bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Economy Enables Community Group-buying Fresh Agricultural Products Supply Chain Management Optimization
Authors: Zhou Yunjun
Published: December 2023

In the context of China's digital economy promoting social development, this paper based on the characteristics of fresh agricultural products perishable, difficult to preserve and easy to wear, with the help of digital economy enabling model, explores the practical problems of community group purchase of fresh agricultural products, and analyzes its supply chain management. The analysis results show that the optimization of supply chain management depends on the digital economy, which can effectively do a good job in factor allocation, model innovation and information transmission, and achieve win-win benefits of multiple entities by improving product quality control, forming core competitiveness, balancing supply and demand and controlling costs, and meeting the diversity requirements of consumers. This study can explain the potential problems of the current agricultural product supply chain to a certain extent, and also provide a reference for the digital economy enabling community group-buying fresh agricultural product supply chain management optimization.
Research on the Measurement and Coupling Coordination of the Development Level of Material Civilization and Spiritual Civilization under the Background of Chinese path to modernization
Authors: Bian Mingyue
Published: December 2023

The modernization of material civilization and spiritual civilization is an important feature of Chinese path to modernization. It is difficult for a nation without spiritual strength to stand on its own, and it is difficult for a cause without cultural support to last for a long time. Based on the background of Chinese path to modernization, this paper will build two subsystems of material civilization development level and spiritual civilization development level. Based on the panel data of the Yangtze River Delta urban agglomeration from 2006 to 2021, the two subsystems will be measured by entropy method, and then the coupling coordination degree model will be introduced to measure the two subsystems. Finally, the dynamic evolution of coupled scheduling for the development level of material civilization and spiritual civilization is studied through kernel density estimation method, combined with Gini coefficient and decomposition method Differential analysis of spatial regions. The study found that the overall evaluation value of the development level of material and spiritual civilization in the Yangtze River Delta region h as increased, and the gap between cities is significant. The coupling coordination degree of the two subsystems of material civilization and spiritual civilization development level is constantly rising, but the overall average value is low, with significant regional differences, and there is still great potential for development.
Research on the Education of Cultivating Values for Young Students in Universities
Authors: Li Guang
Published: December 2023

Young college students are a potential force for social development, a major carrier of communication among society, families, and schools, and shoulder the significant historical mission of social and national rejuvenation. Positive social values play an important role in guiding the thinking of young college students, enabling them to form their own healthy and positive energy habits that are in line with the times during their growth process. Therefore, the cultivation of values among young students needs to follow the correct guidance of current positive university educators.
Analysis on Farmers’ Adoption Behavior of Water Saving Irrigation Technology and its Income Increasing Effect
Authors: Chen Hongwei , Li Fei
Published: December 2023

Based on the sample survey data of grain farmers in Shandong, Hebei and Henan provinces, This paper use Probit model and Mediating Effect Model to analyze the influencing factors of farmers’ adoption behavior of water saving irrigation technology(WSIT) and their income increasing effects. The results show that education years of household head, planting scale, cooperatives membership and perception of water scarcity all significantly promoted farmers’ adoption of water saving irrigation technology. Water saving irrigation technology adoption behavior can significantly increase farmers’ income. After using instrumental variable method to deal with endogenous problems, the regression results are still stable. The adoption of water saving irrigation technology not only has a direct effect on improving household income, but also indirectly increases household income through factor inputs. Therefore, strengthening agricultural technology popularization, guiding and encouraging farmers to join cooperatives, and expanding farmers’ planting scale through land circulation are the keys to improve farmers’ income level.
Impact of Management Philosophy and Organization on China Technical Xiaomi Company
Authors: Cui Jun , Gan Zhongxin , Ning Zihao
Published: December 2023

The management philosophy and organization of the XIAOMI firm is a statement or approach that affects how a manager leads their team, organization, and makes decisions. With the development of Mobile technology, digital technology, cloud computing and other new technologies, how to impact of management philosophy on XIAOMI Firm. Furthermore, through a series of research investigations and analyses, few people deeply analyze the relationship between the intelligent ecological chain, business ecology, and enterprise value enhancement. In the research on enterprise value enhancement and digital transform, few people have thoroughly analyzed the relationship between the intelligent ecological chain, business ecology, Mobile technology, and enterprise value. How to management accounting and management organization in XIAOMI firm, this is important requestions for us. This paper aims to conduct an in-depth study of enterprise value creation in the development of an intelligent ecological chain. Meanwhile, by analyzing the process of developing Xiaomi's intelligent ecological chain and mobile digital technology, it is hoped that the relevant theoretical systems of the ecological chain of different Internet companies can be enterprises can be further improved, and the development of Internet enterprises can provide a viable theoretical foundation. The research of this paper mainly uses the method of qualitative analysis to conduct research and analysis, and concludes Impact of Management Philosophy on XIAOMI firm. otherwise, you will need to edit your abstract accordingly. In additional, through a series of research investigation and analysis, we can see that the upload their management ideas, to stimulate a company awareness upgrade. This study uses qualitative analysis methods to describe management philosophy.
Research on the Strategy of Strengthening the Service Ability of University Administrators in the New Period
Authors: Ma Yanzhi
Published: December 2023

In the development stage of educational management in colleges and universities in the new period, in order to continuously improve the level of running schools and export high-quality professionals for the society, we must objectively realize the importance of carrying out administrative work in colleges and universities. As a huge talent training institution, in the process of academic research, talent training and market cooperation, if the service ability of university administrators is limited and the service mechanism is not perfect, it will seriously affect the normal development of all work in colleges and universities. When strengthening the service ability of administrative staff in colleges and universities, the author puts forward the following suggestions, such as strengthening the service consciousness of administrative staff, cultivating their professional ability, perfecting the scientific and effective reward and punishment mechanism, perfecting the scientific internal and external supervision mechanism, digitally empowering administrative staff, standardizing the standards and processes of administrative services, etc. I hope the author's relevant suggestions can provide some reference for the development of administrative work in colleges and universities.
Research on the Causes and Preventive Measures of Swimming Drowning among Adolescents and Children in China
Authors: Yuan Rui
Published: December 2023

This paper mainly studies the causes and prevention methods of drowning accidents among adolescents and children in China. This paper mainly uses survey and analysis methods, expert interviews and case analysis methods to investigate the current situation of drowning accidents among adolescents and children in China, understand the real causes of drowning accidents, and summarize them. The study found that there are many places and causes of drowning, mainly including lack of self-rescue and first aid skills, lack of safety awareness and negligence in drowning prevention, and lack of solid drowning prevention education for adolescents and children, and lack of deep awareness of the danger of drowning. In this regard, the following preventive measures are proposed: improve the safety education on drowning prevention, so that adolescents and children can understand the danger of drowning from drowning accidents; improve the drowning prevention education system, carry out a series of water safety education activities, further improve the construction of the drowning prevention system, and establish a joint mechanism between society, schools, and families, and constantly improve the prevention methods.
On the Rationality Principle of Administrative Litigation in Substantive Resolution of Administrative Disputes
Authors: Hu Weinan
Published: December 2023

Through the analysis of the administrative second-instance case of Tianchang Aimeiyi Clothing Processing Factory v. Chuzhou Radio, Television, Press and Publication Bureau, when the Anhui Provincial Higher People's Court conducted the second instance of this case, it was mainly the application of the principle of administrative rationality, thereby affecting the administrative penalty behavior and the first-instance judgment was changed. First, the author elaborates on the general theory of the principle of administrative rationality. The connotation of the principle of administrative rationality is mainly expressed as the principle of administrative fairness and justice, the principle of considering relevant factors and the principle of proportionality. Secondly, the author elaborates on the principle of administrative rationality based on this case and relevant practice. The actual situation mainly includes the obvious inappropriateness of discretionary administrative actions and the lack of application of change judgments; thirdly, the analysis of the current causes of the principle of administrative rationality mainly includes two aspects: administrative efficiency and responsibility and the use of judicial change power; finally, the administrative rationality principle The practical application of sexual principles puts forward corresponding suggestions for improvement.
Research on the Problems and Countermeasures of Yellow River Culture Communication
Authors: Li Jiajun , Song Yucheng , Han Tianqi , Chen Jinhao , Liu Jinlong
Published: December 2023

Taking Dongying City, Shandong Province as an example, this paper discusses the current situation, challenges and countermeasures of the Yellow River culture communication. As an important part of the Yellow River basin, Dongying city has actively built the Yellow River cultural protection and inheritance system, promoted the Yellow River culture by editing and publishing cultural books, building historical and cultural exhibition rooms, and at the same time strengthened cultural exchanges and cooperation in an online and offline all-round mode. However, in the aspect of spreading Yellow River culture, Dongying city is faced with challenges such as stylized content, single communication channel and lack of communication effect evaluation, which limit the wide spread of Yellow River culture. Through the questionnaire survey of college students, this paper found that the Yellow River culture has an important influence in cultivating patriotism and promoting cultural inheritance, and has a certain social value and significance.
New Model of Shaping Urban Cultural Tourism IP Based on Short Video Platforms
Authors: Wan Xiaomeng
Published: December 2023

Urban cultural tourism is a kind of tourism that combines the regional tourism resources of the city and the unique culture of the local area. Moreover, with the constant development and progress of local cities, urban cultural tourism has become a new trend in urban development. The diversification of urban cultural tourism intellectual property (IP) aligns with cities' sustainable and innovative development. Additionally, as one of the hottest and newest ways of communication, short videos have seen a surge in recent years due to their low production cost, fast communication speed, diversified content, and large scale of users. The rapid development of short video platforms such as TikTok, Quick Worker, etc., has led to an explosive growth of short video users in China; short video platforms have become the new media for city image communication. However, using short video platforms to shape the urban culture tourism IP must pay attention to the communication strategy. The short video content should not only closely follow the positioning of the city's image, but also vividly show the cultural connotation of the city, thus constructing a multiple subject of the creation and communication of the short video.
Research on Governance Mode of Digital Platform Ecosystem from the Perspective of Ecological Niche: Based on Double Case Analysis
Authors: Li Zhongpeng , He Zheng , Yang Xiaohong
Published: December 2023

In order to comply with the requirements of the times, in view of the problem that the strength of the main enterprises of the digital platform ecosystem is too different, which leads to too large differences in resources. From the perspective of the niche, firstly, this paper integrates the three governance modes of "hierarchical governance", "cross-level governance" and "panoramic comprehensive rational analysis framework", and puts forward the "panoramic joint governance mode from the perspective of niche". Secondly, the two cases of Haier COSMOPlat Ecology and Huawei Smart Car Ecosphere are selected, and the exploratory case analysis and comparative study methods are used to carry out corresponding analyses on the two cases to verify the feasibility of the new governance mode. The study found that the essence of this governance mode is to create more connection points by introducing a resource-sharing platform based on the new generation of information technology, breaking the fault-type hierarchical governance, focusing on solving problems at all levels, and attracting more regulatory bodies to conduct joint governance. Through these, we can expand the niche width of the digital platform ecosystem, then reduce the barriers to resource sharing among the subjects of the digital platform ecosystem. By applying this mode, different forms of digital platform ecosystems can achieve efficient operation.
Enabling Carbon Emission Reduction in Digital Economy: A Study on Action Mechanism and Impact Mechanism
Authors: Zou Ying , Zou Ying
Published: December 2023

With the rapid development of digital technology, digital economy has gradually become the main driving force of the world's economic development in the post-epidemic era and a new engine to promote China's economic and social development.Under the above background, this research group found that there is still much room for improvement in the existing research on digital economy measurement and its impact on carbon emission through discussing the relevant research on digital economy measurement, carbon emission and the impact effect and mechanism of digital economy on carbon emission at home and abroad. Therefore, this research group will be based on the above-mentioned space for improvement and go in three steps: firstly, to construct the index system of high-quality development of digital economy in each province through sorting out the existing literature; Secondly, to calculate the high-quality development of digital economy and carbon emission in each province through entropy method, compare the similarities and differences existing in the development level of different provinces, and analyze the possible reasons for such similarities and differences, and then verify the spatial correlation existing in the development of each province by using globalMoran's I and localLISAcluster map; Finally, on the basis of confirming the spatial correlation between the high-quality development of digital economy and carbon emission, the spatial econometric model is adopted to calculate the impact degree of digital economy on carbon emission reduction in each year, and control variables are introduced to calculate the impact mechanism of digital economy on carbon emission reduction from2011 to 2021 byusing baseline regression model, so as to provide an optimized path for improving the high-quality development of digital economy and promoting carbon emission reduction.
Research on PBL+LBL Mixed Teaching Mode of Intermediate Econometrics
Authors: Zheng Lilin , Wen Yinyin
Published: December 2023

As the basic methodology of economic and the technical analysis tool of empirical research, Econometrics is the most important for academic research of Postgraduates in finance and Economics Universities. Based on the actual survey results of Anhui University of Finance and economics, this article makes clear the feasibility of PBL + LBL mixed teaching mode, and analyzes the ratio differences of graduate students' participation mode and participation role proportion in curriculum learning. Through the PBL + LBL mixed teaching mode, it is to realize the situational and case-based teaching content, rich media teaching form and transformation, process and diversification of assessment methods. The purpose is to strengthen the cultivation of graduate students' innovation ability, and optimize the teaching reform ideas of core courses.
Analysis of the Relationship between Marx's Doctoral Thesis and Modern Enlightenment Thought
Authors: Zhang Wenzhen
Published: December 2023

Marx's Doctoral thesis, as the starting point of Marx's thought, has always been the focus of domestic scholars' attention. Marx's thought is the product of enlightenment, although Marx did not specifically discuss the inheritance of Enlightenment thought in the texts left by Marx, so in what sense Marx's thought inherited the Enlightenment thought is a topic worth exploring. In his Doctoral Thesis, Marx's analysis of Epicurean philosophy in ancient Greece is a key to understanding the relationship between Marx and Enlightenment thought, and the principle of agency in Epicurean philosophy can be regarded as the key to Epicurean philosophy. The relationship between Epicurus, enlightenment and Marx has become an inescapable topic in understanding Marx's thought.
Invalidity of Contracts in Violation of Mandatory Provisions of Public Law: Judicial Practice in China
Authors: Peng Sha
Published: December 2023

Researchers have always favored how mandatory provisions of public law affect the validity of contracts. After the implementation of China's Civil Law, how to recognize the invalidity of contracts that violate the mandatory provisions of public law has also been hotly debated by the theoretical and practical circles. From the perspective of the Civil Law, which fully respects the concept of private law autonomy, and from the perspective of assuming the validity of a contract as a prerequisite for the application of the law in practice, a contract that violates the mandatory provisions of public law shall, in principle, be presumed to be valid. In determining whether a contract that violates the mandatory provisions of laws and administrative regulations is null and void, it is necessary to carefully analyze whether the legislative purpose of the mandatory provisions will lead to the nullity of the contract, and at the same time, pay attention to the distinction between the mandatory provisions that result in the nullity of the contract and those that result in the contract not coming into effect, being of pending validity, or being voidable. Contracts that violate the mandatory provisions of local laws and regulations or administrative rules may be invalid because they violate public order and morals, but they are not invalid because they are "against the law".
Analysis of Human Resource Management Trends and Innovative Approaches in the Era of Sharing Economy
Authors: Huang Zongjie
Published: December 2023

Based on the analysis of human resource management trends and innovation in the era of sharing economy, this paper discusses the innovation paths in the era of sharing economy through the three aspects of human resource recruitment and selection, human resource training and development, and employee relationship management, and concludes that the trends of human resource management based on the era of sharing economy are mainly reflected in the co-operation with third-party service providers and management, the application of new technologies and tools, flexibility, and the use of new technologies and tools. technologies and tools, flexibility and personalised employee care, and the importance of socialising and networking. The conclusion will provide useful reference for HRM in the era of sharing economy and promote the innovative development of HRM in the new era.
Organizational Factors and Knowledge Sharing Behavior: Mediating Model of Knowledge Sharing Intention
Authors: Bui Thu Trang , Nguyen Lam Phuong , Tran Anh Phuong , Nguyen Hong Ha , Tran Thanh Tu Ngoc
Published: December 2023

This research investigates the mechanism of how organizational factors (including organizational climate, formalization, and centralization) impact knowledge-sharing behavior by considering knowledge-sharing intention as a mediator. After conducting online surveys and offline interviews, we utilized a quantities method with the PLS-SEM tool to examine the potential findings. This study’s respondents were employees selected randomly from information technology enterprises in Vietnam; the final data set included 529 responses. The findings demonstrate that the organizational climate has a favorable link with knowledge-sharing behavior, whereas the remaining organizational factors, namely formalization and centralization, have a negative influence. Besides, this study found that knowledge-sharing intention plays a mediating role in these relationships. This research also provides some theoretical and practical implications, limitations as well as future research directions for further studies.
Research on the Evaluation and Improvement Paths of Fiscal Environmental Protection Expenditure Efficiency under the "Double Carbon" Vision
Authors: Zhang Zheng
Published: December 2023

Government financial investment in environmental protection is an important material guarantee to support green development. It has the dual functions of promoting economic transformation and protecting resources and the environment. It is of great practical significance in promoting China's economy to move towards a high-quality development track. Based on the fiscal environmental protection expenditure data of 31 provinces in China from 2013 to 2022, the article constructs a DEA-BCC model to measure the efficiency of fiscal environmental protection expenditure in each region. It further constructs a restricted dependent variable Tobit model to empirically test the influencing factors, and proposes to improve fiscal environmental protection expenditure. Diversified paths for environmental protection expenditure efficiency in order to achieve high-quality economic development.
Fiscal Policies Promote the Development and Popularization of Green Electricity
Authors: Zheng Yu , Zhang Wenjie , Bi Wenyang , Cao Yufeng , Zheng Guoqing
Published: December 2023

The concept of carbon neutrality is constantly being improved and various carbon neutral project technologies are constantly being developed. Under the current "double carbon" background, green power, as an emerging energy industry, is gradually developing into one of the main clean energy sources in the future. However, as the operation and management system of green power is gradually being improved, its various application fields and its popularization to the public still need to be studied. Through the investigation and research of green power, the analysis of financial policies and the test of the acceptable range of the public, analysis Organize solutions that can promote the use and development of green electricity in current trends in fiscal policies.
Research on the Influence of Transactional Leaders on the Implementation of University Management Innovation
Authors: Yan Delin
Published: December 2023

According to the basic theory of power change leadership, self-control and resource ability, cross-department integration is introduced to explore the dual effect of "incentive" and "control" of transactional leaders on the implementation performance of university management innovation. In the process of "incentive" and "control" effect, the relationship of "diminishing marginal effect" and "too much of a good thing", and the cross-departmental integration plays a nonlinear role in the relationship between transactional leadership and the implementation performance of university management innovation.
Study on the Influencing Factors of Green Purchasing Intentions among College Students in a University in Guangdong
Authors: Liu Chunjiang
Published: December 2023

The Industrial Revolution has led to a continuous decline in global environmental quality, exacerbating environmental issues in recent years and gradually drawing public attention to ecological concerns. In the context of promoting sustainable development globally, green purchasing behavior, particularly among the millennial generation of college students, is gaining increasing attention due to its minimal negative impact on the environment. This article, based on extensive literature review and a case study of a university in Guangdong Province, employs the Theory of Planned Behavior and utilizes SPSS software for data analysis. It concludes that college students' environmental knowledge, ecological values, perceived self-efficacy, and group pressure significantly influence their green purchasing intentions. The study aims to provide support and reference for related research.
Research on Expansion of the Export Paths of Developing Aquatic Products in Hainan Province
Authors: Chen Weiming
Published: December 2023

Hainan Province is rich in marine resources, and the marine economy is one of the exceptional advantages of Hainan Province's economic development. As the eleventh free trade zone opened by China, Hainan Province, as a province supported by the double policies of special economic zone and free trade zone, should fully harness its strengths, and adopt scientific and correct development strategies to accelerate the construction pace of aquatic products’ export industry. At present, aquatic products in Hainan Province are mostly exported for sale in the form of primary agricultural products, developing marine culture technology is needed, otherwise it will lose its development force in the face of the red line of marine fishing. Furthermore, the lack of fine deep processing of aquatic resources has become the weakness of Hainan Province in the international market competition. Therefore, we should step up efforts to of Hainan Province in the construction of aquatic products’ export industry, establish and perfect a complete aquatic products’ export industry, develop and improve the upstream and downstream industries of Hainan Province's aquatic products export and give support to the aquatic products industry, and increase the research efforts on the fine deep processing of aquatic products and other related application technology.
The Mechanical Performance Prediction of Steel Materials based on Random Forest
Authors: Wang Shihao , Wu Xiangxiang
Published: December 2023

The mechanical performance of steel materials is crucial for the design, selection, and application of materials. In order to better predict the mechanical performance through chemical composition and process parameters, this paper establishes a predictive model for the mechanical properties of steel materials based on the random forest algorithm. The model predicts yield strength, tensile strength, and elongation based on chemical composition and process parameters. The results indicate that the random forest algorithm model demonstrates excellent performance in predicting the mechanical properties of steel materials.
Power Quality Disturbance Recognition based on Deep Neural Network and Adaptive Feature Fusion
Authors: Chen Lei , Zhou Chao , Chen Jianjun
Published: December 2023

Aiming at the problems of low recognition accuracy and low noise resistance of current power quality disturbance recognition algorithms, a power quality disturbance recognition method based on the fusion of neural network and adaptive features is proposed. Firstly, one-dimensional features are extracted by 1D_CNN+GRU network. The GADF algorithm and 2D_CNN are used to extract 2D features, and then the extracted 1D features and 2D features are adaptively fused into a new feature. Finally, the new features are input into the channel attention mechanism and classified through the full connection layer. The experimental results show that the classification accuracy of the proposed method is above 92% for 40 disturbance types containing single, double, triple and quadruple disturbances, and above 96% for 20 disturbance types containing single and double disturbances.
Dynamic Allocation Mechanism of Cloud Computing Resources Driven by Neural Network
Authors: Ou Yining
Published: December 2023

With the popularization of cloud computing technology, the dynamic allocation mechanism of cloud computing resources has become an important research field to improve resource utilization and meet the needs of diversified workloads. The purpose of this study is to explore the dynamic allocation mechanism of cloud computing resources driven by neural network and introduce the powerful ability of deep learning into cloud computing environment. We put forward a comprehensive framework, which combines data collection, analysis, decision-making and implementation to realize intelligent resource allocation. These data will be used to train BP neural network (BPNN). In order to predict the bidding price, a BPNN is designed, which usually includes input layer, hidden layer and output layer. The number of nodes in the input layer is equal to the dimension of the input feature, and the number of nodes in the output layer is 1, which indicates the prediction of the bidding price. Through experiments and simulations, we verify the effectiveness of the dynamic resource allocation mechanism driven by neural network. The results show that this mechanism can better adapt to the changing workload requirements, improve resource utilization and reduce resource waste. In addition, it provides better performance and user experience, thus enhancing the competitiveness of cloud computing systems.
Research and Analysis of Vegetable Pricing and Replenishment Decisions
Authors: Jiang Chunli , Chen Guo
Published: December 2023

This paper uses LSTM to conduct a prediction study on the PS dataset to establish a revenue maximization optimization model by limiting the actual cost of a category that fluctuates within 10% of two adjacent days, using seven-day revenue as the objective function, and using the actual daily supplemental cost of each category as the decision variable. Taking the unit cost profit of a category as a category, the ratio of seven-day total profit to seven-day total supplemental cost, and based on cost-plus pricing, the cost price of an individual product for the next seven days can be estimated based on the unit cost profit of the corresponding category, so as to further estimate the pricing as the basis for pricing decisions. The Monte Carlo method is used to optimize the optimization objectives within different profit fluctuation percentage intervals using genetic algorithm, with a view to providing some implications for forecasting research in other fields.
Robot Path Planning Algorithm based on Improved A* and DWA
Authors: Song Haisheng , Zhang Deyang
Published: December 2023

Aiming at the problems of low search efficiency of A* algorithm in traditional path planning, many redundant points, and inability to avoid unknown obstacles in real-time in complex environments, this paper proposes a path planning algorithm based on A* combined with Dynamic Window Approach (DWA) algorithm. First, the evaluation function of the traditional A* algorithm and the expansion strategy of sub-nodes are improved to improve the safety and search efficiency of the global path. Then the redundant nodes in the global path are processed to reduce the number of turning points and improve the smoothness of the global path. to improve the instability and energy consumption of the robot during travel; finally, based on the global path planning, the DWA algorithm is introduced to perform path planning in the local unknown environment. The local path planning is completed by retaining the key path turning points as intermediate path guidance. Real-time obstacle avoidance. Through simulation experiments, the effectiveness and feasibility of the fusion algorithm are verified.
Research on Vulnerabilities in Computer Information Technology and Encryption Techniques
Authors: Tu Zhenan
Published: December 2023

In this era of information, the rapid advancement of computer information technology has brought about tremendous changes to our work and life. However, accompanying this progress are significant challenges in terms of data security. Vulnerabilities in data security and encryption technologies have become the focal point of research, aiming to ensure the utmost protection and security of our data. The purpose of this article is to delve into the vulnerabilities in data security and encryption technologies within the realm of computer information technology, with the intention of providing readers with a profound understanding of data security issues and effective solutions. By comprehensively understanding the origins and impacts of data security vulnerabilities, as well as the principles and applications of encryption technologies, we can become more acutely aware of the importance of data security, enhance our capabilities in safeguarding data security, and contribute to the construction of a secure and reliable information society.
Trajectory Tracking Control Algorithm of Two-wheel Rutting Model
Authors: Dan Yuanhong , Zhong Haiyang
Published: December 2023

In the development of unmanned two-wheeled self-balancing vehicle, it is very important to consider the trajectory tracking of unmanned two-wheeled self-balancing vehicle. In order to study the track tracking problem of unmanned two-wheeled self-balancing vehicle, the kinematic model of unmanned two-wheeled vehicle and the relation between its roll Angle and the kinematic model were established. The simulation platform is built to realize the unmanned two-wheeled vehicle and realize the circular track tracking at 5m/s, and the tracking performance of the track tracking controller under the circular track is verified.
Service Quality Evaluation of Air China based on SERVPERF Model
Authors: Wang Ying , Phakdeephirot Nutteera
Published: December 2023

In order to effectively carry out aviation service quality evaluation, based on the service quality characteristics of Air China, through research on service quality evaluation models and methods, a questionnaire based on SERVPREF and a fuzzy comprehensive evaluation method were designed to evaluate the service quality of Air China. evaluate. Through literature analysis and expert consultation, the service quality evaluation indicators of Air China were screened and a service quality evaluation indicator system was established. Through the questionnaire survey method, a questionnaire is designed from the two dimensions of passenger satisfaction and indicator importance, and the questionnaire is distributed to collect data. Based on the questionnaire, the analytic hierarchy process was used to determine the weight of the service quality evaluation indicators of Air China. Through statistical analysis of the results of the questionnaire, the results of the comprehensive evaluation of Air China were sorted and analyzed, and it was concluded that Air China The advantages and disadvantages of the company's service quality are analyzed using the fuzzy evaluation method to comprehensively evaluate the service quality of Air China. Finally, it provides the basis for strategic research on the improvement of service quality of Air China.
Progress in the Application of Artificial Intelligence in Ultrasound Diagnosis of Breast Cancer
Authors: Yao Jerry , Zou Yuan , Du Shuqian , Wu Hong , Yuan Bin
Published: December 2023

The mammary gland is an important human organ that secretes milk and feeds offspring, while breast tumors are benign or malignant tumors that occur in the breast tissue. There are many causes of breast cancer, and the incidence continues to rise, which is an important killer that threatens women's health. In recent years, a large number of researchers have been interested in the study of AI diagnosis of breast cancer. Artificial intelligence uses a specific algorithm to intelligently process ultrasound images, and develops a high-precision and high-efficiency breast cancer recognition model through training and optimization of the algorithm. At present, the application of computer-aided detection methods in breast cancer ultrasound has been gradually promoted, and the combined application of artificial intelligence has played an advantageous role in the field of breast disease ultrasound diagnosis, such as shortening the examination time, effectively improving the detection rate and diagnostic accuracy rate. The main reasons are: the accuracy of traditional AI diagnosis model of breast cancer based on machine learning is not high; The aim of this paper is to improve the accuracy of early diagnosis of breast diseases effectively and reduce the misdiagnosis rate caused by overwork of doctors on the basis of clear medical images and computer-aided diagnosis technology.
Based on TPUGRAPHS Predicting Model Runtimes Using Graph Neural Networks
Authors: Xu Jingyu , Pan Linying , Zeng Qiang , Sun Wenjian , Wan Weixiang
Published: December 2023

Deep learning frameworks are mainly divided into pytorch in academia and tensorflow in industry, where pytorch is a dynamic graph and tensor flow is a static graph, both of which are essentially directed and loopless computational graphs. In TensorFlow, data input into the model requires a good computational graph structure to be executed, and static graphs have more optimization methods and higher performance. The node of the graph is OP and the edge is tensor. The static diagram is fixed after the compilation is completed, so it is easier to deploy on the server. How to compile a static graph. It is found that in the compilation process of static graphs, the configuration of the compiler (config) affects the way the compiler compiles and optimizes the model, and ultimately affects the running time of the model. We propose a reliable model, which can predict the best compilation configuration of the model according to the compilation configuration and runtime of the machine learning model in the training dataset to minimize the running time.
A Joint Fake News Detection Model based on Multi-Features
Authors: Ren Shuxia , He Ning , Zhang Xuanzheng
Published: December 2023

Text analysis-based models have achieved outstanding results in fake news detection tasks in recent years, which is closely linked to the quantity and quality enhancement of feature information extracted from the text. Drawing upon the existing semantic detection frameworks, studies in this field concentrate on extracting various textual information through a solitary auxiliary feature, text stance feature or sentiment feature. However, it is challenging to depict the general attributes of the text using a single auxiliary feature, which frequently results in missing essential details and leaves problems with stance distortion and emotional resonance. To tackle the problem, this study proposes a joint model for identifying fake news, incorporating numerous textual characteristics. By extracting and blending various aspects of text features, i.e., semantic, stance and sentiment features, a more detailed and effective joint analysis of textual information is attained, resulting in improved performance in fake news detection. On the RumourEval-17 datasets, our model attains the Macro F1 Score of 0.891, surpassing current models for detecting rumors. Additionally, our model obtains a Macro F1 Score of 0.904 on the latest COVID-19 dataset, demonstrating strong competitiveness and promising prospects for fake news detection.
Tower Defense Game Design based on Unity3D
Authors: Chen Shuohan
Published: December 2023

In today's society, with the rapid development of computer technology, personal computers have been integrated into our lives, and computer games have become a way of entertainment for people. Among them, tower defense games, as a branch of strategy games, have also been loved by the majority of players. On the computer game download platform, such as Steam's download list, you can also see all kinds of excellent tower defense games listed, such as “Bloom TD” and “Plants vs. Zombies”. However, in recent years, most tower defense games lack innovation, and the level game play is monotonous. Players are beginning to get tired of the gameplay of classic tower defense games, and their popularity has begun to decline. In order to solve this problem, this article is based on the Unity3D game engine, combined with the characteristics of UGC and RTS games, and made some innovations to the classic tower defense games. According to the actual needs, a tower defense game called “The Rise of The Tribes” was developed. The main work of this paper is to analyze and design The game, realize The switching between The three scenes in The game and each interface, and solve how to build buildings, how to defend defensive buildings, and how to deploy and move soldiers and attack, how to generate, collect and consume resources, completed The debugging and testing of The game, summarized the development process and made an outlook on how to improve the game.
Analysis of Application Scenarios of Cloud Computing and Internet of Things Technology in Smart Cities
Authors: Cai Weijie
Published: December 2023

Based on information technology, Internet of Things technology, big data technology, and cloud computing technology, smart city achieves the integration of urban information, thus developing an all-round perception of the city. Moreover, according to the development status of the city, it develops dynamic and refined management, which is of great help to improve the convenience of life of urban residents. This paper analyzes the key technology of smart city construction. It takes intelligent lighting as a case study to analyze cloud computing and Internet of Things technology application scenarios in smart cities.
Improvement of Deep Learning Model for Gastrointestinal Tract Segmentation Surgery
Authors: Zhou Hong , Lou Yan , Xiong Jize , Wang Yixu , Liu Yuxiang
Published: December 2023

In 2019, approximately 5 million individuals were diagnosed with gastrointestinal tract cancer globally, with about half eligible for radiation therapy. This treatment, crucial for many patients, faces challenges due to the manual segmentation process required in newer technologies like MR-Linacs. This project, supported by the UW-Madison Carbone Cancer Center, aims to automate the segmentation of stomach and intestines in MRI scans using deep learning. The Unet2.5D model, specifically Unet2.5D(Se-ResNet50), has shown promising results, achieving a Dice Coefficient of 0.848. Successful implementation of this model could significantly expedite treatments, enabling higher radiation doses to tumors while minimizing exposure to healthy tissues, ultimately improving patient care and long-term cancer control.
Public Place Crowd Transaction Monitoring System
Authors: Wang Zhize
Published: December 2023

Currently, the phenomenon of abnormal movement in public spaces by groups is becoming increasingly prominent, leading to issues concerning public flow and safety. The escalating problems of high crowd density, the presence of controlled dangerous items, and unexpected group activities highlight the necessity for timely detection in public settings. Timely identification of such scenarios will facilitate prompt responses and assistance from relevant government departments. Exploring how artificial intelligence technology can aid urban management personnel in effectively detecting abnormal group behaviors is crucial. Having the ability to swiftly and efficiently evacuate crowds in emergency situations holds significant practical importance. This paper employs deep learning methodologies to assist urban management personnel in efficiently monitoring crowd density and detecting abnormal behaviors. The aim is to maintain crowd density within reasonable limits and enable rapid and effective crowd evacuation in emergency situations. Detection of abnormal group behaviors typically involves methods based on global features, extracting feature patterns like optical flow from entire video segments and constructing corresponding histograms. Given that automatic classification of crowd patterns involves sudden and abnormal changes, a novel method is proposed to extract motion "textures" from dynamic STV (Space-Time Volume) blocks formed from real-time video streams.
An Intelligent Equipment Inspection System based on Robotic Arm
Authors: Ye Zewei , Zeng Liwei , Wang Qingzhang , Wang Zhicheng , Cui Jianhua , Cao Yanning , Shen Lingling , Qian Xiaojun
Published: December 2023

Intelligent robots have replaced manual labor to complete a lot of complicated work, especially in equipment inspection has advantages. The purpose of this paper is to design an intelligent robotic inspection system. The system is based on ROS and adopts YOLO algorithm, RRT* algorithm, Agile_grasp function package, and MoveIt! framework to realize the basic target recognition, position recognition, robotic arm navigation planning and other functions. The human-computer interaction interface has been designed, and the simulation test in Gazebo and the real machine test in real environment have also been completed. The system still has a large space for improvement, and further research will be conducted in the future in terms of response speed and accuracy.
Interval Type Combination Prediction Model based on Improved Grey Correlation Degree IOWHA Operator
Authors: Xu Feng , Cai Xiaowei
Published: December 2023

In order to improve the accuracy of interval number prediction, this paper proposes a new type of interval number combination prediction model based on improved grey correlation degree and IOWHA operator. Transform the interval number into the center and radius of equivalent information, introduce the IOWHA operator, use the interval number prediction accuracy as the inducing factor, and improve the grey correlation degree as the optimal criterion to construct a variable weight interval type combination prediction model based on the improved grey correlation degree and IOWHA operator. And the variable weight coefficient interval type combination prediction model is applied to the prediction of interval number sequences, and the example proves that the model is effective.