IEEE Access
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#1Ho-Jun Lee (CAU: Chung-Ang University)
Last. Ho-Hyun ParkH-Index: 10
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Estimating semantic correspondence between pairs of images can be challenging as a result of intra-class variation, background clutter, and repetitive patterns. This paper proposes a convolutional neural network (CNN) that attempts to learn rich semantic representations that contain the global semantic context to enable robust semantic correspondence estimation against intra-class variation and repetitive patterns. We introduce a global context fused feature representation that efficiently emplo...
#1Minh NguyenH-Index: 8
#2Sangshin Kwak (CAU: Chung-Ang University)H-Index: 8
Owing to the low number of submodules (SMs) in modular multilevel converters (MMCs), especially in medium-voltage applications, the output current and voltage generated by conventional nearest-level control (NLC) methods contain evident distortions. Previously, various hybrid and level-increased NLC methods have been proposed to improve the output voltage quality, but such measures wither increased the complexity or did not regulate all the control objectives simultaneously. To further enhance t...
#1Zhuang Huang (XJU: Xinjiang University)
#2Zhenhong Jia (XJU: Xinjiang University)H-Index: 18
Last. Nikola Kasabov (AUT: Auckland University of Technology)H-Index: 65
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Specular highlights often exist in real-world images due to the material property of objects and the capturing environments. High light in real-life scenes can reduce image quality and cause loss of image information, to overcome this, we propose an effective specular reflection image enhancement algorithm. First, the scene depth map of specular reflection image was obtained by the color attenuation prior method; then, two adaptive adjustment factors were developed to optimize the transmission m...
#1Qing Yang (NJIT: Nanjing Institute of Technology)
#2Xuesong Yin (HDU: Hangzhou Dianzi University)
Last. Yigang Wang (HDU: Hangzhou Dianzi University)H-Index: 6
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Nonnegative Matrix Factorization (NMF) is a popular technique for machine learning. Its power is that it can decompose a nonnegative matrix into two nonnegative factors whose product well approximates the nonnegative matrix. However, the nonnegative constraint of the data matrix limits its application. Additionally, the representations learned by NMF fail to respect the intrinsic geometric structure of the data. In this paper, we propose a novel unsupervised matrix factorization method, called R...
#1Thanh Xuan Nguyen (ESIEE Paris)H-Index: 1
#2Giovanni Chierchia (ESIEE Paris)H-Index: 14
Last. B. Perret (ESIEE Paris)
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In the context of mathematical morphology, component-graphs are complex but powerful structures for multi-band image modeling, processing, and analysis. In this work, we propose a novel multi-band object detection method relying on the component-graphs and statistical hypothesis tests. Our analysis shows that component-graphs are better at capturing image structures compared to the classical component-trees, with significantly higher detection capacity. Besides, we introduce two filtering algori...
#1Yao Xue (BJTU: Beijing Jiaotong University)H-Index: 5
#2Chenchen Wang (BJTU: Beijing Jiaotong University)
Last. Xiaofeng Yang (BJTU: Beijing Jiaotong University)H-Index: 88
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Featured with the simple structure, V-clamp multilevel converter (VMC) shows good prospect in the high-voltage and high-power applications. But VMC is endangered by the deviation of dc-link capacitors voltage, especially under the high modulation index (MI) and high power factor (PF) condition. Thus, a voltage balancing strategy for three-phase seven-level VMC is proposed in this paper. This strategy re-designs the carriers and reference to achieve capacitors voltage balancing with reduced switc...
#2Sebastià Xambó-Descamps (BSC: Barcelona Supercomputing Center)H-Index: 3
Last. Ulises Cortés (BSC: Barcelona Supercomputing Center)H-Index: 28
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Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the mammalian visual systems such as invariance to contrast and illumination changes. Some ideas to overcome the illumination and contrast variations usually have to be tuned manually and tend to fail when tested with other types of data degradation. In this context, we present a new bio-inspired entry layer, M6, which de...
#1Chaoyang Zhang (UESTC: University of Electronic Science and Technology of China)H-Index: 25
Last. Yan Yang
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Microwave atmospheric pressure plasma jets continue to evolve with the growth of atmospheric plasma’s applications in sterilization, material modification, and cancer treatment. In this article, continuous and modulated microwave plasma filaments were produced by a hand-held microwave plasma jet, and then they were compared in plasma length, electron temperature, and emission spectrum. The electron temperature was measured by the emission spectroscopy diagnostic method, and the regularities of t...
#1Kyle W. McClintick (WPI: Worcester Polytechnic Institute)H-Index: 2
#2Galahad M. Wernsing (WPI: Worcester Polytechnic Institute)H-Index: 1
Last. Alexander M. Wyglinski (WPI: Worcester Polytechnic Institute)H-Index: 31
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Emerging wireless networks possess the potential to achieve levels of connectivity and Quality-of-Service (QoS) that are orders of magnitude higher than today’s networks. Realizing the potential of these networks will require flexible, low cost, and accurate Digital Signal Processing (DSP). Supervised Learning (SL) models employing unknown parameter estimation and classification techniques have experienced widespread use in physical (PHY) layer wireless communication systems since they can achie...
#1Kleber Nogueira Hodel (USP: Universidade de São Paulo)H-Index: 1
#2José Reinaldo Silva (USP: Universidade de São Paulo)H-Index: 12
Last. Max Mauro Dias Santos (Mercedes-Benz)
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Road vehicles have incorporated several functionalities over the last decade, with an increasing incorporation of electronic embedded systems. Most of those functionalities are controlled, managed, and supervised by distributed software, within many interconnected Electronic Control Units (ECUs). Within such context, new methodologies for tests of the distributed software functions must be developed to ensure proper performance at the integration level, complying with the requirement specificati...
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