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Katsuya Nakamura, Yoshikazu Kobayashi, Kenichi Oda and Satoshi Shigemura
Acoustic emission (AE) source localization has been used to visualize progress failures generated in a wide variety of materials. In the conventional approaches, AE source localization algorithms assume that the AE signal is propagated as a straight line...
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Jue Yang, Lan Mu and Janani Rajbhandari-Thapa
Physical activity (PA) plays a vital role in children?s physical and mental health. The built, natural, and socio-demographic environmental variables affect children?s PA behaviors in various ways. However, few studies focus on systematically measuring t...
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Chenyang Wang, Wanlu Jiang, Xukang Yang and Shuqing Zhang
Predicting the remaining useful life (RUL) of mechanical equipment can improve production efficiency while effectively reducing the life cycle cost and failure rate. This paper proposes a method for predicting the remaining service life of equipment thro...
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Xiaochen Yu, Jingsheng Zhai, Bo Zou, Qi Shao and Guangchao Hou
The modern discrimination of sediment is based on acoustic intensity (backscatter) information from high-resolution multibeam echo-sounder systems (MBES). The backscattering intensity, varying with the angle of incidence, reveals the characteristics of s...
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Shang Feng, Haifeng Li, Lin Ma and Zhongliang Xu
In the application of the brain-computer interface, feature extraction is an important part of Electroencephalography (EEG) signal classification. Using sparse modeling to extract EEG signal features is a common approach. However, the features extracted ...
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Zhe Ma, Zhe Liu, Yuanyuan Zhao, Lin Zhang, Diyou Liu, Tianwei Ren, Xiaodong Zhang and Shaoming Li
The accurate and timely access to the spatial distribution information of crops is of great importance for agricultural production management. Although widely used, supervised classification mapping requires a large number of field samples, and is conseq...
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Vita Santa Barletta, Danilo Caivano, Antonella Nannavecchia and Michele Scalera
The diffusion of embedded and portable communication devices on modern vehicles entails new security risks since in-vehicle communication protocols are still insecure and vulnerable to attacks. Increasing interest is being given to the implementation of ...
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Kathia Chenane, Youcef Touati, Larbi Boubchir and Boubaker Daachi
The following contribution describes a neural net-based, noninvasive methodology for electroencephalographic (EEG) signal classification. The application concerns a brain?computer interface (BCI) allowing disabled people to interact with their environmen...
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Jaehyun Lee, Jinho Kim and Woong Ko
Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made building electr...
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The subject matter of the study is data clustering based on the ensemble of neural networks. The goal of the work is to create a new approach to solving the tasks of clustering in data streams when information is fed observation-by-observation in online ...
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