Strategy for Enhancing Fairing Air Conditioning Security Capacity in the On-Time Launch of Chinese Mars-1 ExplorationJunxin, Zhang; Wenan, Zhong; Zhongye, Wu; Laping, Xu; Gang, Li; Chuang, Zhang; Xiaojie, Zhang; Yuchao, Wang
doi: 10.1088/1742-6596/2006/1/012060pmid: N/A
For the launch of Chinese Mars-1 exploration in a coastal spaceport at noon, summer, there are issues such as big fairing size, complex fairing layout and uncertain flow field of fairing. The author conducted analysis of fairing air conditioning security by thermodynamic modeling calculation and CFD simulation and proposed specific improvement measures to secure on-time launch according to the calculation analysis conclusions. Special test verification was conducted after the carrier rocket transfer. The improvement measures were proven to be effective. During mission launch, the fairing environment security is good. After fairing air conditioning decoupling, the fairing inside temperature rise is within the required scope, ensuring on-time launch of Mars exploration.
An Improved Semantic Segmentation Model for Remote Sensing Images based on HRNetZhou, Xiaolan
doi: 10.1088/1742-6596/2006/1/012046pmid: N/A
Deep learning has been greatly improved recently, and natural image processing based on deep learning has also been greatly improved. However, there are still great differences between natural images and remote sensing images, among which the biggest is that the size of the target in remote sensing images is greatly different, which requires the model to have a strong multi-scale processing ability. In order to meet this goal, we use HRNet with full multi-scale fusion capability to replace ResNet to process remote sensing images. HRNet fully integrates low-level detail features, middle-level structure features and high-level semantic features, which is very suitable for remote sensing images. The experimental results show that our method has been greatly improved.
Evaluation Model of Grain System Based on AAQN Index SystemGe, Ying; Chen, Wen; Zhang, Yinxuanye
doi: 10.1088/1742-6596/2006/1/012024pmid: N/A
According to UN FAO, global food production in 2019 reached 2.722 billion tons, showing high profitability and efficiency levels[1]. However, while we enjoy fresh and nutritious food, people in Africa and Central Asia are suffering from starvation and nutritional deficiencies. Despite the high profitability and efficiency levels, the existing food systems are challenged by equity and sustainability problems. In order to assess the current food system and propose a rational optimization approach, we propose a linear and hierarchical food system based on the priorities of food flow and distribution. To quantify food security based on food systems, we develop the AAQN Index system to measure the affordability, availability, quality& safety, and natural resources& resilience of a food system based on the Global Food Security Index (GFSI). We select 68 indicators and calculate the indicator weights by combining the entropy weight method (EWM) with GFSI. By systematically clustering the calculated results, we classified the food systems of 113 countries/regions into: excellent, normal, and poor. Then, we adjust the priorities of the Indian food system, a poor food system, to reveal the differences before and after optimization. Finally, by predicting the future AAQN Index of Indian through Grey Relational Analysis.
Peer review declarationdoi: 10.1088/1742-6596/2006/1/011002pmid: N/A
All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information:• Type of peer review: Double-blind• Conference submission management system: AI Scholar System• Number of submissions received: 125• Number of submissions sent for review: 121• Number of submissions accepted: 73• Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 58.4%• Average number of reviews per paper: 2• Total number of reviewers involved: 40• Any additional info on review process:• Step 1. Each of selected paper will be reviewed by two/three professional experts in the related subject area.• Step 2. Review Reports received from the experts will be judged by one of the editors either Review Reports are logical or not?• Step 3. If not logical, then editor can assign new reviewer or can also judge at his/her own.• Step 4. If logical, then Review Reports will be sent to authors to modify the manuscript accordingly.• Step 5. Authors will be required to revise their papers according to the points raised.• Step 6. Revised version will then be evaluated by the editor for the incorporation of the points raised by the reviewers.• Step 7. Then the editor will send the revised manuscript to the reviewers again for re-evaluation.• Step 8. If the reviewers approve the revise version of the manuscript, then will be accepted for publication.• Contact person for queries:Xuexia [email protected] Academic Exchange Information Centre
Analysis and Practice of Detection Methods for Goafs in Complex Coal MinesLi, Xueliang; Wang, Jinpeng; Guo, Xiaoli
doi: 10.1088/1742-6596/2006/1/012056pmid: N/A
The structure of the coal mine goaf is complex and its stability is easily affected by many factors. The use of reasonable detection methods to obtain basic data on the development characteristics of the overburden cavities, cracks and separations in the goaf is very important for the development and construction of the goaf. Meaning. The article summarizes and analyzes the currently commonly used goaf detection methods, and compares their applicability and advantages and disadvantages. Finally, the combination of engineering examples verifies the use of drilling core, drilling TV camera technology, and geophysical logging. The method provides a certain reference for the design and construction of the goaf detection project for the reliability of the goaf detection.
Prediction of PM2.5 concentration in Guangxi region, China based on MLR-ARIMAWei, Pengzhi; Xie, Shaofeng; Huang, Liangke; Zhu, Ge; Tang, Youbing; Zhang, Yabo
doi: 10.1088/1742-6596/2006/1/012023pmid: N/A
In recent years, the problem of atmospheric pollution has received more and more attention. Combining the concentration data of various air pollutants monitored by the air quality monitoring stations in Nanning, Guilin, and Baise in Guangxi province in 2017 and the precipitable water vapor (PWV) data obtained by sounding stations in the three cities, analyzed the changes of PM2.5 and PWV in major cities in Guangxi and build the multiple linear regression-differential autoregressive moving average (MLR-ARIMA) models respectively make short-term predictions for the changes in PM2.5 concentration in the three cities. Among them, the mean absolute error (MAE) of the prediction results of Nanning, Guilin and Baise are 7.57μg/m3, 12.75μg/m3 and 7.67μg/m3, compared with the multivariate linear regression model and the neural network model, the prediction accuracy of this model in Nanning is 43.55% and 46.50% higher than that of the multiple linear regression model and neural network model, respectively, and in Baise is 21.41% and 26.32% higher accordingly, The model prediction effect in Guilin is optimal for the neural network model, which improves 24.46% and 11.84% compared with MLR and MLR-ARIMA models, respectively, where MLR-ARIMA model still has 14.31% accuracy improvement compared with MLR model. This study has some reference value for PM2.5 prediction work in major cities in Guangxi, China.
Research of Airfoil Optimization Based on CST Method and Genetic AlgorithmZhang, Jing; Chen, Chang; Si, Wenjie; Chai, Xudong; Hong, Yan; Yang, Xueqi; Wang, Yanning
doi: 10.1088/1742-6596/2006/1/012062pmid: N/A
Aiming at the aerodynamic optimization problem of guided ammunition airfoil, genetic algorithm is used to optimize the lift-drag ratio of the airfoil based CST geometric description method with given inflow velocity and fixed angle of attack. Firstly, the parameter space generated by CST parameterized airfoil description method is performed with binary code and the basic operations of genetic algorithm such as selection, crossover and mutation. Then, the external CFD solver is called to automatically divide the grid and calculate the lift-drag ratio through the control script. Finally, the target solution is obtained by searching. The calculation results show that this method can obtain a optimal target solution in relative less generation for a group of airfoils generated randomly in a certain search space.
Long-term evolution analysis of coastal geomorphology in Jiangsu based on Google Earth EngineYan, Gu; Ruoyu, Tao; lijun, Yang; Tao, Jin
doi: 10.1088/1742-6596/2006/1/012045pmid: N/A
In the past few decades, the tidal flats along the Jiangsu coast have been extensively modified, which has affected the function of a tidal flat ecosystem. In this paper, 4556 Landsat remote sensing images were processed based on the Google Earth Engine to classify features in the region from 1989 to 2019, and the overall and local geomorphology of the Jiangsu coastal area in the past three decades were analyzed and discussed. The trend of tidal flats in the study area has decreased 345.61 km2, with an average loss of 11.52 km2 per year. The expansion of human activities has led to the migration of the Jiangsu coast to the sea, the reduction of natural coastline fragmentation, and the expansion of artificial coastline to the sea.