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This paper presents a novel strategy addressing visual SLAM with enhancement of data association method. Hyper graph theory and transformation was incorporated within cooperative visual SLAM. The research presented a synthetic approach to fulfill a cooperative data association and fusion strategy for multiple UAVs equipped with stereo vision cameras encountered with indistinct imaging, where conventional...
We present a nonuniform metasurface that operates as a flat lens at 400 GHz. Efficiency is enhanced by the use of a novel, tri-layer polarization-converting nonuniform meta-surface structure. The device is fabricated and experimentally characterized. The results confirm that the flat lens is indeed capable of focusing radiation to a focal spot with ∼68% efficiency. Constrained by spatial dispersion,...
Here we demonstrate self-aligned bi-layer metallic metasurfaces that accomplish dual and broadband terahertz antireflection. Numerical simulations and experimental measurements show that excellent antireflection performance can be achieved by simply tailoring the geometry of the subwavelength structures. This flexible antireflection scheme can be applied to substrates with arbitrary refractive indices...
This work presents the first integration of a message-passing detector (MPD) and a polar decoder. A soft-output MPD, which is essential to approach the channel capacity, is first proposed. Compared to the state-of-the-art design, the proposed MPD achieves a 6.9x higher throughput with 49% lower energy, despite the soft outputs. The proposed polar decoder achieves a 1.35x higher throughput with comparable...
To make multi-state system reliability model reveal the randomness of component or system state changes more authentically, reduce the number of system states effectively and simplify the solution of model, this paper employs continuous phase type (PH) distribution to improve universal generating function. It is firstly assumed that a multi-state component's residence time in different states is subject...
In this paper we present the design and implementation of a DMATiler which combines compiler analysis and runtime management to optimize local memory performance. In traditional cache model based loop tiling optimizations, the compiler approximates runtime cache misses as the number of distinct cache lines touched by a loop nest. In contrast, the DMATiler has the full control of the addresses, sizes,...
Ease of programming is one of the main impediments for the broad acceptance of multi-core systems with no hardware support for transparent data transfer between local and global memories. Software cache is a robust approach to provide the user with a transparent view of the memory architecture; but this software approach can suffer from poor performance. In this paper, we propose a hierarchical, hybrid...
Hyperspectral imaging (HSI) has been used in detecting affective states via tissue oxygen saturation (StO2) recently. However the number of wavelength used in HSI for generating StO2 are large. Therefore the reduction of the wavelength number plays a key role in real-time affection detection. In this paper, a physarum network (PN) approach was applied to select wavelengths from traditional waveband...
This research investigates a k-out-of-n system in which the lifetime of operational and standby components, the repair time follow continuous phase-type (PH) distribution, instead of exponential distribution or others typical distributions. The proposed paper provides an analytic reliability model that is more suitable to characterize the real situation. The stationary distribution is built by using...
OpenMP 4.5 allows performance portability by enabling users to write a single application code and run it on multiple types of accelerators. Our goal is to deliver a high-performance implementation of OpenMP into the Clang/LLVM project. This paper describes our initial work to fully support code generation for OpenMP device offloading constructs. We describe a new driver implementation to handle compilation...
The Clang implementation of OpenMP® 4.5 now provides full support for the specification, offering the only open source option for targeting NVIDIA® GPUs. While using OpenMP allows portability across different architectures, matching native CUDA® performance without major code restructuring is an open research issue.In order to analyze the current performance, we port a suite of representative benchmarks,...
Owing to the vigorous development of face recognition, near-infrared (NIR) face recognition technology with light insensitivity has attracted increasing attention. However, the traditional methods for NIR face recognition feature the hand-crafted feature design. In this paper, we present a convolutional neural network (CNN) for NIR face recognition. CNN is a multiplayer feed-forward neural network...
The control of electromagnetic radiation lies at the core of many modern technologies. Naturally occurring materials provide only limited electromagnetic response, insufficient for emerging technologies with increasingly demanding requirements. Metamaterials/metasurfaces overcome such an obstacle by realizing exotic electromagnetic properties and enhanced functionalities through a designer approach...
With the rapidly development of the face recognition (FR), thermal face recognition has received increasing attention. However, the traditional methods for thermal face recognition mainly concentrate on the hand-crafted feature design, which requires more efforts from human to select and extract features and usually has relatively lower recognition rate. In this paper, we present a convolutional neural...
Palm vein recognition is a developing biometric identification technology. It can be used in physical security and information security for selective control of access to a place or resource. Prior to the palm vein recognition, vein enhancement is generally required for a better recognition. In this paper, we propose a vein enhancement method combining Karhunen-Loeve (KL) transform and hue-preserving...
Palm vein recognition is a novel biometric identification technology. But how to gain a better vein extraction result from the raw palm image is still a challenging problem, especially when the raw data collection has the problem of asymmetric illumination. This paper proposes a method based on single scale Retinex algorithm to extract palm vein image when strong shadow presents due to asymmetric...
In order to remove the speckle noise produced by SAR system in the process of imaging, an improved SAR image denoising algorithm based on Wiener filtering and P-M&LLT partial differential equation is proposed. In the algorithm, the image edge is preserved by P-M equation of the low order partial differential equations, and the higher order equation LLT method can recover the image smooth region...
Multi-instance multi-label learning is an extension of multi-instance learning for multi-label classification. In order to select typical instances with high discrimination for multiple labels, the feature selection via Joint L21-norms minimization is introduced in this paper, and a multi-instance multi-label learning algorithm based on feature selection is proposed. All bags are mapped to typical...
The Active Memory Cube (AMC) is a novel near-memory processor that exploits high memory bandwidth and low latency close to DRAM to execute scientific applications in an energy-efficient manner. Its energy efficiency is derived from a combination of its novel scalar-vector data-flow path combined with its simple control-flow path that required the development of a sophisticated compiler, co-designed...
A novel exemplar-based image inpainting algorithm is proposed for solving the deficiencies of the classical Criminisi method, such as the error repair accumulation, high time complexity caused by the unreasonable design of the patch priority, inaccuracy criterion and its global search strategy. Thus, we construct a local structure measurement function by introducing the structure tensor theory, and...
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