bluuebunny/crossref_metadata_2025 huggingface dataset:
Can AI See Bias in X-ray Images?
Authors: Szankin Maciej , Kwasniewska Alicja
Published: December 2022

Article
Can AI See Bias in X-ray images?

Kwasniewska Alicja *, and Szankin Maciej *

1 SiMa Technologies Inc. 226 Airport Parkway, Suite 550 San Jose, CA 95110, United States
2 Intel Corporation 16409 W Bernardo Dr Suite 100, San Diego, CA 92127, United States
* Correspondence: alicja.kwasniewska@sima.ai; maciej.szankin@intel.com
 
 
Received: 8 November 2022
Accepted: 13 November 2022
Published: 22 December 2022
 

Abstract: Recent advances in artificial intelligence (AI) have shown promising results in various image-based systems, improving accuracy and throughput, while reducing latency. All these factors are crucial in healthcare and have generated increased interest in this technology. However, there are also multiple challenges integrating AI in existing systems, such as poor explainability, data imbalance and bias. These challenges affect the reliability of the neural networks used in AI applications. The limitations may significantly affect the quality and cost of medical care by introducing false positive diagnosis. The false positives subsequently lead to increased stress in patients and necessitate additional testing and procedures. Lack of rich data representing all socio-economic groups can also undermine reliable decisions for underrepresented groups. Although various studies discussed techniques that may help with bias mitigation, to the best of our knowledge, no practical experiments have been conducted so far that compare different reweighting approaches using convolutional neural networks (CNN). This work focuses on in-depth explanatory analysis of chest X-ray datasets to understand and quantify the problem of class imbalance and bias. After that, various topologies of binary classifications are compared, followed by practical applications of loss reweighting techniques and comparison of their influence of privileged, underprivileged, and overall population. Experiments proved that high classification accuracy can be achieved using an efficient model topology suitable for embedded devices, making it possible to run locally without the need for cloud processing. Preliminary results showed that performance of the model for the underprivileged class can be improved by 15% if proper weighting factors are obtained and applied during the training procedure.
Suzbijanje trgovanja ljudima - neki materijalnopravni i procesnopravni aspekti
Authors: Brđanović Tomislav , Supančić Goran
Published: December 2022

U radu se, u materijalno-pravnom dijelu, razmatra pitanje odnosa kaznenog djela trgovanje ljudima s drugim, srodnim i povezanim, kaznenim djelima s teorijskog i praktičnog aspekta, u svjetlu domaće sudske prakse i prakse Europskog suda za ljudska prava. Prikazuju se podaci o broju predmeta za ovo kazneno djelo pred hrvatskim sudovima, kao i ishodi postupaka, s naglaskom na pitanje kažnjavanja, u pogledu utvrđivanja olakotnih i otegotnih okolnosti. Upostupovno-pravnom dijelu rada autori se bave pitanjima učinkovite istrage predmetnog kaznenog djela s aspekta konvencijskog i prava Europske unije te domaćeg pravnog okvira. Naglasak se stavlja na učinkovitu istragu s gledišta žrtve kaznenog djela. Daje se i kratak prikaz odluka Europskog suda za ljudska prava u predmetima kaznenog djela trgovanja ljudima s naglaskom na zaključke tog suda u pogledu procesno-pravnog aspekta odredbe čl. 4. Konvencije za zaštitu ljudskih prava i temeljnih sloboda.
Analysis of the transmission of international breaking news on social media platforms from the perspective of Tipping point Theory -- Taking the assassination of former Japanese Prime Minister Shinzo Abe as an example
Authors: Qi Hanyu
Published: December 2022

Malcolm Gladwell's "Tipping Point" theory has been widely used in analyzing epidemic phenomena since its inception. The theory's core is the three laws of popularity: the law of the few, the stickiness factor, and the context power. Previous studies have proved the explanatory power in the context of Internet communication. On July 8, 2020, former Japanese Prime Minister Shinzo Abe was assassinated in Nara. The incident spread rapidly on Weibo and became a phenomenon. This paper introduces the Tipping Point theory and studies the case to summarize the mechanism and principle of international flash news dissemination on social media platforms and explore the experience and enlightenment for future communication. What is discovered is that with the dissemination of international breaking news on social media, the "mavens" journalists shift from the frontstage to the backfield, forming a "journalist-news organization" mechanism with both "mavens" and "connectors" roles, which directly triggers the epidemic. Influencers with a considerable fan base work as salesmen, forming a communication mechanism where "salesmen" take the center and spread out, and new salesmen appear at key nodes to continue to spread, which has the possibility of continuously exploding. The research on the "stickiness" of events discovered that the content framework and dynamic reporting mode combining photographs or videos with text could help increase users' attention to news events and spread enthusiasm. The study of context power found that the objective social environment greatly influences the spread of events, directly affecting the public's sensitivity to events.
A Review of the Research on the Mechanism of Strategic Leadership at the Organizational Level
Authors: Shao Lingling
Published: December 2022

In the more competitive business landscape brought about by the rapid development of globalization, strategic leadership has become the key to the long-term success of enterprise organizations, which has attracted extensive attention in the field of practice and research. It is not only now, but will always be an important and hot research field. In the development of social economy and the excellent enterprise, for enterprise leadership is crucial to the success of the strategy implementation, and strategic leadership as a combination of strategy and leadership functions, is more important, among them, we analyzed the strategic leadership performer refers to as an organization is responsible for determining the development direction and long-term development goals and promote the goals of top managers. Through the review and summary of relevant literature on strategic leadership, this paper discusses the effects of strategic leadership from different perspectives such as positive organizational behavior perspective and ambivalent learning theory, and actively introduces the theory of harmonious management to make up for the deficiencies of existing research on strategic leadership. Finally, the future research direction of strategic leadership is prospected, and my own views and suggestions are put forward, aiming to provide reference and guidance for the subsequent research.
Quality Evaluation of Medical Insurance Management in Public Hospital – The Case of a Hospital in Hebei Province, China
Authors: Ping Cuicui , Regua Orlina Ursula D.
Published: December 2022

This paper studied the establishment of a quality evaluation system for medical insurance management in a public hospital in Hebei, China, as an example. The paper used the analytic hierarchy process (AHP) as well as the balanced scorecard approach, and the model developed suggests that the hospital should pay more attention to the patient perspective when evaluating the quality of medical insurance management.
Research and Optimization of Higher Education Based on Fuzzy Evaluation
Authors: Zhang Siyuan , Zhao Yiyi , Zhang Ziyang , Zhang Qingchen , Zhang Ruofei
Published: December 2022

Higher education is an important part of citizenship education in a country. In order to accurately assess the health of a country's higher education system, we established a CFQR model, which can evaluate the health of any country's higher education system. At the same time, it determines the cost, equity, education system, scientific research level of four first-level indicators, determine the second-level indicators to study its nature and function. We found that the health of the higher education system is composed of multiple target decision, and the index quantification and calculate its weight, combining the evaluation results with weight, get comprehensive evaluation score a, and set the corresponding evaluation grades in the end, we analyzed the possible problems in the reform process, the reforms are very difficult.
A Case study on economic development and traditional culture protection: Taking the Oroqen as an example
Authors: Dou Jingtong , Han Yimin , Duan Guijun
Published: December 2022

As a unified multi-ethnic socialist country, economic growth and traditional culture preservation in ethnic minority regions have always been the main objectives of China's economic and cultural construction. Due to a number of issues, including historical reasons, a humanistic environment, and geographic circumstances, the Oroqen people have lagged behind in terms of both economic and cultural industry growth. The traditional culture of Oroqen is rich and diversified, including aspects of food, costume, hunting, and religion. Economic innovation and progress are necessary for the preservation of minority cultures. The so-called innovation is to use distinctive national culture of Oroqen to produce economic value. This paper presents the Oroqen culture, illustrates the obstacles of preserving traditional culture, and explores how to use the traditional culture and the advantages of the ethnic group to develop the economy. It also covers how to use the financial benefits to help the Oroqen people in maintaining their ancient culture.
The Impact of Fan Culture on China’s Film Industry
Authors: Yang Qingting
Published: December 2022

This paper discusses the impact of fan culture on the Chinese film industry. The continuous advancement of technology has changed the nature of ‘fan’ culture, which is now a daily presence in public life and, both directly and indirectly, exerts influence on the mass entertainment industry. A new, distinctive industry that has emerged from this new culture is fan films, or commercial films oriented toward a specific ‘fandom’ and that seeks to take advantage of a franchise’s cultural capital, reaping the benefits of fan attention. The ‘fan film’ model has even begun to influence the Chinese film industry, with films featuring certain idols gaining automatic support from a large number of fans, regardless of film quality. However, public opinion of these films is often polarised, For the main audiences of commercial and fan films, they will think that these movies that meet their tastes deserve a high rating. But there is also a part of the movie-viewing group that thinks the production and content of these movies are not sophisticated and deep enough to deserve a good rating. To understand this complex phenomenon, a deeper look into fan culture is necessary, specifically its characteristics, impact on the film industry, and how the film industry in turn manipulates fan culture to its benefit. This study will therefore seek to see how movies, stars and fans work together to promote China’s film industry using both sociological and communicative analysis.
The Influence of Social Platform Privacy on Self-Construction and Public Opinion Tendency -- Sina Weibo and WeChat as Examples
Authors: Zhou Siyuan
Published: December 2022

In recent years, a number of social events have attracted widespread attention on various different social media platforms. Among them, the public perceptions of the same event are different on different media platforms. Because of the different privacy of different social media platforms, they have different degrees of influence on the self-construction of users, the composition of interpersonal relationships on social media platforms, and the tendency of public opinion on social media platforms. This paper focuses on two different social media, WeChat and Weibo, and examines the reasons for the phenomenon of "WeChat being silent and Weibo being active" from the perspective of their functions and characteristics and investigates the impact of this phenomenon on public opinion tendencies. This paper concludes that people are more neutral and conservative in commenting on socially focused events on social media platforms where privacy is disclosed to easy acquaintances because of the psychology of building a positive self-image, but on social media platforms with fewer acquaintances, people do not need to be responsible for their own statements, so they are less burdened when speaking, and therefore their statements have more obvious tendencies. Under the influence of this tendency, social media platforms with more privacy will have a more conservative opinion tendency and vice versa, a more aggressive opinion tendency.
Experience and Policy Analysis of Singapore's Talent Construction
Authors: Liu Yicen
Published: December 2022

The fundamental source of national scientific and technological innovation lies in talent. Only with a high-quality talent team can countries win in the fierce competition of globalization. Since its founding, Singapore has attached great importance to talent development, formed a sound talent policy system, and made remarkable achievements in science, technology, economy, culture, etc. relying on the talent feedback effect. It is of great significance to promote the flow of global innovative talents. From the perspective of policy science, this paper mainly analyzes the top-level design of Singapore's talent work, the local training of science and innovation talents, the policy of attracting overseas talents and the promotion of soft environment, and summarizes the evolution logic of Singapore's talent policy. At the same time, it analyzes the effectiveness of Singapore's talent policy by comparing the cases of many countries. The research finds that Singapore's talent policy has played a role in promoting industrial development and building a clean government, making Singapore break through its development shortcomings and become one of the most developed countries in the world. On this basis, it provides policy enlightenment for developing countries to accelerate talent construction.
Current Situation and Hotspot Analysis of Blended Teaching based on Bibliometrics
Authors: Xue Yuqian
Published: December 2022

With the rapid development of information technology and data science, blended teaching has received widespread attention. It has both the dual advantages of offline traditional teaching and online learning, and its flexible organization, diversified resource forms and interactive ways are favored by many educational researchers at home and abroad. In order to understand the development status and hot spots of blended learning more intuitively and clearly, this paper takes the research papers of blended learning in the recent ten years from the Web of Science database as samples to quantitatively analyze the literature quantity distribution and development situation of blended learning. The bibliometric tool CiteSpace was used for visual analysis, and the evolution trend of blended teaching research content was sorted out by keyword co-occurrence analysis and cluster analysis. This paper further summarizes the development hotspots of blended learning.
Analysis and Visualization of Streaming Media Platforms Based on the R Language——Take Netflix as An Example
Authors: Gong Xiaoshi
Published: December 2022

[Objective] This paper aims at finding the business content provided by Netflix through data analysis and discovering the conditions of the industry.  [Methods] Netflix is selected as representatives of video platforms. R language is the core tool used for data analyzing to show various characteristics in content provision. [Results] Today's streaming media technology continues to develop rapidly, and many streaming media platforms focus on the richness of content. [Conclusion] Mastering the content of resources helps to achieve a more accurate recommendation, so as to retain users, and it can also be a reference for the development of streaming media in China.
Analysis of album comments based on NetEase Cloud Music
Authors: Wang Dongfang , Huang Cheng
Published: December 2022

This paper aims to explore the user's comment behavior and the user's emotional tendency towards each song in the album. In this paper, the comments in the Netease Cloud Music are taken as the analysis objects, and Python is used as a tool to crawl data, clean data, segment words, generate themes, and analyze emotions. Finally, visual analysis is carried out through R language.
Innovation and dissemination of Henan TV's "Wonderful Tour" series in the context of new media
Authors: Zhu Yilin
Published: December 2022

Henan TV's "Wonderful Tour" series of programs has frequently been out of the loop, opening a new chapter in traditional cultural programs. It is a clever fusion of traditional culture and modern technology, based on traditional culture and historical facts, empowered by technology, broadening the means of communication and dissemination, so that more young people like traditional culture, bringing inspiration to the heritage and dissemination of traditional culture in Chinese cultural programs.
The Application of modern multimedia Technology in English Teaching
Authors: Tang Lijia
Published: December 2022

In order to improve students' interest in English teaching, the author puts forward the research hypothesis that the new method of teaching assisted by multimedia technology can stimulate students' interest in reading and improve their reading level, and verified by experimental study. The experiment takes two parallel classes taught by the same teacher in grade two of A middle school in A city as the research object. Before the experiment, a questionnaire was sent to the teachers to understand the effects of multimedia technology and the main reasons affecting their reading level. Through classroom observation, interview, questionnaire and other methods, statistical methods were used to analyze the reading scores and comprehensive language ability test scores of the two classes, the results showed that before the experiment, there was very little difference in English scores between the experimental class and the comparison class, the average score of the experimental class was only 0.3 points higher than that of the comparison class, and the P value was greater than 0.05, indicating that there was no significant difference between the two samples. But after a semester of changes in teaching methods, the results show that, although the English scores of the two classes have improved, the English scores of the experimental class are 1.97 points higher than that of the comparison class, and the P value is less than 0.05, indicating that there is a significant difference between the two samples. It is proved that the application of multimedia technology to the new teaching method can improve students' interest in learning and reading level.
Research on the impact of digital inclusive finance on the quality of life of residents
Authors: Yin Huiling
Published: December 2022

In recent years, digital inclusive finance has developed rapidly, which has a certain impact on alleviating relative poverty and improving the quality of life of residents. Based on the county data from 2014 to 2019, this paper takes 40% of the average resident disposable income as the relative poverty line, and the samples are divided into relatively poor counties and relatively non-poor counties. The fixed effect model and intermediary effect model are used to empirically test the direct and indirect impact of digital inclusive finance on the quality of life of Chinese residents. The results show that digital inclusive finance has a significant effect on improving the quality of life of all residents. Later, the research will focus on relatively poor counties and find that digital inclusive finance can improve the quality of life of residents in relatively poor counties by promoting the transmission path of county economic growth.
Preface: 2022 International Conference on Media, Art, Management and Educational Engineering (MAMEE 2022)
Authors: Galsworthy Maria , Zhang Wen
Published: December 2022

We are so delighted to announce that 2022 International Conference on Media, Art, Management and Educational Engineering (MAMEE 2022) was successfully held in Vienna, Austria during October 15-16, 2022. The conference aimed to provide a platform for interdisciplinary cooperation and communication for young scholars to lighten academic atmosphere, encourage innovation, create cooperation opportunities and boost young scholars' growth.

About 90 participants from academic, high-education institutes and other organizations took part in MAMEE 2022. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.

With the forum based on the display of the frontiers, we invited well-known experts and scholars at home and abroad as well as the outstanding youth to deliver academic reports. It is expected that MAMEE 2022 can provide a free academic atmosphere to encourage our distinguished guests to share their views, ignite new ways of thinking and harvest new ideas. This international academic conference aims to further promote exchanges and cooperation, to play an active role in improving academic standing and international influence in the areas of mass media, new media, art design, public art, management system, human resource management, distance education and educational engineering as well as shortening the gap with the top subject in the world.

MAMEE Organizing Committee

Vienna, Austria
Reform and practice of biochemistry experiment teaching under the background of industry-university-research integration
Authors: Tan Congping , Meng Wu , Ding Feng
Published: December 2022

Biochemistry experiment is a basic experiment course that transforms biochemistry knowledge into practical operation, which plays a vital role in training students' hands-on practice and scientific research accomplishment. In order to cultivate students' comprehensive ability (innovation ability, practical ability, problem analysis ability and problem-solving ability), and change the drawbacks of traditional teaching, we give full play to the role of industry-university-research integration in biochemistry experimental teaching. Relying on social resources and professional forces, the curriculum system is designed together, the curriculum experiment is modular, and a large experiment of subject inquiry is formed. Furthermore, the competition should be included in the biochemistry experiment teaching to stimulate students' interest in learning and cultivate students' comprehensive ability.
Application of Internet +3D printing technology in the construction of English teaching platform
Authors: Tang Lijia
Published: December 2022

In order to explore the application of Internet +3D printing technology in the construction of English teaching platform, the author first elaborated the concept of teaching, then, based on learning theory, "learning by doing" theory and activity theory, a framework of learning activity design in the application of 3D printing technology in teaching is constructed. Compared with the traditional teaching model, the Internet + flipped classroom teaching model can make full use of the fragmentary learning time before and after class, task-based teaching activities should be carried out in face-to-face teaching classes, but they should be properly applied according to different teaching situations in order to exert their effectiveness, for example, in the teaching of "3D printing technology" in the course of "Mechanical Engineering English", according to the learning situation of higher vocational students, the knowledge points with low memory and difficulty should be placed before class, difficult knowledge points, task-based teaching activities and laboratory observation and operation activities are put into the class for "partial flipping", supplemented by after-class expansion, so that students can grasp knowledge and skillfully use skills.
A Study of Chao Meng-Fu's Saddle Horse Painting from the Perspective of Ethnic Integration
Authors: Ma Xiaolin
Published: December 2022

The Yuan Dynasty was a period of multi-ethnic, multi-cultural, mutual exchange and integration in Chinese history. As a Han official who served in the Yuan Dynasty, Chao Meng-Fu's artistic style not only inherited the orthodox Chinese culture but was also inevitably influenced by the culture of minority groups in the Yuan Dynasty due to his political identity. This paper attempts to start from an ethnic perspective, select the theme of saddle horse painting, which was more popular among ethnic minorities, and study the relationship between the evolution of Chao Meng-Fu's saddle horse painting style and the great ethnic integration of the Yuan Dynasty, to understand the relationship between the transformation of Chao Meng-Fu's artistic style and social development, and thus peep into the cultural and artistic development under the background of ethnic integration in ancient China. To the research results, Chao Meng-Fu's early artistic career mainly consisted of learning and inheriting the traditional culture of the Central Plains, but after joining the Yuan Dynasty, his saddle horse painting and artistic thoughts were influenced by the culture and arts of different ethnic groups, in the context of the integration of various ethnic groups in the Yuan Dynasty, eventually formed an artistic style of "simple brushwork and divine spirit with high intention," thus contributing to the development of ancient Chinese art from the perspective of artistic development. The author hopes that through this research, it can provide some contributions to scholars who study this field in the future.
The Research on the Communication Strategy of Food Short Video in the Vision of Communication Psychology
Authors: Ji Bingjie , Yin Kaiyi , Zhu Chenhao
Published: December 2022

With the development of new media application technology, the relationship between short video and communication psychology also has a certain influence on communication strategy. The existing short videos have problems such as poor continuity of work series and short life cycle of videos. To optimize the existing communication strategies of food short videos and put forward insights for the user psychology research of food short videos, this paper analyzes the user preference communication strategies from the perspective of food short videos and the perspective of communication psychology. This paper adopts the questionnaire survey method and the in-depth interview method. To the research results, the viewing motivation of food short video users is mainly leisure entertainment and relaxation, and the content preferences include funny light comedy and pastoral style, etc. Users attach attention to the clicks of videos and hold a high desire for interaction. The "explosive point" characteristics of food short videos are close to life and full of new ideas. The optimized communication strategy should grasp users’ preferences and improve the interaction frequency, to obtain a more significant communication effect.
Literature Review on the Depression and Anxiety During the COVID-19 Quarantine Period
Authors: Li Miao , Liu Yixian
Published: December 2022

Covid-19 has been spreading throughout the world, having a significant impact on people’s lives. Many countries have used quarantine policies to effectively limit the spread of disease. However, each coin has two sides. This policy is expected to have an adverse effect on people’s psychological health because it isolates them at home. This paper aims to review studies on how this policy has caused depression and anxiety in various countries. Most countries conduct surveys to assess participants’ mental health. The findings show that depression and anxiety are positively related to COVID-19 and different demographic groups feel negative emotions to a varying degree during the quarantine period. At last, it is important to take into account how proper governmental actions, social assistance, and self-help techniques can assist people to cope with unpleasant feelings.
The Effects of Mood and Valenced Information on Semantic Memory Retrieval
Authors: Zhang Jingyi , Kuai Min , Wang Tao
Published: December 2022

Memory has been an important scientific research project in the world for many years. Previous studies have shown that negative emotional states, such as pre-test anxiety, can lead to memory loss. However, this emotional state is only temporary, and the effects of psychological diseases on the human body will be long-term. The purpose of this study was to explore whether mental illness affects the short-term memory ability of patients. In order to investigate the effect of mental illness on the short-term memory of patients, two experiments on 30 adults with different mental states were conducted, controlling for other variables. Participants were asked to remember as many images as possible and fill in the memorized content on subsequent tests. The results showed that individuals with Mania or depression had worse memory than the general population, but the difference was not significant.
The Relationship between Parenting Style and Self-Esteem in Adolescents
Authors: Kou Siyi
Published: December 2022

This article reviewed the effect of four parenting styles (i.e., authoritative, authoritarian, permissive, and rejecting/neglectful parenting) on self-esteem and psychological outcomes in adolescents, such as well-being, life satisfaction, and school performance. It was found that parenting styles directly impact psychological outcomes. More specifically, a positive parenting style increases the life satisfaction and well-being of young adults. The results of this review also indicate the negative side of inappropriate parenting style, which increases adolescents' aggression. Aggression is a serious problem for adolescents, which normally leads them to be involved in criminal activities. Aggression might also cause mental health problems. Parents who are irresponsible are likely to increase the tendency of aggression in adolescents. Non-aggressive adolescents showed higher self-esteem than aggressive adolescents. Furthermore, the article also reviewed the relationship among self-esteem, parenting styles, and learning. Self-esteem serves as a mediator between parenting style and learning. The level of self-esteem increased by a positive parenting style can indirectly impact school performance, such as academic procrastination and self-regulated learning. A high level of self-esteem can decrease academic problems, and it also can facilitate the development of self-confidence, which is positively correlated with academic performance. However, previous studies did not investigate differences of this relationship in boys and girls. Future research should focus more on gender differences. This review can provide some guidance for the family education programs at school and relevant intervention studies.
Gender Stereotypes in Preschool Children and Relevant Interventions
Authors: Li Hong
Published: December 2022

Previous research has focused on gender development mainly from a theoretical perspective, which can provide a general understanding of children’s development in certain fields. The cognitive-developmental, gender-schema, and social cognitive theories were utilised as the dominant frameworks for understanding gender development. Another notion known as theory of dynamic systems interprets gender development from a more complicated perspective with the consideration of multiple elements. All of these theories have the limitations to identify external cues that could result in children’s development of gender stereotypes specifically. In light of these notions, the current study chose to focus on the impacts of external factors on preschoolers’ development of gender stereotypes and relative interventions. The paper identified two types of external factors, including environmental cues and social interactions, which have significant correlations with children’s stereotypic attitudes. In addition, two gendered pedagogies were discussed as effective interventions which could be applied in preschool. In terms of the limitation, some possible mediation and moderation aspects of external components that were found to be strongly associated with the development of gender stereotypes were not thoroughly evaluated and addressed. Future study should evaluate possible mediation and moderating effects in a more comprehensive way. The current review demonstrated the significance of implicit gendered characteristics that might be easily ignored in daily life. It can give direction for future research to uncover more specific implicit factors. In addition, it can provide some insights to parents and educators for creating a more varied and equitable environment for children’s gendered development.
Solutions for The Lack of Social Attention on The Chinese Women's Basketball Team
Authors: Zhao Yijia
Published: December 2022

The Chinese women's basketball team is one of the most important women's sports organizations in China. It maintained a high ranking in international competitions for decades, but there is a lack of social attention to it. The purpose of this paper was to discuss the cause of this situation and provide solutions to increase social attention on the team to benefit the future development of the women's basketball industry in China. This paper reviewed the marketing mix theory from past research and determined the relationships between each factor of the theory and the customer purchase behavior. Current situation evaluation and future development strategies of the team were performed using SWOT analysis. This research concluded that instead of "strength" which is the internal superiority of the team, all of the three factors: weakness, opportunity, and threat have an impact on the social attention of the team. Thus, the absence of enough exposure was directly linked to the lack of social attention to the team. As a newly introduced communication channel, the role and application of social media exposure within the field of social attention will be later discussed.
An Embedded Encrypted Data Storage System based on FPGA
Authors: Na Jiesi , Qi Hongtao , Zhang Jianyu
Published: December 2022

For the embedded storage system with data confidentiality requirements, an embedded storage platform with triple DES as the encryption algorithm, eMMC as the storage medium, UART and UDP as the communication interface, and FPGA as the main control chip is designed. in this design, the data encryption key can be freely set by the host computer during data storage. When reading the data, the host computer can obtain the plaintext data by providing the correct key without decrypting the host computer. The experimental results show that the design can normally complete the encrypted storage and decrypted reading of data, the storage rate can reach about 18MBps, and the reading speed can reach about 16MBps.
Research on the Application of Wireless Sensor in the Design of Curtain Automatic Adjustment System
Authors: Tian Haonan
Published: December 2022

With the development of science and technology and the progress of wireless sensor network technology, a variety of intelligent electronic products are used more and more widely in people's lives. High technology and intelligent technology have entered residential home users from intelligent buildings, and home intelligent technology has become a cutting-edge technology topic. The development of mobile Internet provides a new platform for home decoration, which is of great significance in promoting the formation of smart families and smart communities. Curtain is an important element in interior decoration design. It is of great practical value to develop a mobile virtual display system that can manage curtains and provide curtain decoration effects. The design idea of modularization is adopted, and the design process of wireless communication module, relay module, key module, power protection and level conversion module of the system is emphatically analyzed. The basic working principle and operation method of the system are introduced, and the server and client software based on TCP communication protocol are designed to realize the remote control of curtains through the Internet or personal mobile devices. The actual results show that the scheme can be applied to the home or office environment, and has the characteristics of high stability and simple operation.
Application Research of Computer Communication Technology in the Development of Artificial Intelligence
Authors: Huang Huiwen
Published: December 2022

With the advent of the 5G communication era, people's life and work are increasingly dependent on computer network information technology. The development and application of artificial intelligence (AI) technology has laid a solid foundation for the security of computer network. One technology plays an indispensable role in the development of this field, that is, computer communication Technology (CCT). Its core function is to support data, collect, analyze and process a large amount of information, and output scientific and reasonable calculation results. As one of the frontier directions, the application range of multi-agent system is more and more extensive. Compared with traditional software systems, multi-agent systems can provide more effective means to solve complex scientific and engineering problems. This paper focuses on the application of the trusted alliance technology of multi-agent system in the context of the Internet of Things, defines the parameters and conditions of some trusted alliances of the intelligent terminal of the Internet of Things, and preliminarily discusses the negotiation strategy of the process of strengthening the alliance. The organic integration of AI technology and computer network technology is a new direction of the intelligent development exploration and research of network technology. This paper studies and analyzes the application of AI in computer network technology in the age of big data.
A Deep Detection Model based on Multi-task Learning for Appearance Defect of Solid Propellants
Authors: Yan Jiafu , Li Jiahang , Luo Maolin , Li Biao , Zhang Changhua
Published: December 2022

Solid propellants (SPs), as a high-energy material, are commonly used in military and industrial power systems, such as solid rocket and missiles. The SPs, however, confronts severe difficulties of inevitable defects while being made, thus bringing about the significance of inspection. However, the literatures before typically tackled this problem separately, which subsequently combines different models for the variety of defect patterns. Despite of the effectiveness, this act of matters usually brings excessive complexity and additionally computational burden. In this article, we managed to solve this problem in an integrated framework, which unite both the size detection task and shape detection task at the same time, but with different training strategies. To be specific, our framework is mostly consisted of two stage. Firstly, the SPs region is output using a semantic segmentation network, and size measurements are completed with traditional image processing to determine the size defects of the SPs. Then, the depth features of the segmentation network are combined with the semantic segmentation map to make a spatial attention mechanism, which is input to the deep classifier to complete the shape defect detection. The focus of model is gradually shifted from the segmentation task to the classification task as the number of training sessions increases by introducing dynamic balancing factors. The experimental results show that the multi-task learning approach can greatly improve the generalization and robustness of the model, and the accuracy and speed are improved for appearance defect detection of SPs.
A Survey of Face Recognition Methods based on Deep Learning
Authors: Chen Beiwen , Liao Xiaofang , Zhu Haolin , Gong Zhuoxian , Li Yingcong
Published: December 2022

Since the 21st century, people have put forward higher requirements for information security technology in many fields such as society and economy. The requirement has promoted the development of biometric identification technology. Face recognition technology has become a research hotspot in biometric identification technology with its unique advantages. In recent years, with the development of deep learning, face recognition technology has made breakthroughs. Face recognition technology based on deep learning has been widely used in various fields such as finance, education, security, transportation, and new retail. In the process of face recognition technology becoming popular, some comprehensive literatures are urgently needed to summarize the methods of face recognition technology. Based on this, this paper first introduces the principle and existing problems of traditional face recognition methods, and then introduces in detail two typical face recognition methods based on deep learning—face recognition methods based on convolutional neural networks and face recognition methods based on deep belief networks. Finally, we provide an overview of common face datasets.
Research on the Optimization of License Plate Character Segmentation
Authors: Cai Yunwei
Published: December 2022

License plate character segmentation is an important step in license plate detection and recognition. With the development of machine learning technology, the segmentation algorithm of license plate characters based on clustering is also developed rapidly. However, the current clustering algorithm based on K-means does not consider the integrity of the characters and the horizontal difference between the characters on the license plate. This paper presents a weighted distance measurement method based on a connected domain. First, all pixels belonging to the same connected domain are naturally clustered into a class. Meanwhile, the horizontal and vertical distance measurements between the connected domains are scaled by the respective land weights, which makes the horizontal distance between the connected domains get more attention. This paper conducts extensive experiments on the collected data set of license plate characters, and the experimental results verify that compared with the K-means clustering algorithm, the weighted distance measurement method based on the connected domain has more accurate license plate character segmentation results.
Research and Measurement Status and Data Processing Technology of Highway Asphalt Intelligent Testing Equipment
Authors: Miao Na , Lin Zhidan , Sun Ming , Zhu Jing , Wang Yixu
Published: December 2022

This paper introduces the current status of the asphalt viscosity testing equipment in the field of the road engineering, domestic and foreign study about the high viscosity standard that is used for the calibration of such equipment, as well as the developing technologies of the viscosity standard; it also predicts and gives the outlook about the development trend of the high viscosity standard in the future.
Analysis of Power Management for Hard Real-Time Embedded System between Adaptive Power Management Method and Idle Energy Reduction Method
Authors: Li Chengming
Published: December 2022

Static and dynamic power management have become crucial in real-world applications of embedded systems development. While many technologies and algorithms can reduce power consumption efficiently, like dynamic voltage and frequency scaling, varying voltage and frequency make overall power consumption less efficient. The comprehensive embedded system spends time and energy on the transition between states, voltage, and frequency. To better understand how these problems can be addressed, this paper will explore two methods, the adaptive power management method and the idle state energy reduction method, to mitigate issues on the algorithm side. Furthermore, this paper is intended to give researchers and real-time embedded systems developers an overview of power management methods and to help them better develop the embedded systems.
The Performance analysis of Low-Power High-Speed comparators
Authors: Li Yichen
Published: December 2022

Comparators are the essential block for planning high-speed analog and. This paper presents three inventive designs of the comparators in recent years. First, innovated by classic two-stage comparator, the comparator with a transconductance-enhanced latching stage is suitable for low-power, high-speed operation. Second, triple-latch feed-forward(TLFF) fully dynamic comparator guarantees the maximum possible gain and speed for a specific power across the entire input range. Finally, the comparator with a dynamic floating inverter maximizes efficiency by reusing the current.
Principle and performance analysis of low-power, high-speed, low-noise comparators
Authors: Lin Zepeng
Published: December 2022

This paper studies three different structures proposed in recent years and discusses their advantages and properties respectively. A modified strong-arm latch voltage comparator is adapted to 3GHz operating frequency through additional current paths in the pre-amplifier. A latch-type comparator with a dynamic-biased pre-amplifier (DA) greatly reduces energy and improves noise performance through the stabilization of the input common-mode voltage. An FIA comparator further reduces energy and noise and greatly enhances the delay performance and the robustness of the comparator against different input common-mode voltage.
Review of Applications of UAVs in Agriculture
Authors: Yang Rui
Published: December 2022

The world population keeps increasing rapidly which makes the food supply become more and more important. Some schemes to deal with the challenge is utilizing the information and communication services with higher efficiency, and increasing the production of the fertilizer which has the capability to increase the productivity of the cropper. The UAV is a flexible vehicle in many fields nowadays. Military use UAVs in target acquirement and area monitoring. Those features of UAVs also can be used in agriculture development.
Performance analysis of comparators
Authors: Tang Chengyun
Published: December 2022

This article reviews the innovative and improved structure of three comparators, and summarizes the optimization ideas to further optimize the design parameters of the comparators in the future. The Triple-Tail Dynamic Comparator proposes a multi-stage design to break connection between speed and noise. The Dynamic Bias Latch-Type (DB) Comparator takes an innovative approach to reducing energy consumption by stabilizing the source node voltage of the input pairs. The floating inverter amplififier (FIA)-based pre-amplififier further improves the energy efficiency based on the design of the low-power comparator, and also optimizes parameters such as common-mode output voltage and noise.