bluuebunny/crossref_metadata_2025 huggingface dataset:
The commonly used methods for ECG Power-line interference removal
Authors: Li Xiao
Published: September 2023

The amplitude of electrocardiogram (ECG) signals is on the millivolt level, and is susceptible to interference from human respiration, muscle tremors, and device circuits during the acquisition process, resulting in baseline drift, electromyographic (EMG) interference, and power line interference. Power line interference is a significant noise source in physiological signal acquisition among these. This article explores several methods to reduce the impact of power frequency interference. By analyzing wavelet transforms, adaptive filtering, and smoothing filters, commonly used methods are evaluated to determine their advantages and limitations. Experimental results show that the smoothed filtering method produces the highest SNR and lowest MSE of the electrocardiogram signal after denoising, resulting in the best denoising effect and thorough filtering. The denoising effect of wavelet transform and adaptive filter is poor. But the different methods for power line interference elimination should be applied according to the data acquisition requirements and equipment performance in response to different situations.
Analysis of energy control system in wind farm
Authors: Wei Shijie
Published: September 2023

This article first introduces the structure and principle of two mainstream wind turbine models, analyses the different power generation principles and energy transfer structures of these two different wind turbines, and briefly introduces the network topology structure of wind power stations, as well as the direction of command data from the control end to the controlled end. Then, it introduces and analyses several widely used maximum power point tracking (MPPT) control algorithms and frequency control methods, summarizes and predicts these algorithms for single wind turbines, and lays the foundation for future research. Large-scale wind power and other new energy grid connection is one of the most effective solutions to address the world energy crisis. With continuous development of technology, more and more power electronic control components are being closely integrated with traditional power systems, and we are facing problems different from those in the past. We must change our thinking and work hard to address these issues.
Design of CMOS circuits through transistor sizing techniques
Authors: He Xinyu
Published: September 2023

With the increasingly diverse functional requirements of contemporary electronic products, the complexity of CMOS circuits often used in chips becomes higher and the number of transistors used increases. To solve the resulting performance problems of CMOS circuits, researchers have searched for many transistor sizing technologies. This paper summarizes three methods of CMOS circuit optimization. The paper introduces these three methods in terms of principle, effect, and application scenarios, and compares them respectively. Through analysis and simulation, it can be found that the use of these methods in circuit design can effectively achieve the purpose of improving speed, reducing power consumption, and improving the overall performance of the circuit. This lays a solid foundation for finally being able to present a good product with excellent performance and enhance the market competitiveness of the product. CMOS circuits are widely used, and circuit optimization is of great importance to the overall circuit design, and better optimization methods can even promote the development of the entire electronics and chip manufacturing fields.
4-bit absolute value detection for digital signal processing applications
Authors: Sha Beiyao
Published: September 2023

In recent years, as the rapid advancement of the electronic industry and the higher requirements for instruments and circuits, the absolute value circuit has found an increasingly wide utilization in digital signal processing. An absolute value detector is one of the most widely used algorithms used for detecting spikes. Based on traditional designs of absolute value circuits, many optimized designs with better performance have been proposed. Based on previous analysis and research, absolute value circuits can be optimized into different sructures to meet different application requirements. This paper introduces three different absolute value circuits for different uses in digital signal processing by comparing the optimized parts to traditional absolute value circuits and introducing how the optimization can meet the needs of different applications. These optimized absolute value circuit meet the requirements of higher precision and more stable temperature in biological signal processing field, more convenient to apply in the analog-to-digital conversion in ADC field and minimization the latency energy in chip signal processing field. Absolute value circuits can be optimized in different ways to be applied in more fields in the future.
Application of SLAM in endoscopic imaging
Authors: Xi Yuxuan
Published: September 2023

This paper presents the utilization of Simultaneous Localization and Mapping (SLAM) technology in medical endoscopic imaging. The fundamental components, hardware configuration, and process of SLAM are introduced in detail, with a focus on sensor acquisition, data preprocessing, feature extraction and matching, state estimation and update, map construction, and optimization modules. The application of SLAM in the medical field is then discussed, specifically highlighting real-time localization and reconstruction of endoscopic imaging. The integration of SLAM technology can assist doctors in accurately identifying the site of lesions, thereby enhancing surgical precision and safety. Furthermore, the paper introduces various commonly used SLAM algorithms, including the Kalman filter, extended Kalman filter, particle filter, optimization algorithms, among others. It emphasizes the significance of algorithm selection and optimization tailored to different scenarios and requirements. In conclusion, the application of SLAM technology in medical endoscopy imaging holds immense potential, offering improved accuracy and visualization during surgical procedures. This technology provides valuable support for doctors in diagnosis and treatment, ultimately enhancing patient outcomes.
The application of extended kalman filtering based on SLAM
Authors: Cai Xuwen
Published: September 2023

EKF (Extended Kalman Filter) is a non-linear state estimation algorithm based on the development of Kalman filtering technology. In SLAM (Simultaneous Localization and Mapping), EKF technology is widely used to realize robots' independent positioning and map construction. EKF technology mainly estimates the state of the robot by using the information provided by the sensor, and then realizes the robot's self-positioning and the environment's map. This paper uses EKF algorithm for testing, and analyses the simulation results, which compared with Kalman filtering technology, the main difference between the two is that EKF can handle non -linear dynamic systems. In SLAM, robots often detect environmental detection through sensors such as laser radar, camera, and then update the position and posture of the robot by the receiving sensor data. In this process, the EKF technology can perform non -linearity by sensor data by sensor data Transformation makes the state of the robot more accurately estimate. Specifically, Extended Kalman Filtering technology can be divided into two steps: prediction and update. In the predicted phase, EKF uses the current robotic status and motion equation to predict the robot status of the next moment; in the update stage, EKF uses sensors to measure data to update the current state of the robot. By repeating the prediction and updating two steps, you can get the trajectory of the robot movement and the map of the environment where the robot is located.
Research on endoscopic surgery based on SLAM
Authors: Zhang Zheng
Published: September 2023

The Simultaneous Localization and Mapping (SLAM) method is widely used in the positioning and mapping of robots. In the medical field, SLAM is used in auxiliary medical robots and surgical robots. In endoscopic surgery, SLAM performs endoscopic positioning and scene graph construction for the surgical environment based on the information collected by the endoscope. For research on endoscopic SLAM, this article will first introduce the application of SLAM in endoscopic surgery in recent years. This paper summarizes the innovations and future work of relevant literature in recent years and identifies existing problems in SLAM in endoscopic surgery. Next, this article will introduce the combination of deep learning and SLAM in endoscopic surgery and list some specific applications. Finally, this paper will give a prospect for the future application of SLAM in endoscopic surgery. The research in this paper will be of great value to applying SLAM in endoscopic surgery and conducive to the development of future endoscopic SLAM.
Channel modeling for V2V communication: Enhancing road safety and intelligent transportatio
Authors: Jin Zhengyu
Published: September 2023

The advancement of the Internet of Things (IoT) and Vehicle-to-Vehicle (V2V) communication networks has led to increased research efforts toward developing efficient and innovative V2V communication systems. These systems are designed to achieve the goal of improving road safety and enabling intelligent transportation. A critical aspect of this effort is channel modeling. In this context, this paper summarizes the characteristics of V2V communication channels. It categorizes them into three main types: Deterministic models, Non-geometry stochastic models (NGSMs), and Geometry-based stochastic models (GBSMs). It then reviews recent literature on these three types of channel modeling methods and discusses future development directions and challenges for V2V channel modeling. The study highlights the importance of accurate channel modeling for successful V2V communication systems and emphasizes the need to consider the unique features of V2V channels. It also identifies the limitations of existing channel models and suggests areas of research that can lead to more reliable and efficient V2V communication systems.
Systematic computational methods of unsteady flow simulation based on computational fluid dynamics
Authors: Liu Yitao
Published: September 2023

Unsteady flow is the dominant flow state in real life; thus, the simulation of it is of vital importance, especially in engineering, for example, the flutter or buffeting of the aerofoil. In the past decades, the progress in computational science greatly paced the development of computational fluid dynamics (CFD), providing powerful tools for simulating unsteady flow via numerical methods. However, the unsteady flow state depends on more variables than a steady flow, including the external conditions in different time moments and the flow's properties that vary with time. The calculation is still too massive, even using CFD. Therefore, CFD algorithms with higher efficiency and less reduction in accuracy are still needed to optimize the technique. This paper reviews the main CFD computational methods that have been maturely developed and proven effective, including direct numerical simulation (DNS), classic turbulence models and reduced order model (ROM), illustrating the main mechanisms and displaying their features. The paper also sheds light on these methods' latest research progress.
The study of the effect of fluid field above an airfoil under 2D small disturbance equation method
Authors: Li Weijie
Published: September 2023

This review article presents a simulation based on Python for studying fluid flow over a small disturbance (airfoil) in subsonic and supersonic conditions. The simulation revolves around the small disturbance equation method, focusing on comparative analysis under supersonic conditions. Two schemes are applied in different conditions: the central difference scheme for subsonic flows and the upwind scheme for supersonic flows. Successive-over relaxation method is also utilized for converging iterative processes. The study focuses on one influence factor in aerodynamics, the Mach number, and investigates its impact on the shark angle of an airfoil. The simulation results demonstrate that the Mach number is inversely proportional to the shark angle of an airfoil, meaning that higher Mach numbers lead to smaller shark angles of the airfoil. Therefore, the Mach number can be considered a critical parameter in designing aerodynamic applications. This finding is consistent with prior research, indicating that the designed method is reliable.
A review of metal-to-plastic joinery in automotive manufacturing
Authors: Fu Jiajian , Lu Jiahao , Liu Qi , Hu Jiahao
Published: September 2023

Reducing weight and improving energy efficiency are key design goals in the automotive industryIn order to reduce the weight of the car body, engineers often use plastics in the parts of the car that require less strength. However, due to the difference in material properties, when using plastics to connect steel frames, there are disadvantages such as small interface area, large number of interfaces, and poor reliability of plastics, which may have a great impact on the safety of the car. Therefore, these plastic parts Joinery to the steel frame of the car needs careful consideration. Various methods, such as welding, bolt and nut connection, riveting, and crimping, were considered to connect plastic and metal in automobiles. This article first introduces the specific implementation of the joinery method between plastic and metal, and investigates their process difficulty, interface strength, vibration resistance and the least negligible cost. Discusses where these processes are suitable for use in the car, where they are currently used, and explores potential future developments.
The algorithm based on network routing on chip
Authors: Feng Chenyang
Published: September 2023

Network-on-Chip (NoC) is a novel communication architecture specifically designed for multi-core System-on-Chip (SoC) integration. Unlike traditional shared bus communication architectures, NoCs offer a promising solution to address issues related to latency, communication performance bottlenecks, and design efficiency. The effectiveness of NoC architecture depends on various factors such as the routing algorithm, switching methods, and network topology. This study focuses on analyzing and summarizing the routing algorithms employed in NoCs. It explores different routing approaches, including independent routing, adaptive routing, and combined independent and adaptive routing. Furthermore, evaluations are conducted to assess the performance of these algorithms concerning congestion awareness, fault tolerance, deadlock prevention, and lock-free operation. By investigating and evaluating various routing strategies, this research aims to enhance our understanding of the intricacies involved in designing efficient NoC architectures. Ultimately, the findings of this study contribute to the advancement of communication protocols in multi-core SoC systems, paving the way for improved performance and scalability in future chip designs.
Development and application analysis of the quadrotor UAVs attitude control
Authors: Diao Shuaiwen
Published: September 2023

Due to the economy's tremendous growth and the technology's impressive advancement, the practicality of UAVs has become a hot topic of concern for all sectors of society at present. According to the classification of flight platform configuration, drones may be split into many different types. Quadrotor drones are a common type of aerial robot, which is widely used in civilian and military fields at this stage. The safety and stability of the UAV in use are particularly important, so its flight attitude must be humanly tuned and controlled. This paper mainly analyzes the attitude control technology of quadrotor UAVs. Firstly, the key components and technical difficulties of attitude control are analyzed. Then some common control methods and application scenarios of current mainstream control methods are introduced and analyzed in detail. Finally, future research directions are analyzed and summarized based on the existing methods.
Feasibility study and development analysis of fully actuated multi-rotor UAVs
Authors: Hu Zhong
Published: September 2023

Fully actuated multi-rotor UAVs have gone through development in the last decades. This article collects studies on different UAV modelling design and feedback control to prove the feasibility of its full actuation. First, the structure design and model construction of fully actuated multi-rotor UAV are discussed and analyzed. Then, the types of fully actuated multi-rotor are classified and analyzed in combination with relevant papers in recent years. Then, the feedback control method is analyzed on the basis of mathematical modeling. Finally, he feasibility of design and control of fully driven UAV has been confirmed, and the future development trend is expected.
Analysis of an improved three-phase voltage source converter with high-performance operation under unbalanced conditions
Authors: Dai Chengao , Yue Shengkai
Published: September 2023

The power system is rapidly transforming into a new large-scale distributed power generation model using renewable energy. Grid-connected converters, particularly voltage control compensators like STATCOM, will be crucial to the functioning of this new situation. Voltage source converter (VSC) is one of the most commonly used topologies in grid connection converters. As a distributed power-generating device, VSCs can be utilized as a means of connecting sustainable energy sources to the power grid. The three-phase voltage source currents or voltage ripples may appear in the DC chain. This study examines the enhanced three-phase VSC, pinpoints the factors that contribute to the great performance of VSCs, and looks at future trends in three-phase VSCs. VSC is a power electronic device capable of converting DC voltages to three-phase AC voltages and is commonly used in areas such as grid connection, reactive power compensation and harmonic suppression. In practical applications, various types of grid or load disturbances pose hidden dangers to the normal operation of the VSC. Due to the presence of unbalanced grids and loads, significant double frequency.
The application of 3D printing in helping the disabled
Authors: Qiu Xin
Published: September 2023

3D printing technology has a wide range of applications in the medical field, one of which is for bone reconstruction and repair. Through 3D printing technology, artificial bone tissue or implants of various shapes, sizes, and materials can be produced. These implants can be used to replace damaged natural bones, resulting in relatively significant effects on bones. First of all, 3D printing technology can be personalized designed and manufactured according to the specific situation of the patient, enabling the repaired implant to better adapt to the physical characteristics of the patient, achieving better improvement and treatment effects. In addition, 3D printing can generate implants with internal irregular structures (such as grid shaped, honeycomb shaped, etc.) that can promote the attachment of biomaterials and the growth of bone cells, accelerating bone healing. Secondly, 3D printing technology can enable doctors and patients to better understand the shape and structure of implants, thereby improving communication and collaboration, and improving the accuracy of surgical treatment. Similarly, 3D printing technology can also generate virtual simulation models through which doctors can conduct surgical planning and demonstration, reducing the risk and difficulty of surgery. Finally, because 3D printing technology can use a variety of different materials, it is possible to manufacture various implants, including metals, plastics, ceramics, and so on. These materials have their own characteristics and can play an important role in bone repair and reconstruction. For example, metal implants can provide better mechanical support and structural stability, while ceramic implants have better biocompatibility and corrosion resistance.
Design and correlation analysis of quasi-zero stiffness passive vibration isolation air spring
Authors: Wu Jiayue
Published: September 2023

Vibration isolation systems are widely used in high-end automobile manufacturing, precision instrument processing, building and bridge seismic resistance, ship machinery noise reduction and other engineering fields, with good development prospects. At present, the existing vibration isolation systems on the market are mainly divided into active and passive vibration isolation systems. Passive vibration isolation does not require external energy input. Its structure is simple and the control scheme is easy to implement. However, passive vibration isolation performs well in high frequency vibration but not in low frequency. As a new nonlinear low-frequency vibration isolation technology, the quasi-zero stiffness vibration isolation system has changed the traditional concept of linear system vibration isolation. In addition, compared with traditional spring, air spring as a new type of elastic vibration isolation mechanism has many excellent performances, such as high fatigue resistance and high stiffness. Therefore, this paper uses air spring to design a passive vibration isolation quasi-zero stiffness air spring structure with good vibration isolation effect, simple structure and low cost in both low-frequency and high-frequency vibration.
Mechanical property analysis and rationality study of new offshore floating wind power photovoltaic structure
Authors: Zhang Haobo , Su Chenrui
Published: September 2023

Nowadays, the problem of energy deficiency is getting more and more serious. The search for clean and sustainable energy is of great importance. The research topic of this article is the construction of an offshore floating structure which combines the offshore wind power and photovoltaic power. Firstly, the main platform structure is researched. Secondly, the calculation of stability, wind load and wave load are conducted to examine the safety of the structure. Finally, the cost is estimated. The calculation results indicate that that the platform has a splendid stability, and it can adapt the sea wave and wind environment. The cost of the platform is also reasonable. This research can be used as an example for development and utilization of offshore energy.
Research on the virtual coupling scenario of the CBTC system based on vehicle-to-vehicle communication
Authors: Dou Wenze
Published: September 2023

In order to simplify trackside equipment and realize shorter travel intervals, this paper proposes a virtual coupling CBTC system. The system structure, key technology, and train function module of the virtual coupling CBTC system scheme are analyzed. This paper also analyzes the system operation in the normal and fault operation scenarios and gives suggestions on the safety measures taken in the fault scenario, which provides reference for the engineering application of the system. It is found that the virtual coupling operation based on vehicle-to-vehicle communication can effectively reduce the operation cost and improve the operation efficiency.
The development status and analysis of motion control algorithms applied to UAVs
Authors: Qin Haoyuan
Published: September 2023

Due to the high mobility and longer durability, UAVs are widely used in military and various civilian fields. The control system of the UAVs is a key part of ensuring that the UAVs fulfil various instructions and complete the tasks. In response to the above issues, this paper summarizes and analyses the current status of motion control algorithms for unmanned aerial vehicles based on existing data. Firstly, the mainstream control technology of UAVs is divided into linear control technology, nonlinear control technology and machine learning-based control technology, and they are discussed separately. Subsequently, the performance of three technologies is evaluated and compared, and the advantages, disadvantages and the applicable environment of each controller are introduced. Finally, the future development direction of UAVs controller is analysed and prospected.
Traffic flow prediction based on T-GCN in extreme weather: A case study of Beijing
Authors: Wu Xiaotao , Ying Zhuoheng , Zhang Haoyue
Published: September 2023

In recent years, frequent extreme weather events have significantly impacted traffic management and urban planning. Consequently, accurate and real-time traffic prediction has become crucial for effective urban traffic planning, management, and control. This study aims to predict road traffic flow in Beijing under extreme weather conditions. To achieve this goal, the study analyses historical weather data of Beijing and identifies four typical extreme weather conditions. Using traffic data collected between 2014 and 2016, the study then employs the time series graph convolutional network (T-GCN) model to predict traffic flow under extreme weather conditions.
Short-term passenger flow prediction based on deep learning
Authors: Guo Zining , Xu Jingchu
Published: September 2023

With the continuous improvement of urbanization, the problem of urban congestion has become increasingly prominent. Rail transit can greatly alleviate the congestion of ground traffic and is considered as a feasible solution to alleviate urban congestion. However, there are many factors affecting rail transit, among which the number of passengers accounts for the majority. Excessive passenger flow will sharply increase the probability of public safety events in confined space. The continuous development of deep learning has benefited from studies such as convolutional neural networks (CNN), so as to correctly predict short-term traffic. Despite continual model accuracy improvement, prior research has given little regard to the application boundaries of diverse networks in traffic prediction. In this paper, by comparing the results of previous studies, the prediction effect and deficiency of long short-term memory (LSTM), CNN, graph convolutional network (GCN) are discussed. And results reveal that prediction models relying on recurrent neural networks (RNN), such as LSTM, can capture the time dimension of short-term passengers very well, but not the spatial patterns, and model training time is lengthy. The GCN model would account for the spatial dependence of the traffic network, but it has poor performance when constructing the deep network. In general, each of these three models has its own unique aspects. Due to some problems in a single model, the multi-model combination deep learning framework is gradually emerging. In practical application, the complexity of the model, performance effect and application value should be considered comprehensively.
Research on relevant contents of carrier design based on unmanned aerial vehicle
Authors: Sun Ruiling
Published: September 2023

With the increasing popularity of online shopping, e-commerce has become a time-saving and labour-saving way to shop for people. Consequently, the express industry has emerged as an indispensable part of the supply chain. However, due to the shortage of human resources, express delivery services often face the challenge of overstocked delivery stations, leading to decreased efficiency in the traditional delivery mode. To address this problem, the development of a drone delivery mode that can cooperate with unmanned vehicles has been proposed. In the context of express delivery, key technologies that need to be resolved are elaborated, including UAV material structure, sensors, visual positioning and navigation technology, and path planning. By addressing these issues, this study aims to provide insights into the research and development of unmanned distribution and logistics industries. Furthermore, this study highlights existing problems and proposes solutions for the combined distribution of unmanned aerial and unmanned ground vehicles. The combination of these two modes of delivery presents both opportunities and challenges, which this study aims to identify and address. Ultimately, the findings and recommendations presented in this study contribute to the efficient and effective operation of the express delivery industry in the era of e-commerce.
Analysis of the types of aircraft icing and the solutions
Authors: Ruan Qikang
Published: September 2023

Aircraft ice accumulation has a negative impact on flight safety, the smooth flow field on the aircraft surface, flight drag, flight control accuracy, and lift. It interferes with the smooth flow field of the aircraft's surface, increases flight drag, lessens the accuracy of the flight controls, diminishes the lift of the aircraft, and affects the stability and operation of the aircraft. The primary scientific challenge is to catalog the several forms of icing that exist, along with their sources and aerodynamic configuration-related impacts. This paper primarily examines the most efficient de-icing techniques in light of various ice kinds. The paper is divided into two parts: the classification of each anti-icing technique and the comparative analysis that follows. The most practical anti-icing techniques are now available, it is determined. This paper can greatly reduce the anti-icing resources and design space required by the aircraft in winter.
The sustainable and coordinate progress of construction and environmental protection
Authors: He Kerui
Published: September 2023

It is the common goal of all mankind to advocate green environmental protection, control environmental pollution, reduce energy consumption and achieve sustainable development. At present, although our country pays a certain degree of attention to environmental protection, and the enterprises and constructions that produce a lot of pollution have been treated, in the long run, the form of environmental protection is still severe and unforgivable. Finding a balance between the contradictions of the project side and the owner side, the successful completion of the construction while reducing the environmental impact, and the protection of the environment in the urbanization process always come before the construction. Improving the content of each stage of building construction under the premise of environmental protection is the ultimate balance for the two. Environmental problems that arise should be actively resolved and summarized to form an institutionalized and standardized management system. This study aims to conduct an in-depth discussion and analysis of both architecture and the environment. This will lay the foundation for the infiltration of the concept of environmental protection during construction in the future and will promote the sustainable development of the construction industry at a lower environmental cost in the future.
Ancient character recognition with deep learning techniques
Authors: Wang Zhenbang
Published: September 2023

Many deep learning models have achieved remarkable results in many areas, such as image classification and image generation. At the same time, with the increasing attention given to the digitization of ancient manuscripts, ancient character recognition has become one of the most fascinating research areas. In this article, we try some CNNs such as ResNet, VGG, AlexNet or simply CNN on the dataset named Oracle-MNIST, an open ancient character dataset. In addition, to improve the accuracy of the models, ensemble learning is also adopted. Compared with the accuracy, the number of model parameters and running time, it was found that one simple CNN model trained as a snapshot performed best, and the recognition accuracy rate reached 97.009%.
Analysis of the advantages and disadvantages of BIPV technology
Authors: Bai Xiaodan
Published: September 2023

As environmental problems such as the greenhouse effect and glacier melting become more and more serious, the society's awareness of environmental protection is becoming stronger and stronger, which makes the development of green buildings extremely important, and the development of many green building materials and environmental protection technologies is also increasing. more attention. In this article, BIPV (Building Integrated Photovoltaic) will be researched and its development discussed. BIPV is to reduce energy consumption through the effective use of solar energy. It is green, environmentally friendly and non-polluting. However, China started late in photovoltaics and lack of research in this area, which makes the application of BIPV technology in China still have high costs and lack of relevant building specification standards. This paper discusses the suggestions for the future development of BIPV technology, hoping to provide meager strength for the development of green buildings in China and provide direction for the future development of BIPV.
Causes and recommendations for post-disaster reconstruction earthquake in Turkey
Authors: Zhang Yihe
Published: September 2023

Earthquake, also known as ground motion and ground vibration, is a natural phenomenon caused by the rapid release of energy from the earth's crust, during which seismic waves are generated. The current level of science and technology cannot predict the arrival of earthquakes, and earthquakes will be unpredictable for a long time in the future. The so-called examples of successful earthquake prediction are basically coincidences. For earthquakes, what we should do is to improve the seismic level of buildings and do a good job of defence, rather than predicting earthquakes. Turkey experienced a strong earthquake in 2023, causing a large number of buildings to collapse and casualties. One of the main reasons why the earthquake was so severe was that Turkey was located in an earthquake zone between the Eurasian continents, and the collision of plates caused the earthquake. Second, Turkey's rudimentary building structures and misuse of raw materials increased the damage caused by the disaster. For the damage of this disaster, it is necessary to establish a relatively complete earthquake relief system, including the improvement of the strength of earthquake-resistant buildings and the rescue and rescue work after the disaster.
The interaction between cross-sea bridge and the environment
Authors: Du Yiji
Published: September 2023

One special type of bridge is a cross-sea bridge. When evaluating the installation of a cross-sea bridge, various problems need to be taken under the profile page. This study investigates the stability risk of a cross-sea bridge, which may be influenced by flowing water throughout construction, and investigates the effect of either the cross-sea bridge on the environment during construction, using the Donghai Bridge as an example.Studies have shown that, due to the inevitable damage to the environment during the construction process, the number of organisms in the sea area near the bridge will decrease at the initial stage of construction but will slowly recover over time. The significance of this study is to explore how to reduce the instability risk of the cross-sea bridge during the construction period and minimize the impact of the bridge construction on the sea environment, at the same time, through analysis, explore reasonable solution measures.
Molecular dynamics simulations of the melting process of Pb nanofilms
Authors: Liu Botao
Published: September 2023

Metallic nanofilms have attracted plenty of research interests because of their important applications in integrated circuits and thermoelectric conversion technology. However, there has not been much research discussing the thermodynamic properties of nanometal films with thickness less than 5 nanometers. To fill this research gap, this article investigates the melting behavior of Pb nanofilms through molecular dynamic simulations. The results show that most nanofilms experience a turning point in their potential energy during melting, followed by a sharp decrease due to the collapse of their previous two-dimensional structure. The melting temperature of nanofilms is found to decrease with decreasing thickness, following the trend predicted by the Safaei model, except for nanofilms with 1-3 atomic layers, which exhibit an abnormally high melting point. It is suggested that this anomaly is due to the reconstruction of nanofilms into a more stable structure, possibly the {111} plane. This study can inspire research on the thermal stability and structural evolution of nanometal films and aid in their future design and preparation.
Research and analysis on key issues of 3D printing human bones
Authors: Zhang Xiangyu
Published: September 2023

Bone repair surgery is a highly challenging surgical procedure, requiring not only the technical skills of experienced surgeons, but also the suitability of bone materials for individual patients. Additionally, the patient's recovery process plays an important role in the success of the surgery. To address these challenges, various types of 3D printing technologies have been developed, with a focus on material selection and structural analysis. In this study, the authors analyse and summarize different materials and printing structures used in 3D printed bones, as well as the application of this technology in clinical medicine. They also identify key challenges that need to be addressed and provide a vision for the future development and prospects of 3D printed bone technology. With further advancements and refinements in 3D printing technology, we can expect this technique to play an increasingly important role in bone repair surgeries, ultimately leading to better patient outcomes and quality of life.
Analysis of the principle of mechanical transmissions and their advantages and disadvantages
Authors: Ji Zijin
Published: September 2023

As the proportion of cars in our lives gradually increases, the proportion of cars in the market also gradually increases. How to make it an efficient transportation is the problem we need to consider as well as solve. In order to study the improvement direction of the three transmissions (MT, AT, CVT) which are more common in the market, this paper uses the internet to collect and integrate the information, from the structure and principles of the transmission as the research direction, to analyze the advantages and disadvantages of the transmission so as to find out the areas that can be improved. It was found that MT gearboxes offer a higher degree of freedom than AT gearboxes, but the more complex driving conditions in the city can lead to frequent gear changes in MT gearboxes, thus affecting the driver's attention to a certain extent.
Multi-objective optimization of diversion tunnel under the water conservancy project
Authors: Yan Junjin
Published: September 2023

Tunnel diversion is a method of diverting upstream water through a diversion tunnel where the river valley is narrow and not conducive to the placement of an open channel, and where the geological conditions of the riverbank hills are favourable for the excavation of a tunnel. The construction of a tunnel diversion is limited by topographical conditions, construction budget, and construction scale. Therefore, the choice of a reasonable solution for the construction of a tunnel diversion has a certain influence on the cost, efficiency, and risk of construction A comprehensive consideration of how to construct a tunnel diversion can achieve a multi-objective optimization to reduce costs and increase efficiency. This paper incorporates risk as a constraint, with the radius of the upper part of the tunnel half arch and the lower tunnel elevation as optimizable variables for optimization. Based on the analysis of actual hydropower project data, Matlab is used to derive the most optimizable solution considering different possible scenarios of water flow, and the obtained results, show that the comprehensive objectives of shorter construction time and lower cost can be effectively achieved by analyzing the variables under different scenarios where the risk is a constraint.
Digital and analysis of alarm clock design based on Multisim
Authors: Cheng Leqian
Published: September 2023

With the development of technology and the times, virtual simulation technology represented by Multisim has been widely used, and simulation technology is also an indispensable part of industrial design. This article uses Multisim simulation technology to design and complete a digital electronic clock based on a 74ls160 counter, composed of a decoder, a display, a numerical comparator, and an alarm clock. In this design, digital circuits are used to display and adjust "time", "minute", and "second". By using various integrated digital chips to build circuits to achieve corresponding functions. It successfully realizes the functions of calibrating the time, reporting the time on the hour, and alarming the clock. Compared with traditional electronic clocks, it has the characteristics of accurate travel, intuitive display, and no mechanical transmission, The research in this paper will contribute to the further application of virtual simulation software in the design of small devices, and will not lay a foundation for the future industrial design process.
Theoretical analysis and comparison of memory copy accelerators
Authors: Shen Shizhe
Published: September 2023

Over the last few years, more and more compute-intensive and memory-intensive applications have occurred. These applications are not able to be realized without the base of strong computing and high memory performance. The former has been developed successfully and outstrips the latter to certain degrees. So, researchers must overcome the shortcomings of memory copy performance to catch up with the standard of computing ability so that the systematic applications can be improved. This paper introduces two solutions for memory copy accelerators and analyses their advantages and disadvantages. It also presents an innovative floating window model to replace the channel tags model so as to boost efficiency. With these above-mentioned key components, a comprehensive system is developed, which is a cost-effective and error-resistant improvement of the conventional memory copy accelerators. The new improved memory copy accelerator can be a substitute for the present ones and give a foresee of the future of memory copy solutions.
Canonical stratification of definable Lie groupoids
Authors: Tanabe Masato
Published: September 2023

Our aim is to precisely present a tame topology counterpart to canonical stratification of a Lie groupoid. We consider a definable Lie groupoid in semialgebraic, subanalytic, o-minimal over R, or more generally, Shiota's X-category. We show that there exists a canonical Whitney stratification of the Lie groupoid into definable strata which are invariant under the groupoid action. This is a generalization and refinement of results on real algebraic group action which J.N. Mather and V.A. Vassiliev independently stated with sketchy proofs. A crucial change to their proofs is to use Shiota's isotopy lemma and approximation theorem in the context of tame topology.
Studying the Online Deepfake Community
Authors: Timmerman Brian , Mehta Pulak , Deb Progga , Gallagher Kevin , Dolan-Gavitt Brendan , Garg Siddharth , Greenstadt Rachel
Published: September 2023

Deepfakes have become a dual-use technology with applications in the domains of art, science, and industry. However, the technology can also be leveraged maliciously in areas such as disinformation, identity fraud, and harassment. In response to the technology's dangerous potential many deepfake creation communities have been deplatformed, including the technology's originating community – r/deepfakes. Opening in February 2018, just eight days after the removal of r/deepfakes, MrDeepFakes (MDF) went online as a privately owned platform to fulfill the role of community hub, and has since grown into the largest dedicated deepfake creation and discussion platform currently online. This position of community hub is balanced against the site's other main purpose, which is the hosting of deepfake pornography depicting public figures- produced without consent. In this paper we explore the two largest deepfake communities that have existed via a mixed methods approach utilizing quantitative and qualitative analysis. We seek to identify how these platforms were and are used by their members, what opinions these deepfakers hold about the technology and how it is seen by society at large, and identify how deepfakes-as-disinformation is viewed by the community. We find that there is a large emphasis on technical discussion on these platforms, intermixed with potentially malicious content. Additionally, we find the deplatforming of deepfake communities early in the technology's life has significantly impacted trust regarding alternative community platforms.
Реалізація соціальної функції держави через освіту
Authors: Шапошникова І. В.
Published: September 2023

У статті розкриті основні теоретичні погляди на соціальну функцію держави та її реалізацію у суспільстві. Узагальнені підходи до розкриття методів реалізації соціальної функції державою. Визначено, що держава є інституційно найбільш ефективною формою організації сучасних суспільних відносин, яка здатна вирішувати економічні та соціальні проблеми, які постають перед суспільством внаслідок турбулентності та нелінійності сучасного етапу глобалізації. Обґрунтовано, що такі умови сьогодення вимагають зміни підходів до вирішення економічних та соціальних проблем. Акцентовано, що для сучасного етапу розвитку України характерні зміни, які спричинені соціальною стратифікацією, загострюються внаслідок поглиблення майнового розшарування населення, збільшення чисельності вразливих груп населення через активні військові дії на території України. Обґрунтовано, що саме через освіту можливе практичне втілення механізмів соціальної функції держави та нівелювання таких негативних соціальних наслідків в країні. Виокремлені головні критерії соціалізації державного управління, зокрема й шляхом підвищення ролі освіти. Визначено місце освіти у процесах забезпечення розвитку країни. Розкрито соціальне призначення освіти та посилення її ролі в умовах турбулентності. Окреслені напрями реалізації соціальної функції держави через освіту. Визначені особливості соціальної освіти, існуючі ризики та можливості реалізації на практиці в Україні соціальної функції через освіту. Встановлено, що реалізація соціальної функції державою через освіту в основному на практиці може здійснюватися за такими основними напрямами: 1) адаптація населення до соціуму (підвищення кваліфікації, короткострокові онлайн курси тощо) у разі необхідності оновлення знань внаслідок стрімкого розвитку технологій; 2) соціалізація вразливих верств населення для самовизначення (навчальні програми через сприяння ПФУ, соціальних служб, навчальних центрів, грантових програм тощо); 3) «соціальний ліфт» для розвитку кар’єри. Обґрунтована необхідність активізації розвитку соціальної освіти, зокрема й підготовки кваліфікованих спеціалістів з соціальної роботи, популяризації освітніх соціальних проєктів. Охарактеризовано основні програми освітньої підтримки ВПО, ветеранів. Визначені позитивні наслідки соціалізації за програмою ПФУ та отримання освіти за рахунок ваучерів ПФУ.
COVID-19 Vaccine Boosters: Rationale, Efficacy, and Implementation Strategies
Authors: Bilegtsaikhan Tsolmon
Published: September 2023

The development of COVID-19 vaccines has been a major milestone in controlling the pandemic. However, with the emergence of SARS-CoV-2 variants and the potential for waning immunity, vaccine booster doses have become an essential consideration for maintaining vaccine effectiveness. In this review, we discuss the rationale for COVID-19 vaccine boosters, evidence of their efficacy, and implementation strategies. We also explore the challenges of global booster dose distribution and potential futureresearch directions.