Intelligent e-Tools for Wound Image Understanding and Evaluation

Prodan, Augustin; Rusu, Marius Emil; Revnic, Cornelia; Câmpean, Remus; Mitrea, Paulina; Prodan, Rodica

doi:10.1109/icds.2010.11

Cited by 7 publications

(22 citation statements)

References 3 publications

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“…Besides the low effective g factor, the weak magnetic field dependence may be explained via the fact that the Dirac point of the edge states may actually be "hidden" between the two hole band maxima [unlike presented in the inset of Fig. 1(c)] [23]. On the other hand, the absence of strong temperature dependence in our measurements indicates that elastic single particle backscattering, i.e., spin-flip scattering, dominates over single particle inelastic and multiparticle processes, which exhibit strong power laws [14].…”

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confidence: 99%

Observation of Edge Transport in the Disordered Regime of Topologically InsulatingInAs/GaSbQuantum Wells

et al. 2014

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We observe edge transport in the topologically insulating InAs=GaSb system in the disordered regime. Using asymmetric current paths we show that conduction occurs exclusively along the device edge, exhibiting a large Hall signal at zero magnetic fields, while for symmetric current paths, the conductance between the two mesoscopicly separated probes is quantized to 2e 2 =h. Both quantized and self-averaged transport show resilience to magnetic fields, and are temperature independent for temperatures between 20 mK and 1 K. DOI: 10.1103/PhysRevLett.112.026602 PACS numbers: 72.25.Dc, 73.23.-b, 73.63.Hs Two-dimensional (2D) topological insulators (TI) are a novel class of materials that are insulating in the bulk but which display uniquely conductive edge channels [1][2][3][4]. These one-dimensional (1D) edge modes are helical, with the spin direction tied to the electron direction of motion, and are protected from backscattering by the time reversal symmetry (TRS) [5,6]. Applying magnetic fields breaks the TRS, removing the topological protection of the 1D helical liquid (HL) from single particle backscattering, resulting in a gap opening in the edge spectrum. Such HL channels were first observed in transport measurements in HgTe=CdTe quantum wells, and much of the HL phenomenology has been confirmed and elucidated in those first experiments [7,8]. Recently, Du et al. reported quantized transport in the inverted regime of Si-doped InAs=GaSb quantum wells in mesoscopic samples [9], where the existence of helical edge states was proposed in Ref.[10] and the first experimental evidence provided in Ref.[11] through scaling arguments due to the presence of residual bulk carriers. Unlike that observed in HgTe=CdTe [7], quantized transport in InAs=GaSb persists to magnetic fields of several Tesla [9,11], challenging the common understanding of 2D TIs in terms of TRS protected edge states and associated Z 2 topological invariant.Much remains to be learned about the nature and robustness of HL, in particular, to TRS breaking and disorder. In addition, edge transport in InAs=GaSb has so far only been indirectly assessed in ballistic samples [9,11]. In this Letter we study TI InAs=GaSb quantum wells in the disordered regime [12], where the total device size is much larger than the ballistic length of the HL, and show that transport in the topological regime manifestly occurs along the sample perimeter and is quantized to values consistent with the existence of a HL. Similar to ballistic regime studies [9,11], the conduction is also seen to be only weakly dependent on externally applied magnetic fields of up to 1 T. We argue that this behavior is due to the reduced effective g factor of the edge states originating from their small Fermi velocity v F . In addition, the edge states do not exhibit significant variation in transport properties for temperatures between 20 mK and 1 K measured. This is in contrast to theoretical studies, which have predicted power law corrections to the edge conductance as a function of temperatur...

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confidence: 99%

Observation of Edge Transport in the Disordered Regime of Topologically InsulatingInAs/GaSbQuantum Wells

et al. 2014

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“…Also, we designed e-learning tools based on bootstrapping methods (which are quite valuable for reasoning in uncertain conditions), with the purpose to simulate laboratory experiments in both didactic and research activities. An e-learning scenario is in fact like a traditional lesson, and the ideal solution is to simulate a teaching-learning relation with a virtual teacher able to interact with the learners and to instruct them (Prodan et al, 2008). A good traditional teacher learns all the time from previous didactic experiences.…”

Section: E-learning Environmentmentioning

confidence: 99%

“…When generating a new e-learning scenario, we use a feedback mechanism based on our historical experience from previous e-learning scenarios ( Figure 1). Also, we use Java technologies to generate intelligent and practical e-learning scenarios, based on new AI (Artificial Intelligence) paradigms, such as Case-Based Reasoning, Bayesian Inference and Intelligent Agents (Prodan et al, , 2008(Prodan et al, , 2010. A learner can access the e-course and launch an e-learning scenario either locally, or via WWW in a context of distance learning.…”

Section: E-learning Environmentmentioning

confidence: 99%

“…The main goal of our work is to improve the teaching-learning relation by means of e-learning tools. For this purpose, we used Java and XML technologies to implement practical and intelligent e-learning tools (Prodan et al, , 2004(Prodan et al, , 2008(Prodan et al, , 2010, which we began to incorporate in a Moodle based e-learning system (Martinez & Jagannathan, 2008). We started our researches concerning e-learning technologies in the last years of the previous century, when we created a pool system consisting of e-courses to be used in a context of open learning.…”

Section: Introductionmentioning

confidence: 99%

“…Internet provides a general communication space, which we use as the base line infrastructure for creating e-learning spaces. We created e-learning spaces around various subjects, such as biostatistics (Prodan et al, 2004), pharmaceutical botany, analyzing medical images (Prodan et al, , 2008(Prodan et al, , 2010, etc. Previously, each teacher used a private e-course organizational structure for learning management.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

E-Learning Tools as Means for Improving the Teaching-Learning Relation

Prodan¹,

Mitrea²,

Rusu³

et al. 2012

Methodologies, Tools and New Developments for E-Learning

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A unifying perspective on the Moyal and Voros products and their physical meanings

Basu

Chakraborty

Scholtz

2011

J. Phys. A: Math. Theor.

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The Moyal and Voros formulations of non-commutative quantum field theory has been a point of controversy in the recent past. Here we address this issue in the context of non-commutative nonrelativistic quantum mechanics. In particular we show that the two formulations simply correspond to two different representations associated with two different choices of basis on the quantum Hilbert space. From a mathematical perspective the two formulations are therefore completely equivalent, but we also argue that only the Voros formulaton admits a consistent physical interpretation. These considerations are elucidated by considering the free particle transition amplitude in the two representations.

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Intelligent e-Tools for Wound Image Understanding and Evaluation

Cited by 7 publications

References 3 publications

Observation of Edge Transport in the Disordered Regime of Topologically InsulatingInAs/GaSbQuantum Wells

Observation of Edge Transport in the Disordered Regime of Topologically InsulatingInAs/GaSbQuantum Wells

E-Learning Tools as Means for Improving the Teaching-Learning Relation

A unifying perspective on the Moyal and Voros products and their physical meanings

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