Warehousing as an important link in the logistics process, the application of intelligent warehousing, to ensure the accuracy of data and transmission speed of goods in all aspects of warehousing, so that warehouse ma...
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The mining industry presents challenges, which are constantly being overcome. Part of these challenges is the optimal administration and management of the times that various activities carry out, one of these being th...
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This paper studies the optimal operation of integrated energy system and the participation mechanism of demand side response, establishes the operation optimization model of integrated energy system, and puts forward ...
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At the current stage of the development of science and technology, there is a significant increase in the amount of data that characterize the properties of different objects. Timely dataprocessing and results analys...
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Specific emitter identification plays a pivotal role in electronic countermeasures within the realm of complex electromagnetic environments. This study introduces a novel method for specific emitter identification, le...
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process-induced warpage is critical in power module fabrication as it impacts operation, alignment, thermal performance, and reliability, leading to reduced yield and production efficiency. Warpage arises primarily fr...
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A small object detection method based on the combination of global and local attention mechanism is proposed in this paper to detect small objects distributed in images. object detection model based on local attention...
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ISBN:
(纸本)9798350321050
A small object detection method based on the combination of global and local attention mechanism is proposed in this paper to detect small objects distributed in images. object detection model based on local attention mechanism has good detection accuracy and speed. However, its performance will be reduced due to the smaller size of the object, especially in the case of missed detection and false detection, and the proposed Global Local Detection Model (GLD) can solve this problem. Specifically, a model solution of the Global and Local Combined Attention Block (GL-CAB) combining deep global features and shallow local features of the network is proposed to solve the problem of small object missed detection. On the one hand, the model focuses on small object s in the local and global ranges, and on the other hand, it supplements the small object information lost during the down-sampling process. Aiming at the situation of pseudo-information generated by small object feature fusion, a multi-branch feature pyramid network (MB-FPN) is proposed. Multi-input is used to form multi-scale feature maps for multi-feature fusion on different branches, which reduces the formation of pseudo-information and enhances the extraction of detailed features of small object by the network. Then, the AU-AIR and VOC2007 datasets are selected for experimental training, and the object detection evaluation indicators (AP, AR, F1, mAP, and FPS) are introduced for comparative analysis. Finally, the simulation results show that the proposed method has better performance to solve the problem of missed detection and false detection of small object.
This paper research will focus on the application and implementation of coordinate data transformation from 2D to 3D, in terms of the human skeleton recognition area. Then the processed 3D skeleton nodes data will be ...
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The proceedings contain 178 papers. The special focus in this conference is on Signal and Information processing, Network and Computers. The topics include: Research on Real-Time Monitoring Method of Spot Beam Antenna...
ISBN:
(纸本)9789811933868
The proceedings contain 178 papers. The special focus in this conference is on Signal and Information processing, Network and Computers. The topics include: Research on Real-Time Monitoring Method of Spot Beam Antenna Direction on Satellites;A Novel SOC Estimation Approach for the Lithium-Ion Battery Pack Using in the Deep Space Landers;analysis of Characteristics and Requirements of Large LEO Constellations Management;research on Space Project Systems Technological Risk Assessment Based on Multi-level Fuzzy Comprehensive Evaluation;research on the System Construction of Spaceborne Adaptive Software and Its Key Technologies;air-Space-Ground Integrated Information Network: Technology, Development and Prospect;high-Resolution Satellite Radiation Big data All-Statistical Intelligent Screening Technology;EMC System control on XX-2 Satellite;transmission and control of the Image data from Remote Sensing Satellite to the Ground Station;micro-vibration Attenuation Design, analysis and Verification for Agile Remote Sensing Satellite;LDPC Coding and Decoding Algorithm of Satellite Communication in High Dynamic Environment;Practice and Research on FMEA of Telecommunication Satellite System;characterization of On-Orbit Temperature and Pressure Performance for Hydrazine Propulsion System;On-Orbit Calibration of a 7-DOF Space Arm;correlation analysis and Forecast of Electric Vehicle Charging Stations Considering Seasonal Factors;Inversion modeling Study of Dissolved Oxygen in Wangyu River Based on BP Neural Network;research on Satellite Energy Autonomous Security Strategy;Research and Development of High Speed and Large Bandwidth MIMO data Transmission Test System;Continuous Evolution for Efficient Neural Architecture Search Based on Improved NSGA-III Algorithm;research on Individual Identification of Radar Emitter Based on Multi-domain Features.
In order to analyze the impact of operating conditions on the performance of hydrogen fuel cell systems and optimize the external operating conditions of fuel cells, this paper takes an electrically hybrid hydrogen fu...
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In order to analyze the impact of operating conditions on the performance of hydrogen fuel cell systems and optimize the external operating conditions of fuel cells, this paper takes an electrically hybrid hydrogen fuel cell bus as the research object, adopts a data driven hydrogen fuel cell stack model, establishes a simulation model and performance simulation platform for the hydrogen fuel cell system, and analyzes the output characteristics of the hydrogen fuel cell stack under different temperatures, humidity, and stoichiometric ratios. It turns out that the optimum working temperature of the target stack is 61 celcius;When the target reactor is operated at the optimum operating temperature, humidification of cathode and anode can effectively improve the relative humidity distribution of MEA;The best stoichiometric ratio of the target reactor is & lambda;= 2. The model obtains the optimal operating *** results of this study provide a basis for setting the optimal operating parameters of this type of Hydrogen fuel cell system, and the research method also has reference significance for other Hydrogen fuel cell systems to set the target operating parameters.
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