Hybrid vehicular network communication (V2X) is a promising design technique that is emanated to offer the advantages of both Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication paradigms, aside...
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ISBN:
(纸本)9781728115887;9781728115870
Hybrid vehicular network communication (V2X) is a promising design technique that is emanated to offer the advantages of both Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication paradigms, aside from overcoming their shortcomings. However, designing a more reliable and effective routing protocol to assure utilizing the emerging advantages for such a paradigm is still a challenging task. In this context, two novel schemes are presented in this paper; the first one is expected to enhance the network performance by reducing route errors and overhead through considering multi-effective-criteria in selecting routes, as well as predicting their lifetimes, in addition, to control the dissemination-width of route requests (RREQs) during route discoveries. While the second scheme extends the first method to further argues the dissemination-dep.h control of RREQs aiming to reduce the overhead of unnecessarily repeated attempts of route discoveries. Furthermore, intelligent techniques of artificial bee colony (ABC) optimization and fuzzy logic are employed in the proposed schemes. The conducted results through simulation validate the investigated schemes.
This study is using Go programming language that support parallel programming for numerical calculation. The program was created is designed for calculate ground-state energy of electron, which is based on Density Fun...
This study is using Go programming language that support parallel programming for numerical calculation. The program was created is designed for calculate ground-state energy of electron, which is based on Density Functional Theory (DFT). The basic mathematics of this program is using many basic concept of numerical mathematics (matrix calculation, Poisson solver, and standard routine of numerical mathematics).
Recently, industrial wireless communication had many developments in upgrading transmission to conquer Electromagnetic interference "EMI" in an industrial environment. Many industrial monitoring systems avai...
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Recently, industrial wireless communication had many developments in upgrading transmission to conquer Electromagnetic interference "EMI" in an industrial environment. Many industrial monitoring systems available in the market work on real-time communication by nodes for data logging that has restrictions on the number of nodes that is can support dep.nds on system's processor potential. This research focuses on a distinct approach to design a wireless industrial monitoring system using LabVIEW, which is not limited to the number of nodes, with real-time data logging at nodes and data transmission with environment EMI consideration. In addition, a wireless monitoring system where delay in system update is acceptable until real-time logged data is been archived.
When studying model-driven engineering (MDE) in industry, generalization of studies is often hard, as most artifacts are proprietary and confidential in nature. A possible solution would be to study open-source artifa...
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When studying model-driven engineering (MDE) in industry, generalization of studies is often hard, as most artifacts are proprietary and confidential in nature. A possible solution would be to study open-source artifacts. However, open-source artifacts are not necessarily representative for those found in the industry. As the first step towards investigating the viability of open-source MDE artifacts as an alternative to less accessible industrial ones, we use a large open-source dataset and several industrial meta-models to show that the complexity of OCL expressions in open-source and industry is similar.
This paper presents an approach for precision agriculture large scale applications based on the analysis of big data consisting in Satellite Image Time Series (SITS) acquired by ESA Sentinel-2 (S2) satellite constella...
This paper presents an approach for precision agriculture large scale applications based on the analysis of big data consisting in Satellite Image Time Series (SITS) acquired by ESA Sentinel-2 (S2) satellite constellation. The approach has been developed in the framework of the ESA SEOM - Scientific Exploitation of Operational Missions - S2-4Sci Land and Water project [1]. To focus only on agricultural areas, images are first filtered based on a land cover (LC) map that is generated by updating available old maps by means of recent images. Then S2 SITS are used to analyse agricultural areas. Two macro challenges are therefore considered: (i) automatic update of LC maps and generation of agricultural areas mask; and (ii) unsupervised multi-temporal (MT) fine characterization of land plots.
It is commonly believed that the hidden layers of deep neural networks (DNNs) attempt to extract informative features for learning tasks. In this paper, we formalize this intuition by showing that the features extract...
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Current heterogeneous platforms with CPUs and accelerators have the ability to launch several indep.ndent tasks simultaneously, in order to exploit concurrency among them. These tasks typically consist of data transfe...
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Current heterogeneous platforms with CPUs and accelerators have the ability to launch several indep.ndent tasks simultaneously, in order to exploit concurrency among them. These tasks typically consist of data transfer commands and kernel computation commands. In this paper we develop a runtime approach to optimize the concurrency between data transfers and kernel computation commands in a multithreaded scenario where each CPU thread offloads tasks to the accelerator. It dep.oys a heuristic based on a temporal execution model for concurrent tasks. It is able to establish a near-optimal task execution order that significantly reduces the total execution time, including data transfers. Our approach has been evaluated employing five different benchmarks composed of dominant kernel and dominant transfer real tasks. In these experiments our heuristic achieves speedups up to 1.5x in AMD R9 and NVIDIA K20c accelerators and 1.3x in an Intel Xeon Phi (KNC) device.
Recently we constructed an explicit family of locally repairable and locally regenerating codes. Their existence was proven by Kamath et al. but no explicit construction was given. Our design is based on HashTag codes...
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Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to address the global climate problem requires...
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Raising awareness among young people and changing their behavior and habits concerning energy usage and the environment is key to achieving a sustainable planet. The goal to address the global climate problem requires informing the population on their roles in mitigation actions and adaptation of sustainable behaviors. Addressing climate change and achieve ambitious energy and climate targets requires a change in citizen behavior and consumption practices. IoT sensing and related scenario and practices, which address school children via discovery, gamification, and educational activities, are examined in this paper. Use of seawater sensors in STEM education, that has not previously been addressed, is included in these educational scenaria.
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