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Chapter and Conference Paper
Effect of Raw Material Size on Sintering Quality
In order to improve the output and quality of sinter, the influence of the size of the on the quality of the sinter was studied. The results show that the change trend of the size is consistent with th...
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Chapter and Conference Paper
Optimization of Delivery Path for Community Group Buying Cold and Fresh Products Under Multi-Objective Conditions
In response to the problems of high transportation costs, high product losses, and low customer satisfaction in the distribution process of community group buying cold and fresh products, a multi-objective dis...
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Chapter and Conference Paper
Wind Turbine Main Bearing Fault Detection for New Wind Farms with Missing SCADA Data
The installed capacity of wind turbines has been continuously increasing over the past two decades, but it is hard to implement existing bearing fault detection methods to new wind farms since the lack of faul...
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Chapter and Conference Paper
The Impact of Digital Economy on Farmers’ Income——A Mechanism Analysis Based on Farmers’ Credit
In the context of digital China, the digital economy has become an important engine of China’s economic growth. In combination with the rural revitalization policy proposed in the No. 1 central document of the...
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Chapter and Conference Paper
Research on Flue Gas Purification Renovation of Blast Furnace Hot Blast Furnace in Steel Works Based on New Wet Desulphurization Technology
According to the “Opinions on Promoting the Implementation of Ultra-Low Emission in the Iron and Steel Industry” and “Emission Standards for Air pollutants in the Iron and Steel Industry” in China, the flue ga...
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Chapter and Conference Paper
Reducing MgO Content of Blast Furnace Slag
In order to improve technical and economic indexes of ironmaking (BF), of with low (MgO) were studied systematically based on the laboratorial and industrial tests. The results showed the melting temperatu...
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Chapter and Conference Paper
Discovering Multimodal Hierarchical Structures with Graph Neural Networks for Multi-modal and Multi-hop Question Answering
Multimodal reasoning is a challenging task that requires understanding and integrating information from different modalities, such as text and image. Existing methods for multimodal reasoning often fail to cap...
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Chapter and Conference Paper
Hybrid Time Step Day-Ahead Optimal Scheduling of the PV-Cascade Hydro Complementary Power Plant Based on PV Output Forecast
Accurately forecast of photovoltaic output and a PV-cascade hydro complementary power plants are important means to make up for the fluctuation of PV power. First, LSTM is formed to estimate the power output o...
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Chapter and Conference Paper
Application Prospect of LNG Storage Tanks in the Yangtze River Coast Based on Economic Model
In order to clarify the competitiveness of LNG tank container serving the regions along the Yangtze River, and guide the layout scale of LNG terminals, based on the definition of LNG tank container, analyzed t...
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Chapter
Analysis on Fatigue Crack of Orthotropic Steel Bridge Decks
Through the detection of the steel structure bridge for 7 years, the main distribution of cracks in steel box girder of steel structure bridge was presented. Through the numerical analysis of the steel box gir...
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Chapter and Conference Paper
Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks
Urban flow super-resolution (UFSR) can deduce fine-grained urban flow heatmap (UFH) based on coarse-grained observations and plays an essential role in urban planning (traffic prediction, public facility deplo...
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Chapter and Conference Paper
The Time Series Data Classification Method Based on Deep Spatial Transformer Network
In this paper, we propose a deep spatial transformer network (DSTN) to classify the time series data
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Chapter and Conference Paper
Maintenance Data Collection and Analysis of Road Transport Vehicles’ Safety Components
Vehicle technology management covers the whole process from purchase to scrap**. Only by improving the level of vehicle technology management can we ensure the safe operation of vehicles and enhance the use ...
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Chapter and Conference Paper
A Novel Blockchain-Based Revocable Permission Management on CP-ABE Scheme
Relying on the characteristics of decentralized, tamper-proof, and traceable, blockchain technology has begun to be widely used in permission management. It can be used for access control by using smart contra...
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Chapter and Conference Paper
RGB to HSV Conversion Based on FPGA
By analyzing the conversion algorithm between RGB and HSV, this paper proposes a fast algorithm to convert RGB space to HSV space. The algorithm adopts shift operation and lookup table instead of floating-poin...
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Chapter and Conference Paper
Research on Service Quality Evaluation System of Automobile Maintenance Enterprises Based on AHP
With the development of automobile industry, automobile maintenance industry is closely related to people’s production and life, and plays an increasingly important role in the development of China’s market ec...
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Chapter and Conference Paper
Research on Big Data Analysis and Evaluation Method of In Use Vehicle Technology
An evaluation method of the technical condition of vehicle is put forward. Through the calculation and analysis of the big data recorded in the history of automobile maintenance and repair, the fuzzy analytic ...
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Chapter and Conference Paper
New Energy Vehicle Reliability Research by Large Data
This paper presents a theory of large data analysis of vehicle reliability based on vehicle fault data. By collecting fault data of vehicles with different energy types, the theory of vehicle fault statistics ...
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Chapter and Conference Paper
Research on Production of Stereoscopic UAV Aerial Photography Based on Optical Flow Image Migration Technology
In this paper, a method to convert aerial image from the unmanned aerial vehicle (UAV) to stereo images based on optical flow image migration technology is proposed. First, the disparity map is generated by op...
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Chapter and Conference Paper
High-Order Attention Networks for Medical Image Segmentation
Segmentation is a fundamental task in medical image analysis. Current state-of-the-art Convolutional Neural Networks on medical image segmentation capture local context information using fixed-shape receptive ...
