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Cu is commonly used as filling material for TSV in 3D integration [1]. However, there is a problem of thermal mismatch between Cu and Si, and also there is still space for improvement in electrical resistivity. In order to improve the physical properties of TSV electroplating copper, we added high conductivity and low expansion coefficient nanoparticles such as graphene to the copper plating solution...
Graphics processing units(GPUs) have been increasingly used to accelerate general purpose computations. By exploiting massive thread-level parallelism (TLP), GPUs can achieve high throughput as well as memory latency hiding. As a result, a very large register file (RF) is typically required to enable fast and low-cost context switching between tens of thousands of active threads. However, RF resource...
Heterogeneous multicore processors with integrated CPU and GPU (Graphic Processing Units) cores on the same chip post new challenges for resources sharing, which is crucial for performance. Unlike traditional multicores, the CPU and GPU cores in the integrated architecture can generate significantly different numbers of cache traffics and exhibit quite diverse temporal or spatial data locality. The...
ORB-SLAM is a feature-based simultaneous localization and mapping (SLAM) system. It has achieved good results in tracking, mapping and loop closing. However, the map created by ORB-SLAM with the monocular camera can not get the real scale. This paper presents an improving ORB SLAM system that helps to alleviate this issue by defining a baseline initialization procedure. We take two relative poses...
Using multiple models to deal with transients for adaptive systems which is large parametric uncertainties was introduced in the 1990s. The common method is using switching schemes. However, these methods has some potential drawbacks. In this paper, a new multiple models scheme is proposed for a class strict-feedback nonlinear discrete-time systems. Firstly, we use feedback linearization and backstepping...
An improved KNN text classification algorithm based on Simhash has been proposed by introducing Simhash and the average Hamming distance of adjacent texts as a unit, which solves the problems caused by data imbalance and the large computational overhead in the traditional KNN text classification algorithms. Experimental results demonstrate that the proposed algorithm performs a higher precision, a...
An autopilot system includes several modules, and the software architecture has a variety of programs. As we all know, it is necessary that there exists one brand with a compatible sensor system till now, owing to complexity and variety of sensors before. In this paper, we apply (Robot Operating System) ROS-based distributed architecture. Deep learning methods also adopted by perception modules. Experimental...
Transferring artistic styles onto everyday photographs has become an extremely popular task in both academia and industry. Recently, offline training has replaced online iterative optimization, enabling nearly real-time stylization. When those stylization networks are applied directly to high-resolution images, however, the style of localized regions often appears less similar to the desired artistic...
In this paper we propose a deep learning architecture to make the best use of global and local information for pixel-wise semantic segmentation. The architecture of three-skips CNN is built with convolutional layers in VGG16 network and its mirrored convolutional layers. Our architecture aims to road scene understanding. In order to save memory and computational time, we use unpooling layers to map...
For an unmanned marine vehicles, the calculations of its resistance under the water and hydrodynamic coefficients are necessary and important work. For the complexity of the fluid around autonomous underwater vehicles(AUV), the kinematic and dynamic model of underwater vehicles are highly nonlinear and coupled so that the hydrodynamic performance are hardly to be obtained. With the help of computational...
A novel kind of bend resistant large mode area fiber is proposed. With the introduce of a multi-layer core, this kind of fiber breaks the mode field area limitation for multi-trench fiber, and achieves a mode filed area of 1300 μm2 at a bend radius of 15cm.
The rotor heat load of permanent magnet synchronous motor (PMSM) occupies a large proportion of the total heat load. The length of rotor wafters has a great influence on rotor temperature rise. In order to research its influence, based on heat transfer theory and hydrodynamics, the thermal calculation model and three-dimensional flow model of PMSM are established. Then, the main heat source of the...
The paper analyzes the problems existing in the practical application of traditional laser triangulation algorithm and sums up the front-end and back-end of graph-based SLAM. Taking into account of the singularity, similarity and symmetry of garbage's feature which may cause feature mismatch and the shortcomings of reflective panels being easily blocked by other objects but with high position accuracy...
An As2Se3-based photonic quasi-crystal fiber (PQF) with high nonlinearity and birefringence is proposed. With femtosecond pulses at a wavelength of 2.94 μm as the pump pulses, mid-infrared broadband polarized supercontinuum is obtained in a 15 mm PQF. The spectral width of x-polarization and j-polarization covers from 1μm ∼10.2 μm and 1μm ∼12.5 μm, respectively.
We have investigated the surface Brillouin scattering (SBS) in the transverse Anderson localization (TAL) disordered optical fibers (DOFs), theoretically and numerically. There are random air-holes in the across of silica DOF, and the disordered silica glass-air structure can bring in TAL to the light, as a result, an optical fiber can be produced. The SBS in this TAL DOF is then numerically investigated...
A novel design of polarization filter based on photonic crystal fiber (PCF) is proposed in this paper. With the introduce of a gold-coated air hole, the loss of y polarized mode is 2138.34 dB/cm while the loss is very low in x polarization at the wavelength of 1.31 μm. The significant loss in y polarization makes this PCF a good candidate for developing a polarization filter with high performance...
Despite the advances made in laser and sensor technology, setting up an accurate range gated imaging system remains a challenge. In this paper, we emphasise on the importance of system setup and its impacts to the performance of three-dimensional (3D) range gated reconstruction. Study is performed to analyse some of the system setup criteria and parameters involved in the laser and camera synchronisation,...
Traditional tomography methods are based on a single statistical feature(such as delay difference, variance, etc.) of network as a measure of the shared path length, but the single statistics don't reflect the time-varying of network performance parameters. In this paper, the packet group detection model is used to obtain the end-to-end delay curve in the non-stationary network for the first time...
This paper focuses on the problem of the stability analysis for T-S fuzzy systems with time delay. A novel Lyapunov-Krasovskii functional containing the fuzzy line-integral Lyapunov function is established. By employing some developed Wirtinger-based integral inequalities, less conservative stability criteria in terms of linear matrix inequalities (LMIs) are obtained. Two examples are given to verify...
As our population ages, neurological impairments and degeneration of the musculoskeletal system yield gait abnormalities, which can significantly reduce quality of life. Gait rehabilitative therapy has been widely adopted to help patients maximize community participation and living independence. To further improve the precision and efficiency of rehabilitative therapy, more objective methods need...
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