1,720,969 research outputs found
vrLab: A Virtual and Remote Low Cost Electronics Lab Platform
Full text linkSARS-CoV2 pandemic stressed the need to increase adoption of remote teaching. Technical courses, specifically electronic engineering ones, suffered the miss of real lab experiments directly carried out by students. In this paper a new approach is presented, based on the usage of very low cost experimental boards, which act both as a measurement instrument and a programmable prototype circuit. A first board, targeted to analog and digital electronics courses experiments, has been designed, and is described in this paper
A Low Cost ALS and VLC Circuit for Solid State Lighting
Full text linkSolid state lighting is nowadays widely diffused both in residential and office or industrial environment. Ambient light sensing to modulate lamp power is typical, too, but sensors inside a lamp are a challenge, due to the high flux of these sources, which easily saturates nearby light detectors. Usually, separate sensing devices must be introduced in the system, thus increasing complexity and cost. In this work, a methodology will be presented, to allow integration of a light sensing device inside a lamp, using low cost circuitry to mitigate interactions between high power LED sources and sensing photodiodes. Moreover, the same circuit allows visual light communication among sources
Bitmap Index: A Processing-in-Memory Reconfigurable Implementation
No full textDuring the years, microprocessors went through impressive performance improvement thanks to technology development. CPUs became able to process great quantities of data. Memories also faced growth especially in density, but as far as speed is concerned the improvement did not proceed as the same rate. Processing-in-Memory (PIM) consists in enhancing the storage unit of a system, adding computing capabilities to memory cells, partially eliminating the need to transfer data from memory to execution unit. In this paper, a PIM architecture is presented for bulk bitwise operation mapped on the Bitmap Index application. The architecture is a memory array with logical computing abilities inside the cells. The array is a configurable modular architecture distributed in different banks, each bank is able to perform a different operation at the same time. This architecture has remarkable performance being faster than other solutions available in literature
Hybrid-SIMD: a Modular and Reconfigurable approach to Beyond von Neumann Computing
Full text linkThe increasing complexity of real-life applications demands constant improvements of microprocessor systems. One of the most frequently adopted microprocessor design scheme is the von Neumann architecture. Central Processing Unit (CPU performs computations and communicates with memory in a constant exchange of information. This unceasing motion of data between these two components became a significant performance bottleneck. A lot of power, energy, and computational time are wasted in this communication. With Beyond von Neumann Computing (BvNC paradigms, calculations are performed inside or very close to a memory array. BvNC approaches are proposed in the literature, mainly based on modifications of existing memories, enabling simple computations. Others exploit emerging technologies to both store and compute data, using analog operations. In this work we follow a different approach, where computational units are placed close to memory cells, improving versatility and performance. We propose a Hybrid-SIMD architecture made of memory and computing elements in an interleaved structure. Hybrid-SIMD can be used both as a low density memory and as SIMD accelerator. We insert our design in a classical von Neumann system based on a RISC-V processor, and we estimate its impact, demonstrating its capability to improve speed reducing at the same time energy consumption
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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