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In phosphor-converted light-emitting diodes (pc-LEDs), phosphor heating can lead to decrease of luminous efficiency or even thermal quenching due to local high phosphor temperature. Phosphor scattering model has been used to calculate the phosphor heat generation. Using this model, there are two methods for heating power estimation, one is the subtractive method and the other is the integral method...
The active liquid cooling system is urgently required for heat dissipation of high-power electronics. However, the key part of the system, micro-pump, is still challenged by the bearing failure problem caused by the mechanical friction. We designed a hydro-dynamically levitated centrifugal micro-pump, providing a 1.0 L/min flow rate and a 45 KPa pressure head at 20000 rpm with the size as small as...
Quantum dots (QDs) have broad prospect in illumination and display in the future with their high quantum efficiency, tunable color in the entire visible range, and excellent color rendering ability. QDs are generally prepared as remote films in white light-emitting diodes(WLED), which gives rise to low light conversion efficiency (LCE). In order to enhance the LCE of QD-converted WLED (QCWLED), a...
The structural design for LED packaging is of great importance. S o far, the methods for LED packaging are mostly from the perspective of enhancing the emitted light's optical performance. In this paper, we proposed a statistical method for the structural design of LED packaging in terms of lumen reliability. Orthogonal experimental design was used in the determination of the experimental scheme....
White light-emitting diodes (WLEDs) composed of blue LED chip, yellow phosphor and red quantum dots (QDs) are considered as potential alternative for next generation artificial light source, with their high luminous efficiency (LE) and color rendering index (CRI). However, the poor compatibility of QDs/silicone and the optical reabsorption effect between the mixed QDs/phosphor particles severely hinder...
This paper focuses on indoor semantic segmentation using RGB-D data. Although the commonly used deconvolution networks (DeconvNet) have achieved impressive results on this task, we find there is still room for improvements in two aspects. One is about the boundary segmentation. DeconvNet aggregates large context to predict the label of each pixel, inherently limiting the segmentation precision of...
This study quantitatively analyzed the optical and thermal performances of remote quantum dots (QDs)-based white light-emitting diodes (QDs-WLEDs) with the same spectra power distribution (SPD) but reverse packaging structures. The output optical power and PL spectra were measured and analyzed by an integrating sphere system, and the temperature fields were simulated by combing optical measurement...
We present a novel global stereo model designed for view interpolation. Unlike existing stereo models which only output a disparity map, our model is able to output a 3D triangular mesh, which can be directly used for view interpolation. To this aim, we partition the input stereo images into 2D triangles with shared vertices. Lifting the 2D triangulation to 3D naturally generates a corresponding mesh...
This paper studies the problem of improving the top-1 accuracy of RGB-D object recognition. Despite of the impressive top-5 accuracies achieved by existing methods, their top-1 accuracies are not very satisfactory. The reasons are in two-fold: (1) existing similarity measures are sensitive to object pose and scale changes, as well as intra-class variations, and (2) effectively fusing RGB and depth...
This paper studies the problem of improving object recognition using the novel RGB-D data. To address the problem, a new convolutional Fisher Kernels (CFK) method is proposed to represent RGB-D objects powerfully yet efficiently. The core idea of our approach is to integrate the both advantages of the convolutional neural networks (CNN) and Fisher Kernel encoding (FK): CNN model is flexible to adapt...
The automatic testing platform of electronic products is a key equipment for electronic product production test automation. And the visual detection is the core technology of the testing platform. This paper mainly gathers the screen image of electronic products and analyzes the image feature, then uses the image processing functions of smoothing filtering, threshold segmentation, edge detection,...
Conventional supervised object recognition methods have been investigated for many years. Despite their successes, there are still two suffering limitations: (1) various information of an object is represented by artificial features only derived from RGB images, (2) lots of manually labeled data is required by supervised learning. To address those limitations, we propose a new semi-supervised learning...
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