Design and Research on Tourism E-commerce Platform

this paper analyzes application status of tourism e-commerce in China and the Existing problems, points out that the construction of tourism e-commerce platform is an important part of the development of tourism electronic commerce. The implementation of all business systems of various tourism enterprise data integration and information integration, the travel industry, all kinds of information resources for collaborative centralized management. By connecting the information management system of scattered all corporate travel value chain, realize the unified operation in the tourism e-commerce platform, improve the exchange of information and online transaction speed. According to our country＇ s tourism status and characteristics, from the feasibility analysis, function analysis, performance analysis and service oriented thought, this paper analyzes the system architecture of and data flow diagrams, system flow chart, PAD chart analysis of the system＇ s business processes. And it was analyzed and discussed briefly from the aspects of adaptability, functions, implementation strategy.

Adaptive Threshold Wave Front Sensing for Portable Adaptive Optics System Driven by Hybrid Parallel Technique

Our Portable Adaptive Optics(PAO)system designed for high-contrast imaging of exoplanets with current 2-4 m class telescopes achieves a correction speed of nearly 1000 Hz,utilizing a Shack-Hartmann Wave Front Sensor(WFS)in a 9×9 sub-aperture configuration.As we look towards adapting the PAO system for larger telescopes,an increase in the number of sub-apertures in the WFS and enhanced precision in wave front detection are imperative.Originally programmed in LabVIEW,our initial PAO software is based on a traditional centroid calculation module for nighttime wave front sensing and lacks adaptive processing of background noise.To address these limitations and to boost the PAO system's performance and accuracy in wave front detection,we propose a compressive neural network(Th-Net)combined with a specialized hybrid parallel programming approach for wave front detection.Our experimental results indicate that this hybrid parallel technique and Th-Net significantly enhance the PAO system's operational speed and wave front detection precision under uneven background noise.This work paves the way so that a duplicable and low-cost PAO system can be used for direct imaging of exoplanets with large telescopes.

Performance analysis of two RDSS positioning modes of BeiDou-3 system

The BeiDou-3 global satellite navigation system(BDS-3)provides two radio determination satellite service(RDSS)positioning services for users,i.e.,the traditional RDSS(TRDSS)positioning of the BeiDou-2 regional satellite navigation system,and the comprehensive RDSS(CRDSS)positioning,which integrates the RDSS and radio navigation satellite service.As published studies regarding the RDSS positioning service are few,we analyze and compare the performances of the two RDSS positioning modes.First,we systematically investigate the principles of the TRDSS and CRDSS positioning,and then analyze the evaluation methods in terms of their positioning accuracy,real time,and coverage range.Second,based on the BeiDou RDSS measured data,we evaluate the performances of the TRDSS and CRDSS positioning.Compared with TRDSS positioning,CRDSS positioning exhibits the following:1)A significant increase in positioning accuracy,resulting in error improvement from 8 to 2 m and root mean square improvement from 3.13 to 0.85 m;in other words,the positioning error,constant deviation,and stability improve significantly.2)The real time reduces slightly from 1.1 to 1.8 ns,which is within the acceptable range.3)The coverage range expands from the areas of 62°E-145°E and 5°N-55°N to the areas of 50°E-170°E and 0°N-70°N,respectively.4)CRDSS positioning is not restricted by the constraints of the digital elevation database or the user elevation information and can thus solve the occlusion problem effectively.