Quantum-well infrared photodetectors have been studied extensively due to their night vision, astronomy and environmental monitoring research in recent years. However, responsivity and detectivity are relatively low i...
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ISBN:
(纸本)9781479987689
Quantum-well infrared photodetectors have been studied extensively due to their night vision, astronomy and environmental monitoring research in recent years. However, responsivity and detectivity are relatively low in these photodetectors without the Au gratings. Therefore, the Au grating will be employed on the surface of photodetector with periodic structure due to the principle of spoof plasmon resonance. The new design mainly aims to enhance the absorption in the QW active region based on the Au grating and can be numerically simulated by using finite-difference frequency-domain method. With optimal grating parameters, the absorption can be enhanced by 250 times compared with that in the reference structure without grating. The theoretical results provide the realistic organic infrared photodetectors with theoretical basis and technical support.
An iterated FDTD method is shown here which can be used for analysis of periodic structures at oblique incidence. The main principle of the algorithm is that the future field for the current iteration is replaced appr...
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ISBN:
(纸本)9781479987689
An iterated FDTD method is shown here which can be used for analysis of periodic structures at oblique incidence. The main principle of the algorithm is that the future field for the current iteration is replaced approximately by the field produced in the previous iteration with the time-shifted method. The calculated reflection coefficient of infinite gold plate agrees well with the analytical solution. Furthermore, the method is introduced into the simulation of three dimensional dispersive structure, and the ultra-transmission phenomenon of the structure with nano cylinder on silicon surface is verified theoretically. The results clearly show that the method overcomes the shortcomings compared with traditional method by the limitation of incidence angle, the lack of time domain field evolution procession and the need for large meshes, which provides a new solution for the transmission properties of dispersive periodic structures under oblique incidence conditions.
An efficient co-evolutionary multi-objective particle swarm optimizer named ECMPSO was *** uses dynamic multiple swarms to deal with multiple objectives,taking one objective is optimized by each swarm into account,and...
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An efficient co-evolutionary multi-objective particle swarm optimizer named ECMPSO was *** uses dynamic multiple swarms to deal with multiple objectives,taking one objective is optimized by each swarm into account,and maintains diversity of new found non-dominated solutions via adopts a three-level particle swarm optimization(PSO) updating rule wherein the particles learn their experiences based on personal,neighborhood,and external *** prove the validity of the ECMPSO algorithm for solving multi-objective problems,some benchmark problems and one real-life problem are selected to validate the performance of the ECMPSO *** experiment results show that the ECMPSO algorithm is better in terms of search precision and convergence performance than other three algorithms from the literature.
We introduce iHEARu-PLAY, a web-based multi-player game for crowdsourced database collection and - most important - labelling. Existing databases (with speech and video content) can be added to the game and labelling ...
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ISBN:
(纸本)9781479999545
We introduce iHEARu-PLAY, a web-based multi-player game for crowdsourced database collection and - most important - labelling. Existing databases (with speech and video content) can be added to the game and labelling tasks can be defined via a web-interface. The primary purpose of iHEARu-PLAY is multi-label, holistic annotation of multi-modal affective speech databases. Players perform labelling (or prompted recording) tasks and are rewarded with scores and prizes, which are computed based on the “correctness” of their annotations, e.g., the agreement with a pre-defined gold standard or with the other players. iHEARu-PLAY is implemented with the open source high-level Python Web framework Django and can be installed on Unix and Windows platforms. Its modular architecture allows for easy integration of custom extensions: New gaming components can be added as plugins in order to support new databases and modalities. Label categories for each database are individually selectable and editable. Audio, image and video annotation are currently supported. iHEARu-PLAY will be available to the research community as a ready-to-use web-service. Researchers can add their own databases, optionally post rewards, and receive annotation results in the end. General users can register to play the game, have fun, compete with other players, and at the same time support science.
A new uniplanar printed PIFA with a coupled-feed structure for LTE/WWAN operation is proposed. The PIFA consists of a coupled-feed loop structure and two separated radiators which are able to generate additional bands...
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In this paper, we analyzed the blindness of traditional clustering algorithms, which select cluster head based on residual energy. Then we proposed the Dynamic Clustering Algorithm (DCA) in Mobile Wireless Sensor Netw...
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In this paper, we proposed a first-order discrete time nonlinear dynamic model of congestion control system with TCP LogWestwood+ (TCPLog) connections and random early detection (RED) gateway in high-speed wireless ne...
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Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ from the reference/normal data that the system was trained with. In this paper we present a novel approach based on non-linea...
Acoustic novelty detection aims at identifying abnormal/novel acoustic signals which differ from the reference/normal data that the system was trained with. In this paper we present a novel approach based on non-linear predictive denoising autoencoders. In our approach, auditory spectral features of the next short-term frame are predicted from the previous frames by means of Long-Short Term Memory (LSTM) recurrent denoising autoencoders. We show that this yields an effective generative model for audio. The reconstruction error between the input and the output of the autoencoder is used as activation signal to detect novel events. The autoencoder is trained on a public database which contains recordings of typical in-home situations such as talking, watching television, playing and eating. The evaluation was performed on more than 260 different abnormal events. We compare results with state-of-the-art methods and we conclude that our novel approach significantly outperforms existing methods by achieving up to 94.4% F-Measure.
The transport of intensity equation (TIE) is solved to recover the phase information through the combination of optics and calculation with the method of phase retrieval based on the intensity measurement. It is prove...
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The transport of intensity equation (TIE) is solved to recover the phase information through the combination of optics and calculation with the method of phase retrieval based on the intensity measurement. It is proved to be a feasible way to obtain phase information theoretically and experimentally. The sensitivity and resolution problems because of the interferometry techniques are avoided. However, the method is derived under the assumption of coherent illumination. It is difficult to expand it to the partially coherent optical field. A partially coherent optical field at any point in the space experiences statistical fluctuations over time. To fully characterize this field, correlations between pairs of points need to be used. Combining the phase modulation of lens and characteristics of partially coherent field, a new phase retrieval method under partially coherent illumination based on the lens imaging model is deduced. Finally, the phase retrieval results are given under uniform and non-uniform illumination. Experimental results verify that this new phase retrieval method is reasonable and correct. The application of traditional phase retrieval algorithm on transport of intensity equation is extended.
Differential Evolution (DE) algorithm is a kind of intelligent algorithm based on natural evolution over the past few decades, which shows better optimization performance on some classical benchmark problems. However,...
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