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Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ...
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Ning Wang, Buhao Zhang, Jian Gu, Huahua Kong, Song Hu and Shengchao Lu
The road traffic state is usually analyzed from a temporal and macroscopic perspective; however, traffic flow parameters, such as density and spacing, can explain the evolution of traffic states from the microscopic perspective and the spatial distributi...
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Jonathan Asaadi, Martin Auger, Antonio Ereditato, Damian Goeldi, Umut Kose, Igor Kreslo, David Lorca, Matthias Luethi, Christoph Benjamin Urs Rudolf Von Rohr, James Sinclair, Francesca Stocker and Michele Weber
Traditional charge readout technologies of single-phase Liquid Argon Time projection Chambers (LArTPCs) based on projective wire readout introduce intrinsic ambiguities in event reconstruction. Combined with the slow response inherent in LArTPC detectors...
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Ning Zhao, Yuhe Liu and Junjie Shen
A built-in sensor in a smart device, such as the accelerometer and the gyroscope, will produce an obvious nonlinear output when it receives voice signal. In this paper, based on the chaotic theory, the nonlinearity of smartphone built-in accelerometer is...
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Fei Mei, Qingliang Wu, Tian Shi, Jixiang Lu, Yi Pan and Jianyong Zheng
Recently, a large number of distributed photovoltaic (PV) power generations have been connected to the power grid, which resulted in an increased fluctuation of the net load. Therefore, load forecasting has become more difficult. Considering the characte...
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Zhixin Li, Desheng Wen, Zongxi Song, Tuochi Jiang, Weikang Zhang, Gang Liu and Xin Wei
Space target surveillance is a significant part of space defense, and is also important for maintaining national security. Imaging of the space targets is the direct method used to realize space target recognition. However, for long-range space targets, ...
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Jianzhong Zhou, Tian Peng, Chu Zhang and Na Sun
This paper introduces three artificial neural network (ANN) architectures for monthly streamflow forecasting: a radial basis function network, an extreme learning machine, and the Elman network. Three ensemble techniques, a simple average ensemble, a wei...
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Gangfeng Wu, Zhehao Yang, Kefeng Zhang, Ping Dong and Ying-Tien Lin
The use of multiple-level non-uniform rectangular mesh in coupled flow and sediment transport modeling is preferred to achieve high accuracy in important region without increasing computational cost greatly. Here, a robust coupled hydrodynamic and non-eq...
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Xuehua Zhao, Xu Chen, Yongxin Xu, Dongjie Xi, Yongbo Zhang and Xiuqing Zheng
Accurate forecasting of annual runoff is necessary for water resources management. However, a runoff series consists of complex nonlinear and non-stationary characteristics, which makes forecasting difficult. To contribute towards improved prediction acc...
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Junfei Qiao, Zhiqiang Hu, Wenjing Li
Pág. 1 - 21
The precision of soft measurement for biochemical oxygen demand (BOD) is always restricted due to various factors in the wastewater treatment plant (WWTP). To solve this problem, a new soft measurement modeling method based on chaos theory is proposed an...
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