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Heiko Oppel and Michael Munz
Human monitoring systems are already utilized in various fields like assisted living, healthcare or sport and fitness. They are able to support in everyday life or act as a pre-warning system. We developed a system to monitor the ascent of a sport climbe...
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Ziqi Liu, Shogo Okamoto, Tomohito Kuroda and Yasuhiro Akiyama
Gait stability indices are crucial for identifying individuals at risk of falling while walking. The margin of stability is one such index, known for its good construct validity. Generally, the measurement of this stability index requires a motion captur...
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Christof Hammer, Sebastian Sporrer, Johannes Warmer, Peter Kaul, Ronald Thoelen and Norbert Jung
The following work presents algorithms for semi-automatic validation, feature extraction and ranking of time series measurements acquired from MOX gas sensors. Semi-automatic measurement validation is accomplished by extending established curve similarit...
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Renata Graf
The paper investigates the distribution properties of measurement series of river water temperatures for the lowland River Notec and its tributaries (Western Poland), as well as air temperatures at different data time resolution levels (1987?2013). The a...
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Renata Graf
The paper investigates the distribution properties of measurement series of river water temperatures for the lowland River Notec and its tributaries (Western Poland), as well as air temperatures at different data time resolution levels (1987?2013). The a...
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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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Junfei Qiao, Zhiqiang Hu and Wenjing Li
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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Iris Heine, Peter Stüve, Birgit Kleinschmit and Sibylle Itzerott
Groundwater-fed lakes in northeastern Germany are characterized by significant lake level changes, but for only a few lakes are in situ water level measurements available. In this study, we test the potential of RapidEye satellite images for indirectly r...
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José Carlos Palomares-Salas, Agustín Agüera-Pérez, Juan José González de la Rosa, José María Sierra-Fernández and Antonio Moreno-Muñoz
This research presents a comparative analysis of wind speed forecasting methods applied to perform 1 h-ahead forecasting. The main significant development has been the introduction of low-quality measurements as exogenous information to improve these pre...
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Zhenwen He, Chi Zhang and Yunhui Cheng
Time series data typically exhibit high dimensionality and complexity, necessitating the use of specific approximation methods to perform computations on the data. The currently employed compression methods suffer from varying degrees of feature loss, le...
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Xiao Liu, Jingjie Yu, Ping Wang, Yichi Zhang, Chaoyang Du
Pág. 1 - 21
Lake evaporation is a critical component of the hydrological cycle. Quantifying lake evaporation in hyper-arid regions by measurement and estimation can both provide reliable potential evaporation (ET0) reference and promote a deeper understanding of the...
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Xiao Liu, Jingjie Yu, Ping Wang, Yichi Zhang and Chaoyang Du
Lake evaporation is a critical component of the hydrological cycle. Quantifying lake evaporation in hyper-arid regions by measurement and estimation can both provide reliable potential evaporation (ET0) reference and promote a deeper understanding of the...
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Roberto Montenegro
Pág. 125 - 132
There are different methods to measure the volatility regarding clustering in financial series, in which the assumption of the error distribution determines the structure of the log-likelihood function. This paper analyses the flexibility of ARCH models ...
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Peter Mitic
Assuming that a time series incorporates ?signal? and ?noise? components, we propose a method to estimate the extent of the ?noise? component by considering the smoothing properties of the state-space of the time series. A mild degree of smoothing in the...
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Xiaoyu Zhang, Yongqing Li, Song Gao and Peng Ren
This paper investigates the possibility of using machine learning technology to correct wave height series numerical predictions. This is done by incorporating numerical predictions into long short-term memory (LSTM). Specifically, a novel ocean wave hei...
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Xinglong Yuan, Wenbing Chang, Shenghan Zhou and Yang Cheng
Sequential pattern mining (SPM) is an effective and important method for analyzing time series. This paper proposed a SPM algorithm to mine fault sequential patterns in text data. Because the structure of text data is poor and there are many different fo...
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Claudine Dieulin, Gil Mahé, Jean-Emmanuel Paturel, Soundouss Ejjiyar, Yves Tramblay, Nathalie Rouché and Bouabid EL Mansouri
The African continent has a very low density of rain gauge stations, and long time-series for recent years are often limited and poorly available. In the context of global change, it is very important to be able to characterize the spatio-temporal variab...
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José Gabriel Castillo, Carla María Salas
Pág. 113 - 145
The national statistical institutes face permanently the need to reform andupdate the statistical criteria and instruments for labor market analysis, as well as to adapt international recommendations for measurement. These processespose important challen...
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V. V. Rybkin,M. P. Sysyn
Pág. 24 - 30
Two methods are proposed for the vertical roughness determination of railway track depending on data of the measuring carriage ? trigonometric series method and numerical method. The vertical roughness and a warp were calculated on each rail. The warp wa...
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Binbin Ren, Zhaoyuxuan Wang, Kainan Ma, Yiheng Zhou and Ming Liu
Heart rate measurement employing photoplethysmography (PPG) is a prevalent technique for wearable devices. However, the acquired PPG signal is often contaminated with motion artifacts, which need to be accurately removed. In cases where the PPG and accel...
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