|
|
|
|
|
Filippo Giorcelli, Sergej Antonello Sirigu, Giuseppe Giorgi, Nicolás Faedo, Mauro Bonfanti, Jacopo Ramello, Ermanno Giorcelli and Giuliana Mattiazzo
Among the challenges generated by the global climate crisis, a significant concern is the constant increase in energy demand. This leads to the need to ensure that any novel energy systems are not only renewable but also reliable in their performance. A ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Patrick Toman, Nalini Ravishanker, Nathan Lally and Sanguthevar Rajasekaran
With the advent of the ?Internet of Things? (IoT), insurers are increasingly leveraging remote sensor technology in the development of novel insurance products and risk management programs. For example, Hartford Steam Boiler?s (HSB) IoT freeze loss progr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yunzhou Chen, Shumin Wang, Ziying Gu and Fan Yang
Spatial population distribution data is the discretization of demographic data into spatial grids, which has vital reference significance for disaster emergency response, disaster assessment, emergency rescue resource allocation, and post-disaster recons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zihao Zhu and Yonghua Xie
Black soil plays an important role in maintaining a healthy ecosystem, promoting high-yield and efficient agricultural production, and conserving soil resources. In this paper, a typical black soil area of Keshan Farm in Qiqihar City, Heilongjiang Provin...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dimitris Fotakis, Panagiotis Patsilinakos, Eleni Psaroudaki and Michalis Xefteris
In this work, we consider the problem of shape-based time-series clustering with the widely used Dynamic Time Warping (DTW) distance. We present a novel two-stage framework based on Sparse Gaussian Modeling. In the first stage, we apply Sparse Gaussian P...
ver más
|
|
|
|
|
|
|
|
|
|
|
Run Zhou, Jingyan Jiang, Jianhua Qin, Ning Du, Haoran Shi and Ying Wang
The corrugated compensators are important components in the piping system, absorbing mechanical deformation flexibly. To reduce the risk of the piping system with corrugated compensators and improve the safety and stability of industrial equipment, condi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sabrina Mechati, Meriem Zamouche, Hichem Tahraoui, Oumaima Filali, Safa Mazouz, Iheb Nour Elhak Bouledjemer, Selma Toumi, Zakaria Triki, Abdeltif Amrane, Mohammed Kebir, Sonia Lefnaoui and Jie Zhang
This study conducts a comprehensive investigation to optimize the degradation of crystal violet (CV) dye using the Fenton process. The main objective is to improve the efficiency of the Fenton process by optimizing various physicochemical factors such as...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zi-Lu Ouyang, Zao-Jian Zou and Lu Zou
This paper aims to study the nonparametric modeling and control of ship steering motion. Firstly, the black box response model is derived based on the Nomoto model. Then, the establishment of a nonparametric response model and prediction of ship steering...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sen Wang, Jintai Gong, Haoyu Gao, Wenjie Liu and Zhongkai Feng
In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial?temporal variability under the influences of multiple physical factors from both climate events and human act...
ver más
|
|
|
|
|
|