bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis on the Application of Polyamide (PA) materials to Replace Existing Materials in Hair Dryer Housings
Authors: Ning Congyu
Published: April 2023

This paper demonstrates and explains various properties of Acrylonitrile butadiene styrene (ABS), the material used for the housings of hair dryers, and analyzes the advantages and disadvantages of Flame retardant Polyamide (PA) materials as an alternative replacement of existing materials from the same aspects under current situations where the development of flame retardants and applications is becoming more and more vital. ABS materials cost less during the manufacturing processes, have a longer usage life, and is more environmentally friendly. PA materials have better flame retardancy and temperature resistance. By making addition to PA materials, its properties can be further improved. From the review, it is indicated that it is likely to replace the existing design with the materials that has PA materials as the base, with the addition of glass fiber and graphene, which is proved to have a better performance in terms of heat resistance, flame retardancy, durability, and is UV resistant in the meantime.
Improve the stability of the rolling bridge by changing the shape of the internal mechanism
Authors: Zhu Jiazhen
Published: April 2023

The London-designed Rolling Bridge inspired this study by Thomas Heatherwick to add stability to this bridge. This study aims to analyze what structures can increase the bridge's overall stability and determine the basic parameters. Finally, it revealed the structural type of this structure. This study uses force analysis, Pythagorean theorem and calculation of degrees of freedom to determine that the new structure is more stable than the original structure. In the study, the total length and number of segments were assumed to be constant to study the effect on geometry and static height during deployment. The study concluded that when the bridge's internal structure is triangular, the bridge is more stable than the original design in the folded state—the internal structure changes from triangular to trapezoidal when the bridge is extended to a horizontal position. When the bridge changes from the horizontal position to the folded state, the internal structure changes from trapezoidal to triangular. Meanwhile, hydraulic columns are mainly used to lift and bend bridges. Each structure has five nodes and five segments. Despite the increasing number and complexity of computations, the variable triangular structure is more stable than the fixed trapezoidal structure.
The Need for Transportation Electrification: Root Causes and Limitations
Authors: Dai Junhao
Published: April 2023

The contradiction between the environment and development is becoming increasingly prominent in the global trend towards cleaner, lower carbon, and smarter energy sources, leading to people's critical thinking about the transport sector, one of the most significant areas. Transportation electrification is giving rise to Net Zero development. In this context, this article focuses on the need to electrify transportation in this emerging trend while pointing out some key problems along the way. Through a systematic analysis of environmental and technological aspects, the article analyzes both environmental and technical aspects and also finds that the electrification of transport is an important initiative to reconcile environmental and resource conflicts. Moreover, it has now grown to a scale beginning to contribute to solving environmental problems. At the same time, the analysis shows that there are still some difficulties on the road to transportation electrification in terms of energy footprint and infrastructure. The related opportunities and challenges are also highlighted.
Path Planning Method for Underground Survey Robot in Dangerous Scenarios
Authors: Chen Zelong
Published: April 2023

Over the past 20 years, there has been a growing demand for autonomous exploration of underground environments such as tunnels, urban underground corridors, and complex cave environments. With the development of robotics, dangerous tasks that used to be done by humans have been replaced by underground survey robots. To avoid obstacles in the process of robot work, path planning technology has become one of the important components of underground survey robot. The underground survey robot not only needs to move in the plane, but also needs to climb along the pipe. However, the existing research is mostly two-dimensional plane, which cannot be directly applied to the underground exploration robot. Firstly, this paper compares the existing research and chooses Dijkstra algorithm for three-dimensional implementation. After that, the environment map is established, and the position of obstacles faced by the robot was set for simulation verification. Simulation results show the effectiveness of the proposed algorithm.
Analysis of wave energy device dynamics and power optimization
Authors: Li Chen
Published: April 2023

As an important renewable resource, wave energy has considerable development value and application prospects. How to design a wave energy conversion device to maximize the output power is an urgent problem in its practical application. In this paper, we mainly study the principle of wave energy device capacity, the motion and power model of the constructed wave energy device, and finally design a specific scheme to achieve the maximum output power of wave energy through kinetic analysis, the fourth-order ordinary differential equation solved by the Longacurta method, and the Simpson integral method. At the end of the paper, the developed model is objectively evaluated and the potential value of the developed model in practical wave energy device applications is illustrated.
Vision-based Robot Arm Grasping in Medical region
Authors: Wang Zhiyu
Published: April 2023

This paper proposes a vision-based robot arm grasping system for automatically sorting various and complicated medicines and helping take care of patients, etc in medical area. This system could successfully identify and locate the target objects in a complex and messy environment. To achieve accurately location, the system uses several cameras to recognition and estimation. The cameras cover various kinds, visual, laser, and mechanical sensors are all included.The computer will process the data and send instructions to robot arms for grasping. The experiment shows that the vision algorithm will efficiently help to sort medicines and other works. The robotic arms are fully covered by leather which makes it more safe and the internal lube and anti-slip pads on the gripper make it more flexible and smooth when grasping objects. During the COVID-19 pandemic, the robotic arm adjusted from industries to hospital so that it plays an important role in Nucleic acid testing, drug classification, disinfection. Moreover, it could help not only nurses to monitor the patients’ health but also patients to take better care of themselves.
Application of A Grasping Autonomous Transport Robotic Car with Machine Vision in the Express Industry in China
Authors: Xiong Yukun
Published: April 2023

In recent years, COVID-19 has badly affected people’s lives, and most industries have been hit hard, the express industry is a typical example, if the staff needs to be quarantined for epidemic control, the work efficiency of the express transfer center would reduce. In this project, to solve problems in the express industry, an autonomous transport car with a robotic arm was designed by using the technology of machine vision, path planning, SLAM, etc. The robot was simulated in the ROS platform m replaced by the turtlebot3 robot. As the result, the robot will go to the position set by Python code in the gazebo, when the robot identified the target, it will keep going straight forward to the target while keeping the target in the center of the camera. If the distance between the camera and the target is 0.15 meters, the car will stop and the robotic arm would grasp the target automatically. After the grasp, the robot will go to the destination and put the target in the basket. The result of the simulation shows that this robot can be applied to the express transfer center.
Stability Optimization Simulation of Industrial Robot in ROS Environment
Authors: Chu Yuezhang
Published: April 2023

This paper studies the end actuator motion state of an RRR industrial robot, and gives a bottom up decision-making scheme based on PID algorithm. Under the background of complex industrial control, any environmental factors will have a deep effect on the accuracy. The physical representation of the accuracy of the end effector is the electrical signal. Foscus on the signal difference from joint to joint, based on the ROS and gazebo, the simulation of the RRR mechanical arm model can theoretically and intuitively Reflect the differences. To minimize the error, proportional–integral–derivative controller will be sued in this model and then Adjust PID parameters of each controller. Assume that the external interference is a linear superposition of impulse signals. The impulse response which the model makes should return to normal as soon as possible. In this way, the purpose of anti-interference is achieved. At the same time, it focuses on solving the motion state of industrial manipulator. For general industrial robots, its actuator, a gripper, should have the function of reaching any position and taking any direction in a certain space area. In other words, if a reference frame o 'is fixed on the center of the hand claw, the robot can send o' to any direction at any position in the space area. The position and direction of the gripper are determined by the amount of motion from the base to the gripper pairs. In addition, with the rapid development of the Internet, image has become a common form of information. This paper will use image recognition technology to provide the required detection data and reference values for the PID controller. Thus, the workspace of the industrial robot can be reflected more completely.
Nanotechnology in the Field of Electric Vehicles
Authors: Sun Longhao
Published: April 2023

In this era of advocating environmental protection and low-carbon economy, electric vehicles (EVs) are now being promoted all over the world, and the world's leading traditional car brands are focusing their strategic approach on developing EVs. However, EVs do have many drawbacks such as paradox of battery performance and range. Batteries equipped in EVs nowadays usually have a low capacity, and heavy and large battery pack is not only expensive to manufacture but also reduces the range. Enhancing the performance of the battery pack and reducing the weight of the EVs has become a crucial problem. This article reveals that the application of nanotechnology has accelerated the development of EVs by improving the battery performance, enhancing the mechanical strength and reducing the weight of the car bodies. Specifically, nanomaterials such as nano LiFePO4, nano Li2MnSiO4 and carbon nanotubes can be applied to the electrodes to have a larger capacity, higher specific power, and longer cycle life, thus increasing performance and driving range. Besides, to achieve further reduction in body weight and increase body strength, lightweight nanocomposites such as carbon fibre reinforced composite can also be applied to structural application of an EV. The use of this nanocomposite significantly reduces the overall weight of the vehicle, increases the rigidity of the bodywork and improves the performance and safety of the vehicle. In the future, seeking for electric vehicles with longer driving ranges, more efficient batteries with better performance and higher long-term safety will be of academic and commercial significance.
Nanotechnology for Cathode Materials in Lithium-Ion Batteries
Authors: Zhang Qi
Published: April 2023

In order to provide the energy and power requirements of various uses, people demand for better cathode materials for lithium-ion batteries. Common examples of these include portable electronic gadgets, electric cars, and industrial-sized energy banks. However, most cathode materials have inherent limitations that limit their rated capacity. This limitation is caused by sluggish ion diffusion inside the crystal structure, and the issue is exacerbated for certain materials by their low bulk electrical conductivity. It has been proven that nanostructuring and analyzing cathode materials is, not only a beneficial approach to overcoming this problem, but also extremely useful in making certain materials electrochemically active. Not only does this improve how quickly batteries can accomplish their tasks, but it also makes certain materials more electrochemically active. In this article, recent developments in the design and synthesis of nanomaterials will be introduced. First, the fabrication method, crystal structure, and optimum shape of LiFePO4 nanomaterials were shown. Next, the capacity fading of LiMn2O4, the crystal structure of LiCoO2, the stable cycle under high pressure, and the difficulties encountered were covered. The study of three distinct nano-cathode materials has shown the important role that nanomaterials play to enhance the functionality of cathodes in lithium-ion batteries.
Progress of ammonia electro-oxidation catalysts for direct ammonia alkaline fuel cells
Authors: Gao Peifeng
Published: April 2023

At present, hydrogen fuel cells are one of the effective means to solve energy and environmental problems, but the problem of hydrogen storage and transportation is difficult to break through. Ammonia is a carbon-free hydrogen-rich compound, which also has the advantages of high bulk density and easy storage and transportation, and is an ideal fuel to replace hydrogen as a battery. However, at present, the preferred ammonia electro-oxidation catalyst for direct ammonia alkaline fuel cells is still platinum, and its expensive price is the main problem that hinders the wide application of direct ammonia alkaline fuel cells. Therefore, the design of low-cost and high-efficiency catalysts is a necessary task for commercializing direct ammonia fuel cells. In this paper, we firstly review the progress of researchers in ammonia electrooxidation mechanism in recent years, focus on reviewing the current research status of Pt catalysts and non-Pt catalysts for direct ammonia alkaline fuel cells, and finally suggest future research approaches to address the existing problems, aiming to provide ideas for designing more efficient, stable and cheap ammonia electrooxidation catalysts in the future.
Analysis of the composition of ancient glass objects based on cluster analysis and Bayesian discriminant methods
Authors: Wang Junjian , Cao Chenghao , Zhang Wenqing
Published: April 2023

The aim of this study is to investigate the open problem of classification laws and results. First, a comprehensive research method of quantitative analysis-Bayesian discrimination is used to reasonably and accurately investigate the classification laws of high potassium glass and lead-barium glass, obtaining the Bayesian discriminant for high potassium glass ????1 = 2.909????1 - 0.117????2 + 4.487 ????3 + 2.432????4 + 1.097????5 + 3.352????6 + 3.403????7 + 6.303????8 + 2.669????9 + 0.897????10 + 1.882????11 - 4.543????12 + 5.002????14 - 150.381 with the lead-barium glass Bayesian discriminant ????2 = 2.447????1 - 1.195????2 + 42.807????3 + 2.117????4 + 1.0971.534????5 + 3.221????6 + 3.299????7 + 4.830????8 + 2.513????9 + 1.226????10 + 1.590????11 - 5.628????12 + 3.087????13-111.481. Then, using the clustering process-Bayesian discrimination method, the number of sample clusters was roughly determined using systematic clustering, and the data were categorized in detail using K-Means clustering, resulting in the possibility of classifying each of the high-potassium and lead-barium glasses into Three subclasses were identified, and Bayesian discriminant functions were derived for each subclass, and the data were tested to justify the subclasses.
Classification of Glass Products Based on Clustering Algorithm
Authors: Yan Sixing , Zhang Keyu , Sun Jianxiang
Published: April 2023

The analysis and identification of glass cultural relics is an important scientific basis for further research on the source and process analysis of glass. First, in order to clarify the classification basis for high-potassium and lead-barium glass, K-means cluster analysis was used to analyze and screen out suitable main related elements as the basis for glass classification. Finally, the accuracy and stability of the model were verified by comparing data, consulting literature, and analyzing sensitivity.
Research on surface morphology and characteristics of top-hat fiber laser polishing aluminum alloy 5052
Authors: Zhu Yixin , Xiao Haibing , Zhou Yongquan , Luo Bowei , Wang Lijun , Zhang Songling , Chen Hongduo , Li Wanluo , Yang Yuanda
Published: April 2023

Aiming at the defects such as cracks in the polishing process of aluminum alloy 5052, the laser polishing of aluminum alloy 5052 was studied, and a new top-hat beam laser polishing method was proposed for aluminum alloy 5052. The energy distribution in the polishing process was well-distributed, which greatly improved the energy utilization efficiency and reduced the surface roughness. Confocal microscopy and SEM were used to obtain the microstructure and phase composition of the microstructures. The results showed that the surface roughness was considerably reduced to lengthen the service life of the aluminum alloy 5052 materials from an initial roughness of Sa = 3.9 μm to Sa = 1.32 μm after using top-hat fiber laser polishing.
Sodium-Ion Batteries: Exploration of Electrolyte Materials
Authors: Ouyang Zhiran
Published: April 2023

In recent years, as fossil energy sources such as oil and coal continue to be consumed, the issue of resources and the environment has become one of the main challenges to the sustainable development of human society. People's electricity consumption has increased dramatically, and the demand for energy storage batteries has also increased. Sodium-ion batteries (SIBs) are a very worthwhile development because of high Na reserves in the world, which can bring many advantages. The electrolyte can control the battery's inherent electrochemical window and performance, influence the nature of the electrode/electrolyte interface, and is one of the most important material choices for SIBs. The electrolyte simultaneously influences the electrochemical performance and safety of SIBs. This paper focuses on electrolyte materials in SIBs, explaining the fundamental needs and categorization of sodium ion electrolytes and highlighting the most recent advances in liquid and solid electrolytes. It is found that SIBs still have problems such as lower energy density, narrower electrochemical stability windows, poorer solid electrolyte interphase (SEI) stability, etc. Solving the related technical problems is of great significance for commercializing SIBs.
Driving the Performance Enhancement of Lithium-Ion Battery: Anode Material Perspective
Authors: Shao Jiawei
Published: April 2023

Electrical energy is one of the key sources supporting civilization, while the power structure dominated by thermal electricity leads to serious environmental problems in the 21st century. To meet the growing device performance demand and climate goals, exploitations exemplified by lithium-ion batteries (LIBs) are being sought. By fully understanding the electrochemical mechanisms and analysing, designing, and testing various electrode materials, LIB becomes one of the accessible power supplies in electric vehicles (EVs), aerospace, and information sciences. Herein, this paper aims at offering a critical overview of the LIB improvement from the anode material perspective. By focusing on three advanced types of anode materials and going over their mechanism, microstructure, and testing results, current challenges, and future potentials of the development of LIB are highlighted, along with scale-up issues. Note that the focus of future study ought to be recognized as detailed mechanism understanding, material selecting and synthesis, and "jumping out of the lab".
Diverse Nanotechnology Applications for Electric Vehicles
Authors: Huang Ziqiu , Li Yifeng , Xu Yingzhe
Published: April 2023

The research on nanomaterials has been attracting more attention in recent years. At the same time, with the advancement of human development and social industrialization, traditional energy sources such as oil, natural gas, and coal, which are closely related to human beings, are decreasing day by day, and the resulting environmental pollution is becoming more and more serious, which threatens the sustainable development of human beings. The world is transforming from traditional cars to electric vehicles to realize a sustainable development strategy and protect the natural environment and resources. This article can be divided into three parts, focusing on nanomaterials' applications in electric automobiles. Firstly, the materials used on the car frame, such as aluminium alloys and steel, are introduced and compared. Then, the superhydrophobic coatings with fascinating self-cleaning and corrosion-resistant performance on these substrates are discussed. In the end, the latest discoveries of new battery materials are listed, and some potential research areas in the future and perspectives on these technologies are given out.
Advancing Power Supply Devices for Electric Aircraft
Authors: Wang Yinuo , Zhang Luoming , Zhou Qiaoyi
Published: April 2023

The pollution caused by the construction of more aircraft that run on fuel will become more severe as more fuel-energy aircraft are built. As a result of the numerous environmental crises currently confronting the world, electric jumbo jets need to replace those that run on fuel. Note that the most interesting issue would be the airplane's power supplies. Research is conducted on the physical principles underpinning solar panels and power beaming. Batteries are an essential component of electric aircraft. The materials used to construct airplane batteries are among the most crucial aspects of battery design, and lithium-ion batteries are among the top options available. The capacity of the batteries will not decrease over time, and they will not catch fire or put passengers at risk. In order to maintain charging, a one-of-a-kind combination of sulfur and selenium is utilized. It has been discovered that solid sulfur selenium batteries have a good touch, do not ignite, are thinner (even thinner than lithium-ion batteries), and have a higher capacity for storing energy than lithium-ion batteries.
State-of-the-art Power Battery Cooling Technologies for New Energy Vehicles
Authors: Li Yafeng , Sun Yang
Published: April 2023

The creation of new energy vehicles will help us address the energy crisis and environmental pollution. As an important part of new energy vehicles, the performance of power batteries needs to be improved on a significant basis. However, the nonideal inherence of the power battery induced the unexpected heating phenomenon in the battery energy storage system in the electric vehicle, which rising the concerns about reliability and stability. Accordingly, the effectiveness of the heating suppression for battery energy storage system becomes an essential issue for maintaining the reliability and stability of new energy vehicles. Generally, in the new energy vehicles, the heating suppression is ensured by the power battery cooling systems. In this paper, the working principle, advantages and disadvantages, the latest optimization schemes and future development trend of power battery cooling technology are comprehensive analyzed. The research on power battery cooling technology of new energy vehicles is conducive to promoting the development of new energy vehicle industry.
Analysis of Tesla Model’s Cylindrical Cells and Electric Motor
Authors: Zhou Runze
Published: April 2023

The article contributes with a review of Tesla model s and Tesla cylindrical cells represented by 4680 new high-performance battery. The reason Tesla uses cylindrical cells is explained by comparing the commonly used batteries of three types. A method to solve the uneven current distribution of cylindrical cells also be proposed. The report also introduces and compares three types of motors: IM, IPM and SPM, including the motors’ structure, advantages and disadvantages of various types of motors, the relationship of speed and torque. As a new travel tool for future sustainable development and low-carbon society, electric vehicles have been well developed in recent years. The related technologies are becoming more and more mature and the industrial chain is becoming more and more perfect, the distribution of related supporting infrastructure such as charging piles is becoming much common. Therefore, the EVs have received more and more attention. The future development prospects of electric vehicles are certainly promising.
Comprehensive Analysis of Power Systems for Hybrid Electric Vehicles
Authors: Wei Xinyang , Yu Huajun
Published: April 2023

Now the pollution problem is becoming more and more serious, and the gas emitted by cars has seriously affected the environment. In order to reduce environmental pollution and Strength conservation and emission discount, sell the first-rate sustainable development of China's new electricity automobile industry, accelerate the development of vehicle strength, and the study of new energy vehicles is inevitable. New power vehicles are designed to use unconventional energy sources or indirectly use gasoline energy in a way that differs from conventional automotive internal combustion engines. The new power vehicle is the superior technology to complete the power control and driving of the vehicle which transcends the traditional technology and way. It is a vehicle with new technology as well as new structure. This paper mainly analyzes the energy conversion of hybrid electric vehicles, the advantages and disadvantages of the power system of hybrid electric vehicles, and also discusses the actual application of technology and the plate and management mode of power battery.
Cathode Materials of Lithium Ion Battery
Authors: Huang Xudong
Published: April 2023

Lithium ion battery (LIB) technology is getting more and more attention for its superior electrochemical property in recent years and has begun to gradually enter the market occupying a certain part of market. The cathode conducts as an important part of LIB, its material will influence the overall performance of the battery greatly. This paper classifies and introduces multiple cathode material already basic applied commercially of LIB including LCO, LMO, Ternary Lithium Oxide (mainly introduce NCM and NCA) and LFP, showing their structure, physical property, chemical property (mainly the electrochemical property working as the cathode of LIB), synthesis in the lab and manufacturing approaches in the factory. In the end of the paper, the advantages and disadvantages of each material are summarized and the reasons why some of them have got commercial applications while other not yet are discussed. Besides, the future research directions of better the cathode material are introduced briefly.
The current status and development of DC/AC inverter technology
Authors: Chen Weimin , Xia Shengnan , Yin Kefeng
Published: April 2023

The advantages, applications, and development trends of DC/AC inverter technology are compared with conventional inverter technology. The traditional DC/AC inverter technology of the low-frequency link inverter process has been gradually replaced by the high-frequency band inverter process. The replacement of the industrial frequency transformer in the low-frequency link inverter process technology with a high-frequency transformer further optimizes and improves the low-frequency link inverter process technology and significantly enhances the characteristics of the inverter. In this paper, some new inverters are highlighted. The focus is on a new high-frequency chain inverter using a unipolar SPWM control method to design different drive logic control switch tubes. A single-stage single-phase high-to-low voltage converter is widely used to interchange solar and wind turbine power supplies. They all belong to PV inverters with high reliability and a wide input voltage range. These completely solve the problems of large size, high ratio, and poor dynamic response of low-frequency transformers. Future trends in inverters at this stage are mainly characterized by high frequency, high performance, and high input power factor.
A review on promising MPPT control methods of Photovoltaic System
Authors: Zhu Tianle
Published: April 2023

The use of renewable energy is rapidly developing, especially the solar energy. Photovoltaic is one of the most promising energy sources. This paper presents a brief review on promising MPPT control methods of the Photovoltaic System. First, the overview of the basic photovoltaic system, the concept and basic theory of the widely used P&O MPPT control method is discussed. Then three of the promising improved MPPT control methods are chosen. Meaningful research on the main concept and basic theory of the three methods is covered. This paper collects some of the research results of these methods for comparison. At last, these three methods are compared in three important indexes: the tracking time, the complexity of implementation and the accuracy. These indexes indicate the efficiency, accuracy, and usability of these methods, which can be a meaningful reference for future applications and further research.
Carbon-based Anode Nanomaterials for Lithium-Ion Battery
Authors: Huang Yichen
Published: April 2023

In consideration of environmental protection, more and more countries in the world put the issue of sustainable development on the agenda while lithium-ion battery (LIB) plays a crucial part in this process. In addition, carbon based nanomaterials are characterized as diverse types of materials that are produced in a variety of characteristics. Due to the large specific surface area, great electronic and mechanical qualities, variable chemical functionality as well as wide potential window they own, carbon nanomaterials have been studied and developed as anode materials for LIB to enhance its performance. In this paper, the basic structure, main properties together with the synthesis methods that are related to carbon nanomaterials including CNTs, graphene and CNSs are presented. In addition, these potential candidate materials for anode materials of LIBs are also summarized and discussed. The main functions and the importance of synergy between active electrode species and carbon nanomaterials are emphasized.
The Impact of Nanotechnology on Lithium-Ion Battery Used in Electric Vehicles
Authors: Qin Haonan
Published: April 2023

The global environment has already been polluted by the traditional fuel vehicles and become more and more serious. In this situation, the electric vehicles (EVs) came to the attention of the worldwide people. In recent years, the electric vehicles have developed rapidly. As a result, the components of the electric vehicles were logically achieved great success, particularly the rechargeable lithium-ion battery. Fortunately, the nanotechnology, at the same time, made a great deal of huge achievements and appeared in numerous fields. Nanotechnology obviously plays a critical role in the field of lithium-ion battery and nearly all elements of lithium-ion battery are changed to varying degrees. The performances of lithium-ion are becoming more suitable for commercial production, such as higher power and energy density, lower price, better stability and increased capacity. The recent and advanced developments of different kinds of welcomed anode materials, graphite, nanostructural silicon, lithium titanate and titanium dioxide, and cathode materials, lithium cobalt oxide, LiFePO4, lithium manganese oxide, nickel-rich cathode, and solid electrolyte nanomaterials, are discussed and emphasized with the advantages and disadvantages, limitations, methods for improving and future development. The modification caused by nanotechnology truly can improve the performance of the lithium-ion battery. Lots of further researches that is changing the traditional materials into nanoscale or adding nanomaterials will be processed in the purpose of finding the most practical lithium-ion battery used in electric vehicles.
Research on Traditional Aircraft and Electric Aircraft from Environmental and Technological Aspects
Authors: Wang Yanchen
Published: April 2023

People frequently underestimate how much aviation contributes to climate change—3.5% of warming. Compared to other mainstream industries, its current share of emissions is quite tiny. However, the question is that air travel cannot be decarbonized yet through present technologies. Environmental pollution problem is getting worse and worse on account of greenhouse and harmful gas emissions. On the other side, the interest in full or more electric aircraft is stimulated by the electric vehicle industry during the last couple of years. This paper mainly focuses on the system in more electric aircraft (MEA) and the difference between MEA and traditional aircraft design. The present goal of more electric aircraft is that most of the important systems that currently use non-electric power should be replaced such as engine start, taxiing and propulsion system to improve air contamination issue and a number of aircraft characteristics. Besides, NASA’s electric propulsion idea on reduce emissions, improve fuel efficiency and it is system structure are all worth considering.
Research on the Electron-blocking Layers in the GaN-based LEDs
Authors: Hai Erfu
Published: April 2023

The electron overflow happening in the active region of GaN-based light-emitting diodes (LEDs) will decrease the rate of radiative recombination, leading to a reduction of light output power. To deal with the problem, the electron blocking layer(EBL) is designed to weaken electrons leakage. Various designs and structures of the electron blocking layers embedded in the multiple quantum layers of GaN-based LEDs are reviewed in this paper. Designs such as trapezoidal EBL, step-graded superlattice EBL, and hybrid EBL can all effectively limit the amount of electron overflow. With many designs of EBL, LEDs are expected to have a wider range of applications in the opto-electric field.
Research on Light Extraction of GaN-based LED with Surface/Interface Coarsening
Authors: Du Jingjing
Published: April 2023

Light-emitting diodes (LEDs) are a highly versatile light source that have been widely employed in various fields. In order to maximize its quantum efficiency, it is essential to boost the efficiency of light extraction. Internal photon reflection can have a distinct negative impact on the luminous output power of GaN-based LEDs, which can be addressed by surface and interface texturing of different LED layers. This article discusses the mechanisms of light extraction losses in GaN-based LEDs and summarizes various surface and interface coarsening techniques proposed for improving the light extraction rate, including a range of physical and chemical etching methods.
Predicting Forest Fire with Linear Regression and Random Forest
Authors: Guan Ruide
Published: April 2023

Forest fire is a global problem and it bothers a lot of countries. It not only threatens human life, but also causes serious damage to the environment and great economic losses. Therefore, forest fire is particularly important for forest fire prevention. and economic loss. However there many methods can be used to predict the forest fires then the forest fires could be stopped even before it happened. So, in the research will be talking about two methods in analyzing forest fire data set in order to predict the forest fires, they are linear regression and random forest. And before analyzing the data, the data will be pre-processed by PCA in order to get a more accurate result. Finally compare the result from linear regression and random forest to compare which method has a higher accuracy and better performance. And from the result and the comparison linear regression showed to be perform better in predicting forest fire.
Development of Cognitive enhancement methods
Authors: Deng Zhijian
Published: April 2023

Cognition ability represents a group of cognitive processes, which involves a lot of human’s basic cognitive functions, including executive attention, episodic memory, prospective memory, uncertainty monitoring and metacognition, and self-control and delay of gratification, playing an essential role in human’s fundamental life. Mainstream cognition enhancing technologies are task based method, drug based method and brain computer interface based method, whose general principles are directly training relative functions, rebuilding nerve interactions in cell or molecular level and giving signals stimulating neurons respectively. In This essay, after introducing these three cognitive enhancement methods and analyzing the advantages and disadvantages of each of them, some advises and expectations are given.
Machine Learning in Geology: Challenges and Prospects
Authors: Liu Yuheng
Published: April 2023

Machine Learning methods, along with high-performance computing, is creating chances for data intensive science in various domains such as Geology. Known for its precision and efficiency, Machine learning has renovated many fields of science thoroughly. However, when it comes to Geology, Machine Learning methods aren’t fully applied, lacking an overall frame to arrange those works with scattered aims and methods. This paper presents a comprehensive review of research focusing on application of Machine Learning methods in Geology studies. The works analyzed were categorized in three aspects of Geology studies: mineral prospecting and mapping, land-cover monitoring; geochemical anomalies detection; earthquake monitoring and geological sample identification. The selection and classification of the presented articles demonstrate how Geology benefits from Machine Learning methods.
Research on "Internet Standardized" Garbage Sorting Market Operation Method--Taking University Garbage Sorting as an Example
Authors: Wang Lihao , Li Shoucai , Qu Kaiyue , Wang Anzhe , Chen Fan
Published: April 2023

With the advent of the Internet era and the improvement of people's living standards, more and more garbage is generated per capita. In order to explore the market-oriented operation of garbage sorting in China, this paper takes universities as an example and creates the "Internet+standardized" university garbage sorting market-oriented operation alliance to test the effect of garbage recycling projects in universities. In the initial stage of the project, the unique conditions such as strong environmental awareness, huge amount of domestic waste, high recyclable rate and regular work and rest are the inherent advantages for promoting waste classification reform. In the implementation process, this paper will establish an integrated platform benefiting schools, students, merchants and recycling enterprises, form a market-based mechanism with a multi-body linkage for resource recovery and reuse, raise the environmental awareness of college students, and explore a suitable path for waste separation to be implemented in China.
Application and research on trajectory big data
Authors: Chen Siyong , Liao Jingjing
Published: April 2023

In the era of big data, the formation of massive trajectory data of moving objects with rich Spatio-temporal feature information can mine data such as human activity patterns and behavioral characteristics through trajectory data processing technology. This paper and analyzes the concept of trajectory data, the application process and the research results. Firstly, this paper briefly describes the trajectory data. Secondly, it outlines the supporting techniques of trajectory data, including data cleaning, integration, and transformation. Next, it introduces the classification steps of trajectory data mining, including using the segmentation method to segment the data, extract features from the segments; besides, it models and studies the predicted questions in this topic. Then it briefly introduces the application method of trajectory data mining in data privacy and the application of trajectory data in the transportation field. Finally, the paper summarizes the challenges and future research directions of trajectory data processing.
Flexible Pressure Sensors and Their Applications
Authors: Chen Junru
Published: April 2023

The application of flexible pressure sensor is a new type of pressure sensor based on new materials prepared by a nano process. It differs from conventional pressure sensors due to its good flexibility, free bending, small thickness, high sensitivity, and ease of mass production, and is particularly suited for measuring soft surface contact stress. It has several potential applications in smart homes, smart medicine, wearable gadgets, and other domains. The microstructure can not only increase the sensor's sensitivity, but it can also recover the sensor's elastic deformation more quickly, so it has a swift duty. The capacitive flexible pressure sensor will be introduced first, followed by the resistive pressure sensor, and then their practical applications will be discussed. This paper's research will contribute significantly to the study and implementation of flexible pressure sensors. It will contribute significantly to the study and application of flexible pressure sensors.
Artificial Intelligence for Art Creation with Image Style
Authors: Shi Jinglun
Published: April 2023

Artificial intelligence (AI) has become a great success in the past decade. Powered by efficient hardware and neural network models, AI has made a wide change to almost all disciplines. While still in an early stage, AI has been used in the art field much more frequently than before, with various methods, e.g., generative adversarial networks. However, whether AI can replace human beings in art creation is still an unsolved question. Therefore, how to use AI technology to achieve artistic creation has become very meaningful, and has also been favored by many research groups. In this paper, we demonstrate the ability of AI for art creation with a case study of image style transfer. The result shows that AI is still not satisfactory and consumes too much computation. However, a new creative idea is proposed, and we will conduct lightweight research on this basis in the future. So as to realize the artistic creation of real artificial intelligence.
Stability Monitoring of Goaf Based on Remote Sensing Image
Authors: Zheng Zhongcheng , Zhu Yijiang
Published: April 2023

Large scale mining of coal resources is a major factor causing goaf collapse in China. According to the statistics of 21 major coal mining provinces, the area of coal mining surface subsidence is up to 4.5 billion m2, posing a great threat to the regional ecological environment and people's lives and property. The rapid development of remote sensing technology has changed the traditional field survey method and has become one of the important means of environmental monitoring. Information can be obtained not only by photography, but also by scanning. The amount of information obtained by remote sensing far exceeds that obtained by conventional traditional methods. Based on remote sensing images, this paper studies the stability monitoring of coal mine goaf, establishes a ground pressure monitoring network suitable for the actual situation of the mining area, and carries out long-term effective ground pressure monitoring. Through remote sensing images, we can fully grasp and avoid the hazards of the goaf. Remote sensing technology has the characteristics of wide use, large detection range, and rich information acquisition. It can comprehensively obtain the basic information of the mining area environment, and then monitor the mining area environment.
Summary of Research on Facial Expression Recognition
Authors: Chen Qizheng
Published: April 2023

Facial expression recognition allows computers to understand expressions according to human thinking. It is an important component of human-computer interaction. However, with the rapid development of deep learning, the research of deep learning technology in the field of facial expressions has also become a research hotspot, so is deep learning. It is necessary to analyze the application of technology in facial expression recognition and the results obtained. Firstly, several commonly used expression data sets are summarized; then the expression recognition methods based on deep learning are classified from the aspects of feature extraction and feature classification, and several network improvements in expression recognition based on deep learning are analyzed from the aspect of network improvement. Method; Finally, the challenges and future development in the field of facial expression recognition are described.
Artificial Intelligence and Human Workers Interaction
Authors: Hu Yiwen
Published: April 2023

Artificial intelligence are one of the representative technologies of the fourth industrial revolution, which promote the transformation and upgrading of manufacturing enterprises to automated and intelligent production. As changes of traditional work scenarios and organizational models are happening, understanding how robots will influence human worker in various aspects is becoming more and more important for the reason that companies need to ensure a healthy and efficient relationship between human and robots. In particular, it is essential to figure out how human workers will be influenced. This question has attracted a lot of attention from academic and practical circles. However, the impact of the use of robots on employees and the mechanism of its generation have not yet been systematically reviewed and summarized. In this paper, a detailed summary is presented on the topic focusing on how robots will influence human workers in two separate ways: mental state and job performance. The whole summary will be developed from a basic understanding of the current stage of robotics application to the psychological and behavioral responses of employees induced by use of robots. The theories involved in the existing studies are also sorted out and reviewed, with an ultimate production of a research framework and future research directions.
Mechanism analysis of traffic accident prone points based on The Spatial Durbin Model
Authors: Xiong Zirui , Zhang Rui , Wu Weiming
Published: April 2023

The significant increase of freight traffic related collision accidents has aroused people's increasing concern about road safety. Using data from California, this paper studies the spatial relationship between freight related traffic accidents and low-income and minority communities. The study found that household income and minority population were significantly correlated with the density of freight related crashes and freight related crashes that led to serious casualties. Compared with areas with high-income groups, areas with low economic status, such as blacks and Asians, are more than 119% more likely to have traffic accidents. Among them, areas with black populations are more than 39% more likely to have traffic accidents than areas with Asian populations. The results show that freight related collisions are affected by spatial inequality.
Review of Four Improving Designs of Dynamic Latch Comparator
Authors: Wang Sudong
Published: April 2023

In this paper, four disparate designs of dynamic latch comparators are discussed consecutively. By improving the design of the pre-amplifier stage, the double tail comparator provides a good power-speed trade-off. Further, Differential pair amplifiers are implemented in the second design, which has better comparison speed and energy dissipation. Next, a bulk-driven structure is employed on the comparator design to improve the comparison speed. Finally, a dynamic comparator utilizes a floating reservoir capacitor and a positive feedback bulk structure is introduced to achieve higher energy efficiency. The overall performance of these comparators is evaluated in this paper.