scholarly journals Multigroup connectivity structures and their implications

2019 ◽  
Vol 7 (4) ◽  
pp. 459-475
Author(s):  
Shadi Mohagheghi ◽  
Pushkarini Agharkar ◽  
Francesco Bullo ◽  
Noah E. Friedkin
Keyword(s):  
Steady State ◽  
Comparative Analysis ◽  
Network Size ◽  
Generative Models ◽  
Information Propagation ◽  
Topological Constraints ◽  
Consensus Value ◽  
Block Models

AbstractWe investigate the implications of different forms of multigroup connectivity. Four multigroup connectivity modalities are considered: co-memberships, edge bundles, bridges, and liaison hierarchies. We propose generative models to generate these four modalities. Our models are variants of planted partition or stochastic block models conditioned under certain topological constraints. We report findings of a comparative analysis in which we evaluate these structures, controlling for their edge densities and sizes, on mean rates of information propagation, convergence times to consensus, and steady-state deviations from the consensus value in the presence of noise as network size increases.

scholarly journals Time Direction of Information Propagation and Cosmology

1972 ◽  
Vol 25 (2) ◽  
pp. 207 ◽  
Author(s):  
DT Pegg
Keyword(s):  
Steady State ◽  
Ad Hoc ◽  
Big Bang ◽  
Information Propagation ◽  
The Past ◽  
The Future ◽  
Consistent Solution ◽  
Electrodynamic Theory ◽  
The Universe ◽  
State Universe

In conventional electrodynamic theory, the advanced potential solution of Maxwell's equations is discarded on the ad hoc basis that information can be received from the past only and not from the future. This difficulty is overcome by the Wheeler?Feynman absorber theory, but unfortunately the existence of a completely retarded solution in this theory requires a steady-state universe. In the present paper conventional electrodynamics is used to obtain a condition which, if satisfied, allows information to be received from the past only, and ensures that the retarded potential is the only consistent solution. The condition is that a function Ua of the future structure of the universe is infinite, while the corresponding function Ur of the past structure is finite. Of the currently acceptable cosmological models, only the steady-state, the open big-bang, and the Eddington-Lema�tre models satisfy this condition. In these models there is no need for an ad hoc reason for the preclusion of advanced potentials.

scholarly journals Optimal Interplay between Synaptic Strengths and Network Structure Enhances Activity Fluctuations and Information Propagation in Hierarchical Modular Networks

2020 ◽  
Vol 10 (4) ◽  
pp. 228
Author(s):  
Rodrigo F. O. Pena ◽  
Vinicius Lima ◽  
Renan O. Shimoura ◽  
João Paulo Novato ◽  
Antonio C. Roque
Keyword(s):  
Network Structure ◽  
Network Models ◽  
Population Level ◽  
Synaptic Strength ◽  
Network Size ◽  
Strength Parameter ◽  
Information Propagation ◽  
Topological Features ◽  
Maximum Value ◽  
Parameter Ranges

In network models of spiking neurons, the joint impact of network structure and synaptic parameters on activity propagation is still an open problem. Here, we use an information-theoretical approach to investigate activity propagation in spiking networks with a hierarchical modular topology. We observe that optimized pairwise information propagation emerges due to the increase of either (i) the global synaptic strength parameter or (ii) the number of modules in the network, while the network size remains constant. At the population level, information propagation of activity among adjacent modules is enhanced as the number of modules increases until a maximum value is reached and then decreases, showing that there is an optimal interplay between synaptic strength and modularity for population information flow. This is in contrast to information propagation evaluated among pairs of neurons, which attains maximum value at the maximum values of these two parameter ranges. By examining the network behavior under the increase of synaptic strength and the number of modules, we find that these increases are associated with two different effects: (i) the increase of autocorrelations among individual neurons and (ii) the increase of cross-correlations among pairs of neurons. The second effect is associated with better information propagation in the network. Our results suggest roles that link topological features and synaptic strength levels to the transmission of information in cortical networks.

COMPARATIVE ANALYSIS BETWEEN STEADY-STATE GENERATION METHODS

2019 ◽  
Author(s):  
Rodrigo Tavares Veloso ◽  
Ricardo Dias dos Santos ◽  
Leonardo Santos de Brito Alves
Keyword(s):  
Steady State ◽  
Comparative Analysis ◽  
State Generation

scholarly journals A Comparative Analysis of Laguerre-Based Approximators to the Grünwald-Letnikov Fractional-Order Difference

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Rafał Stanisławski ◽  
Krzysztof J. Latawiec ◽  
Marian Łukaniszyn
Keyword(s):  
Steady State ◽  
Comparative Analysis ◽  
Comparative Study ◽  
Frequency Domain ◽  
Fractional Order ◽  
Order Difference

This paper provides a series of new results in both steady-state accuracy and frequency-domain analyses for two Laguerre-based approximators to the Grünwald-Letnikov difference. In a comparative study, the Laguerre-based approximators are found superior to the classical Tustin- and Al-Alaoui-based approximators, which is illustrated in simulation examples.

An ADRC Controller Design for Servo System Based on ASFA

2014 ◽  
Vol 905 ◽  
pp. 459-463
Author(s):  
Jian Min Wu ◽  
Min Gang Wang ◽  
Yi Hu
Keyword(s):  
Steady State ◽  
Comparative Analysis ◽  
Pid Controller ◽  
Control Method ◽  
Controller Design ◽  
Servo System ◽  
Parameter Tuning ◽  
Servo Control ◽  
Servo Controller ◽  
System Controller

Paper studied the improved servo system controller based on ADRC. To deal with the inherent defects of traditional PID controller, a servo control method based on the ADRC was proposed. To deal with ADRCs parameter tuning, paper proposed a method based on ASFA. Finally, the improved servo controller based on ADRC was designed and comparative analysis of simulation between the improved ADRC controller and classical PID controller was completed. Results of simulation indicated that the quickness, stability and steady-state accuracy of the tuned controller has been improved. The result verified the correctness and feasibility of the method.

A survey and comparative analysis of the various routing protocols of Internet of Things

2017 ◽  
Vol 13 (3) ◽  
pp. 264-281 ◽  
Author(s):  
Shailja Agnihotri ◽  
K.R. Ramkumar
Keyword(s):  
Comparative Analysis ◽  
Internet Of Things ◽  
Ant Colony Optimization ◽  
Swarm Intelligence ◽  
Routing Protocols ◽  
Optimization Technique ◽  
Network Size ◽  
Routing Algorithms ◽  
Ant Colony ◽  
Content Type

Purpose The purpose of this paper is to provide insight into various swarm intelligence-based routing protocols for Internet of Things (IoT), which are currently available for the Mobile Ad-hoc networks (MANETs) and wireless sensor networks (WSNs). There are several issues which are limiting the growth of IoT. These include privacy, security, reliability, link failures, routing, heterogeneity, etc. The routing issues of MANETs and WSNs impose almost the same requirements for IoT routing mechanism. The recent work of worldwide researchers is focused on this area. Design/methodology/approach The paper provides the literature review for various standard routing protocols. The different comparative analysis of the routing protocols is done. The paper surveys various routing protocols available for the seamless connectivity of things in IoT. Various features, advantages and challenges of the said protocols are discussed. The protocols are based on the principles of swarm intelligence. Swarm intelligence is applied to achieve optimality and efficiency in solving the complex, multi-hop and dynamic requirements of the wireless networks. The application of the ant colony optimization technique tries to provide answers to many routing issues. Findings Using the swarm intelligence and ant colony optimization principles, it has been seen that the protocols’ efficiency definitely increases and also provides more scope for the development of more robust, reliable and efficient routing protocols for the IoT. Research limitations/implications The existing protocols do not solve all reliability issues and efficient routing is still not achieved completely. As of now no techniques or protocols are efficient enough to cover all the issues and provide the solution. There is a need to develop new protocols for the communication which will cater to all these needs. Efficient and scalable routing protocols adaptable to different scenarios and network size variation capable to find optimal routes are required. Practical implications The various routing protocols are discussed and there is also an introduction to new parameters which can strengthen the protocols. This can lead to encouragement of readers, as well as researchers, to analyze and develop new routing algorithms. Social implications The paper provides better understanding of the various routing protocols and provides better comparative analysis for the use of swarm-based research methodology in the development of routing algorithms exclusively for the IoT. Originality/value This is a review paper which discusses the various routing protocols available for MANETs and WSNs and provides the groundwork for the development of new intelligent routing protocols for IoT.

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