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Outi Montonen, Timo Ranta and Marko M. Mäkelä
Several countries utilize nuclear power and face the problem of what to do with the spent nuclear fuel. One possibility, which is under the scope in this paper, is to dispose of the fuel assemblies in the disposal facility. Before the assemblies can be d...
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Ronny Seiger, Marco Franceschetti and Barbara Weber
The increasing number of IoT devices equipped with sensors and actuators pervading every domain of everyday life allows for improved automated monitoring and analysis of processes executed in IoT-enabled environments. While sophisticated analysis methods...
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Malena Ripken, Xander Keijser, Thomas Klenke and Igor Mayer
The interaction of stakeholders is regarded key in modern environmental and spatial planning. Marine/maritime spatial planning (MSP) is an emerging marine policy domain, which is of great interest worldwide. MSP practices are characterized by diverse app...
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Malena Ripken, Xander Keijser, Thomas Klenke and Igor Mayer
The interaction of stakeholders is regarded key in modern environmental and spatial planning. Marine/maritime spatial planning (MSP) is an emerging marine policy domain, which is of great interest worldwide. MSP practices are characterized by diverse app...
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Boris Kovalerchuk and Dmytro Dovhalets
The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods for n-D data analysis exist, the lo...
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Muhammad Aminul Islam, Marie Magnusson, Richard J. Brown, Godwin A. Ayoko, Md. Nurun Nabi and Kirsten Heimann
Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable...
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Haitao Zhang, Huixian Shen, Kang Ji, Rui Song, Jinyuan Liu and Yuxin Yang
Applying spatial clustering algorithms on large-scale spatial interactive dataset to find urban hot/cold spots is a new idea to assist urban management. However, the research usually focuses on the dataset with spatio-temporal proximity, rather than remo...
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Fei Li, Bo Gao, Lun Shi, Hongtao Shen, Peng Tao, Hongxi Wang, Yehua Mao and Yiyi Zhao
With the increasing marketization of electricity, residential users are gradually participating in various businesses of power utility companies, and there are more and more interactive adjustments between load, source, and grid. However, the participati...
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Moch. Bahak Udin By Arifin,Makherus Sholeh,Abdul Hafiz,Ririn Dwi Agustin,Mahardika Darmawan Kusuma Wardana
Pág. pp. 24 - 38
The research aimed to develop interactive multimedia based on scientific inquiry to improve student mathematics problem-solving as a provision for the era of Society 5.0. The research method used is the Agile Method, which is a software development metho...
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Nixiao Zou, Qing Xu, Yuqing Wu, Xinming Zhu and Youneng Su
Augmented reality (AR) technology enables paper maps to dynamically express three-dimensional geographic information, realizing the fusion of virtual and real information. However, in the current mainstream AR development software, the virtual informatio...
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M.A. Utkin,O.V. Boyko,M.G. Zhabitskii
Pág. 46 - 50
The visualization of physical processes, support of nuclear facility safety, personnel training, and reduction of radiation dose rate are priority and essential goals in the nuclear field. The application of virtual reality can improve the analysis in th...
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M.A. Utkin,O.V. Boyko,M.G. Zhabitskii
Pág. 46 - 50
The visualization of physical processes, support of nuclear facility safety, personnel training, and reduction of radiation dose rate are priority and essential goals in the nuclear field. The application of virtual reality can improve the analysis in th...
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Mourad Belhadj, Noureddine Lahbari, Abdelkader Slimane, Djamel Aouiche
Pág. 263 - 272
The aim of this work is to present a precise numerical calculus method capable to predict the behavior of a wind turbine mast, which is characterized by an open door in its lower part in order to facilitate the access to maintenance tasks. A parametric s...
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Goran Milutinovic, Stefan Seipel and Ulla Ahonen-Jonnarth
Decision-making methods used in geospatial decision making are computationally complex prescriptive methods, the details of which are rarely transparent to the decision maker. However, having a deep understanding of the details and mechanisms of the appl...
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Di Lv, Yong Zhang, Jiongbin Lin, Peiyuan Wan and Yongli Hu
More and more people in mega cities are choosing to travel by public transportation due to its convenience and punctuality. It is widely acknowledged that there may be some potential associations between passengers. Their travel behavior may be working t...
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Lili Wei, Lingkai Kong, Zhigang Liu, Zhenglong Yang and Hua Zhang
According to the intelligent development needs of railway operation and maintenance, turnout maintenance also needs an efficient and intelligent means of detection. It is the main method used to measure the access depth of static contact manually. In ord...
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Wanli Li, Jiong Li, Ningbo Li, Lei Shao and Mingjie Li
Concerned with the problem of interceptor midcourse guidance trajectory online planning satisfying multiple constraints, an online midcourse guidance trajectory planning method based on deep reinforcement learning (DRL) is proposed. The Markov decision p...
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Kezhi Liu, Changhai Zhai and Xianghai Meng
Seismic mitigation of transportation systems has become a worldwide challenge, because identifying an optimal retrofit strategy entails significant computational efforts, especially for large-scale networks with numerous candidate strategies and time-con...
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Ye Li and Hongxiang Ren
The widespread of shipborne Automatic Identification System (AIS) equipment will continue to produce a large amount of spatiotemporal trajectory data. In order to explore and understand the hidden behaviour patterns in the data, an interactive visual ana...
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Zhuoran Jiang, Xinxin Zhou, Wei Cao, Zaihong Sun and Changbin Wu
In recent years, deep learning has become the mainstream development direction in the change-detection field, and its accuracy and speed have also reached a high level. However, the change-detection method based on deep learning cannot predict all the ch...
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