bluuebunny/crossref_metadata_2025 huggingface dataset:
Distribution Automation: Enhancing Efficiency and Reliability in Power Distribution Systems
Authors: Cao Yishuang , Zhang Yanwen , Wu Yihan
Published: September 2023

This paper investigates the importance of distribution automation in power distribution systems. The introduction highlights the challenges faced by traditional distribution systems, such as high losses, inefficient processes, and outdated infrastructure. Distribution automation, referred to as smart grid technology, is a transformative solution that integrates advanced technologies and automation devices to enhance power distribution, operational efficiency, and system reliability. This paper provides a comprehensive examination of various distribution automation devices, such as remote fault indicators, smart relays, automated switches and reclosers, automated capacitors, voltage regulators and load tap changers, feeder monitors, and transformer monitors. The importance of distribution automation is emphasized, including enhanced reliability, improved operational efficiency, enhanced customer satisfaction, and the integration of renewable energy resources. Opportunities for distribution automation, such as enhanced reliability, improved operational efficiency, enhanced data collection and analysis, integration of distributed energy resources, and demand response programs, are highlighted. Furthermore, the challenges associated with distribution automation, such as the cost of implementation, technical complexity, cybersecurity risks, workforce training and transition, and regulatory and policy framework, are discussed. Addressing these challenges requires collaboration among utilities, regulators, policymakers, and technology providers. The successful implementation of distribution automation can revolutionize power distribution, leading to more efficient, reliable, and sustainable electricity supply.
Review of Hyperspectral Imaging in Environmental Monitoring Progress and Applications
Authors: Zhang Qian , Willmott Mary B.
Published: September 2023

New, smaller and easy-to-carry hyperspectral imaging systems are changing the way we monitor the environment. These systems use advanced sensors to get information from the environment and can be used from the sky, like using a drone, or from the ground. This article talks about how we've been able to make these sensors smaller and more portable, and how we've started using cheap, everyday technology for these tasks. Right now, these systems help the existing ways we monitor the environment, but as this technology keeps getting better, we're expecting these new tools will be able to do the job all on their own soon. Even though these devices are cheap and light, they're already giving us high-quality scientific data. This means more people can use this technology, and we'll be able to collect a lot more information about our environment. So, this paper will provide a brief review of developments and technological advances in compact field deployable systems by using hyperspectral imaging sensors.
Research on AC Excitation Regulation Control System for Synchronous Generators
Authors: Pei Wei , Liang Geng , Gao Xuying , Feng Xiangyu
Published: September 2023

Although there are many methods for classifying the excitation systems of synchronous motors, there are three types of excitation systems for synchronous motors based on the numerous methods of providing excitation power to synchronous generators. One is a DC excitation system, the second is an AC excitation system, and the other is a static excitation system. This paper mainly studies the AC excitation system. The rotor speed of AC excited generators is variable and has excellent characteristics such as improving power system stability, allowing for deep operation without losing step. AC excitation generators not only have variable speed and constant frequency power, but also have independent adjustment functions for speed, reactive power, and effective power. The use of high-performance variable frequency excitation power supplies and appropriate excitation control methods can maximize the reliability, operational flexibility, and exceptional adjustment performance of AC excitation generators. The excitation system is an important part of synchronous generator operation. A good excitation system not only ensures the stable and reliable operation of the generator, but also greatly improves the stability of the motor and power system.
Junk Information Recognition Based on Naive Bayes
Authors: Zhang Yuanyao
Published: September 2023

This work mainly aims to learn and improve the existing methods of identifying spam information. In this work, the fundamental central principle is applied to naive Bayes. The improvement part is to use naive Bayes to achieve automatic recognition and reporting of spam information in the system, as well as a refined classification of spam information. This paper aims to further deal with junk information (illegal information) through naive Bayes, so as to meet the needs of People's Daily life. In the simple junk information recognition, add life elements, so that junk information recognition more life, close to life, service human.
Analysis on the Current Energy Consumption of Heating In Rural Toilets in Tibet
Authors: Yuan Xingjian
Published: September 2023

In order to grasp the basic sanitation facilities, toilet renovation planning and progress, residents' toilet habits and willingness to renovate, and the maintenance status of renovated toilets in townships and rural areas of Tibet, and to understand the basic situation and toilet renovation planning of public toilets in townships and rural areas. This article selects independent public toilets in agricultural and pastoral areas of Tibet as the research object. In response to the problems of low indoor temperature and high heat consumption in township toilets, the construction and heating status of township toilets were obtained through on-site research. The heating characteristics of township toilet buildings were summarized, and typical buildings were selected for load characteristics analysis, providing a preliminary basis for the design of solar heating schemes in the future.
Study on Spatial Differentiation and Accessibility of A-Level Scenic Spots in Yunnan Province
Authors: He Yongzhu , Nie Chenchen , Wang Chu , Han Li
Published: September 2023

A level scenic spot in Yunnan province as the research object, using the nearest, geographical concentration and nuclear density index analyzes the spatial distribution type and characteristics of level A scenic spot, using OD cost matrix based on vector road traffic network analyzes the accessibility of different types of scenic spots, using space autocorrelation analysis to explore the level A scenic spot accessibility in county space in Yunnan province. The research results show that the A-level scenic spots in Yunnan Province: 1. It presents a state of aggregation. The aggregation nature of cultural scenic spots is higher than that of natural scenic spots, forming three high-density areas with Tengchong, Lijiang and Kunming as the core; 2. Accessibility is generally general, with obvious regional differences. The accessibility is good in the areas with convenient transportation and good economy, while the accessibility of the natural scenic spots distributed in the border areas is poor; 3. The accessibility hot spots are mainly distributed in the circle areas centered on Kunming and Yuxi, and the cold spots are in the boundary areas of Pu'er, Lincang and Diqing.
Financial Literacy Research on The Mechanism of Action of Residents' Property Income and Path
Authors: Zhou Hong , Tan Yuan
Published: September 2023

Property income, as a kind of derived wealth, may produce the Matthew effect of "the poor getting poorer and the rich getting richer", which in turn leads to further widening of the wealth gap and more serious income disparity among residents. Based on the 2014 data of the China Household Tracking Survey (CFPS), we analyze the relationship between financial literacy and residents' property income using Tobit model, Probit model, Poisson regression and Sobel test. This paper finds that financial literacy has an enhancing effect on residents' property income. Mechanism and path analysis found that risk attitude and financial planning play a mediating effect in the process of financial literacy affecting residents' property income.
Comparison and Analysis of SOC Estimation Based on First-Order and Second-Order Thevenin Battery Models Based on EKF
Authors: Xia Yue
Published: September 2023

The accurate modeling and estimation of state-of-charge (SOC) of lithium-ion batteries are of great significance for their utilization efficiency, service life extension and battery management system (BMS) design. This paper aims to provide understanding and guidance for understanding and guidance on different battery models and their parameter selection by comparing and analyzing the performance differences of Extended Kalman Filter (EKF) algorithm based on the first-order Thevenin battery model and the second-order Thevenin battery model. The Battery module in Matlab/Simulink is used to simulate the HPPC (HybridPulse Power Characterization) test of real batteries, and the model is parameterically identified. By establishing Thevenin battery models of different orders and applying the EKF algorithm for SOC estimation, the differences in accuracy, robustness and computational complexity of the two models are compared and analyzed, and experimental verification is carried out under different working conditions.
Research Direction of Oil-immersed Transformer
Authors: Huang Yanbo
Published: September 2023

With the continuous development of the electric power industry in the world, the application of oil-immersed transformer in all walks of life has become more and more extensive. But the safety problem of oil-immersed transformer, environmental protection problem, heat energy recovery and utilization problem are always the three mountains in front of the power system researchers. Therefore, it is particularly important to develop a new type of transformer that can adapt to the green, innovative and sustainable development of the power system. This paper will discuss the new ideas and new directions of oil-immersed transformer research in the future from three aspects: the study of transformer oil, the recovery and utilization of transformer heat energy, and the noise reduction of transformer.
Optimization of Landing Attitude Stability for Quadrotor Drones
Authors: Xiao Yang
Published: September 2023

During the regular landing process of drones, they are often susceptible to the impact of ground effect and wind disturbances, which results in an inability to maintain parallelism with the ground. Drones are subjected to various types of wind disturbances during landing. Therefore, this study aims to analyze and model the varying characteristics of wind speed under natural conditions and introduce it as environmental noise into the system to evaluate the performance of the control algorithm. The goal of this research is to mitigate the impact of wind disturbances, such as oscillations during the landing process. By maintaining the pitch angle within 20%, we can ensure the drone lands quickly and accurately. In terms of algorithm, this research improves upon the existing PID (Proportional-Integral-Derivative) algorithm control for landing, and adopts a modified fuzzy PID algorithm, which can effectively enhance the control performance and response time of the drone.
Design and Control Strategies for Mechanical Hydraulic Transmission Systems
Authors: Yin Xinqiao
Published: September 2023

With the development of social and economic development, all walks of life are progressing rapidly, and mechanical hydraulic transmission technology has been widely used. Mechanical hydraulic transmission technology is a widely used, high efficiency, energy-saving and environmentally friendly transmission technology, mainly using liquid as the medium, relying on the pressure of the liquid to transmit power. Due to the strong mobility of the liquid, the pressure and flow of the liquid can be changed at will, therefore, it is widely used in mechanical hydraulic transmission systems. This paper takes the design of mechanical hydraulic transmission system as content, combined with the analysis of contemporary problems in the design and control of mechanical hydraulic transmission system, and explores the common problems and solutions in the design process of mechanical hydraulic transmission system. This paper discusses the design and control methods of mechanical hydraulic transmission system control strategy, and hopes to provide some reference for colleagues.
Research on Sustainable Countermeasures for Shared Parking Development
Authors: Liu Yaqian , Wu Rui
Published: September 2023

Utilizing "shared parking" can effectively enhance the utilization of private parking spaces, thereby increasing the overall supply of parking spots and contributing to alleviating the urban "parking challenges." Based on the current research status of shared parking both domestically and internationally, this article focuses on analyzing the existing issues and proposes corresponding strategies and recommendations to address these challenges.
Research on UAV Cluster Obstacle Avoidance Algorithm Based on Improved Artificial Potential Field Method
Authors: Zhang Lige
Published: September 2023

In view of the shortcomings of the traditional artificial potential field method for the obstacle avoidance of the UAV cluster, this paper solves the safety problem of obstacle avoidance during the flight of the UAV group, introduces the relative speed repulsion force field between the UAV group and the dynamic obstacle, and builds a virtual force field to solve the obstacle avoidance problem of the Calculate the force between the drones according to the distance between the drones. The obstacle generates repulsive force on the drone, the target generates gravity on the drone, and the combined force of gravity and repulsion acts on the drone to control the drone to avoid obstacles. The paper aims to realize multi-UAV obstacle avoidance, and improves the artificial potential field method. Through the design of the formation of UAVs and the UAV obstacle avoidance algorithm, the obstacle avoidance of UAVs is carried out. The simulation results show that the improved artificial potential field can meet the safety, real-time and accessibility requirements of the path planning of the UAV under the dynamic change of targets and obstacles, and improve the tracking and obstacle avoidance speed of the UAV in the dynamic environment.
Review of the Application of Attapulgite and Their Colloids
Authors: Bao Chenyang
Published: September 2023

This paper provides a systematic summary and organization of the relevant knowledge on the colloids of attapulgite. It aims to comprehensively understand the characteristics, preparation methods, and application areas of conjugated block copolymer colloids. Additionally, it conducts a comprehensive analysis and evaluation of the research achievements in the field of conjugated block copolymer colloids. By reviewing a large number of literature sources, the application status, advantages, disadvantages, challenges, and problems of conjugated block copolymer colloids in different fields are explored. This facilitates in-depth thinking and analysis of the potential and development directions of conjugated block copolymer colloids, thereby promoting further research and application in both academia and industry. It also encourages communication and collaboration in related fields, providing guidance and inspiration for future studies. Moreover, this review proposes potential research directions and innovative points to drive further advancements in this field.
A Review of Deep Learning in The Field of Plant Root Segmentation
Authors: Liao Weichen
Published: September 2023

Plant root segmentation is an important research task, which is of great significance for understanding plant growth and development process. Deep learning has become a research direction worthy of attention in this field. This paper mainly introduces plant root segmentation methods based on deep learning, and reviews the application of various methods in different fields. The problems of data quality, model fitting ability and real-time performance, and the significance of transfer learning, multi-task learning and reinforcement learning in application are put forward. Finally, it is pointed out that future research should focus on how to better cope with the challenges of root morphology and scale change, and pay more attention to the robustness and scalability of the algorithm. In conclusion, deep learning has had an important impact on image segmentation of plant roots.
Train Brake System Pipe Leakage Detection and Early Warning Method Based on Bayesian Networks
Authors: Hu Jiaqiao , Zhou Liming , Wu Qiang , Hua Jin
Published: September 2023

This paper proposes a method for detecting and warning about leaks in train braking system pipelines based on Bayesian networks. Firstly, a detection model for pipeline leaks is established through the learning and inference of Bayesian networks. In the anomaly detection phase, the Bayesian network model is trained using historical data to monitor brake pressure abnormalities in real-time. Secondly, in the parameter regression calibration phase, the location and severity of the pipeline leaks are estimated based on the current brake pressure and relevant parameters. Finally, in the fault inference phase, the Bayesian network model is used to infer the possible causes of the leaks. The effectiveness and reliability of this method are verified through simulation design and actual data analysis. Compared to existing methods, this method can provide accurate leak detection and warning, thereby contributing to the safety of train operation. This research provides an effective method for detecting and warning about leaks in brake system pipelines and has practical application value.
Research on User Profile Combined with Collaborative Filtering Recommendation Algorithm for Intelligent Tourism
Authors: He Chun , Hua Caijian
Published: September 2023

In recent years, the online travel sector in the tourism industry has experienced significant growth and popularity due to the development and widespread adoption of internet technology and smart devices. However, despite these advancements, scenic spots have struggled to provide precise services to tourists, as the online marketplace is flooded with numerous and disorganized commodity resources, lacking standardized construction and systematic management. As a result, travelers find it challenging to access specialty goods that cater to their personalized needs. To address this issue, this paper proposes the use of user profiling and collaborative filtering recommendation algorithms to achieve personalized recommendations for specialty products in scenic spots. The general process of constructing user profiles for scenic spots and combining them with collaborative filtering algorithms to create an intelligent tourism recommendation system is outlined. The paper also highlights the current challenges faced by this system in practical applications and provides future research prospects to promote accurate services in tourist attractions.
Advances in Theory and Technology Research of Low Temperature Combustion (LTC) for Diesel Engines
Authors: Liao Kuan
Published: September 2023

The increasingly stringent emission regulations and the oil crisis have promoted the research and development of engine technology. As an advanced combustion technology, low temperature combustion has been attracting attention from all walks of life in recent years. This paper analyzes the deficiencies of traditional combustion, and summarizes the research progress of diesel engine low temperature combustion from three aspects of combustion system parameters, injection strategy and fuel characteristics.
The Application of Activated Carbon in The Removal of Organic Compounds from Wastewater
Authors: Xue Jihang
Published: September 2023

Removing organic compounds from wastewater is a crucial process to protect the environment and human health. It's high for activated carbon to adsorb capacity and efficiency due to it has been proved that it is a promising option which is powerful for the removal of organic compounds. This paper explores the performance of activated carbon in various wastewater treatment processes, including case studies and experimental data on the use of activated carbon in how to remove specific organic compounds. The discoveries in this review article offer the insights for further research into the potential for improving the effectiveness and efficiency of activated carbon based the processes of wastewater treatment.
Research on Dynamic Monitoring Technology for Dengsi Gas Reservoir in Gaoshiti Moxi Block
Authors: Yang Huohai , Liao Qingrong
Published: September 2023

The fourth group gas reservoir in the Moxi platform edge zone of Anyue Gas Field is a super large carbonate gas reservoir with edge and bottom water in China. There is no mature development experience in this type of gas reservoir in China, and there is a lack of a systematic dynamic monitoring system. This article focuses on the challenges and key technical issues faced by gas reservoir dynamic monitoring work. Through active exploration, continuous improvement, and innovation of dynamic monitoring technology and analysis methods, a dynamic monitoring system suitable for the four groups of gas reservoirs with lights at the edge of the Moxi platform has been constructed. Five key dynamic monitoring technologies, including pressure and temperature dynamic monitoring technology, production capacity monitoring and evaluation technology, fluid property monitoring technology, water invasion monitoring and identification technology, and well connectivity monitoring and evaluation technology, have been developed for the four gas reservoirs in the Moxi platform edge zone. Scientific and reasonable development measures have been formulated to support the preparation of the overall water control plan for the gas reservoir, It has played a role in ensuring the scientific and efficient development of large-scale edge and bottom water carbonate gas reservoirs.
Construction Technology of Steel Structure Prefabricated Panel Wall
Authors: Sun Renhong , Lin Yiwu , Hou Fuxin
Published: September 2023

Prefabricated steel structure buildings and prefabricated partition walls generally have many joints and pores. Therefore, prefabricated steel structure prefabricated panel walls and steel structures can achieve high air tightness requirements, which can be solved by deepening the connection between prefabricated panel walls and steel columns, steel beams, and gaps, and conducting air tightness treatment. Based on an example of a steel structure residential building project in Yinzhou District, Ningbo, this article focuses on introducing the connection details and gap treatment of prefabricated panel walls, steel columns, and steel beams, and analyzing key technical control points.
Preface: 4th International Conference on Business Management, Humanities and Education Engineering (BMHEE 2023)
Authors: Zephaniah Hilary , Zhang Shihong
Published: September 2023

The 2023 4th International Conference on Business Management, Humanities and Education Engineering (BMHEE 2023) was held on July 15-16, 2023, in Copenhagen, Denmark. The aim of this conference is to bring together innovative academics and experts in the fields of business management, applied economics, corporate governance, humanities, education engineering, and social sciences to a common forum. The conference will be held every year to make it an ideal platform for people to share views and experiences.

BMHEE 2023 provides a forum for all attendees to share and exchange ideas and research findings in respective fields. The conference allows the exchange of knowledge between different research domestic and foreign centers representing various fields.

We enjoyed 4 keynote speeches and many oral presentations made by the authors which lasted for 10-15 minutes each, and a lot of inspiration sparked during the Q&A parts. Researchers who have contributed their work to BMHEE 2023 shared their findings and experience with other researchers and attendees. Many participants without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas. This conference is initiated to contribute cutting-edge ideas. Thanks to the dedication of every committee member and the reviewers, we finally made this conference.

Organizing Committee of BMHEE 2023

Copenhagen, Denmark
The Challenges on The Work Stress of Young College Teachers in L University
Authors: Xi Dong , M. Dindin Jennifer
Published: September 2023

This study investigates the challenges encountered by young college teachers at L University and proposes coping mechanisms to address these challenges. The challenges identified in this study include workload, lack of experience, high expectations, work-life balance, and interpersonal dynamics. Through a comprehensive review of relevant literature and interview of key informants, this research examines the specific context of L University. Based on the findings, coping mechanisms are suggested, such as effective time management, professional development opportunities, clear communication of expectations, setting boundaries, prioritizing self-care, building support networks, and developing conflict resolution skills. Implementing these coping strategies can help young college teachers effectively manage their work stress, improve job satisfaction, and maintain a healthy work-life balance. By addressing these challenges, L University can foster a supportive and conducive environment for young teachers, promoting their professional growth and well-being.
The Impact of ChatGPT on HR Recruitment
Authors: Zhang Yifan
Published: September 2023

With the development of technology, ChatsGPT has become known as a new artificial intelligence tool. ChatGPT can generate text by analysing the language of the data to write and even talk to people. Because of its intelligence, it has been welcomed by many users. In the HR recruitment process, there are often many interviewees to be screened, and HR practitioners usually spend a lot of time posting jobs, communicating about the position, arranging interviews, etc. There is a lot of text generation and dialogue required in these processes, ChatGPT can then help with some of the work, but this can also cause problems. This paper will analyze the role ChatGPT may play in the HR recruitment process and whether ChatGPT may have a negative impact on HR recruitment. Examining the feasibility of using ChatGPT to help HR recruitment, will help solve some existing problems in HR recruitment or help HR recruitment to proceed more efficiently.
The Impact of AI on Organizational Employees: A Literature Review
Authors: Wang Qiwei
Published: September 2023

The quick advancement of artificial intelligence technologies represents a backdrop that cannot be disregarded in contemporary organizational management practice and research. Based on the field of human resource management, the study reviews and summarizes the impact of AI on the subject of human resource decision-making—employees—from the viewpoint of organizational management. This study takes two important research directions of AI and organizational management research at the individual level, and summarizes the research on employees' adoption of AI technology and the impact of AI on them individually in organizations. The adoption of AI technology by employees is influenced by technological, organizational and personal factors. AI technology shows the advantage of augmentation effect on employees on the one hand, and the phenomenon of automation, i.e. substitution effect on the other. Organizations should place a high value on the new changes that AI has made to the workplaces, attach importance to employees' attitudes, psychological and behavioral responses to new intelligent technologies. Utilize AI technologies to support decisions and promote the development of the new model of "AI+HRM".
Organizational Slack Research in China:An Overview and Outlook
Authors: Pei Chengyu
Published: September 2023

Based on the resource-based theory, enterprises are paying more and more attention to the rational use of internal resources to enhance their competitiveness. China is in the stage of economic transformation, and many enterprises have a large amount of redundant resources. Organizational slack is regarded as resources that are kept inside the organisation in excess of actual needs and controlled by individuals or small groups, and this kind of resources is a "double-edged sword". Different scholars have carried out detailed studies on organizational slack and reached different conclusions. This paper analyses and summarizes the concept, classification, measurement, and current status of research on organizational slack. Specifically, the research on organizational slack includes the antecedents of organizational slack, and the consequences of organizational slack (performance, innovation, corporate social responsibility, mergers and acquisitions, and internationalisation, entrepreneurship and growth, and strategic change, etc.). Based on the summary of existing research, this study proposes future research directions, and these discussions will help enterprises to correctly understand as well as rationally use redundant resources, and improve enterprise performance and innovation.
Research on the Image Communication of Northeast Cities in The Post-Winter Olympics Era
Authors: Zhao Tianyuan , WU Shumin
Published: September 2023

In this article, under the background of the post-Winter Olympics era, we analyze and study the image dissemination of the northeast city with unique ice and snow resources, Based on the analysis results of the survey questionnaire and the author's observation and thinking on the current situation of image communication in northeast China, Analyzing the effect of the Beijing Winter Olympics on the image dissemination of northeast China, And find out that the corresponding problems, at the same time, In-depth research on the image of northeast city under traditional media, new media, cultural products and the characteristic festival activities in northeast China, Deep into the northeast urban culture, Exploring the spiritual connotation of the northeast city, To reexplore the new image shaping ways and communication strategies of northeast cities in the post-Winter Olympics era, To build the northeast of ice and snow and establish the overall communication view of the northeast city image, Fundamentally, the image of the northeast city is "re-shaped" and "new dissemination".
Sisyphus and Wu Gang─Probing into Humanity and Divinity in Ancient Greece and China’s Legends
Authors: Zheng Yishuai
Published: September 2023

This article starts with "Sisyphus" and "Wu Gang" in Greek Roman mythology and Chinese mythology, and analyzes the humanistic deity in the two traditional cultures. Firstly, a brief introduction and comparison were made between the two legends, showcasing the different characteristics of humanistic divinity. Among them, Greek mythology emphasizes the value of human beings, while Chinese divinity emphasizes the harmonious coexistence and moral nature of human beings and nature. People's attention and belief in the two gods also reflect two different value orientations. Finally, this paper makes a cross-cultural analysis of the humanistic deities of the two traditional cultures, points out the different value orientations of collectivism in Chinese traditional culture and Humanism in Greek and Roman culture, and emphasizes the importance and value of both in world culture. This article is an in-depth analysis of the differences between Western and Eastern culture, which will help deepen the cultural differences and value orientations of the two traditional cultures.
Research on Interactive Children's Teaching Mode Driven by Artificial Intelligence Technology
Authors: Xie Jing
Published: September 2023

This paper designs an interactive system of intelligent robots for children's education, which includes interactive desktop devices and interactive robot devices. Teaching and interactive content can be displayed through the display surface of the interactive desktop device. A user manipulates the display surface via gesture manipulation or teaching tools. Interactive desktop devices perform interactive information gathering. A new time series similarity measurement method is given. The display surface and the interactive robotic device provide interactive feedback to the user through sounds, images, and lights. The guidance and interactive operation of the interactive robot on the display surface enhances the effect of the interactive operation. The effectiveness of this method is verified by simulation experiments.
Proletarian Emancipation of the Mind from the Text Interpretation of the The Communist Manifesto
Authors: Liu Xiaobi
Published: September 2023

The proletarian liberation and human liberation always run through Marx's thoughts, which is not only based on the realistic investigation of the capitalist society in which he lived, but also a profound insight into the proletariat and its political movement. In the Manifesto issued in 1848, Marx and Engels comprehensively and systematically expounded the historical conditions of proletarian liberation, the historical mission of human beings, the path to reality, the debate of homomorphic ideological trends and so on. Therefore, it is of great value to take the manifesto as a reference for a comprehensive interpretation of proletarian thought.
Geographical name culture sharing query service system for the "Belt and Road"
Authors: Wang Meiao , Gao Wei , Fu Xinyuan , Sun Wenhao
Published: September 2023

With the advancement of the "One Belt and One Road" initiative and the rapid development of the world economy, given the problems of scattered geographical name culture resources and incomplete information in the areas along the "Belt and Road", this paper aims at the massive geographic information data along the "Belt and Road" and proposes a method based on web crawlers and task crowd. Package shared service platform construction method, and develop the client based on MySQL database and WebGIS, provide real-time data update and resolution, cultural information query and other functions, and realize geographic information and place name cultural query function. Open up new ideas for the construction of the "Belt and Road" platform, perceive and obtain geographical information of geographical names from the public's perspective, and provide real-time and dynamic inquiry channels for the public.
The distance from authenticity to reality in The Non-existent Common Site
Authors: Cheng Bi
Published: September 2023

French philosopher Guy Debord said in his work The Society of the Spectacle that "the spectacle of the society is not the collection of the pictures but the social relationship among people manipulated by the pictures." People give much approval to the pictures in modern society which focus on visual transmission. Especially the documentary photography, people don’t just treat the resolution of images as sending visual information because they believe the intuitive property of "seeing is believing", subtly, images have been the carrier of more and deeper content.[1].
Higher Expectations of Artificial Intelligence in Terms of Morality and Humanity
Authors: Zhou Junzhe
Published: September 2023

This article delves into the critical question of whether Artificial Intelligence (AI) should adhere to higher standards of morality and humanity. As AI systems infiltrate our everyday lives, their influence surfaces profound ethical and moral conundrums, primarily due to their intrinsic limitation in exercising moral judgments. The ethically sound deployment of AI requires a comprehensive understanding of these moral challenges and the construction of suitable safeguards. The article further scrutinizes the repercussions of AI on our conception of human nature, highlighting potential modifications in human relationships and the essence of our humanity. It contends that AI systems, given their decision-making prowess, should be governed by robust moral principles and human values to curtail harm and endorse fairness and justice. The piece accentuates the pivotal role of human guidance in AI development and application, asserting that these technologies should align with our values. It concludes with an emphasis on the need for continuous surveillance to ensure that AI technologies benefit society, underlining the importance of aligning AI with our moral and human expectations for sustainable societal progression.
Fire Detection of yolov8 Model based on Integrated SE Attention Mechanism
Authors: Wei Zihe
Published: September 2023

Our proposed method utilizes YOLOv8 and SE attention mechanism for detecting fires, which is crucial for early detection and prevention. Our method balances accuracy and real-time performance while detecting fires in various scenarios. The proposed method achieves an average mAP0.5 value of 0.730, with an improvement from the original model's mAP0.5 value of 0.707 after incorporating the SE attention mechanism. We evaluated our model on a benchmark dataset and demonstrated its effectiveness in accurately detecting and localizing fires with high precision and recall rates. Experimental results confirm the effectiveness of our proposed method in accurately detecting and localizing fires, demonstrating its potential for wide application and promotion in the fire safety industry.
Design and Implementation of a Learning Resource Recommendation System based on User Habits Based on GNN
Authors: Lu Jingxuan , Jeong YangKwon , Xue Jiaqi
Published: September 2023

This project aims to design and implement a learning resource recommendation system based on Graph Neural Networks (GNN). The system utilizes user learning habits as a foundation to provide personalized learning resource recommendations. By collecting and preprocessing user learning history data, and constructing a user-resource relationship graph, the GNN model is used to learn the representation vectors of users and resources. Combined with user habit features, appropriate recommendation algorithms are employed to recommend learning resources that align with their interests and habits.
Application of Improved Immune Particle Swarm Optimization in 3D Node Localization
Authors: Xu Minghong
Published: September 2023

When 2D localization algorithm is extended to 3D space, it achieves node localization with better localization accuracy. An improved immune particle swarm optimization (IIPSO) localization algorithm is proposed to estimate the localization of nodes in wireless sensor networks (WSN). The results show that IIPSO algorithm outperforms the traditional two-dimensional localization algorithm based on iterative estimation of the center of mass by 3%-6%. The proposed algorithm has better resistance to RSSI measurement errors and can achieve more than 99% node localization coverage through multiple iterations, which is effective for WSN.
EMD-BiLSTM Stock Price Trend Forecasting Model based on Investor Sentiment
Authors: Xu Tianyu , He Xiaoling
Published: September 2023

The movement of stock prices is the focus of investors' attention in the stock market, so stock price trend prediction has always been a hot topic in quantitative investment research. Traditional machine learning forecasting models are difficult to process nonlinear, high-frequency, high-noise stock price time series, which makes the prediction accuracy of stock price trends low. In order to improve the prediction accuracy, according to the temporal characteristics of stock price data, it is proposed to use a combination of empirical mode decomposition (EMD), investor sentiment and two-way long short-term memory neural network to predict the rise and fall of stock prices. Firstly, the empirical mode decomposition algorithm is used to extract the characteristics of the stock price time series on different time scales, and the investor sentiment indicators of the text from the close of the previous stock trading day to the opening of the next trading day are extracted by constructing a financial sentiment dictionary, and finally the EMD-BiLSTM model is used to predict the rise and fall of the next index trading day. Experiments on the dataset of stock price series show that the optimized BiLSTM model has strong predictive ability for the trend of consumer sector indexes.
Discrimination of Insurance Fraud Based on Machine Learning
Authors: Yang Tianqi , Wu Yue
Published: September 2023

In the insurance industry, Insurance fraud is a common phenomenon. However, according to statistics, among all types of insurance, automobile insurance fraud is the high incidence time of Insurance fraud. Based on 39 characteristic variables in the insurance claims database, this paper completes data preprocessing through normalization and coding of Categorical variable; Then it analyzes the correlation between data characteristics and Insurance fraud; Then, the principal component analysis method is used to reduce dimensionality and extract features from multi-dimensional features; Finally, the SVM classifier is trained to effectively identify Insurance fraud. The research results show that the model is effective in identifying Insurance fraud, and can achieve 79% accurate discrimination.
Discussion on the Influence of Accounting mputerization on Audit
Authors: Su Changjie
Published: September 2023

The implementation of accounting computerization has greatly improved the speed and accuracy of accounting information processing, which is an unprecedented leap in the history of accounting development. However, the popularization and application of accounting computerization are bound to affect audit work; the traditional audit has been unable to adapt to the new situation and new requirements of computerization. Accounting computerization promotes the change of audit theory, technology, and method, but at the same time, it also causes new situations such as computer fraud, brings new audit risks, and puts forward higher requirements for auditors. This paper discusses the influence of accounting computerization on audit work and puts forward some suggestions and countermeasures for the existing problems of audit work under the condition of computerization.
GGDP: A Better Measure of a Country's Economic Health
Authors: Zhao Linlin , Yang Yaqi
Published: September 2023

According to a report by the United Nations Environment Programme (UNEP), half of the world's GDP is dependent on nature, and Green GDP (GGDP), which takes into account all types of natural resource depletion, may be a better indicator of economic health. To determine whether GGDP can be a better measure than GDP, this paper firstly determines the accounting method of GGDP based on the SEEA accounting system and the research of scholars in the field, then constructs the Climate Benefit Index (CBI) to measure the global climate quality, and finally proposes a three-stage projection model to collect relevant data of the top 20 countries in terms of GDP from 2010 to 2021. The analysis found that the global climate quality improved significantly after GGDP replaced GDP as the accounting indicator. This suggests that GGDP is a better indicator of economic health.
Empirical Research on Credit Evaluation of Real Estate Industry Based on Multi-source Data Fusion
Authors: Liu Jiahui
Published: September 2023

In this paper, based on the evaluation of corporate credit risk using traditional financial indicators, we will combine with non-financial data, define whether the listed company has ST in its abbreviation as a default fact, and establish a logistic model to quantitatively analyze the credit risk. In this paper, 123 listed companies in the real estate industry are used as samples, and the financial data, number of employees, percentage of shareholding of the largest shareholder, and CEO's education disclosed in the 2019 and 2020 annual reports are obtained through the Guotaian and CNRDS databases. Using principal component analysis to extract principal component factors from 21 financial data and combining non-financial indicators, a logistic model based on financial indicators and a logistic model based on financial and non-financial data were constructed to study the impact of non-financial data on company credit risk. It is found that non-financial indicators reflecting company size as well as corporate governance ability have a certain degree of influence on the credit risk of the company, i.e., the prediction results of the logistic model based on financial and non-financial data are more effective.
The Human Rights Obligations of Multinational Corporations and Their Regulation
Authors: Feng Chang Jung
Published: September 2023

With the deepening of globalization, the involvement of transnational firms in the process of world economic development is becoming increasingly significant. Global supply chain production and sales are increasingly being handled by multinational enterprises. As a result, in order to obtain profits, transnational corporations are polluting the host country's environment, utilizing illegal labor practices and other abuses of human rights when conducting their business. Therefore, it has become the focus of the international community and rights advocacy organizations to assume the responsibility of human rights of transnational corporations. In this context, through literature analysis, comparative method and other research methods, this paper studies the urgency and necessity of multinational firms must take on obligations related to human rights, the current situation and dilemma of multinational corporations to undertake human rights responsibilities, and the legal regulation of multinational corporations' human rights responsibilities. There are three main ways to investigate the human rights responsibility of transnational corporations: state regulation of transnational corporations, non-governmental organization regulation of transnational corporations and self-regulation of transnational corporations. However, at present, these approaches are not enough to guarantee the obligations of multinational corporations with regard to human rights, and these measures must be strengthened to regulate the human rights responsibilities of transnational corporations.
Regulatory Issues and Recommendations on Transfer Pricing Tax Avoidance by Multinational Corporations
Authors: Niu Yunhe
Published: September 2023

In recent years, with the continuous development of the global economy, multinational corporations allocate resources in various ways to reduce the overall tax burden of the group to achieve the business goal of profit maximization. The transfer pricing method is one of the most common international tax avoidances means used by multinational corporations. Although transfer pricing tax avoidance does not constitute an illegal act in form, in substance, it causes serious capital loss in the host country and infringes on the tax sovereignty of the host country. However, there are still many research gaps in international anti-avoidance regulation, so it is necessary to analyze and recommend the regulation of transfer pricing tax avoidance by multinational companies. This paper introduces a typical case of transfer pricing tax avoidance by Apple, introduces the principles and hazards of transfer pricing tax avoidance, and analyzes the current situation and shortcomings of transfer pricing tax avoidance regulation from three levels: multinational corporations, home countries, and host countries, and then propose suggestions to improve the regulation at the national, multinational corporation and social management levels.