, Hamadoun. "Load balancing in multichannel data collection wireless sensor networks." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC006/document.

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Les Réseaux de Capteurs Sans Fil (RCSF) sont de plus en plus exploités par des applications diverses grâce à leur facilité de déploiement et d’auto-configuration. Les applications de collecte de données qui utilisent les RCSF ont souvent un profil convergecast : l’ensemble des données récoltées par tous les capteurs du réseau sont acheminées vers un puits de collecte, grâce à une communication multi-saut. Pendant l’acheminement des données des nœuds de collecte vers le puits, des goulots d’étranglement sont fréquemment observés, principalement au voisinage du puits. Cela est du à la congestion et au phénomène d’entonnoir couramment observé sur le trafic de données ayant un profile convergecast. Outre un risque accru de collision, cela entraîne le débordement des files d’attente des nœuds concernés conduisant à des pertes de données. Cette perte réduit le taux de livraison au puits entraînant une baisse du débit du réseau. Afin de réduire ces pertes et de permettre un meilleur taux de livraison au puits, le trafic doit être équitablement réparti au niveau de chaque saut pendant l’acheminement. Dans cette thèse, nous avons d’une part proposé S-CoLBA (Single channel Collaborative Load Balancing Algorithm), un protocole mono-canal de routage dynamique avec équilibrage de la charge. Sa métrique de routage est basée sur le délais moyen d’accès au medium radio par nœud. Chaque nœud choisit comme prochain saut à destination du puits, un de ses voisins ayant le délais d’accès le plus court. S-CoLBA intègre également une surveillance permanente des files d’attente des nœuds afin de prévenir la congestion et d’éviter le débordement de ces files. D’autre part, nous avons adapté S-CoLBA pour le rendre utilisable dans un réseau multicanal. Cette version du protocole s’appelle M-CoLBA (pour Mulitchannel CoLBA). M-CoLBA évite la congestion en équilibrant la charge grâce à une répartition du trafic au niveau de chaque saut du réseau. Dans un réseau multicanal, le problème de support de diffusion se pose. M-CoLBA introduit des périodes de synchronisations où tous les nœuds utilisent le même canal pour échanger les informations de routage. Ces périodes de synchronisation contribuent à allonger les délais de bout en bout des paquets. Nous avons ainsi optimisé M-CoLBA en "surchargeant" les acquittements des trames avec les informations de routage ( piggybacking) et les états des files d’attente. Cela évite de passer par des périodes de synchronisation pour diffuser ces informations. Cette version optimisée s’appelle ABORt ( Acknowledgement-Based opportunistic Routing protocol). Dans un cas de trafic de type convergecast, ABORt induit une diversité des routes prises par les données collectées, ce qui est bénéfique à la quantité de données transportées et à la robustesse de la solution. Les contributions ont été évaluées par simulation et expérimentation dans un réseau monocanal et multicanal. Les résultats montrent que nos contributions améliorent le taux de livraison des données au puits, optimisent le délais de bout en bout et réduisent la quantité de trafic de contrôle comparé à des solutions déjà existantes
The popularity of wireless sensor networks (WSNs) is increasing due to their ease ofdeployment and auto-configuration capabilities. They are used in different applica-tion domains including data collection with convergecast scenarios. In convergecast,all data collected in the network is destined to one common node usually called thesink. In case of high carried traffic load and depending on the used routing policy,this many-to-one data collection leads to congestion and queue overflow mainly innodes located near the sink. Congestion and queue overflow reduce delivery ratiothat negatively affects the network efficiency.Wireless sensor nodes are resource constrained devices with limited buffers sizeto store and forward data to the sink. Introducing multichannel communication inWSNs helps to increase the carried traffic load thanks to allowing parallel data trans-mission and reduction of contention and interference. With high traffic load, thenumber of data packets travelling from leaf nodes towards the sink becomes higher.In case the routing scheme does not balance the traffic load, it will be unfairly dis-tributed between forwarding nodes. Thus, nodes that are in part of the routing will beoverloaded while others are less used. Overloaded nodes increase the risk of conges-tion and queue overflow leading to data loss that reduces the throughput. Therefore,we need to couple the routing protocols with traffic load balancing scheme in hightraffic load network scenarios.The goal of this thesis is to propose an efficient routing solution to prevent con-gestion and queue overflow in high data rate convergecast WSNs, in such a way, tooptimize data delivery ratio at the sink node.On the one hand, we proposed a single channel traffic load balancing routingprotocol, named S-CoLBA (Single channel Collaborative Load balancing routing).It relies on data queueing delay metric and best score (according to the value of themetric) next hop neighbors to fairly distribute traffic load in per hop basis in the net-work. Since the carried traffic load increases in multichannel communication, onthe other hand, we adapted our contribution to cope with multichannel WSNs andwe named it as Multichannel CoLBA (M-CoLBA). As broadcasting information isnot straightforward in multichannel, we optimize M-CoLBA to use piggybackingscheme for routing information sharing in the network. This enhanced version iscalled ABORt for Acknowledgement-Based opportunistic Routing protocol and re-lies on ACK frames to share routing information. Doing so helps to optimize dataframe end-to-end delay and to reduce the transmitted beacons in the network. ABORtfairly distributes traffic load in the network and avoids congestion and queue over-flow.We evaluated the performance of our contributions in both simulation using Con-tiki OS Cooja simulator and experiment (only for S-CoLBA) on TelosB motes. Ob-tained results in both simulation and experiment confirm the efficiency of our routingprotocols in term of packet delivery ratio and queue overflow compared to some ex-isting routing protocols in the literature
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Nguyen, Minh Duc. "Application-aware Scheduling in Multichannel Wireless Networks with Power Control." Thesis, KTH, Kommunikationsnät, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99194.

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Scheduling algorithm is the algorithm to allocate system resources among processes and data flows. Joint channel-assignment and workload-based (CAWS) is a recently developed algorithm for scheduling in the downlink of multi-channel wireless systems, such as OFDM. Compared to well known algorithms, CAWS algorithm has been proved to throughput optimal with flow-level dynamics. In this master thesis project, we design a system that accounts for power control and for the characteristics of common radio channels. We evaluate the efficiency of the algorithm under a diverse set of conditions. We also do analysis of CAWS algorithm under different traffic density.
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TALWAR, SUMEET. "PERFORMANCE EVALUATION OF MULTIPATH ROUTING WITH MULTICHANNEL AD HOC NETWORKS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1054312541.

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Kakumanu, Sandeep. "Component Based Channel Assignment in Single Radio, Multichannel Ad hoc Networks." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19870.

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In this work, we consider the channel assignment problem in single radio multi-channel mobile ad-hoc networks. Specifically, we investigate the granularity of channel assignment decisions that gives the best trade-off in terms of performance and complexity. We present a new granularity for channel assignment that we refer to as component level channel assignment. The strategy is relatively simple, and is characterized by several impressive practical advantages. We also show that the theoretical performance of the component based channel assignment strategy does not lag significantly behind the optimal possible performance, and perhaps more importantly we show that when coupled with its several practical advantages, it significantly outperforms other strategies under most network conditions.
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Books on the topic "Multichannel networks"

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Multichannel optical networks. Dordrecht: Kluwer Academic Publishers, 2000.

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Wan, Peng-Jun. Multichannel Optical Networks. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5317-5.

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Wan, Peng-Jun. Multichannel optical networks. New Brunswick, NJ: Rutgers University, 1998.

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Wan, Peng-Jun. Multichannel Optical Networks. Springer, 2013.

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Wan, Peng-Jun. Multichannel Optical Networks (Network Theory and Applications). Springer, 2000.

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1970-, Wan Peng-Jun, Du Dingzhu, Pardalos P. M. 1954-, and DIMACS Workshop on Multichannel Optical Networks: Theory and Practice (1998 : Rutgers University), eds. Multichannel optical networks: Theory and practice : DIMACS Workshop, March 16-19, 1998. Providence, R.I: American Mathematical Society, 1998.

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Performance Analysis of Multichannel and Multi-Traffic on Wireless Communication Networks. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b116478.

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Ilias, Nauman, Allan Shampine, and Georgi Giozov. Vertical Integration in Multichannel Television Markets: Revisiting Regional Sports Networks Using Updated Data. Independently Published, 2020.

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Raff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.

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This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (iii) parametrization of interatomic potential functions using a genetic algorithm accelerated with a NN; (iv) parametrization of analytic interatomic potential functions using NNs; (v) self-starting methods for obtaining analytic PES from ab inito electronic structure calculations using direct dynamics; (vi) development of a novel method, namely, combined function derivative approximation (CFDA) for simultaneous fitting of a PES and its corresponding force fields using feedforward neural networks; (vii) development of generalized PES using many-body expansions, NNs, and moiety energy approximations; (viii) NN methods for data analysis, reaction probabilities, and statistical error reduction in chemical reaction dynamics; (ix) accurate prediction of higher-level electronic structure energies (e.g. MP4 or higher) for large databases using NNs, lower-level (Hartree-Fock) energies, and small subsets of the higher-energy database; and finally (x) illustrative examples of NN applications to chemical reaction dynamics of increasing complexity starting from simple near equilibrium structures (vibrational state studies) to more complex non-adiabatic reactions. The monograph is prepared by an interdisciplinary group of researchers working as a team for nearly two decades at Oklahoma State University, Stillwater, OK with expertise in gas phase reaction dynamics; neural networks; various aspects of MD and Monte Carlo (MC) simulations of nanometric cutting, tribology, and material properties at nanoscale; scaling laws from atomistic to continuum; and neural networks applications to chemical reaction dynamics. It is anticipated that this emerging field of NN in chemical reaction dynamics will play an increasingly important role in MD, MC, and quantum mechanical studies in the years to come.
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Michel, Christoph M., and Bin He. EEG Mapping and Source Imaging. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.

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This chapter describes methods to analyze the scalp electric field recorded with multichannel electroencephalography (EEG). With advances in high-density EEG, systems now allow fast and easy recording from 64 to 256 channels simultaneously. Pattern-recognition algorithms can characterize the topography of scalp electric fields and detect changes in topography over time and between experimental or clinical conditions. Methods for estimating the sources underlying the recorded scalp potential maps have increased the spatial resolution of EEG. The use of anatomical information in EEG source reconstruction has increased the precision of EEG source localization. Algorithms of functional connectivity applied to the source space allow determination of communication between large-scale brain networks in certain frequencies and identification of the directionality of this information flow and detection of crucial drivers in these networks. These methods have boosted the use of EEG as a functional neuroimaging method in experimental and clinical applications.
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Book chapters on the topic "Multichannel networks"

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McGarry, Michael P., and Martin Reisslein. "MultiChannel EPONs." In Optical Networks, 197–217. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-92131-0_9.

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Wan, Peng-Jun, and Feng Cao. "Multichannel Lightwave Networks." In Advances in Algorithms, Languages, and Complexity, 379–96. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-3394-4_16.

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Zheng, Rong, and Cunqing Hua. "Sniffer-Channel Assignment in Multichannel Wireless Networks." In Wireless Networks, 71–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50502-2_6.

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Czachórski, Tadeusz, Godlove Suila Kuaban, and Tomasz Nycz. "Multichannel Diffusion Approximation Models for the Evaluation of Multichannel Communication Networks." In Distributed Computer and Communication Networks, 43–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36614-8_4.

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Crochat, O., J. Y. Le Boudec, and O. Gerstel. "Protection interoperability for WDM optical networks." In Multichannel Optical Networks: Theory and Practice, 129–42. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/046/11.

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Chlamtac, Imrich, Andrea Fumagalli, and Viktória Elek. "Performance of photonic slot routing networks." In Multichannel Optical Networks: Theory and Practice, 227–38. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/046/16.

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Wan, Peng-Jun, and Liwu Liu. "Maximal throughput in wavelength-routed optical networks." In Multichannel Optical Networks: Theory and Practice, 15–26. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/046/02.

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Auletta, V., I. Caragiannis, C. Kaklamanis, and P. Persiano. "Efficient wavelength routing in trees with low-degree converters." In Multichannel Optical Networks: Theory and Practice, 1–14. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/046/01.

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Gerstel, Ornan (Ori). "Minimizing the cost of an optical network." In Multichannel Optical Networks: Theory and Practice, 27–31. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/046/03.

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Kumar, Vijay. "Bandwidth allocation algorithms for tree and ring networks." In Multichannel Optical Networks: Theory and Practice, 33–42. Providence, Rhode Island: American Mathematical Society, 1998. http://dx.doi.org/10.1090/dimacs/046/04.

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Conference papers on the topic "Multichannel networks"

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Leach, J. S. "Passive components for multichannel networks." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 1991. http://dx.doi.org/10.1364/ofc.1991.tum1.

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Konopaltseva, Lyudmila I., Vladimir G. Krasilenko, Anatoly E. Volosovich, and Oleg K. Kolesnitsky. "Universal integral-optical multichannel logical elements." In Advanced Networks and Services, edited by S. Iraj Najafi and Henri Porte. SPIE, 1995. http://dx.doi.org/10.1117/12.201972.

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Maheshwari, Ritesh, Himansho Gupta, and Samir Das. "Multichannel MAC Protocols for Wireless Networks." In 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks. IEEE, 2006. http://dx.doi.org/10.1109/sahcn.2006.288495.

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McTasney, Robert, Dirk Grunwald, and Douglas Sicker. "Low-Latency Multichannel Wireless Mesh Networks." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317962.

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Kiselyov, Boris S., Andrei L. Mikaelian, B. A. Novoselov, Vladimir A. Shkitin, L. B. Arkhontov, and Nickolay N. Evtikhiev. "LiNbO3-based multichannel electro-optical light modulators." In Optical Memory and Neural Networks, edited by Andrei L. Mikaelian. SPIE, 1991. http://dx.doi.org/10.1117/12.50421.

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Peto, Tamas. "Multichannel passive radar receiver platform." In 2015 17th International Conference on Transparent Optical Networks (ICTON). IEEE, 2015. http://dx.doi.org/10.1109/icton.2015.7193445.

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Burr, Alister, and Qinhui Huang. "On quantization and network coding in wireless relay networks." In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2016. http://dx.doi.org/10.1109/sam.2016.7569724.

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Daum, Sebastian, Mohsen Ghaffari, Seth Gilbert, Fabian Kuhn, and Calvin Newport. "Maximal independent sets in multichannel radio networks." In the 2013 ACM symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2484239.2484257.

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Nassiri, Mohammad, Fabrice Theoleyre, Martin Heusse, and Andrzej Duda. "Molecular MAC for multichannel wireless mesh networks." In 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems (MASS). IEEE, 2009. http://dx.doi.org/10.1109/mobhoc.2009.5337028.

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Tang, Taiwen, Ketan Mandke, Chan-byoung Chae, Robert Heath, and Scott Nettles. "Multichannel Feedback in OFDM Ad Hoc Networks." In 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks. IEEE, 2006. http://dx.doi.org/10.1109/sahcn.2006.288534.

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Reports on the topic "Multichannel networks"

1

Shacham, Nachum, and Peter J. King. Architectures and Performance of Multichannel, Multihop Packet Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada175513.

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Tang, Zhenyu, and J. J. Garcia-Luna-Aceves. Hop Reservation Multiple Access (HRMA) for Multichannel Packet Radio Networks. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada461856.

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Wu, Fan, Vijay Raman, and Nitin Vaidya. A Channel Assignment Algorithm for Opportunistic Routing in Multichannel, Multi-Radio Wireless Mesh Networks. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada555031.

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