We create a spiking neural network of Integrate and Fire neurons with spike frequency adaption based on parameters adjusted for our e-nose device, and investigate the use of this model for odor classification. Additio...
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Supervisory control and data acquisition (SCADA) systems are critical to today's industrial facilities and infrastructures. SCADA systems have evolved into large and complex networks of information systems and are...
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In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on...
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The simTD (Safe and Intelligent Mobility: Test Field Germany) research project is another step towards bringing Car-to-X technology to marketability. One of its envisioned applications is a Traffic Information System ...
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Scientific software must be adapted for different execution environments, problem sets, and available resources to ensure its efficiency and reliability. Although adaptation patterns can be found in a sizable percenta...
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ISBN:
(纸本)9781450305563
Scientific software must be adapted for different execution environments, problem sets, and available resources to ensure its efficiency and reliability. Although adaptation patterns can be found in a sizable percentage of recent scientific applications, the traditional scientific software stack lacks the adequate adaptation abstractions and tools. As a result, scientific programmers manually implement ad-hoc solutions that are hard to maintain and reuse. In this paper, we present a novel approach to adapting scientific software written in Fortran. Our approach leverages the binary object code compatibility between stack-based imperative programming languages. This compatibility makes it possible to apply a C++ Aspect-Oriented Programming (AOP) extension to Fortran programs. Our approach expresses the adaptive functionality as abstract aspects that implement known adaptation patterns and can be reused across multiple scientific applications. Application-specific code is systematically expressed through inheritance. The resulting adaptive functionality can be maintained by any programmer familiar with AOP, which has become a staple of modern software development. We validated the expressive power of our approach by refactoring the hand-coded adaptive functionality of a real-world computational fluid dynamics application suite. The refactored code expresses the adaptive functionality in 27% fewer ULOC on average by removing duplication and leveraging aspect inheritance.
作者:
Alessandro GuidottiMarco Di RenzoGiovanni E. CorazzaFortunato SantucciUniversity of Bologna
Dept. of Electronics Computer Engineering and Systems (DEIS) L2S
UMR 8506 CNRS - SUPELEC - Univ Paris-Sud Laboratory of Signals and Systems (L2S) French National Center for Scientific Research (CNRS) Ecole Superieure d'Electricite (SUPELEC) University of Paris-Sud XI (UPS) University of L'Aquila
Dept. of Electrical and Information Engineering Center of Excellence DEWS
Accurate modeling of network interference, deep understanding of its impact on the achievable performance, and development of efficient techniques to mitigate or exploit it are three important and fundamental research...
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ISBN:
(纸本)9781457720529
Accurate modeling of network interference, deep understanding of its impact on the achievable performance, and development of efficient techniques to mitigate or exploit it are three important and fundamental research assets in current and next-generation cellular networks. In this context, Andrews, Baccelli, and Ganti [1] have recently introduced a new analytical approach to estimate coverage and rate of cellular networks subject to other-cell interference. In this paper, we move from the approach developed in [1], and propose an alternative analytical derivation to compute the rate of cellular networks. More specifically, by using stochastic geometry and Poisson point processes theory, we derive a simple and easy-to-compute expression of the rate, which can be used for arbitrary network and channel parameters, e.g., path-loss exponent, receiver noise, density of Base Stations (BSs), etc. Compared to [1], our framework has two main distinguishable features: i) the rate can be computed via a single numerical integral, rather than via a three-fold numerical integral;and ii) the formula is applicable to arbitrary fading distributions on the intended link, rather than being useful for Rayleigh fading only. Our analytical derivation is substantiated through extensive Monte Carlo simulations.
Internet of Things (IoT) refers to the networked interconnection of everyday objects. IoT is an upcoming research field and is being regarded as the revolution in the world of communication because of its extensible a...
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Most image processing techniques are based on the idea that the information is processed in end nodes. Our proposal is based on a slightly different idea called Process-in-Network (PIN) defined as the possibility that...
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Lumbar area of the vertebral column bears the most load of the human body and thus it is responsible for the major portion of lower back pain from which 80% to 90% of people suffer from during their lifetime. Vertebra...
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ISBN:
(纸本)9781424441211
Lumbar area of the vertebral column bears the most load of the human body and thus it is responsible for the major portion of lower back pain from which 80% to 90% of people suffer from during their lifetime. Vertebra related diseases are mainly fracture and are usually diagnosed from X-ray radiographs or CT scans depending on the severity of the problem. In this paper, we propose a fully automated lumbar vertebra segmentation that accurately and robustly produces a smooth contour around each of the vertebrae. This segmentation is very useful in any subsequent CAD system for diagnosis and quantification of vertebrae fractures. It also serves the radiologist during the clinical routine. Our method shows an excellent level of vertebra boundary smootheness that was visually approved by our collaborating radiologist for each vertebra and each case from our fifty cases dataset that includes both normal and abnormal cases.
In order to satisfy the development of contemporary higher education better, after analyzing different experimental methods, this paper proposes a new idea to combine real laboratory equipments and virtual simulation ...
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