This paper presents a scheme for using tactile rhythms to convey interpersonal distance to individuals who are blind or visually impaired, with the goal of providing access to non-verbal cues during social interaction...
详细信息
ISBN:
(纸本)9781605582474
This paper presents a scheme for using tactile rhythms to convey interpersonal distance to individuals who are blind or visually impaired, with the goal of providing access to non-verbal cues during social interactions. A preliminary experiment revealed that subjects could identify the proposed tactile rhythms and found them intuitive for the given application. Future work aims to improve recognition results and increase the number of interpersonal distances conveyed by incorporating temporal change information into the proposed methodology.
This paper proposes a novel approach: word prediction and verification technique for enhancing the recognition performance for printed Thai characters. Instead of attempting to recognize individual characters, the sys...
详细信息
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this paper we focus on the particularities as...
详细信息
ISBN:
(纸本)9781424439317
Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this paper we focus on the particularities associated with the GPU acceleration of these. First, we introduce the idea of using exhaustive benchmark tests to determine the optimal settings of various parameters in iterative algorithm, here OS-SIRT, which proofs decisive for obtaining optimal GPU performance. Then we introduce bilateral filtering as a viable and cost-effective means for regularization, and we show that GPU-acceleration reduces its overhead to very moderate levels.
ParticipART is an initiative aimed at exploring participation in interactive works using ubiquitous computing and mixed reality. It supports and analyses work of artists and creative practitioners incorporating or ref...
详细信息
ParticipART is an initiative aimed at exploring participation in interactive works using ubiquitous computing and mixed reality. It supports and analyses work of artists and creative practitioners incorporating or reflecting on participatory processes to support new roles and forms of engagement for art participants. We aim at proposing a space for discussion that can enliven and enrich the dialogue between human-computer interaction and the creative practices. We present several works that have been exhibited and experienced. The works are used to reflect on the different participative strategies and the role of interaction technologies: enabling authorship, affording connectivity, interacting with artificial beings, reinterpreting the visitor world, and engaging in performative acts.
NG-TEPHRA, a project hosted by the PRAGMA community attempts to simulate in high detail ash deposition from volcanic activity. This topic has an ever increasing relevance, moreover in the light of recent geological ev...
详细信息
NG-TEPHRA, a project hosted by the PRAGMA community attempts to simulate in high detail ash deposition from volcanic activity. This topic has an ever increasing relevance, moreover in the light of recent geological events in Iceland. The simulation, specific to the Irazu volcano in Costa Rica, requires careful modeling and parameter selection for validation of hypotheses due to low-confidence input data, thus with high uncertainty. This paper explores the resulting structure of the parameter sweep that is being implemented in the NIMROD portal having previously mentioned considerations in mind and analyzing its effect on the quality of the result. Further considerations regarding results handling within largely distributed, homogeneous simulations are discussed and the current solution strategy is described.
Decoy states have been proven to be a very useful method for significantly enhancing the performance of quantum key distribution systems with practical light sources. Although active modulation of the intensity of the...
详细信息
Decoy states have been proven to be a very useful method for significantly enhancing the performance of quantum key distribution systems with practical light sources. Although active modulation of the intensity of the laser pulses is an effective way of preparing decoy states in principle, in practice passive preparation might be desirable in some scenarios. Typical passive schemes involve parametric down-conversion. More recently, it has been shown that phase-randomized weak coherent pulses (WCP) can also be used for the same purpose [M. Curty et al., Opt. Lett. 34, 3238 (2009).] This proposal requires only linear optics together with a simple threshold photon detector, which shows the practical feasibility of the method. Most importantly, the resulting secret key rate is comparable to the one delivered by an active decoy-state setup with an infinite number of decoy settings. In this article we extend these results, now showing specifically the analysis for other practical scenarios with different light sources and photodetectors. In particular, we consider sources emitting thermal states, phase-randomized WCP, and strong coherent light in combination with several types of photodetectors, like, for instance, threshold photon detectors, photon number resolving detectors, and classical photodetectors. Our analysis includes as well the effect that detection inefficiencies and noise in the form of dark counts shown by current threshold detectors might have on the final secret key rate. Moreover, we provide estimations on the effects that statistical fluctuations due to a finite data size can have in practical implementations.
We show that the familiar Cartesian lattice, while convenient for signal processing and representation, is suboptimal when it comes to signal fidelity. We explore various applications of optimal sampling lattices, suc...
详细信息
We show that the familiar Cartesian lattice, while convenient for signal processing and representation, is suboptimal when it comes to signal fidelity. We explore various applications of optimal sampling lattices, such as the Hexagonal and Body centered Cartesian (BCC) lattices for 3D Computed Tomographic (CT) Reconstruction, both in terms of the (2D) detector and the (3D) reconstructed object. We find that BCC lattices compare favorably with CC lattices for both CT data acquisition and reconstruction. For example they increase the recovery and detectability of small features, such as small tumors in the brain.
In this paper, diversity analysis of bit-interleaved coded multiple beamforming (BICMB) is extended to the case of general spatial interleavers, removing a condition on their previously known design criteria and quant...
详细信息
BitTorrent is the dominating protocol in nearly all regions. Various reputation models and incentive mechanisms are proposed in recent years. However, many of them are designed for general peer-to-peer networks, only ...
详细信息
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic languages in which a word consists of many c...
详细信息
暂无评论