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Jiahao Li, Weiwei Song, Jianglong Chen, Qunlan Wei and Jinxia Wang
Yunnan Province, residing in the eastern segment of the Qinghai?Tibet Plateau and the western part of the Yunnan?Guizhou Plateau, faces significant challenges due to its intricate geological structures and frequent geohazards. These pose monumental risks...
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Bruno Paduano, Nicolás Faedo and Giuliana Mattiazzo
In the pathways towards the commercialisation of wave energy systems, the need for reliable mathematical models is of paramount importance for the design and synthesis of model-based control techniques to maximise the performance of wave energy converter...
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Xiuyuan Peng, Xiaoyu Yu, Yuzhu Luo, Yixiao Chang, Caiyan Lu and Xin Chen
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Aji Teguh Prihatno, Ida Bagus Krishna Yoga Utama and Yeong Min Jang
High particulate matter (PM) concentrations in the cleanroom semiconductor factory have become a significant concern as they can damage electronic devices during the manufacturing process. PM can be predicted before becoming more concentrated based on it...
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Luyi Bai, Li Yan and Zongmin Ma
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Zhixin Yao, Jianqin Zhang, Taizeng Li and Ying Ding
Trajectory big data is suitable for distributed storage retrieval due to its fast update speed and huge data volume, but currently there are problems such as hot data writing, storage skew, high I/O overhead and slow retrieval speed. In order to solve th...
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Lidia Serrano-Mira, Marta Pérez Maroto, Eduardo S. Ayra, Javier Alberto Pérez-Castán, Schon Z. Y. Liang-Cheng, Víctor Gordo Arias and Luis Pérez-Sanz
A Mid-Air Collision (MAC) is a fatal event with tragic consequences. To reduce the risk of a MAC, it is imperative to understand the precursors that trigger it. A primary precursor to a MAC is a loss of separation (LOS) or a separation infringement. This...
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Jiahao Shi, Jie Yu, Jinkun Yang, Lingyu Xu and Huan Xu
The prediction of marine elements has become increasingly important in the field of marine research. However, time series data in a complex environment vary significantly because they are composed of dynamic changes with multiple mechanisms, causes, and ...
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Jianguo Zheng, Yilin Wang, Shihan Li and Hancong Chen
Accurate stock market prediction models can provide investors with convenient tools to make better data-based decisions and judgments. Moreover, retail investors and institutional investors could reduce their investment risk by selecting the optimal stoc...
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Lotta Kannari, Jussi Kiljander, Kalevi Piira, Jouko Piippo and Pekka Koponen
Accurate short-term forecasts of building energy consumption are necessary for profitable demand response. Short-term forecasting methods can be roughly classified into physics-based modelling and data-based modelling. Both of these approaches have their...
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Yu Shen, Guineng Chen, Luís Miguel Martínez, João de Abreu e Silva
This paper presents a bi-level cellular agent-based model (ABM) framework, which incorporates a land cover change sub-model at the local level and a socioeconomic activity growth sub-model at the regional level. In the local sub-model, a land cell is set...
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Merwe Oberholzer
The objective of the study was to follow a logical inductive approach to develop a Data Envelopment Analysis (DEA) model to estimate the relative technical efficiency of firms. The Du Pont analysis theory as conceptual framework was applied using primari...
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Bahram Saeidifarzad, Vahid Nourani, Mohammad Taghi Aalami and Kwok-Wing Chau
Multi-site optimization of two adapted event-based geomorphologic rainfall-runoff models was presented using Non-dominated Sorting Genetic Algorithm (NSGA-II) method for the South Fork Eel River watershed, California. The first model was developed based ...
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Kwangseob Kim and Kiwon Lee
This study introduces a multi-cloud model that combines private and public cloud services for processing and managing satellite images. The multi-cloud service is established by incorporating private clouds within organizations and integrating them with ...
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Patrick Bogaert, Anne-Lise Montreuil and Margaret Chen
The ability to accurately predict beach morphodynamics is of primary interest for coastal scientists and managers. With this goal in mind, a stochastic model of a sandy macrotidal barred beach is developed that is based on cross-shore elevation profiles....
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Dushko Stavrov, Gorjan Nadzinski, Stojche Deskovski and Mile Stankovski
In this paper, we discuss an improved version of the conventional PID (Proportional?Integral?Derivative) controller, the Dynamically Updated PID (DUPID) controller. The DUPID is a control solution which preserves the advantages of the PID controller and ...
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Mirka Mobilia and Antonia Longobardi
Evapotranspiration is the major component of the water cycle, so a correct estimate of this variable is fundamental. The purpose of the present research is to assess the monthly scale accuracy of six meteorological data-based models in the prediction of ...
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Bing Han, Mingxing Hu, Jiemin Zheng and Tan Tang
The rapid expansion of cities brings in new challenges for the urban firefighting security, while the increasing fire frequency poses serious threats to the life, property, and safety of individuals living in cities. Firefighting in cities is a challengi...
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Chengshun Wang, Yufen Chen, Shulei Zheng, Yecheng Yuan and Shuang Wang
Landmarks play an essential role in wayfinding and are closely related to cognitive processes. Eye-tracking data contain massive amounts of information that can be applied to discover the cognitive behaviors during wayfinding; however, little attention h...
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Kyungwon Joo, Ju-Young Shin and Jun-Haeng Heo
For multivariate frequency analysis of hydrometeorological data, the copula model is commonly used to construct joint probability distribution due to its flexibility and simplicity. The Maximum Pseudo-Likelihood (MPL) method is one of the most widely use...
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