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Article
Open AccessLGP-YOLO: an efficient convolutional neural network for surface defect detection of light guide plate
Light guide plate (LGP) is a key component of liquid crystal display (LCD) display systems, so its quality directly affects the display effect of LCD. However, LGPs have complex background texture, low contras...
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Chapter and Conference Paper
Optimal Pricing Algorithm of EV Cluster Demand Response Considering Time-Space Coupling and User Bounded Rationality
In recent years, the significant increase in Electric Vehicles (EVs) connecting to the power grid has posed great challenges to the secure and stable operation of distribution networks
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Chapter and Conference Paper
Hierarchical Energy Optimization Management for Multi-microgrid Based on Potential Game and Nash Bargaining Game
Multi-microgrid systems offer a flexible, reliable, efficient, and sustainable energy solution, holding significant importance for achieving efficient utilization of renewable energy. To address the issue of h...
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Chapter and Conference Paper
Research and Implementation of Building a Digital Twin Model for Electric Grid Based on Deep Learning
In the production of the power industry, digital twin technology is mainly used for the dispatch and distribution of electricity. Through real-time monitoring and analysis of key indicators in the dispatch cen...
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Chapter and Conference Paper
Research and Implementation of Data Feature Extraction Technology for Multisource Heterogeneous Data in Electric Distribution Network
With the development of information technology, the degree of information of electric power enterprises is getting higher and higher, and the data generated by business systems is also growing rapidly. Data ha...
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Chapter and Conference Paper
Research and Implementation of Rapid Construction of Digital Twins in Distribution Network Based on Data Driven
The production and operation of distribution network in China involves cross link and cross specialty efficient collaboration. The data types of each business link of distribution network are complex and diver...
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Chapter and Conference Paper
Study on Bidding Strategy for Aggregation Merchants of Electric Vehicle Clusters Using an Expectation-Entropy-Skewness Structural Model Based on Credibility Theory
With the progressive maturation of battery technology and the rapid advancement of new energy solutions, plug-in electric vehicles (PEVs) have become a vital component of the future electric grid, and their ag...
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Article
Open AccessProjectability disentanglement for accurate and automated electronic-structure Hamiltonians
Maximally-localized Wannier functions (MLWFs) are broadly used to characterize the electronic structure of materials. Generally, one can construct MLWFs describing isolated bands (e.g. valence bands of insulat...
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Article
Open AccessAutomated mixing of maximally localized Wannier functions into target manifolds
Maximally localized Wannier functions (MLWFs) are widely used in electronic-structure calculations. We have recently developed automated approaches to generate MLWFs that represent natural tight-binding sets o...
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Article
Open AccessAn Object Association Matching Method Based on V2I System
Vehicle-to-infrastructure (V2I) is one of the effective ways to solve the problem of intelligent connected vehicle perception, and the core is to fuse the information sensed by vehicle sensors with that sensed...
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Article
Open AccessTowards high-throughput many-body perturbation theory: efficient algorithms and automated workflows
The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with desired physical properties. In this w...
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Article
Assessing the role of artificial intelligence in the mental healthcare of teachers and students
The integration of artificial intelligence (AI)-grounded procedures and the Internet of Things (IoT) is very important in the advancement of smart and intelligent paradigms. These techniques can be applied ver...
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Article
A class of bionic hyper-redundant robots mimicking the bird’s neck
Some birds’ necks show excellent flexible bending ability, which can be mimicked to design bionic robot. The main challenge is how to deal with the bird neck’s inherent flexibility and redundant degrees of fre...
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Chapter and Conference Paper
Research and Implementation of Hybrid Storage Method for Multi-source Heterogeneous Data of Electric Distribution Network
The traditional relational database is difficult to efficiently store the power grid topology data with complex network relationships, which seriously restricts the application expansion of power grid topology...
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Chapter and Conference Paper
Rethinking YOLOv5 with Feature Correlations for Unmanned Surface Vehicles
Reliable and robust obstacle detection is affected by the adverse environmental conditions and objects. Traditional object detection methods cannot cover the complex scenario especially in maritime environment...
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Chapter and Conference Paper
Research on Energy Saving of Network Function Virtualization Based on OpenStack
Network service has become the most important content in the network function at the present stage, due to the limitation of technical conditions, the previous application of proprietary hardware equipment has...
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Chapter and Conference Paper
Research and Implementation of Electric Equipment Connectivity Data Analysis Model Based on Graph Database
Effective description of electric data resources is an important basis for electric data modeling. With the access of large-scale distributed new energy, electric allocation data resources are more complex and...
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Chapter and Conference Paper
Research on Mass Image Data Storage Method for Data Center
With the advancement of technology and the development of the electric power business, power enterprises have generated a large amount of image data, which contains rich potential information, and it is urgent...
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Chapter and Conference Paper
Research and Application of Digital Modeling Technology Based on Multi-source Data of Power Grid
During the production and operation process, power enterprises generate rich power data, which is distributed and stored in multiple power application information systems. Due to past management reasons, there...
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Chapter and Conference Paper
Dual Stream Cross Domain Feature Fusion for Land-Oceanic Object Detection
Unmanned platforms are equipped with dual-light sensor, but the detectors are usually trained on visible-light images. For land-oceanic objects, it is challenging to achieve the requirements of multiperiod and...