Current Issue : January - March Volume : 2017 Issue Number : 1 Articles : 5 Articles
In recent years, the use of multiprocessor systems has become increasingly common. Even in the embedded domain,\nthe development of platforms based on multiprocessor systems or the porting of legacy single-core applications are\nfrequent needs. However, such designs are often complicated, as embedded systems are characterized by numerous\nnon-functional requirements and a tight hardware/software integration. This work proposes a methodology for the\ndevelopment and validation of an embedded multiprocessor system. Specifically, the proposed method assumes the\nuse of a portable, open source API to support the parallelization and the possibility of prototyping the system on a\nfield-programmable gate array. On this basis, the proposed flow allows an early exploration of the hardware\nconfiguration space, a preliminary estimate of performance, and the rapid development of a system able to satisfy the\ndesign specifications. An accurate assessment of the actual performance of the system is then enforced by the use of\nan hardware-based profiling subsystem. The proposed design flow is described, and a version specifically designed for\nLEON3 processor is presented and validated. The application of the proposed methodology in a real case of industrial\nstudy is then presented and analyzed....
The capability to either minimize energy consumption in battery-operated devices, or to adequately exploit energy\nharvesting from various ambient sources, is central to the development and engineering of energy-neutral wireless\nsensor networks. However, the design of effective networked embedded systems targeting unlimited lifetime poses\nseveral challenges at different architectural levels. In particular, the heterogeneity, the variability, and the\nunpredictability of many energy sources, combined to changes in energy required by powered devices, make it\ndifficult to obtain reproducible testing conditions, thus prompting the need of novel solutions addressing these\nissues. This paper introduces a novel embedded hardware-software solution aimed at emulating a wide spectrum of\nenergy sources usually exploited to power sensor networks motes. The proposed system consists of a modular\narchitecture featuring small factor form, low power requirements, and limited cost. An extensive experimental\ncharacterization confirms the validity of the embedded emulator in terms of flexibility, accuracy, and latency while a\ncase study about the emulation of a lithium battery shows that the hardware-software platform does not introduce\nany measurable reduction of the accuracy of the model. The presented solution represents therefore a convenient\nsolution for testing large-scale testbeds under realistic energy supply scenarios for wireless sensor networks....
Smart grid, smart metering, electromobility, and the regulation of the power network are keywords of the transition\nin energy politics. In the future, the power grid will be smart. Based on different works, this article presents a data\ncollection, analyzing, and monitoring software for a reference smart grid. We discuss two possible architectures for\ncollecting data from energy analyzers and analyze their performance with respect to real-time monitoring, load peak\nanalysis, and automated regulation of the power grid. In the first architecture, we analyze the latency, needed\nbandwidth, and scalability for collecting data over the Modbus TCP/IP protocol and in the second one over a RESTful\nweb service. The analysis results show that the solution with Modbus is more scalable as the one with RESTful web\nservice. However, the performance and scalability of both architectures are sufficient for our reference smart grid and\nuse cases....
The accuracy and poor real-time performance of moving objects in a dynamic range complex environment become\nthe bottleneck problem of the target location and tracking. In order to improve the positioning accuracy and the\nquality of tracking service, we propose an embedded tracking algorithm based on multi-feature fusion and visual\nobject compression. On the hand, according to the feature of the target, the optimal feature matching method is\nselected, and the multi-feature crowd fusion location model is proposed. On the other hand, to reduce the dimension\nof the multidimensional space composed of the moving object visual frame and the compression of the visual object,\nthe embedded tracking algorithm is established. Experimental results show that the proposed tracking algorithm has\nhigh precision, low energy consumption, and low delay....
Internet simultaneous services of large-scale users will lead to server overload and information failure. Static content\nrecommendation system cannot adapt to the dynamic similarity characteristics of users. So, how to perceive the high\naccuracy of recommendation scheme in dynamic environment becomes one of the key techniques in application of\neducational information and embedded application. We analyze the problem of low efficiency and high error of the\nrecommendation technology based on the user�s requirement. And, we proposed the cooperative filtering\nrecommendation system based on the dynamic similarity of different users. In order to improve the prediction accuracy\nof cooperative filtering algorithm, the user�s target content would be processed with crowd scheme. Then, the system is\nfused with the recommendation system. According to the weights of the fusion, the crowd recommended fusion\nscheme are proposed. The experimental results show that the fusion mechanism of cooperative embedded filtering and\ncrowd content recommendation has obvious advantages in terms of content recommendation accuracy, reliability, and\nconvergence speed....
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