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Dimitris Fotakis, Panagiotis Patsilinakos, Eleni Psaroudaki and Michalis Xefteris
In this work, we consider the problem of shape-based time-series clustering with the widely used Dynamic Time Warping (DTW) distance. We present a novel two-stage framework based on Sparse Gaussian Modeling. In the first stage, we apply Sparse Gaussian P...
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Chen Wang, Si-jia Zhao, Zong-qiang Ren and Qi Long
Classifying a time series is a fundamental task in temporal analysis. This provides valuable insights into the temporal characteristics of data. Although it has been applied to traffic flow and individual-centered accessibility analysis, it has yet to be...
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Fuat Kosanoglu
The predictability of wind energy is crucial due to the uncertain and intermittent features of wind energy. This study proposes wind speed forecasting models, which employ time series clustering approaches and deep learning methods. The deep learning (LS...
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Álvaro Rollón de Pinedo, Mathieu Couplet, Bertrand Iooss, Nathalie Marie, Amandine Marrel, Elsa Merle and Roman Sueur
Finding outliers in functional infinite-dimensional vector spaces is widely present in the industry for data that may originate from physical measurements or numerical simulations. An automatic and unsupervised process of outlier identification can help ...
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Mihaela Mitici and Ingeborg de Pater
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from cluster...
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Taoying Li, Xu Wu and Junhe Zhang
An increasing number of automobiles have led to a serious shortage of parking spaces and a serious imbalance of parking supply and demand. The best way to solve these problems is to achieve the reasonable planning and classify management of car parks, gu...
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Xudong Liu, Yongzhong Tian, Xueqian Zhang and Zuyi Wan
Overall scientific planning of urbanization layout is an important component of the new period of land spatial planning policies. Defining the main functions of different spaces and dividing urban functional areas are of great significance for optimizing...
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Xiaofei Zhao, Caiyi Hu, Zhao Liu and Yangyang Meng
Many kinds of spatial?temporal data collected by transportation systems, such as user order systems or automated fare-collection (AFC) systems, can be discretized and converted into time-series data. With the technique of time-series data mining, certain...
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Chiu-Ching Tuan, Chi-Heng Lu, Yi-Chao Wu, Mei-Chuan Chen, Sung-Wei Chi, Tsair-Fwu Lee and Wen-Ling Yeh
In this paper, we introduce a simple sound signal diagnostic method to evaluate anterior cruciate ligament (ACL) injury before and after reconstructive surgery. Sixty-five recruited participants were divided into control (n = 27) and experimental (n = 38...
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Mohammed Salah Al-Radhi, Tamás Gábor Csapó and Géza Németh
The work discussed herein provides a reference for selecting appropriate techniques to optimize and improve the performance of current fundamental frequency estimation methods-based text-to-speech.
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Xudong Guan, Gaohuan Liu, Chong Huang, Xuelian Meng, Qingsheng Liu, Chunsheng Wu, Xarapat Ablat, Zhuoran Chen and Qiang Wang
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Nuno Ferreira, João Gama
Cada vez mais, as empresas e organizações utilizam bases de dados multidimensionais e ferramentas OLAP como forma de organizar informação proveniente de sistemas transacionais com o objetivo de aceder e analisar dados com elevada flexibilidade e desempen...
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Mengchuang Zhang, Shasha Xia, Yongsheng Huang, Jiawei Tian and Zhiping Yin
Flight maneuver recognition (FMR) is a critical tool for capturing essential information about the state of an aircraft, which is necessary to improve pilot training, flight safety, and autonomous air combat. However, due to the alignment of multidimensi...
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Hongjie Zou, Yitao Zhang, Jun Zhang, Chuanglu Chen, Xingguang Geng, Shaolong Zhang and Haiying Zhang
Pulse wave signal sensed over the radial artery on the wrist is a crucial physiological indicator in disease diagnosis. The sensor array composed of multiple sensors has the ability to collect abundant pulse wave information. As a result, it has graduall...
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Suleyman Al-Showarah,Wael Alzyadat,Aysh Alhroob,Hisham Al-Assam
Pág. pp. 126 - 136
Abstract - This research presents a methodology for user identification using ten English words written by a finger on smartphone and mini-tablet. This research considers three features, namely Signature Precision (SP), Finger Pressure (FP), and Movement...
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Ilias Zosimadis and Ioannis Stamelos
Bowling is a target sport that is popular among all age groups with professionals and amateur players. Delivering an accurate and consistent bowling throw into the lane requires the incorporation of motion techniques. Consequently, this research presents...
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Yonghui Cao, Shumin Ma, Yingzhuo Cao, Guang Pan, Qiaogao Huang and Yong Cao
The current development of manta ray robots is usually based on functional bionics, and there is a lack of bionic research to enhance the similarity of motion posture. To better exploit the characteristics of bionic, a similarity evaluation rule is const...
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Ye Li and Hongxiang Ren
The widespread of shipborne Automatic Identification System (AIS) equipment will continue to produce a large amount of spatiotemporal trajectory data. In order to explore and understand the hidden behaviour patterns in the data, an interactive visual ana...
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Kuiyong Song, Nianbin Wang and Hongbin Wang
High-dimensional time series classification is a serious problem. A similarity measure based on distance is one of the methods for time series classification. This paper proposes a metric learning-based univariate time series classification method (ML-UT...
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Quanbo Yuan, Huijuan Wang, Botao Wu, Yaodong Song and Hejia Wang
In order to achieve more efficient energy consumption, it is crucial that accurate detailed information is given on how power is consumed. Electricity details benefit both market utilities and also power consumers. Non-intrusive load monitoring (NILM), a...
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