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International IEEE Conference on intelligent Transportation systems

作者： C. Menelaou P. Kolios S. Timotheou C.G. Panayiotou the KIOS Research Center for Intelligent Systems and Networks and the Department of Electrical and Computer Engineering University of Cyprus

ISBN: (纸本)9781467365970

Traffic congestion in big cities has been proven to be a difficult problem with adverse effects in terms of driver delay and frustration, cost and impact to the environment. Motivated by the approaches used in air-traffic control, this work investigates a method for controlling traffic congestion using time-dependent route reservation. The advances in information, communication and computation technologies has made such a reservation strategy feasible. This paper illustrates that the new reservation strategy is scalable and can be applied even to large metropolitan areas. To do so, we decompose the road network spatially and temporarily and propose a vehicle scheduling and routing algorithm which completely eliminate congestion. Simulation results show that the proposed approach is very promising.

关键词： driver delay frustration advances in information

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Event-based communication for IoT networking

Event-based communication for IoT networking

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IEEE World Forum on Internet of Things (WF-IoT)

作者： Panayiotis Kolios Christos Panayiotou Georgios Ellinas Marios Polycarpou KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus

ISBN: (纸本)9781509003679

In the Internet of Things (IoT), smart devices embedded on a myriad of different objects will enable monitoring, control, and optimization with potentially transformative impact to the society. Evidently, operational efficiency has become an essential factor in the proliferation of these devices since higher efficiency will prolong device lifetime and achieve greater autonomy. In this work, the operational efficiency challenge is being looked at from the device point of view as well as from the networking side of things in which local and remote hosts need to exchange information for monitoring, control, and optimization functionalities. In the former case, a data-driven event triggering technique is developed to minimize the interaction between devices, while in the latter case an event-based communication strategy is investigated to minimize the overall energy consumption of the network. Both experimental results and results for a real-world application are presented to demonstrate the many-fold operational efficiency gains that can be realized using the proposed solution.

关键词： Monitoring Optimization Mathematical model Computational modeling Energy consumption Feature extraction Data mining

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Real-Time Identification of Coherent Generator Groups

Real-Time Identification of Coherent Generator Groups

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IEEE Eindhoven PowerTech Conference

作者： Panayiotis Demetriou Lenos Hadjidemetriou Alexis Kyriacou Elias Kyriakides Christos Panayiotou Department of Electrical and Computer Engineering KIOS Research Center for Intelligent Systems and Networks University of Cyprus Nicosia Cyprus

This paper presents a two-step approach for defining coherent generators in disturbed power systems based on the similarity among their inter-area oscillations and swing curves. In the first step, an online visualization of the generator swing curves is performed by extracting time domain solutions of the swing equation using PMU measurements. In the second step, the similarity between each pair of the generator swing curves is examined based on an intraclass correlation analysis. The pairwise similarity coefficients obtained are served as edge's weights to a fully connected graph. The grouping of the coherent generators is completed through a graph minimization algorithm. The proposed methodology is applied to the 39-Bus New England System and coherent generators are obtained for different operating points to provide a more accurate and realistic grouping.

关键词： Coherency identification Generator swing curves Intraclass correlation analysis Real-time control

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In-field vulnerability analysis of hardware-accelerated computer vision applications

In-field vulnerability analysis of hardware-accelerated comp...

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International Conference on Field Programmable Logic and Applications

作者： I. Chadjiminas C. Kyrkou T. Theocharides M. K. Michael C. Ttofis Department of Electrical and Computer Engineering KIOS Research Center for Intelligent Systems and Networks University of Cyprus Nicosia Cyprus ACC Innovations Ltd Nicosia Cyprus

In this paper, we propose an FPGA-based emulation framework that can provide dynamic vulnerability analysis for hardware-accelerated computer vision applications. The framework can be integrated alongside the targeted application, to allow for run-time, in-field, dynamically adjusted vulnerability analysis in real-world conditions, taking into consideration the non-deterministic parameters of the computer vision algorithm computations. We evaluate the proposed framework in real-time using an FPGA platform, for an obstacle avoidance (OA) computer vision application and its disparity estimation kernel to study the impact of Single-Event Upsets (SEUs).

关键词： Circuit faults Registers computer vision Collision avoidance Kernel Field programmable gate arrays Decoding

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[email protected] : Analysis and results of evolving competitions for domestic and service robots

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Artificial Intelligence 2015年 229卷 258-281页

作者： Luca Iocchi Dirk Holz Javier Ruiz-del-Solar Komei Sugiura Tijn van der Zant Department of Computer Control and Management Engineering Sapienza University of Rome Italy Autonomous Intelligent Systems Group University of Bonn Germany Department of Electrical Engineering & Advanced Mining Technology Center Universidad de Chile Chile Information Services Platform Laboratory National Institute of Information and Communications Technology Japan Cognitive Robotics Laboratory University of Groningen The Netherlands

Scientific competitions are becoming more common in many research areas of artificial intelligence and robotics, since they provide a shared testbed for comparing different solutions and enable the exchange of research results. Moreover, they are interesting for general audiences and industries. Currently, many major research areas in artificial intelligence and robotics are organizing multiple-year competitions that are typically associated with scientific conferences. One important aspect of such competitions is that they are organized for many years. This introduces a temporal evolution that is interesting to analyze. However, the problem of evaluating a competition over many years remains unaddressed. We believe that this issue is critical to properly fuel changes over the years and measure the results of these decisions. Therefore, this article focuses on the analysis and the results of evolving competitions. In this article, we present the [email protected] competition, which is the largest worldwide competition for domestic service robots, and evaluate its progress over the past seven years. We show how the definition of a proper scoring system allows for desired functionalities to be related to tasks and how the resulting analysis fuels subsequent changes to achieve general and robust solutions implemented by the teams. Our results show not only the steadily increasing complexity of the tasks that [email protected] robots can solve but also the increased performance for all of the functionalities addressed in the competition. We believe that the methodology used in [email protected] for evaluating competition advances and for stimulating changes can be applied and extended to other robotic competitions as well as to multi-year research projects involving Artificial Intelligence and robotics.

关键词： Robotic competitions Artificial intelligence and robotics Benchmarking

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Distributed Adaptive Fault-Tolerant Control of Nonlinear Uncertain Second-order Multi-agent systems

Distributed Adaptive Fault-Tolerant Control of Nonlinear Unc...

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IEEE Annual Conference on Decision and Control

作者： Mohsen Khalili Xiaodong Zhang Yongcan Cao Marios M. Polycarpou Thomas Parisini Department of Electrical Engineering Wright State University Dayton OH 45435 USA Department of Electrical and Computer Engineering University of Texas San Antonio 78249 USA KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Imperial College London and University of Trieste

ISBN: (纸本)9781479978878

This paper presents an adaptive fault-tolerant control (FTC) scheme for a class of nonlinear uncertain second-order multi-agent systems. A local FTC component is designed for each agent in the distributed system by using local measurements and suitable information exchanged between neighboring agents. Each local FTC component consists of a fault diagnosis module and a reconfigurable controller module comprised of a baseline controller and two adaptive fault-tolerant controllers activated after fault detection and after fault isolation, respectively. Under suitable assumptions, the closed-loop stability and leader-follower formation properties of the distributed system are rigorously established under different operating modes of the FTC system, including the time-period before possible fault detection, between fault detection and possible isolation, and after fault isolation.

关键词： Fault tolerance Fault tolerant systems Multi-agent systems Fault diagnosis Yttrium Uncertainty Fault detection

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Exploring green interference power for wireless information and energy transfer in the MISO downlink

Exploring green interference power for wireless information ...

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IEEE International Conference on Communications (ICC)

作者： Gan Zheng Christos Masouros Ioannis Krikidis Stelios Timotheou School of Computer Science and Electronic Engineering University of Essex Colchester UK T Department of Electronic & Electrical Engineering University College London Torrington Place London Department of Electrical and Computer Engineering University of Cyprus Cyprus KIOS Research Center for Intelligent Systems and Networks University of Cyprus Cyprus

In this paper we propose a power-efficient transfer of information and energy, where we exploit the constructive part of wireless interference as a source of green useful signal power. Rather than suppressing interference as in conventional schemes, we take advantage of constructive interference among users, inherent in the downlink, as a source of both useful information and wireless energy. Specifically, we propose a new precoding design that minimizes the transmit power while guaranteeing the quality of service (QoS) and energy harvesting constraints for generic phase shift keying modulated signals. The QoS constraints are modified to accommodate constructive interference. We derive a sub-optimal solution and a local optimum solution to the precoding optimization problem. The proposed precoding reduces the transmit power compared to conventional schemes, by adapting the constraints to accommodate constructive interference as a source of useful signal power. Our simulation results show significant power savings with the proposed data-aided precoding compared to the conventional precoding.

关键词： Interference Signal to noise ratio Wireless communication Energy exchange Quality of service Energy harvesting Phase shift keying

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Improving the Reliability of Emergency Response Networks using RevolverNet

Improving the Reliability of Emergency Response Networks usi...

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11th Workshop on Positioning, Navigation and Communication (WPNC)

作者： Kolios, Panayiotis Laoudias, Christos Panayiotou, Christos KIOS Research Center for Intelligent Systems and Networks and the Department of Electrical and Computer Engineering University of Cyprus|c|

ISBN: (纸本)9781479946716

RevolverNet, operates over wireless ad-hoc networks where nodes communicate in duty cycles. When not at sleep, nodes beacon their own data and listen for data coming from neighboring nodes. Importantly, this mode of operation is increasingly becoming a prominent feature in a variety of communication setups, including emergency response networks (ERNs). RevolverNet is purposefully designed to take advantage of these beaconing mechanisms to gather network intelligence and achieve data dissemination in a purely distributed and local fashion. We examine two favourable features of RevolverNet that are attractive to ERNs, namely topological mapping and node localization that are highly applicable to ERNs. We show how these two features can be extracted from the underlying adhoc network in an efficient manner and how they can subsequently be used to disseminate information in the network. We present preliminary results on the performance of RevolverNet and discuss future work.

关键词： Ad hoc Networks Wireless Beaconing Emergency Response Intelligence Gathering Data Dissemination

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Robotic Software System for the Disaster Circumstances: System of Team KAIST in the DARPA robotics Challenge Finals

Robotic Software System for the Disaster Circumstances: Syst...

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IEEE-RAS International Conference on Humanoid Robots

作者： Jeongsoo Lim Inwook Shim Okkee Sim Hyunmin Joe Inhyeok Kim Jungho Lee Jun-Ho Oh Humanoid Research Center School of Mechanical Aerospace & Systems Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Robotics and Computer Vision Laboratory Department of Electrical Engineering College of Information Science and Technology Korea Advanced Institute of Science and Technology Rainbow Co.

ISBN: (纸本)9781479968862

We developed a software system for operating the humanoid robot DRC-HUBO+ in disaster circumstances that the US Defense Advanced Research Projects Agency suggested. This system was developed under the consideration of the stability of whole system, the systemic software environment for multiple developers, and the recovery routine when the system encounters a seriously abnormal situation. With these design goals, we devised our strategy for three domains: system, vision, and communication. Following the strategy we made two software frameworks (PODO and VPC) and one logical flow of data for remote process management. With this software system, we conducted all Tasks in the DARPA robotics Challenge Finals, and we won the competition.

关键词： Software systems DARPA design target robotics Disasters Religious Missions flow datas

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