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Chris van Heerden,André Heymans
AbstractIt is well known that the forward exchange rate and the realised future spot exchange rate differ. This phenomenon is better known as the exchange rate puzzle. Two approaches were followed to ascertain whether this difference is due to the weak e...
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Raúl Llasag Rosero, Catarina Silva and Bernardete Ribeiro
Predictive Maintenance (PM) strategies have gained interest in the aviation industry to reduce maintenance costs and Aircraft On Ground (AOG) time. Taking advantage of condition monitoring data from aircraft systems, Prognostics and Health Maintenance (P...
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Vusi Ntiyiso Masingi and Daniel Maposa
Extreme rainfall events have made significant damages to properties, public infrastructure and agriculture in some provinces of South Africa notably in KwaZulu-Natal and Gauteng among others. The general global increase in the frequency and intensity of ...
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Huiying Ren, Z. Jason Hou, Mark Wigmosta, Ying Liu and L. Ruby Leung
Changes in extreme precipitation events may require revisions of civil engineering standards to prevent water infrastructures from performing below the designated guidelines. Climate change may invalidate the intensity-duration-frequency (IDF) computatio...
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Xinpeng Wang, Shengxiang Huang, Chao Kang, Guanqing Li and Chenfeng Li
When the dynamic characteristics of a bridge structure are analyzed though Hilbert?Huang transform (HHT), the noise contained in the bridge dynamic monitoring data may seriously affect the performance of the first natural frequency identification. A time...
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Ruhul Firdaus
Pág. 86 - 92
Resolution capability of seismic reflection data is becoming more interesting topic to discuss even for today. Several methods and approximations to attempt bandwidth extension of seismic reflection data have been proposed in wide variety. Among them is ...
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Guoqi Qian, Antoinette Tordesillas and Hangfei Zheng
High-dimensional, non-stationary vector time-series data are often seen in ground motion monitoring of geo-hazard events, e.g., landslides. For timely and reliable forecasts from such data, we developed a new statistical approach based on two advanced ec...
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Swagat Bhattacharyya and Jennifer O. Hasler
While wireless sensor node (WSNs) have proliferated with the rise of the Internet of Things (IoT), uniformly sampled analog?digital converters (ADCs) have traditionally reigned paramount in the signal processing pipeline. The large volume of data generat...
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Soohyun Cho
Herein, we propose the use of the logarithmic values of data transmission rates for multi-armed bandit (MAB) algorithms that adjust the modulation and coding scheme (MCS) levels of data packets in carrier-sensing multiple access/collision avoidance (CSMA...
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Goran Loncar, Nenad Leder, Tea Duplancic Leder and Dalibor Carevic
The conditions for the occurrence of high waves in front of the Rijeka port in the Rijeka Bay were analyzed. The analysis was carried out on the basis of measured data on the wave rider station located in front of the main breakwater of the port of Rijek...
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Davide Luciano De Luca and Luciano Galasso
This study tests stationary and non-stationary approaches for modelling data series of hydro-meteorological variables. Specifically, the authors considered annual maximum rainfall accumulations observed in the Calabria region (southern Italy), and attent...
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Ashraf AlShalalfeh and Laith Shalalfeh
In rotary machinery, bearings are susceptible to different types of mechanical faults, including ball, inner race, and outer race faults. In condition-based monitoring (CBM), several techniques have been proposed in fault diagnostics based on the vibrati...
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Shijian Shen, Lan Tang, Xin Nie, Yechao Bai, Xinggan Zhang and Pin Li
This paper proposes two modified space time adaptive processing (STAP) methods based on piecewise sub-apertures and data constraints for non-stationary interference cancellation in synthetic aperture radar (SAR) applications. In these methods, the entire...
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Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
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Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho...
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E.A. Kuzhbanova,S.V. Porshnev
Pág. 32 - 38
The article substantiates an analogy between the dynamics of vessel traffic through the Kerch Strait and the dynamics of a non-stationary queuing system (QS) operating in an underloaded mode. Based on the analysis of data on the movement of ships, which ...
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Wenjie Zhang, Pin Wu, Yan Peng and Dongke Liu
The prediction of roll motion in unmanned surface vehicles (USVs) is vital for marine safety and the efficiency of USV operations. However, the USV roll motion at sea is a complex time-varying nonlinear and non-stationary dynamic system, which varies wit...
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Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
Optimal behind-the-meter energy management often requires a day-ahead electric load forecast capable of learning non-linear and non-stationary patterns, due to the spatial disaggregation of loads and concept drift associated with time-varying physics and...
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Julien Chevallier, Dominique Guégan and Stéphane Goutte
This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Rando...
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Michal Maciusowicz and Grzegorz Psuj
Magnetic Barkhausen Noise (MBN) is a method being currently considered by many research and development centers, as it provides knowledge about the properties and current state of the examined material. Due to the practical aspects, magnetic anisotropy e...
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