Reviewerly/exHarmony huggingface dataset:
Towards understanding the character of quality sampling in deep learning face recognition

Face recognition has become one of the most important modalities of biometrics in recent years. It widely utilises deep learning computer vision tools and adopts large collections of unconstrained face images of celebrities for training. Such choice of the data is related to its public availability when existing document compliant face image collections are hardly accessible due to security and privacy issues. Such inconsistency between the training data and deploy scenario may lead to a leak in performance in biometric systems, which are developed specifically for dealing with ID document compliant images. To mitigate this problem, we propose to regularise the training of the deep face recognition network with a specific sample mining strategy, which penalises the samples by their estimated quality. In addition to several considered quality metrics in recent work, we also expand our deep learning strategy to other sophisticated quality estimation methods and perform experiments to better understand the nature of quality sampling. Namely, we seek for the penalising manner (sampling character) that better satisfies the purpose of adapting deep learning face recognition for images of ID and travel documents. Extensive experiments demonstrate the efficiency of the approach for ID document compliant face images.
Heterogeneous big data fusion in distributed networking systems for anomaly detection and localisation

An efficient anomaly detection and localisation mechanism is crucial for achieving high-quality network services. In particular, learning-based methods have recently been developed to achieve this goal by discovering helpful information from a massive amount of heterogeneous network data. However, heterogeneous data from various network components lead to significant challenges and an unexpected burden for analysis. The distributed scale of networking systems challenges data integrity and knowledge retrieval due to the separation of coupled functions over the distributed system. In this article, an insightful survey is performed by thoroughly reviewing recent academic and industrial contributions regarding anomaly detection and localisation. To tackle the issues, we propose a new framework to effectively learn informative representations of heterogeneous data and fuse this information for efficient anomaly detection and localisation. Furthermore, a case study is presented for anomaly detection and localisation through learning data representations and performing heterogeneous data fusion.
Discussion on Human Gene Editing Technology from the Perspective of Ethics and Law

In recent years, there are more and more achievements in gene editing technology, and more and more private individuals begin to study gene editing technology.Gene editing technology is a hot topic both in medical circles and in legal circles.Different from traditional genetic engineering technology, gene editing technology has powerful functions and accuracy, which can effectively cure various human genetic diseases and prolong human life expectancy.However, while enjoying the great benefits brought by gene editing technology to mankind, we must also realize that a series of moral and ethical problems caused by gene editing technology have also promoted the improvement of China's legislative model in the field of gene editing.From the perspective of ethics and law, this paper studies the relevant laws and regulations of gene editing technology from many aspects, and effectively points out the application scope of the technology and the consensus that the current society should reach on the application of the technology.
Research on the Path of Constructing "Double-qualified" Teachers in Preschool Education Specialty

Firstly, this paper starts with the importance of accelerating the construction of "double-qualified" teachers in preschool education major in college-level normal colleges in remote areas of northwest China, and outlines the connotation of "double-qualified" teachers in preschool education major in higher vocational colleges through literature review, Then, it is put forward that through "resident training", "all-staff training based on alliance", "layered training" and "order-based training", the problems such as lack of talents in the process of building "double-qualified" teachers in preschool education major of college-level normal colleges in northwest remote areas can be effectively solved.
Resource Allocation for an Enterprise Mobile Services Platform

With rapid technological advances being made in the area of wireless communications it is expected that, in the near future, mobile users will be able to access a wide variety of services that will be available over a heterogeneous network. The qualities of these services are essential to the overall end user experience and it is the responsibility of the network and the mobile service platform to deliver on these expectations. In the context of mobile computing environments, limited and dynamically varying available resources, stringent application requirements and user mobility make it difficult to provide sustained quality of service to applications. This paper addresses the above issues, in particular a) a queuing model is derived for a mobile service platform (iMobile) to identify its resource allocation needs, b) a network simulation of a mobile service platform is provided for estimating the expected response time and c) a testbed implementation of a mobile service platform to negotiate adaptive service support.
Concept of and Experiments on Combining Compression with Encryption

Compression reduces storage and communication costs by decreasing data size while encryption provides security by making data unintelligible to everyone but the key holder. We present a novel concept that combines these distinct research areas of Computer Science to sum up the benefits of the two. This work adds a security dimension to compression. We also present the results of some experiments on the way of efficiently implementing the concept.
Qualitative and Quantitative Evaluation using Process Algebra

Performance evaluation should be dealt with early in the development life-cycle of distributed systems to avoid costly redesigns. When integrated with traditional qualitative methods it improves the development productivity. But engineers are often faced to learn skills about different methods and the links between them lack a formal semantic. In this paper, we present a stochastic process algebra which provides a whole integrated formalism to tackle both qualitative and quantitative properties of systems under design.
Texture Segmentation by Using Adaptive Polyphase Subband Decomposition

In this study, a new texture segmentation method is proposed for texture analysis applications. The technique makes use of an adaptive polyphase subband decomposition to analyze textural blocks and extract the discriminating feature sets for segmentation of the images. The subband decomposition treats the texture blocks as 2-d signals having correlated spectral properties and the filter banks used split this signal into several frequency regions which are decorrelated by the decomposition. The filter coefficients are not static but modified through the process for adaptively analyzing the signal. The feature sets constructed according to the filter coefficients and the error image are fed to the classifier functions. Since the method decomposes the signal optimally, the feature extraction capability is boosted. The method is tested on artificial images produced by using Brodatz textures and texture blocks cut from IRS Pan satellite imagery.
A Research on the Hotspots of Kindergarten Regional Activities Based on an Analysis of Common Keywords

In order to know about the hot spots and trends of kindergarten regional activities in the past 20 years, and provide a better direction for the study of kindergarten regional activities, using Bicomb and SPSS software, this essay makes Keyword co-word analysis, cluster analysis and multi-dimensional scale analysis on 1869 articleswhich were queried from China Knowledge Network from 2000-2020.The results show that the research hot spots of regional activities in China in the past 20 years mainly focus on the problems and countermeasures of regional activities in kindergartens; the material placement, environmental creation and guiding strategies in regional activities; the organization of regional activities and the development of children's ability.
Exploration of Practical English Rhetoric Education Based on Applied Talents

Aristotle is the most representative figure in classical rhetoric.Nowadays, rhetoric is a subject that studies how to use rhetoric to improve the effect of language expression, with the aim of improving learners' ability of rhetorical analysis and appreciation and practical application.Rhetoric can be found in famous literary works, famous speeches, proverbs and idioms, prose poems, online buzzwords and advertising language.Confucius said: "Words are without words, but actions are not far away."Human language is beautiful and interesting because of rhetoric.The effective use of rhetorical devices can make people find everything new and fresh, and achieve the effect of lingering sound and never forgetting anything.Mastering rhetorical devices can properly express thoughts and feelings, and achieve the artistic effect of creating flowers with wonderful pen.
Research on Teaching Materials of National Traditional Sports in School Physical Education

National physical education have a deep mass base.Introducing it into school physical education can make up for the lack of curriculum content and culture, and help to improve students' enthusiasm for physical exercise.It is considered that physical education should be reformed through rules reform, equipment reform and difficulty reduction, and it should be combined with physical education class, extracurricular physical education activities and physical education competitions to build a school-based curriculum of national traditional physical education.
Study on the Teaching Model of the Intelligent Classroom in Chinese Primary School

The advent of the "Internet+" era has deepened the integration of information technology and subject teaching, and the "smart classroom" has injected fresh blood into the reform and innovation of the traditional classroom.In the context of artificial intelligence, some students are still not interested in Chinese learning, and the phenomenon of teachers filling the classroom still exists.This paper analyzes the characteristics of the intelligent classroom of primary school Chinese in the context of artificial intelligence and refines the three-stage teaching application model of "individual learning, mixed learning, and extended learning" in the intelligent classroom with the tablet computer as the carrier.This article hopes to solve the current problem of Chinese teaching and learning by promoting students' Chinese learning through good intelligent education.
Strategies for the Innovation of Higher Educational Management

With the development of society, the requirements for talents continue to increase.In the process of implementing education management, colleges and universities must closely follow the development of society and innovate education management models.Only in this way can we cultivate talents in line with the needs of the current society.From the actual situation of our country's higher education management at this stage, there are still some problems that affect the improvement of the level of higher education management.The author explores and analyzes the existing problems and importance of educational management in colleges, and puts forward specific innovative strategies, hoping to contribute to the long-term development of high education.
R Govys: A New Community that Wants <i>You</i>

In 2022 the American Statistical Association became a member of the R Consortium. Members of the consortium have a shared commitment to ongoing development and maintenance of R and supporting the user community. As a result of the ASA participation in the R Consortium a R Govys, a new users-group was formed. The goal of R Govys is to build community, share knowledge, and grow influence for users and producers of federal statistics.
The Effect of Gojek’s Gamification Strategy (GoClub) Towards Customer Loyalty

The development of technology contributes to the growth of online transportation sectors in recent years, including Gojek, an online transportation originating from Indonesia. In 2021, Gojek provides a new gamified loyalty program, GoClub, in response to the current emerging competition in online transportation services. However, although GoClub has been implemented, the brand-switching is inevitable. This indicates that the gamification that is embodied in the loyalty program might not effectively make the customer loyal. Therefore, this research aimed to assess whether the Gojek gamification strategy can have a significant effect on customer loyalty. This research is conducted using a quantitative approach by distributing surveys towards 425 GoClub users in Indonesia, analyzed using PLS-SEM. The result shows that gamification has a significant positive effect on customer loyalty. However, this study found that customer experience in the gamification has no significant positive effect on customer loyalty. The finding of this research is intended to provide marketers an insight about gamification marketing strategy and how it can increase customer loyalty in order to gain the competitive advantage in the industry.
Exploring the Meaning of a Field-based Child Safety Management Class: Focused on Prospective Pre-Service Early Childhood Teachers

Objectives This study explored the meaning of a field-based child safety management class for prospective pre-service early childhood teachers.&#x0D; Methods The study period was from July to December 2021, and the participants were 61 prospective pre-service early childhood teachers who took the child safety management class at a two-year college located in S city. The study participants received a field-based child safety management class for 3 hours once a week for 15 weeks, and their reflective journals, class performance improvement evaluation sheets, end-of-semester reflection sheets, and researcher journals were collected and analyzed.&#x0D; Results The results showed that the prospective pre-primary teachers experienced “connecting theory and practice through field data,” “getting ideas for child safety classes through class case analysis,” “becoming a field-oriented teacher by inviting field experts,” and “enhancing child safety class competency through field-oriented class demonstrations.”&#x0D; Conclusions Through these results, it was confirmed that the field-based child safety management class for pre-service early childhood teachers had educational significance.
A Study on Korean Learners' Satisfaction and Affective Factors of Learning Korean by Telephone

Objectives This study is focused on finding the satisfaction of Korean learners learning Korean by telephone.&#x0D; Methods The survey was conducted on 39 Korean learners to find out the satisfaction of learning Korean by telephone. Multiple response frequency analysis was conducted to investigate which linguistic area of the learners was most affted by learning Korean by telephone. After that, the correlation analysis between anxiety, interest, attitude, efficacy, and satisfaction, which are personal factors of the learners, was examined. Also, regression analysis was conducted to check if the factor with the highest correlation with satisfaction affect the satisfaction of learning Korean by telephone.&#x0D; Results In the survey, learners responded that they felt that ‘speaking’ improved the most among listening, reading, and speaking, and that they received the most help in the pronunciation aspect of speaking. In addition, among the individual factors of learners, the correlation between self-efficacy and satisfaction was the highest, and it was confirmed that self-efficacy influenced satisfaction.&#x0D; Conclusions Through this, it was found that the platform called ‘learning Korean by telephone’ is helpful for learning pronunciation from among the different areas of speaking. In addition, it turned out that the higher the learners' efficacy, the higher the satisfaction of learning Korean by telephone, so it was found that a teacher of teaching Korean by telephone who is able to increase self-efficacy would be needed.
A Case Study on the Korean Presentation Class Plan for International Student Using Gather.town: Based on Problem Based Learning

Objectives The purpose of this study is to present a presentation class using PBL in the Gather.town environment for intermediate academic purpose learners and to propose the educational applicability of the Gather.town environment.&#x0D; Methods For this purpose, the established PBL was reorganized into problem presentation-problem solving- presentation and evaluation stages to suit presentation classes in Gather.town environment, and a Gather.town map was designed, and 18 international students currently attending Korean universities and graduate schools were recruited. A total of eight classes were conducted for two weeks. A questionnaire was organized with questions about the presentation class and the class in the Gather.town environment, and a questionnaire was conducted for learners participating in the class afterward. All of the questions in the survey were answered on a Likert scale except for the last question.&#x0D; Results As a result of the survey, motivation, upturn of reality, and increase in interaction were derived as the advantages of classes using Gather.town. In particular, it was confirmed that interest in the ‘presentation’ class and self-efficacy can be promoted in the process of solving problems through cooperative activities in classes to improve presentation skills.&#x0D; Conclusions This study is meaningful in that it suggested the possibility of applying the Metaverse’ Korean education, a new educational environment, by designing and applying classes centered on the problem-solving process of “presentation” that international students face difficulties in using Gather.town. According to this study, it is expected that various educational attempts for international students based on the Metaverse environment will be expanded.
An empirical study on the influencing factors of technological innovation ability of chip listed enterprises

Taking China's major chip listed enterprises as the research object, this paper makes an empirical analysis on the technological innovation ability of those enterprises from 2016 to 2020 by using ridge regression model, and puts forward assumptions on the influencing factors of R&D and financial status.The analysis conclusion is that the technological innovation ability of enterprises is positively correlated with the proportion of R&D personnel and operating revenue.The proportion of R&D capital investment in operating revenue, total assets, operating costs and asset liability ratio have little impact on technological innovation ability.
Reviewing International Researches on Computer-Assisted Language Testing from 2011 to 2021—A Visual Analysis Using CiteSpace

With the development of information technology, computer is gradually used in language testing.This paper analyses the articles of computer-assisted language testing published in the Social Sciences Citation Index (SSCI) database of Web of Science between 2011 and 2021 using CiteSpace, a visual analysis software.The analysis focused on the number of publications, countries and institutions, authors, keywords and so on.It is found out that the number of publications in this field shows a trend of increasing in a fluctuating manner from 2011 to 2021, and reached a peak in 2020.Countries with the most publications are the USA, China and England, and most of the institutions with relatively more publications are universities.The research hotspot and frontier in this field include students' performance in computer-assisted language testing and so on.Meanwhile, there are some research gaps in this field which include students' or teachers' adaptability of computer-assisted language testing, the washback of computer-assisted language testing on language teaching and so on.It is hoped that this paper can provide reference on the application of computer-assisted language testing in language teaching and the future research in this field.
An Improved Hybrid Method for Defogging Single Image

In this article, we suggest a different method for addressing the issue of nighttime single image dehazing.Because a nighttime landscape frequently includes several light sources, ambient lighting for haze period is usually not globally isotropic.Existing nighttime dehazing algorithms have tried to treat these two zones using the same prior assumptions.We propose a novel blending approach for resolving them in this work. channel difference guided filtering with contrast stretch approach is presented to estimate ambient light, which creates a spatially variable low-frequency passband that selectively retains high-frequency edge information.
An efficient method to classification with missing data

Missing data is widely existing in life.Processing missing data is essential in classification.Therefore, it is a common and essential method to use the existing reliable data set to impute the missing data.These methods have a significant effect on the processing of ambiguity and uncertainty in the data set.At the same time, the processing of missing data sets widely exists in the fields of noise processing and enhancing system robustness.Therefore, using accurate data and imputation methods to impute missing data sets is essential and effective.In this paper, a new method for classification with missing data is proposed.First of all, the training data set is optimized so that classifiers can get trained well.Then it will be used to estimate missing values with the proposed method.By comparing the Precision, Recall, F 1 , and ARI indicators of the classifier in the classification test with different testing data sets by four different imputation methods, the final result shows that the proposed method performs best on the whole.
Big-Data-Technology Talent Cultivation in the Application-oriented University: Practice and Prospects with a Case Study

Weifang is a rapidly-developing digital-economy city in China.The fast growth of local preponderant industries puts forwards massive demands on application-oriented big-data-technology talents, which can provide fundamental support to the digital production.Nevertheless, it is a challenging task to establish a cultivation system of big-data-technology talents.We are building the Data Science and Big Data Technology specialty in School of Computer Engineering, Weifang University.Our school has possessed the prerequisites of building a distinctive specialty, including excellent faculty team, high-level academic research lab and research projects, and university-enterprise joint cultivation mechanism.Based on the existing prerequisites, we propose to boost development of the specialty through the following solutions.First, we will explore further innovation of cultivation model aiming at the practical demands of local industries.Subsequently, we will improve the faculty team structure, especially increasing the percentage of "bi-qualified" faculty members that are competent in both academic research and engineering practice.Finally, we will establish more training bases that effectively bridge the gap between the talents and practical industry demands Based on these three solutions, we have achieved some positive feedbacks and we are planning to build a distinctive provincial specialty of Data Science and Big Data Technology.