bluuebunny/crossref_metadata_2025 huggingface dataset:
Introduction
Authors: Kurt Piehler G. , Trauschweizer Ingo
Published: September 2023

This introduction provides an overview of literature examining war-time reporting in World War II. It considers the tension between American journalists seeking to accurately report the news and the impact of official censorship and self-censorship. Although supportive of the war effort, many reporters strived to avoid being mere ciphers of the American military and often sought to accurately document events as they unfolded. The journalism of Ernie Pyle and the editorial cartoons of Bill Mauldin proved influential in explaining to fellow GIs and the broader public the experiences of front-line combat troops.
Learning and Adapting
Authors: Casey Steven
Published: September 2023

The Phony War period was a time of adjustment and learning for American news organizations. As fighting flared in Poland and then Finland, they had to grapple with changes to communication flows and cable costs, while working out how to cover Blitzkrieg battles that moved much faster than the trench stalemate of the last war. Based on an array of previously untapped archival sources, this chapter looks at the challenges and opportunities faced at all levels of the media, from editors and bureau chiefs to war correspondents. It argues that their responses were important not just for shaping America’s knowledge of the first battles of World War II, but also for the legacy they left, which was then built on when the United States entered the conflict two years later.
Miss Bonney Reporting from the Arctic Front
Authors: Oinas-Kukkonen Henry
Published: September 2023

Miss Thérèse Mabel Bonney, a well-educated American photojournalist, became a war correspondent through a long and unusual process. During the Finnish-Soviet Winter War (1939–1940), she served as a war correspondent on the Arctic front, where she found her photojournalistic style and made her first scoop. Her journey to the Artic front was the first of her documenting trips, later called “truth raids.” During the second truth raid, she returned to the Arctic front in 1942, but this time, she served as a roving agent for the Office of Strategic Services (OSS) on a top-secret mission, undercover as a war correspondent. Her pictures spread from the press to exhibitions on both sides of the Atlantic, highlighting her focus on depicting the distress and resilience of civilians—especially children—at war.
Reporting Reconnaissance to the Public
Authors: Sotvedt Victoria
Published: September 2023

Armoured reconnaissance units were a relatively new development that first saw extensive use during the Second World War. Because of their intelligence gathering role, newspaper reports on reconnaissance units were sparse and often subject to additional restrictions. Both Canadian and American newspapers navigated these restrictions in highly similar ways, despite writing for audiences that varied significantly in size, social culture, and military organization. These strategies included delaying reports, limiting details that could result in unit identification, and adopting a light-hearted tone that helped obfuscate the bigger picture. Ultimately, the need to provide information to the public and reassure them had to be balanced with secrecy to protect troops and operations in the field. This resulted in the high degree of similarity in reports on reconnaissance units, with the only significant difference being that Canadian newspapers increased the frequency of their reports after units were deployed, while American newspapers carried fewer reports after deployment. The many similarities in reporting styles suggest that closer attention should be paid to how information on combat operations was transmitted to civilians and how this information helped shape popular post-war conceptions of military units and the tasks they carried out.
Outstanding and Conspicuous Service
Authors: Edy Carolyn M.
Published: September 2023

This chapter explores how three war correspondents—Iris Carpenter, Lee Carson, and Ann Stringer—outmaneuvered rapidly shifting battlelines and military regulations to become part of an elite group attached to the “Fighting First” Division of the United States Army in the European Theater of Operations. Despite military policies preventing female war correspondents from covering the front, all three women—Carpenter for the Boston Globe, Carson for International News Service, and Stringer for United Press—used their reporting skills, and the military connections these skills earned them, to find and break news so often that by March 1945 their bylines appeared regularly beneath front-page headlines, often internationally syndicated. In 1946, Carpenter, Carson, and Stringer received theater medals from the United States War Department for “outstanding and conspicuous service with the armed forces under difficult and hazardous combat conditions.”
Introduction: Democracy and Genos
Authors: O'Byrne Anne
Published: September 2023

What do citizens of 21st-century democracies value so very highly about generational groups? What leads us to judge attacks on them so wrong and makes us argue that our governments or international institutions have a responsibility to intervene violently to prevent or punish genocidal attacks? Politically speaking, we are committed to government of the people—the demos—so why do we remain so deeply concerned with peoples, a people, our people, that is, with the genos? If the birth of democracy was the displacement of the rule of the tribe or nation, our persistent concern with the genos seems inexplicable. The first chapter of the book elaborates this problem—the genocide paradox
Police and the Carceral Archival Project
Authors: Sojoyner Damien M.
Published: September 2023

This chapter examines the invention of crime and civil disorder as a matter of sociological fact that has to be understood within its proper ideological and material context. The positioning of these fields of study/social facts/normative standards of lived conditions into their context provides a means to understand the precarity of western epistemological traditions via the human project. The construction of crime and civil disorder emanates from a philosophical tradition that is predicated and continues to thrive upon violent dispossession of knowledge production, material resources, and life. The ironic projection of crime and civil disorder onto Blackness can only be understood within the realm of the absurd, and yet, it is one of the primary capacities of rational thought within the western intellectual tradition.
Technology and the Social Sciences as Synergistic Violence
Authors: Sojoyner Damien M.
Published: September 2023

From virtually the moment that computational technology was developed, it has been a central tool for various state archival projects and thus vital to the enforcement of the boundary-making and violence-inducing capacity of the state. The current iteration of state governance via carceral management has been well documented and historized by scholars and researchers of police and policing who have meticulously parsed the manner in which specific technological advancements and data collection schemes have been critical to the refinement and enhancement of the carceral project. Centering the analysis from radical collections housed at the Southern California Library, this chapter offers a meditation upon distillation of study as a critical component of planning and organizing.
Review of unmanned aerial vehicle obstacle avoidance planning based on artificial potential field
Authors: Xing Hanyu
Published: September 2023

With the development and widely use of unmanned aerial vehicles (UAVs) in recent years, the development of efficient path planning methods for automation has become crucial. Obstacle avoidance and path planning are the key components of UAV path planning. This article provides an overview of obstacle avoidance and path planning techniques for UAVs based on the artificial potential field method (APF method). This article begins with the explaining the principles of artificial potential field on this basis discusses its advantages and limitations. The article then summarizes the improvement strategies proposed by previous researchers to address issues like local minimum values and unreachable targets, such as introducing a new repulsive potential energy function, combining APF with other planning methods, and utilizing flow functions. Furthermore, it presents examples of the application and the performance of usage of these techniques in both static and dynamic environments. Based on this, the prospects and developing trend of UAV obstacle avoidance methods based on artificial potential field are foresee, such as combined with DRL and deep learning.
Real-time path planning based on improved artificial potential field method
Authors: Wang Guangyi
Published: September 2023

Nowadays, with the development of robotics-related technology, its applications permeate many aspects of work and life; In product manufacturing and assembly, tech companies switch from manual to robot automation which improves the production volume and reduces the assembly time. In the tertiary sector including health and social work, the robots learn how to interact with people to meet specified requirements. Path planning constitutes a critical module of robotics engineering that aims to provide the optimal solution for the robot to reach its target point. The artificial potential field methods, refers to APF, are widely used to realize path planning due to their simplicity of calculation and effectiveness in obstacle avoidance. However, the traditional artificial potential field method features the local minimum and oscillation, and unreachable target point problems that make it hard for robots to reach the target point. Based on the weaknesses, an improved version of the gravitation and repulsion force function was introduced in this paper. In addition, the concept of safety distance also contributed to the path planning for robots. Through the simulation experiment, it was shown that the improved APF algorithm successfully addressed the local minima and unreachable target point problem, which could navigate robots to arrive at the destination in both 2D and 3D space by avoiding collision with obstacles.
Improved artificial potential field to solve the problem of local minimum
Authors: Jiang Hao
Published: September 2023

The artificial potential field approach is a traditional method that is frequently used for local path planning, but in order for it to be successful, it requires more than unreachable target sites, local minimums, and oscillation difficulties. An enhanced method that is based on discretized sampling was presented as a potential solution to these issues as a result of this information. In the first place, a decision must be made regarding whether or not to enter the local minimum mark. In order to free ourselves from the confines of the local minimum, we subsequently devised a motion that was perpendicular to the direction in which the object was being moved. In the end, a regression search is carried out in order to further hone in on the correct path. The results of the simulation show that this method is capable of efficiently handling the local minimum problem and providing appropriate paths, as demonstrated by a comparison between the conventional method and the enhanced method.
State-of-the-art power factor correction in EV charger
Authors: Zhong Yuchen
Published: September 2023

With the vigorous development of the automobile industry, the exploitation of oil resources has gradually deepened, which has led to the gradual depletion of oil resources. In this situation, electricity has come to replace oil resources in the automobile industry. However, in the charging process of electric vehicles, the use of the efficiency of electric energy is particularly important. If the efficiency is low, then a lot of power is lost in the power transmission line or alternating magnetic field conversion. And an important factor affecting efficiency is the power factor. The traditional AC-DC converter with a full bridge has low power utilization and efficiency, existing studies combine full-wave bridge with other circuits with different functions to form power factor correction (PFC) topologies. And these fundamental topologies continue to develop, derived from the bridgeless, interleaved PFC topologies, etc. This paper reviews the fundamental full-wave bridge PFC topologies and some derived bridgeless PFC topologies and interleaved parallel PFC topologies, including showing their circuit diagrams, explaining the operation principle of these circuits and comparing the advantages and disadvantages of each PFC topology.
Review on short-term traffic flow prediction methods under big data
Authors: Tang Shiyao
Published: September 2023

The goal of traffic forecast is to predict the related traffic situation in the future according to the historical concept. The predicted angle can be divided into short-term prediction and long-term prediction. This method can be used to solve the increasingly serious urban traffic congestion problem, and researchers have proposed a deep learning model to help decision makers in the field of traffic control. It has made great contributions to improving future road capacity and optimizing intelligent transportation services. In this paper, short-term traffic forecast related documents under big data are helpful after sorting out, and the traffic flow data characteristics of intelligent transportation system and related correction methods are analysed. Secondly, it then classifies the applications involved by big data algorithm calculation according to various related principles, and summarizes the prediction accuracy, computational complexity, applicable interval and computation time of each type of algorithm in an overview. According to the relevant data, the combination forecasting model is effectively diversified, and combined with the related combination forecasting, I hope to improve the forecasting accuracy of the future development prospect.
The simulated annealing algorithm was used to find the maximum gain of a Nd-doped fiber amplifier between 1350-1350nm
Authors: Wang Jinda
Published: September 2023

Optical fiber amplifier technology is to incorporate rare earth elements that can produce a laser into the fiber core, and the DC light excitation provided by the laser makes the amplification through the light signal. Neodymium-doped fiber laser was first developed and received much attention early on. Neodymium doped fibers had the highest pumping efficiency around 920 nm, 1060 nm and 1350 nm. The simulated annealing algorithm belongs to a stochastic optimization algorithm, which is mainly used to find the optimal global solution of the objective function. The author considers that this algorithm can be used to find the full capacity of the fiber amplifier, that is, a new method to find the full capacity, to develop new applications of this algorithm. In this paper, the fiber length and doped concentration were optimized to calculate the maximum power of the neodymium-doped fiber amplifier 1250-1350 nm by using the Matlab modeling and simulated annealing algorithm. The gain was most significant at a fiber length of 2.4 m and a doping concentration of 3.2*(10^25). The maximum profit is: 53.2182dB.
Modeling and numerical simulation optimization of output spectrum of thulium-doped broadband fiber optic light source
Authors: Peng Saize
Published: September 2023

In this research, the performance of thulium-doped fiber lasers is analyzed and a mathematical model is established. Thulium-doped fiber amplifiers are the focus of this article. A large number of simulations have been carried out in the MATLAB simulation environment, and the main work and innovation points are as follows: firstly, the energy level structure characteristics of thulium were studied, and its spectral characteristics were analyzed. After consulting some information, 3H4 to 3H6 energy level has been selected in modeling. Secondly, use the rate equations and the power propagation equations to provide a theoretical analysis of the pumping mode of thulium-doped fiber lasers. And a mathematical model of a thulium-doped fiber laser was established. The parameters such as fiber length and doping concentration in the model are discussed. Finally, to find the appropriate parameters, the genetic optimization algorithm is used to optimize the fiber length and doping concentration, and then we can get the parameters corresponding to the maximum output power of the thulium-doped fiber amplifier.
Four variants of turbofan, turbojet, turboprop and ramjet engines and their future prospects
Authors: Hu Lichen , Long Feiyu , Xie Borui , Zhuang Xuanzhou
Published: September 2023

A jet engine is a sophisticated machine that has revolutionized the aviation industry. It is a type of internal combustion engine that uses air as its oxidizer and fuel to produce thrust. The third law of motion, which states that there is an equivalent and opposite response to every action, governs how the engine functions. Compressed air is combined with fuel, ignited in the combustion chamber, and then expelled out of the jet engine at a high rate of speed to create propulsion. The development of jet engines has been a long and arduous process, with many different designs and configurations over the years. Early jet engines were inefficient, noisy, and prone to failure. However, technological advances have created more efficient and reliable engines in various applications, from commercial aviation to military aircraft and even spacecraft. The efficiency and reliability of jet engines have transformed air travel, enabling faster and more efficient travel over long distances. This has increased global connectivity, economic growth, and cultural exchange. However, jet engines also have environmental impacts, such as noise pollution and greenhouse gas emissions, which have led to the development of more environmentally friendly engines.
Advanced hydrogen engine for modern transportation industry
Authors: Mao Xinrong
Published: September 2023

Numerous environmental issues, such as climate change brought on by the greenhouse effect, result from the expanding air transportation sector. The internal combustion engine industry faces enormous difficulties due to the dual pressures of energy conservation and environmental protection, making finding new clean energy sources essential. To combat global warming, there is growing interest in achieving carbon-neutral flight. As the globe looks for new solutions to combat climate change and global warming, renewable energy and hydrogen have emerged as the environmental sectors' saviors. One of the key energy vectors for the twenty-first century is hydrogen. Particularly in the transportation industry, hydrogen as an energy carrier has the potential for sustainable development. Compared to other internal combustion engines, a hydrogen-fueled engine has the potential to produce significantly cleaner emissions. Based on the prediction of its future development direction, this paper focuses on the latest advances and challenges of the hydrogen engine, analyzes and summarizes the current research status of the hydrogen engine, and looks forward to its future development.
Working principle and application analysis of phase-locked loop
Authors: Li Jincheng
Published: September 2023

This article analyzes the current research status of phase-locked loops (PLLs) from multiple aspects. The working principle and components of PLL are discussed in detail, including the feedback controlling mechanism, clock skew generation and elimination, and frequency multiplication. The main components of PLL, including phase detector, low-pass filter, and voltage-controlled oscillator, are also explained in the following parts. The article further explores the applications of PLL, such as frequency synthesizers and clock and data recovery, and the challenges faced in designing PLLs. These challenges include the need for new architectures and advanced loop filters and improved phase detectors. Finally, the prospects and potential developments in PLL technology will be given. The paper will first present a comprehensive review of recent advances in PLL research, focusing on both the theoretical and practical aspects of PLL design and application. Then highlight the innovative approaches proposed by researchers to address the challenges associated with PLLs, including new architectures, advanced loop filters, and improved phase detectors.
Current status and prospects of adaptive PID control in spacecraft attitude control
Authors: Wu Siqi , Zhao Xihao
Published: September 2023

Spacecraft attitude control is a precise aspect that requires accurate operation. Adaptive PID control, in this case, could be a promising approach for improving the performance. In order to provide a better comprehension about the adaptive PID control in spacecraft attitude control, This paper will mainly discuss the aspect in current solutions, challenges, and future directions through providing and interpreting the scientific and reliable essays in this area. Several kinds of classic adaptive PID control will be introduced in the paper for their feasibility and applicability. Then, paper will discuss several kinds of limitations faced by traditional adaptive PID control in reality such as the complexity of spacecraft dynamics. To overcome these limitations, this paper will also discuss a couple of machine learning based adaptive PID control proposed by researchers such as fuzzy logic systems. These adaptive schemes can adjust the controller parameters through advanced algorithms to ameliorate the control performance of the spacecraft.
The current status and prospects of transformer in multimodality
Authors: Zhang Yingjie
Published: September 2023

At present, the attention mechanism represented by transformer has greatly promoted the development of natural language processing (NLP) and image processing (CV). However, in the multimodal field, the application of attention mechanism still mainly focuses on extracting the features of different types of data, and then fusing these features (such as text and image). With the increasing scale of the model and the instability of the Internet data, feature fusion has been difficult to solve the growing variety of multimodal problems for us, and the multimodal field has always lacked a model that can uniformly handle all types of data. In this paper, we first take the CV and NLP fields as examples to review various derived models of transformer. Then, based on the mechanism of word embedding and image embedding, we discuss how embedding with different granularity is handled uniformly under the attention mechanism in multimodal scenes. Further, we reveal that this mechanism will not only be limited to CV and NLP, but the real unified model will be able to handle tasks across data types through pre-training and fine tuning. Finally, on the specific implementation of the unified model, this paper lists several cases, and analyzes the valuable research directions in related fields.
Analysis of short-circuit behavior and failure modes in SiC power devices
Authors: Zhu Zihan
Published: September 2023

This essay presents the advantages of SiC power devices, while the short-circuit characteristics limit their development. The device short-circuit will seriously affect the efficiency of the use of the period. When a load short circuit occurs, both ends of the power MOSFET device will be directly connected to the high bus voltage; therefore, the short circuit process poses a great challenge to the device's ability to withstand high voltage, high current, and high junction temperature simultaneously. In this thesis, the short-circuit process of SiC power devices is investigated by designing a detection circuit, and two failure mechanisms of SiC MOSFET power devices are explained through the understanding of the failure mechanism.
Graphene-based anode materials in Li-Ion batteries
Authors: Xie Hanzhong
Published: September 2023

Doubtlessly, one of the most used electric power storage technologies at the moment is the lithium-ion battery (LIB). Meanwhile, in order to meet increasing needs for the present LIB performance, the improvement on the anode materials of LIB is one of the major study approaches. Among a wide range of options like silicon, metal oxides, and other compounds and mixtures, this review will mainly focus on the graphene-related LIB anode materials. By discussing the preparation processes and the electrochemical performance of various types of graphene-based and graphene-coated materials that are used for the anode of LIBs, the improvements of the addition of graphene in other materials have been reviewed, and the patterns of that have been analysed. This review helps summarize the current typical research results of the electrochemical properties of LIB anode materials based on graphene and gives suggestions about the future research focus on this specific category of materials by referring to the comparison of the data reviewed.
Based on the comparisons with various types of transistors to predict the trend of nanotube FETs in the future
Authors: Hong Yunshu
Published: September 2023

With the improvement of new technology in electronic devices and the development of nanomaterials, higher better device performance and more efficient functions of Field-Effect Transistors (FETs) are expected, these require the use of material that has well-performed physical and chemical properties. Carbon nanotubes are a viable alternative, and their popularity is increasing rapidly in recent years. With the decrease in the size of the transistor, the increase in current, and the strength of magnetic and electrical fields, many problems for the creation of destructive and leaky currents occurred. This article mainly aimed to summarize three main FET types and included new carbon nanotube FETs by introducing their basic working mechanism and discussing the difficulties such as the short channel effect, gate-induced drain leakage and contact resistance. It also tries to give a few possible solutions to them which include adding a Lightly Doped Drain or using chemical doping, as well as predict how the potential of FETs in the future at the end.
Design and analysis of a new deployable platform based on scissor-like elements
Authors: Bu Tianhong , Kang Hequn , Zhu Jinyan
Published: September 2023

Conventional lifting platforms have a fixed operating table and due to space constraints, the operator needs to come back up and down to get the appropriate tools and materials. This paper proposes research into the development of lift platforms by using two different scissor-like elements to increase the utility rate of space and the stability of the whole system. Through parametric and kinematical analysis with a practical deployment simulation in modeling software. After analysis, research found that when the lifting platform rises at a constant speed, the speed of the protection net is first fast and then slow. When this mechanism rises, the height of the mechanism increases and the radius of the protection net changes in a circular curve, this study also found this platform is stable and easy to operate. This paper fully illustrates the great potential of this new lifting platform in the field of civil and aerospace engineering.
5G mobile communication systems application in smart cities
Authors: Zhuang Feiyang
Published: September 2023

5G, the fifth generation of mobile communication systems, is expected to bring about a revolution in the world of wireless communication. Its key features include high data transmit rates, low latency, and high system capacity, which make it ideal for supporting a range of advanced technologies and applications. One of the most promising areas of application for 5G is in the development of smart cities. In this article, we provide an overview of the development of mobile communication systems from 1G to 5G, highlighting the key features and benefits of each generation. We also explore the specific features and applications of 5G that make it an ideal technology for building smart cities, including smart driving, smart healthcare, smart energy, and more. Additionally, we explain why 5G is critical for meeting the requirements of smart cities, such as the need for high-speed and reliable connectivity. Finally, we discuss the importance of 5G in constructing smart cities in the future, and the potential benefits that it could bring to society as a whole. With the potential to transform the way we live, work, and interact with our environment, 5G is set to play a critical role in shaping the cities of tomorrow.
The application and value of curved roof in modern architecture
Authors: Hengsheng Lin
Published: September 2023

The roof is an essential component of a building and is sometimes referred to the "fifth facade" by modern architects. It serves as a load-bearing element as well as being a significant aspect of the building's overall appearance. Throughout history, architects have often used the roof as a way to express their own distinctive design ideas. The primary area of research covered in this essay is the application and value of curved roofs in modern architecture. The article will start with the development of curved roofs from modern surface architectural design concepts and architectural science and technology, then select actual building cases to analyze the structure of curved roofs, materials, and design concept, and from the building bionic design, the user's space feeling, and the urban environment, the three aspects to explore its unique value in architecture. It is hoped that this will serve as a reference for future architectural design.
The application of bluetooth technology in the internet of things
Authors: Zhang Jinxiao
Published: September 2023

With the development of the Internet of Things, Bluetooth technology has gradually become one of the most important means of communication between IoT devices. It is a short-range wireless communication technology. This paper summarizes the existing research results and technological applications, and explores the application prospects of Bluetooth technology in the Internet of Things. Firstly, the basic principles and standards of Bluetooth technology are introduced, including Bluetooth Low Energy (BLE) and Bluetooth Classic. Then, the application schemes and implementation methods of Bluetooth technology in smart homes, smart cities, and smart healthcare are explained separately. Finally, this article analyzes the advantages and disadvantages of Bluetooth technology in the Internet of Things, and puts forward future development trends and challenges for Bluetooth technology, such as improving communication distance and transmission speed, enhancing security and privacy protection, etc. This research has a certain reference value for promoting the application and development of Bluetooth technology in the Internet of Things.
Visual SLAM technology for medical
Authors: Chen Shanhua
Published: September 2023

Simultaneous Localization and Mapping (SLAM) is a method to determine the location of a mobile robot in an unfamiliar environment with external information through the information obtained by the sensor and constructs a three-dimensional map of the unknown environment. There are two main types of SLAM: laser SLAM and visual SLAM. Visual SLAM technology uses image information as the only external information source, that is, to use the camera for pose estimation and map construction. SLAM technology using vision as an external information source is a very active research area with many excellent works. In recent years, visual SLAM has been widely used in the medical field, bringing many new methods. This thesis aims to absorb the extensive work on visual SLAM and its application in the medical field, and introduce their latest progress. And discuss the challenges and possible future development trends of visual SLAM technology in the medical field.
A review of link budget analysis of satellite communication systems
Authors: Li Jinbao
Published: September 2023

At present, the link budget of satellite systems has become an essential part of the engineering design of satellite communication systems. Through the link budget, the performance of communication equipment and the loss of signal attenuation and interference during transmission can be comprehensively analysed, and the equipment resource configuration and device parameters can be continuously optimised to meet the user's communication capacity and quality requirements while leaving appropriate margins. This study aims to explore the link budget of the satellite system, study the parameters, channel characteristics and application of the satellite link budget, and provide a theoretical basis and practical reference for the design and performance optimisation of the satellite communication system. Firstly, the research background and significance of satellite communication links are introduced, and the characteristics and advantages of other communication systems are analysed and compared from multiple dimensions. The main factors affecting the link budget, such as path loss, related atmospheric attenuation, and carrier-to-noise ratio, were mainly discussed using the parameter estimation method and comparative analysis. Then, from the perspective of channel characteristics, the critical issues of satellite link budget, including signal-to-noise ratio, code rate and other factors, are discussed. Based on the above research, this paper summarises the performance evaluation of satellite communication systems and provides a reference for practical applications.
The role of locator bracelets in mitigating the risk of abduction and trafficking
Authors: Li Che
Published: September 2023

The issue of missing children and elderly persons persists to date despite increasing security measures and the technological developments exhibited in recent years. This publication explores the significance of GPS-based locator bracelets in mitigating these risks. Children and older adults, due to their vulnerability and limited ability to discern danger, are particularly susceptible to abduction or getting lost, an issue that can be mitigated using locators. The locator bracelets can provide real-time monitoring of their location, ensuring their safety and enabling timely alerts to parents in case of emergencies. The publication also emphasizes the importance of parental attention, especially in todays busy society, where children often commute alone. By adopting locator bracelets, parents can proactively prevent potential dangers and quickly respond to unforeseen incidents. The article presents research findings, highlighting the prevalence of missing cases and the high effectiveness of locator bracelets in safeguarding children and the elderly. Additionally, the publication underscores the affordability, convenience, and peace of mind that these bracelets offer to families. The inclusion of a case study during travel further demonstrates their utility in crowded areas and unfamiliar environments.
Development of charging technology for new energy vehicles
Authors: Yin Xiaorui
Published: September 2023

In the context of a global energy shortage, new energy vehicles are gradually becoming the mainstream trend of future automotive development. The development of fast and safe charging methods will bring a better experience to new energy vehicle users and gradually solve the problem of mileage anxiety for new energy vehicle users. At present, the main charging method of new energy vehicles is wired charging, but this charging mode charging time is slow and due to the external influence of the charging environment, causing the battery to overcharge the cars spontaneous combustion phenomenon, the application of wireless charging and power exchange technology to the future charging technology, wireless charging can bring higher charging efficiency and power exchange technology can bring similar to the fuel car replenishment energy experience. This paper first introduces the meaning of the three charging technologies and analyses their advantages and disadvantages. The three charging methods are described separately for wireless charging technology and compared with each other to arrive at the most suitable for future development. By comparing these three charging technologies, it can be seen that wireless charging technology is more suitable for the development trend of unopened new energy vehicle charging technology, and finally, the difficulties that need to be overcome for the future development of wireless charging are briefly described. This paper has important implications for developing new energy vehicle charging technology and popularizing the use of new energy vehicles.
Analysis of the force of new energy vehicle drive bridge
Authors: Song Jiawei
Published: September 2023

In recent years, the new energy vehicle industry has developed rapidly. As one of the important systems of cars, the research on the driving system of new energy vehicles is also of great significance. This article is mainly for the four typical work conditions of the car-driven axle case: the active conditions, the maximum traction conditions, the operating conditions and the maximum side force of the power of the force of the power of the car. According to the analysis conducted, the evaluation of a car's performance varies depending on its load conditions. When the car carries a full load of static weight, the primary focus is assessing the driving force generated by the axle case. Conversely, when the car operates at its maximum traction capacity, the key aspect under scrutiny is the vertical force exerted by the ground and the tires on the vehicle's exterior torque. In the case of a fully-loaded car, the assessment of lateral sliding primarily involves examining the side force produced by the axle case. Additionally, this article utilizes a concise driver system diagram to analyze the advantageous layout of the drive system in new energy vehicles. The obtained result has important guiding significance for the optimized design of the new energy vehicle drive bridge.
PID control based on machine learning algorithm in robot path optimization
Authors: Guo Shijie
Published: September 2023

Robot path optimization in the robotic arm, robot movement of autonomous navigation and motion control plays a great role, PID control is a traditional, simple and widely used control algorithm. in recent years, machine learning has become increasingly popular, and combining machine learning with PID control has become a potential way to optimize PID control deficiencies. However, the results of the research are scattered in different research teams and different research fields, and in order to integrate the existing research results, we have integrated and analyzed articles from different research teams and research fields. This paper aims to discuss the recent perspectives of robot path optimization based on machine learning algorithms and PID control, summarize the existing problems, research progress and challenges, and put forward the research directions and prospects that can be carried out in the future. In addition, the systematic analysis of research studies contained in this paper helps to consolidate the research results that are still in the final stage and to set the research agenda for future development. This article focuses on robotic arms.
Factors influencing the construction cost of high-speed rail in China and comparative analysis with other countries
Authors: Li Shengzhe
Published: September 2023

In recent years, with the rapid development of the social economy, the high-speed rail industry of all countries in the world has been improved to some extent. In the construction process of high-speed rail, construction cost is very important. It is highly valued by many infrastructure companies or teams. It not only serves as the foundation of the construction process but also can promote the whole project. This paper mainly studies the factors that affect high-speed railway construction costs in China and compares them with other countries. Based on the data, the geographical differences, labor force and technical standards change will have an impact on the cost of the construction, these three key factors deserve to be considered.
Analysis on the mechanical properties of recycled concrete
Authors: Wang Chunmei , Wang Nanlin
Published: September 2023

Recycled concrete consists of cement, water and aggregates as conventional concrete; however, the difference is that the former includes a certain percentage of recycled aggregates to achieve environmental friendliness and economic efficiency. This article would focus on the existed application of recycled coarse (RCA) and fine (RFA) aggregate in concrete manufacturing and observe the material properties, such as compressive strength, shear strength, and slump value with different proportion of recycled aggregate mixed during fabrication. Based on sample results from existed experiments, for different amount of recycled coarse aggregate applied for concrete making, the material property would be varied and the appropriate amount of recycled coarse aggregate applied is around 50% for aggregate proportion (could be different for different type of RCA applied). In RFA section, two main resources of RFA are introduced, which are the wasted bricks and concrete. By investigating related research articles, the conclusion of wasted concrete is better than wasted bricks in making RFA is obtained. Several researches are included in RFA replacement experiments, and the conclusion of RFA replacement is that the proportion should be less than 20% in fine aggregate part. Also, intermediate materials such as fly ash, slag powder and silica fume should be applied to guarantee the cohesive property of concrete product. This article illustrates the hurdles and benefits of recycled aggregate application in current stage, and the prospects of recycled aggregates application in concrete products can be more predictable by analyzing the available experiments
Analysis and application research of mobile robot navigation related technologies
Authors: Fu Yuheng , Zhou Qinyou
Published: September 2023

With social progress and technological development, mobile robots have played an important role in industries, medical care, safety, home and other fields due to their advantages of saving labor costs, reducing personnel work intensity, and avoiding potential job hazards. Especially in indoor environments, such as industrial indoor operations, warehousing and logistics distribution, indoor safety patrols, and other application scenarios, mobile robots have highlighted inestimable application value. Intelligent mobile robot is an important tool in the field of service and automation, and robot navigation technology is an important technology for intelligent mobile robot to achieve self-positioning, robot mapping and path planning. This paper expounds three technologies of mobile robot navigation mapping: visual mapping and positioning, lidar mapping and positioning, and sensor fusion mapping and positioning. After that, the method of path planning of the mobile robot is analyzed. Finally, the application of intelligent mobile robots in factory automation and supermarket guidance is pointed out, and the development trend of intelligent mobile robots is prospected.
Analysis of UAV path planning effectiveness and evaluation index scores combined with urban logistics scenarios
Authors: Zhang Jiawei
Published: September 2023

Using logistics drones for distribution is an optional solution to the problems of saturated logistics industry, insufficient transportation capacity, and high work pressure on employees in real cities. In a realistic urban environment, it is of practical significance to establish a logistics drone path planning model to improve the efficiency of logistics drones by fully considering the multiple requirements of both logistics service parties, such as time and location, and aiming at minimizing transportation costs. Aiming at this problem, this paper analyzes and studies the path planning problem of unmanned aerial vehicles based on the factors that need to be considered in actual life logistics distribution. Firstly, the actual scenario requirements of logistics UAV applications are analyzed and a path planning algorithm for this scenario is enumerated. Subsequently, mathematical models are established from both path planning and customer satisfaction to assess the performance of logistics drones. Then, a comparative analysis of four existing classical path planning algorithms is conducted, and simulated annealing algorithm is used to optimize logistics delivery scenarios for path planning. Finally, combining the mathematical model and simulated annealing algorithm constructed in the previous article, logistics UAV simulation experiments are conducted in urban distribution scenarios and an ideal path planning model is obtained. The work of this article provides a certain reference basis for logistics companies in the application of logistics UAVs and the selection of path planning methods.
Specialized fluid estimation implementation on the FPGA
Authors: Yang Haowen
Published: September 2023

This paper studies the possibility of exploring Field Programmable Gate Array (FPGA) in the acceleration of Computational Fluid Dynamics (CFD). CFD is an industrial analysis tool to estimate the flow of matter. In the previous experience, CFD are most implemented on the conventional CPU, and may accelerate with GPUs in a high-performance computing center. This paper studies the architecture of the FPGA and compared the FPGA to CPU and the application and algorithm of CFD. We studied the previous works from different research and found that CFD occupies a huge advantage on the efficiency of the overall system. FPGA utilize less hardware resources, and usually presents a less computing time and higher throughput of data. So, FPGA is a viable and cost-effective solution for future alternative of the CFD computation with the same cost of constructing a high-performance computing center.
Econometric Modelling of Macroeconomic Interdependencies and the Impact on Nigeria’s Economic Growth Amidst the Covid-19 Pandemic
Authors: Ogunnusi O N , Ajibode I A
Published: September 2023

This paper dwelt on the investigation of the impact of COVID-19 on economic growth of Nigeria with reference to crude oil price, crude oil export and naira/dollar exchange rate as macroeconomic indicators. The pre and during COVID-19 periods were represented by dummy variables (0, 1). Six years of monthly data ranging between 2016 and 2021 were obtained from the CBN and NBS bulletin. The ARDL model was calculated using the e-view programme. The findings revealed a long-term cointegration between the variables under consideration. There was a significant association established in the short term between the lagged dependent variable, exchange rate, and dummy variable at a 1% level of significance. However, the crude oil price had no significant impact on the model over the study period. According to these findings, the government should diversify its focus by investing more in non-traditional sectors, particularly the service and agricultural sectors. Over-reliance on crude oil exports should be decreased, as the pandemic has highlighted the importance of being prepared for unexpected events and having a resilient economy. Nigeria can reduce its vulnerability to external shocks and boost economic growth by researching and developing in other areas. The epidemic acts as a wake-up call to prioritise diversification and resilience in the face of future uncertainties.