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15th IFIP/IEEE International Symposium on Integrated Network and Service Management, IM 2017

作者： Van Rossem, Steven Cai, Xuejun Cerratoz, Ivano Danielsson, Per Németh, Felicián Pechenot, Bertrand Pelle, István Risso, Fulvio Sharma, Sachin Sköldström, Pontus John, Wolfgang Ghent University - Imec Belgium Ericsson Research Cloud Technologies Sweden Politecnico di Torino Dept. of Control and Computer Engineering Italy SICS Swedish ICT AB Sweden Budapest University of Technology and Economics Hungary Acreo Swedish ICT AB Sweden

ISBN: (纸本)9783901882890

Next generation network services will be realized by NFV-based microservices to enable greater dynamics in deployment and operations. Here, we present a demonstrator that realizes this concept using the NFV platform built in the EU FP7 project UNIFY. Using the example of an Elastic Router service, we show automated deployment and configuration of service components as well as corresponding monitoring components facilitating automated scaling of the entire service. We also demonstrate automatic execution of troubleshooting and debugging actions. Operations of the service are inspired by DevOps principles, enabling quick detection of operational conditions and fast corrective actions. This demo conveys essential insights on how the life-cycle of an NFV-based network service may be realized in future NFV platforms. © 2017 IFIP.

关键词： Life cycle

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Automatic microtubule tracking in fluorescence images of cells doped with increasing concentrations of taxol and nocodazole

arXiv

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arXiv 2018年

作者： Varrecchia, Marilena Levine, Joshua Olmo, Gabriella Grangetto, Marco Gai, Marta Di Cunto, Ferdinando Dept. of Control and Computing Engineering Politecnico di Torino Corso Duca degli Abruzzi 24 Torino Italy Computer Science Dept. Corso Svizzera 185 Torino Italy Department of Molecular Biotechnology and Health Sciences University of Torino Via Nizza 52 Torino Italy Neuroscience Institute Cavalieri Ottolenghi University of Torino c.o. Azienda Ospedaliero-Universitaria San Luigi Gonzaga Regione Gonzole 10 Orbassano Italy

In this paper we explore detection and tracking of astral microtubules, a sub-population of microtubules which only exists during and immediately before mitosis and aids in the spindle orientation by connecting it to the cell cortex. Its analysis can be useful to determine the presence of certain diseases, such as brain pathologies and cancer. The proposed algorithm focuses on overcoming the problems regarding fluorescence microscopy images and microtubule behaviour by using various image processing techniques and is then compared with three existing algorithms, tested on consistent sets of images. Copyright © 2018, The Authors. All rights reserved.

关键词： Fluorescence microscopy

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Data mining for better healthcare: A path towards automated data analysis? 32

Data mining for better healthcare: A path towards automated ...

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32nd IEEE International Conference on Data engineering Workshops, ICDEW 2016

作者： Cerquitelli, Tania Baralis, Elena Morra, Lia Chiusano, Silvia Control and Computer Engineering Dept. Politecnico di Torino Italy

ISBN: (纸本)9781509021086

In today's world, large volumes of medical data are being continuously generated, but their value is severely undermined by our inability to translate them into knowledge and, ultimately, actions. Data mining techniques allow the extraction of previously unknown interesting patterns from large datasets, but their complexity limits their practical diffusion. Data-driven analysis is a multi-step process, in which health care professionals define analysis goals and assess extracted knowledge, while computer scientists tackle the non trivial task of driving the miner system analysis activity. This paper addresses the mining activity from a different perspective. We believe that mining systems should be able to devise which knowledge could be most interesting to users and extract actionable knowledge from large medical datasets, with minimal user intervention. More specifically, mining systems should be capable of (i) devising viable end-goals for a specific dataset (i.e., that yield actionable knowledge to the user and are feasible given the dataset characteristics and size), based on the expertise acquired during the analysis of previous datasets, and (ii) extracting a manageable set of knowledge. Automated data analysis should fuel the next generation of medical mining systems, thus enabling users to automatically mine massive data repositories. © 2016 IEEE.

关键词： Health care

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D2L: Decentralized dictionary learning over dynamic networks

D2L: Decentralized dictionary learning over dynamic networks

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： A. Daneshmand Y. Sun G. Scutari F. Facchinei School of Industrial Engineering Purdue University West-Lafayette IN USA Dept. of Computer Control and Management Engineering University of Rome "La Sapienza" Italy

ISBN: (纸本)9781509041183

The paper studies a general class of distributed dictionary learning (DL) problems where the learning task is distributed over a multi-agent network with (possibly) time-varying (non-symmetric) connectivity. This setting is relevant, for instance, in scenarios where massive amounts of data are not collocated but collected/stored in different spatial locations. We develop a unified distributed algorithmic framework for this class of non-convex problems and establish its asymptotic convergence. The new method hinges on Successive Convex Approximation (SCA) techniques while leveraging a novel broadcast protocol to disseminate information and distribute the computation over the network, which neither requires the double-stochasticity of the consensus matrices nor the knowledge of the graph sequence to implement. To the best of our knowledge, this is the first distributed scheme with provable convergence for DL (and more generally bi-convex) problems, over (time-varying) digraphs.

关键词： Dictionary Learning distributed algorithms nonconvex optimization time-varying networks Time varying networks distributed algorithms dynamic network Dictionaries as Topic Distribute NETWORKING AGENT Non-Convex

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Mixed-sensitivity design of a dynamic controller for systems pre-compensated by input shapers

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IFAC-PapersOnLine 2017年第1期50卷 1304-1309页

作者： Pilbauer D. Michiels W. Vyhlídal T. Hromčík M. Department of Computer Science Katholieke Universiteit Leuven Celestijnenlaan 200A Heverlee B-3001 Belgium CIIRC - Czech Institute of Informatics Robotics and Cybernetics Dept. of Instrumentation and Control Eng. Faculty of Mechanical Engineering Czech Technical University in Prague Technická 4 166 07 Praha 6 Czech Republic M. Hromčík is with Deptartment of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technická 4 166 07 Praha 6 Czech Republic

We employ recent control design algorithms for delay systems to address the mixed sensitivity design of a dynamic controller for multiple degree of freedom systems interconnected with an inverse signal shaper. A delay based inverse shaper is included within a feedback loop in order to eliminate oscillatory modes due to an attached flexible substructure, which has been shown to be advantageous to inducing directly the filtering property by an appropriate controller design. Due to the presence of the inverse shaper, the closed loop dynamics become infinite dimensional. Furthermore we design fixed-order controllers, aiming at an easy implementation. As a consequence of these two features standard techniques from H-infinity control can no longer be used. We present a two-stage method, which firstly makes the closed-loop system asymptotically stable and, secondly, computes a low-order controller that minimizes the H-infinity norm of the weighted closed-loop transfer functions. The approach is grounded in recent methods for fixed-order H-infinity control of delay systems, and the delay-differential algebraic equations (DDAE) modelling and control framework. © 2017

关键词： H-infinity control inverse shapers spectral optimization time-delay

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Event-based selective control strategy for raceway reactor: A simulation study

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IFAC-PapersOnLine 2016年第7期49卷 478-483页

作者： Pawlowski, A. Frenández, I. Guzmán, J.L. Berenguel, M. Acién, F.G. Dormido, S. Dept. of Computer Science and Automatic Control UNED Madrid Spain Dept. of Computer Science University of Almería ceiA3 CIESOL Almería Spain Dept. of Chemical Engineering University of Almería ceiA3 CIESOL Almer´ia Spain

This work presents a simulation study of an event-based selective control strategy for a raceway reactor. The control system aims are to maintain simultaneously a pH and dissolved oxygen within specific limits. In the analyzed control scheme, the pH value is prioritized over the dissolved oxygen, since it has a critical influence on the process performance. Besides, the dissolved oxygen also influences the photosynthesis rate and should be kept within the limits. The control structure is evaluated through simulation, where a nonlinear model for microalgae culture in the raceway photobioreactor is used. Analysis of different configurations allows to determine the most adequate control system setup to achieve the desired goals. The obtained results show that combination of an event-based approach with selective control allows to increase the overall productivity as well as to address effective CO2utilization and aeration system energy minimization. © 2016

关键词： Dissolved oxygen Algae control systems Dissolution Microorganisms Dissolved oxygen control Micro algae PH control raceway reactor Selective control

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Defining a generic OR-VNFM interface for configuring network functions 5

Defining a generic OR-VNFM interface for configuring network...

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5th European Workshop on Software-Defined Networks, EWSDN 2016

作者： Pezzolla, Davide Cerrato, Ivano Risso, Fulvio Castellano, Gabriele Politecnico di Torino Dept. of Computer and Control Engineering Torino Italy

ISBN: (纸本)9781509061464

The ETSI model defines a generic architecture to deploy and configure virtual network functions. While many efforts from both academia and industry focus on the problem of deploying those virtual network functions, little attention has been given to the interface needed to configure such applications. This paper explores the problem of dynamically configuring virtual network functions and proposes an implementation for the ETSI MANO OR-VNFM interface that supports generic network functions by exploiting a message bus and YANG models. © 2016 IEEE.

关键词： Transfer functions

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Synchronized Cell-Balancing Charging of Supercapacitors

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IFAC-PapersOnLine 2017年第1期50卷 3338-3343页

作者： Li H. Peng J. He J. Huang Z. Pan J. School of Information Science and Engineering Central South University Changsha 410087 China Department of Computer Science University of Victoria Victoria V8P5C2 Canada Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Shanghai 200240 China

As a classical cell balancing solution in low-power supercapacitor applications, the switched resistor circuit is vulnerable to resistance deviation effects with existing cell balancing methods. In this paper, we propose a synchronized cell balancing method for switched resistor circuits based on the consensus theory and a cyber-physical approach, with the aim of synchronizing cell voltages before they are fully charged. It is shown that the proposed cell-balancing algorithm is robust to resistance deviation effects. Extensive simulations are provided to show the effectiveness of the proposed method. © 2017

关键词： Cell balancing Charging Consensus Cyber-physical systems Supercapacitors

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Neural networks for small scale ORC optimization

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Energy Procedia 2017年 129卷 34-41页

作者： Alessandro Massimiani Laura Palagi Enrico Sciubba Lorenzo Tocci Sapienza University of Rome Dept. of Computer Control and Management Engineering Via Ariosto 25 00185 Rome Italy Sapienza University of Rome Dept. Dept. of Mechanical and Aerospace Engineering Via Eudossiana 18 00184 Rome Italy Entropea Labs limited 2a Greenwood road E81AB London United Kingdom

This study concerns a thermodynamic and technical optimization of a small scale Organic Rankine Cycle system for waste heat recovery applications. An Artificial Neural Network (ANN) has been used to develop a thermodynamic model to be used for the maximization of the production of power while keeping the size of the heat exchangers and hence the cost of the plant at its minimum. R1234yf has been selected as the working fluid. The results show that the use of ANN is promising in solving complex nonlinear optimization problems that arise in the field of thermodynamics.

关键词： Small scale ORC optimization artificial neural networks

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Optimality analysis of if-conversion transformation

Optimality analysis of if-conversion transformation

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24th High Performance Computing Symposium, HPC 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016

作者： Elkhouly, Reem El-Mahdy, Ahmed Elmasry, Amr Alexandria Egypt Dept. of Computer Engineering and Automatic Control Tanta University Tanta Egypt Dept. of Computer Engineering and Systems Alexandria University Alexandria Egypt

ISBN: (纸本)9781510824256

control-flow dependence has always been posited as a substantial dilemma against program acceleration. With the availability of instruction-level parallel architectures, ifconversion optimization has become pivotal for extracting parallelism from serial programs. While many if-conversion optimization heuristics have been proposed in the literature, few of them investigated the proximity to optimality paying more concern to the input program subjectively. In this paper, we study the effectiveness of the LLVM if-conversion transformation using a broad range optimality analysis technique. The whole optimization space of branch instructions within an arbitrarily selected hotspot function of a program is analyzed, tackling the best-performing combination sequence of converted or non-converted branches. In order to precisely observe the influence of selectively converted branches we magnify individual function call and study the behavior with different call circumstances and input data detecting the impact of data size and distribution. We implemented our technique on LLVM 3.6.1 compilation infrastructure and experimented on several representative kernels of the SPEC-CPU2006 vl.l benchmarks suite running on a multicore system of Intel(R) Xeon(R) 3.50GHz processors. Our findings show a performance gain up to 22.7% at the best optimization over the standard optimized code, indicating the need for more aggressive compilation optimization that is able to capture the individual characteristics of every branch. © 2016 Society for Modeling & Simulation International (SCS).

关键词： Optimization

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