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8th International Workshop on Resilient Networks Design and Modeling, RNDM 2016

作者： Tornatore, Massimo Andre, Joao Babarczi, Peter Braun, Torsten Folstad, Eirik Heegaard, Poul Hmaity, Ali Furdek, Marija Jorge, Luisa Kmiecik, Wojciech Mas MacHuca, Carmen Martins, Lucia Medeiros, Carmo Musumeci, Francesco Pasic, Alija Rak, Jacek Simpson, Steven Travanca, Rui Voyiatzis, Artemios Politecnico di Milano Department of Electronics Information and Bioengineering Milan Italy Lisbon Portugal Hungary University of Bern Bern Switzerland Norwegian University of Science and Technology Trondheim Norway Universidade de Aveiro Dept. of Electronics Information and Bioengineering Milan Portugal KTH Royal Institute of Technology Stockholm Sweden Instituto Politécnico de Bragancą INESC Coimbra Portugal Wroclaw University of Technology Poland Technical University Munich Germany Dept. of Electrical and Computer Engineering INESC University of Coimbra Portugal Dept. of Electrical and Computer Engineering and INESC University of Coimbra Coimbra Portugal Politecnico di Milano Department of Electron. Information and Bioengineering Milan Italy MTA-BME Future Internet Research Group Budapest Uni. of Technology and Economics Hungary Gdansk University of Technology Faculty of Electronics Telecommunications and Informatics Poland Lancaster University United Kingdom Dept. of Civil Engineering Universidade de Aveiro 3810-193 Portugal SBA Research Vienna Austria

ISBN: (纸本)9781467390231

Due to the increasing dependence on network services of our society, research has recently been concentrating on enhancing traditional protection strategies to withstand large-scale failures, as in case of disaster events. The recently-formed EU-funded RECODIS project aims at coordinating and fostering research collaboration in Europe on disaster resiliency in communication networks. In particular, the Working Group (WG) 2 of the RECODIS project focuses on developing new network-resiliency strategies to survive weather-based disruptions. As a first step, WG2 members have conducted a comprehensive literature survey on existing studies on this topic. This paper classifies and summarizes the most relevant studies collected by WG2 members in this first phase of the project. While the majority of studies regarding weather-based disruptions deals with wireless network (as wireless channel is directly affected by weather conditions), in this survey we cover also disaster-resiliency approaches designed for wired network if they leverage network reconfiguration based on disaster 'alerts', considering that many weather-based disruptions grant an 'alert' thanks to weather forecast. © 2016 IEEE.

关键词： Disasters

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A fuzzy expert system for distinguishing between bacterial and aseptic meningitis

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Iranian Journal of Medical Physics 2015年第1期12卷 1-6页

作者： Langarizadeh, Mostafa Khajehpour, Esmat Khajehpour, Hassan Farokhnia, Mehrdad Eftekhari, Mahdi Medical Informatics Dept. Faculty of Health Management and Information Sciences Iran University of Medical Sciences Tehran Iran Medical Informatics Dept. Tehran University of Medical Sciences Tehran Iran Biomedical Engineering Dept. Tehran University of Medical Sciences Tehran Iran Infectious Diseases Specialist Kerman University of Medical Sciences Kerman Iran Artificial Intelligence Department of Computer Engineering Shahid Bahonar University Kerman Iran

Introduction Bacterial meningitis is a known infectious disease which occurs at early ages and should be promptly diagnosed and treated. Bacterial and aseptic meningitis are hard to be distinguished. Therefore, physicians should be highly informed and experienced in this area. The main aim of this study was to suggest a system for distinguishing between bacterial and aseptic meningitis, using fuzzy logic. Materials and Methods In the first step, proper attributes were selected using Weka 3.6.7 software. Six attributes were selected using Attribute Evaluator, InfoGainAttributeEval, and Ranker search method items. Then, a fuzzy inference engine was designed using MATLAB software, based on Mamdani's fuzzy logic method with max-min composition, prod-probor, and centroid defuzzification. The rule base consisted of eight rules, based on the experience of three specialists and information extracted from textbooks. Results Data were extracted from 106 records of patients with meningitis (42 cases with bacterial meningitis) in order to evaluate the proposed system. The system accuracy, specificity, and sensitivity were 89%, 92 %, and 97%, respectively. The area under the ROC curve was 0.93, and Kappa test revealed a good level of agreement (k=0.84, P

关键词： MATLAB

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PennyLane: Automatic differentiation of hybrid quantum-classical computations

arXiv

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arXiv 2018年

作者： Bergholm, Ville Izaac, Josh Schuld, Maria Gogolin, Christian Ahmed, Shahnawaz Ajith, Vishnu Alam, M. Sohaib Alonso-Linaje, Guillermo AkashNarayanan, B. Asadi, Ali Arrazola, Juan Miguel Azad, Utkarsh Banning, Sam Blank, Carsten Bromley, Thomas R. Cordier, Benjamin A. Ceroni, Jack Delgado, Alain Matteo, Olivia Di Dusko, Amintor Garg, Tanya Guala, Diego Hayes, Anthony Hill, Ryan Ijaz, Aroosa Isacsson, Theodor Ittah, David Jahangiri, Soran Jain, Prateek Jiang, Edward Khandelwal, Ankit Kottmann, Korbinian Lang, Robert A. Lee, Christina Loke, Thomas Lowe, Angus McKiernan, Keri Meyer, Johannes Jakob Montañez-Barrera, J.A. Moyard, Romain Niu, Zeyue O’Riordan, Lee James Oud, Steven Panigrahi, Ashish Park, Chae-Yeun Polatajko, Daniel Quesada, Nicolás Roberts, Chase Sá, Nahum Schoch, Isidor Shi, Borun Shu, Shuli Sim, Sukin Singh, Arshpreet Strandberg, Ingrid Soni, Jay Száva, Antal Thabet, Slimane Vargas-Hernández, Rodrigo A. Vincent, Trevor Vitucci, Nicola Weber, Maurice Wierichs, David Wiersema, Roeland Willmann, Moritz Wong, Vincent Zhang, Shaoming Killoran, Nathan Xanadu 777 Bay Street Toronto Canada Wallenberg Centre for Quantum Technology Department of Microtechnology and Nanoscience Chalmers University of Technology Gothenburg412 96 Sweden Indian Institute of Information Technology Kottayam India NASA Ames Research Center Moffett FieldCA94035 United States Mountain ViewCA94043 United States data cybernetics Martin-Kolmsperger-Str 26 Landsberg86899 Germany Department of Medical Informatics and Clinical Epidemiology Oregon Health and Science University PortlandOR97202 United States Dept. of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada Department of Physics Indian Institute of Technology Roorkee Uttarakhand Roorkee India qBraid 5235 South Harper Court ChicagoIL60615 United States Factal Analytics Level 2 Chimes Building Plot 61 Sector - 44 Haryana Gurgaon122003 India Centre for High Energy Physics Indian Institute of Science Karnataka Bengaluru560012 India ICFO - Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Av. Carl Friedrich Gauss 3 Castelldefels Barcelona08860 Spain Chemical Physics Theory Group Department of Chemistry University of Toronto Canada DUG Technology 76 Kings Park Rd West PerthWA6005 Australia Rigetti Computing 2919 Seventh Street BerkeleyCA94710 United States Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute for Advanced Simulation Jülich Supercomputing Centre Forschungszentrum Jülich Jülich52425 Germany University of Amsterdam Netherlands School of Physical Sciences National Institute of Science Education and Research HBNI Odisha Jatni752 050 India Cervest United Kingdom Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150 Rio de Janeiro22290-180 Brazil Zurich8092 Switzerland Neo4j UK Ltd United Kingdom Zapata Computing Inc. United States ITC Infotech Bangalore India Department of Microtechnology and Nanoscienc

PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms. PennyLane’s core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation. PennyLane thus extends the automatic differentiation algorithms common in optimization and machine learning to include quantum and hybrid computations. A plugin system makes the framework compatible with any gate-based quantum simulator or hardware. We provide plugins for hardware providers including the Xanadu Cloud, Amazon Braket, and IBM Quantum, allowing PennyLane optimizations to be run on publicly accessible quantum devices. On the classical front, PennyLane interfaces with accelerated machine learning libraries such as TensorFlow, PyTorch, JAX, and Autograd. PennyLane can be used for the optimization of variational quantum eigensolvers, quantum approximate optimization, quantum machine learning models, and many other applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Machine learning

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Multimodal processes prototyping subject to fuzzy operation time constraints

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IFAC-PapersOnLine 2015年第3期28卷 2103-2108页

作者： Bocewicz, G. Banaszak, Z. Nielsen, I. Dept. of Computer Science and Management Koszalin University of Technology Sniadeckich 2 Koszalin75-453 Poland Dept. of Business Informatics Warsaw University of Technology Narbutta 85 Warsaw02-524 Poland Department of Mechanical and Manufacturing Engineering Aalborg University Aalborg East Denmark

The paper describes a Multimodal Transportation Network (MTN) in which several unimodal networks (Automated Guided Vehicles (AGVs), hoists, lifts, etc.) interact with each other via common shared workstations to provide a variety of demand-responsive material handling operations. Different material handling transport modes provide movement of work pieces between workstations along their manufacturing routes in the MTN. In this context the multimodal processes standing behind multiproduct production flow while executed in MTN can be seen as processes realized with synergic utilization of various local periodically acting processes. Such processes play a determining role in the evaluation of functioning efficiency inter alia in public transport systems, goods transport, energy and data transmission etc. The solution to a constraint satisfaction problem aimed at AGVs fleet match-up scheduling subject to fuzzy operation times constraints is our main contribution. In the considered case both production rate (production takt) and operations execution time are described by imprecise (fuzzy) data. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Constraint satisfaction problems Automatic guided vehicles Manufacture Mass transportation Materials handling Multimodal transportation Scheduling Transportation routes Automated guided vehicles Declarative models Fuzzy constraint Multi modal Multimodal transportation networks Multiproduct productions Public transport systems Responsive materials

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Robust image analysis of BeadChip microarrays 2

Robust image analysis of BeadChip microarrays

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2nd International Conference on Bioimaging, BIOIMAGING 2015

作者： Kalina, Jan Schlenker, Anna Dept. of Medical Informatics and Biostatistics Institute of Computer Science Academy of Sciences of the Czech Republic Prague Czech Republic Institute of Hygiene and Epidemiology First Faculty of Medicine Charles University in Prague Prague Czech Republic Dept. of Biomedical Informatics Faculty of Biomedical Engineering Czech Technical University in Prague Kladno Czech Republic

ISBN: (纸本)9789897580727

Microarray images in molecular genetics are heavily contaminated by noise and outlying measurements. This paper is devoted to analysis of Illumina BeadChip microarray images, primarily to their low-level preprocessing. We point out that standard image analysis procedures, which are implemented in the beadarray package of BioConductor software, are highly sensitive to contamination by severe noise and outliers. Therefore, the habitually used methodology does not discover many of the outliers. We illustrate this on real data and show that the standard background correction method may actually amplify the noise in the image. A robust image analysis tailor-made for this type of microarray images is highly desirable. We explain principles and show preliminary results of our robust alternative to the standard approach, which aims to be robust to noise and outliers in each its step.

关键词： Image analysis

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MICA: MicroRNA Integration for active module discovery 15

MICA: MicroRNA Integration for active module discovery

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6th ACM Conference on Bioinformatics, Computational Biology, and Health informatics, BCB 2015

作者： Hatem, Ayat Kaya, Kamer Parvin, Jeffrey Huang, Kun Çatalyürek, Ümit V. Dept. Computer Science University of Massachusetts Lowell LowellMA United States Sabanci University Faculty of Engineering and Natural Sciences Istanbul Turkey Dept. Biomedical Informatics Ohio State University ColumbusOH United States

ISBN: (纸本)9781450338530

A successful method to address disease-specific module discovery is the integration of the gene expression data with the protein-protein interaction (PPI) network. Although many algorithms have been developed for this purpose, they focus only on the network genes (mostly on the well-connected ones);totally neglecting the genes whose interactions are partially or totally not known. In addition, they only make use of the gene expression data which does not give the complete picture about the actual protein expression levels. The cell uses different mechanisms, such as microRNAs, to posttranscriptionally regulate the proteins without affecting the corresponding genes' expressions. Due to this complexity, using a single data type is definitely not the correct way to find the correct module(s). Today, the unprecedented amount of publicly available disease-related heterogeneous data encourages the development of new methodologies to better understand complex diseases. In this work, we propose a novel workflow Mica, which, to the best of our knowledge, is the first study integrating miRNA, mRNA, and PPI information to identify diseasespecific gene modules. The novelty of the Mica lies in many directions, such as the early modification of mRNA expression with microRNA to better highlight the indirect dependencies between the genes. We applied Mica on microRNASeq and mRNA-Seq data sets of 699 invasive ductal carcinoma samples and 150 invasive lobular carcinoma samples from the Cancer Genome Atlas Project (TCGA). The Mica modules are shown to unravel new and interesting dependencies between the genes. Additionally, the modules accurately differentiate between the case and control samples while being highly enriched with disease-specific pathways and genes. Copyright 2015 ACM.

关键词： Gene expression

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The front end design of a health monitoring system 7

The front end design of a health monitoring system

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7th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, HAICTA 2015

作者： Petrellis, Nikos Birbas, Michael Gioulekas, Fotios Department of Computer Science and Engineering Technology Educational Institute of Thessaly Greece Analogies S.A. and Electrical Engineering and Computer Technology Dept. University of Patras Greece Sub-directorate of Informatics University General Hospital of Larissa Larissa Greece

In this paper an efficient e-health platform based on a low-cost sensor controller system is presented, exhibiting enhanced key characteristics able to provide broad coverage of medical scenarios in a reliable and flexible way. The heart of the system is a low-cost sensor controller capable of performing both simple medical tests and more advanced ones communicating with a Gateway and a tablet or smart phone providing instructions to the patient. Equipped with a simple and flexible communication protocol for data and command exchange, the developed platform is capable of readily supporting a variety of sensors with different sampling profiles. Furthermore, first promising results of on-going work pave the way for achieving considerable enhancement of sensors' accuracy (close to high-cost commercial ones) and significant extension of platform's portability through power consumption minimization. These characteristics have been verified by experimenting with various medical scenarios one of which is demonstrated here in detail. Copyright © 2015 for this paper by authors.

关键词： Smartphones

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A unified posterior regularized topic model with maximum margin for learning-to-rank 15

A unified posterior regularized topic model with maximum mar...

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24th ACM International Conference on Information and Knowledge Management, CIKM 2015

作者： Jameel, Shoaib Lam, Wai Schockaert, Steven Bing, Lidong School of Computer Science and Informatics Cardiff University United Kingdom Dept. of Systems Engineering and Engineering Management Chinese University of Hong Kong Hong Kong Machine Learning Department Carnegie Mellon University United States

ISBN: (纸本)9781450337946

While most methods for learning-to-rank documents only consider relevance scores as features, better results can often be obtained by taking into account the latent topic structure of the document collection. Existing approaches that consider latent topics follow a two-stage approach, in which topics are discovered in an unsupervised way, as usual, and then used as features for the learning-to-rank task. In contrast, we propose a learning-to-rank framework which integrates the supervised learning of a maximum margin classifier with the discovery of a suitable probabilistic topic model. In this way, the labelled data that is available for the learning-to-rank task can be exploited to identify the most appropriate topics. To this end, we use a unified constrained optimization framework, which can dynamically compute the latent topic similarity score between the query and the document. Our experimental results show a consistent improvement over the state-of-the-art learning-to-rank models. © 2015 ACM.

关键词： Constrained optimization

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A mobile indoor positioning system based on iBeacon technology 37

A mobile indoor positioning system based on iBeacon technolo...

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37th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2015

作者： Lin, Xin-Yu Ho, Te-Wei Fang, Cheng-Chung Yen, Zui-Shen Yang, Bey-Jing Lai, Feipei Graduate Institute of Biomedical Electronics and Bioinformatics Taipei Taiwan Dept. of Electrical Engineering Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Emergency Medicine National Taiwan University Hospital Taipei Taiwan

ISBN: (纸本)9781424492718

To increase the efficiency in the emergency room, the goal of this research is to implement a mobile-based indoor positioning system using mobile applications (APP) with the iBeacon solution based on the Bluetooth Low Energy (BLE) technology. We use the Received Signal Strength (RSS) based localization method to estimate the patients' locations. Our positioning algorithm achieves 97.22% (95% Confidence Interval = 95.90% - 98.55%) accuracy of classification. As the result, our mechanism is reliable enough to satisfy the need for medical staff to track the locations of their patients. © 2015 IEEE.

关键词： Bluetooth Low Energy Indoor positioning mobile application

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