Reviewerly/exHarmony huggingface dataset:
Covid Protocol Enabled Dual Mechanism for Authentication

Abstract: In the Modern day, with such advancement in technology, the world is going touchless for security, driving, and many such activities. In this paper, we tried creating an advanced security system for face and fingerprint recognition by touchless means. Though much efforts can be put to further increase the efficacy and accuracy of the prototype, but this is just a beginning. First, face image will be captured and matched with the already present images in the database using a pre-trained model based on Deep Neural Network (DNN) which takes 128 different measurements for face identification. Age and Gender prediction model and prototype is also being used to predict gender and probable age range. Second, if step 1 is successful, the prototype asks for fingerprint image using second camera. The image is then processed to extract fingerprint lines similar to minutiae extraction with help of Gaussian Adaptive Threshold Algorithm. The lines are then sharpened, blurred and enhanced. The final processed image is then matched with the already saved images in database. The points in the images are matched using SIFT algorithm which enables to detect even if the image is at different angle, size, blurred or any other discrepancy. Lastly if both Face and Fingerprint are matched with same individual data, the prototype grants the access.
Inference for Trustworthy Machine Intelligence: Challenges and Solutions

In order to create AI/ML based solutions that will be trusted during production, issues that hamper usage of AI models in practical solutions needs to be addressed. Despite a significant interest in the area of AI/ML, the primary focus of the research community has been on the training of AI models, including their performance, trustworthiness, explainability and scalability. Training, however, is only one half of the work required to create an AI-based solution. The other half, using the trained model for inference during operations, is mistakenly considered a relatively mundane task. As a result, challenges arising in model inference time has received comparatively scant attention. Inference is when AI model is put into practice, resulting in many challenges that are worth the attention of the research community. Despite the existence of several pre-trained models on many Internet sites, anyone trying to build an AI/ML based solution would be hard-pressed to find a model that is useful, trustworthy and reliable, or suitable for the task. Even when a custom model is trained, the solution often falters because the use of model fails to account for the differences in the training and inference environment. In this paper, we identify those challenges and discuss how we can design a generic inference server for trustworthy AI/ML based solutions.
Shift Swin Transformer Multimodal Networks for Action Recognition in Videos

Action recognition aims to understand human behavior. Currently, action recognition is mainly studied using deep neural networks. The traditional 2D CNN (Convolutional Neural Network) has low calculation cost, but it is difficult to capture action sequence information; the 3D CNN-based methods can extract excellent spatiotemporal information, but it has many parameters and a large amount of computation. To improve accuracy and robustness, we propose a Shift Swin Transformer Multimodal Networks method. The shift design is adapted from the Temporal Shift Module (TSM), which facilitates information exchange between adjacent frames by shifting partial channels along the temporal dimension. Furthermore, based on the superiority of Swin Transformer network and TSN (Temporal Segment networks), a feature learning method is proposed to improve the performance. Extensive experiments demonstrate that our method markedly improves the effect in video action recognition, attaining 79.8% on HMDB-51, 97.4% on UCF-101 and 76.5% on Kinetics-400. Besides, we get a cross-subject accuracy of 88.6% and a Cross-Setup accuracy of 89.7 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> on NTU RGB+D 120.
An Improved U-Net Model for Astronomical Images Denoising

To explore and understand the universe, it is inevitable to analyze astronomical images. But additional and incidental noise information will be added during the acquisition process. These noise will interfere with the sub-sequent image analysis. Hence it is necessary to denoise the astronomical images before analyzing. Astronomical image resolution is large and the star signal is small. Meanwhile,the existing denoising methods are difficult to recover the feature information of stars. To enhance the ability of detail feature extraction while denoising, we propose an improved U-Net model. First, we add the residual connections inside the network to break the symmetry of the network. Residual connections are useful to information transmission, and avoid gradient explosion and overfitting. Meanwhile, residual connections can improve the network representation ability. Secondly, we use the encoding and decoding parts of Receptive Field Block(RFB) connection model. RFB increases the receptive field to strengthen the capability of multi-scale fea-ture extraction. RFB also recover more feature information of stars. Finally, we used an improved upsampling method to avoid generating checkerboard pattern of artifacts. We use the dataset from the Hubble Space Telescope(HST) Archives to verify the experiment. The experimental results verify that the proposed model performs well in the task of astronomical image denoising. Our method can better remove the existing noise of astronomical images and recover the feature in-formation of stars.
Magnetic column defect recognition based on Deeplab V3+

In order to solve the defect detection problem caused by the loss of detail information and low segmentation accuracy of Deeplab V3+ model, an improved Deeplab V3 + semantic segmentation model was proposed to detect magnetic column defects. Firstly, in order to reduce the model's parameter quantity, Mobilenet V2 is updated and used as the skeleton network of Deeplab V3+. Secondly, the attention module is added in the block of Mobilenet V2 network to strengthen the processing of details. Finally, the ASPP module is replaced with the D-ASPP module, which obtains richer semantic information and covers a bigger scale more densely. The experimental findings demonstrate that the novel method's mIoU value is 79.25%, which is 2.88% higher than that of the original Deeplab V3 + algorithm, and the defect recognition precision reaches 96.87%. Parameter quantity is decreased by 52.95%, operation time reduced by 27.8%.
Multi-Spacecraft Fly-Around Control Method for Mixed Cooperative-Competitive Scenarios

Fly-around is important in many tasks such as on-orbit servicing. When a target exhibits game-playing behavior such as orbit maneuver for evasion, predesigned fly-around formation and control strategies can’t deal with the situation well enough. For mixed cooperative-competitive scenarios, this paper proposes a multi-spacecraft fly-around control method based on deep reinforcement learning. In order to motivate cooperative behavior among chasers, this paper designs structured reward function combining individual reward with collective reward for chasers. Meanwhile, in order to motivate competitive behavior of chasers, this paper designs appropriate reward function for target as practice partner. Self-play training mechanics using PPO algorithm is developed to train the chasers and the target simultaneously. Experiments show chasers can maintain appropriate formation around the target and adjust their formation to adjust to the changes of sunlight direction and unknown target behaviors.
Specific Problems of Natural Language Processing

Natural Language Processing(NLP) is a field going far beyond the scope of DS.
Research Competence of College Students as a Subject of Pedagogical Analysis

The urgency of the problem of the formation of research competence is increasing in the new socio-economic conditions, the formation of market relations and the digital society, in which a critical look at the problem, the ability to reflectively assess events and phenomena, the formation of research skills, the ability to adapt to changing situations, uncertainty, unpredictability. In this regard, this article is devoted to the issues of pedagogical aspects of the development of the education system and its influence on the formation of design, survey and research abilities of college students. The development of scientific and research abilities of college students to a certain extent depends on the existing education system. As you know, a person, in addition to satisfying his vital needs, needs to satisfy spiritual needs that are directly related to his desire for knowledge, education. research activities in the thinking of college students. At all levels of education of children and young people, there is no proper training in the methods of forming research activity in the thinking of college students, developing skills in its observance and reducing motivation for adequate behavior. No less important is the problem of the formation of research activity in the thinking of young students. At present, there is a need to resolve the contradictions that have arisen between the conditions of social life and the conditions existing in modern educational institutions in which the education of students is realized. The formation of a culture of formation of research activity in the thinking of college students today is a priority state task.
Formation of Professional Competencies Based on Independent Activity of Students

This article discusses some features of the process of forming professional competencies based on the planning, organization and management of independent work of students. The author reveals the experience of working on the formation and development of professional competencies in new conditions. At the same time, the main emphasis is on the creative work and motivation of the student. Independent work of a student is an integral part of the training of qualified specialists in higher educational institutions. A feature of modern professional training of students is the predominant nature of individual and independent work. The materials of the article and its conclusions can be useful for students, teachers, postgraduates and researchers interested in the problems of the formation of professional competence and independent work of correspondence students.
Theoretical Foundations of Social Education of Schoolchildren

The concept of social education of pedagogical culture is considered. The problem of social education is now particularly relevant. During the school period, important changes take place in the life of the child, namely, the acquisition of a new social status "schoolchild". This period is the most sensitive for the development of human social abilities. At school age, he acquires social experience, begins to learn the norms of communication and behavior. In conclusion, the author concludes that the essential meaning of socialization is the integration and autonomation of the individual into the system of social relations. But in the conditions of a family, social education is not implemented in full, in this case, an institution of additional education comes to the rescue.
Life Tasks as a Means of Studying New Material When Teaching Geometry in Secondary School

The article reveals the role of life tasks in teaching geometry in high school. The teaching of mathematics in a general education school, in addition to equipping students with certain knowledge, skills and abilities necessary to prepare them for life activities in the conditions of modern production, also pursues the goal of achieving such a level of their mathematical development that they need to study other school subjects at a high level, to continue their education in higher education. And also, for the formation of key and subject competencies in mathematics. The article deals with life tasks as a means of learning new material when teaching geometry in high school. Examples from the production industry are given. And also, the article presents the requirements and goals of studying mathematics, geometry in high school. The content of the textbooks proposed by the Ministry of Education, respectively, for general education and subject state standards in mathematics, contains many examples related to life tasks. The above conclusions define the main problem of the study: to study the role and place of tasks with vital content in revealing the content-applied significance of the school geometry course and in solving general educational problems facing the school. Develop a methodology for teaching problem solving. In the school teaching of geometry, the connection of the studied material with life, with practice, is often not yet rationally realized. Students have poorly developed skills and abilities to apply the acquired knowledge in practice. The goals and requirements of education standards for student-centered learning, i. e. to connect the teaching of mathematics, geometry with life, the passion for studying the basics of production, to form the key and subject competencies of students.
Theoretical Aspects of Social Education of Children of Primary School Age in Educational Organizations

This article discusses the concept of social education for primary school age. The article is devoted to understanding the role of school education in the context of changing the educational paradigm. The mechanisms of socialization in school life, the main possibilities of educational strategies, tasks, directions and risks of the activity of the modern school as an institution of socialization are considered.
Development of a code of ethics for childcare staff

연구목적: 본 연구에서는 아동권리뿐 아니라 보육교직원을 위한, 보육교직원에 의한 윤리강령이란 관점에서 현장 활용도가 높은 보육교직원 윤리강령을 개발하고자 하였다. 방법: 다양한 국내외 5개 윤리강령들을 분석하고, 다양한 보육분야 관련자 및 이해관계자들이 윤리강령 개발에 직접 참여하거나 이들의 의견이 수렴될 수 있도록, 전국 표집을 통한FGI, 델파이 조사, 전문가 자문회의, 이해관계자 간담회 등을 실시하였다. 결과: 영유아 영역 8문항, 가족 영역 6문항, 동료 영역 8문항, 나와 사회 영역 4문항 등총 26문항이 최종 선정되었다. 일련의 개발 과정을 간략하게 기술하였으며, 2010년 개발된윤리강령과의 주요 차이를 표로 정리하여 제시하였다. 결론: 윤리강령 공유의 활성화, 윤리강령의 업무 적용의 활성화, 보육교직원 윤리강령의지속발전가능성 확보 등을 통해 보육교직원 윤리강령이 현장에 널리 활용되도록 해야 할것이다.Objectives: The purpose of this study is to develop a code of ethics for childcare staff from the perspective of not only children's rights but also childcare staff's rights. Also it aims to actively involve childcare teachers in the development of the code of ethics. Methods: Five domestic and foreign codes of ethics were analyzed. To collect opinions from various stakeholders and professionals in the childcare field, FGI, a Delphi survey, an expert advisory meeting, and a stakeholder meeting were conducted. Results: A total of 26 questions were finally selected, including eight questions in the infant and toddler domain, six questions in the family domain, eight questions in the peer domain, and four questions in the self and social domain. Key differences from the Code of Ethics developed in 2010 were discussed. Conclusions: The code of ethics for childcare staff should be widely used in the field by promoting the sharing of the code of ethics, promoting the application of the code of ethics to work, and securing the sustainable development of the codes of ethics for childcare staff
A Case Study of a Program Using OER in Museum: Focusing on Cultivating Digital Literacy

디지털 기술의 발전과 수평적이고 분산적인 네트워크의 형성으로 공유의 가치가 강조되고 있으며, 교육 분야에서는 무료로 접근할 수 있는 교수·학습자료인 OER을 활용해 오픈 러닝 시대를 영위하고 있다. OER을 활용한 교육은 디지털 테크놀로지를 기반으로 기존의 교육 자료를 재사용, 보존, 수정, 리믹스, 재배포하는 과정에서 다양한 디지털 정보와 도구를 목적에 맞게 활용함으로써 디지털 리터러시를 함양할 수 있다. 이에 본 연구는 디지털 리터러시 함양을 중심으로 OER 활용 교육의 효과성을 확인하고자 J 박물관 디지털 아카이브의 전시물을 OER로 활용하는 교육프로그램을 개발하여 초·중등학생을 대상으로 적용하였고, 학습자의 성찰일지, 학습자 및 교수자의 인터뷰, 교수자의 관찰일지를 수집하여 질적 분석하였다. 그 결과, OER 활용 교수학습 활동을 통해 디지털 도구를 활용하고 창작하는 기술적 측면, 디지털 정보 탐색하고 문제를 해결하는 개인적 측면, 디지털 세상에서 타인과 협력하고 공유하는 사회적 측면의 디지털 리터러시를 함양할 수 있었으며, 디지털 아카이브의 전시물을 OER로 활용하는 박물관 교육의 발전 가능성을 확인할 수 있었다.As the value of sharing has been emphasized with the development of digital technology and the distributed networks, the era of open learning using OER has opened. Education using OER enables learners to cultivate digital literacy in the process of reusing, preserving, modifying, redistributing, and redistributing open materials in a digital education environment. Therefore, this study developed a program that utilizes the exhibits of the J Museum's digital archive as OER and applied it to elementary and middle school students to confirm the educational effect of OER-based learning. As a result, it was confirmed that learners acquired digital literacy in the personal aspect of exploring digital information and solving problems, the social aspect of cooperating and sharing with others in the digital world, and the technical aspect of creating contents using digital tools through teaching and learning activities using OER. The possibility of developing museum education using digital archive exhibits as OER was presented.
Based on Whole Thinking through Imagination Strategies for Programming in Arts Genre Integrated Arts &amp; Culture Education Program: Centered on Gaston Bachelard's Material Imagination

본 연구는 2021년 한국문화예술교육진흥원이 주최하는 <문화예술교육사 대상 프로그램 개발 공모전>에서 프로그램을 개발했던 경험을 바탕으로 한다. 연구자는 경험을 통해 통합 문화예술교육 프로그램을 계획할 때, ‘상상을 통한 총체적 사고 과정’이 필요하다고 생각했다. 이에 가스통 바슐라르의 ‘물질적 상상력’을 통해 주제를 다-감각적으로 상상하는 과정, 방법에 대한 연구를 하였다. 그래서 본 연구에서는 연구자의 예술 장르 통합 프로그램 경험을 언급하고, 문제점을 해결하기에 바슐라르의 상상력이 어떤 의미를 지닐 수 있는지 살펴볼 것이다. 그리고 이를 어떻게 통합 문화예술교육 프로그램 계획에 활용할 수 있는지 연구자의 사례를 통해 설명할 것이다. 이에 교육 현장의 실질적 경험을 바탕으로 한 연구는 통합 문화예술교육의 질적 성장을 위한 좋은 밑바탕이 되기를 기대한다.In 2021, I developed a program for the <Culture and Arts Education Program Development Contest>. When planning a program, I became to think ‘whole thinking through imagination' is necessary. Based on Gaston Bachelard's 'material imagination', a study was conducted on the process and method of imagining a subject multi-sensibly. Therefore, in this study, the researcher's experience of the integrated program was mentioned and looked at what Gaston Bachelard's imagination can mean for solving problems. And I would like to explain how this can be used in planning cultural arts education programs through the case of a researcher. Research based on practical experience in the educational field can be a good foundation for the qualitative growth of integrated culture and arts education.
A Qualitative Case Study on Art Education for Improving Self-Determination of Adolescents with Developmental Disabilities

최근 장애인의 문화권에 대한 관심이 증가하면서 함께 강조되고 있는 자기결정력은 발달장애 청소년이 가정과 학교 그리고 지역사회에서 질적인 삶을 영위하기 위해 반드시 획득해야 할 중요한 요소이다. 본 연구는 미술이 발달장애 청소년이 스스로 창작과정을 선택하고 작품을 통해 자신의 목소리를 드러낼 수 있는 기회를 제공한다는 전제에서 출발한다. 이에 자기결정력 모델을 적용한 미술교육 프로그램에 참여하는 발달장애 청소년의 행동과 경험을 심층적으로 분석하는 데 본 연구의 목적이 있다. 이에 질적 사례연구 방법론을 사용하여 자기결정력 모델을 적용한 미술교육 프로그램을 개발하고, 이를 발달장애 청소년 6명에게 적용하여 참여자의 경험을 심층적으로 분석하였다. 자료 분석 결과 미술활동을 통한 발달장애 청소년의 자기결정력의 변화에 관한 4개의 주제가 도출되었다. 첫째, 외부간섭 없이 자신이 선호하는 것과 흥미를 바탕으로 미적 호기심, 표현의 확장을 경험하였다. 둘째, 목표 달성을 위한 목표설정과 계획을 실행하며 목표설정, 자기 주도성, 수용적 태도로 표현되었다. 셋째, 과제 수행과정에서 자신의 강점을 바탕으로 자기만족, 문제해결 능력이 나타났다. 넷째, 자신의 관심과 경험을 바탕으로 표현하는 과정에서 자신의 삶과 연결, 능동적 참여가 이루어짐을 볼 수 있었다. 본 연구는 발달장애 청소년의 자기결정력 향상 미술교육 프로그램을 구조화할 수 있는 핵심 요소를 도출하였다는 점에서 기초 연구로서 의의가 있다.Self-determination, which has recently been emphasized with the growing interest in the culture of the disabled, is an important factor that young people with developmental disabilities must acquire in order to lead a qualitative life at home, school, and community. This study starts with the premise that art provides an opportunity for adolescents with developmental disabilities to choose their own creative process and reveal their voices through art works. Therefore, the purpose of this study is to analyze in-depth the behavior and experiences of adolescents with developmental disabilities participating in art education programs applying the self-determination model. This art education program applying a self-determination model was developed using a qualitative case study methodology and the participants' experiences were analyzed in-depth by applying it to six adolescents with developmental disabilities. As a result of data analysis, four topics were derived on the change in self-determination of adolescents with developmental disabilities through art activities. First, they experienced the expansion of aesthetic curiosity and expression based on his preferences and interests without external interference. Second, goal setting and plan for achieving goals were implemented and expressed as goal setting, self-directed, and receptive attitude. Third, self-satisfaction and problem-solving skills were shown based on their strengths in the task performance process. Fourth, it could be seen that in the process of expressing based on one's interest and experience, connection with one's life and active participation took place. This study is meaningful as a basic study in that it derived key elements that can structure art education programs to improve self-determination of adolescents with developmental disabilities.
The Effect of Ability Grouping on Students' Self-efficacy: Focusing on the Mediating Effect of Teachers' Teaching Activities

본 연구에서는 교사의 수업 활동을 매개로 학생의 자기효능감에 대한 수준별 수업의 효과를 분석하고, 수학 상위반과 하위반의 수준별 수업 참여가 학생의 자기효능감에 미치는 효과를 구분하여 분석하였다. 이를 위해 한국교육개발원의 한국교육종단연구2005 자료를 활용하여 수준별 수업에 참여한 학생들과 그렇지 않은 학생들을 경향점수 기반으로 매칭하고, 일반화선형모형(GLM)을 적용하여 분석하였다. 또한 교사의 수업 활동에 대한 매개효과분석을 실시하였으며 부트스트랩으로 직접효과, 간접효과, 총 효과를 추정하였다. 이러한 과정을 통해 수행된 연구 결과는 다음과 같다. 첫째, 수학 상위반의 수준별 수업의 참여는 수학 교과의 학업적 자기효능감에 정적인 영향을 미쳤지만, 학생의 일반적 자기효능감에는 통계적으로 유의미한 영향이 없었다. 둘째, 상위반과는 달리 수학 하위반의 수준별 수업 참여는 일반적 자기효능감과 수학 교과의 학업적 자기효능감에 모두 부적인 영향을 미쳤다. 셋째, 수학상위반의 수준별 수업의 참여는 교사의 수업 활동을 매개로 수학 교과의 학업적 자기효능감에 정적인 영향을 주는 것으로 나타났다. 넷째, 수학 하위반의 경우 수준별 수업 참여 여부가 수학 교과의 학업적 자기효능감에 미치는 영향에서 교사의 수업 활동의 매개효과가 유의하지 않았다. 이상의 결과를 토대로 후속 연구에 대한 제언을 제시하였다.This study aims to explore the effect of ability grouping and the mediating effect of teachers ‘teaching activities on students’ self-efficacy. Using the data from KELS2005, we carried out propensity score matching between students who participated in ability grouping classes and who did not. GLM(general linear model) analysis and mediating effect analysis were statistically tested by bootstrapping. According to the result, we found that the effect of ability grouping on students’ self-efficacy is positive for high-level students in a math class. Also, the mediating effect of teachers’ teaching activities on students’ self-efficacy is positive for high-level students in a math class. However, although there is no mediating effect of teachers’ teaching activities on students’ self-efficacy in a math class of low level, ability grouping has a negative effect on low-level students.