Student publicationshttps://hdl.handle.net/20.500.12852/16792024-03-28T09:08:31Z2024-03-28T09:08:31ZDesign and realization of computer network virtual experiment economic teaching platform based on mathematical image and signal processingLi, Xiaohttps://hdl.handle.net/20.500.12852/27352023-08-01T08:00:22Z2022-09-10T00:00:00ZDesign and realization of computer network virtual experiment economic teaching platform based on mathematical image and signal processing
Li, Xiao
The emergence of computer network virtual experiment teaching provides the possibility to solve the limitations of hardware equipment and time for cultivating computer talents in colleges and universities. Although the network virtual experiment teaching platform can provide learners with an autonomous learning environment, the design of these modules still has problems such as weak integration with the teaching management system, immature functions, and high cost. In order to make the computer network virtual experiment economic teaching platform better integrate with the teaching management system, reduce the cost of investment and provide a better system environment for the development of functions; this research will design the virtual teaching platform through the method of mathematical image and signal processing. By analyzing the functional requirements of the users of the teaching platform, the overall design of the system is determined, and the designed system is specifically implemented and designed for performance testing and functional testing. The functional test results are combined with expectations. The average response time of the system in the performance test results is 0.30 s, which is in line with the expected results. The experiments show that the system designed and developed in this study works well.
Journal article
2022-09-10T00:00:00ZResearch on financial risk forecast model of listed companies based on convolutional neural networkQin, Weinahttps://hdl.handle.net/20.500.12852/27342023-07-26T01:00:20Z2022-03-09T00:00:00ZResearch on financial risk forecast model of listed companies based on convolutional neural network
Qin, Weina
With the continuous improvement of China’s market economy, many listed companies enjoy the unlimited development opportunities brought by the market economy environment but are also threatened by various potential risks. They may be labeled “ST” at any time due to financial risks. The label may even end up in danger of delisting. Most companies encountered serious financial crises or even bankruptcies in the later period because they did not pay enough attention to the financial problems that occurred in the early stage and did not take effective measures to deal with the crisis in a timely manner. This is extremely detrimental to the subsequent development of the company. Therefore, more and more attention has been paid to the research on the financial risk status of enterprises. Therefore, on the basis of analyzing the financial information of listed companies, this article extracts the characteristics of listed companies and images them and uses convolutional neural networks to construct a financial risk prediction model to improve the accuracy of risk prediction. Specifically, this article also compares and analyzes the financial risk prediction models of different types of listed companies, optimizes the index system, and uses the convolutional neural network method to construct a targeted financial risk prediction model with data characteristics. The actual operation data and actual risk data of the listed companies are verified, proving that it has strong adaptive ability to face different types of data, strong operability, and high prediction accuracy.
Journal article
2022-03-09T00:00:00ZResearch on the application of new media in tourism managementZhang, Linhttps://hdl.handle.net/20.500.12852/27322023-07-13T03:00:24Z2023-01-01T00:00:00ZResearch on the application of new media in tourism management
Zhang, Lin
From the current social development situation, the economic development of various regions is very fast, and the rapid development of urbanization has also driven the development of the tourism industry. At present, the number of tourist attractions is relatively large, and tourism enterprises are also facing certain pressure in the process of development, and enterprises must pay attention to the application of new media technology if they want to achieve sustainable development. Introduce modern information technology to comprehensively improve the efficiency and level of tourism management. This paper mainly analyzes the application of new media in tourism management, and strives to comprehensively improve the development level of the tourism industry.
Journal article
2023-01-01T00:00:00ZSynthesis of polyaspartic acid-capped 2-aminoethylamino acid as a green water treatment agent and study of its inhibition performance and mechanism for calcium scalesCai, Yong-HongZhao, Jia-LiGuo, Xin-YuZhang, Xiao-JuanZhang, Ran-RanCheng, YaminCao, Zhong-YanXu, Yinghttps://hdl.handle.net/20.500.12852/25052023-03-01T02:00:18Z2022-08-30T00:00:00ZSynthesis of polyaspartic acid-capped 2-aminoethylamino acid as a green water treatment agent and study of its inhibition performance and mechanism for calcium scales
Cai, Yong-Hong; Zhao, Jia-Li; Guo, Xin-Yu; Zhang, Xiao-Juan; Zhang, Ran-Ran; Cheng, Yamin; Cao, Zhong-Yan; Xu, Ying
Polyaspartic acid (PASP), a well-known green scale inhibitor for industrial water treatment, might be decomposed with prolonged duration, and its anti-scaling performance against CaCO<small><sub>3</sub></small> and CaSO<small><sub>4</sub></small> is diminished at a low concentration (<10 mg L<small><sup>−1</sup></small>) and a high temperature. With semi-ethylenediaminetetraacetic acid (EDTA) tetrasodium salt as the mimicking model, novel phosphorus-free PASP-capped 2-aminoethylamino acid (PASP–ED<small><sub>2</sub></small>A) containing side chains bearing multi-functional groups is rationally designed and successfully prepared <em>via</em> the ring-opening reaction of cheap poly(succinimide) under mild reaction conditions with the assistance of readily available 2-aminoethyl amino acid. The static scale inhibition method is used to evaluate the scale inhibition performance of the as-synthesized PASP derivative. Scanning electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy are utilized to monitor the crystallization process of calcium carbonate and calcium sulfate scales, and density functional theory calculations are conducted to shed light on the relationship between the molecular structure and scale inhibition mechanism of PASP–ED<small><sub>2</sub></small>A. Results show that the as-prepared PASP–ED<small><sub>2</sub></small>A shows better scale inhibition performance for CaCO<small><sub>3</sub></small> and CaSO<small><sub>4</sub></small> than PASP with a low concentration, a high temperature, and an extended duration. Particularly, PASP–ED<small><sub>2</sub></small>A with a concentration of 10 mg L<small><sup>−1</sup></small> exhibits the best scale inhibition performance for CaCO<small><sub>3</sub></small>; its scale inhibition capacity is about two times as much as that of PASP. The reason lies in that the coordination atoms in the molecular structure of PASP–ED<small><sub>2</sub></small>A can chelate with Ca<small><sup>2+</sup></small> to inhibit the combination of Ca<small><sup>2+</sup></small> with anions and prevent the generation of CaCO<small><sub>3</sub></small> and CaSO<small><sub>4</sub></small> scales. The PASP–ED<small><sub>2</sub></small>A derivative can more efficiently retard the formation and growth of CaCO<small><sub>3</sub></small> and CaSO<small><sub>4</sub></small> crystal nuclei and exerts better inhibition performance against CaCO<small><sub>3</sub></small> and CaSO<small><sub>4</sub></small> scales than PASP.
Journal article
2022-08-30T00:00:00Z