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María Elena Tejeda-del-Cueto, Manuel Alberto Flores-Alfaro, Miguel Toledo-Velázquez, Lorena del Carmen Santos-Cortes, José Hernández-Hernández and Marco Osvaldo Vigueras-Zúñiga
The objective of this study is to develop a genetic algorithm that uses the IGP parameterization to increase the lift coefficient (CL) of three airfoils to be used on wings of unmanned aerial vehicles (UAVs). The geometry of three baseline airfoils was m...
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Tianfu Wang, Chang Ren, Yun Luo and Jing Tian
Spatial clustering analysis is an important spatial data mining technique. It divides objects into clusters according to their similarities in both location and attribute aspects. It plays an essential role in density distribution identification, hot-spo...
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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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Zhao Lei, Hu Lai, Zhang Hua and Chen Hua
Aiming at the problems of low efficiency, heavy quality, and high cost of traditional components, it is necessary to study a design and analysis method of non-standard components. Taking the non-standard parts-turret loading and -unloading device as the ...
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Kaiting Xie, Zhaoguo Zhang and Faan Wang
Integrating modern information technology with traditional agriculture has made agricultural machinery navigation essential in PA (precision agriculture). However, agricultural equipment faces challenges such as low positioning accuracy and poor algorith...
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Wei Fan, Hao Cui, Hong Lu, Lanqi Meng and Qiaohua Wang
The sterilization of liquid eggs plays a crucial role in the production of liquid egg products. Traditional pasteurization techniques can easily cause protein denaturation, while non-thermal sterilization techniques are often constrained by processing in...
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Matija Milanic and Rok Hren
The Adding-Doubling (AD) algorithm is a general analytical solution of the radiative transfer equation (RTE). AD offers a favorable balance between accuracy and computational efficiency, surpassing other RTE solutions, such as Monte Carlo (MC) simulation...
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Nenad Marku? and Mirko Su?njevic
Recently, there has been renewed interest in signed distance bound representations due to their unique properties for 3D shape modelling. This is especially the case for deep learning-based bounds. However, it is beneficial to work with polygons in most ...
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Damir Karabaic, Marko Kr?ulja, Sven Maricic and Lovro Liveric
The most commonly used subsea pipeline installation method is the S-Lay method. A very important and complex task in an S-Lay installation engineering analysis is to find the optimal pipelay vessel installation configuration for every distinctive pipelin...
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Mariia Pokushko, Alena Stupina, Inmaculada Medina-Bulo, Svetlana Ezhemanskaya, Roman Kuzmich and Roman Pokushko
The aim of this study is to solve the problem of increasing the efficiency of fuel and energy complex enterprises. Because such enterprises are complex systems, it is difficult to optimize their work, taking into account all the technical indicators of s...
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Andrés F. Ochoa-Muñoz and Javier E. Contreras-Reyes
Missing or unavailable data (NA) in multivariate data analysis is often treated with imputation methods and, in some cases, records containing NA are eliminated, leading to the loss of information. This paper addresses the problem of NA in multiple facto...
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Li Li, Zhongxu Zhang, Dongsheng Zhao, Yue Qiang, Bo Ni, Hengbin Wu, Shengchao Hu and Hanjie Lin
The occurrence of debris flows are a significant threat to human lives and property. Estimating the debris flow scale is a crucial parameter for assessing disaster losses in such events. Currently, the commonly used method for estimating debris flow runo...
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Seunghyun Lee, Jiho Lee, Jae-Min Lee, Hong-Woo Chun and Janghyeok Yoon
Social issues refer to topics that occur and become increasingly focused in various areas of society. Because of the evolutionary pattern of issues, detecting social issues requires monitoring various stories formed by members of society over time. Vario...
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Dominic Windisch, Christian Kaever, Guido Juckeland and André Bieberle
In this article, we introduce a parallel algorithm for connected-component analysis (CCA) on GPUs which drastically reduces the volume of data to transfer from GPU to the host. CCA algorithms targeting GPUs typically store the extracted features in array...
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Chaeog Lim, Ik-seung Han, Ju-Young Kang, Im-jun Ban, Byungkeun Lee, Jun Soo Park and Sung-chul Shin
Global ship analysis is conducted using a finite element model (FE model) for ship design and construction, which involves structural, motion, and vibration analyses. It is crucial to examine the structural safety of the hull and motion response. In the ...
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Wenchao Wang, Hongwang Du, Wei Xiong and Yong Nie
Component parameters directly affect the dynamic characteristics of suspension systems in small rescue craft. To study and improve the vibration reduction performance of a new suspension system, sensitivity analysis and genetic algorithm (GA) optimizatio...
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Dong Wu, Zhichao Jia, Yanqi Zhang and Junhui Wang
The heat dissipated from high geo-temperature underground surrounding rocks is the main heat source of working faces, while thermal water upwelling and trickling into the roadway will notably deteriorate the mine?s climate and thermal comfort. Predicting...
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Haoxuan Li, Zhenzhong Shen, Yiqing Sun, Yijun Wu, Liqun Xu, Yongkang Shu and Jiacheng Tan
Seepage is the primary cause of dam failures. Conducting regular seepage analysis for dams can effectively prevent accidents from occurring. Accurate and rapid determination of seepage parameters is a prerequisite for seepage calculation in hydraulic eng...
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Zhenwei Yang, Hang Lv, Xinyi Wang, Hengrui Yan and Zhaofeng Xu
In recent years, inrush water has hampered the regular mining of coal mines, and the proper identification of the source of inrush water is critical to the prevention and management of water hazards in mines. This paper extracts the standard water chemis...
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Runjuan Zhou, Kuo Zhang and Ming Zhang
A back-propagation neural network (BPNN) was used to model and optimize the process of hydroxylamine (HA)-enhanced Fe2+ activating peroxymonosulfate (PMS). Using HA-enhanced Fe2+ to activate PMS is a cost-effective method to degrade orange II (AO7). We i...
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