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223 results on '"Wang Hanning"'

3. System-level Simulation of Reconfigurable Intelligent Surface assisted Wireless Communications System

Author

Gu, Qi, Wu, Dan, Su, Xin, Wang, Hanning, Cui, Jingyuan, and Yuan, Yifei

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

Reconfigurable intelligent surface (RIS) is an emerging technique employing metasurface to reflect the signal from the source node to the destination node. By smartly reconfiguring the electromagnetic (EM) properties of the metasurface and adjusting the EM parameters of the reflected radio waves, RIS can turn the uncontrollable propagation environment into an artificially reconfigurable space, and thus, can significantly increase the communications capacity and improve the coverage of the system. In this paper, we investigate the far field channel in which the line-of-sight (LOS) propagation is dominant. We propose an antenna model that can characterize the radiation patterns of realistic RIS elements, and consider the signal power received from the two-hop path through RIS. System-level simulations of network performance under various scenarios and parameter.

Published
2022

5. Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing

Author

Wang Hanning, Xu Weixiang, Jiulin Yang, Lili Wei, and Jia Chaolong

Subjects
Mathematics, QA1-939
Abstract

The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making. Strong computing ability and valid mass data management mode provided by the cloud computing, is feasible for handling Skyline continuous query in the mass distributed uncertain transportation data stream. In this paper, we gave architecture of layered smart transportation about data processing, and we formalized the description about continuous query over smart transportation data Skyline. Besides, we proposed mMR-SUDS algorithm (Skyline query algorithm of uncertain transportation stream data based on micro-batchinMap Reduce) based on sliding window division and architecture.

Published
2013
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6. Track Irregularity Time Series Analysis and Trend Forecasting

Author

Jia Chaolong, Xu Weixiang, Wang Futian, and Wang Hanning

Subjects
Mathematics, QA1-939
Abstract

The combination of linear and nonlinear methods is widely used in the prediction of time series data. This paper analyzes track irregularity time series data by using gray incidence degree models and methods of data transformation, trying to find the connotative relationship between the time series data. In this paper, GM (1,1) is based on first-order, single variable linear differential equations; after an adaptive improvement and error correction, it is used to predict the long-term changing trend of track irregularity at a fixed measuring point; the stochastic linear AR, Kalman filtering model, and artificial neural network model are applied to predict the short-term changing trend of track irregularity at unit section. Both long-term and short-term changes prove that the model is effective and can achieve the expected accuracy.

Published
2012
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30. Dietary Plant Extracts in Improving Skeletal Muscle Development and Metabolic Function.

Author

Xiang, Jinzhu, Du, Min, and Wang, Hanning

Subjects
PLANT extracts, MUSCLE growth, SKELETAL muscle, INSULIN receptors, TYPE 2 diabetes, MUSCULAR atrophy, MUSCLE mass
Abstract

Skeletal muscle is a critical tissue for physiological activity and energy utilization, and its insulin resistance is indispensable for the development of Type 2 diabetes. Dietary intervention has become one of efficient methods for enhancing metabolic health of skeletal muscle. Plant extracts from fruits, tea, vegetables, and Chinese herbal medicine, have been demonstrated to enhance myogenesis, reduce muscle atrophy, and improve muscle oxidative functions. In this review, the current knowledge about plant extracts and their application in the management of skeletal muscle development and metabolic function are discussed. The possible underlying mechanisms are also described. Based on existing literature, dietary plant extract supplementation is a promising method of maintaining skeletal muscle mass and alleviating muscle-related metabolic diseases. [ABSTRACT FROM AUTHOR]

Published
2023
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