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Towards inter-vehicle communication strategies for platooning support 7

Towards inter-vehicle communication strategies for platoonin...

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2014 7th International Workshop on Communication technologies for Vehicles, Nets4Cars-Fall 2014

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

ISBN: (纸本)9781479952700

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. © 2014 IEEE.

关键词： Roads and streets

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A Novel Privacy and Security Framework for the Cloud Network Services

A Novel Privacy and Security Framework for the Cloud Network...

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International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Irish Singh K.N. Mishra Antonio Alberti Dhananjay Singh Antonio Jara Dept. of Computer Science Birla Institute of Technology (BIT) Mesra ICT Lab National Institute of Telecommunications (INATEL) Brazil Dept. of Electronics Engineering Hankuk University of Foreign Studies Yongin South Korea Institute of Information Systems University of Applied Sciences Western Switzerland (HES-SO) Sierre Switzerland

This paper presents an overview of security and it's issues in cloud computing. Nowadays cloud computing has tremendous usage in so many fields such as financial management, communications and collaboration, office productivity suits, accounting applications, customer relationship management, online storage management, human resource and employment. Owing to increase in use of these services by companies, several security issues have emerged and this challenges cloud computing architectures to secure, protect and process user's data. These services have certain cons like security, lock-in, lack of control, and reliability. Privacy and security are the major concerns in cloud computing services. In this paper, we have designed a novel secure framework for cloud services, as well as presented a critical analysis of CCMP (Counter with Cipher Block Message Authentication Code Protocol) protocol for secure data management of cloud services.

关键词： Cloud computing Payloads Encryption Servers Radiation detectors

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Activity recognition in assistive environments: The STHENOS approach

Activity recognition in assistive environments: The STHENOS ...

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8th International Conference on Universal Access in Human-computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-computer Interaction, HCI International 2014

作者： Maglogiannis, Ilias Delibasis, Kostas Kosmopoulos, Dimitrios Goudas, Theodosios Doukas, Charalampos Dept. of Digital Systems University of Piraeus 18534 Greece Dept. of Computer Science and Biomedical Informatics 35100 Greece TEI of Crete Dept. of Informatics Engineering 71004 Greece Dept. of Information and Communication Systems Engineering 83200 Greece

ISBN: (纸本)9783319074450

The paper presents the research conducted within the framework of the STHENOS project (***), which aims at the development of methodologies and systems.for assistive environments. The proposed systems.and applications are capable of recognizing the human activities and assist disabled or elder persons in performing every day activities and detect abnormal situations such as a fall or long periods of inactivity. The paper includes the technical details of the proposed activity recognition methodology using fisheye video cameras and wearable sensors. Initial results have proven the feasibility of the adopted approaches and the efficiency of the implemented system. © 2014 Springer International Publishing.

关键词： Video cameras

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A novel privacy and security framework for the cloud network services

A novel privacy and security framework for the cloud network...

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International Conference on Advanced Communication Technology (ICACT)

作者： Irish Singh KamtaNath Mishra Antonio M. Alberti Antonio Jara Dhananjay Singh Dept. of Computer Science Birla Institute of Technology (BIT) India ICT Lab National Institute of Telecommunications (INATEL) Brazil Institute of Information Systems University of Applied Sciences Western Switzerland (HES-SO) Sierre Switzerland Dept. of Electronics Engineering Hankuk University of Foreign Studies (HUFS) Yongin South Korea

关键词： Cloud computing Payloads Encryption Servers Radiation detectors

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A Method for Semi-automated Generation of Test Scenarios Based on Use Cases

A Method for Semi-automated Generation of Test Scenarios Bas...

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Euromicro Conference on Software engineering and Advanced Applications (SEAA)

作者： Richard Lipka Tomá Potuák Premek Brada Petr Hnetynka Jirí Vinárek NTIS-New Technologies for Information Society University of West Bohemia Plzen Czech Republic Dept. of Comput. Sci. & Eng. Univ. of West Bohema Plzen Czech Republic Departement of Computer Science and Engineering University of West Bohema Plzen Czech Republic Department of Distributed and Dependable Systems Charles Univerity in Prague Faculty of Mathematics and Physics

Use cases are a widely accepted way to define application functionality. They can therefore form a solid basis for testing the correct functionality and quality of service of a developed application. In this paper, we describe a method for semi-automated generation of test scenarios for simulation testing of software components and component-based applications. It derives the scenarios from the use cases written in natural language, enriched with annotations that allow us to connect the specification with the source code of the application. This helps us to generate a sequence of method invocations within the tested application that forms a testing scenario. The achieved benefit is that the utilization of use cases not only helps to keep tests directly related to the original requirements of the application, it also makes it possible to easily generate new test cases when the requirements on the application change.

关键词： Software Automata Model checking Quality of service Natural languages Transforms

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Biologically inspired hierarchical model for traffic sign recognition 24

Biologically inspired hierarchical model for traffic sign re...

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24th International Conference on computer Theory and Applications, ICCTA 2014

作者： Aziz, Amr Abdel Imam, Ibrahim F. Shoukry, Amin College of Computing and Information Technology Arab Academy for Science Technology and Maritime Transport Cairo Egypt Computer and Systems Engineering Dept. Faculty of Engineering Alexandria University Alexandria Egypt

ISBN: (纸本)9781479974757

In this research, a study of the Hierarchical Temporal Memory (HTM) model using the Numenta Implementation 'Nupic v1.7' and an investigation of its performance in solving the German traffic sign recognition task using standard benchmark data is conducted. Its performance is compared to that of a state of the art Multi-Column Deep Neural Network (MCDNN) that has been proved to exceed the human recognition accuracy for the same task. © 2014 IEEE.

关键词： Image classification

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Contextual combinatorial bandit and its application on diversified online recommendation 14

Contextual combinatorial bandit and its application on diver...

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14th SIAM International Conference on Data Mining, SDM 2014

作者： Qin, Lijing Chen, Shouyuan Zhu, Xiaoyan State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Dept. of Computer Science and Technology Tsinghua University Beijing China Dept. of Computer Science and Engineering Chinese University of Hong Kong Shatin N.T. Hong Kong

ISBN: (纸本)9781510811515

Recommender systems.are faced with new challenges that are beyond traditional techniques. For example, most traditional techniques are based on similarity or overlap among existing data, however, there may not exist sufficient historical records for some new users to predict their preference, or users can hold diverse interest, but the similarity based methods may probably over-narrow it. To address the above challenges, we develop a principled approach called contextual combinatorial bandit in which a learning algorithm can dynamically identify diverse items that interest a new user. Specifically, each item is represented as a feature vector, and each user is represented as an unknown preference vector. On each of n rounds, the bandit algorithm sequentially selects a set of items according to the item-selection strategy that balances exploration and exploitation, and collects the user feedback on these selected items. A reward function is further designed to measure the quality (e.g. relevance or diversity) of the selected set based on observed feedback, and the goal of the algorithm is to maximize the total rewards of n rounds. The reward function only needs to satisfy two mild assumptions that is general enough to accommodate a large class of nonlinear functions. To solve this bandit problem, we provide algorithm that achieves Õ(√n) regret after playing n rounds. Experiments conducted on real-wold movie recommendation dataset demonstrate that our approach can effectively address the above challenges and hence improve the performance of recommendation task. Copyright © SIAM.

关键词： Data mining

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Malware detection in big data using fast pattern matching: A hadoop based comparison on GPU 2

Malware detection in big data using fast pattern matching: A...

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2nd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014

作者： Panigrahi, Chhabi Rani Tiwari, Mayank Pati, Bibudhendu Prasath, Rajendra Dept. of Information Technology C.V. Raman College of Engineering Bhubaneswar Odisha752 054 India Dept. of Computer Science and Engineering C.V. Raman College of Engineering Bhubaneswar Odisha752 054 India Business Information Systems University College Cork Cork Ireland

ISBN: (纸本)9783319138169

In big data environment, hadoop stores the data in distributed file systems.called hadoop distributed file system and process the data using parallel approach. When the cloud users store unstructured data in cloud storage, it becomes very important for cloud providers to secure those data. To provide malware security, cloud service providers should scan the whole contents of the database, which is a very time intensive job. It may even take days to complete the tasks. The main aim of the proposed work is to reduce the processing time by introducing Graphics Processing Unit (GPU) in hadoop cluster. The proposed work integrates two text pattern matching algorithms with the map-reduce programming model for faster detection of malware in big data. The results of our study indicate that use of GPU decreases the processing time of text pattern matching algorithms in big data hadoop. © Springer International Publishing Switzerland 2014.

关键词： Graphics processing unit

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A spatio-temporal multimedia big data framework for a large crowd

A spatio-temporal multimedia big data framework for a large ...

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IEEE International Conference on Big Data

作者： Bilal Sadiq Faizan Ur Rehman Akhlaq Ahmad Md. Abdur Rahman Sohaib Ghani Abdullah Murad Saleh Basalamah Ahmad Lbath KACST GIS Technology Innovation Center Umm Al Oura University Saudi Arabia Dept. of Computer Science University of Grenoble Alpes France College of Engineering and Islamic Architecture Umm Al Qura University Saudi Arabia Kulliyah of Information and Communication Technology International Islamic University Kuala Lumpur Malaysia College of Computer and Information Systems Umm Al Qura University Saudi Arabia Innovation and Entrepreneurship Institute Umm Al Qura University Saudi Arabia

Crowdsourced multimedia data poses several challenges when it is collected, stored, indexed, retrieved, and visualized. Examples of crowd source multimedia data are social sensors, vehicle sensors, physical sensors, human sensors, etc. Analyzing such multimodal and diversified crowdsourced data provides very rich understanding about the need of individuals within a crowd. Such understanding makes it possible to tailor services to individuals' needs, also called context-aware services. In this paper, we propose a spatial multimedia big data framework that can collect multimedia data from 1) a very large crowd equipped with multi-sensory smartphones, 2) vehicles, and 3) social networks. A set of multimedia services are offered to users to support their spatio-temporal activities. These include but not limited to 1) simple user interfaces to utilize multimedia services for instant guidance, 2) navigation to points of interests (POI), and 3) efficient and cost effective intra-city rides to users. The big data framework is designed to handle a very large number of multimedia spatio-temporal queries in real-time. The system is a pilot project and will be deployed during the event of Hajj 2015 when over three million pilgrims from all over the world will visit Makkah, Saudi Arabia to perform their Hajj rituals.

关键词： Multimedia communication Big data Sensors Streaming media Multimedia databases Crowdsourcing Semantics

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A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries

A proof-of-concept study for predicting the region of athero...

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

作者： Antonis I. Sakellarios Paschalis Bizopoulos Kostas Stefanou Lambros S. Athanasiou Michail I. Papafaklis Christos V. Bourantas Katerina K. Naka Lampros K. Michalis Dimitrios I. Fotiadis the Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering University of Ioannina GR 45110 the Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens (NTUA) GR-157 73 Zografou Athens Greece the Institute of Molecular Biology and Biotechnology Dept. of Biomedical Research FORTH GR45110 Ioannina Greece the Michaelideion Cardiac Center Dept. of Cardiology in Medical School University of Ioannina GR 45110 Ioannina Greece the Dept. of Interventional Cardiology Erasmus MC Thoraxcenter Rotterdam The Netherlands the Biomedical Research Institute - FORTH University Campus of Ioannina 45110 Ioannina Greece

ISBN: (纸本)9781424492695

In this work, we present a computational model for plaque growth utilizing magnetic resonance data of a patient's carotid artery. More specifically, we model blood flow utilizing the Navier-Stokes equations, as well as LDL and HDL transport using the convection-diffusion equation in the arterial lumen. The accumulated LDL in the arterial wall is oxidized considering the protective effect of HDL. Macrophages recruitment and foam cells formation are the final step of the proposed multi-level modeling approach of the plaque growth. The simulated results of our model are compared with the follow-up MRI findings in 12 months regarding the change to the arterial wall thickness. WSS and LDL may indicate potential regions of plaque growth (R~2=0.35), but the contribution of foam cells formation, macrophages and oxidized LDL increased the prediction significantly (R~2=0.75).

关键词： LDL HDL MRI Low-Density Lipoproteins Hardware design languages High-density lipoproteins Carotid Arteries atherosclerotic plaque convection-diffusion equation Foam Cells C7orf49 gene Magnetic Resonance Imaging oxidized low density lipoprotein Blood Flow Blood Circulation Arteriosclerosis Computational modeling

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