bluuebunny/crossref_metadata_2025 huggingface dataset:
On the use of the hardware and software complex Safe City in countering crime
Authors: Батоев В.Б.
Published: December 2023

В условиях формирования цифровой среды, информационно-телекоммуникационных технологий, компьютерного зрения, искусственного интеллекта, а также активного развития и внедрения различных по функционалу систем видеонаблюдения для правоохранительных органов особое значение приобретает задача совершенствования методов и средств информационного обеспечения правоохранительной деятельности. Одним из основных направлений такого совершенствования является деятельность по внедрению систем видеонаблюдения в целях решения задач борьбы с преступностью. Рассмотрена эффективность использования возможностей правоохранительного сегмента (далее – ПС) аппаратно-программного комплекса (далее – АПК) «Безопасный город». Проведен анализ статистических данных Главного информационно-аналитического центра МВД России. Выявлены основные недостатки, устранение которых предложено рассматривать в качестве направления совершенствования и оптимизации процесса информационного обеспечения правоохранительной деятельности. Автор считает, что устранение указанных проблем должно получить статус приоритетного направления при решении вопросов организации обеспечения общественной безопасности и общественного порядка. Полагаем, что данная научная статья вызовет интерес у научной общественности, практических сотрудников и иных заинтересованных лиц.

In the context of the formation of the digital environment, information and telecommunication technologies, computer vision, artificial intelligence, as well as the active development and implementation of video surveillance systems of various functionalities, the task of improving the methods and means of information support for law enforcement is of particular importance to law enforcement agencies. One of the main directions of such improvement is the implementation of video surveillance systems in order to solve the problems of combating crime. The effectiveness of using the capabilities of the law enforcement segment of the hardware and software complex Safe City is considered, the analysis of statistical data of the Main Information and Analytical Center of the Ministry of Internal Affairs of Russia is carried out. The main shortcomings are indicated, the elimination of which is proposed to be considered as a direction for improving and optimizing the process of information support for law enforcement. The author believes that the elimination of the indicated problematic issues should receive the status of a priority direction in solving the issues of organizing the provision of public safety and public order. We believe that this scientific article will be of interest to the scientific community, practitioners and other interested parties.
On the prospects of introducing the latest Artificial Intelligence and neural networks into the preliminary investigation phase: GPT-4, DALL-E 2, Whisper and Shodan
Authors: Мартынюк Э.Г.
Published: December 2023

Современный мир невозможно представить без технических средств, позволяющих не только взаимодействовать на расстоянии, но и в качественных величинах развивать повседневную человеческую деятельность. При этом подавляющая часть общества использует достижения научно-технического прогресса во благо человечества, между тем в любой стране есть люди, которые используют современные изобретения и открытия в преступных целях. В статье рассматриваются перспективы развития уголовного судопроизводства на стадии предварительного расследования. Анализируются возможности и потенциал современных достижений науки и техники, таких как нейросети ChatGPT-4, DALL-E 2, Whisper и поисковая система Shodan, на предмет включения их на стадию предварительного следствия. Проводится аналитический обзор их функциональных возможностей, перспектив использования в конкретных следственных ситуациях. Предлагается методика расследования отдельных видов преступлений с использованием искусственного интеллекта и нейросетей, в том числе в ходе проведения конкретных судебных экспертиз. В заключение проводится юридическая и этическая оценка использования указанных систем, а также решается вопрос о целесообразности их применения для достижения целей предварительного расследования и в целом уголовного судопроизводства. Формулируются выводы по проблематике настоящего исследования.

The modern world is inconceivable without the technical means to interact not only remotely, but also qualitatively to develop everyday human activities. In this regard, the vast majority of society moves progress, and the rest uses it for no good purpose, trying to circumvent the letter of the law. Thus, the article considers prospects of development of criminal proceedings at the stage of preliminary investigation. The possibilities and potential of modern scientific and technical developments, such as ChatGPT-4, DALL-E 2, Whisper and Shodan search engine, are analyzed for inclusion in the preliminary investigation stage. Analytical review of their functionalities, prospects for use in specific investigation situations. The article offers a method of investigation of certain types of crimes using artificial intelligence and neural networks, including during specific forensic examinations. The report makes a legal and ethical assessment of the use of these systems and determines whether they should be used for the purposes of the preliminary investigation and criminal proceedings in general. Relevant conclusions on the issues of this study are drawn.
Study on phase transition critical phenomena in group movement based on eigen microstate theory
Authors: Wang Weihang
Published: December 2023

Group motion exists widely in nature. Physicists use abstract models, such as the Vicsek model, to simplify group motion to obtain universal laws. However, the order parameters and phase transition types that describe the characteristics of the Vicsek model system are still controversial. For example, how to characterize the order parameters and types of phase transitions that characterize the system. This paper starts with the eigen microstate method and studies the Vicsek model. First, the continuous phase transition in the system is deeply studied through scaling analysis, and two critical exponents about the noise are obtained. Second, considering the density effect, similar to the noise study, three eigen microstates in the Vicsek model are revealed through scaling analysis, showing discontinuous and continuous phase transitions. Moreover, it is proved that in the actual infinite system, continuous phase transition and discontinuous phase transition still exist. Finally, the experimental data under different noises and densities are obtained through a large number of numerical simulations, and the phase diagram of the Vicsek model is depicted.
Research on the status quo and future forecast of 6G
Authors: Lyu Mingze
Published: December 2023

The commercial launch of 5G has already begun globally, in the meantime, academia and industry have carried out research on 6G as planned. 6G will bring a new perspective of communication technology, incredible technological innovation, fulfilling coverage technology application, and massive scale of in-depth technology integration. This paper describes technological vision on 6G based on the current situation of mobile communication technological development, and then considers the future directions of technological development from the perspective of 6G, this paper introduces new value offered in the 6G era to support the potential use cases put forward in Chapter 4. Requirements of 6G reveal the goals of mobile developmentsmarter, faster and greener, which provide reference for industry and society in the 2030s.
Design of a high bandwidth ECG signal low noise amplifier circuit for wearable devices
Authors: Liu Xinze
Published: December 2023

Nowadays, more than one million people die due to heart problems annually. Detecting the Electrocardiogram curve is an effective way to evaluate heart condition. Compared with large devices in the hospital, wearable devices are showing their advantage in detecting peoples Electrocardiogram whenever and wherever possible. However, in traditional amplifier circuit design, there is less attention to the bandwidth. The noise is negatively correlated with the current while the power consumption is positively correlated with the current, so it is challenging to balance the noise and power. Therefore, a design of a high bandwidth Electrocardiogram signal low noise amplifier circuit for wearable devices is proposed in this paper. The improved circuit is based on a conventional instrumentation amplifier and consists of two stages. The op-amps were replaced with Operational Transconductance Amplifier. The circuit also has a Driven-Right-Leg circuit part, which can tremendously reduce the effect of common-mode noise. The simulation result shows that the circuit has a high bandwidth and stable gain. Meanwhile, the circuit consumes less power and has a low integrated input-referred noise. This study is extremely helpful in expanding the application of wearable Electrocardiogram signal-detecting devices.
A comparative Analysis of AES and RSA algorithms and their integrated application
Authors: Tuo Zehao
Published: December 2023

Cryptography holds a significant place in the realm of information technology, safeguarding sensitive information from unauthorized access. This discourse centers on two prevalent cryptographic algorithms: AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman). While AES falls under the category of symmetric cryptography, RSA is a part of asymmetric cryptography. The papers objective lies in furnishing readers with an insightful exploration of both algorithms, delving into their respective strengths and weaknesses. A comprehensive examination reveals the intricate details of their operation, highlighting the security aspects and potential vulnerabilities. Understanding the fundamental distinctions and the operational mechanics of AES and RSA contributes to an enhanced perception of their application in diverse cryptographic contexts. Beyond this, the paper delves into the synergistic utilization of AES and RSA, presenting an innovative approach to reinforcing information security. This integration leverages the unique advantages of both algorithms, mitigating their individual limitations and bolstering the security framework. In essence, a balanced perspective on AES and RSA, along with their collaborative application, furnishes a robust foundation for informed cryptographic choices, fortifying the safeguarding of sensitive data against emerging security threats.
The development of P-adic numbers theoretically and their use in number theory
Authors: HAO JUNZHE
Published: December 2023

Stemming from the need to formalize the divisibility of rational numbers, p-adics provide a unique mathematical perspective rooted in prime number theory. This article provides a comprehensive discussion of p-adic numbers, including their research background, definition, properties, theory, and extensions. This study first elucidates the historical background and significance of p-adic numbers, emphasizing their key role in number theory and its applications. At the heart of this research is a deep dive into the precise definition of p-radical numbers, revealing their unique, often counterintuitive, distance measure. We look at their fundamental characteristics, demonstrate their illogical characteristics, and discuss how they affect transcendental number theory, Diophantine equations, and algebraic number theory. Furthermore, this article explores the theoretical foundations of p-radical numbers and their extensions, emphasizing their integral role in advanced mathematical structures such as p-radical analysis and p-radical geometry. By covering these aspects, this study aims to highlight the lasting impact of p-adic on modern mathematics, reshape our understanding of divisibility, and advance mathematical inquiry into new and uncharted territory.
The future of aviation in the global warming environment
Authors: Wang Yinghua
Published: December 2023

Today, greenhouse gas emissions caused by human activities have led to rising global temperatures, increasing extreme weather events, and rising sea levels, posing a threat to human society and ecosystems. People are also taking some active measures to mitigate these impacts. Therefore, in order to make a positive response in the aviation industry, this paper studies how to reduce greenhouse gas emissions brought by aircraft engines under the environment of energy conservation and emission reduction, mainly from two aspects of improving large bypass ratio engines and adopting new environmentally friendly fuels. Then the two major aspects, respectively, the origin and advantages and disadvantages of their analysis, for the current needs of the theory and the problems encountered in the actual production, how to solve and apply. After synthesizing the previous studies and reorganizing the previous studies, this paper expounds these two aspects in more detail.
The design of the micro-ECG amplification circuit
Authors: Yu Xiao
Published: December 2023

This essay discusses a potential method of designing a micro-wearable device that can effectively detect human heart conditions and provide real-time feedback. Compared to the traditional method of designing wearable devices, the core innovation in this new approach is the utilization of the DRL circuit for the extraction of common-mode signals. This device can filter out a significant amount of noise due to the low current and low voltage conditions. The low current and low voltage conditions under which this device operates contribute to its remarkable energy efficiency. Consequently, the device boasts a long-lasting battery, reducing the need for frequent recharges, which is often a significant inconvenience associated with wearable technology. In the meantime, the non-invasive nature of the ECG technology integrated into this wearable device ensures that wearers can go about their daily lives comfortably without causing discomfort, making it suitable for continuous heart monitoring without impeding peoples activities or affecting peoples overall comfort.
Optimal paths for UAV multi-express full delivery in 3D modeling
Authors: Chen Lizhuoran , Xu Zhe
Published: December 2023

The use of drones in logistics is steadily becoming more common as drone technology advances. As a result, logistics path planning has become a viable research topic. The majority of previous research has concentrated on low-load vehicle-borne UAVs. DJI recently produced a high payload civilian delivery UAV with a maximum capacity of 30 to 40 kg, paving the path for high payload UAVs and providing the criteria for this research. The goal of this research is to increase the efficiency of UAV delivery while also reducing energy consumption, as well as to investigate the path planning problem for large load UAVs in batches. Prior to choosing the ACO method to determine the best route for a single batch, the genetic algorithm is used to achieve the entire load for express delivery in batches. After this, the whole path is determined and supported. The output of the program is the correlation between the number of iterations and the single optimal route, which is then added to produce the overall path. After showing this, we infer that the sum of single ideal paths is the best total path, which maximizes efficiency and saves energy. The significance of this research is to provide some directions for thinking and help for the research of UAV logistics, and we hope to further develop UAV logistics technology to some extent under the premise of energy saving and time saving.
The discussion of the transmission coefficient of one-dimensional double barrier
Authors: Li Jiajun
Published: December 2023

Quantum theory plays a significant part in the modern physics and makes modern technology rapidly developed. Quantum tunnel effect is one of the most important discoveries. The exact expression of potential barrier is tough to derive, even for the double barrier. Many researchers have analysed the applications of quantum tunnel effect in real electronic devices. However, the exact expression of double barriers transmission coefficient was discussed rarely. In this article, the exact expression of the transmission coefficient will be given and the effect of parameters of barrier such as the width and the height will be discussed. In addition, the difference between symmetric and asymmetric double barrier will be given. This paper has the discussion of the transmission coefficient in order to not only give a clear understanding of the effect of parameters of double barrier to tyro and researchers, but also give a simpler way to consider the periodic barrier.
Enhancement of efficiency in monocrystalline silicon solar cells
Authors: Mao Jinyue
Published: December 2023

As the representative of the first generation of solar cells, crystalline silicon solar cells still dominate the photovoltaic market, including monocrystalline and polycrystalline silicon cells. With the development of silicon materials and cut-silicon wafer technologies, monocrystalline products have become more cost-effective, accelerating the replacement of polycrystalline products. In addition, the conversion efficiency of monocrystalline products increases gradually through high-efficiency cell technologies such as Passivated Emitter and Rear Cell (PERC). This paper will start with the solar cell efficiency and combine cost factor, the P-type PERC cell and additional four types of high-efficiency N-type cell technologies to improve the conversion efficiency for exploration, and will analyze and predict the future solar cell industrialization technologies. The study finally concludes that the N-type Tunnel Oxide Passivated Contact solar cell technology has a large industrial potential and could become a mainstream technology after the perc cell technology. At the same time, Interdigitated back contact cell structure and selective all-passive contact technologies are reliable paths to obtain solar cells with high conversion efficiency, integrated cost, and efficiency, depending on the advantages and compatibility of various cells. It can create conditions for the industrialization of low- cost and high-efficiency monocrystalline silicon solar cells.
Stirling engines: Advancements, applications, and environmental benefits
Authors: Yao Xuyichen
Published: December 2023

The increasing adoption of Stirling engines in contemporary industries is driven by their potential to address critical issues of energy efficiency and emissions reduction. Stirling engines offer higher energy efficiency, lower noise and emissions, and versatility in utilizing various heat sources, making them a promising solution for enhancing environmental preservation and energy diversity. This paper examines the growing adoption of Stirling engines in diverse industries, driven by the urgent need to address energy efficiency and emissions challenges. The paper outlines the core principles and advantages of Stirling engines, highlighting their potential to enhance energy efficiency, preserve the environment, and diversify energy sources. Furthermore, the paper underscores significant industrial and aviation applications of Stirling engines, particularly in vehicle propulsion, heat pumps, and electricity generation. Notably, the automotive Stirling engine excels in fuel efficiency and emissions reduction, offering a viable alternative to traditional internal combustion engines. Stirling engines also prove effective in heat pump systems, contributing to efficient building heating and cooling. In conclusion, despite challenges such as material requirements and heat loss, Stirling engines hold great promise as sustainable and eco-friendly thermal engines. As global concerns regarding energy and the environment intensify, Stirling engines offer a compelling pathway to improved energy efficiency, reduced emissions, and a more diversified energy landscape, driving innovation across sectors.
UAV path optimization algorithm and simulation case analysis
Authors: Hu Junyue
Published: December 2023

Drones are much accounted for, with the advantage of low cost, flexibility, and easy-controlled. As its application fields become more extensive, from human production to scientific research, the requirements for UAV path planning are getting higher. Reasonable path planning minimizes resource consumption and is worthy of continuous exploration. This article lists one algorithm each among heuristic algorithms, graph search algorithms, and traditional algorithms: ant colony optimization (ACO), A* algorithm, and artificial potential field. After a discussion of the process and steps, a simulation of three algorithms and a comparison has been made. ACO focuses more on path planning with disordered points, while the A* algorithm and artificial potential field do well in avoiding obstacles when traveling with a given starting point and destination. More strengths and weaknesses are explained later. Path planning still needs more research to adapt to current needs, such as emergencies, dynamic changes in actual situations, consideration of difficult terrain and climate, and weakness of signal connection.
Positional salaries and performance: A linear regression analysis of investment efficiency in the NBA
Authors: Ma Jingbo
Published: December 2023

In many previous dissertation studies, the relationship between NBA player performance and team wins and losses has been demonstrated. At the same time, many papers discussed the relationship between players performance at different NBL positions, game wins and losses, and their salaries. This will help team managers visualize the players that will better enhance their team based on their salary level through data. There needs to be more literature on this specific task in the NBA. While the prominence of star players often drives a significant portion of a teams payroll, the distribution of salaries across various positions can play a critical role in a teams overall performance. This study delves into the intricate relationship between positional spending and associated on-field metrics. This paper utilized a linear regression model to investigate the correlation between a teams investment in individual positions and the resultant win shares. Preliminary findings suggest that while star players undeniably uplift a teams performance and revenue through various streams, a balanced allocation strategy catering to all positions may yield optimal results. This research aims to offer teams a data-driven perspective to optimize their investment and achieve maximum returns under the constraints of the salary cap, fostering a competitive edge in the league.
Analysis of practical applications using the linear programming model
Authors: Zhang Xinyan
Published: December 2023

A linear programming model is a mathematical optimization technique used to find the best possible outcome in a mathematical model with linear relationships under a set of constraints. This technique has various applications in engineering, management, economic analysis, and military operations. The linear programming model is the most popular technique for determining the best course of action, and it is essential for decision-making and resource allocation in modern society. This research paper will introduce the standard form of the linear programming model and explore the differences and solutions between three linear programming models: 0-1 integer programming, mixed integer programming, and multi-objective programming. In the case of introducing the application and optimization effect of different models in real life, list research and compare the different applications and research scenarios of the three models to derive the strengths, weaknesses, and characteristics of the different models to achieve the effect of providing more targeted models for different real-life cases.
A forward look at the alteration of the weather forecast by artificial intelligence
Authors: Wu Tianyu
Published: December 2023

Most modern weather forecasts are accomplished by atmospheric simulations based on physics models. This method requires a lot of processing time due to the massive amount of computing work. Meanwhile, accuracy faces a limit due to the chaotic nature of the atmosphere. As machine learning gets better and becomes more involved in society, which has been an accelerated trend in recent years, some machine learning-based weather forecast models have been developed. This paper provides a forward-looking study of the potentials of machine learning in terms of theoretical abilities, shown advantages, and possible alterations in the field of weather forecasting based on existing literature and data. Explanations and discussions of two outstanding machine learning-based models, MetNet-2 and Pangu, are provided. Based on the results of tests of these two models, machine learning has good advantages that can be largely applied in the field of weather forecasting and other atmosphere-related work. Machine learning-based methods are likely going to replace physics models in most parts, while physics knowledge is still valuable in this field as it can help with the training of machine learning models and improve performance.
Research on decision and risk analysis for portal frame
Authors: He Mingzhao
Published: December 2023

As lightweight and high-strength structures, steel structures are gradually widely used in various buildings, such as high-rise buildings and industrial plants. After comparing various probability analysis methods, Monte Carlo simulation is chosen to analyze the moment of inertia design value for a non-sway steel frame. This paper mainly introduces the engineering load and reliability design principles of gantry steel frames. By consulting specifications and using relevant calculation formulas and basic parameters, different engineering load effects are discussed and calculated. After completing the load condition calculations, the resistance design value is calculated by using the limit state design principles. Finally, the sectional dimension design is conducted based on Monte Carlo simulation. By means of limit state design and Monte Carlo simulation, the ideal design value for calculating the moment of inertia can be easily calculated. Through these analyses, the superiority of Monte Carlo simulation in analyzing the failure probability of complex buildings is demonstrated. Unlike other methods, it does not need to compute functions of various factors in advance.
Research on fine management in the construction process of construction projects
Authors: Zhu Jiayue
Published: December 2023

Fine management is one of the important methods to ensure the quality of construction, to ensure the safety of construction and to improve the economic benefit of construction enterprises. In the construction process, the construction personnel and the management personnel of the construction enterprise should take the fine management as an important work content. Fine management has strong operability in practice, can effectively improve work efficiency and quality, and ensure the smooth progress of work. This paper mainly expounds the concept of fine management in the construction process at first. Then, the problems existing in the fine management of the current construction process in China are analyzed. Finally, the relevant optimization measures and countermeasures are put forward. The conclusion of the paper is expected to strengthen the fine management level of the construction process in China, so as to provide a certain reference for improving the economic benefits of construction enterprises.
Research on seismic design methods for high-rise building structures
Authors: Li Ranxi
Published: December 2023

In recent years, with the increase of the number of high-rise buildings and the increase of the frequency of earthquakes, the requirement of seismic design of high-rise buildings is getting higher and higher. Therefore, this paper mainly studies the requirements of the existing seismic design code and the basis of designing the seismic performance of high-rise buildings. The results of this paper show that the performance-based seismic design method is the most popular and practical seismic design method at present. It also concluded that the seismic capacity of high-rise buildings can be improved by changing the calculation method of bearing capacity and adopting stable lightweight materials. In addition, this paper also introduces the new seismic methods such as preset yield mode, so as to improve the seismic ability of tall buildings as a whole. In the future, more new and innovative technologies will be applied to the seismic design of high-rise buildings to provide a stable and safe environment for peoples production and life.
Application and analysis of innovative models in construction engineering management
Authors: Song Yunze
Published: December 2023

With the continuous acceleration of China's industrialization process and urbanization construction, traditional engineering management models have gradually exposed various shortcomings and shortcomings, unable to adapt to the development of the new era. Therefore, exploring innovative models in engineering management has become particularly important. This article focuses on analyzing the characteristics and shortcomings of three traditional engineering management models that are widely used worldwide at present, and proposes corresponding analysis methods for them. Firstly, further improve the organizational system from the perspective of management system and establish a modern enterprise system and a responsible person system to fundamentally ensure the practicality of project management. Secondly, based on Building information modeling (BIM) technology, modeling and information collection are carried out for different management stages to achieve transparent and visual management, Further improve construction quality from a technical perspective, ensure construction progress, and improve management level. In summary, this article analyzes the problems of traditional models and analyzes the application of innovative models from two aspects. However, there are still issues that need to be addressed, such as different situations in different regions and insufficient information and data collection, in order to truly achieve the application of innovative models in engineering management.
Exploring the implementation and applications of 7-segment clocks on FPGA
Authors: Zhang Jingyan , Zheng Xiaoyu
Published: December 2023

The core objective of this undertaking revolves around digital circuits and Field-programmable gate arrays (FPGAs), focusing on the design and implementation of a digital clock capable of showcasing real-time hours, minutes, and seconds. To ensure accurate time tracking, the project ingeniously employs a MOD 60 counter, dedicated specifically for counting both minutes and seconds, while a separate MOD 24 counter is harnessed to track hours. These counters serve as the backbone of the clocks accurate time-keeping capability. To translate this raw digital data into an easily interpretable format for users, the project incorporates a seven-segment display, ensuring that the time can be read intuitively at a glance. The entire architecture and logic of the digital clock is artfully crafted using Verilog HDL, a versatile programming language revered for its aptness in hardware description and simulation. To bring the clock to life and rigorously test its functionality, the Quartus platform is utilized. This renowned platform not only facilitates the efficient translation of the Verilog HDL code into tangible digital circuitry but also offers a robust environment for simulation, ensuring the clock operates flawlessly in real-world scenarios.
Tesla stock prediction and analysis based on LSTM model
Authors: Geng Ziyu
Published: December 2023

Now that new energy vehicles are developing well, Teslas stock forecast has research value. This report focuses on predicting and analysing Tesla stock price returns using Long Short-Term Memory (LSTM) models. Deep learning models like LSTM can handle large amounts of data and make predictions about future stock dynamics. In this research, historical stock prices of Tesla Inc. are utilized as input data. The LSTM model is used to train and test the data, and subsequently provides results on its accuracy. For comparison, both Linear Regression and Random Forest models have also been used. The results indicate that the LSTM model has better performance than the other models in predicting short-term stock price movements. The result is evaluated by MSE, MAE and RMSE. However, Stock prices are extremely susceptible to economic, market, and political factors, so the predictions of the LSTM model cannot play an important role in actual investment.
Research of future Uber stocks trend using ARIMA model
Authors: Geng Tianyu
Published: December 2023

The primary focus of this article is on Uber Technologies Inc (Uber) and aims to provide an in-depth forecast of Uber's future stock price. The article introduces Uber company from various dimensions, including Uber's unique business model, leveraging on the sharing economy, enable individuals to use personal vehicles as a means of generating income. This article will be built around the ARIMA model, which is employs this robust model to generate forecasts that offer insights into Uber's stock performance. Before the forecasting process the article will comprehensively describe the data selection process and offer a clear explanation of how the ARIMA model works including the equations. To enhance the effectiveness and reliability of the prediction results, In this article, data visualization is used to present different data representations. The predicted results are presented in the form of graphs and charts, to make a more visual representation of the data and to present and interpret the prediction results effectively.
Bitcoin price forecasting using ARIMA model
Authors: Tian Haolin
Published: December 2023

The Bitcoin price was chosen as the research subject, and the observation period was set from January 2015 to September 2023. An ARIMA time series model was constructed to forecast the trading price. The results indicate that the optimal model for fitting the trading price is ARIMA (3, 2, 8). This model takes into account trends, seasonality, and other factors that may impact the price of Bitcoin. By analyzing the historical data, the model was able to accurately predict the short-term fluctuations in Bitcoins trading price. Based on this, short-term predictions were made for Bitcoins trading price in the next year. Recommendations were then provided by combining the forecast results with the economic development situation in the post-pandemic era. The recommendations suggest that Bitcoin has become a low-quality asset and is no longer suitable for diversifying ones investment portfolio, but rather focus on the development of physical industries and adjust ones investment portfolio in a timely manner.
World unemployment problem and the unemployment rate forecasting with ARIMA model
Authors: Sun Feilu
Published: December 2023

In a rapidly changing global economic landscape, the level of unemployment remains one of the most important indicators of economic health, social stability and political dynamics. Due to the complexity and diversity of the unemployment problem, there are still some shortcomings and controversies in the existing research. Therefore, the aim of this study is to explore and predict unemployment in depth. This study mainly explores the history, current situation and influencing factors of unemployment statistics in depth, so as to make corresponding predictions and analyses. The research methods include literature review and R for relevant statistics and prediction. According to the forecast results, the world unemployment problem is still relatively serious, and the unemployment rate of the world population will remain relatively high in the coming years. However, due to the existence of various force majeure factors, the future unemployment rate may still show a relatively large increase or decline. This study demonstrated the applicability of the ARIMA model in predicting the values of this variable. These models do a good job of capturing patterns and trends, and the predicted values are reliable. At the same time, this study breaks through the traditional thinking, explores the causes of unemployment from multiple angles and analyzes the future social situation, which also has certain implications for further exploring the unemployment problem.
Analysis on smart seats intelligently correcting users' sitting posture
Authors: Li Yalun
Published: December 2023

In contemporary times, an increasing number of individuals are encountering health-related issues stemming from extended periods of sitting, primarily attributable to improper sitting posture. Hence, the introduction of an intelligent seating solution into the market is imperative and holds significant potential for commercial success. Concerns regarding the health of children, namely their spinal development, as well as the need for sedentary workers to maintain a healthy sitting posture, have become significant issues for consumers. Currently, there are certain items in the market, such as backrests, which aim to partially correct sitting posture. However, these products have limitations in terms of requiring attachment or wearing, as well as lacking sufficient data support. Consequently, the user experience and scalability of these products are considerably inadequate. Based on the analysis of consumer big data by China Business News data (CBNData), there has been a notable surge in the markets appetite for premium corrective goods in recent years. There exists a market demand for products that are closely associated, specifically smart seats. Currently, researchers have conducted investigations on the recognition and reminder systems pertaining to sitting posture. This paper aims to conduct a comprehensive analysis and evaluation of the fundamental prerequisites and advancements in intelligent seating systems by employing literature analysis and review methods.
Impact factors and effective control of machining accuracy in mechanical manufacturing
Authors: Liu Bailin
Published: December 2023

Mechanical processing occupies a very important position in Chinas industrial production, and it has realized the rapid development and growth of Chinas national economy. However, the accuracy of loader machining in China is still in the awkward situation of stopping. Therefore, engineers should continue to explore various factors affecting loader machining in order to improve the quality of workpieces in practice to provide a strong guarantee for the mechanical processing of Chinas loader machining. There are many factors affecting the machining accuracy of the loader, among which the main factors are three aspects: geometric accuracy of the process system, force deformation of the process system, and thermal deformation of the process system. The reasons for these three errors are not the same, but they all affect the quality of the loader parts to a certain extent. In this article, the author will explain the influencing factors and measures of machining accuracy one by one.
Mixed nash equilibrium and its application in two-player zero-Sum games
Authors: Wu Hongjian
Published: December 2023

The Colonel Blotto game represents a classic case in game theory, embodying the essence of two-player zero-sum games. A vital game theory theorem has demonstrated a mixed Nash equilibrium in all zero-sum games. In this paper, the author will start with this classic game to expound the principles of mixed Nash equilibrium. Furthermore, the paper will explore the practical applications of mixed Nash equilibrium in the context of two-player zero-sum games, illustrating its significance in addressing real-world issues and decision-making. By delving into the Colonel Blotto game and its associated theories, the paper will reveal the importance and broad applicability of mixed Nash equilibrium, showcasing its role in various real-world applications, including competitive strategies, resource allocation, risk management, and more. This research will assist readers in gaining a better understanding of the concept of mixed Nash equilibrium and how to apply it to the resolution of practical problems.
Research on changes in housing price and exploration of its influencing factors
Authors: Yao Shiyu , Feng Jingru
Published: December 2023

With economic development, peoples living standards have been gradually rising. As a necessity of life, the price of housing has been fluctuating throughout the years. By showing that, this paper aims to study the relationship between house prices and external factors such as income. Meanwhile, this paper have simply discussed their impact on micro-macroeconomics as well. In addition, this summary addresses the relationship between house prices and various economic indicators and the need for sustainable valuation methods to support informed decision-making in the housing sector. Time series and linear regression have always been the most suitable observational tools to find out the relationship between two variants. Thus, the author has actively used them in the research. Through this study, it is easy to find that house prices are strongly correlated with incomes even when the data are not so complete. With the inseparable correlation between incomes and house prices, both of them will affect economic development and their stability is significant for financial well-being. In conclusion, it is essential for people to indicate the possible risks and development of house pricing.
The research of prediction of future violent crime rate
Authors: Yang Man Hin
Published: December 2023

Crime is a destabilizing factor in our society. However, if the government could understand how the violent crime rate would change, they could enact proper policy to cope with it. In this case, this research will predict the future violent crime rate based on the data from 1991 to 2020 since 1991 is an important turning point of American crime rate. With R-Studio, this research analyzes the effectiveness of the average method, nave method, drift method, linear model, and autoregressive moving average model (Arima model) in the prediction and selects the best one with the smallest residuals and negligible autocorrelation. Based on the analysis, the Arima (0, 2, 0), which is one type of Arima model, does the greatest job in the prediction. According to the model this research eventually uses, the violent crime rate will start to increase from 2021 to 2025, showing that the violent crime condition may get worse. As a result, the government should pay more attention to violent crime to maintain the social security.
Predicting Apples future stock price using ARIMA model
Authors: Liu Xilin
Published: December 2023

Recent explorations in the financial forecasting realm have increasingly leaned on technological and data-analytic tools to predict stock market trends. Nonetheless, traditional metrics and the intertwined global economic dynamics continue to be pertinent in understanding market behaviors. This study utilizes the ARIMA analytical framework to analyze data from the updated 2022 Stock Market Trend Database, which covers trend patterns of various enterprises including Apple Inc. The analysis reveals that basic financial metrics and certain technological indicators hold minimal sway over stock market oscillations. However, a notable linkage is observed with sentiment analysis derived from social platforms like Twitter and StockTwits, alongside the challenges posed by high-frequency and algorithmic trading. Intriguingly, emergent indicators such as algorithm-driven sentiment analysis and tech-based markers, hitherto unexplored in scholarly circles, surface as potential predictive tools. These findings not only bolster the existing comprehension but also unfold new pathways for subsequent investigations in the realm of financial forecasting, highlighting the potential for a more nuanced understanding of market dynamics through a blend of traditional and modern analytical lenses.
Embarking on the path to quantum field theory
Authors: Wu Kunlong
Published: December 2023

The harmonic oscillator represents as a unique tool in modern physics since it is not only exactly solvable but also relates many phenomena. This paper introduces the relation between Quantum Field Theory and other physical theories and discusses how harmonic oscillator behave in Quantum Mechanics and Quantum Field Theory by the quantization of Klein-Gordon Field. To this end, this paper applies energy-momentum equation given by special relativity to Schrdingers Equation to get the Klein-Gordon Field, and then uses canonical method to quantize the field, which is called the second quantization of the field. The comparison is made between the result quantized field, the quantum harmonic oscillator and classical harmonic oscillator. The similarity of two physical systems is demonstrate by the comparison between commutation relations of operators. The similar commutation relations then help people to interpret quantized Klein-Gordon Field as a system that contain a quantized harmonic oscillator in each space coordinate.
Current study on active flow control and passive flow control
Authors: Yin Yiming
Published: December 2023

Flow control is a very important research direction in the field of fluid dynamics and one of the important research difficulties in the field of aerospace in the 21st century. This study aims to explore the principles and applications of active flow control and passive flow control, and analyze their practical applications in different fields. By conducting a literature review, this study collected and organized relevant literature and papers related to active flow control and passive flow control, and conducted a comprehensive summary and comparison. The research results indicate that both active flow control and passive flow control are of great significance and can improve efficiency or cost-effectiveness through different methods. The development process of active flow control has undergone evolution, and its basic principle is introduced by classifying different methods and technologies, such as bio-inspired mechanics regulation and jet lag, and illustrating their application principles with examples. Passive control methods require additional mechanical structures, such as ribbing, grooving, etc., in the boundary layer. The active control method requires energy input, and the flow control is achieved by controlling the energy input. By understanding and researching the technologies and methods of active flow control and passive flow control, it can provide reference and reference for researchers and engineers in related fields, and promote the development and application of flow control technology.