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Yuke Zhou, Shaohua Wang and Yong Guan
Map overlay analysis is essential for geospatial analytics. Large scale spatial data pressing poses challenges for geospatial map overlay analytics. In this study, we propose an efficient parallel algorithm for polygons overlay analysis, including active...
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Young Yoon, Minyoung Yang and Jinsoo Kim
As a consequence of globalization, increased international transport generates many pollutants. Pollution generation from other industries related to international transport also cannot be ignored. This paper thus aims to investigate the carbon emissions...
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Chen Yang and Xuefeng Cui
Water is one of the most important limiting resources for food production. How much water is needed for food depends on the size of the population, average food consumption patterns and food production per unit of water. These factors show large differen...
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Tania Kostenko
Pág. 325 - 335
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Tomas Bale?entis,Irena Kri?ciukaitiene
Pág. 8 - 17
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Kun Zhang, Jianyao Yao, Wenxiang Zhu, Zhifu Cao, Teng Li and Jianqiang Xin
The thermal protection system (TPS) represents one of the most critical subsystems for vehicle re-entry. However, due to uncertainties in thermal loads, material properties, and manufacturing deviations, the thermal response of the TPS exhibits significa...
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Yifan Wang, Jinglei Xu, Qihao Qin, Ruiqing Guan and Le Cai
In this study, we propose a novel dynamic mode decomposition (DMD) energy sorting criterion that works in conjunction with the conventional DMD amplitude-frequency sorting criterion on the high-dimensional schlieren dataset of the unsteady flow of a spik...
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Zakaria Harimech, Kainaubek Toshtay, Meiram Atamanov, Seitkhan Azat and Rachid Amrousse
The thermal decomposition of an ammonium dinitramide-based energetic compound was conducted for the first time using a dispersive inductively coupled plasma mass spectrometer, DTA-TG analysis, and pyrolysis at a constant temperature. A liquid droplet was...
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Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia and Marco Mussetta
Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inherent ...
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Tao Zhang, Zilong Hu, Xinjun Liu, Jiahao Lu, Xijie Song, Di Zhu and Zhengwei Wang
Hydroelectric power generation is an important clean energy source, and the stability of water turbine operation determines the quality of hydro energy utilization. For hydro turbines, the layout direction of the draft tube is often only considered from ...
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Turki Turki, Sanjiban Sekhar Roy and Y.-H. Taguchi
It is difficult to identify histone modification from datasets that contain high-throughput sequencing data. Although multiple methods have been developed to identify histone modification, most of these methods are not specific to histone modification bu...
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Sriniketan Sridhar, Anibal Romney and Vidya Manian
Mild Cognitive Impairment (MCI) and Alzheimer?s Disease (AD) are frequently associated with working memory (WM) dysfunction, which is also observed in various neural psychiatric disorders, including depression, schizophrenia, and ADHD. Early detection of...
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Rui Song, Jing Liu, Kunyu Niu and Yiyu Feng
Accelerating economic globalization is a major driver of the transfer of embodied pollutant emissions from trade. China and the United States are currently the largest importers and exporters of agricultural products, respectively, and are also major pro...
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Hairuilong Zhang, Yangsong Gu and Lee D. Han
Intelligent transportation systems (ITSs) usually require monitoring of massive road networks and gathering traffic data at a high spatial and temporal resolution. This leads to the accumulation of substantial data volumes, necessitating the development ...
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Nina Golyandina, Pavel Dudnik and Alex Shlemov
Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time series analysis. It allows solving various problems related to time series without the need to define a model. In this study, we focus on the problem of trend extractio...
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Xiaodong Pu, Mingdong Wei, Xiaopeng Chen, Linlin Wang and Liangwei Deng
Thermal decomposition technology is one of the main ways to treat biomass wastes. By utilizing chicken manure as raw material, thermogravimetric and derivative thermogravimetry (TG and DTG) are carried out on chicken manure at various heating rates (5, 1...
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Xiwang Xiang, Xin Ma, Zhili Ma, Minda Ma and Weiguang Cai
A timely analysis for carbon emission reduction in buildings is an effective global response to the crisis of climate change. The logarithmic mean Divisia index (LMDI) decomposition analysis approach has been extensively used to assess the carbon emissio...
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Emmanuel Senyo Fianu
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties. From this viewpoint, we propose an extended mode decomposition method useful for the time-frequen...
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Baojie Liu, Jiaxin Liu, Xianjun Yu and Guangfeng An
A high accuracy blade manufacture variation decomposition method was proposed to decompose the manufacture variations of compressor blades to systematic variation and non-systematic variation, which could help to clearly quantify the statistical characte...
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Ryo Yamawaki, Akiyo Tei, Kengo Ito and Jun Kikuchi
Bio-based polymers have been considered as an alternative to oil-based materials for their ?carbon-neutral? environmentally degrative features. However, degradation is a complex system in which environmental factors and preparation conditions are involve...
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