bluuebunny/crossref_metadata_2025 huggingface dataset:
An Analysis of Brand Spokesperson Models
Authors: Liu Niandi
Published: December 2022

In today's market, the examples of brands using celebrity spokespersons are increasing in a huge trend. Both international luxury brands and affordable niche brands cannot escape this trend. This has much influence on brands, celebrities, and consumers, both good and bad. For example, the cases of Louis Vuitton using young idol spokespersons in China create huge effects and benefits, and it will be further analyzed in this article. As the use of spokespersons in advertising and brands are spreading out effectively, there is still very limited research on why those celebrity endorsement work. So, the aim of this article is to address the potential benefits and how to strategically solve the negative information of celebrity sources in brands and companies. The main research method is to collect case studies to make marketing comparisons between companies using young idol celebrities and those who do not. Then, analysis of the precious cases to see the extent to which consumers, brands, and celebrities benefit from the Celebrity-Brand Congruence policy. In findings, negative public voice of information on celebrities can harm brands' reputations even if the consumers have already recognized them before. However, in many perspectives, those celebrity endorsements enhanced the effectiveness of the brands' image and likability of celebrities, and indeed they all attract supporters.
The Opposition and Continuation Between Life and Death ——A Preliminary Analysis of  and
Authors: Chen Tianyi
Published: December 2022

 and  are both literary works [1] that have exerted great influence on the views of life and death of their respective nations.  brings people's inexhaustible expectations for life.  embodies the courage of facing death when we are obliged to defend our own country [2-5]. As for Japan, after the  developed the plum chanting culture which was introduced from China to a certain height, the sad thoughts reflected in  and the concept of appreciating the beauty of cherry blossom fall matured gradually [6-9]. Whether life and death are distinct or simply reincarnation, the two peoples' general cognition has taken quite different paths.
Analysis of Online Rumors during Covid-19 Pandemic
Authors: Cui Muting
Published: December 2022

During the Covid-19 pandemic, real and false information mingled. This resulted in audiences being unable to identify correct information and take effective action on it on time. Internet rumors can disturb people's emotions while damaging the government's credibility and reducing social trust. Internet rumors have fast-spreading characteristics, low cost of rumor creation, and strong concealment. It also has distinct structural and content characteristics. Information demand increases during a pandemic, and the public wants more information to safeguard life and prevent disease and has different levels of discernment about information. Rumor mongers create social chaos to achieve economic comeback and pathological psychological factors. The multi-channel development of new media facilitates the circulation of rumors. The legal system's imperfection gives spreaders opportunities to take advantage. These reasons increase the difficulty of regulation. This paper analyzes rumors' linguistic characteristics, causes, and effects. The authors focus on improving users' awareness of the law and responsibility, social media platforms to strengthen supervision, and actively advocating for users' correct use of information and participation in online supervision. Authoritative organizations improve laws to punish rumor makers and provide timely and practical information in three areas of recommendations to govern the spread of rumors and build a healthy online information environment.
Discussion on the mode and path of cultivating innovative talents in pharmaceutical industry
Authors: Qun Chen , Jie Wang , Yue Yang , Lv Daojun
Published: December 2022

In recent years, with the support of the good policies of the national and local governments, the pharmaceutical industry has achieved unprecedented development, but the number of medical science and technology research and development personnel is small, the title structure is unreasonable, the enterprise product development level is low, the product added value is low, the competitive advantage is weak, the lack of independent innovation, based on the development needs of the pharmaceutical industry, Then the key factors and bottleneck problems restricting the development of the pharmaceutical industry are solved in the aspect of talent team construction. On the basis of empirical research, combining with the actual needs of the development of pharmaceutical industry, this paper discusses the specific measures of cultivating innovative talents.
Study on Improving Medical Waste Disposal Charges in the Context of the COVID-19 Pandemic
Authors: Lin Minqi
Published: December 2022

Regarding prevention and control measures related to the COVID-19 pandemic, if healthcare workers are on the frontlines of the battlefield, there is also another, invisible battlefield on which the virus must be prevented from prevailing – the environmentally sound disposal of related medical waste. The charging system for medical waste disposal varies around the world, and the typical case chosen for this research is China’s medical waste disposal. In contrast to many Western countries that chose to adopt co-existent strategies for combating the COVID-19 pandemic, China chose to adopt a more centralized policy, including PCR testing on a community basis, a home-based quarantine method, and government-managed quarantine centers, which led to producing much more medical waste than ever before. However, China does not apply a national standard for medical waste disposal charges, and each local government has different charge systems and management regulations. There are differences in charging methods, management systems, and the nature of medical institutions in the implementation of the charging system. Given the actual situation, the paper puts forward feasible suggestions for government policy at the hospital and technology levels.
Research on User Knowledge Exchange based on Virtual Academic Community : Taking Zhihu for Example
Authors: Lv Shuwen
Published: December 2022

The virtual academic community is currently one of the crucial platforms for communications between domestic and foreign scholars. Besides, it is also significant for academic exchange activities. The essence of virtual academic community is that users can share knowledge, which is also the essence of academic community. The purpose of this paper is to take Zhihu academic community as the research object, in order to clearly elaborate the types and definitions of virtual academic communities and their impact on the efficiency of knowledge exchange between worldwide users.
Research on the problem of comprehensive evaluation
Authors: Chen Zhongxiang , Zhao Huixiu
Published: December 2022

Comprehensive evaluation is a systematic and complex work. It is one of the important means for people to know things, understand things and influence things. It is a management cognitive process and a management decision-making process. It is widely used in the fields of economy, society, science and technology, education, management and engineering practice. Some mature theories and methods have been formed around the purpose and process of evaluation, the construction of evaluation index system, the determination of evaluation index weight and value, the source and processing of data, the integration of evaluation information and the application of evaluation results. This paper mainly introduces the background of comprehensive evaluation, commonly used comprehensive evaluation methods and their advantages and disadvantages, discusses the most critical step in comprehensive evaluation - determination of weights, mainly introduces several methods to determine weights, and analyzes their advantages and disadvantages. In view of the limitations of subjective and objective methods to determine weights in the process of comprehensive evaluation, we use the maximum deviation model to solve the proportion of subjective and objective weighting methods, Make the combination weighting more effective.
The Mechanisms of Spreading Marxist Theory in Yunnan in 1935
Authors: Wang Haoran
Published: December 2022

When the Red Army crossed Yunnan in 1935, the Chinese Communist Party (CCP) formulated a systematic propaganda strategy and chose a variety of vehicles to propagate Marxist theory for different propaganda targets, which achieved a very significant dissemination effect and promoted the development of the democratic revolution in Yunnan, as well as greatly promoted the popular dissemination of Marxist theory.
China in the World Economic Landscape - The World Significance of China's Economic Development
Authors: Ding Junqi
Published: December 2022

Since the reform and opening-up in 1978, the shortcomings of the planned economic system have been gradually improved, and China's economy has been developing rapidly and has made many brilliant achievements. At the same time, with the deepening of economic globalization, China's all-round, multi-level and wide-ranging opening-up pattern has gradually taken shape, and the economic ties between the new China and the world have become increasingly close. Therefore, the continuous development of China's economy is of great significance to many aspects of the world economy and politics. This paper will analyze and discuss the importance of China's economic development to the world from three perspectives: the promotion of China's economic development to the world economy, the significance of China's increased economic strength to the stability of the world pattern, and China's economic assistance to other countries in the context of the epidemic.
Supply Chain Concentration and Green Innovation Activities of Enterprises——An Empirical Study Based on Panel Data of Chinese Listed Companies
Authors: Rong Yueling
Published: December 2022

Today, China is in an important period from high-speed development to high-quality development. Green development and innovation are important ways for many enterprises to upgrade, transform, enhance their competitiveness and achieve high-quality development. Based on this realistic background, this paper takes the panel data of A-share listed companies in Shanghai and Shenzhen stock exchanges from 2008 to 2019 as the research object, and empirically explores the impact and mechanism of green innovation, an important product feature of enterprise supply chain concentration. The results of this paper show that the higher the concentration of the upstream supply chain of listed companies, the lower their green innovation performance, and the negative effect has always existed and decreased. The further discussion found that the highly concentrated upstream supply chain reduces the input of enterprises' innovation activities and innovation strategy decisions, and thus inhibits green innovation. This paper incorporates green innovation performance and supply chain concentration into the same research system, and theoretically extends the scope of supply chain management research, which has reference and important practical significance for enterprises to carry out green innovation activities and improve their supply chain management and green innovation capabilities.
A Review on the Research of Computer-assisted Language Learning in Language Teaching, Social Attitudes and Some Other Academic Circles
Authors: Deng Chenliang
Published: December 2022

With the continuous innovation of online education and the continuous rise of computer assisted language learning (CALL), it is very critical to apply it to social life, especially classroom teaching. However, for present purposes, few studies have systematically commented on how much it has changed social life and research fields other than education, what benefits or defects it has caused to learners, and what attitudes and views nearly all walks of life have towards it. In order to settle this issue, this paper refers to more than 50 literatures and summarizes the research on computer network education and learning in foreign authoritative journals in the past ten years. The main purpose of this study is to review these authoritative theses in order to comprehend (1) the attitudes of students and parents towards the use of mobile application software (2) the impact of tools developed by network technology on language teaching models and methods (3) the impact of computer-aided development tools on second language acquisition, translation, Chinese, philosophy and other fields. CALL has promoted the development of modern education and some other fields, and has been recognized by the society. Last but not the least, this paper puts forward some suggestions for the future development of CALL.
The problem analysis and optimization strategy research of the advertising strategy of the Bilibili platform
Authors: Zhang Ziyang
Published: December 2022

In contemporary society, the Bilibili platform has gained popularity incrementally in the world. Undoubtedly, the advertisement strategies indirectly have such a conducive effort to assist Bilibili in achieving great success. However, there are still some problems in the advertising strategy, which need to optimize the advertising communication strategy. The literature research and analysis method can be properly harnessed to find out the problem of the strategies about the advertisement propagation and address them by supporting many optimization strategies. Unfortunately, there have been multiple issues with the content of the advertisements on the Bilibili platform, such as piracy of the animation, inappropriate content, false propaganda, and fierce competition. The strict supervision of the government might solve that problem, and the supervision can include inventing the monitoring application, universal education, and related regulations or law. Meanwhile, the platform should be capable of investigating the irregular contents of the advertisement. And the consumer should be aware of judging the latent, risky advertisements. To establish a harmonious website environment, many advertisers should consciously comply with the regulation related to advertisement dissemination. By taking the case of the Bilibili platform, the other similar type of industries can acquire constructive experience from this paper, learning how to address the current issue about advertisement strategies.
The Research on the Portrait Sculpture from Ancient Rome and Han Dynasty
Authors: Liu Yiwen , Shen Ruiyi , Weng Jinyu
Published: December 2022

Han Dynasty and the Roman Republic are two prosperous reigns that established huge differences between the content, material, form, and aesthetic preference in sculptural art. Even though many scholars have researched both Han Dynasty and Roman sculptures, not much comparison research has been done yet. In this paper, the study closely examines and compares the artistic style of portrait sculptures from both the Roman Republic and the Han Dynasty to explore the possible cultural and historical reasons for the differences. This paper takes the Head of a Roman Patrician and the Ceramic Figure of a Story-teller as research objects, which come from a similar time period and represent a particular population in relative societies, and according to the results of the study, most portrait sculptures from the Roman Republic represented a specific person, especially higher-class senior citizens or political leaders. Han dynasty portrait sculptures include a variety of objective groups, from ordinary people to the royal class. The difference between economical-geographic conditions leads to the discrepancy between social production mode and philosophical concept, which further cause the various expression of portrait sculpture art. Roman portrait sculpture continues the realistic style of Greek sculpture due to the need for nominatives, whereas Han sculptures emphasize charm and verve instead of specific, realistic features.
Impact of Lockdown Policy During COVID-19 Pandemic on Intimate Partner Violence in Los Angeles
Authors: Zuo You
Published: December 2022

Covid-19 has impacted people’s lives significantly, and it might continue to impact them until people find a way to deal with it indefinitely. In the early stage of the pandemic, when there was no vaccine and COVID-19 had an outbreak, the government decided to implement a lockdown policy to stop the spread. Several questions have arisen, whether lockdown affects intimate partner violence and how it will change after lockdown. This study examined intimate partner violence experienced by people during the COVID-19 lockdowns in Los Angeles. By selecting intimate partner violence data from 2019 to 2022 from Los Angeles crime dataset and using Difference-in-Difference method compare the intimate partner crime counts during different period, the following result is generated. The study shows that intimate partner violence will drop significantly at the beginning of the lockdown and increase as lockdown time increases. Intimate partner violence also increases when the lockdown is over. This study could be used for future policy making and preventing intimate partner violence in case another pandemic outbreak requires lockdown.
Research on Influencing Factors of Online Education under Epidemic Situation Based on Regression Analysis
Authors: Qu Liyang
Published: December 2022

Since the COVID-19 pandemic, large-scale online teaching has officially kicked off around the world. Carrying out online teaching is not only an emergency measure in the context of epidemic prevention and control but also an important opportunity to transform teaching thinking and promote teaching innovation. The study looked at students' responses to online classes in the Indian capital, Delhi. This study used regression analysis and some data visualization methods to conduct statistical analysis of the data. The results showed that students were basically satisfied with the effect of online learning during the pandemic, and the study found that “Time spent on Online class” and “Smartphone” are the main factors to evaluate students' learning effects. According to the influencing factors obtained from the results, the “Government - School - Student” model is proposed to promote the learning efficiency and quality of students, hoping to become an effective strategy to improve students' home learning.
Playing Action Video Games Affects Cognitive Ability
Authors: Ding Yixin
Published: December 2022

The great growth of the video game industry and the massive increase in the number of video game players has prompted extensive research into video games. The varied impacts of video games gaming on cognitive skills, primarily action video game, are reviewed in the article. Different studies were divided into three types: the speed of processing, perception, and attention, in order to explore the neural mechanism behind action video game play. Action video games' effects on users' cognitive abilities can be mainly divided into the impact on low-level sensory pathways and the impact on attention control. Although behavioral experiments have demonstrated superior perception abilities in action video game players, less evidence when it comes to electrophysiology and brain imaging for the same enhancement. Action Video games are widely proven to enhance top-down attention and working memory but have no significant effect on bottom-up attention.
Factors underlying Eyewitness Memory Accuracy: Individual Differences and Confidence
Authors: Wang Tianyi
Published: December 2022

False memory, modulated by factors, such as emotion and semantic information about an event, can impede accurate suspect identification. Negative mood and semantic processing are found to create false memory by establishing associations between events. The associations include confounding the events’ order, mixing the events’ contents, and using schemas that sometimes deviate from the actual circumstances. The inconsistency of emotion while encoding and retrieving information can also cause the failure of recalling correct crime scene details. To increase the value of eyewitness testimony, this review discussed several factors that can impact eyewitness memory accuracy. Lab studies are largely based on individual cognitive differences, the level of confidence made with suspect identifications, and individual cross-cultural differences. High executive functional (EF) availability and high confidence level were found to corroborate higher accuracy of identification across tasks. Individuals from individualistic cultures were found to focus more on central details than those from collectivistic cultures. Additionally, eyewitness memory accuracy can be assessed by the response time of witnesses, which is another powerful indicator of eyewitness memory accuracy besides confidence. The difference in eyewitness memory accuracy between lab studies and reality is a gap in this field. It is recommended to use the two one-sided tests (TOST) to show that there is no statistical association between suspect identification accuracy and memory strength to minimise the gap. This review analysed several factors impacting eyewitness memory accuracy and provided insights into how the lab studies can be applied to the real world.
Autism Spectrum Disorder as a Disorder of Prediction in Sensorimotor Processing
Authors: Niu Kezhu
Published: December 2022

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent social interactive and communicative difficulties and repetitive, restricted behavioral patterns. Previous theories suggested impairments in two distinct sets of core abilities as an explanation for ASD. One is the delayed ability to reflect on others’ mental content, and the other is the lack of the tendency to integrate details to create meanings in contexts. In the current field, there is an emergent explanation to consider ASD as a disorder of prediction. Under this notion, two competing views proposed different accounts for the specific deficits in ASD predictive system. The Bayesian view believes that ASD individuals experience reduced priors and are less reliant on top-down information when making predictions. Alternatively, the predictive error view believes that ASD impairments result from a failure to ignore accidental prediction errors caused by environmental noise, leading to overly frequent updates and less generalizable predictions. Though both views seem credible, no previous studies have comprehensively examined their reliability in empirical evidence. Therefore, the present paper fills in the gap by reviewing the two views and their relevant psychological and neuroscientific evidence with a specific focus on sensorimotor prediction. The major conclusion is that most empirical evidence was consistent with the reduced prior proposal but not the prediction error weighing proposal. Specifically, the ASD population is resistant to reliable contextual priors even though their associative learning may remain unimpaired. In keeping with the reduced prior proposal, the ASD population showed atypical connectivity between brain areas, suggesting insufficient communication of top-down information. Additionally, subjective anxiety during the Bayesian inferential process probably hinders the prediction performance. One possible limitation of the present review is the generalizability of conclusions to the domain of social impairments. Future studies should dedicate to exploring the restrictive conditions on the reduced Bayesian prior and E/I ratio imbalance and the role of anxiety in moderating the predictive process. One practical implication is to promote context-dependent imitations in sensorimotor learning in ASD. This review can provide some insights to future intervention studies and practices for children with ASD.
Problems with Chinese Soccer Development and Corresponding Solutions
Authors: Dai Weiqi
Published: December 2022

China women ‘s soccer has an increasing influence on Chinese football and the notability of the team had risen significantly. However, there is low participation of women in football in China due to several reasons including lack of sports engagement, lack of education in schools, lack of broadcasting of women football, and lack of funds for development. This essay presents numbers of ways can China Football Association, Government, and social media to execute to encourage more participation of women’s soccer. In terms of China Football Association, encouraging more competition can attracts audience and build positive female model to teenagers. As for government, subsiding schools that lack of money for facilities and education. Turn to social media, broadcasting women’s soccer to different platform can allow more people to notice it. Some previous data shows that these ways can effectively facilitate the development of women’s football in China.
New governance model of street vendors from the perspective of employment security for informal employees
Authors: Mu Fangjiao
Published: December 2022

Informal employment is increasingly important in the form of employment in China, and it is fragile and unstable compared with formal employment. With the impact of the COVID-19 pandemic, flexible employment is becoming an irreversible trend, and the employment security of informal employees has become an issue that must be considered. street vendors are an important part of informal employment. This article takes street vendors as the research object, pays attention to the realistic dilemma of street vendors' governance after the "deregulation" in the post-epidemic era, focuses on the deviation between existing practice and policy objectives, and proposes a new model of "Participatory cooperation" for street vendors' governance from the perspective of employment security based on the public policy process in order to provide feasible policy suggestions for optimizing the employment status of street vendors.
Preface: 2nd International Symposium on Communication Engineering & Computer Science (CECS 2022)
Authors: Xu Jianyu , William Pearl
Published: December 2022

This proceeding includes original and peer-reviewed research papers from the 2nd International Symposium on Communication Engineering & Computer Science (CECS 2022), which was held on December 10-11, 2022 in Wuhan, China.

The conference is an international symposium for the presentation of technological advances and research results in the fields of communication engineering, computer science and related topics. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. We warmly welcome prospected authors submit there new research papers to this 2nd CECS, and share the valuable experiences with the scientist and scholars around the world.

CECS 2022 received 146 manuscripts. By submitting a paper to CECS 2022, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the Conference Committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that considered this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript. The Committees of CECS 2022 invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.

Hopefully, all participants and other interested readers will benefit scientifically from the proceedings and also find it stimulating in the process.

Conference Organizing Chair

Wuhan, China
The Application of the Intelligent Learning Assistant based on Automatic Speech Recognition in the International Learning Environment
Authors: Yang Zhongwen
Published: December 2022

Recently, the intelligent learning assistant is applied widely in foreign countries like America, Europe and Africa. However, the accuracy of translation and AI dialogue is not satisfied among the Chinese analogous applications due to the trait of Chinese language. To solve these problems, we propose an application which can translate and recognize user’s questions. Based on Automatic Speech Recognition, we clarify the process to make it more accurate in practical use.
Epidemic Analysis and Prediction of Novel Coronavirus based on XGBoost Algorithm
Authors: Xie Jiaye
Published: December 2022

The sudden outbreak of COVID-19 poses a great threat to the health and safety of people all over the world. Since the outbreak of the epidemic, the number of suspected and confirmed infections in the world has continued to rise. During the period of epidemic prevention and control, it is very important to carry out scientific research quickly, such as finding the source of the virus, controlling the spread of the virus, studying the pathogenic mechanism, collecting data, looking for scientific treatment and prevention and control programs, screening and developing effective drugs, and so on. At the same time, according to the data collected and published by the World Health Organization, it can reflect the response measures in different regions and the number of people found to be affected by COVID. The epidemic situation in COVID-19 is a critical period for major scientific research projects to tackle key problems, and an important stage to win time and save lives. Today, Covid is still rampant, and there are still different varieties. Based on the existing data, the COVID infection model can be calculated to predict the infectivity of new varieties, and different measures can be taken for countries with high mortality or infection rates. The experimental results show that, compared with three traditional machine learning algorithms, the model built based on the integrated algorithm XGBoost has the highest prediction accuracy rate for whether human beings are infected with novel coronavirus, and the accuracy rate reaches 95.6%, providing a non-destructive auxiliary method for biomedical detection of COVID-19.
ICP Algorithm for 3D Surface Registration
Authors: Hu Zhipeng
Published: December 2022

With the development of 3D model applications, we need to deal with more and more mesh data, such as 3D surface registration. In this paper, based on the ICP algorithm, we use approximate processing in the calculation, which greatly simplifies the process and improves the efficiency of the operation. Experiments show that the method can achieve good registration of 3d surfaces.
Study on Identification Method of Chinese Herbal Medicine based on Infrared Spectroscopy Characteristics
Authors: Tang Shiyi , Jue Jiahao , Lin Yifan
Published: December 2022

The identification of Chinese herbal medicines is a key issue in the field of traditional Chinese medicine. Based on the characteristics of Chinese herbal medicines, the classification of types, producing areas, and quality can be realized. However, traditional identification methods of Chinese herbal medicines mainly rely on manual identification methods, which requires a lot for identification personnel with low efficiency. To solve this problem, we study the intelligent method of identification of Chinese herbal medicines by using data of infrared spectroscopy characteristic. To solve this problem, this paper studies the classification of spectral characteristic data of Chinese herbal medicines from unsupervised and supervised learning. Firstly, an improved K-means clustering algorithm based on Gaussian distribution model is established for unsupervised spectral classification of Chinese herbal medicines. This method “over-classifies” the sample data by K-means clustering algorithm, and further classifies the data by Gaussian mixture model, thus realizing unsupervised classification of Chinese herbal medicines. Secondly, aiming at the supervised classification and recognition of Chinese herbal medicines, an improved discriminant analysis classification method based on Gaussian distribution is established to identify different kinds and producing areas of Chinese herbal medicines. Finally, we test our method on two sets of data with and without tagged information, with Chinese herbal medicines in two data sets identified respectively. The experimental results fully verify the effectiveness of the method, especially in the supervised identification of Chinese herbal medicines. We have proved the effectiveness of our designed model through the comparison of various methods and extensive tests.
Research on Location Selection Model of Base Station based on Improved Genetic Algorithm
Authors: Pei Aifei , Qin Shuai , Chen Qi , Lu Wenyuan , Liu Pengcheng
Published: December 2022

With the increase in the number of users accessing the 5G network in the future, how to choose the location of 5G base stations to ensure effective network coverage of the service area, so as to provide reliable communication and transmission services, is a key issue to be considered. By establishing an improved genetic algorithm model, the site planning problem is solved. According to the circular coverage area of the base station, the coverage requirement and the minimum cost optimization goal are completed. First, denoising according to business volume, and finally get 35,915 weak coverage points. The sum of the cost of setting up macro base stations and micro base stations is the optimization goal, and the coverage rate of the weak coverage point is more than 90%, is set as the constraint condition. At the same time, the lethal factor is set in the selection process, and the individuals who do not meet the threshold conditions of the original base station are deleted. The improved operator is adopted in the crossover link and mutation link, which speeds up the running speed of the algorithm and ensures the population diversity and the accuracy of the results. Finally, 689 macro base stations and 269 micro base stations are established, with a coverage rate of 93.51% and an optimal cost solution of 7159. By visualizing the results on the coordinate map, it can be clearly seen that most of the weak coverage points have been covered, which shows that the improved genetic algorithm shows fast convergence speed and good optimal value, and verifies the effectiveness of the model.
Design and Implementation of a Chip Removal Device for Metal Fittings with Adjustable Cleaning Range
Authors: Zhang Qingqing , Wan Zhiqiang
Published: December 2022

The design and implementation of a chip removal device for metal fittings with adjustable cleaning range. The device includes a base, a first motor, a handle, a collecting box, a second motor and a fan. The left and right sides of the upper part of the base are separately welded and connected with the left and right columns, and the left and right sides of the placing plate are provided with a limited position plate The limit plate and the left column and the right column are respectively sliding connection, and the spacing between the two splints on the placement plate can be adjusted, so that the placement plate can be moved back and forth without affecting the fixation of metal accessories, and then the opening operation can be carried out for different positions of accessories, which improves the flexibility of the device in use.
Spatial Vector-based Shape Adjustment Strategy for "FAST" Active Reflecting Surface
Authors: Wang Yue , Xu Jiangtao , Chen Shenao
Published: December 2022

In this paper, we study the shape adjustment strategy of the active reflecting surface of ''FAST'', which requires the determination of the ideal paraboloid and the adjustment of the active reflecting surface under the constraint of the reflecting panel adjustment so that the feed module can receive as many reflected signals as possible. This paper establishes the ideal paraboloid model, the coordinate change equation model and the reflective panel adjustment model. The algorithm mainly adopts the idea of variable step size. Finally, this paper analyzes and calculates the signal reception rate of the working paraboloid and the reference reflecting sphere according to the three different states of the reflecting panel.
Research on Exploding Video Creation Strategy based on Visual Communication
Authors: Xiong Xuanzheng
Published: December 2022

With the rapid development of digital media technology, the form of information dissemination is constantly updated, reflecting the development and progress of the times. Facing the new situation and task, the analysis of the new strategy of visual communication design of communication content is an extremely important link. As a new way of communication, short video has changed the way people get information and socialize. The rise of short video makes the audience gradually develop fragmented audio-visual habits, which in turn affects and changes the production and communication mode of traditional media. Using the theory of communication to analyze, it is not difficult to see the characteristics of communication methods. The era of big data enables communicators to grasp the needs of audiences more accurately and optimize communication methods. More and more mainstream news media have entered the field of short video creation. Creating explosions and detonating traffic is the only way to expand the media's influence, seize the right to speak online and guide public opinion. From the perspective of visual communication, this paper analyzes the audience's media choice and the change of visual center, and gives some suggestions on the creation strategy of explosive short videos.
Research on Student Academic Performance Prediction Methods
Authors: Yan Chenghao
Published: December 2022

Student academic performance prediction can not only detect students' academic problems in advance, but also optimize teaching methods and provide students with personalized teaching methods, considering the complex relationship between academic performance and other factors, this paper uses linear regression and random forest to predict student academic performance.
Optimization of Wing Structure Based on Fluid-solid Coupling and Vibration Model
Authors: Chen Haoqi , Wu Wenna , Wu Yanling
Published: December 2022

With the development of ages, human beings have made more efforts to develop the sky, and aircraft is widely used as the main tool for human beings to set foot in the sky. Therefore, optimizing wing structure is positive for saving resources and improving efficiency. In this paper, by establishing the conventional wing structure model and the wing model after changing its rib density, we compared results based on fluid-solid coupling and vibration mode analysis. It is found that: The wing structure optimization should appropriately increase or decrease the wing-rib aperture (i.e., increase/decrease by 10%) based on ensuring the flight performance of the wing, and it can effectively reduce the overall deformation of the wing and ensure the flight performance of the wing, which provides a valuable reference for the design of the wing structure.
A Review of Research on Deep Learning-based Target Detection Technology for Automated Vehicle Driving Systems
Authors: Li Yuze
Published: December 2022

In recent years, with the rapid development of artificial intelligence technology, major technology companies around the world have strategically shifted their attention to the field of autonomous driving, momentarily pushing the research on autonomous driving to a climax. Target detection is one of the core technologies in the field of autonomous driving. For this reason, this paper provides a research review on driverless technology, deep learning target detection algorithms, and briefly summarizes the difficulties faced by autonomous driving target detection, and then introduces five common current target detection algorithms.
Recent Progress and Future Development in Satellite Communication
Authors: Han Ju
Published: December 2022

In the era of high-speed communication, large-capacity broadband and multimedia personalization, satellite communication has become one of the most special ways of wireless communication. With the rapid development of satellite communication during recent years, many projects, like Oneweb, Starlink, and Telesat have been attempted. Based on higher and higher transmission speed demand, Satellite communication becomes a newly effective supplementation of traditional terrestrial station gradually. After nearly half a century of exploration, started from a live broadcast, broadband satellite constellation represented by Starlink had become mainstream application. The future communication system should be land, sea, and space integration. In this article, the phylogeny of SC, basic construct and some application will be discussed. Consider the specific applications, some challenges and future trend are also the focus. At the same time, the comparison between Satellite communication and terrestrial provision offers a thinking way of communication industry ecology. Nevertheless, the satellite communication system based on radio microwave communication still has some technical development problems and application difficulties, and it is necessary to seek breakthroughs in communication technology and hardware facilities.
Principal and performance analysis of three typical comparators
Authors: Zhang Zuhao
Published: December 2022

This paper discussed 3 innovative comparator topologies proposed in last several years. Depends on the target applications, each of the 3 designs achieved significant performance gains. Compared with conventional design, the comparator with self-calibrating technique has low offset voltage, small die area, low noise, and low power consumption. The comparator with regeneration operating midway realizes dramatically low operation delay with acceptable power consumption.  The comparator with latch structure on amplifier stage implements circuit with high speed under low supplied voltage.
Performance Analysis of Low-Power CMOS Dynamic Comparators
Authors: Fan Jiangfeng
Published: December 2022

This paper studies four structures of CMOS dynamic comparators introduced in recent years. Based on conventional double-tail comparator, a comparator with a tail capacitor prevents output nodes of preamplifier from completely discharging to reduce energy consumption. Another comparator with a cross-coupled pairs achieves the same purpose of the first design. A comparator adds a floating inverter amplifier (FIA) to realize both dynamic bias and current reuse, achieve low energy consumption and be insensitive to the VCM. The triple-latch feed-forward (TLFF) comparator decreases delay conspicuously.
Analysis and comparison of several types of low-power, low offset comparators
Authors: Du Qinghang
Published: December 2022

This paper studies several excellent works of comparator constructions of comparators and compares them with the Double-tail latch-type comparator. Based on the Elzakker comparator, the comparator with a dynamic bias reduced the use of energy by partly discharging the preamplifier's output nodes. Edge-Pursuit Comparator(EPC) demonstrates a new approach to reducing energy consumption by automatic energy optimization. Apart from the designs that optimize energy consumption. Low-Noise Self-Calibrating Dynamic Comparator provides the low-offset feature while in relatively low power consumption.
The Development on Areal Density of Magnetic Recording
Authors: Ge Haowei
Published: December 2022

With the development in magnetic recording, people will seek for higher areal density. To raise the areal density without damaging signal to noise ratio (SNR) and thermal stability, several methods have been proposed after many years of research. This passage will introduce two major approaches, heat assisted magnetic recording (HAMR) and composite media. Besides, the evaluation for two methods will also be discussed in the passage. Apart from these two methods, a new method trapping electron assisted magnetic recording (TEAMR) will also be mentioned in the final of the passage. In conclusion, HAMR is faced with many problems in fabrication, composite media has many improvements to take full advantage of it and TEAMR is promising but costs much nowadays.
Recent Progress on Infrared Detectors: Materials and Applications
Authors: Lyu Xiaochuan
Published: December 2022

It is impossible for human eyes to see infrared radiation, a type of electromagnetic wave with a wavelength that falls between visible light and microwaves. This radiation must be transformed into other physically quantifiable qualities in order to be detected and measured in order to determine whether it is present and how intense it is. Infrared detectors are tools that transform the signal from incident infrared light into an electrical signal output. With the wide application of infrared detectors in various countries, higher requirements are put forward for infrared detectors. In order to further expand the wavelength, improve the resolution and reduce the cost, infrared detectors based on class II superlattices, colloidal quantum dots, silicon-based materials and other new materials and technologies have been developed. In this paper, the development of infrared detectors at home and abroad is reviewed and the new materials and technologies of infrared detectors are reported. limitations and advantages of the current research on infrared detectors are discussed, and the future development trend of infrared detector is prospected. Furthermore, recent progress on IR detectors is outlined. The basic mechanism is introduced. Then, materials nanowire, HgCdTe, HOT and InAs/InGaAs are included. The last but not the least, further applications are displayed.
Modeling and numerical simulation of the gain of a 1310nm praseodymium-doped fiber amplifier
Authors: Chen Zhiwen , Hao Keyi , Xiao Tingting
Published: December 2022

Optical fiber communication is of great importance in information transmission. Increasing the transmission capacity of optical fiber systems is a solution to meet the increasing demand for information, in which rare earth ion-doped fiber amplifiers play an important role. In this paper, the quasi-quadruple-energy structure of  is equated and simplified to a conventional triple-energy structure to improve amplification's efficiency and significance. By exploring the influence of many factors on the praseodymium-doped fiber amplifier, the amplification band with gain window between 1250-1350nm is verified, and the amplification of the central wavelength of 1310nm is realized. It provides a theoretical reference for the subsequent application of praseodymium-doped fiber amplifiers in communication engineering, laser amplification and other fields. Since the amplification band of praseodymium-doped fiber amplifier matches the zero dispersion point of 6.652 optical fiber, it will have a huge application market in the 1310nm optical communication system.