scholarly journals Learning Automata-based Misinformation Mitigation via Hawkes Processes

2021 ◽  
Author(s):  
Ahmed Abouzeid ◽  
Ole-Christoffer Granmo ◽  
Christian Webersik ◽  
Morten Goodwin
Keyword(s):  
Information Dissemination ◽  
Learning Automata ◽  
Real Life ◽  
Mitigation Strategy ◽  
Light Weight ◽  
Hawkes Processes ◽  
Social Network Dynamics ◽  
Decentralized Learning ◽  
Single User ◽  
Valid Information

AbstractMitigating misinformation on social media is an unresolved challenge, particularly because of the complexity of information dissemination. To this end, Multivariate Hawkes Processes (MHP) have become a fundamental tool because they model social network dynamics, which facilitates execution and evaluation of mitigation policies. In this paper, we propose a novel light-weight intervention-based misinformation mitigation framework using decentralized Learning Automata (LA) to control the MHP. Each automaton is associated with a single user and learns to what degree that user should be involved in the mitigation strategy by interacting with a corresponding MHP, and performing a joint random walk over the state space. We use three Twitter datasets to evaluate our approach, one of them being a new COVID-19 dataset provided in this paper. Our approach shows fast convergence and increased valid information exposure. These results persisted independently of network structure, including networks with central nodes, where the latter could be the root of misinformation. Further, the LA obtained these results in a decentralized manner, facilitating distributed deployment in real-life scenarios.

scholarly journals LADE: Learning Automata Based Differential Evolution

2015 ◽  
Vol 24 (06) ◽  
pp. 1550023 ◽  
Author(s):  
Mahshid Mahdaviani ◽  
Javidan Kazemi Kordestani ◽  
Alireza Rezvanian ◽  
Mohammad Reza Meybodi
Keyword(s):  
Differential Evolution ◽  
Optimization Problems ◽  
Learning Automata ◽  
Real Life ◽  
Population Based ◽  
Exact Algorithms ◽  
Function Optimization ◽  
Crossover Probability ◽  
Mutation Strategy ◽  
Mathematical Techniques

Many engineering optimization problems do not standard mathematical techniques, and cannot be solved using exact algorithms. Evolutionary algorithms have been successfully used for solving such optimization problems. Differential evolution is a simple and efficient population-based evolutionary algorithm for global optimization, which has been applied in many real world engineering applications. However, the performance of this algorithm is sensitive to appropriate choice of its parameters as well as its mutation strategy. In this paper, we propose two different underlying classes of learning automata based differential evolution for adaptive selection of crossover probability and mutation strategy in differential evolution. In the first class, genomes of the population use the same mutation strategy and crossover probability. In the second class, each genome of the population adjusts its own mutation strategy and crossover probability parameter separately. The performance of the proposed methods is analyzed on ten benchmark functions from CEC 2005 and one real-life optimization problem. The obtained results show the efficiency of the proposed algorithms for solving real-parameter function optimization problems.

scholarly journals Disagreement Strategies used by Speakers of English as a Lingua Franca in Business Meetings

2020 ◽  
Vol 11 (3) ◽  
pp. 46
Author(s):  
Alaa Ahmed Alzahrani
Keyword(s):  
Real Life ◽  
Mitigation Strategy ◽  
Business Meeting ◽  
Limited Attention ◽  
Lingua Franca ◽  
Business Meetings ◽  
Frequent Use ◽  
Marked Preference ◽  
The Voice

Numerous studies have attested to the consensus-orientation and cooperative nature of English as a lingua franca (ELF) interactions. However, limited attention has been given to moments of disagreements in ELF communication, with most of the little existing work focusing on disagreements in ELF academic or informal contexts. Consequently, little is known about how ELF users display disagreement in real-life business contexts. For this reason, this study examined disagreement expressions in five ELF business meetings drawn from the VOICE corpus to understand the nature of disagreement in ELF interactions. Following the identification of disagreement instances, the study used Stalpers’s (1995) framework to investigate whether the disagreement was accompanied by a mitigation strategy that reduces its impact. It was found that the examined ELF business speakers express their disagreement in both mitigated and unmitigated forms with a marked preference for using mitigated expressions, indicating that the appropriate linguistic choice for expressing disagreements in a between-company business meeting is a mitigated disagreement form. Another main finding is the frequent use of disagreement utterances, suggesting that ELF speakers do not merely seek consensus, but they also raise objections and state their different opinions. One implication of these findings is that ELF encounters might not be as consensus-seeking and mutually supportive as suggested in previous works. Taken together, the findings of the present study extended the existing body of work on ELF disagreement and, in general, added further to our understanding of ELF interaction.

scholarly journals A Lightweight Trust Scheme for Iot

2018 ◽  
Vol 7 (3.34) ◽  
pp. 241 ◽  
Author(s):  
Dr S. Chithra ◽  
Dr N. Bhalaji ◽  
S Nandini
Keyword(s):  
Elliptic Curve Cryptography ◽  
Real Life ◽  
The Internet ◽  
Light Weight ◽  
Security Measures ◽  
Security Attacks ◽  
Sensors And Actuators ◽  
Iot Applications ◽  
Blom's Scheme ◽  
The Internet Of Things

The Internet of Things (IoT) refers to system in which smart objects interact with each other with the aid of sensors and actuators through wired/wireless connection. When an IoT concept is implemented for real life application, the possibility of the system being attacked increases. The security measures have to be improved to prevent the attacks.  This paper introduces light weight security schemes for authentication and encryption.  This system uses Blom’s scheme for authentication and Elliptic curve cryptography for encryption. Both these schemes are claimed to be light weight and hence is applicable of IoT applications which is a constrained environment.  These security schemes are applied for healthcare system. The system is proved to be strong against the security attacks. 

scholarly journals Modeling and Quantifying Interaction of Information and Capacity in Public Transport Disruptions

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Mahsa Rahimi Siegrist ◽  
Francesco Corman
Keyword(s):  
Public Transport ◽  
Time Management ◽  
Large Scale ◽  
Information Dissemination ◽  
Real Life ◽  
Negative Effects ◽  
Public Transport System ◽  
Large Scale Network ◽  
Scale Network ◽  
The Impact

Disruption in public transport networks has adverse implications for both passengers and service managers. To evaluate the effects of disruptions on passengers’ behaviour, various methods, simulation modules, and mathematical models are widely used. However, such methods included many assumptions for the sake of simplicity. We here use multiagent microsimulation modules to simulate complex real-life scenarios. Aspects that were never explicitly modelled together are the capacity of the network and the effect of disruption to on-board passengers, who might need to alight the disrupted services. In addition, our simulation and developed module provide a framework that can be applied for both transport planning and real-time management of disruption for the large-scale network. We formalize the agent-based assignment problem in capacitated transit networks for disrupted situations, where some information is available about the disruption. We extend a microsimulation environment to quantify precisely the impact and the number of agents directly and indirectly affected by the disruption, respectively, those passengers who cannot perform their trip because of disrupted services (directly affected passengers), and those passengers whose services are not disrupted but experience additional crowding effects (indirectly affected passengers). The outcomes are discussed both from passengers’ perspective and for extracting more general planning and policy recommendations. The modeling and solution approaches are applied to the multimodal public transport system of Zürich, Switzerland. Our results show that different information dissemination strategies have a large impact on direct and indirect effects. By earlier information dissemination, the direct effects get milder but larger in space, and indirect negative effects arise. The scenarios with the least information instead are very strongly affecting few passengers, while the less negative indirect effect for the rest of the network.

Design of a Mechatronic Drive Train with Regenerative Braking

2011 ◽  
Vol 110-116 ◽  
pp. 5111-5117 ◽  
Author(s):  
S. Veera Ragavan ◽  
Jeya Mithra Kumar ◽  
S.G. Ponnambalam
Keyword(s):  
Energy Savings ◽  
Real Life ◽  
Test System ◽  
Regenerative Braking ◽  
Light Weight ◽  
Braking System ◽  
Hydraulic Hybrid ◽  
Experimental Implementation ◽  
System Components ◽  
Weight Test

Building a research framework for a Parallel Hydraulic Hybrid (PHH) Prototype with Hydraulic Regenerative Braking and Launch Assist (HRB/HLA) System for small and medium sized vehicles has been attempted. The objective of this work is to capture lost Kinetic Energy during braking and store that captured energy in a pressurized accumulator to be used again to assist accleration. The experimental implementation and validation of the Regenerative Braking System concept for light vehicles has been done using a go-kart powered by a single cylinder Honda engine to demonstrate energy savings in a real life braking scenario. A light weight test system accommodating all the Hydraulic Breaking System components mounted at the rear of the go-kart has been successfully built and tested.

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