Social Signal-Driven Knowledge Automation: A Focus on Social Transportation

Lü, Hao; Zhu, Yifan; Yuan, Yong; Gong, Weichao; Li, Juanjuan; Shi, Kaize; Lv, Yisheng; Niu, Zhendong; Wang, Fei‐Yue

doi:10.1109/tcss.2021.3057332

Cited by 23 publications

(6 citation statements)

References 119 publications

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“…In ( 14), f S l t (i, j ) represents ReLU. To prevent overfitting in the fully connected layer, the dropout parameter is set to 0.5 [26]. All the feature maps when l values 5 in equation ( 12) are reconstructed into a high-dimensional single-layered neuron structure C 5 ; thus, the input Z 6 i of the i -th neuron in the sixth fully connected layer is:…”

Section: Dl-based Uav Dts Information Forecasting Model Under Covid-1...mentioning

confidence: 99%

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Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Chen

Feng

et al. 2022

IEEE Trans. Intell. Transport. Syst.

105

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The purposes are to explore the effect of Digital Twins (DTs) in Unmanned Aerial Vehicles (UAVs) on providing medical resources quickly and accurately during COVID-19 prevention and control. The feasibility of UAV DTs during COVID-19 prevention and control is analyzed. Deep Learning (DL) algorithms are introduced. A UAV DTs information forecasting model is constructed based on improved AlexNet, whose performance is analyzed through simulation experiments. As end-users and task proportion increase, the proposed model can provide smaller transmission delays, lesser energy consumption in throughput demand, shorter task completion time, and higher resource utilization rate under reduced transmission power than other state-of-art models. Regarding forecasting accuracy, the proposed model can provide smaller errors and better accuracy in Signal-to-Noise Ratio (SNR), bit quantizer, number of pilots, pilot pollution coefficient, and number of different antennas. Specifically, its forecasting accuracy reaches 95.58% and forecasting velocity stabilizes at about 35 Frames-Per-Second (FPS). Hence, the proposed model has stronger robustness, making more accurate forecasts while minimizing the data transmission errors. The research results can reference the precise input of medical resources for COVID-19 prevention and control.

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Section: Dl-based Uav Dts Information Forecasting Model Under Covid-1...mentioning

confidence: 99%

“…In (26), c is an additional hyperparameter, set to 1.10 based on experience during simulation experiments.…”

Section: Dl-based Uav Dts Information Forecasting Model Under Covid-1...mentioning

confidence: 99%

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Chen

Feng

et al. 2022

IEEE Trans. Intell. Transport. Syst.

105

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“…SLAM is a technology that uses sensors mounted on a mobile carrier to receive data and achieve localization and perception of the surrounding environment. Compared to traditional global satellite positioning technology, SLAM offers higher positioning accuracy and the ability to provide 3D maps of the surrounding environment, making it highly suitable for autonomous driving (Kong et al , 2021; Lu et al , 2021). The emergence of autonomous driving has greatly driven the development of SLAM technology, and researchers have proposed numerous excellent algorithms (Falquez et al , 2016; Qin et al , 2018; Shao et al , 2019).…”

Section: Standard Procedures For Classic Simultaneous Localization An...mentioning

confidence: 99%

A review of visual SLAM with dynamic objects

Qin,

2023

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Purpose This paper aims to provide a better understanding of the challenges and potential solutions in Visual Simultaneous Localization and Mapping (SLAM), laying the foundation for its applications in autonomous navigation, intelligent driving and other related domains. Design/methodology/approach In analyzing the latest research, the review presents representative achievements, including methods to enhance efficiency, robustness and accuracy. Additionally, the review provides insights into the future development direction of Visual SLAM, emphasizing the importance of improving system robustness when dealing with dynamic environments. The research methodology of this review involves a literature review and data set analysis, enabling a comprehensive understanding of the current status and prospects in the field of Visual SLAM. Findings This review aims to comprehensively evaluate the latest advances and challenges in the field of Visual SLAM. By collecting and analyzing relevant research papers and classic data sets, it reveals the current issues faced by Visual SLAM in complex environments and proposes potential solutions. The review begins by introducing the fundamental principles and application areas of Visual SLAM, followed by an in-depth discussion of the challenges encountered when dealing with dynamic objects and complex environments. To enhance the performance of SLAM algorithms, researchers have made progress by integrating different sensor modalities, improving feature extraction and incorporating deep learning techniques, driving advancements in the field. Originality/value To the best of the authors’ knowledge, the originality of this review lies in its in-depth analysis of current research hotspots and predictions for future development, providing valuable references for researchers in this field.

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“…e emergence of three-dimensional level broke the traditional two-dimensional level, through the extension of each level, and laid a foundation for the ultimate realization of urban complex functional space. (d) Diversity principle: the construction of urban complex, with the diversification of spatial functions as the main body and the diversification of spatial forms as the auxiliary, constitutes the public space form of urban complex [11]. Because of the performance of its functions, urban complex is divided into multiple comprehensive fields and rationally distributes commerce, residence, and transportation, thus reflecting the multiple phenotypes of public activities.…”

Section: Urban Complex Public Space Design Eorymentioning

confidence: 99%

Urban Complex Public Space Design Method Based on Support Vector Machine

Liu

2022

Mathematical Problems in Engineering

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Urban commercial complex is the product of social and economic development, as well as the inevitable trend of commercial development. The public space design of urban complex project is an important link in its development process, which is the link between the contact and the building, the city and the building, and the external image display of the complex. Therefore, choosing a suitable and excellent public space design scheme is of great significance to show the superiority of the complex project and improve the project satisfaction and the sustainable operation in the later stage. This paper first defines the concept of urban complex public space and focuses on the analysis of the urban complex public space from four aspects of constituent elements, functional classification, design theory, and principle. Then, the Delphi method is used to determine 26 evaluation indicators to evaluate the urban complex public space design scheme, and the relevant index data of 20 urban complex public space design schemes are collected. The grey correlation analysis method is used to analyze the correlation degree between each indicator and the scheme winning bid. The final evaluation system of urban complex public space design scheme is obtained after removing the 8 indicators with low correlation degree. Support vector mechanism was used to build the optimization model of urban complex public space design scheme, and its accuracy was verified, which provides a relatively simple and quantitative method for urban public space design in the future, helps to improve the city’s business structure, improves the business environment of the city, makes the commercial complex more effectively play its own characteristics and advantages, effectively stimulates the vitality of urban space, and creates more perfect architectural space and urban space for people.

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Social Signal-Driven Knowledge Automation: A Focus on Social Transportation

Cited by 23 publications

References 119 publications

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

A review of visual SLAM with dynamic objects

Urban Complex Public Space Design Method Based on Support Vector Machine

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