Previously, we demonstrated that simple, low-cost measurement of an individual's mental health is possible using nonlinear analysis of pulse waves. Here we introduce a trial system that records and assesses the re...
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A motivationally-aware version of the Ecolab system was developed with the aim of improving the learners' motivation. To gain some insight into the effects of motivational modeling on students' affective state...
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ISBN:
(纸本)9789868473522
A motivationally-aware version of the Ecolab system was developed with the aim of improving the learners' motivation. To gain some insight into the effects of motivational modeling on students' affective states, we observed the affect of 180 students interacting with either Ecolab or M-Ecolab. The affective states considered were based on existing coding schemes [10]. The results suggest that the motivationally-aware tutoring system seems to maintain students' delight over time. However, it seems the motivational interventions did not create new "virtuous cycles" of positive affect [10], or disrupt "vicious cycles", where a student persists in a negative affective state.
Local conditional Lyapunov exponents are introduced and plotted in dynamical phase space to visualize the local susceptibility of the Lorenz system driven by chaos and noise signals when the system produces consistent...
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Local conditional Lyapunov exponents are introduced and plotted in dynamical phase space to visualize the local susceptibility of the Lorenz system driven by chaos and noise signals when the system produces consistent response outputs. The dependence of the distribution of the local conditional Lyapunov exponent on changes in the drive signal is investigated. We consider the existence of multiple basins of consistent response for the same drive signal and the dependence of the basins on the drive signal.
This paper revisits a problem that was identified by Kramer and Magee: placing a system in a consistent state before and after runtime changes. We show that their notion of quiescence as a necessary and sufficient con...
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This paper presents an analytical model of TCP throughput in optical burst-switched (OBS) networks. Several parameters characterize this system and influence the network design process, such as the assembly time, the ...
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All the articles are invited reviews or invited research papers by leading biophotonics researchers and research groups from universities, as well as industry and government laboratories, and they can be structured in...
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All the articles are invited reviews or invited research papers by leading biophotonics researchers and research groups from universities, as well as industry and government laboratories, and they can be structured in three major themes: (i) biophotonics instrumentation and experimental techniques, (ii) biophotonic sensors, and (iii) nano-biophotonics: (i) Biophotonics Instrumentation and Experimental Techniques A ratiometric fluorescence imaging system for surgical guidance by E. Moriyama et al.; 5-ALA mediated fluorescence detection of gastrointestinal tumors by E. Borisova et al.; The impact of autonomic dysreflexia on blood flow and skin response in individuals with spinal cord injury by J. C. Ramella-Roman et al.; and Optical clearing of cranial bone by E. Genina et al. (ii) Biophotonics Sensors Optical biomedical diagnostics: sensors with optical response based on two-photon excited luminescent dyes for biomolecule detection by V. Yashchuk et al. and Sensitive label-free biomolecular detection using thin silicon waveguides by Adam Densmore et al. (iii) Nano-Biophotonics Nanotomography of cell surfaces with evanescent fields by M. Wagner et al.; A proposed method for thermal specific bioimaging and therapy technique for diagnostic and treatment of malignant tumors by using magnetic nanoparticles by I. M. Gescheit et al.; Ultra-short laser pulse heating of nanoparticles:
Self-organizing maps, SOMs, are a data visualization technique developed to reduce the dimensions of data through the use of self-organizing neural networks. However, as the original input manifold can be complicated ...
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ISBN:
(纸本)2930307056
Self-organizing maps, SOMs, are a data visualization technique developed to reduce the dimensions of data through the use of self-organizing neural networks. However, as the original input manifold can be complicated with an inherent dimension larger than that of the feature map, the dimension reduction in SOM can be too drastic, generating a folded feature map. In order to eliminate this phenomenon, we extend the neighborhood concept to a new set of sub-neighbors, other than those introduced by Kohonen. The modified algorithm was applied to color classification and performed very well in comparison with the traditional SOM.
In flow-based mix networks, flow correlation attacks have been proposed earlier and have been shown empirically to seriously degrade mix-based anonymous communication systems. In this paper, we theoretically analyze t...
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In flow-based mix networks, flow correlation attacks have been proposed earlier and have been shown empirically to seriously degrade mix-based anonymous communication systems. In this paper, we theoretically analyze the effectiveness of a mix network under flow correlation attacks. Our formulae clearly show how a mix network will ultimately fail when an adversary has access to sufficiently long flow samples, independently of the type of flows (TCP or UDP).We illustrate the analysis methodology by modelling a continuous-time mix, which randomly delays each incoming packet. Our queuing-model-based analysis can provide useful guidelines for designers who develop and deploy anonymity systems.
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