Reviewerly/exHarmony huggingface dataset:
Quantitative Analysis Technology of Classroom Teaching Based on Facial Expression Recognition Technology and Attention Analysis Technology

As the first classroom teaching mode with thousands of years of development history, it is still an irreplaceable teaching form now and in the foreseeable future.In this paper, the smart education laboratory built by our school is used, and the quantitative analysis of classroom attention teaching based on random cascade regression and PnP method is used to realize the visual display of learning attention.Using the quantitative analysis of facial expression recognition in classroom teaching based on FACS and KNN classification algorithm, using Gabor and ULBPHS feature fusion, after PCA + dimensionality reduction, the learning emotion judgment and output are realized.Using the quantitative analysis of teacher attention based on three-dimensional feature point coordinate transformation of face and viewpoint visualization, the intersection of the rays in the classroom coordinate system on the camera plane is calculated first, and then the mapping point coordinates of the intersection in the teacher's coordinate system are calculated.Finally, the viewpoint visualization in classroom teaching is realized.
Facial Mask Detection and Energy Monitoring Dashboard Using YOLOv5 and Jetson Nano

Health and energy are two important elements of life that must be constantly monitored.In the present pre-endemic or post-pandemic age, it is critical to monitor individuals to ensure that crucial standard operating procedures, such as wearing face masks, are followed.Furthermore, any measures to reduce energy use, particularly in public buildings that are now being utilised again in the postpandemic context, are critical.As a result, this study presents a live dashboard method for tracking both energy and face mask wear.The detection system is built on a Jetson Nano device and is then interfaced to a live dashboard to monitor people who wear masks, including those who wear them incorrectly.The observed findings for the confusion matrix and F1 score are also shown.At the same time, the suggested visual detection system is also capable of monitoring the energy use in the building where the device is mounted.
Weapon Detection in Surveillance Videos Using Deep Neural Networks

Object detection uses computer vision technique to identify and locate objects in an image or video.This feature can help to improve the security level as it can be deployed to detect a dangerous weapon with object detection methods.Driven by the success of deep learning methods, this study aims to develop and evaluate the use the deep neural network for weapon detection in surveillance videos.The YOLOv3 with Darknet-53 as feature extractor is used for detecting two types of weapons namely pistol and knife.The YOLOv3 Darknet-53 is further improved by optimizing the network backbone.This is achieved by adding a fourth prediction layer and customizing the anchor boxes in order to detect the smaller objects.The proposed model is evaluated with the Sohas weapon detection dataset.The performance of the model is evaluated in terms of precision, recall, mean average precision (mAP) and detection speed in frame per second (FPS).
Research on the Adjustment of Physical Education Teaching Content Based on the Big Data of Physical Test Scores in Colleges and Universities

Based on the newly promulgated 'Standards of Students' Health and Physical Fitness', and the big data of physical test scores of 4 colleges and universities in a certain area, this paper will use the fuzzy comprehensive evaluation method to analyze and research the big data of college physical test scores.According to the analysis results, the physical test scores of students in the four colleges and universities are not ideal.The actual physical test scores are mainly concentrated in the passing level, while the excellent and good levels are relatively few, and a large number of students fail the physical test scores.In view of this situation, at the end of this paper, based on the big data of college physical examination results, a method for adjusting the teaching content of physical education courses is proposed, which aims to provide a theoretical reference for the subsequent reform of physical education teaching in colleges and universities, so as to improve the level of students' physical quality and ensure the healthy growth and development of students.
Analysis of the Library Novelty Search Service Scheme Based on ICT Technology

With the rapid developments of fifth-generation (5G) mobile networks and Cloud computing, an increasing number of advanced information and communication technology (ICT) technologies are coming into people's daily life.As one of the most critical sections of smart library, the research of the library novelty search service has attracted significant attention in the last few years.In this paper, an intelligent libraries novelty search service model is proposed.To improve the novelty search service quality, NSAs' novelty service pre-allocation and NSAs' novelty search assignment scheme is proposed.The results show that the proposed scheme is capable of improving the successful ratio of novelty search service requests.
Vehicle Types Recognition in Night-Time Scene

Vehicle type recognition in night-time scene is a challenging issue to be resolved due to insufficient luminance, complex lighting environment in nighttime and scarcity of public night-time vehicle dataset.Hence, in this paper, we analyse and evaluate the performance of several state-of-the-art model architectures including Faster R-CNN, YOLO and SSD for vehicle detection in night-time scene.Through comparison of evaluation metrics, YOLOv3 with DarkNet-53 achieves the best trade-off between detection accuracy and model architecture complexity, with Average Precision (AP) of 87.43%, recall rate of 91.48% and processing speed of 13.06 FPS with UA-DETRAC validation dataset.In addition, daytime to night-time image augmentation techniques through Neural Style Transfer (NST), conditional GAN (cGAN) and Cycle-Consistent Adversarial Networks (CycleGAN) are implemented to increase the number of night-time images for training dataset by translating the daytime images into night-time scene.Among the three approaches, CycleGAN can generate realistic and natural synthesized night-time images which contribute to improving detection accuracy of the vehicle type recognition model from mAP of 91.81% to 96.47%.Finally, we implement multiple objects tracking technique with Deep SORT algorithm to perform vehicle counting.
Research on Personalized Resource Recommendation of Artificial Intelligence Specialty Based on Big Data

With the advent of the era of big data, the application of big data technology in the cultivation of artificial intelligence professionals has accelerated the integration of industry and education, which is of great significance to the cultivation of applied talents.With the rapid development of big data technology, the deep integration of big data and education has become an inevitable trend.We comb the shortcomings of the current undergraduate talent training mode of artificial intelligence.Based on the big data thinking mode, we collected student behaviour data, constructed data collection model and student learning behaviour portrait, and constructed personalized resource recommendation model based on multi-dimensional resource pool.Here, an effective learning resource recommendation algorithm based on ant colony algorithm is designed to realize accurate resource integration and push.Through the application verification, it can be seen that the resource recommendation path based on the current method coincides with the actual use path of learners, which has certain practicability and can meet the actual needs of students at different learning levels, so as to improve the efficacy of students' autonomous learning.
Visualization Analysis of Chinese Traditional Music Literature Based on CNKI in the Past Four Decades (1979–2019)

This paper has conducted a bibliometric analysis of 289 papers entitled "Chinese traditional music" and published in CSSCI and core music journals of Peking University over the four decades, from 1979 to 2019, with the help of CiteSpace.This paper focuses on the external characteristics of Chinese traditional music research, such as the overall change trend, journal distribution and core authors.The study also aims to explore the thematic content and frontier analysis of Chinese traditional music research through the keyword cluster analysis.This paper has found that: 1.In terms of publication, "quantity and quality" tend to grow simultaneously; 2. In terms of research strength, there is a trend of "more quantity and less cooperation"; 3.In terms of research hotspots, it shows the characteristics of "theme concentration and perspective extension".
Family Experience in Care of Patientsdiabetes Mellitus Type 2: Phenomological Study

The function of the family to care for family members with health problems is that the family is able to provide a sense of security, comfort in the environment needed for patient healing.The purpose of the study was to determine the family's experience in treating patients with type 2 diabetes mellitus.The research method was a qualitative type with a phenomenological study design.The participants were 5 people with the sample technique using Snowball Sampling.The data collection method used in-depth interviews and analyzed using the Coallaizi Method.The results of the study: 1) The family said the symptoms of diabetes were frequent urination; 2) Families take time to help self-care patients; 3) Family efforts in healing; 4) Feelings of family anxiety in caring for; 5) Utilize health facilities in blood sugar control.The conclusion is that the relationship between family support and patients, the relationship of family knowledge about type 2 diabetes mellitus, peer relationships in the patient's family, greatly affect patients with type 2 diabetes mellitus in obtaining health such as encouragement to take care of patients.The conclusion of the study can be used as additional insight for families who care for type 2 diabetes patients.
Development and Evaluation of Academic and Curriculum Management System for Secondary School

Academic and Curriculum Management System (SPAKP) is a system developed to help administrators and teachers to record and update students achievement in academic and cocurriculum in one platform.Parents and students can monitor the level of student achievement in the school.This study conducted to identify the important features in the system, develop a prototype of the Academic and Cocurriculum Management System for Students (SPAKP) and evaluate the level of usability of the system prototype among secondary school teachers.45 respondents were randomly selected, consisting half from teachers at SMK Zone R1 Wangsa Maju, Kuala Lumpur.Quantitative approaches were used and data were collected through questionnaire instruments with Likert Five Scale.Data were analyzed using SPSS version 23 and descriptive statistics method.Descriptive analysis found that the system's prototype usability was high and positive with a mean value of 4.36 and a standard deviation of 0.64.This showed that the Academic and Cocurriculum Management System for Students (SPAKP) is well received by teachers and can be used for the future.This system can help teachers to update their student achievement in one system.The system can help parents to monitor the academic and cocurriculum achievement at the same time.
Sentiment Analysis of Cultural Heritage Landscape Elements Using Big Data of Online Comments: A Case Study of the Humble Administrator’s Garden in China

The big data of online comments has been widely used in fields, however, few research on sentiment of cultural heritage conducted.This study explores the sentiment of tourists about the Humble Administrator's Garden using big data of online comments in Ctrip and Qiongyou websites.Word frequency analysis was used to extract the landscape elements and cluster and sentiment analysis were conducted for landscape elements sets.Sentiment analysis was calculated by model of l(w) = n(w) a(w) s(w) m(w).The study shows eight sets of landscape elements interested by tourists exist, in which humanities elements and water related are most considered.The positive sentiment of these two sets is more than 88%, while visiting service is only 69% and stone is 70%.The study provides a supporting attempt of online comment data in the field of cultural heritage, which contributes to the improvement of management and conservation towards the cultural heritage landscape.
The Teacher’s Strategies in Teaching English in Appropriating the Foreign Cultural Contents to Teach English within EFL Context in Jambi

The competency of teachers in teaching English is necessary to determine the success of the students in learning foreign language.In teaching English, the teacher may not separate the language and the culture in order to make the students comprehend the use of the language as a whole.Nevertheless, many language teachers only focus on teaching the students four skills in English, they are writing, reading, listening and speaking.They ignore the importance of teaching cultural contents in their classroom.Meanwhile, the foreign cultural contents material is needed for the students to avoid the cultural gaps or to avoid the culture shock, and make students more tolerant of other people's cultures.This research is conducted with the aim to analyse the teacher's strategies in appropriating the foreign cultural contents to teach English within EFL context in Jambi.This research belongs to qualitative research.The data were taken from the result of interview.The researcher interviewed 6 English teachers who have more than 15 years of teaching experience.The textbook that the researcher used as the reference in doing this research is "Speak Out" that is written by Clare & Wilson and published by Pearson Education.The finding of this research showed that there were three strategies in teaching foreign cultural contents, they were comparing approach, introducing culture as identity and technology in teaching culture.
Design of a Smart Water Storage and Trading Platform Based on Blockchain Technology

A distributed and decentralized smart water storage and trading platform based on blockchain technology for sustainable water supply has been demonstrated in this work.Users in the platform are able to share water resources by selling off or buying in the amount of water that they need.All transactions performed on the blockchain are highly secured and tamper resistance owing to the distributed, decentralized, and immutable features readily available in the Symbol blockchain.This makes the transactions more reliable and cost effective as third party involvement in the verification of users and transactions become redundant.Water is asset tokenized in which users can transact the required amount of water using token without any transaction fee.Cost saving is achieved because a transaction fee is only applicable when the token is exchanged with the Symbol XYM and then converted to conventional currency.Besides, the exchange rate between the token and Symbol XYM can be dependent on the demand and supply of the water instead of a single entity.
Rule-Based Cloud System for Performance Appraisal of Staff in Chinese Universities

Data-driven policies have prevailed among universities globally.Universities hope that the outcomes of faculty members are high quality and in a large quantity.Therefore, universities motivate staff to work hard with annual remuneration bonuses.However, the tedious application process frustrates teachers and brings adverse effects if no suitable systems are available.The paper presents a rule-based cloud computing system to evaluate performance for annual bonus payment applications in Chinese universities.The criteria can be encoded with if-then expressions.Department administrators can add new rules or update existing ones flexibly with this rule-based system.Teachers can upload their achievements through a web browser on different devices.Faculty members know the mark of each item input into the system.The system calculates the final points automatically.Members of the school committee can review and return applications to applicants.All criteria are publicly available for all faculty members.The system simplifies the process of the annual bonus pay application.The transparency encourages teachers to participate in applying for annual bonus pay.The experimental results show that the designed system helped evaluate performancebased annual bonus applications.Teachers spent less time requesting yearly bonus salaries with the rule-based cloud system than with traditional approaches.
Students’ Views on Teaching Strategies in Online Speaking Classes at Universitas Negeri Padang

In language learning, speaking becomes one of the essential skills that should be mastered by university students.Besides, the process of teaching and learning speaking gives challenges to the students.The students have a lack of motivation to get involved during the learning process because of their fear of making mistakes, difficulties in delivering their ideas orally, and shyness.Moreover, due to the Covid-19 pandemic condition, the process of teaching and learning speaking should be changed to online which gives an enormous impact on the students.Besides, the students have various views related to this condition.This study aimed to find out students' views on teaching strategies in online speaking classes.In this descriptive qualitative study, the researcher collected the data from 40 students at the English Language and Literature Department of UNP registered 2020/2021 and 2021/2022 Academic Years chosen by using the proportional random sampling technique.The questionnaire and interview were the instruments that were used to collect the data.The result of this study found that the score of students' views on teaching strategies in online speaking classes is an average of 2.98.It indicates that the students' views on online speaking classes are positive in terms of time efficiency.They have an agreement in the case of teaching strategies, which are beneficial for them in following and comprehending online speaking classes during the pandemic condition.Besides, some suggestions related to online speaking classes also arise.
THE INFLUENCE OF LITERACY AND NUMERACY SKILLS ON THE SUCCESS OF COLLEGE STUDENTS IN THE FACULTY OF TEACHER TRAINING AND EDUCATION

In Indonesia, there are still many 3T zones, it defined as marginal, border, and isolated areas that require special development. College students from 3T zones are more likely to struggle with literacy and numeracy skills. Literacy and numeracy skills are, in fact, one of the success variables for students when they graduate and begin their careers. Literacy and numeracy skills are essential to learning, even university students, to receive learning effectively. The objective of this research is to examine the effect of literacy and numeracy skills on the success of students in higher education based on their GPA, particularly students from the 3T zone. The sample in this study were 57 students of Teachers Training and Education Faculty, Sanata Dharma University. Data were analyzed using simple regression. The results showed that numeracy skills have a positive and significant effect on student GPA but in the weak category with R=0.278. The regression equation Y= 2.429 + 0.033X. Literacy skills have a positive and significant effect on GPA but in moderate category with R=0.488. The regression equation for this effect is Y = 1.911 + 0.076X. Further research should be conducted to investigate not only the mastery of literacy and numeracy skills and their influences on GPA, but also their effect on employability skills.
Anticorruption Card Media for Seventh Grade of Junior High School Students

The development of AKARD learning media is one of the efforts to prevent corruption in the community through education.AKARD designed by adopting the UNO Card game system.The research aims to develop AKARD as an anti-corruption learning media for Class VII State Junior High School Students in Kapanewon Gamping, Sleman, determine the feasibility of AKARD learning media, and determine the effectiveness of AKARD learning media for students.This research uses the Research and Development (R&D) type.The data collection technique used the method of observation, interviews, distribution of pre-test and post-test assessment instruments, as well as the distribution of a questionnaire on the practicality of learning media.The research subjects were seventh grade students at junior high school, civic and Pancasila teachers major, and learning media experts as validators.The object of this research is AKARD as one of learning media.It's hoped that this research can provide innovation in the development of social science in character education, assist educators in conveying anticorruption values to students, and can be applied by parents to provide education about anti-corruption educational values.
Utilization of Microsoft Teams in Indonesian Learning in Class XI DPIB1 SMKN 3 Singaraja

This qualitative descriptive study aims to analyze the operational steps taken by the teacher and the learning outcomes of students in class XI DPIB1 SMKN 3 Singaraja regarding the use of Microsoft Teams as a Learning Management System in Indonesian language learning.The subjects of this study were Indonesian language teachers and 36 students of class XI DPIB1 SMKN 3 Singaraja.Data were collected through observation and documentation methods.This research is important because during learning carried out remotely, students find it difficult to understand the material given by the teacher.The results of the study showed that (1) the operational steps taken by the teacher in using Microsoft Teams consisted of the preliminary, core, and closing activities which still refer to the lesson plans and scientific approach in the Curriculum 2013 and (2) students learning outcomes show that the XI DPIB1 class received the predicate "quite good (C +)" with the average score of knowledge is 73 and the average score of skills is 71.
Experimental Text Design Study on Visual Characteristics of Children with Chinese Dyslexia

Chinese dyslexia is a major obstacle to children's learning progress.This study analyzes the visual and internal characteristics of children's dyslexia, summarizes the adverse psychological and physiological effects of the disease on children, and puts forward two kinds of phenotype design and practical design, so as to alleviate the adverse effects of Chinese dyslexia on children, schools, families and society, improve their learning efficiency and further promote the development of social cultural quality.
University Educational Experience in a Virtual Environment in Times of Covid-19

This article shows the result of the implementation of a work plan designed at PUCE, for students of the master's degree in Educational Innovation, carried out virtually.The experience takes place in the reality of the propagation of Covid-19, in the social and institutional context that determines the teaching praxis and the Ecuadorian student development.The pandemic resulted in an opportunity for the learning process of the master's students.The design of a didactic intervention was proposed to the students, based on the integrative project methodology and incorporating new educational digital tools.The designs had as a requirement the observation of a real and immediate educational reality.In this work, an analysis of the resulting integrative projects is carried out.First, the various components of the designs, the problem detected, the proposed solution and the digital tools involved are verified.It highlights that the response of the master's students to the challenge presented by the pandemic is positively evaluated, which can result in a tool for future teaching performance.