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COMPLEX DATA CLUSTERING: FROM NEURAL NETWORK ARCHITECTURE TO THEORY AND APPLICATIONS OF NONLINEAR DYNAMICS OF PATTERN RECOGNITION

GUOJUN GAN, JIALUN YIN, YULIA WANG, JIANHONG WU
2014 BIOMAT 2013  
Our objective is to develop both mathematical foundation and effective techniques/tools for projective clustering.  ...  We also present some applications to gene filtering, cancer diagnosis, neural spike trains pattern recognition, text mining, stock associations, and online social network news aggregation.  ...  the adaptability of transmission time delays and the signal losses that necessarily arises in the presence of transmission delay.  ... 
doi:10.1142/9789814602228_0005 fatcat:okqenmoisbh35clr7kjsc36mla

Application Research of Time Delay System Control in Mobile Sensor Networks Based on Deep Reinforcement Learning

Wenwu Zhu, Tanya Garg, Saleem Raza, Sachin Lalar, Dheer Dhwaj Barak, Abdul Wahab Rahmani, Shalli Rani
2022 Wireless Communications and Mobile Computing  
One of the main problems of networked control systems is that signal transmission delay is inevitable due to long distance transmission.  ...  function of mobile sensor network time delay system is constructed by using high-order approximate differential equation, combined with maximum likelihood estimation method for parameter estimation of  ...  By converting the sampling period into a bounded timevarying delay, the error dynamics of the generalized neural network considered is derived using a dynamical system with sampling [9] .  ... 
doi:10.1155/2022/7844719 fatcat:fp7gzytctjg73dxp2zxdx65z3m

Edge-assisted Viewport Adaptive Scheme for real-time Omnidirectional Video transmission [article]

Tao Guo, Xikang Jiang, Bin Xiang, Lin Zhang
2020 arXiv   pre-print
All computing tasks were offloaded to edge servers to reduce the transmission delay and improve bandwidth utilization.  ...  Compared with the ordinary video transmission, OV transmission requires more bandwidth, which is still a huge burden even under 5G networks. The tile-based scheme can reduce bandwidth consumption.  ...  In fig 4(a) , We compare prediction results of the GRU neural network with the LR model.  ... 
arXiv:2003.09580v1 fatcat:vuwpzoucwzfc5f3hxhsh5mrake

Efficient MAC Protocols for Brain Computer Interface Applications

Shams Al Ajrawi, Ramesh Rao, Mahasweta Sarkar
2021 Computers Materials & Continua  
The UHF-RFID transmitters were used because they are energy efficient which makes them compatible with BCI application. The first protocol is designed for the EEG signals.  ...  In this paper, we propose two novel MAC protocols using passive UHF-RFID, the proposed protocols provide efficient and reliable communication between the transmitters and the receiver.  ...  Acknowledgement: We would like to thank our colleagues who supported us during this work. Funding Statement: The authors received no specific funding for this study.  ... 
doi:10.32604/cmc.2021.016930 fatcat:qucezro3szh2jixepum5k5f4yq

2020 Index IEEE Signal Processing Letters Vol. 27

2020 IEEE Signal Processing Letters  
., +, LSP 2020 506-510 Neural Network-Optimized Channel Estimator and Training Signal Design for MIMO Systems With Few-Bit ADCs.  ...  ., +, LSP 2020 506-510 Neural Network-Optimized Channel Estimator and Training Signal Design for MIMO Systems With Few-Bit ADCs.  ... 
doi:10.1109/lsp.2021.3055468 fatcat:wfdtkv6fmngihjdqultujzv4by

5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches

F. S. Samidi, N. A. M. Radzi, W. S. H. M. W. Ahmad, F. Abdullah, M. Z. Jamaludin, A. Ismail
2021 IEEE Access  
This kind of neural network uses a hierarchical level built similar to the human brain, connected with neuron nodes like a web.  ...  Using deep neural network (DNN) for interference mitigation technique, Haorun et al.  ... 
doi:10.1109/access.2021.3104277 fatcat:s6xyfoefwnanzd7be642wleul4

Editorial

D. Palmer-Brown
2011 Neural computing & applications (Print)  
prediction based on database updates and neural networks.  ...  Two fuzzy rules manipulate and supervise the flow of video over the Bluetooth 1.2 standard. The simulation results show improvement in image quality, reduced data loss, and reduced time delay.  ... 
doi:10.1007/s00521-011-0714-3 fatcat:pizya3ztevd5fkqlybj6ziei4m

2014 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 25

2014 IEEE Transactions on Neural Networks and Learning Systems  
Lagrange Stability of Memristive Neural Networks With Discrete and Distributed Delays.  ...  ., TNNLS Jun. 2014 1045-1052 New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay Using Delay-Decomposition Approach.  ...  The Field of Values of a Matrix and Neural Networks. Georgiou, G.M., TNNLS Sep. 2014  ... 
doi:10.1109/tnnls.2015.2396731 fatcat:ztnfcozrejhhfdwg7t2f5xlype

Table of Content

2020 2020 28th Iranian Conference on Electrical Engineering (ICEE)  
..... 568 Position Tracking of Parallel Robot by an Adaptive Second Order Sliding Mode Control based on Projection Neural Network .......................................................................  ...  Burst Signals with Sampling Frequency and Delay Offset ..................................................................................................................................... 1645 Direct  ... 
doi:10.1109/icee50131.2020.9260902 fatcat:7gs43h5sqraabcu35jsrax4cqu

Energy Efficient Clustering Protocol using Self Organizing Map in MANET

X. S. Asha Shiny, R. Jagadeesh Kannan
2015 Indian Journal of Science and Technology  
Conclusion: Simulation results prove that the proposed algorithm minimizes the use of energy and makes it energy efficient so that it can extend the lifetime of the network.  ...  Results: The proposed method enables us to form energy balanced clusters and distribute the energy consumption in an equivalent manner.  ...  training using an Adaptive Resonance Theory module approach.  ... 
doi:10.17485/ijst/2015/v8i28/76818 fatcat:fogswnf3cbf7zazi6ikl66nxey

Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System

Junwen Luo, Graeme Coapes, Terrence Mak, Tadashi Yamazaki, Chung Tin, Patrick Degenaar
2016 IEEE Transactions on Biomedical Circuits and Systems  
Our design is shown to outperform three alternative approaches previously used for implementing spiking neural network model.  ...  In this paper, we present a frame-based network-on-chip (NoC) hardware architecture for implementing a bio-realistic cerebellum model with neurons, which has been used for studying timing control or passage-of-time  ...  Fig. 5 . 5 Example of mapping of neural network to a network-on-chip. (a) Neural Network. A sample Golgi neural network with a single Golgi cell connected to three out of four granule-cell clusters.  ... 
doi:10.1109/tbcas.2015.2460232 pmid:26452290 fatcat:qh24oq67d5dzfocolwcwmarvi4

Detection and Prevention of Primary User Emulation Attack in Cognitive Radio Networks Using Secure Hash Algorithm

Rajagopala VasanthaReddy, Affiliated to Visvesvaraya Technological University, Sanjeev Lingareddy, Affiliated to Visvesvaraya Technological University
2021 International Journal of Intelligent Engineering and Systems  
The Received Signal Strength (RSS) and Direction of Arrival (DoA) are used to achieve the localization between the primary and secondary users.  ...  The performance of the RSS-DoA-SHA method is analyzed in terms of routing overhead, End-to-End Delay (EED) and loss ratio.  ...  But, the RSS-DoA-SHA method with the integration of SHA-1 and neural network prevents the PUE attack which used to minimize the routing overhead and loss ratio.  ... 
doi:10.22266/ijies2021.0430.12 fatcat:2qcciv2gvvelvozwgrlzvacuue

Table of Contents

2020 IEEE Signal Processing Letters  
Chen 1365 Neural Network-Optimized Channel Estimator and Training Signal Design for MIMO Systems With Few-Bit ADCs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Zhang 805 Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to SignalReconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Huang , and X. You 1774 The Role of Neural Network Activation Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Parhi and R. D.  ... 
doi:10.1109/lsp.2020.3040840 fatcat:ezrfzwo6tjbkfhohq2tgec4m6y

Complex discriminative learning Bayesian neural equalizer

Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio, Raffaele Parisi
2001 Signal Processing  
In this paper a novel neural network for digital equalization is introduced and described.  ...  Main features of the resulting neural equalizer are the high rate of convergence with respect to classical neural equalizers and the low degree of complexity.  ...  Acknowledgements This work was supported in part by the Italian Ministry for University and Technological and Scientiÿc Research (M.U.R.S.T.).  ... 
doi:10.1016/s0165-1684(01)00129-3 fatcat:3uyh47k2jve3rl5lk4qotgt3vu

Distribution of Road Hazard Warning Messages to Distant Vehicles in Intelligent Transport Systems

Daniel Calabuig, David Martin-Sacristan, Jose F. Monserrat, Mladen Botsov, David Gozalvez
2018 IEEE transactions on intelligent transportation systems (Print)  
The simulation results show the potential benefit of hybrid networks compared to pure cellular transmissions, especially if the novel cluster head selection technique is used.  ...  Moreover, the application of clustering and cluster head selection mechanisms among vehicles can increase the efficiency of hybrid vehicular and cellular communication networks.  ...  Ph.D. he participated in some European projects and activities like NEWCOM, COST2100 and ICARUS, working on radio resource management in heterogeneous wireless systems and Hopfield neural networks optimization  ... 
doi:10.1109/tits.2017.2718103 fatcat:vuo5jhtxrza6jdvd2zvcdtux4a
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