6 research outputs found

    Study on the Construction of Ecological Drainage Pipe with Critter Crossing Function

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    Critter passage can to a large extent ensure the safety of living things crossing the road and reduce the traffic mortality of living things arising from crossing the road. Outdoor drainage pipes can eliminate accumulated surface water, alleviate the drainage pressure of urban roads, and reduce the phenomenon of urban stagnant water. At present, there are many studies on the construction methods of drainage pipes, and there are also many studies on critter passage, but there is little research on the organic combination of critter passage and drainage pipes. Taking the drainage pipe as the research object, in accordance with the basic requirements of critter passage, this paper studies the construction methods of ecological drainage pipe with critter passage function, in order to solve the problem of single function of drainage pipe at present. It can provide a reference for related research in the future

    Research on the Construction of a Fully-participatory Extracurricular Learning Platform with Multiple Linkage Effects

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    In the existing research at home and abroad, the construction of extracurricular learning platform is still only focused on solving the problems of curriculum learning itself. At the same time, there are no cases of multiple linkage effects, including integrating alumni resources, promoting the construction of alumni association, promoting students' internship and employment, strengthening ties with enterprises and so on. On the basis of the original function of the alumni management system, this paper expands the sections and adds the main body of students to enrich the functions of the platform. This paper constructs a fully-participatory extracurricular learning platform with multiple linkage effect, which provides a reference for other majors inside and outside the school to establish extracurricular learning platform

    Research on the Design of Ecological Roof Based on Intelligent Management System

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    With the development of the times, the contradiction between human living and the natural environment becomes increasingly prominent. People pay more and more attention to the protection of the natural environment while improving the living standard. While, the emergence of the ecological roof can greatly improve the urban ecological environment and make full use of the architectural space. On the premise of analyzing the current status and significance of research on the ecological roof, this paper puts forward some ideas about the research on the design of the ecological roof with intelligent management system which can be used as a reference for the design of the ecological roof in the future, based on giving full consideration to the factors of ecological energy-saving, environmental protection, economic development, etc., and summarizing the shortcomings of the traditional ecological roof

    ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

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    Predicting road traffic speed is a challenging task due to different types of roads, abrupt speed change and spatial dependencies between roads; it requires the modeling of dynamically changing spatial dependencies among roads and temporal patterns over long input sequences. This paper proposes a novel spatio-temporal graph attention (ST-GRAT) that effectively captures the spatio-temporal dynamics in road networks. The novel aspects of our approach mainly include spatial attention, temporal attention, and spatial sentinel vectors. The spatial attention takes the graph structure information (e.g., distance between roads) and dynamically adjusts spatial correlation based on road states. The temporal attention is responsible for capturing traffic speed changes, and the sentinel vectors allow the model to retrieve new features from spatially correlated nodes or preserve existing features. The experimental results show that ST-GRAT outperforms existing models, especially in difficult conditions where traffic speeds rapidly change (e.g., rush hours). We additionally provide a qualitative study to analyze when and where ST-GRAT tended to make accurate predictions during rush-hour times. ?? 2020 ACM
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