Reviewerly/exHarmony huggingface dataset:
Fuzzy Logic Weighted Averaging Algorithm for Malaysian Banknotes Reader Featuring Counterfeit Detection

This paper proposed a novel fuzzy logic weighted averaging (FLWA) algorithm in image processing techniques to detect counterfeit Malaysian banknotes. Image acquisition techniques on banknote position detection and re-adjustment, image pre-processing techniques, feature extraction methods on Malaysian banknotes’ watermarks are also covered in the paper. The FLWA Algorithm has the advantage of a much simpler model since it is a human guidance learning algorithm that does not require enrolment process to get the specific weights for each security feature. Each security feature is treated with equal weight. The experimental results also shown that FLWA model also outperform the MobileNet model and VGG16 model in Malaysian banknotes’ counterfeit detection. It has a distinct advantage over earlier or current banknote counterfeit detection techniques in that it adopted the known watermarks features, with known machine learning techniques to identify real Malaysian banknotes and detect those counterfeit Malaysian banknotes.
Twice attention networks for synthetic speech detection

Automatic speaker verification (ASV) systems are highly vulnerable to synthetic speech attack. And the artifacts are the key spoofing clue to distinguish real and synthetic speech. In this paper, we focus on the detection of artifacts and proposed the twice attention networks (TA-networks). It is an end-to-end network which consists of feature extraction module and back-end classifier. The feature extraction module is the core of the TA-networks, and it is a twice attention Unet (TA-Unet). It contains two sequential attention modules: (1) a five-layer U-shaped network with attention gate to first obtain the general contour of artifacts and then (2) a softmax-based filter with adaptive coefficient to dynamically highlight the differences between different frequencies, and these differences can be regarded as elaborate artifacts. After the processing of the TA-Unet, the feature maps of real and synthetic speech are more discriminative for the back-end SCG-Res2Net50 classifier. Experimental results show that the TA-networks achieve equal error rates of 1.62% on ASVspoof 2019 logical access sub-challenge, and it is significantly better than most of the other experimental models.
EDUCATION OF CONSCIENCE IN TEENAGERS

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.
USE OF DIGITAL EDUCATIONAL RESOURCES WITH THE PURPOSE OF STUDENTS’ BASIC KNOWLEDGE ACTUALIZATION

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.
MOTIVATIONAL COMPONENT IN THE STRUCTURE OF READINESS FOR CREATIVE PROFESSIONAL ACTIVITY OF FUTURE PRIMARY SCHOOL TEACHERS

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.
AN INNOVATIVE SCHOOL IS AN EDUCATIONAL INSTITUTION OF THE FUTURE

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.
FEATURES OF CREATING A REFLECTIVE EDUCATIONAL ENVIRONMENT FOR THE DEVELOPMENT OF CRITICAL THINKING

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.
FEATURES OF PSYCHOLOGICAL AND PEDAGOGICAL INTERACTION IN INSTITUTIONS OF HIGHER EDUCATION UNDER THE CONDITIONS OF THE STATE OF MARTIAL

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.
Development of Teaching Model for Strengthening Music Education Competence of Pre-service Nursery Teachers at Cyber University: Focusing on Metaverse

본 연구는 온라인과 오프라인의 경계가 모호해지는 상황에서 새로운 표준으로 제시되는 비대면 온라인 수업으로 제공되는 예비보육교사의 음악교육 수업이 갖는 실습기회 부족이라는 한계를 극복하기 위한 과제가 무엇이고, 도출된 과제를 실현하는 방안을 제시하기 위한 목적으로 진행되었다. 구체적으로 사이버대학교 예비보육교사의 음악교육 역량 강화를 위한 당면과제가 무엇인지를 도출하고, 도출된 과제를 실행할 수 있는 대안으로 메타버스를 활용한 수업모형을 개발하는 것을 목적으로 하였다. 이러한 연구의 목적을 달성하기 위해 4단계로 연구를 진행하였다. 첫 번째 단계는 사이버대학교의 예비보육교사에게 요구되는 아동음악 교육에 관련된 필요 잠정적인 과제를 도출하기 위해 전문가 4인과 초점집단인터뷰를 하여 4개요소 17개 항목의 잠정과제를 도출하였다. 두 번째 단계는 도출된 과제에 대한 사이버대학교 아동 음악교육분야 전문가 12명을 대상으로 2023년 2월 5일부터 3월 15일까지 델파이 조사를 2회 실시하였다. 세번째 단계는 델파이 조사를 통해서 수집한 자료를 분석하여 교수법 역량, 학습콘텐츠 내용 구성, 수업의 설계, 평가와 학습 성과의 공유의 총 4가지 요소와 15개의 세부항목의 최종 과제를 도출하였다. 네 번째 단계는 도출된 요소를 메타버스에 적용하기 위해 매칭하는 과정으로 자기주도적 반복, 개별화된 문제해결, 실습기회 확대, 즉각적인 피드백의 4가지 요소를 도출한 후, 메타버스를 활용한 교수법 수업모형을 적용한 교수법 강의 수강 단계, 수준별 미션 분석 단계, 미션 해결책 공유단계, 미션평가 및 피드백의 최종 4단계를 개발하였다. 본 연구를 통해 사이버대학교 아동 음악교수법 실습 플랫폼으로써 메타버스의 활용가능성을 특화기법의 도입과 개발 측면까지 확인하였다. The purpose of this study is to develop tasks to overcome the limitations of lack of practice opportunities in music education classes in non-face-to-face online classes, which are presented as a new standard of education, and to develop ways to implement the tasks. The research question is to derive what is the immediate task for strengthening the music education capacity of pre-service nursery teachers in cyber university, and to develop a practice prototype using the metaverse as an alternative to implement the derived task. To achieve the purpose of this study, the study was conducted in four stages. In the first step, a focus group interview was conducted with 4 experts to derive tentative tasks related to children's music education required of pre-service nursery teachers at cyber universities, and 4 elements and 17 items of tentative tasks were derived. In the second step, a Delphi survey was conducted twice from February 5 to March 15, 2023, targeting 12 experts in the field of children's music education at Cyber University for the derived tasks. In the third step, the data collected through the Delphi survey were analyzed to derive the final task of 4 elements and 15 detailed items: pedagogical competency, learning content composition, class design, evaluation and sharing of learning outcomes. The fourth step is the process of matching the derived elements to apply to the metaverse. After deriving the four elements of self-directed repetition, individualized problem solving, expansion of practice opportunities, and immediate feedback, a teaching method using the metaverse is developed. The final 4 stages of teaching method applied were developed: course attendance stage, mission analysis stage by level, mission solution sharing stage, mission evaluation and feedback. Through this study, the possibility of using Metaverse as a practice platform for children's music teaching method at cyber university was confirmed even in terms of introduction and development of specialized techniques.
Exploring the operation status and direction of the Youth Gugak Orchestra - Centering on the Youth Gugak Orchestra in Cheonan-si and Cheongju-si, Chungcheong-do -

본 연구는 충청도 천안시와 청주시에 소재하는 3개 청소년 국악관현악단의 운영 실태를 비교해 보고 방향성을 모색해 보고자 하는 것이 목적이다. 이를 위해 2022년 11월부터 2023년 4월까지 청소년 국악관현악단 3개 단체의 운영 현황을 알아보았으며 국악관현악 교육에 대한 인식 조사를 위해 129명의 단원들을 대상으로 하여 설문 조사를 실시하였는데 다음과 같은 분석 결과를 얻을 수 있었다. 먼저, 단원들이 갖고 있는 국악에 대한 관심도는 긍정적 답변이 69.6~77.3 %로 높아졌으며, 활동 만족도는 전반적으로 80~85%의 높은 만족도를 보였다. 연주곡 난이도에 대해서는 창작곡을 어려워하는 단원이 많게는 37%로 나타났다. 또한 국악관현악곡 외에 다른 국악 곡을 연주해보고 싶다는 응답이 사물놀이 - 대취타 - 국악 성악 - 정악 순으로 높았다. 이러한 조사 결과를 바탕으로 청소년 국악관현악단의 바람직한 운영과 발전을 위해서 요구되는 몇 가지 제안을 하고자 한다. 첫째, 청소년 단원들의 수준을 고려하여 연주능력 편차를 줄이는 교육 프로그램 개발이 필요하다. 또한 청소년 단체에 걸맞는 국악관현악 창작곡을 위촉하거나 청소년 수준에 맞게 재편곡하여 연주함으로서 단원들의 음악적 성취감을 키우는 노력이 필요하다. 둘째, 국악관현악 외에도 다양한 곡을 접하게 하여 실력 향상을 도모하도록 하여야 하겠다. 셋째, 강사의 교육능력 향상을 위한 별도의 연수 프로그램이 필요하다. 이는 강사들을 대상으로 한 교육 컨텐츠로 제작하여 가상연수를 분기별로 실시하는 것도 고려하였으면 한다. 또한 강사 결근 시 임시 강사 확보에만 의존하기보다 지휘자를 중심으로 한 팀 티칭 방식의 대체 프로그램 수립도 필요하다. The purpose of this study is to compare the operation status of the three youth Gugak Orchestra located in Cheonan-si and Cheongju-si, Chungcheong-do, and to seek directions. To this end, from November 2022 to April 2023, the operation status of three youth Gugak Orchestra organizations was investigated, and a survey of 129 members was conducted to investigate the perception of Gugak Orchestra education, and the following analysis results were obtained. First of all, the members' interest in Korean traditional music increased to 69.6 to 77.3%, and the overall satisfaction with the activity was high at 80 to 85%. As for the difficulty of the performance, as many as 37% of the members found it difficult to make creative songs. In addition, Samulnori, Daechwita, Korean traditional music, and Jeongak were the highest in the order of wanting to play other Korean traditional music. Based on the results of these surveys, I would like to make some suggestions required for the desirable operation and development of the Youth Gugak Orchestra. First, a separate program is needed to reduce the variation in the performance level of the members. Second, in addition to Gugak orchestral music, various songs should be introduced to improve their skills. Third, a separate training program is needed to improve instructors' educational skills. It would be nice to consider making it an educational content and conducting virtual training quarterly. In addition, it is necessary to establish an alternative program for team teaching centered on the conductor rather than relying on the temporary instructor when the instructor is absent.
Virtual Reality's Effect on Educational E-learning Platforms

Students now rely more on online learning than on-campus instruction. As a result, we intend to create a project that will assist students in understanding topics through the use of augmented reality (AR). The only aspect of e-learning being studied at the moment is knowledge transmission online. We want to upgrade e-learning with AR due to time restraints and other technological issues. In order to virtualize the notion for students studying three-dimensional geometry, our objective is to create an e-learning framework for three-dimensional geometry. Students may quickly understand the idea visually with the aid of modern mobile phones by placing their phones on the actual QR code readers. Using AR, it will provide a clear and visual explanation of the idea. For instance, if the student holds up his phone in front of the switch or router, it will clearly explain the components. Then, it may be used in any subject or industry. We want to employ Vuforia and UNITY 3-D software to accomplish our aim. The software development kit (SDK) for augmented reality (AR) on mobile devices called Vuforia facilitates the development of AR apps. It recognizes and tracks planar pictures and 3D objects in real time using computer vision technologies. Games and other visuals in both 2D and 3D may be made with Unity.
Efficient Coding in Human Vision as a Useful Bias in Computer Vision and Machine Learning

Interdisciplinary research in human vision has greatly contributed to the current state-of-the-art in computer vision and machine learning starting with low-level topics such as image compression and image quality assessment up to complex neural networks for object recognition. Representations similar to those in the primary visual cortex are frequently employed, e.g., linear filters in image compression and deep neural networks. Here, we first review particular nonlinear visual representations that can be used to better understand human vision and provide efficient representations for computer vision including deep neural networks. We then focus on i2D representations that are related to end-stopped neurons. The resulting E-nets are deep convolutional networks, which outperform some state-of-the-art deep networks. Finally, we show that the performance of E-nets can be further improved by using genetic algorithms to optimize the architecture of the network.
Students' Anxiety in Reading Aloud at MTs Negeri 3 Bolaang Mongondow Timur-Sulawesi Utara

Students' Anxiety in Reading Aloud at MTs Negeri 3 Bolaang Mongondow Timur was a study that aimed to find out what factors influence students anxiety in reading aloud. This study employed descriptive qualitative method with a qualitative approach. The participants were 15 students in VIII-1 class of MTs Negeri 3 Bolaang Mongondow Timur-Sulawesi Utara. Furthermore, the data was analysed and portrayed into charts, then discussed with existed theories. The result of the research revealed some factors that make students feel anxious in reading aloud. First, personal factors caused students felt anxious such as worry about reading effects and afraid of making an error. Second, the text features also influenced the anxiety in reading aloud such as unfamiliar culture, unfamiliar topic, and unknown vocabulary. By understanding the result, it suggested to the teacher to implement several ways to minimize the students’ anxiety such as determining the times of reading aloud, encouraging the students to learn while reading and providing feedback in illustrating language learnt, using text talk, print referencing, and previewing. As a result, this study contributes to the improvement of techniques that the teacher used in conducting reading aloud activity to reduce the students’ anxiety.Keywords: Anxiety, Reading Aloud
Students’ Perception on Learning Grammar through Social Media during Covid-19 Pandemic

This study aimed to describe students' perceptions in learning grammar using social media during the Covid-19 pandemic. This research used qualitative method with descriptive analysis. The subjects of this study were 20 students who had been taught grammar through social media due to the Covid-19 pandemic outbreak in the third semester of the English Education Department of the Sultan Amai State Islamic Institute of Gorontalo in the academic year 2020/2021 which were taken with a purpose. Data collection that used was questionnaires and interviews. The data obtained were analyzed through data reduction, data display, and drawing conclusions / data verification. The results of this study indicated that Students perception show that the most preferred social media for learning grammar by using social media was YouTube, Zoom, and WhatsApp and based on the result of research it showed that learning grammar by using social media are quite diverse and elaborate it. was very helpful, increasing the value, quite flexible but less motivated, less facilitated, not effective, has more disadvantages than advantages and less of interested. Based on students’ perception, 15 out of 20 students feel that they are not facilitated by the network to access the internet to learn grammar online because many students learn in their respective areas which are still difficult to signal to access the internet. Keywords: Grammar Learning, Social Media, Students’ Perception
Development and implementation of a game-based learning system with real-time facial emotion recognition technology

This study aims to design and implement an innovative game-based learning system based on real-time facial emotion recognition technology to enhance learners' motivation and engagement. This paper will discuss the background, objectives, methodology, and experimental results related to the system development.
Evaluation and Analysis of Environmental Carrying Capacity of Recreation Area in Qinglong Lake Wetland Park

With the rapid development of cities, the contradiction between citizens' demand for recreation and the limited area of green space in parks has become increasingly prominent. Research on recreation environmental carrying capacity is conducive to solving this problem. This paper uses analytic hierarchy process to determine the index weight, fuzzy mathematics to determine the degree of membership, and finally determines the comprehensive evaluation model of environmental carrying capacity of Qinglong Lake Wetland Park. The research results provide guidance for solving the contradiction between citizens' recreation needs and the limited area of green space in parks.
Research on the Teaching Reform of Computer Public Course in Local Colleges and Universities

This paper takes local colleges and universities as the research scope, takes the teaching situation of computer public courses as the research object, analyzes the problems existing in the teaching of computer public courses in local colleges and universities, and puts forward some improvement strategies. Through reform, it is expected to improve the overall teaching quality of computer public courses and better achieve the teaching goal of improving students' information literacy.
Thoughts on Ensuring the Teaching Quality in Nanjing Universities

There is a large number of colleges and universities in Nanjing, and the quality of education is among the best in China. However, it is still difficult to avoid some problems that hinder the improvement of teaching quality. This paper makes relevant research on the teaching status of universities in Nanjing, analyzes the problems existing in the teaching quality in Nanjing, and puts forward relevant suggestions and opinions from the three main aspects of students, teachers and universities.
MoCapDT: Temporal Guided Motion Capture Solving with Diffusion Transfer

We present an approach to reconstruct the joint location from noisy marker position in 4D data. The 4D data means the 3D location of different markers and time sequence. At the core of our approach, we apply a modified diffusion model architecture to transfer and denoise the raw marker information in the latent space under the guidance of other temporal data. Then we decode the latent space to not real skeleton 3D space. This enable us not only utilize the temporal guidance, we further utilize the iterative denoising technique to exploit the potential in the diffusion network. Furthermore, we demonstrate that our work outperform auto- encoder based deep learning model by large margin during our experiment on CMU-Synthesized data set and some real-world dataset provided by NC-SOFT.
English Writing Instruction Based on Core Literacy

How to improve students' writing skills comprehensively and systematically? How to consolidate the foundation of unit writing? How to improve student's writing ability effectively? How to read questions quickly, make ideas accurately and express them appropriately? Many years of teaching experience have made me understand the importance of comprehensively and systematically consolidating students' writing skills. After years of exploration and continuous improvement, I gradually formed today's "model essay by students' writing guidance based on core literacy.
Research on Residual Convolutional Neural Network for Handwritten Digit Recognition

The technology of handwritten digit recognition has been widely applied in various situations and has significant practical significance. However, the morphological features of handwritten numbers are very complex, and achieving accurate recognition of handwritten numbers relies on efficient and accurate recognition techniques. This article proposes a residual convolutional network model to address the issues of inaccurate feature extraction and weak model generalization ability in convolutional neural networks. By introducing residual blocks into the network, the problem of vanishing and exploding network gradients is effectively eliminated. At the same time, the Batch Normalization and Dropout layers are introduced to accelerate the network training process and reduce the risk of overfitting. Finally, the k-fold cross validation method was used to select the optimal parameter configuration of the model. The experimental results show that residual convolutional neural networks have the characteristics of high recognition accuracy and strong model generalization ability.
A Case Study of Precision Teaching Based on the Consistency of "Teaching, Learning and Evaluation"

"Reading and Thinking" is one of the key teaching contents in High school English, including three stages: before-reading, while-reading and post-reading. This process emphasizes students' accurate participation and requires students' real reading experience. However, the actual reading comprehension teaching still focuses on the identification, extraction and understanding of factual information in reading content, and there are not many involved in analysis, evaluation, judgment and interpretation (Cheng Xiaotang, 2017). Thus, this paper takes the "Reading and Thinking" section in senior high school English as an example, discussing the practical application of the consistent precision teaching method of "teaching, learning and evaluation" in reading and thinking, aiming at achieving effective teaching to avoid repetitive and ineffective teaching.
Exploration of Teaching Reform in Programming Courses under the Background of Emerging Engineering Education

In the context of new technologies, in order to accelerate the pace of building a technological powerhouse, the government has proposed to involve everyone in the smart education program and actively promoted the teaching of programming. The government encourages schools at all levels to offer programming courses and introduces artificial intelligence training in education at all levels. In the actual teaching process of programming, many teachers' teaching methods are relatively monotonous and cannot effectively stimulate students' interest and participation in learning. The blended teaching method advocated in this article referred to organizing students to watch online video courses through online learning platforms, and scientifically and reasonably dividing students into different groups in the classroom. By implementing the content of online video courses through offline group collaboration teaching, students could play a leading role in the classroom, thereby improving the teaching quality of programming courses. The final survey analyzed that students' classroom performance in terms of professional norms and their ability to complete assignments individually and in groups improved by 30%.
Research on the Strategy of Implementing Quality Education in Primary School Teaching

The teaching of primary school stage is the foundation period of how to train students to study correctly and cultivate students' good study habits, and it is also the best period for the implementation of quality education. Therefore, it is very necessary to implement quality education in primary school teaching to promote the all-round and healthy development of primary school students. Therefore, we should pay attention to and improve the way and method of implementing quality education in primary school teaching, and effectively implement quality education strategy in teaching, so that students can make the overall quality get comprehensive development and improvement under the good guidance of teachers.