Broadband is a public utility with positive effects on competitiveness, employment and growth. Although evidence shows that broadband development is increasing, this increment is not homogeneous between urban and rura...
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Broadband is a public utility with positive effects on competitiveness, employment and growth. Although evidence shows that broadband development is increasing, this increment is not homogeneous between urban and rural areas. The main cause is the high cost for deploying next generation networks in rural areas, and especially the cost linked to civil engineering works. In order to overcome the investment challenges arising in the context of broadband deployment, the European Commission made mandatory the sharing of existing telecommunication and non-telecommunication infrastructures and facilities. This paper proposes and presents a novel tool that enables the estimation of the expected savings from exploiting existing infrastructures when deploying a broadband network. This is followed by a number of general principles and recommendations that policy makers and national authorities could embrace to diminish deployment costs and promote broadband deployment.
A Bell test is a randomized trial that compares experimental observations against.the philosophical worldview of local realism1, in which the properties of the physical world are independent of our observation of them...
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A Bell test is a randomized trial that compares experimental observations against.the philosophical worldview of local realism1, in which the properties of the physical world are independent of our observation of them and no signal travels faster than light. A Bell test requires spatially distributed entanglement, fast and high-efficiency detection and unpredictable measurement settings2,3. Although technology can satisfy the first two of these requirements4–7, the use of physical devices to choose settings in a Bell test involves making assumptions about the physics that one aims to test. Bell himself noted this weakness in using physical setting choices and argued that human ‘free will’ could be used rigorously to ensure unpredictability in Bell tests8. Here we report a set of local-realism tests using human choices, which avoids assumptions about predictability in physics. We recruited about 100,000 human participants to play an online video game that incentivizes fast, sustained input of unpredictable selections and illustrates Bell-test methodology9. The participants generated 97,347,490 binary choices, which were directed via a scalable web platform to 12 laboratories on five continents, where 13 experiments tested local realism using photons5,6, single atoms7, atomic ensembles10, and superconducting devices11. Over a 12-hour period on 30 November 2016, participants worldwide provided a sustained data flow of over 1,000 bits per second to the experiments, which used different human-generated data to choose each measurement setting. The observed correlations strongly contradict local realism and other realistic positions in bipartite and tripartite12 scenarios. Project outcomes include closing the ‘freedom-of-choice loophole’ (the possibility that the setting choices are influenced by ‘hidden variables’ to correlate with the particle properties13), the utilization of video-game methods14 for rapid collection of human generated randomness, and the use of network
The aim of this work is to propose the fully automated pathological area extraction from multi-parametric 2D MR images of brain. The proposed method is based on multi-resolution symmetry analysis and automatic thresho...
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The development of high-order, finite-difference time-domain (FDTD) schemes for modeling and investigating radio-wave propagation problems are presented in this work. The electromagnetic waves can be reproduced precis...
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The development of high-order, finite-difference time-domain (FDTD) schemes for modeling and investigating radio-wave propagation problems are presented in this work. The electromagnetic waves can be reproduced precisely in a well-defined discretized space of any geometry, giving accurate simulation results with reasonable computational resources. Special consideration is given to the correct boundary conditions enforced at the media interfaces, as well as to the absorbing boundary conditions that terminate the FDTD grid in open-region problems.
Dynacargo, a research project under implementation, aims to change supply chain management, as the hauled goods are at the center of attention inst.ad of vehicles, as in traditional management approaches. At the same ...
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This work proposes an enhancement of Formal Concept Analysis (FCA) by Lattice Computing (LC) techniques. More specifically, a novel Galois connection is introduced toward defining tunable metric distances as well as t...
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Understanding how services operate as part of large scale global networks, the related risks and gains of different network structures and their dynamics is becoming increasingly critical for society. Our vision and r...
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Understanding how services operate as part of large scale global networks, the related risks and gains of different network structures and their dynamics is becoming increasingly critical for society. Our vision and research agenda focuses on the particularly challenging task of building, analyzing, and reasoning about global service networks. This paper explains how Service Network Analysis (SNA) can be used to study and optimize the provisioning of complex services modeled as Open Semantic Service Networks (OSSN), a computer-understandable digital structure which represents connected and dependent services.
As the number of ageing population and cardiovascular diseases increased, innovations in electrocardiogram (ECG) recording devices with more compact design and capability to be operated while user moving freely and co...
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As the number of ageing population and cardiovascular diseases increased, innovations in electrocardiogram (ECG) recording devices with more compact design and capability to be operated while user moving freely and comfortably are needed to help monitoring cardiac activity. Despite of its advantages, the high mobility of ECG leads to the increasing of motion artifacts and baseline drifts which then become another challenge to be overcome. A method based on Ensemble Empirical Mode Decomposition (EEMD) algorithm is proposed in this research for reducing noises and artifacts caused by motion, e.g. muscle movement, baseline drifts, and electrode motions. Testing was done by generating noisy signal using three types of noise recordings (taken from MIT-BIH Noise Stress database) and normal ECG recordings (taken from MIT-BIH Arrhythmia database with normal annotations), which each type of noisy signals divided into five noise levels i.e. 2, 6, 10, 14, and 18 dB. The performance of proposed method was then evaluated qualitatively by asking opinion from qualified general practitioners and quantitatively by calculating the SNR values. The output signals are then compared with output from Finite Impulse Response (FIR) filter and Empirical Mode Decomposition (EMD). As the results, for three types of noise tested, the ECGs are qualitatively tolerable for being used for diagnosis if the SNR are equal or above 9 dB. According to that, proposed method is effective for reducing muscle noise and electrode motion artifacts with noise levels 6 dB and 10 dB in which the output SNR increased around 9 dB or more. For baseline drifts, this method performs very well for noisy signal with noise levels 2 dB, 6 dB, and 10 dB.
Recently, non-distorted data hiding technologies have attracted increasing interest for some sensitive images such as medical and military images. Among these technologies, histogram shift methods have the most outsta...
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Recently, non-distorted data hiding technologies have attracted increasing interest for some sensitive images such as medical and military images. Among these technologies, histogram shift methods have the most outstanding performance in resisting image processing distortions. Such methods have highnovel robust data hiding scheme hiding capacity in non-distorted hidden information and resistance towards image processing distortions. However, the existing histogram shift methods have limitation in overflow problem. We therefore propose adaptive shrinking and two-level histogram shift to overcome this issue. Extensive experimental results revealed that our proposed method outperforms state-ofthe- art methods in terms of marked image quality, larger data hiding capacity, and robustness.
This study presents a malware classification system designed to classify malicious processes at run-time on production hosts. The system monitors process-level system call activity and uses information extracted from ...
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ISBN:
(纸本)9781467384728
This study presents a malware classification system designed to classify malicious processes at run-time on production hosts. The system monitors process-level system call activity and uses information extracted from system call traces as inputs to the classifier. The system is advantageous because it does not require the use of specialized analysis environments. inst.ad, a `lightweight' service application monitors process execution and classifies new malware samples based on their behavioral similarity to known malware. This study compares the effectiveness of multiple feature sets, ground truth labeling schemes, and machine learning algorithms for malware classification. The accuracy of the classification system is evaluated against.processlevel system call traces of recently discovered malware samples collected from production environments. Experimental results indicate that accurate classification results can be achieved using relatively short system call traces and simple representations.
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