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Chih-Chao Chung and Shi-Jer Lou
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Hua Liu and Sheng Ge
Internet finance is a new form of finance that applies capacities found on the Internet to the traditional financial industry. However, at the present stage, internet finance is faced with many problems, such as overly rapid development and non-standard ...
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Lionel Touseau and Nicolas Le Sommer
With the emergence of the Internet of Things, environmental sensing has been gaining interest, promising to improve agricultural practices by facilitating decision-making based on gathered environmental data (i.e., weather forecasting, crop monitoring, a...
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Artemiy Belousov, Ivan Kisel, Robin Lakos and Akhil Mithran
Algorithms optimized for high-performance computing, which ensure both speed and accuracy, are crucial for real-time data analysis in heavy-ion physics experiments. The application of neural networks and other machine learning methodologies, which are fa...
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Qingyu Zhu, Qingkai Han, Jinguo Liu and Changshuai Yu
In this paper, a finite element model updating (FEMU) method is proposed based on the response surface model (RSM) and genetic algorithm (GA) to establish a high-precision finite element (FE) model of space station scientific experiment racks. First, the...
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V. V. Kravets,V. V. Kravets,T. V. Kravets
Pág. 155 - 160
The system of four quaternion matrices for presentation of main relationships of the theory of final rotation, kinematics and nonlinear dynamics of an asymmetric solid body in a three-dimensional space is presented. By means of application of equations i...
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Anand Singh Rajawat, S. B. Goyal, Pradeep Bedi, Tony Jan, Md Whaiduzzaman and Mukesh Prasad
Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items such as small sensors/actuators and other cyber-physical devices (CPDs) in medical services. When these devices are linked together, they can support patients throug...
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Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan and Jie Wu
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models. However, this centralized computing method increases storage space, the load on network band...
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Evaggelos Kaselouris, Stella Paschalidou, Chrisoula Alexandraki and Vasilis Dimitriou
The transient acoustic dynamics of a splash cymbal are investigated via the Finite Element Method-Boundary Element Method. Real three-dimensional motion data recorded from the interaction of drummer?drumstick?cymbal provide the initial and the loading co...
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Tsu-Chuan Shen and Edward T.-H. Chu
Existing elevator systems lack the ability to display the number of people waiting on each floor and inside the elevator. This causes an inconvenience as users cannot tell if they should wait or seek alternatives, leading to unnecessary time wastage. In ...
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Prathamesh Lahande, Parag Kaveri and Jatinderkumar Saini
Cloud computing delivers robust computational services by processing tasks on its virtual machines (VMs) using resource-scheduling algorithms. The cloud?s existing algorithms provide limited results due to inappropriate resource scheduling. Additionally,...
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Matthew J. Taylor, Ché Fornusek, Philip de Chazal and Andrew J. Ruys
Functional Electrical Stimulation (FES) uses electrical pulses to cause muscles to contract synthetically. When muscles contract due to stimulation, torques are produced around joints attached to the muscle. It is important to understand torques being pr...
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Sangsung Park and Sunghae Jun
Cognitive artificial intelligence (CAI) is an intelligent machine that thinks and behaves similar to humans. CAI also has an ability to mimic human emotions. With the development of AI in various fields, the interest and demand for CAI are continuously i...
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Dhanalakshmi Bettahalli Kengegowda, Srikantaiah Kamidoddi Chowdaiah, Gururaj Harinahalli Lokesh and Francesco Flammini
Cloud computing is concerned with effective resource utilization and cost optimization. In the existing system, the cost of resources is much higher. To overcome this problem, a new model called Classification and Merging Techniques for Reducing Brokerag...
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Dmitry Ilin,Evgeny Nikulchev
Pág. 45 - 52
The paper presents an analysis of the effectiveness of two NoSQL database schemas for saving a stream of semi-structured data with specified characteristics. A framework based on virtual machines was prepared for the experimental research. It simulates t...
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Zhangren Tu, Huiting Liu, Jiaying Zhan and Di Guo
Multidimensional nuclear magnetic resonance (NMR) spectroscopy is one of the most crucial detection tools for molecular structure analysis and has been widely used in biomedicine and chemistry. However, the development of NMR spectroscopy is hampered by ...
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JunWeon Yoon, TaeYoung Hong, ChanYeol Park, Seo-Young Noh and HeonChang Yu
High-performance computing (HPC) uses many distributed computing resources to solve large computational science problems through parallel computation. Such an approach can reduce overall job execution time and increase the capacity of solving large-scale...
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Cheol Won Lee, Jun Dong Lee, Junho Ahn, Hyung Jun Oh, Jung Kyu Park and Heung Seok Jeon
The grid map, representing area information with the number of cells, is a widely used mapping scheme for mobile robots and simultaneous localization and mapping (SLAM) processes. However, the tremendous amount of cells in a grid map for a detailed map r...
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Eugene Tikhonov,Manfred Sneps-Sneppe
Pág. 17 - 24
The article describes one of the powerful tools for the signals analysis while transmission ? complex mathematics. Here the basic concepts (complex numbers, complex signal as expansion of a real signal to a complex-valued function) and some operations (e...
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Jiayuan Tao, Yuwei Wang, Bolin Cai and Keyi Wang
Planar targets with known features have been widely used for camera calibration in various vision systems. This paper utilizes phase-shifting wedge grating (PWG) arrays as an active calibration target. Features points are encoded into the carrier phase, ...
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