Organic Network Control

2012 ◽  
pp. 11-35 ◽  
Author(s):  
Sven Tomforde ◽  
Jörg Hähner
Keyword(s):  
Evolutionary Algorithms ◽  
Network Control ◽  
Changing Environment ◽  
Automatic Adaptation ◽  
Future Work

In this chapter, we present the Organic Network Control (ONC) architecture, which is based on a three-layered Observer/Controller-Architecture and the usage of Evolutionary Algorithms. Without touching the internal behavior of the protocol itself, this approach allows for the automatic adaptation of protocol parameters towards a changing environment at runtime. Based on the background of related work, we will first describe the generic ONC architecture, followed by a step by step description of how to apply this concept to an existing system. Two examples are explained of how ONC can be applied to existing protocols and what effect this application has on the system’s performance. Finally, the chapter concludes with an outline of current and future work and a summary of the concept.

Research on the Application of Co-Evolutionary Algorithms in Automated Negotiation

2012 ◽  
Vol 532-533 ◽  
pp. 1522-1526
Author(s):  
Qiang Xu ◽  
Yong Yuan ◽  
Feng Zhang
Keyword(s):  
Evolutionary Algorithms ◽  
Research Field ◽  
Automated Negotiation ◽  
Research Directions ◽  
The Future ◽  
Basic Ideas ◽  
Future Work

Automated negotiation based on co-evolutionary algorithms is an emerging research field in recent years. This paper introduced the basic ideas of evolutionary and co-evolutionary algorithms, and discussed the main theories and approaches in the research of automated negotiation based on co-evolutionary algorithms. The five key elements in simulation of negotiation experiments are also presented in detail. Finally, the future work and research directions are pointed out.

scholarly journals Models of communication and control for brain networks: distinctions, convergence, and future outlook

2020 ◽  
Vol 4 (4) ◽  
pp. 1122-1159 ◽  
Author(s):  
Pragya Srivastava ◽  
Erfan Nozari ◽  
Jason Z. Kim ◽  
Harang Ju ◽  
Dale Zhou ◽  
...  
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Computational Models ◽  
Critical Role ◽  
Brain Networks ◽  
Signal Propagation ◽  
Network Control ◽  
And Control ◽  
Future Work

Recent advances in computational models of signal propagation and routing in the human brain have underscored the critical role of white-matter structure. A complementary approach has utilized the framework of network control theory to better understand how white matter constrains the manner in which a region or set of regions can direct or control the activity of other regions. Despite the potential for both of these approaches to enhance our understanding of the role of network structure in brain function, little work has sought to understand the relations between them. Here, we seek to explicitly bridge computational models of communication and principles of network control in a conceptual review of the current literature. By drawing comparisons between communication and control models in terms of the level of abstraction, the dynamical complexity, the dependence on network attributes, and the interplay of multiple spatiotemporal scales, we highlight the convergence of and distinctions between the two frameworks. Based on the understanding of the intertwined nature of communication and control in human brain networks, this work provides an integrative perspective for the field and outlines exciting directions for future work.

scholarly journals Software-defined networks: A walkthrough guide from occurrence To data plane fault tolerance

2019 ◽  
Author(s):  
Ali Malik ◽  
Benjamin Aziz ◽  
Ali Al-Haj ◽  
Mo Adda
Keyword(s):  
Fault Tolerance ◽  
Service Providers ◽  
Academic Research ◽  
Software Defined Networking ◽  
Network Control ◽  
Programmable Networks ◽  
Current State ◽  
Data Plane ◽  
Future Work ◽  
Near Future

In recent years, the emerging paradigm of software-defined networking has become a hot and thriving topic that grabbed the attention of industry sector as well as the academic research community. The decoupling between the network control and data planes means that software-defined networking architecture is programmable, adjustable and dynamically re-configurable. As a result, a large number of leading companies across the world have latterly launched software-defined solutions in their data centers and it is expected that most of the service providers will do so in the near future due to the new opportunities enabled by software-defined architectures. Nonetheless, each emerging technology is accompanied by new issues and concerns, and fault tolerance and recovery is one such issue that faces software-defined networking. Although there have been numerous studies that have discussed this issue, gaps still exist and need to be highlighted. In this paper, we start by tracing the evolution of networking systems from the mid 1990's until the emergence of programmable networks and software-defined networking, and then define a taxonomy for software-defined networking dependability by means of fault tolerance of data plane to cover all aspects, challenges and factors that need to be considered in future solutions. We discuss in a detailed manner current state-of-the-art literature in this area. Finally, we analyse the current gaps in current research and propose possible directions for future work.

Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art

2000 ◽  
Vol 8 (2) ◽  
pp. 125-147 ◽  
Author(s):  
David A. Van Veldhuizen ◽  
Gary B. Lamont
Keyword(s):  
Evolutionary Algorithms ◽  
Optimization Problems ◽  
Fitness Functions ◽  
Fitness Sharing ◽  
Pareto Ranking ◽  
Multiobjective Optimization Problems ◽  
Conflicting Objectives ◽  
Generic Class ◽  
Mating Restriction ◽  
Future Work

Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied during the mid-eighties in an attempt to stochastically solve problems of this generic class. During the past decade, a variety of multiobjective EA (MOEA) techniques have been proposed and applied to many scientific and engineering applications. Our discussion's intent is to rigorously define multiobjective optimization problems and certain related concepts, present an MOEA classification scheme, and evaluate the variety of contemporary MOEAs. Current MOEA theoretical developments are evaluated; specific topics addressed include fitness functions, Pareto ranking, niching, fitness sharing, mating restriction, and secondary populations. Since the development and application of MOEAs is a dynamic and rapidly growing activity, we focus on key analytical insights based upon critical MOEA evaluation of current research and applications. Recommended MOEA designs are presented, along with conclusions and recommendations for future work.

scholarly journals Software-defined networks: A walkthrough guide from occurrence To data plane fault tolerance

2019 ◽  
Author(s):  
Ali Malik ◽  
Benjamin Aziz ◽  
Ali Al-Haj ◽  
Mo Adda
Keyword(s):  
Fault Tolerance ◽  
Service Providers ◽  
Academic Research ◽  
Software Defined Networking ◽  
Network Control ◽  
Programmable Networks ◽  
Current State ◽  
Data Plane ◽  
Future Work ◽  
Near Future

In recent years, the emerging paradigm of software-defined networking has become a hot and thriving topic that grabbed the attention of industry sector as well as the academic research community. The decoupling between the network control and data planes means that software-defined networking architecture is programmable, adjustable and dynamically re-configurable. As a result, a large number of leading companies across the world have latterly launched software-defined solutions in their data centers and it is expected that most of the service providers will do so in the near future due to the new opportunities enabled by software-defined architectures. Nonetheless, each emerging technology is accompanied by new issues and concerns, and fault tolerance and recovery is one such issue that faces software-defined networking. Although there have been numerous studies that have discussed this issue, gaps still exist and need to be highlighted. In this paper, we start by tracing the evolution of networking systems from the mid 1990's until the emergence of programmable networks and software-defined networking, and then define a taxonomy for software-defined networking dependability by means of fault tolerance of data plane to cover all aspects, challenges and factors that need to be considered in future solutions. We discuss in a detailed manner current state-of-the-art literature in this area. Finally, we analyse the current gaps in current research and propose possible directions for future work.

Present status of radio astrometry with baselines ≤ 35 km

1978 ◽  
Vol 48 ◽  
pp. 175-178 ◽  
Author(s):  
K. J. Johnston
Keyword(s):  
Present Status ◽  
Future Work

A summary of results for radio astrometry with baselines ≤ 35 km and priorities for future work are given.

A Phonomotor Approach to Apraxia of Speech Treatment

2020 ◽  
Vol 29 (4) ◽  
pp. 2109-2130
Author(s):  
Lauren Bislick
Keyword(s):  
Phase I ◽  
Treatment Effects ◽  
Single Case ◽  
Motor Planning ◽  
The Other ◽  
Multimodal Approach ◽  
Apraxia Of Speech ◽  
Duration Of Treatment ◽  
Treatment Gains ◽  
Future Work

Purpose This study continued Phase I investigation of a modified Phonomotor Treatment (PMT) Program on motor planning in two individuals with apraxia of speech (AOS) and aphasia and, with support from prior work, refined Phase I methodology for treatment intensity and duration, a measure of communicative participation, and the use of effect size benchmarks specific to AOS. Method A single-case experimental design with multiple baselines across behaviors and participants was used to examine acquisition, generalization, and maintenance of treatment effects 8–10 weeks posttreatment. Treatment was distributed 3 days a week, and duration of treatment was specific to each participant (criterion based). Experimental stimuli consisted of target sounds or clusters embedded nonwords and real words, specific to each participants' deficit. Results Findings show improved repetition accuracy for targets in trained nonwords, generalization to targets in untrained nonwords and real words, and maintenance of treatment effects at 10 weeks posttreatment for one participant and more variable outcomes for the other participant. Conclusions Results indicate that a modified version of PMT can promote generalization and maintenance of treatment gains for trained speech targets via a multimodal approach emphasizing repeated exposure and practice. While these results are promising, the frequent co-occurrence of AOS and aphasia warrants a treatment that addresses both motor planning and linguistic deficits. Thus, the application of traditional PMT with participant-specific modifications for AOS embedded into the treatment program may be a more effective approach. Future work will continue to examine and maximize improvements in motor planning, while also treating anomia in aphasia.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Psychology in Outerspace

2010 ◽  
Vol 15 (3) ◽  
pp. 220-228 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Manal Shafi
Keyword(s):  
Individual Difference ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Political Orientation ◽  
Equation Modeling ◽  
Big Five Personality ◽  
Social Conformity ◽  
Extraterrestrial Life ◽  
Paranormal Beliefs ◽  
Future Work

Previous work has shown that is important to consider the disjunction between paranormal and nonparanormal beliefs about extraterrestrial life. The current study examined the association between both such beliefs and individual difference and demographic variables. A total of 555 British participants completed the Extraterrestrial Beliefs Scale, as well as measures of their Big Five personality scores, social conformity, sensation seeking, and demographics. Results showed no sex differences in ratings of paranormal and nonparanormal extraterrestrial beliefs, but participants rated nonparanormal beliefs more positively than paranormal beliefs. Results of structural equation modeling showed that individual difference factors (specifically, Openness, Conscientiousness, and social conformity) explained 21% of the variance in extraterrestrial beliefs, whereas demographic factors (specifically, education level, political orientation, and religiosity) explained 16% of the variance. Limitations and directions for future work are considered.

Sign in / Sign up

Export Citation Format

Share Document