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IEEE International Conference on Robotics and Automation (ICRA)

作者： Ali-akbar Agha-mohammadi Saurav Agarwal Aditya Mahadevan Suman Chakravorty Daniel Tomkins Jory Denny Nancy M. Amato Laboratory for Information and Decision Systems MIT Cambridge MA Dept. of Aerospace Engineering Dept. of Computer Science and Engineering Texas A&M University TX USA

Motion planning in belief space (under motion and sensing uncertainty) is a challenging problem due to the computational intractability of its exact solution. The Feedback-based information RoadMap (FIRM) framework made an important theoretical step toward enabling roadmap-based planning in belief space and provided a computationally tractable version of belief space planning. However, there are still challenges in applying belief space planners to physical systems. such as the discrepancy between computational models and real physical models. In this paper, we propose a dynamic replanning scheme in belief space to address such challenges. Moreover, we present techniques to cope with changes in the environment (e.g., changes in the obstacle map), as well as unforeseen large deviations in the robot's location (e.g., the kidnapped robot problem). We then utilize these techniques to implement the first online replanning scheme in belief space on a physical mobile robot that is robust to changes in the environment and large disturbances. This method demonstrates that belief space planning is a practical tool for robot motion planning.

关键词： Planning Robot sensing systems Aerospace electronics Collision avoidance Noise Noise measurement

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Towards inter-vehicle communication strategies for platooning support

Towards inter-vehicle communication strategies for platoonin...

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International Workshop on Communication technologies for Vehicles (Nets4Cars-Fall)

作者： Michele Segata Bastian Bloessl Stefan Joerer Christoph Sommer Mario Gerla Renato Lo Cigno Falko Dressler Systems and Networks University of Trento Italy Computer and Communication Systems University of Innsbruck Austria Distributed Embedded Systems University of Paderborn Germany Dept. of Computer Science University of California Los Angeles California USA Systems and Networks Dept. of Information Engineering and Computer Science University of Trento Italy

Platooning, the idea of cars autonomously following their leaders to form a road train, has huge potentials to improve traffic flow efficiency and, most importantly, road traffic safety. Wireless communication is a fundamental building block - it is needed to manage and to maintain the platoons. To keep the system stable, strict constraints in terms of update frequency and reliability must be met. We developed communication strategies by explicitly taking into account the requirements of the controller, exploiting synchronized communication slots as well as transmit power adaptation. The proposed approaches are compared to two state of the art adaptive beaconing protocols that have been designed for generic message dissemination. Our simulation models have been parametrized and validated by means of real-world experiments. We clearly show how taking into account specific requirements can be extremely beneficial even in very crowded freeway scenarios.

关键词： Vehicles Protocols Power control Delays Standards Loss measurement Vehicle dynamics

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Assessment of G-quadruplex Prediction Tools

Assessment of G-quadruplex Prediction Tools

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Annual IEEE Symposium on computer-Based Medical systems

作者： Giuseppe Tradigo Laura Mannella Pierangelo Veltri Dept. of Computer Science Models Electronics and Systems Engineering University of Calabria Tebaid Consortium for Advanced Biomedical Technologies University of Calabria Dept. of Medical and Surgical Science University of Catanzaro

DNA is a long polymer being famous for its doublehelix form at the lower level, and for its chromosome packaging at higher levels of detail. Nonetheless DNA exists in many possible conformations, including A-DNA, B-DNA and Z-DNA forms. B-DNA is the most common form found in cells. Non-B DNAs comprise of tetraplex (G-quadruplex), left-handed Z-DNA, and others. Several recent publications have provided significant evidence that non-B DNA structures may play a role in DNA instability and mutagenesis, leading to both DNA rearrangements and increased mutational rates, which are a hallmark of cancer related diseases. Studying the structure conformation and probability of non-B DNA structure, may help in studying diseases as well as designing of new drugs. Nevertheless, even if there are some examples of prediction tools, the topic of designing efficient prediction algorithms and tools for G-quadruplex prediction is still in its *** a contribution in this new area, we present preliminary results and statistics obtained by using the state of the art software tools able to predict G-quadruplex DNA conformations starting from the primary sequence. We used existing tools as well as known structures to define the state of the art and the current value of prediction tools. We believe that our study may represent an important contribution through the definition of reliable Gquadruplex prediction tools.

关键词： DNA Databases Bioinformatics Genomics Calculators Hydrogen Software tools

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Modeling of a learning management system

Modeling of a learning management system

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International Symposium on Electrical Apparatus and technologies (SIELA)

作者： Daniela Orozova Evdokia Sotirova Computer and Engineering Science Center Burgas Free University Burgas Bulgaria Dept. Computer and Information Technologies Prof. Asen Zlatarov University Burgas Bulgaria

A theoretical generalized net model is proposed that describes the organization of e-learning in various subjects. Techniques for selection of an appropriate form of intervention are presented, as well as choice of alternative strategies during the training process. There are introduced criteria for assessment of the effectiveness of the learning management system with respect to the predefined training topics using intuitionistic fuzzy sets.

关键词： Training Estimation Fuzzy sets Electronic learning Adaptation models Indexes

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Message from the MAED'14 workshop chairs

MAED 2014 - Proceedings of the 3rd ACM International Regular...

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MAED 2014 - Proceedings of the 3rd ACM International Regular and Data Challenge Workshop on Multimedia Analysis for Ecological Data 2014年 iii页

作者： Spampinato, Concetto Mezaris, Vasileios Cristani, Marco Dept. of Electrical Electronics and Computer Engineering University of Catania Italy Centre for Research and Technology Hellas Information Technologies Institute Greece Computer Science Department University of Verona Italy

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Prediction of Atheromatic Plaque Evolution in Carotids using Features extracted from the Arterial Geometry

Prediction of Atheromatic Plaque Evolution in Carotids using...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Paschalis A. Bizopoulos Antonis I. Sakellarios Dimitrios D. Koutsouris Jannis Kountouras Lazaros Kostretzis Stella Karagergou Lampros K. Michalis Dimitrios I. Fotiadis the Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens (NTUA) GR 15773 Zografou Athens Greece the Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering University of Ioannina GR 45110 Ioannina Greece the Department of Medicine Second Medical Clinic Aristotle University of Thessaloniki Ippokration Hospital Thessaloniki Greece the First Orthopaedic Department G.Papanikolaou Hospital GR 5701 Exohi Thessaloniki Greece the Obstetricts and Gynecology Department General Hospital of Serres Ag. Ioannis GR 62100 Serres Greece the Michaelideion Cardiac Center Department of Cardiology in Medical School GR 45110 University of Ioannina Ioannina Greece

ISBN: (纸本)9781424492695

Knowing the arterial geometry might be helpful in the assessment of a plaque rupture event. We present a proof of concept study implementing a novel method which can predict the evolution in time of the atheromatic plaque in carotids using only statistical features which are extracted from the arterial geometry. Four feature selection methods were compared: Quadratic Programming Feature Selection (QPFS), Minimal Redundancy Maximal Relevance (mRMR), Mutual information Quotient (MIQ) and Spectral Conditional Mutual information (SPECCMI). The classifier used is the Support Vector Machines (SVM) with linear and Gaussian kernels. The maximum accuracy that was achieved in predicting the variation in the mean value of the Lumen distance from the centerline and the thickness was 71.2% and 70.7% respectively.

关键词： QPFS MIQ SPECCMI

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Direct digital control of an efficient silicon+liquid crystal phase shifter 11

Direct digital control of an efficient silicon+liquid crysta...

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11th International Conference on Group IV Photonics, GFP 2014

作者： Xing, Yufei Ako, Thomas George, John P. Korn, Dietmar Yu, Hui Verheyen, Peter Pantouvaki, Marianna Lepage, Guy Absil, Philippe Koos, Christian Leuthold, Juerg Beeckman, Jeroen Bogaerts, Wim Liquid Crystal and Photonics Group Ghent University Department of Electronics and Information Systems Gent Belgium Photonics Research Group Ghent University - Imec Department of Information Technology Gent Belgium Institutes IPQ and IMT Engesserstr. 5 Karlsruhe Germany IMEC Vzw Leuven Belgium Gent Belgium Zhejiang University Department of Information Science and Electronic Engineering Hangzhou China Dept. of Electrical and Computer Engineering National University of Singapore Singapore Singapore Zurich Switzerland Luceda Photonics Dendermonde Belgium

ISBN: (纸本)9781479922833

We demonstrate a phase shifter based on a silicon slot waveguide infiltrated with liquid crystal. We achieve a phase shift of 73 π for a 5V drive voltage, with a voltage-length product of 0.022V·mm around 1V. We can drive the phase shifter directly with a 1V, duobinary pulse-width-modulated signal, allowing direct digital CMOS control of an analog optical phase shifter.

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A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease

A wearable system for long-term ubiquitous monitoring of com...

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2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014

作者： Tsipouras, Markos G. Tzallas, Alexandros T. Karvounis, Evaggelos C. Tsalikakis, Dimitrios G. Cancela, Jorge Pastorino, Matteo Waldmeyer, Maria Teresa Arredondo Konitsiotis, Spiros Fotiadis, Dimitrios I. Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering University of Ioannina GR 45110 Ioannina Greece Department of Informatics and Telecommunications Engineering University of Western Macedonia Kozani GR 50 100 Greece Life Supporting Technologies Universidad Politécnica de Madrid Madrid 28040 Spain Department of Neurology Medical School University of Ioannina GR 45110 Ioannina Greece

ISBN: (纸本)9781479921317

PERFORM is a system for the monitoring, assessment and management of patient with Parkinson's disease (PD). It comprises of three subsystems. (i) Multi-Sensor Monitoring Unit, (ii) the Local Base Unit, and (iii) the Centralized Hospital unit. The wearable, multi-sensor monitoring unit (WMSMU) of the PERFORM system is presented in this work. This unit plays an essential role in the overall PERFORM system since it is responsible to record and pre-process accelerometer and gyroscope signals that are later used by the various components of the Local Base Unit in order to classify and quantify the symptoms and motor status of the PD patients. The WMSMU was evaluated in a large set of pilot studies in PD patients. © 2014 IEEE.

关键词： Neurodegenerative diseases

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Data provisioning for the Object Modeling System (OMS) 7

Data provisioning for the Object Modeling System (OMS)

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7th International Congress on Environmental Modelling and Software, iEMSs 2014

作者： Carlson, Jack R. David, Olaf Lloyd, Wes J. Leavesley, George H. Rojas, Ken W. Green, Timothy R. Arabi, Mazdak Yaege, Lucas Kipka, Holm Colorado State University Dept. of Civil and Environmental Engineering Fort CollinsCO80523 United States Colorado State University Dept. of Computer Science Fort CollinsCO80523 United States USDA-ARS-NPA Agricultural Systems Research Unit 2150 Centre Ave. Fort CollinsCO80526 United States USDA-NRCS Information Technology Center 2150 Centre Ave. Fort CollinsCO80526 United States

The Object Modelling System (OMS) platform supports initiatives to build or re-factor agro-environmental models and deploy them in different business contexts as model services on cloud computing platforms. Whether traditional desktop, client-server, or emerging cloud deployments, success especially at the enterprise level relies on stable and efficient data provisioning to the models. In this paper we describe recent experience and trends with tools and services to supply data for model inputs. Solutions range from simple pre-processing tools to data services deployed to cloud platforms. Also, systematic, sustained data stewardship and alignment with standards organizations impart stability to data provisioning efforts.

关键词： Data handling

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The virtual machine (VM) scaler: An infrastructure manager supporting environmental modeling on IaaS clouds 7

The virtual machine (VM) scaler: An infrastructure manager s...

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7th International Congress on Environmental Modelling and Software, iEMSs 2014

作者： Lloyd, Wes J. David, Olaf Arabi, Mazdak Ascough, James C. Green, Timothy R. Carlson, Jack R. Rojas, Ken W. Colorado State University Dept. of Computer Science Fort CollinsCO80523 United States Colorado State University Dept. of Civil and Environmental Engineering Fort CollinsCO80523 United States USDA-ARS-NPA Agricultural Systems Research Unit 2150 Centre Ave. Fort CollinsCO80526 United States USDA-NRCS Information Technology Center 2150 Centre Ave. Fort CollinsCO80526 United States

Infrastructure-as-a-service (laaS) clouds provide a new medium for deployment of environmental modeling applications. Harnessing advancements in virtualization, laaS clouds can provide dynamic scalable infrastructure to better support scientific modeling computational demands. Providing scientific modeling "as-a-service" requires dynamic scaling of server infrastructure to adapt to changing user workloads. This paper presents the Virtual Machine (VM) Scaler, an autonomic resource manager for laaS Clouds. We have developed VM-Scaler, a REST/JSON-based web services application which supports infrastructure provisioning and management to support scientific modeling for the Cloud Services Innovation Platform (CSIP) [Lloyd et al. 2012]. VM-Scaler harnesses the Amazon Elastic Compute Cloud (EC2) application programming interface to support model-service scalability, cloud management, and infrastructure configuration for supporting modeling workloads. VM-Scaler provides "cloud control" while abstracting the underlying laaS cloud from the end user. VM-Scaler is extensible to support any EC2 compatible cloud and currently supports the Amazon public cloud and Eucalyptus private clouds versions 3.1 and 3.3. VM-Scaler provides a platform to improve scientific model deployment by supporting experimentation with: hot spot detection schemes, VM management and placement approaches, and model job scheduling/proxy services.

关键词： Virtual machine

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