2,408 research outputs found
Open Cell Conducting Foams for High Synchrotron Radiation Beam Liners
The possible use of open-cell conductive foams in high synchrotron radiation
particle accelerator beam liners is considered. Available materials and
modeling tools are reviewed, potential pros and cons are discussed, and
preliminary conclusions are drawn.Comment: 21 pages, 5 figures, 3 tables, 51 references, submitted to PR-STA
A real time classification algorithm for EEG-based BCI driven by self-induced emotions
Background and objective: The aim of this paper is to provide an efficient, parametric, general, and completely automatic real time classification method of electroencephalography (EEG) signals obtained from self-induced emotions. The particular characteristics of the considered low-amplitude signals (a self-induced emotion produces a signal whose amplitude is about 15% of a really experienced emotion) require exploring and adapting strategies like the Wavelet Transform, the Principal Component Analysis (PCA) and the Support Vector Machine (SVM) for signal processing, analysis and classification. Moreover, the method is thought to be used in a multi-emotions based Brain Computer Interface (BCI) and, for this reason, an ad hoc shrewdness is assumed. Method: The peculiarity of the brain activation requires ad-hoc signal processing by wavelet decomposition, and the definition of a set of features for signal characterization in order to discriminate different self-induced emotions. The proposed method is a two stages algorithm, completely parameterized, aiming at a multi-class classification and may be considered in the framework of machine learning. The first stage, the calibration, is off-line and is devoted at the signal processing, the determination of the features and at the training of a classifier. The second stage, the real-time one, is the test on new data. The PCA theory is applied to avoid redundancy in the set of features whereas the classification of the selected features, and therefore of the signals, is obtained by the SVM. Results: Some experimental tests have been conducted on EEG signals proposing a binary BCI, based on the self-induced disgust produced by remembering an unpleasant odor. Since in literature it has been shown that this emotion mainly involves the right hemisphere and in particular the T8 channel, the classification procedure is tested by using just T8, though the average accuracy is calculated and reported also for the whole set of the measured channels. Conclusions: The obtained classification results are encouraging with percentage of success that is, in the average for the whole set of the examined subjects, above 90%. An ongoing work is the application of the proposed procedure to map a large set of emotions with EEG and to establish the EEG headset with the minimal number of channels to allow the recognition of a significant range of emotions both in the field of affective computing and in the development of auxiliary communication tools for subjects affected by severe disabilities
Coupling Impedances for Perforated Beam Pipes with General Shape from Impedance Boundary Condition
We introduce an equivalent wall impedance to describe the electromagnetic boundary conditions at perforated pipe walls. The new impedance boundary condition, together with our general formulae for computing longitudinal and transverse beam coupling impedances in complex heterogeneous pipes, provides a good trade-off between computational accuracy and ease
Maps for Electron Clouds: Application to LHC Conditioning
In this communication we present a generalization of the map formalism,
introduced in [1] and [2], to the analysis of electron flux at the chamber wall
with particular reference to the exploration of LHC conditioning scenarios.Comment: 3 pages, 4 figure
Accelerator Memory Reuse in the Dark Silicon Era
Accelerators integrated on-die with General-Purpose CPUs (GP-CPUs) can yield significant performance and power improvements. Their extensive use, however, is ultimately limited by their area overhead; due to their high degree of specialization, the opportunity cost of investing die real estate on accelerators can become prohibitive, especially for general-purpose architectures. In this paper we present a novel technique aimed at mitigating this opportunity cost by allowing GP-CPU cores to reuse accelerator memory as a non-uniform cache architecture (NUCA) substrate. On a system with a last level-2 cache of 128kB, our technique achieves on average a 25% performance improvement when reusing four 512 kB accelerator memory blocks to form a level-3 cache. Making these blocks reusable as NUCA slices incurs on average in a 1.89% area overhead with respect to equally-sized ad hoc cache slice
Scalability of Optical Interconnects Based on Microring Resonators
This letter investigates the use of optical microring resonators as switching elements (SEs) in large optical interconnection fabrics. We introduce a simple physical-layer model to assess scalability in crossbar- and Benes-based architectures.We also propose a new dilated SE that improves scalability to build fabrics of several terabits per second of aggregate capacit
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The Benefits of Using Clock Gating in the Design of Networks-on-Chip
Networks-on-chip (NoC) are critical to the design of complex multi-core system-on-chip (SoC) architectures. Since SoCs are characterized by a combination of high performance requirements and stringent energy constraints, NoCs must be realized with low-power design techniques. Since the use of semicustom design flow based on standard-cell technology libraries is essential to cope with the SoC design complexity challenges under tight time-to-market constraints, NoC must be implemented using logic synthesis. In this paper we analyze the major power reduction that clock gating can deliver when applied to the synthesis of a NoC in the context of a semi-custom automated design flow
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