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In this paper we propose an unsupervised polarimetric SAR image classification method using deep embedding network. In this method, we first use superpixel segmen-tation method to produce superpixel regions and use the density peaks clustering (DPC) method to generate the representation points of the superpixel regions. The simi-larity matrix of the representation point and the sample points is then...
A novel dataset for benchmarking image-based localization is presented. With increasing research interests in visual place recognition and localization, several datasets have been published in the past few years. One of the evident limitations of existing datasets is that precise ground truth camera poses of query images are not available in a meaningful 3D metric system. This is in part due to the...
In this paper a side-channel-attack resistant AES system with a variation-tolerant true Random Number Generator (tRNG) is implemented using IBM 0.13μm CMOS technology. As the random source for the AES, a meta-stability based tRNG takes advantage of an all-digital self-calibration method to compensate Process-Voltage-Temperature (PVT) variations, and thus guarantees output with extremely high randomness...
Deep learning has proven to be a powerful tool for a wide range of applications, such as speech recognition and object detection, among others. Recently there has been increased interest in deep learning for mobile IoT [1] to enable intelligence at the edge and shield the cloud from a deluge of data by only forwarding meaningful events. This hierarchical intelligence thereby enhances radio bandwidth...
Crystals of potassium dihydrogen phosphate (KDP, KH2PO4) potassium dihydrogen phosphate, KH2PO4 (KDP) and its deuterated analogs K(DxH1−x)2PO4 (DKDP) (DKDP, K(DxH1–x)2PO4) have been studied for their interesting electrical and optical properties, structural phase transitions, and ease of crystallization. They are the only...
This paper presents a data-driven matching cost for stereo matching. A novel deep visual correspondence embedding model is trained via Convolutional Neural Network on a large set of stereo images with ground truth disparities. This deep embedding model leverages appearance data to learn visual similarity relationships between corresponding image patches, and explicitly maps intensity values into an...
In this paper, in order to detect changes in high resolution remote sensing images, we propose an MRF-based change detection method combined with the semantic information. Two temporal high resolution remote sensing images are represented by features of superpixels. For given images, we transform the change detection problem into a binary classification problem by combining differences in both low-level...
In this paper, we propose an exact and efficient O(1) edge-aware filter. Starting from the generic 1D weighted average filter, by enforcing two assumptions on the filter kernel, we derive the fast O(1) algorithm to exactly implement the filter by two pass recursions. Performing the 1D filter horizontally and vertically can easily extend it to 2D case. A typical real valued geodesic kernel and a novel...
This paper introduces the design of an innovative attitude control subsystem by using linear piezoelectric actuators and a Commercial off-the-shelf DC brushless motor. CubeSat is now becoming a popular miniaturized satellite standard for space researches and technology demonstrations. However, precise attitude control systems are challenging on Cubesats due to the constraints of mass and volume. In...
This paper proposed a novel noncontact technology of operation-state monitoring based on magnetic-field sensing for high-voltage transmission lines, which can simultaneously measure both electrical and spatial parameters in real time. This technology was derived from research on themagnetic-field distribution at the ground levelwhen the transmission lines operate in different states, including sagging,...
This article describes functions of the virtual disassembly and assembly training system of a plunger pump, explains the design and development of the system. The three dimensional model of a plunger pump is set up based on Solid works, and an interactive training system of virtual disassembly and assembly of the plunger pump is designed and implemented with the 3DVIA Composer. Key technologies involved...
This article describes functions of the virtual disassembly and assembly training system of a plunger pump, explains the design and development of the system. The threedimensional model of a plunger pump is set up based on Solidworks, and an interactive training system of virtual disassembly and assembly of the plunger pump is designed and implemented with the 3DVIA Composer. Key technologies involved...
This paper presents an Ultrasonic Motor (USM) driver design for CubeSat reaction wheel, where it takes the limitation of size, mass and power source into consideration. It demonstrates whether CubeSat reaction wheel design is feasible to use Ultrasonic Motor. In this paper a novel ultrasonic motor driver circuit is designed base on LC resonance. This design includes innovative driver and control mechanism...
This paper presents a novel tree-based cost aggregation method for dense stereo matching. Instead of employing the minimum spanning tree (MST) and its variants, a new tree structure, "Segment-Tree", is proposed for non-local matching cost aggregation. Conceptually, the segment-tree is constructed in a three-step process: first, the pixels are grouped into a set of segments with the reference...
In this paper, we study how to save energy in Heterogeneous Networks (HetNets), which is introduced to the next generation cellular systems. A HetNet based cellular system consists of a mix of macrocells and low power nodes, such as picocells, femtocells and relays, making the systematic power controlling more complex than the conventional ones. The major difficulty for power control in HetNets is...
We demonstrated an efficient high-power continuous-wave (cw) and passively Q-switched disordered c-cut Nd:CaYAlO4 laser at 1.08 um. Continuous-wave output power of 3.26 W was obtained with an optical conversion efficiency of 25.9% and a slope efficiency of 28.5%. In the passive Q-switching operation, the highest average output power, the shortest pulse width, largest pulse energy and highest peak...
This paper presents a GPU-based stereo matching system with good performance in both accuracy and speed. The matching cost volume is initialized with an AD-Census measure, aggregated in dynamic cross-based regions, and updated in a scanline optimization framework to produce the disparity results. Various errors in the disparity results are effectively handled in a multi-step refinement process. Each...
The influence factors of pH and contact time were used to evaluated the biosorption ability of the heavy metal cadmium (CdII) onto the lyophilized Zygosaccharomyces rouxii CICC1379 biomass from aqueous solutions. And the biosorption equilibrium models of biosorption and biosorption kinetics modeling were also studied. The initial pH of the aqueous solution with Cd(II) had strongly influences on the...
In this paper, we propose a novel propagation-based stereo matching algorithm. Starting from an initial disparity map, our algorithm selects highly reliable pixels and propagates their disparities along the scan line to produce dense disparity results. The key idea is to construct a line segment region for each pixel with local color and connectivity constraints. The pixel wise line segments are efficiently...
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