12,649 research outputs found
Towards Agent-based Large-scale Decision Support System: The Effect of Facilitator
Good discussions are essential for group decisions, especially when the number of people in thea group has many people is large. So, it is important to Pprovidinge good support is critical for having establishing and maintaining coherent discussions that avoid some of thesuch anti-social bad behaviors, like as flaming, that have, which has been observed in some large discussion groups. We have developed a large-scale online decision support system that has facilitator support functions, and deployed it in case studies for several real-world online discussion supports as case studies. In this paper, weWe propose a facilitator-mediated online discussion model in order to lead discussions to in a better direction for ato reach decisions. Our extreme ultimate goal is an to realize automated facilitator agent that can adequately leadhelp participants to achieve reach reasonable decisions. In reality, online discussion is often fails plagued byinto flaming, , which is the act of posting or sending offensive messages during a discussion. Such flaming phenomena have been focused on as anti-social bad behavior of in online discussion forums. After several cases studies, we learned several lessons. Critically, The most important achievement is that in any all of our social experiments, no flaming has not been observed in our facilitator-mediated decision support system. Also, we obtained Our some insights also suggest in whichthat the social presence of a facilitator would have largegreatly aeffect for participantsâ behavior
Advanced Testing Chain Supporting the Validation of Smart Grid Systems and Technologies
New testing and development procedures and methods are needed to address
topics like power system stability, operation and control in the context of
grid integration of rapidly developing smart grid technologies. In this
context, individual testing of units and components has to be reconsidered and
appropriate testing procedures and methods need to be described and
implemented. This paper addresses these needs by proposing a holistic and
enhanced testing methodology that integrates simulation/software- and
hardware-based testing infrastructure. This approach presents the advantage of
a testing environment, which is very close to f i eld testing, includes the
grid dynamic behavior feedback and is risks-free for the power system, for the
equipment under test and for the personnel executing the tests. Furthermore,
this paper gives an overview of successful implementation of the proposed
testing approach within different testing infrastructure available at the
premises of different research institutes in Europe.Comment: 2018 IEEE Workshop on Complexity in Engineering (COMPENG
ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems
Smart energy solutions aim to modify and optimise the operation of existing energy infrastructure. Such cyber-physical technology must be mature before deployment to the actual infrastructure, and competitive solutions will have to be compliant to standards still under development. Achieving this technology readiness and harmonisation requires reproducible experiments and appropriately realistic testing environments. Such testbeds for multi-domain cyber-physical experiments are complex in and of themselves. This work addresses a method for the scoping and design of experiments where both testbed and solution each require detailed expertise. This empirical work first revisited present test description approaches, developed a newdescription method for cyber-physical energy systems testing, and matured it by means of user involvement. The new Holistic Test Description (HTD) method facilitates the conception, deconstruction and reproduction of complex experimental designs in the domains of cyber-physical energy systems. This work develops the background and motivation, offers a guideline and examples to the proposed approach, and summarises experience from three years of its application.This work received funding in the European Communityâs Horizon 2020 Program (H2020/2014â2020)
under project âERIGridâ (Grant Agreement No. 654113)
Exploring the Use of Virtual Worlds as a Scientific Research Platform: The Meta-Institute for Computational Astrophysics (MICA)
We describe the Meta-Institute for Computational Astrophysics (MICA), the
first professional scientific organization based exclusively in virtual worlds
(VWs). The goals of MICA are to explore the utility of the emerging VR and VWs
technologies for scientific and scholarly work in general, and to facilitate
and accelerate their adoption by the scientific research community. MICA itself
is an experiment in academic and scientific practices enabled by the immersive
VR technologies. We describe the current and planned activities and research
directions of MICA, and offer some thoughts as to what the future developments
in this arena may be.Comment: 15 pages, to appear in the refereed proceedings of "Facets of Virtual
Environments" (FaVE 2009), eds. F. Lehmann-Grube, J. Sablating, et al., ICST
Lecture Notes Ser., Berlin: Springer Verlag (2009); version with full
resolution color figures is available at
http://www.mica-vw.org/wiki/index.php/Publication
Calm before the storm: the challenges of cloud computing in digital forensics
Cloud computing is a rapidly evolving information technology (IT) phenomenon. Rather than procure, deploy and manage a physical IT infrastructure to host their software applications, organizations are increasingly deploying their infrastructure into remote, virtualized environments, often hosted and managed by third parties. This development has significant implications for digital forensic investigators, equipment vendors, law enforcement, as well as corporate compliance and audit departments (among others). Much of digital forensic practice assumes careful control and management of IT assets (particularly data storage) during the conduct of an investigation. This paper summarises the key aspects of cloud computing and analyses how established digital forensic procedures will be invalidated in this new environment. Several new research challenges addressing this changing context are also identified and discussed
Concurrency Platforms for Real-Time and Cyber-Physical Systems
Parallel processing is an important way to satisfy the increasingly demanding computational needs of modern real-time and cyber-physical systems, but existing parallel computing technologies primarily emphasize high-throughput and average-case performance metrics, which are largely unsuitable for direct application to real-time, safety-critical contexts. This work contrasts two concurrency platforms designed to achieve predictable worst case parallel performance for soft real-time workloads with millisecond periods and higher. One of these is then the basis for the CyberMech platform, which enables parallel real-time computing for a novel yet representative application called Real-Time Hybrid Simulation (RTHS). RTHS combines demanding parallel real-time computation with real-time simulation and control in an earthquake engineering laboratory environment, and results concerning RTHS characterize a reasonably comprehensive survey of parallel real-time computing in the static context, where the size, shape, timing constraints, and computational requirements of workloads are fixed prior to system runtime. Collectively, these contributions constitute the first published implementations and evaluations of general-purpose concurrency platforms for real-time and cyber-physical systems, explore two fundamentally different design spaces for such systems, and successfully demonstrate the utility and tradeoffs of parallel computing for statically determined real-time and cyber-physical systems
Performance Regulation and Tracking via Lookahead Simulation: Preliminary Results and Validation
This paper presents an approach to target tracking that is based on a
variable-gain integrator and the Newton-Raphson method for finding zeros of a
function. Its underscoring idea is the determination of the feedback law by
measurements of the system's output and estimation of its future state via
lookahead simulation. The resulting feedback law is generally nonlinear. We
first apply the proposed approach to tracking a constant reference by the
output of nonlinear memoryless plants. Then we extend it in a number of
directions, including the tracking of time-varying reference signals by
dynamic, possibly unstable systems. The approach is new hence its analysis is
preliminary, and theoretical results are derived for nonlinear memoryless
plants and linear dynamic plants. However, the setting for the controller does
not require the plant-system to be either linear or stable, and this is
verified by simulation of an inverted pendulum tracking a time-varying signal.
We also demonstrate results of laboratory experiments of controlling a platoon
of mobile robots.Comment: A modified version will appear in Proc. 56th IEEE Conf. on Decision
and Control, 201
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