bluuebunny/crossref_metadata_2025 huggingface dataset:
The Heterodox Psychology and Queer Poetics of Auden in the 1930s
Authors: Spitzer Jennifer
Published: September 2023

Chapter 3 tracks Auden’s productive ambivalence about psychoanalysis and his embrace of a radical set of psychologies that proposed the liberation of desire from all forms of repression. Auden identified psychoanalysis early on as a model for his poetics of difficulty and as an epistemology of same-sex desire, only to turn to more heterodox psychologies that recast psychoanalysis as a mode of repression and ideological consensus. Within the experimental laboratory of late Weimar Berlin, Auden began to challenge psychoanalytic views of same-sex desire as failed maturation and psychic regression, although he never fully abandons these ideas. Reading Auden’s poetry and critical prose of the early- and mid-1930s, I explore his idiosyncratic readings of psychoanalysis and his adoption of a group of marginal psychologists who helped him challenge the diagnostic activities of psychoanalysis and develop a queer poetics. Auden’s 1930s modernist style marks a turn away from the heuristic model of Freudian encryption and a poetics of difficulty, and toward a strategically amateurish poetics that preempts the need for critical experts.
Helen Kirkpatrick’s Reporting to Undercut Irish Neutrality Policy, 1939–1942
Authors: Garner Karen
Published: September 2023

Helen Paull Kirkpatrick, American political journalist and foreign correspondent for the Chicago Daily News in London and Paris during World War II, took on a personal and professional journalistic mission to report critically on southern Irish neutrality policy 1939–1942. Because of her energetic anti-fascist and pro-Allied reporting on diplomatic intrigues in neutral Ireland, U.S. Minister to Ireland David Gray befriended her and at times made her his co-conspirator, feeding her inside information about German spy activities and sensitive Anglo-Irish trade relations that she reported through articles in the Chicago Daily News and shared with British and American government officials and other London-based war correspondents. Her impassioned reporting on Irish affairs was intended to fuel both U.S. and Irish anti-fascist sentiments and to undercut the Irish government’s neutrality policy.
Reporting from the Bureaus
Authors: Cosley Kendall
Published: September 2023

During World War II, two types of reporters documented the conflict: combat and foreign correspondents. The former followed troops to the frontlines and gained fame for their harrowing tales of battle. Don Whitehead, Ernie Pyle, and Andy Rooney are primary examples of those who provided the boots-on-the-ground view of the war. Foreign correspondents, in contrast, worked in bureau offices overseas, writing the larger-geopolitical view of the conflict. Bureau writers failed to gain the same attention and notoriety as combat correspondents, yet their fact-based contributions form the basis of our knowledge of World War II. The purpose of this study is to shed light on the relatively unknown experiences and hardships of the war correspondents who lived in metropolitan war zones and suffered alongside the civilian populations. The personal papers and professional writings of Associated Press correspondents Louis P. Lochner, Edwin A. Shanke, Alvin J. Steinkopf, and Edward P. Kennedy serve as a lens into the role of foreign reporters in the second global war.
Democracy of Generational Beings
Authors: O'Byrne Anne
Published: September 2023

Carl Schmitt claimed that liberal democracy was a doomed project because liberal universality and humanity contradict the principle of democratic equality, which requires the distinction between those included and those excluded. More recent thinkers like Chantal Mouffe and William Connolly, have embraced this as the democratic paradox. This chapter warns of the tendency of democracies to revert to the logic of the genos—for example, the use of jus sanguinis as the criterion for citizenship, the rhetoric of nationhood, and affective appeal of fraternal love. At a deep level, this is the problem of time for democracies. The revolutionary temporality of democratic founding makes us forgetful of the temporalities of inheritance, which include the temporalities of maintenance and the on-go, promise, privilege, trauma and more.
Conclusion: The Antigenocidal Democracy
Authors: O'Byrne Anne
Published: September 2023

Only when we pay attention to the problems that generational being creates for democracy will we be ready to build antigenocidal democracies. It means 1) envisioning democracy as the scene for the expression of many temporalities, 2) taking on the theoretical work of understanding the relation of genos and violence, 3) confronting the democratic deficits that make belonging to the demos an inadequate replacement for genos life, 4) acknowledging the violent founding of our existing democracies, and 5) learning to see the genocidal reach of familiar social structures such as incarceration, social and economic neglect, and marginalization that marks certain communities and certain people as superfluous. It means rejecting the reassuring, pernicious appeal of the rhetoric of them and us.
Environmental Instability
Authors: Sojoyner Damien M.
Published: September 2023

As documented in many of the archives of radical organizers, the fragility of violent resource extraction was emblematic of the US imperial project. Within these aforementioned collections there was an explicit connection made about the coloniality of oil extraction and its impact upon Black communities around the world. A central component that linked such imperial projects across the globe was the rise of militarism—and thus persistence warfare—as the dominant mode of governance. The warfare apparatus central to western ontological projects was vital to destruction of land and communities. Carcerality, understood as the logical application of militarism within the United States, was cojoined to matters of resource extraction and the multiscalar effects that resulted in Black communal dispossession.
Design of Arduino-based wheeled robot for plant-watering in public places
Authors: Cai Yuzhou
Published: September 2023

As many potted plants are placed at long distances from each other in public areas, watering them leads to much manpower consumption, while using large-scale irrigation in this situation is unsuitable. Since plants are relatively stationary, its appropriate to use robots to water them, instead of human labor. To make watering indoor plants easier, in this article, an Arduino-based wheeled robot for plant-watering in public places is designed. 3D modeling, circuit design, programming and verification experiments have been conducted to complete this design. The achievement includes a 3D model, a control circuit, an executive system and Arduino code. In this research, the cost issue has been taken into consideration. The designed robot is relatively economical, as it only uses some basic inexpensive components. The robot has the capacity to realize route-tracking for navigation, detect the plant right before it and spray water accurately, with various sensors. The existing design can achieve predetermined goals at present, and improvements are going to be undertaken in the future.
An analysis of gait capture and simulation techniques for lower limb exoskeleton robots for stroke rehabilitation
Authors: Jin Yiquan
Published: September 2023

Lower extremity rehabilitation-assisted exoskeleton robots bring together multiple disciplines such as biomechanics, control engineering, robotics, and computer science. The main role of lower extremity rehabilitation exoskeleton robots is to help patients and rehabilitators to maintain or restore the mobility of lower extremities, therefore, proper research and discussion of human gait analysis is the basis for establishing and improving such exoskeleton robots. To analyse and evaluate the positive effects of modern technology on stroke patients, the development of human gait capture and simulation technologies will be mainly summarized, the latest human gait capture and simulation technologies will be classified and evaluated. And through a comprehensive review and analysis of research advances in these areas, the usefulness of lower extremity rehabilitation-assisted exoskeleton robots for stroke populations is evaluated. This paper is informative in studying the usefulness of a lower limb exoskeleton robot combined with gait capture and simulation technology for rehabilitation training of stroke patients.
Analysis and prospect of soft robot drive control technology
Authors: Wang Zhiruo
Published: September 2023

Soft robots have become an emerging field of research with the advancement of science and technology. It has the advantages: flexible, soft and fast. It has good results within narrow space work and has great research potential in disaster relief, exploration and medical treatment. It has a theoretically infinite number of degrees of freedom, but degrees of freedom and actuators do not always correspond in a straightforward one-to-one manner, making it difficult to achieve accurate, control-accurate modelling. It is worth exploring how modelling techniques and sensor control techniques can be optimized to improve control accuracy and achieve human-machine interaction. In addition, most actuators currently use a single drive method, which leads to the limitations of redundant degree of freedom control. Combining multiple drive methods while ensuring drive control accuracy and drive force is also a future research direction. In this paper, the current state of control and drive research in soft robots will be introduced. Then three control modelling methods - modelled, modeless and hybrid control will be discussed in detail. Three common drive methods will be mentioned - fluid drive, SMA drive and EAP drive. A prospect on the control methods and drive mode of soft robots will be given. This paper is useful for robotics research.
The formation of unmanned aerial vehicle swarm
Authors: Lu Ziyi
Published: September 2023

The Unmanned Aerial Vehicles (UAVs) have played a much more important role in daily life, ranging from entertainment and military use, in which case UAV swarm is adopted as means to lower the operation cost, as well as to compensate for the insufficient performance of a single drone. However, sharp distinctions between individual drones and UAV swarm exist not only in the field of controlling, but in the area of aerodynamics as well. To conclude, the operator, instead of a team of engineers, needs to perform severe tasks with the help of several drones which act as a swarm rather than interfere with each other. Meanwhile, in order to improve the efficiency of UAV swarm, different formations are looked into from different fields, mainly aerodynamics and control engineering. This review will mainly focus on the aerodynamics performance of formations of swarming UAVs, both in close formation flight and extended formation flight. Comparisons will also be made to show the merits and demerits of these formations, providing convenience for path planning of different tasks.
Modeling of neodymium-doped wideband fiber amplifier gain spectrum and numerical simulation optimization based on Matlab genetic algorithm: 1300-1400 nm peak gain maximization
Authors: Lu Yuanjun
Published: September 2023

The gain spectrum of the neodymium-doped wideband fiber amplifier was modeled and simulated by Matlab, and the intelligent optimization algorithm (genetic algorithm) included in Matlab was used to optimize the fiber length and doping concentration to maximize the peak gain (find the optimal fiber length and doping concentration within the set range). According to the set signal optical wavelength range (1300 nm~1400 nm) and the corresponding neodymium ions four-level transition structure, the pump optical wavelength (800 nm) is designed and the four-level structure rate equation and power propagation equation are established, and Matlab programming calculates the change of gain with fiber length, neodymium ions doping concentration and pump optical power. According to the obtained gain curve, it can be inferred that under the parameter range set in this study, the gain of the neodymium-doped fiber amplifier increases significantly with fiber length and neodymium ions doping concentration, while the pump optical power has almost no effect on the gain value.
Research on obstacle-surmounting mechanism of transformable robot
Authors: Cheng Wei , Lai Pan , Yu Muqing , Zhang Bin
Published: September 2023

With the innovation and advancement of technology, the research in the field of transformable robots have shown explosive growth and are moving towards intelligence and diversification. Transformable robots can transform their mobile mechanisms according to different terrains for obstacle surmounting, with high flexibility, strong adaptability, and scalability. Thus, transformable robots are widely used in fields such as reconnaissance, rescue, and military. In this article, the characteristics of different obstacle surmounting mechanisms of transformable robots are analysed. Based on three traditional obstacle surmounting mechanisms: wheeled, tracked, and legged, this article introduces the concepts and advantages of combined obstacle surmounting mechanisms and emerging soft and biomimetic robot obstacle surmounting mechanisms. After elaborating on the current research status and partial applications of composite transformable obstacle surmounting robots, the key technologies and difficulties in the research of obstacle surmounting mechanisms for transformable robots are summarized. In addition, this article provides prospects for the application of transformable obstacle surmounting robots in medical and agricultural fields.
Improved artificial potential field route planning method based on stochastic perturbation
Authors: Liu Xin
Published: September 2023

As a typical route planning algorithm, the APF method has been widely used in robotics, autopilot and other fields. However, it also has weakness in local optimal point. In computer science and mathematics, stochastic perturbation is an accepted approach that can assist optimization algorithms leave the local optimal solution and achieve the global optimal solution as well as improve robustness and adaptability in specific application situations. therefore, the problem can be successfully solved by using stochastic perturbation. In this article, the traditional APF improved through stochastic perturbation. When the robot is running in an APF, the distance between the robot and the target point is calculated at all times. If the distance between the robot and the target point remains unchanged for a period of time or if the stop point oscillates, it is determined whether the robot has reached the target point at this time. If not, it is determined that the robot has fallen into a local optimal point at this time. After completing the judgment, stochastic perturbation is applied to the robot, causing it to jump out of the local optimal point and continue to navigate to the target point. The results of the comparison between the paths generated by the traditional method and the improved method validate the effectiveness of this method.
Path planning for unmanned automaton based on improved artificial potential field method
Authors: Jin Feiyi
Published: September 2023

The artificial potential field method (APF), a highly effective navigation technique, is currently utilized extensively in this area due to the rapid development of unmanned automatons. Traditional APF, however, have several shortcomings, including the issue of unreachable object points and the propensity to sink into local minima that prohibit the automaton from moving on. In this paper, a two-part improved APF model is created to address these issues. First, by including additional constraints, the repulsive field model at the stumbling block is enhanced to address the issue that the object point is impassable when too close a distance between the two stumbling blocks. Secondly, a new potential field is introduced to help the automaton walk out of the local minima. Analogue simulation show that the methods mentioned above can solve these problems better and make the route planning of unmanned automatons come true.
Spacecraft environmental path planning method based on improved artificial potential field
Authors: An Mingyu
Published: September 2023

Spacecraft is the primary means of transportation for human exploration of outer space. With the advancement of science and technology, existing space exploration can no longer satisfy people's desire to explore, in the future, further and deeper space exploration is the goal of development. And the safety of spacecraft navigation in space requires the development of a path planning system. Although there have been many kinds of methods for path planning at this stage, all of them have their strengths and specialize in planning directions, but they also have defects. Based on this, this study improves the traditional artificial potential field method, by adjusting its repulsive field calculation and combining it with the RRT algorithm. The improved method can avoid the local minimum problem of the traditional artificial potential field and generate paths to meet the requirements of spacecraft. The effectiveness of the algorithm is verified by simulation experimental results.
Local minimum enhanced artificial potential field method
Authors: Bai Zhihao
Published: September 2023

Currently, the artificial potential field technique is commonly used in vehicle obstacle avoidance and route planning. However, this method may lead to local minima where the gravitational force and repulsive force are equal during the path planning process, and thus the target location cannot be reached. This paper suggests an approach to enhance the artificial potential field method in light of this. First, the calculation method of the attraction field in the traditional artificial potential field is modified for resolving the issue of unreachable targets. Second, for the local minimum, the path calculation is recovered by modifying the repulsive force range of obstacles and creating a virtual obstacle point, and applying an additional force to get rid of the gravitational force and repulsive force balance. The simulation results check the effectiveness of the designed method, which can solve the cases of unreachable targets and local minima and produce reasonable planned paths.
Improved MTAPF method for autonomous vehicles
Authors: Zhang Yuang
Published: September 2023

Path planning has evolved into one of the most crucial critical studies with the introduction of numerous autonomous vehicles. The artificial potential field approach is being used by many intelligent vehicles to plan their paths, and a variety of autonomous vehicles may avoid barriers depending on their own conditions and the movement of the obstacles. The design of dynamic real-time paths frequently makes use of artificial potential field (APF) techniques. The issue of local minima and unattainable targets in the APF approach is addressed in this study with a better solution. The global optimum path is first determined using the heuristic A-STAR path algorithm in this work, which is combined with the artificial potential field approach. The global optimal path is then divided into many sub-goals to form a sequence. The artificial potential field approach is then used to produce these targets' final routes sequentially, considerably lowering the likelihood that many unmanned vehicles may simultaneously enter a local minimum. The method could avoid the local minima problem and plan a viable path is supported by simulation results.
Key technologies of active distribution networks control
Authors: Luo Jiale
Published: September 2023

Active Distribution Networks (ADNs) are modern and intelligent power distribution systems that integrate renewable energy sources and advanced control technologies to provide reliable, secure, and efficient electricity supply. The traditional power distribution networks are designed to deliver electricity in a one-way flow from the transmission system to the customers. In contrast, ADN enables two-way power flow between the distribution network and customers, allowing them to become active participants in the electricity system. The key technology behind ADN includes advanced metering infrastructure (AMI), Distribution Automation (DA), and energy storage systems (ESS). AMI provides real-time data on electricity consumption, generation, and distribution, enabling efficient load management and demand response. Other key technologies of ADN include renewable energy sources such as solar photovoltaic (PV), Wind turbines and small-scale hydroelectricity. These sources are connected to the distribution network through power electronic interfaces that convert the DC output of the renewable sources into AC for distribution. Smart grid technologies such as microgrids, virtual power plants, and energy management systems are also integrated into ADN to improve grid stability and resilience. ADNs have the potential to transform the electricity system by enabling more efficient, sustainable, and reliable energy systems that can better serve the needs of consumers and society. Thus, ADN is expected to become a critical technology in achieving a cleaner and more sustainable energy future.
Analysis of the cause of power system inertia generation and decline
Authors: Zhu Yanlin
Published: September 2023

Variable renewable energy sources (RES) are becoming more and more common, and traditional power generation plants are rapidly being replaced by them. As RES are used more frequently, power electronics are also utilized more frequently, both to connect RES and as drives for electric motors. As a result, the inertia level of the power system is continuously decreasing, and the frequency stability of the power system is facing severe challenges. Traditional power-generating methods such as thermal, hydroelectric, nuclear, and natural gas use generators to produce electric energy. By utilizing the rotational inertia of the steam turbine unit, the frequency fluctuation trend that occurs in the power grid can be delayed. However, photovoltaic power generation lacks rotating machinery and has no rotational inertia, whereas wind turbines operate at a modest speed and have negligible rotational inertia. The response capability is reduced significantly when the power grid's frequency changes. Any electric power system tends to rely on rotational inertia. The relevant factors impacting the inertia level of the power system are introduced based on the concept of inertia of the power system. The power system experiences inertia from the synchronous grid-connected generation side, the load side, and the grid-connected generation side of the converter. These three sources make up the majority of the inertia in the system. From the aspects of the power generating side, grid side, and load side, approaches and strategies to increase the frequency stability of power systems are introduced.
Benchmarking of cutting-edge wireless power transfer for electric vehicles
Authors: Liang Jiajing
Published: September 2023

Wireless power transfer (WPT), which can transfer energy though magnetic field, electronic field, laser beam, microwave and other methods without wire, provide electric vehicles (EVs) a better prospect. Compared to cars with internal combustion engines, Electric vehicles are more environmental-friendly, and do not need any fossil fuel, which is a ideal transportation in the future, however, for electric vehicles, battery technology is the major barrier: high cost, low energy density and large weight, which make electric vehicles very expensive and difficult to improve the endurance mileage, by applying wireless power transfer technology, using dynamic wireless charging can solve these problems perfectly. This paper reviews basic information of wireless power transfer technologies: four basic classification of WPT, basic compensation networks for inductive wireless power transfer, coil designs to improve the transferring efficiency, and wireless power transfer applications on EV charging, additionally, challenges and potential solutions for wireless power transfer of EV are presented.
A study on the use of digital twin in wind generator gears
Authors: Li Zhixu
Published: September 2023

With the demand for clean energy is increasing, wind power generators are becoming more common. Although the wind power generation industry has broad prospects for development, there are still problems in wind generator maintenance, especially faulty detection and repair. In order to increase the efficiency of maintenance, the digital twin technology can be used. The mathematical model and the fault tree can help to spend less time alarming. In this article, the use of digital twin in the maintenance and faulty detection of wind generators is analyzed. The methods of faulty detection and the model of fault tree in the maintenance of the wind generator are summarized. In addition, a faulty detection method is proposed through YOLOv5. This method can detect the fault without contacting the gears. The database of faulty detection can be optimized as well. This article may offer a reference for digital twin and fault detection in wind generators.
Improved ant colony-based algorithm for solving traveling salesmen problem
Authors: Zheng Zhifeng
Published: September 2023

The purpose of this research is to examine how well the Improved Memetic Continuous Pheromone-based Ant Colony Optimization (ICMPACO) algorithm solves standard Traveling Salesman Problem (TSP) instances in comparison to the basic Ant Colony Optimization (ACO) algorithm and the Improved Ant Colony Optimization (IACO) algorithm. The findings of the computer simulation show that the ICMPACO algorithm has higher optimization capabilities, particularly for the berlin52, eil51, and dantzig42 examples. This superiority is further emphasized through better mean values in comparison to traditional ACO methods. The study also proposes a novel approach, Genetic Ant Colony Optimization (GACO), which integrates ACO with genetic algorithms. Pheromone data is efficiently employed to direct the choice of genetic operation points and maintain the foundational elements within the genetic algorithm. Performance results for various TSP instances reveal the potential of GACO in generating high-quality solutions. These findings suggest that both ICMPACO and GACO methods hold significant promise in addressing complex optimization challenges and could pave the way for further advancements in enhancing optimization algorithm performance.
Image processing based on neural networks
Authors: Yang Boming
Published: September 2023

This article integrates convolutional neural network (CNN) and graph convolutional network (GCN) techniques. Performance is improved by the suggested architecture's use of crucial methods such as dropout, batch normalization, and rank-based random pooling. The network was trained and tested on a sizable amount of breast lesion imaging data, and its precision was evaluated in comparison to other methods. The findings showed a significant increase in accuracy, resulting in high rates of malignant lesion diagnosis with few false positives. The effective fusion of CNN and GCN methods highlights the potential for improving the detection of malignant breast lesions and provides a viable path for further study in this area.
Planar grasp detection using generative multi-column convolutional neural networks
Authors: Yuan Haikun , Huang Haipeng
Published: September 2023

This paper presents an accurate, real-time generative multi-column convolutional neural network for two-dimension planner grasp detection. A multi-column structure is used to improve the ability of the network to extract features of different scales. Three parallel channels with three different reception fields can make the network learn different scales of features, which result in the network is more adaptable to a complex environment. This network overcomes some shortcomings like long computing period and by using a generative method rather than sampling grasping candidate. Our network has short computing time because of its light structure, which can be deployed in some close-loop situations. While training the network, we find that some labels in Cornell database is not suitable for the planner grasping detection training, for some specific labels represent different angel of grasping. By comparison with other models, our models accuracy on Cornell grasping dataset is higher, reaching 94%, and our model runs at 13 frames per second.
Research on occlusion face recognition based on deep networks
Authors: Fu Weichen
Published: September 2023

Based on the spread of the new crown epidemic, the use of masks has been popularized, so it has a significant impact on the development of face recognition under the cover. The study of how to improve the performance of face recognition under occlusion conditions is also an important topic in the field of face recognition in the future. At the same time, the neural network model is one of the most important models in deep learning, in the field of image classification, face recognition based on deep network has also been proved to be an efficient feature extraction method, this paper divides the face recognition method based on occlusion into two categories: local feature class based on non-occlusion area and feature class based on recognition occlusion area; The basic processes of these two types of methods are summarized, and the specific cases of these two types of occlusion face recognition methods are analyzed. Further summarize the advantages and disadvantages of each and elaborate them. At the end of the article, the shortcomings and future development trends of the current shielding face recognition research are summarized.
Comprehensive analysis of current mitigation strategies for non-isolated photovoltaic inverter
Authors: Jiang Yue
Published: September 2023

Out of consideration for sustainable development, photovoltaic power generation system has become a hot research issue in the future energy strategy due to its significant cleanliness and reproducibility. Meanwhile, playing an important role in connecting the PV cell and the grid, the non-isolated photovoltaic inverter not only has the ability to convert energy with great efficiency but also with low loss and cost. In that case, the non-isolated inverter is widely used in the production. However, the leakage current is a big challenge that should be addressed with caution. This paper focuses on the leakage current mitigation strategy and makes a comprehensive analysis of each topology. The author analyses the generation mechanism of leakage current based on the single-phase inverter circuit. After that, the common ground type inverter topology and the H-Bridge type inverter topology will be further analysed for their universal utilization. Specific topologies from the two types of inverters are under comparison based on several perspectives, ranging from the degree of leakage current suppression to the complexity of the circuit structure, from the difficulty of analysis to the economic performance of the inverter. In addition, some improvement measures are proposed.
Gain Maximization of BDFA between the Wavelength of 1700nm to 1800nm
Authors: Jiang Longfei , Ma Lukai , Shao Yubo
Published: September 2023

Fiber optic communication technology is becoming increasingly important in various fields, and high-speed, large-capacity fiber optic transmission systems are urgently needed. The design of fiber amplifiers is influenced by both fiber length and doping concentration. Although the Erbium-doped fiber amplifier (EDFA) is one of the most widely used components in fiber optic communication systems, its working area cannot meet the growing demand for network traffic.This paper presents a new fiber amplifier operating in the spectral region of 1700-1800 nm, pumped by commercially available laser diodes, highlighting the potential benefits of developing optical amplifiers for new spectral regions.This paper constructs a model to optimize gain at the central wavelength by finding relevant parameters, fitting a binary function of gain as a function of doping concentration and fiber length using Matlab, and optimizing the maximum gain using a simulated annealing algorithm. The proposed fiber amplifier has potential applications in telecommunications, sensing, and spectroscopy. The design of the amplifier has been optimized to achieve high gain and low noise figures, which are crucial for practical applications. Furthermore, the amplifier can be easily integrated into existing fiber optic networks, making it a promising candidate for future optical communication systems.
Modeling and numerical simulation optimization for minimizing the gain spectrum of bismuth-doped broadband fiber amplifiers at 1200-1800 nm
Authors: Chen Nan , Zhang Yi
Published: September 2023

Research on optical fiber amplifiers has gotten much more in-depth in recent years as a direct result of the emergence of the information age. The most effective of these materials are optical fibers that have been doped with rare earth elements. Lasers that have gain media composed of rare-earth doped optical fibers find widespread use in fields such as optical communication, medicine, and the processing of materials. For different rare earth ions, especially for bismuth-doped fiber amplifiers, bismuth-doped fiber has a good prospect in fiber amplifiers and lasers due to its unique luminescence characteristics and ultra-wideband near-infrared luminescence of bismuth. Therefore, for bismuth-doped fiber amplifiers, in this paper, the pump wavelength is designed for the signal wavelength range, energy level structure, and electron transition process. The corresponding rate equation and power equation are established. At the same time, the gain spectrum changes with the fiber length and doping concentration are calculated using Matlab programming, and the maximum and minimum gain differences are minimized using Matlab calculations.
Analysis of the development of reusable launch vehicle technology
Authors: Wu Hao , Zhang Zhiyu
Published: September 2023

Nowadays, with the development of the space technology and the maturity of traditional launch vehicle technology, there are sufficient foundations for the research of higher-level space vehicles. As space vehicles gradually enter the commercial market, the demand for better cost control and higher carry capacity has been put forward. The recovery and reuse of space vehicles, especially launch vehicle, often means higher resource utilization and effective cost control, which has unprecedented advantages in business mode. Many countries and organizations have shown concern about the reusable vehicles. In order to facilitate the further research of reusable rocket technology, this article summaries the research and developments of reusable vehicles over the years and sorts out the overall scheme and key technologies of it. In particular, in view of the successful case of Falcon 9, this article analyses the commercialization experience of SpaceX reusable rockets and its business model. This article may offer a reference for the reusable rocket technology development.
Analysis of the creation of idle community space under the background of urban renewal in China
Authors: Cai Qiyi
Published: September 2023

In the era of rapid urbanization, the existing buildings in old communities can no longer meet the living needs of residents, and the community space urgently needs to be updated. The article explores the use of micro updates to create community space and combines participatory creation to analyse the principles of community space creation, including spatial social power, knowledge interaction power, critical thinking power, and local inclusiveness. From the construction mode and process perspective, this paper analyses the renovation case of basement 302 of Wangjing Huajiadi in Beijing. Starting from the needs of residents, problems encountered, and conflicts encountered, and by creating a skill exchange space, a community construction mode of co-creation and symbiosis has been summarized.
Comparative analysis and the prospect of flight control strategies and performance of quadrotor UAV
Authors: Wang Mingjie
Published: September 2023

Quadcopter UAVs are increasingly used for military and civilian applications such as surveillance, reconnaissance, pesticide spraying, and traffic monitoring due to their simplicity of operation, ease of attitude adjustment, and ability to take off and land vertically. The flight control system is the key to the aircraft's ability to perform flight tasks. However, when faced with external disturbances, obstacles, and uncertain parameters, traditional PID control is unable to meet the demands of complex flight tasks. Research on more advanced control strategies is the trend of future development. This paper surveys the flight control methods of quadrotor UAVs in the past two decades and classifies and introduces these methods one by one. Finally, the experimental feasibility of these methods is discussed, the advantages and disadvantages of these methods are briefly compared, and the future development trend of UAV flight control systems is analyzed. An important reference is provided for the development of quadrotor UAV flight control algorithm research.
Applications of CMOS image sensors: Applications and innovations
Authors: Shi Chenhao
Published: September 2023

As semiconductor production processes continue to advance, CMOS image sensors are becoming increasingly popular and are gradually replacing traditional CCD sensors as the mainstream option in the market. Because CMOS image sensors adopt the standard CMOS semiconductor production process, which provides advantages such as low static power consumption, large noise tolerance, strong anti-interference ability, and fast working speed. This article is going to provide an overview of CMOS image sensors and examine their various applications. To achieve this, this article will provide some background information on CMOS image sensors, including a discussion of their structure, components, and working principles. A comprehensive literature review was conducted to explore the characteristics and benefits of CMOS image sensors in applications such as intelligent surveillance systems (ISS), space, and medical. This paper also discusses recent advances in CMOS image sensor technology, namely backside illumination, global shutter, and 3D imaging, and their impact on various industries. Despite the advantages of CMOS image sensors, they still have some limitations and shortcomings. Therefore, further progress in industrial development is necessary to improve the quality of these products.
Small-scale power generation using stationary gas turbine with renewable energy
Authors: Wang Meiqiao
Published: September 2023

This article mainly discusses one of the most important applications of stationary gas turbinesthe small-scale power generation. Micro/Small-scale gas turbines have immense hidden potential due to fuel flexibility, low emissions and maintenance. In recent years, the substantial pressure to address environmental issues has led people to focus more on green technologies, so most of the related applications of micro gas turbines use renewable energy like wind energy or biomass. Small-scale power generation can be applied in commercial and residential areas and areas with worse living conditions, such as rural or remote ones. And it is usually designed to exploit more waste heat for cooling/heating purposes. Anyway, there are still drawbacks exist. These turbines require high angular velocity and advanced electronics that can convert high-frequency electricity. The author surveyed distributed energy generation, biomass power plants and mini/micro gas turbines, some typical examples of small-scale power generation that are also stationary and have combustion processes. This application of stationary gas turbines is relatively more innovative and updated than others, so there are not many reliable researches posted online in recent years. This paper will reference all the researchers who want to work in this field.
Stirling engines for solar thermal energy and residential purposes
Authors: Li Zhengting , Lou Dinghonglun , Pan Junhao
Published: September 2023

The comparison and advantages with other engines and other aspects of Stirling engine in household appliances, to solve the problems caused by existing household appliances, realize the optimization of energy resources and achieve sustainability. A Stirling engine can work in reverse as a heat pump for heating or cooling if supplied with mechanical power. The ultra-low temperature refrigerator using the Stirling engine breaks through the traditional compressor refrigeration method in the noise, efficiency, energy consumption, stability, and other aspects of the long-term dilemma, creating a new situation of technological refrigeration. In the late 1930s, the Philips Corporation of the Netherlands successfully used the Stirling cycle in cryogenic applications. Experiments have been conducted using wind power driving a Stirling cycle heat pump for domestic heating and air conditioning. This paper mainly describes the application of the Stirling engine in household appliances and its advantages. The paper will explore the basic principle and efficiency of the Stirling engine and the use of household appliances.
Crucial analysis of traditional engines versus hybrid engines
Authors: Li Chenhe
Published: September 2023

The hybrid engine is a kind of emerging engine. It can simultaneously use an internal combustion engine and electric motor and other engine driving methods to improve fuel efficiency, reduce pollution emissions, extend the power system's life, improve performance, and have a series of significant advantages. However, hybrids are expensive to sell and maintain, have limited battery life, and can lose their fuel efficiency advantage at high speeds. On the opposite side, the internal combustion engine has a long history of traditional power engines, so it is easier to use, cheaper, and more mature, but it causes more pollution, poor fuel economy, and serious energy loss. These engines are two of the mainstream engines in the market at present. They each have different advantages and characteristics. In the choice of two different types, to combine the needs of users, comprehensive consideration, practical choice in line with the working environment of the engine. This paper aims to compare the advantages and disadvantages of hybrid and traditional internal combustion engines and analyze the reasons for these advantages and disadvantages and the impact of these advantages and disadvantages in detail.
Current development status and application analysis of microelectronics technology
Authors: Liu Pu
Published: September 2023

With the rapid development of microelectronic technology in the 21st century, microelectronic technology has been widely used in various fields, which has promoted various fields and improved the level of industrialization in the world. But there are still many problems, so this paper will introduce the application of microelectronics technology, let readers understand that microelectronics technology has a strong research prospect. The research methods of this paper are as follows. Firstly, the importance and significance of microelectronic technology are described, and the development process of microelectronic technology is introduced. Then its applications in microelectronics automation and microelectronics packaging are introduced. It makes readers understand that there are many application scenarios of microelectronic technology and provides scholars with different research directions. This article will first describe the history of the development of microelectronic technology, and then explain its various applications. The future research directions of microelectronic technology in several industries are also highlighted.
Aerodynamics-based design of the rear wing of a sports car
Authors: Qiu Zihao , Zhang Haoyang
Published: September 2023

The value that people place on a car's performance has increased significantly in recent years. With advances in automotive technology, the performance of racing cars has become a critical factor in their success. The study of aerodynamics has become increasingly important in achieving efficiency and speed in sports cars. Despite the growing interest in a car's appearance, the design of sports cars remains highly focused on aerodynamics. The rear wing, in particular, plays a critical role in the car's overall performance, providing downforce and reducing drag. As a result, designing an effective rear wing is a critical aspect of any sports car design. This article analyzes and compares different rear wing designs to determine which is the most effective. By considering factors such as shape, size, and angle of attack, designers can optimize the rear wing's performance for a particular car and racing conditions. The findings of this analysis can help inform future sports car designs and contribute to continued improvements in automotive performance.
A new design mobile cabin hospital based on the Hoberman sphere
Authors: Hou Shengjie
Published: September 2023

Mobile cabin hospitals have been established in many countries and regions to cope with the spread of the new crown epidemic. The feasibility and convenience of the model are analyzed in the context of practical situations. This paper examines and exploits the collapsibility and convenience of Hoberman spheres, their principles and methods of movement, and the dynamics of the scissor structure, which is the basic unit of movement of Hoberman spheres. The effect of changes in angle as well as the length of the scissor-like structure leading to the size of the sphere is analyzed. It was also studied and analyzed through specific model designs, what materials are more suitable for the lining material. The resulting design for the individual wards of the mobile cabin hospital was constructed from half of the Hoberman spherical shell and covered with protective material inside. The final optimization of the combination makes it innovative. The design objectives were simple, easy to install and transport, and reusable.
Research and expectation on industrial welding robots
Authors: Liu Zizhuo , Wang Junsong , Wu Jiaying , Xing Anqi
Published: September 2023

In the industrial producing field, the robots are gradually replacing the traditional manual works and their development is attracting more and more concern due to their great performance. The welding robot is a kind of typical industrial robot, which has been used in various fields to gradually replace the manual fields because of the advantages like high accuracy, persistent work, and fitness for complex environments. As China is transforming into the industrial powerful country, the demand for industrial welding robots is increasing. It is important to analyse the current development of welding robots. Through the analysis of the current situation of Chinas industrial welding robot industry, this article will introduce the concept of industrial welding robots, analyze the market shares of existing welding robots, summarize the key technologies and conclude the advantages and disadvantages of welding robots, to forecast the future market development of welding robots. This article may provide a reference for the development in future.