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World Forum on Internet of Things

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

ISBN: (纸本)9781509041312

Autonomy is a key feature for sustainable operation of the Internet of Things (IoT), since the large deployment scale of IoT devices makes management a very challenging task. For that reason, energy efficiency has become a primary design consideration in emerging and future IoT solutions. Already, beaconing and discontinuous transmission/reception is included in the upcoming IoT standards to enable devices to duty cycle between the active and sleep states in order to save energy. In many cases however, this periodic mode of operation results in unnecessary wake-ups that greatly reduce energy efficiency. Event-based communication greatly outperforms periodic triggering in efficiency, since wake-ups occur only when particular events take place. The networking aspects of this promising approach are investigated herein with devices exchanging events for monitoring and control purposes. Both centralized optimal and distributed heuristic strategies are formulated to intelligently adjust the number of wake-up events in order to maximize energy efficiency. Extensive simulations are conducted to analyze the performance of the proposed strategies.

关键词： Event-based communication Networking Energy Efficiency Internet of Things

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Design of a Data Delay Compensation Technique Based on a Linear Predictor for Wide-Area Measurements

Design of a Data Delay Compensation Technique Based on a Lin...

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IEEE Power and Energy Society General Meeting

作者： Lazaros Zacharia Markos Asprou Elias Kyriakides Department of Electrical and Computer Engineering KIOS Research Center for Intelligent Systems and Networks University of Cyprus

ISBN: (纸本)9781509041695

The delay of Phasor Measurement Unit (PMU) measurements due to the communication network may affect the performance of real time applications accommodated in a Wide Area Monitoring and Control system. In order to mitigate the effect of the PMU measurement delays, a data delay compensation technique based on a linear predictor is proposed in this paper. The proposed method incorporates autocorrelation Linear Predictive Coding (LPC) to predict the future values of the measured signals and a data delay compensator to compensate the data delays actively. The proposed data delay compensation technique is applied to the IEEE 9-bus test system where it is indicated that the proposed method can compensate the data delays in wide area signals effectively.

关键词： Autocorrelation linear predictive coding Data delay compensation Phasor measurement unit Wide area measurements Phasor measurement units linear predictor Wide area measurement systems data delay area measurement networks(communications) area monitoring Linear Prediction Coding compensated control systems

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Blockage Effects on Joint Information & Energy Transfer in Directional Ad-Hoc Networks

Blockage Effects on Joint Information & Energy Transfer in D...

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European Signal Processing Conference

作者： Constantinos Psomas Ioannis Krikidis KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus

ISBN: (纸本)9781509018918

The impact of blockages in the performance of next generation wireless networks has recently attracted a lot of attention. In this case, the existence of blockages can provide performance gains as the aggregate interference at a receiver is reduced. Furthermore, the employment of directional antennas at the network's nodes can further boost the performance through the power gains which antenna directionality produces. However, the impact of blockages on wireless power transfer has not been investigated equally. In this paper, we consider a bipolar ad-hoc network where the nodes employ directional antennas and have simultaneous wireless information and power transfer capabilities. We study the effects of blockages and directionality on the energy harvested by a receiver and show that the performance gains from the existence of blockages can be adjusted in order to increase the average harvested energy.

关键词： SWIPT Power splitting Blockages Sectorized antennas Stochastic geometry random geometry BLOCKING power splitting Directive antennas Ad hoc networks Power gain antenna directionality Receivers network node Ganglia

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A congestion-free vehicle route reservation architecture

A congestion-free vehicle route reservation architecture

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Mediterranean Electrotechnical Conference

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

ISBN: (纸本)9781509000593

Big cities have to deal with the movement of thousands of vehicles that traverse through their streets every day. As traffic demand increase undesirable problems emerge including traffic congestion, which is becoming more serious day after day. Traffic congestion is an inherently difficult concept resulting to incrementally higher delays, pollution emissions, fuel waste and non-predictable traveling times. This work introduce a novel architecture that aims to control and manage the utilization of road transport networks aspire to prevent traffic congestion. Inspired by perimeter control approaches this architecture divides an urban area spatially and temporally into smaller regions. The capacity of each road segment within these regions is reserved by users on demand. A Road Site Unit (RSU) is responsible to schedule and manage reservations in such a way that vehicles traverse each region only through congestion free routes. The route reservation problem that suffices is formally derived using mathematical formulations and a real-time algorithm is developed to solve this problem. Preliminary simulation results demonstrate that the proposed architecture offers significant performance improvements in vehicle mobility compared to the current state of operation.

关键词： Route reservation architecture Congestion-free vehicle routing intelligent Transportation systems

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The q-Normalized Least Mean Square Algorithm

The q-Normalized Least Mean Square Algorithm

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International Conference on intelligent and Advanced systems

作者： A. U. Al-Saggaf U. M. Al-Saggaf M. Arif M. Moinuddin Center of Excellence in Intelligent Engineering Systems (CEIES) King Abdulaziz University Electrical & Computer Engineering Department Center of Excellence in Intelligent Engineering Systems (CEIES) King Abdulaziz University Electrical Engineering Department PAF KIET University

ISBN: (纸本)9781509008469

The Normalized Least Mean Square (NLMS) algorithm belongs to gradient class of adaptive algorithm which provides the solution to the slow convergence of the Least Mean Square (LMS) algorithm. Motivated by the recently explored q-gradient in the field of adaptive filtering, we developed here a q-gradient based NLMS algorithm. More specifically, we replace the conventional gradient by the q-gradient to derive the NLMS weight update recursion. We also provide a detailed mean-square-error (MSE) analysis of the proposed algorithm for both the transient and the steady-state scenarios. Consequently, we derive the closed form expressions for the MSE learning curve and the steady-state excess MSE (EMSE). Simulation results are provided to show the superiority of the proposed algorithm over the conventional NLMS algorithm and to validate the theoretical analysis.

关键词： Adaptive Filters Normalized LMS Q-Gradient Mean Square Error Analysis Excess Mean-square-error

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Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware

arXiv

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arXiv 2017年

作者： Kleyko, Denis Frady, E. Paxon Kheffache, Mansour Osipov, Evgeny The Redwood Center for Theoretical Neuroscience The University of California BerkeleyCA94720 United States Intelligent Systems Lab Research Institutes of Sweden Kista164 40 Sweden Netlight Consulting AB Stockholm111 53 Sweden The Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå971 87 Sweden

We propose an approximation of Echo State Networks (ESN) that can be efficiently implemented on digital hardware based on the mathematics of hyperdimensional computing. The reservoir of the proposed integer Echo State Network (intESN) is a vector containing only n-bits integers (where n Copyright © 2017, The Authors. All rights reserved.

关键词： Computational efficiency

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Publisher Correction: Brain charts for the human lifespan

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Nature 2022年第7931期610卷 E6页

作者： R A I Bethlehem J Seidlitz S R White J W Vogel K M Anderson C Adamson S Adler G S Alexopoulos E Anagnostou A Areces-Gonzalez D E Astle B Auyeung M Ayub J Bae G Ball S Baron-Cohen R Beare S A Bedford V Benegal F Beyer J Blangero M Blesa Cábez J P Boardman M Borzage J F Bosch-Bayard N Bourke V D Calhoun M M Chakravarty C Chen C Chertavian G Chetelat Y S Chong J H Cole A Corvin M Costantino E Courchesne F Crivello V L Cropley J Crosbie N Crossley M Delarue R Delorme S Desrivieres G A Devenyi M A Di Biase R Dolan K A Donald G Donohoe K Dunlop A D Edwards J T Elison C T Ellis J A Elman L Eyler D A Fair E Feczko P C Fletcher P Fonagy C E Franz L Galan-Garcia A Gholipour J Giedd J H Gilmore D C Glahn I M Goodyer P E Grant N A Groenewold F M Gunning R E Gur R C Gur C F Hammill O Hansson T Hedden A Heinz R N Henson K Heuer J Hoare B Holla A J Holmes R Holt H Huang K Im J Ipser C R Jack A P Jackowski T Jia K A Johnson P B Jones D T Jones R S Kahn H Karlsson L Karlsson R Kawashima E A Kelley S Kern K W Kim M G Kitzbichler W S Kremen F Lalonde B Landeau S Lee J Lerch J D Lewis J Li W Liao C Liston M V Lombardo J Lv C Lynch T T Mallard M Marcelis R D Markello S R Mathias B Mazoyer P McGuire M J Meaney A Mechelli N Medic B Misic S E Morgan D Mothersill J Nigg M Q W Ong C Ortinau R Ossenkoppele M Ouyang L Palaniyappan L Paly P M Pan C Pantelis M M Park T Paus Z Pausova D Paz-Linares A Pichet Binette K Pierce X Qian J Qiu A Qiu A Raznahan T Rittman A Rodrigue C K Rollins R Romero-Garcia L Ronan M D Rosenberg D H Rowitch G A Salum T D Satterthwaite H L Schaare R J Schachar A P Schultz G Schumann M Schöll D Sharp R T Shinohara I Skoog C D Smyser R A Sperling D J Stein A Stolicyn J Suckling G Sullivan Y Taki B Thyreau R Toro N Traut K A Tsvetanov N B Turk-Browne J J Tuulari C Tzourio É Vachon-Presseau M J Valdes-Sosa P A Valdes-Sosa S L Valk T van Amelsvoort S N Vandekar L Vasung L W Victoria S Villeneuve A Villringer P E Vértes K Wagstyl Y S Wang S K Warfield V Warrier E Westman M L Westwater H C Whalley A V Witte N Yang B Yeo H Y Autism Research Centre Department of Psychiatry University of Cambridge Cambridge UK. rb643@medschl.cam.ac.uk. Brain Mapping Unit Department of Psychiatry University of Cambridge Cambridge UK. rb643@medschl.cam.ac.uk. Department of Psychiatry University of Pennsylvania Philadelphia PA USA. jakob.seidlitz@pennmedicine.upenn.edu. Department of Child and Adolescent Psychiatry and Behavioral Science The Children's Hospital of Philadelphia Philadelphia PA USA. jakob.seidlitz@pennmedicine.upenn.edu. Lifespan Brain Institute The Children's Hospital of Philadelphia and Penn Medicine Philadelphia PA USA. jakob.seidlitz@pennmedicine.upenn.edu. Department of Psychiatry University of Cambridge Cambridge UK. MRC Biostatistics Unit University of Cambridge Cambridge UK. Department of Psychiatry University of Pennsylvania Philadelphia PA USA. Lifespan Informatics & Neuroimaging Center University of Pennsylvania Philadelphia PA USA. Department of Psychology Yale University New Haven CT USA. Developmental Imaging Murdoch Children's Research Institute Melbourne Victoria Australia. Department of Medicine Monash University Melbourne Victoria Australia. UCL Great Ormond Street Institute for Child Health London UK. Weill Cornell Institute of Geriatric Psychiatry Department of Psychiatry Weill Cornell Medicine New York USA. Department of Pediatrics University of Toronto Toronto Canada. Holland Bloorview Kids Rehabilitation Hospital Toronto Canada. The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroInformation University of Electronic Science and Technology of China Chengdu China. University of Pinar del Río "Hermanos Saiz Montes de Oca" Pinar del Río Cuba. MRC Cognition and Brain Sciences Unit University of Cambridge Cambridge UK. Autism Research Centre Department of Psychiatry University of Cambridge Cambridge UK. Department of Psychology School of Philosophy Psychology and Language Sciences University of Edinburgh Edinburgh UK. Queen's

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Design of Optimum Error Nonlinearity for Channel Estimation in the Presence of Class-A Impulsive Noise

Design of Optimum Error Nonlinearity for Channel Estimation ...

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International Conference on intelligent and Advanced systems

作者： M. Arif M. Moinuddin I. Naseem U. M. Al-Saggaf Electrical Engineering Department PAF KIET University Electrical & Computer Engineering Department Center of Excellence in Intelligent Engineering Systems (CEIES) King Abdulaziz University

ISBN: (纸本)9781509008469

In this work an optimum error nonlinearity is derived for the channel estimation in the existence of class-A impulsive noise. The main idea of the design is based on minimizing the steady-state error to reach the limit dictated by the Cramer-Rao Lower Bound (CRLB) of the implicit estimation process. By using the proposed method, optimum error nonlinearity is devised for long adaptive filters without employing any assumption on the distribution input regressor constituents and on the noise distribution, independence input regressor assumption and any kind of linearization. Moreover, to implement the proposed design, two different methods for estimating the variance of a priori estimation error are developed. Furthermore, an intelligent switching mechanism is also introduced to efficiently utilize the designed optimum error non-linearity for the impulsive noise. The theoretical results are testify through simulations, to show the superiority of the designed optimum error nonlinearity.

关键词： Adaptive filtering Class-A impulsive noise Optimum nonlinearity Channel estimation

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Steps toward Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 345-348页

作者： Fei-Yue Wang Xiao Wang Lingxi Li Li Li IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) Research Center of Computational Experiments and Parallel Systems the National University of Defense Technology Qingdao Academy of Intelligent Industries (QAII) QingdaoShandongChinaand SKL-MCCSCASIA Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis Department of Automation Tsinghua University Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

The origin of artificial intelligence is investigated, based on which the concepts of hybrid intelligence and parallel intelligence are presented. The paradigm shift in Intelligence indicates the ''new normal'' of cyber-social-physical systems (CPSS), in which the system behaviors are guided by Merton's Laws. Thus, the ACP-based parallel intelligence consisting of Artificial societies, Computational experiments and Parallel execution are introduced to bridge the big modeling gap in CPSS. © 2014 Chinese Association of Automation.

关键词： Control systems electrical engineering

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A Cognitive Agent Architecture for Feedback Control Scheme Design

A Cognitive Agent Architecture for Feedback Control Scheme D...

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IEEE Symposium Series on Computational Intelligence

作者： Georgios M. Milis Demetrios G. Eliades Christos G. Panayiotou Marios M. Polycarpou KIOS Research Center for Intelligent Systems and Networks Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus

ISBN: (纸本)9781509042418

We present a novel architecture for the design of feedback control schemes, aiming to automate the cognitive process performed by human experts when designing control schemes for certain systems. The work starts with the identification of types of cyber-physical modules participating in a feedback control scheme. Each module is defined as a functional mapping between inputs-vectors and an output vector. The inputs and outputs are then mapped to a semantic space formed by linguistic variables that model the expert knowledge. These semantic annotations of the modules are then exploited by a Cognitive Agent with semantic reasoning capabilities, to achieve the online configuration of a feedback control scheme, given a set of specifications and a database of available modules' implementations. The adopted knowledge modelling and reasoning techniques are driven by past efforts of the World Wide Web Consortium on the semantic composition of Web services. The applicability of the method is tested via a paper-based simulation of a use-case from the smart buildings domain.

关键词： architecture design feedback

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