All of the articles in this proceedings volume have been presented at 2023 3rd International Conference on Digital Economy and Computer Application (DECA 2023) during September 22-24, 2023 in Shanghai, China. These articles have been peer reviewed by the members of the [Scientific Committees and reviewers]...

This paper focuses on the system design and research of the financial system based on the new big data context. The system design and implementation research is carried out on the basis of the development of the current situation of the company combined with certain system optimisation exit functions....

Given the increasing global impacts of climate change ,*and weather extremes on economies, understanding the sensitivity of economic output to weather variables has become crucial. This study investigates the influence of weather variables on the economic output of China across different sectors, provinces,...

With the wide application of big data technology, massive data information is transformed into the actual productivity of enterprises, which gives enterprises opportunities for development and brings new challenges to internal financial management. Facing the risk problems faced by enterprises in the...

Under the new situation of the vigorous development of power Internet of Things, the information blockage exposed by the traditional power grid material supply can be solved by digital technology. Firstly, the profit function of the participants in the direct electricity trading supply chain is constructed,...

The application of smart contract technology in the field of cryptocurrency has attracted extensive attention. A hard wallet is a device for storing encrypted money, and its private key is usually stored inside the device. However, there are still some challenges in the security and reliability of hard...

In recent years, the rapid application of digital technology in the economy has continued to affect the quality of employment in China's labor market. The data are from 31 Chinese provinces between 2013 and 2020, systematically explores in the context of digital economy development and employment...

When making product orders, it is necessary to calculate the required order quantity accurately on the basis of ensuring the minimum cost. However, the existing economic order lot model is relatively inaccurate in order quantity prediction. Accordingly, the study optimizes the existing support vector...

With the advent of the information age and the explosive growth of data, it is difficult for people to find the content they are interested in, and the recommendation system came into being. In recent years, the session recommendation in the recommendation system has attracted the attention of many people,...

Aiming at the problem that DSP simulation software only supports C/S architecture simulation, three types of application service images are designed to deploy DSP simulation Software on the cloud platform. Based on Docker virtualization and containerization technology, cloud resources required for simulation...

As one of the emerging technologies, blockchain technology has become one of the most discussed applications at present. Its main characteristics are decentralization, distributed storage and imtamperability. In view of the fact that multiple third-party trust centers are involved in the traditional...

In recent years, with the rapid development of the Internet and mobile technology, the image data in the network has shown explosive growth. It has been widely used in social security, military security, information security, identity authentication, and traffic supervision. Image data is simple and...

With the continuous innovation of science and technology, all kinds of new technologies emerge at the historic moment, providing sufficient data support for the development of the power industry, and driving the power industry towards the direction of automation, intelligence and modernization. At present,...

The construction of digital government plays a pivotal role in promoting the modernization of the national governance system and governance capabilities. In the process of digital government construction, data security guarantees are conducive to information sharing and interconnection among various...

In order to realize the digital transformation of China's insurance industry, it is necessary to consider that the booming development of insurance technology brings technical risks, data and information security risks and even induces systemic risks, forcing regulators to conduct in-depth research...

Decentralized applications (DApps), which are innovative blockchain-powered software systems designed to serve as the fundamental building blocks for the next generation of Internet services, have witnessed exponential growth in recent years. This paper thoroughly compares and analyzes two blockchain-based...

Based on the real situation of China's capital market, this paper takes non-financial listed companies in Shanghai and Shenzhen from 2007 to 2021 as samples to explore the impact of chain shareholders from the perspective of auditor behavior. Using Stata16 software for data processing, Logistic...

The introduction of investor sentiment index has set an important milestone in quantitative research within the financial industry. The index became a powerful tool for extracting insights from investors’ opinions about future financial markets. In order to solve the problem of ambiguity in Chinese financial...

In order to quickly predict people distribution and traffic behavior in commercial buildings and further provide the quantitative basis for traffic organization design, this paper presents the analysis of Pedestrian Clustering and Pedestrian Density under selected circulation spaces of a shopping mall...

With the development of the international green commitment movement, an increasing number of companies have begun to respond to the green commitment trend. However, a crucial concern arises: corporate green commitments might become "greenwashing," lacking real implementation. The mismatch between...

This paper introduces a programmable robot with AI-oriented scratch extensions by analyzing its implementation architecture and operating procedure, and those of a corresponding mini-app for wireless configuration. It explains some typical extensions and their key building blocks, such as costume and...

The general measurement method of industrial linkage adopts the influence coefficient and the sensitivity coefficient to measure, and this method ignores the influence of the product structure of the current year when measuring the coefficient. In order to solve this problem, this research takes the...

In order to understand the construction of remote intelligent accounting service system in Hubei Free Trade Zone, a research on the construction of remote intelligent accounting service system in Hubei Free Trade Zone based on computer network platform was put forward. Firstly, this paper constructs...

Urban commuters are the main participants in urban transportation, directly affecting the planning, design, and operation of urban transportation strategies. The study of commuting modes is a current research hotspot, and studying the effects of factors such as age, gender, and employ on travel mode...

With the continuous progress of science and technology and the continuous development of the society, the administrative management field is also facing more and more challenges and needs. The emergence of artificial intelligence technology is a double-edged sword, which has important theoretical and...

This research introduces a predictive model, IFPA-BP, for stock price forecasting that optimizes the BP neural network weights and biases using the Improved Flower Pollination Optimization Algorithm (IFPA). We addressed the traditional inflexibility between global and local searches by introducing the...

As a famous wildlife sanctuary and national park in Africa, Kenya’s Maasai Mara is also suffering from the scourge brought about by the contradiction between human and nature. For the conservation of local wildlife and other natural resources, this paper curb poaching and other violations by assigning...

This research aims to develop a tool to assess the impact of social media on the market by collecting and analyzing cryptocurrency-related tweets on Twitter. Python and relevant libraries are utilized for scraping tweets and cryptocurrency trading data, followed by data preprocessing. The VADER model...

Based on the DO-178C's software test coverage analysis objective requirements, combined with the actual situation of software engineering, three types of test coverage analysis methods are sorted out and studied. The method is applicable to civil aircraft airborne software testing activities, and...

Currently, cross modal model algorithms are commonly used in facial recognition, which are susceptible to the influence of the confidence level of facial key points, resulting in low recognition accuracy. Therefore, the research and application of facial recognition technology based on AI recognition...

In order to meet the needs of family finance, this study is based on the ECLIPSE R&D platform, the front-end R&D uses the technology of JSP, and the MySQL database technology is used to realize the management of the data and information involved in the system.The C/S form is the most basic mode...

This research aims to develop an actuarial analysis framework to evaluate the probability of insolvency for the infrastructure property insurance of a specific region. The study focuses on the case of nationwide transmission tower failures. The proposed framework takes into account the correlations among...

The defect of the fluctuation of the photovoltaic power generation system output power leads to the serious phenomenon of photovoltaic curtailment, and the energy storage technology can effectively solve the problem of photovoltaic curtailment. Reasonable allocation of the capacity of the hybrid energy...

Noodles are one of the most popular snacks in many snack bar in the tourism service center. Select nine kinds of noodles which are the most important representative in China, construct 12 evaluation systems from the three dimensions of originality, influence and sustainability, and use principal component...

By constructing a personalized news recommendation model based on a knowledge graph, the problem of ignoring knowledge correlation in multi-class text information methods has been effectively solved. The study analyzed the characteristics of news texts, treating titles and abstracts as key information...

Small electric vehicles have become very popular in recent years. However, the psychological factors affecting the public’s purchase of small electric vehicles and their role mechanisms are still unknown. For this reason, this paper first constructs an extended technology acceptance model (TAM) based...

With economic integration and trade liberalization gradually becoming the new normal of world trade, the competition in the international automotive market is becoming increasingly fierce. How can Chinese automotive enterprises continue to develop in the international market, and in what aspects have...

This study explores the factors affecting the user stickiness of gig platforms. Based on the SOR theory to construct a model of the factors affecting the user stickiness of gig platforms. A questionnaire survey was used to collect 332 valid data, and the data were analyzed using SPSS and AMOS. The results...

With the launch of the Science and Technology Innovation Board, China has, for the first time, allowed red-chip enterprises with VIE structure and AB shares to land in China’s capital market by issuing Chinese Depositary vouchers. Based on the perspective of financing, from the perspective of financing...

Ecological economy as a formal field of study began to develop in the second half of the 20th century, gaining momentum as environmental concerns and the limitations of traditional economic models became more apparent. Growing interest in topics such as ecological economy, sustainable development, and...

The forecasting of financial time series has long been recognized as a challenging and important task for both economists and computer scientists. In recent years, the integration of deep learning and artificial intelligence has significantly advanced the field of financial time series forecasting. Deep...

The investment efficiency of businesses is measured using the Richardson model in this paper. Two mediating variables—financial information quality and financing constraints—are also introduced, and the mediating effect model is used to examine the effect of corporate governance on the investment efficiency...

For the innovation chain, the financing problem on the innovation chain, the tracking and evaluation of the effect of government support policies, the innovation trust problem, the innovation landing problem, the intellectual property problem and the talent gathering problem have always troubled the...

We have employed a blend of qualitative and quantitative methodologies to delve into consumer preferences and their willingness to pay (WTP) for sweet cherries. Utilizing semi-structured interviews and a discrete choice experiment, we have discerned crucial cherry attributes. Subsequently, a mixed logit...

This paper addresses the essential need for efficiently managing resource utilization within big data platforms, a critical component of modern banking operations amidst digital transformation. It aims to provide a structured methodology that not only identifies the challenges associated with escalating...

The intelligent management of financial assets has become one of the research hotspots in today’s financial field. This paper is entitled “Research on Intelligent Management of Financial Assets based on Machine Learning Algorithm”, aiming to explore the application and potential value of machine learning...

With the rapid rise of the digital economy, China, as one of the important participants in the global digital currency field, is actively exploring the development and application of non sovereign digital currencies. This article is based on big data and artificial intelligence technology, aiming to...

From the perspective of behavioral finance, this study analyzes the influence of financial accounting information on investors’ decision making. Traditional rational economics assumes that investors can rationally use information to make decisions, but behavioral finance argues that investors are often...

The safety risk assessment system for urban rail transit operations has been studied to provide support and guidance for rail transit operations. Firstly, a risk assessment index system for rail transit operations is established from four levels: station train operation, station passenger capacity, station...

With the advent of the digital age, privacy data security has become an important research field. The private data security model based on blockchain and functional encryption is an emerging solution that combines the decentralized nature of blockchain with the security of functional encryption to protect...

This article addresses the optimization of user experience quality in high-speed rail wireless networks using IPv6 technology. It underscores the necessity for stable, high-quality wireless services for passengers and the challenges encountered, such as significant delays, high packet loss rates, and...

Due to the rapid change of financial technology, Internet finance has encountered a series of risk problems while continuously optimizing financial services, and the original risk control measures of financial institutions can no longer meet the current application needs. In this regard, based on the...

In order to reduce the operation risks of freeway maintenance, the paper used Apriori algorithm method to explore the factors with strong interconnection in the deploy and control, construction process that affect operational safety. An analysis model for the deploy and control, construction was established...

In view of the current situation of frequent wide load regulation and long-term ultra-low load operation of coal motor units under the new power system, this paper established the calculation model of the added value of energy consumption cost of steam turbine generator units, and put forward the method...

Based on panel data from 255 cities between 2009 and 2019, the research treats implementation of the “Broadband China” policy as a quasi-natural experiment, and uses period-by-period difference-in-differences model to study the incentive effects of policy shocks on entrepreneurial innovation spirit at...

The Internet has swept the world, and the way of job hunting has undergone earth-shaking changes. Cloud recruitment has become the mainstream of the times. However, with the development of cloud recruitment, non-hair elements publish false recruitment information online, which induces job seekers to...

The rapid growth of big data application demand in the financial industry makes it imperative to build a safe and efficient financial data sharing service platform. The objective of this study is to design a data collection, processing and service platform for large-scale financial institutions. According...

With the further development of big data applications, data privacy and security have attracted great attention from all countries in the world. There are nearly 100 countries and regions in the world that have laws related to data security protection. Through legislation, data users have more control...

With the growth of our economy, the construction of road infrastructure in the country is also developing vigorously. Under prolonged use, cracks of varying degrees can appear on road pavements. The detection of cracks on road surfaces is also an important part of road maintenance as well as road safety...

Intelligent connected vehicles are an inseparable object in the Internet of Things. The automotive industry is facing enormous challenges when it comes to ensuring the safety and reliability of vehicles. In this case, intelligent connected vehicle suppliers are committed to providing secure systems to...

Network security situational awareness is a crucial technology in the field of cybersecurity, with current research heavily reliant on manual threat analysis. In order to achieve automated security monitoring for large-scale networks, this study proposes a network security situational awareness platform...

This study constructs user behavior models for virtual learning communities on the Internet to provide personalized services. The method involves preprocessing user data, feature extraction, and establishing models based on user profiles and behavior sequences. Results show the decision tree model reaches...

Virtual simulation experiments of material mechanical properties are of great significance for teaching and training in engineering disciplines. With the advancement of virtual reality technology, interactive virtual laboratories provide new possibilities for experiential learning. This study has developed...

In today’s digital economy age, the principal propellant of China’s economic progression is the innovation of digital technology. This study explores China’s extent of digital innovation by reviewing the digital patents from Shanghai and Shenzhen A-share listed enterprises between 2012 and 2021. Tt investigates...

Taking Dendrobium nobile as an example, a quality traceability system for the entire production process of medicinal Dendrobium was constructed. The server program of Dendrobium nobile quality traceability system is built by django, the back-end data submission and request interface of the system is...

Based on econometric model, this paper studies the dynamic correlation between soybean meal spot market and soybean meal spot market under the influence of Covid-19 epidemic by introducing two variables: soybean meal futures closing price and soybean meal spot price by vector autoregressive model It...

This paper proposes a smart logistics management system using big data analysis. The system adopts a modular, service-oriented architecture for intelligent processing of massive logistics data. Machine learning algorithms enable intelligent forecasting of logistics demand. Testing shows the system achieves...

To conduct a visual analysis of the literature related to visual metaphor research and to analyze the research status and development changes of visual metaphor research in China in the past 23 years. Using bibliometric methods and CiteSpace software to map the knowledge of 408 pieces of visual metaphor-related...

Business requirements of cloud transformation for enterprises have changed dramatically in recent years, and hybrid cloud has become the dominant enterprise IT architecture. In the hybrid multi-cloud era, the traditional Internet can no longer meet customer needs, in the meantime, the complexity of network...

Computer system is the basis of aerospace space safety. This paper proposes a three-mode redundancy computer system, which performs real-time triple modular redundancy for work tasks to improve system reliability. The three-computer fault-tolerant system includes processor management software and voting...

Considering the diverse evolution of electricity marketing business requirements alongside the advancement of socioeconomic development and deepening market reforms, the effective utilization of extensive and dynamically changing data in electricity marketing has presented both opportunities and challenges...

In conjunction with the transformative shift in China’s economic growth model, industrial integration plays a pivotal role in facilitating industrial structural upgrading and promoting regional harmonized development. It represents an essential and inevitable choice for industrial development to align...

Rent price prediction is an important research direction because it can help tenants, landlords, and real estate companies better understand market dynamics and formulate strategies. In this paper, we obtained and preprocessed the Shenzhen rent information from the Chain Home and Shell websites, and...

This article focuses on the Wordle game, a word puzzle game that has become extremely popular on social media. To improve the user’s gaming experience, three models have been proposed to solve the problem: a model for predicting the number of players, a model for predicting the number of attempts, and...

A mutually reinforcing link may be seen in the rapid expansion of the digital economy and agricultural modernisation in recent years. This essay uses China’s time-related data series from 2011 to 2019 as its analysis object. The coupling degree model is used to gauge the degree of coupling between China’s...

With the blessing of digital technologies such as blockchain, artificial intelligence and virtual reality, the integration of cultural tourism industry and meta-universe is getting closer, and the era of cultural tourism meta-universe is quietly coming. From the national to the local, the meta-universe...

The prediction of stock prices has consistently captured the attention of numerous analysts and researchers. Due to the influence of various variables such as economics, politics, investment psychology, and trading techniques on the price trends of stocks, forecasting stock prices inherently presents...

This paper introduces a trend-based stock price prediction method that employs the K-nearest neighbors (KNN) algorithm for trend forecasting. Experiments were conducted using a historical stock price dataset, and the prediction performance was evaluated. Experimental evidence suggests that, in relation...