533,257 research outputs found
Some recent advances in ab initio calculations of nonradiative decay rates of point defects in semiconductors
In this short review, we discuss a few recent advances in calculating the nonradiative decay rates for point defects in semiconductors. We briefly review the debates and connections of using different formalisms to calculate the multi-phonon processes. We connect Dr. Huang's formula with Marcus theory formula in the high temperature limit, and point out that Huang's formula provide an analytical expression for the phonon induced electron coupling constant in the Marcus theory formula. We also discussed the validity of 1D formula in dealing with the electron transition processes, and practical ways to correct the anharmonic effects
Asimov's Coming Back
Ever since the word āROBOTā first appeared in a science\ud
fiction in 1921, scientists and engineers have been trying\ud
different ways to create it. Present technologies in\ud
mechanical and electrical engineering makes it possible\ud
to have robots in such places as industrial manufacturing\ud
and assembling lines. Although they are\ud
essentially robotic arms or similarly driven by electrical\ud
power and signal control, they could be treated the\ud
primitive pioneers in application. Researches in the\ud
laboratories go much further. Interdisciplines are\ud
directing the evolution of more advanced robots. Among these are artificial\ud
intelligence, computational neuroscience, mathematics and robotics. These disciplines\ud
come closer as more complex problems emerge.\ud
From a robotās point of view, three basic abilities are needed. They are thinking\ud
and memory, sensory perceptions, control and behaving. These are capabilities we\ud
human beings have to adapt ourselves to the environment. Although\ud
researches on robots, especially on intelligent thinking, progress slowly, a revolution\ud
for biological inspired robotics is spreading out in the laboratories all over the world
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The application of Han Dynasty cultural elements to modern product design
Chinese Han Culture, as Chinese nation's "core culture", is the cultural symbol of Chinese nation, and played an important role in the history of Chinese cultural development, even in the history of world cultural development. Designing in the Han Dynasty, while inheriting Chinese traditional culture, but also having its unique style, are appreciated and respected by the people nowadays. In a modern society where the design is becoming more diversified, the innovative design based on traditional culture and art has its unique charm and vitality. This paper presented our recent research on the application of Han Dynasty cultural elements to modern product design, reflected the local design connotation of Han Dynasty cultural elements
Temporal Relational Reasoning in Videos
Temporal relational reasoning, the ability to link meaningful transformations
of objects or entities over time, is a fundamental property of intelligent
species. In this paper, we introduce an effective and interpretable network
module, the Temporal Relation Network (TRN), designed to learn and reason about
temporal dependencies between video frames at multiple time scales. We evaluate
TRN-equipped networks on activity recognition tasks using three recent video
datasets - Something-Something, Jester, and Charades - which fundamentally
depend on temporal relational reasoning. Our results demonstrate that the
proposed TRN gives convolutional neural networks a remarkable capacity to
discover temporal relations in videos. Through only sparsely sampled video
frames, TRN-equipped networks can accurately predict human-object interactions
in the Something-Something dataset and identify various human gestures on the
Jester dataset with very competitive performance. TRN-equipped networks also
outperform two-stream networks and 3D convolution networks in recognizing daily
activities in the Charades dataset. Further analyses show that the models learn
intuitive and interpretable visual common sense knowledge in videos.Comment: camera-ready version for ECCV'1
Iterative channel equalization, channel decoding and source decoding
The performance of soft source decoding is evaluated over dispersive AWGN channels. By employing source codes having error-correcting capabilities, such as Reversible Variable-Length Codes (RVLCs) and Variable-Length Error-Correcting (VLEC) codes, the softin/soft-out (SISO) source decoder benefits from exchanging information with the MAP equalizer, and effectively eliminates the inter-symbol interference (ISI) after a few iterations. It was also found that the soft source decoder is capable of significantly improving the attainable performance of the turbo receiver provided that channel equalization, channel decoding and source decoding are carried out jointly and iteratively. At SER = 10-4, the performance of this three-component turbo receiver is about 2 dB better in comparison to the benchmark scheme carrying out channel equalization and channel decoding jointly, but source decoding separately. At this SER value, the performance of the proposed scheme is about 1 dB worse than that of the Ā½-rate convolutional coded non-dispersive AWGN channel.<br/
Origin of sawtooth domain walls in ferroelectrics
Domains and domain walls are among the key factors that determine the
performance of ferroelectric materials. In recent years, a unique type of
domain walls, i.e., the sawtooth-shaped domain walls, has been observed in
BiFeO and PbTiO. Here, we build a minimal model to reveal the
origin of these sawtooth-shaped domain walls. Incorporating this model into
Monte-Carlo simulations shows that (i) the competition between the long-range
Coulomb interaction (due to bound charges) and short-range interaction (due to
opposite dipoles) is responsible for the formation of these peculiar domain
walls and (ii) their relative strength is critical in determining the
periodicity of these sawtooth-shaped domain walls. Necessary conditions to form
such domain walls are also discussed
Genetic iterative search-centre-shifting K-best sphere detection for rank-deficient SDM-OFDM systems
A generic sphere-detection (SD) scheme is proposed, which substantially reduces the detection complexity by decomposing it into two stages, namely the generic iterative search-centre-update phase and the reduced-complexity search around it. This two-stage philosophy circumvents the high complexity of channel-coded soft-decision aided SDs
Estimation of the parameters of continuous-time systems using data compression
This chapter provides a unified introductory account of the estimation of the parameters of continuous-time systems using data compression based on a number of previous publication
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