Reviewerly/exHarmony huggingface dataset:
An Optimized CNN-SVM Algorithm for UAV Anomaly Detection

In recent years, drones have been widely used in various fields and have achieved remarkable results. However, due to the particularity of the tasks performed by drones, the staff cannot even take effective repair measures when the drone fails. To solve this problem, this paper proposes an optimized UAV (Unmanned Aerial Vehicle) anomaly detection algorithm based on CNN-SVM (Convolutional Neural Network-Support Vector Machine). Using the public drone anomaly detection data set to simplify the feature engineering construction process and model calculation time, we use the CNN model to organize the feature data of the drone failure into a time-series form and input it to the model convolution layer and pooling Floor. Meanwhile, due to the complex working environment, the fault characteristic data of drones is often not obvious. To further improve the fault identification ability, this paper proposes to add SVM for algorithm optimization. The current difference when the drone fails is considered, and the characteristic sequence of the drone when it is not faulty is input into the SVM model to assist in the judgment of abnormal data. To further verify performance, AUC (Area Under Curve) is used for model performance testing. The experimental results prove that the accuracy of the algorithm proposed in this paper is higher than other common deep learning algorithms.
Commercial load data anomaly detection based on LOWESS

To address the data quality problems of commercial load data, we propose data cleaning algorithm via sliced Locally Weighted Scatterplot Smoothing (LOWESS). The results show that compared with the box plot rule and Seasonal Trend decomposition using Loess (STL), the sliced LOWESS can better match the periodic characteristics of the data and achieve better results on the on office buildings and shopping malls datasets.
Curricular Approach To Contents Of Adults’ Learning And Education

This article addresses the issue of design, organization and implementation of adults’ learning and education contents from a curricular perspective in formal and non-formal education. It bases a concept and the structure of contents for adults’ learning and education related to the fields, profiles and types of formal and non-formal activities, in which adults are included. It identifies a set of principles and procedures specific to the organization of contents in the diversification of forms, technologies and purposes of adults’ training and education. Emphasis is placed on the organization and structuring of contents in relation to the form of educational process’ organization (formal-non-formal education), the type of learning and education (professionalization, lifelong vocational training, qualification, retraining, personal development, etc.); projected/expected outcomes, largely determined by the educational needs of adults. At the same time, the results of a study on the perception of different types of learning and education content of different categories of adults are described. The results of study provide useful information on the selection of learning content in relation to the needs of adults.
Pedagogical Factors That Can Influence The Developmentof Students’ Self-Assessment Competencies

Self-assessment in academia can be described as the students' capacity to generate relevant judgments regarding their own academic achievement, either by reference to the educator's teaching objectives, previous academic achievements, or the academic outcome of their peers.The development of such selfevaluation competencies is greatly influenced by a number of both inner and outer psycho-pedagogical components, such as: learning motivation, level of cognitive development, academic performance, type of school assessment promoted by teachers, teacher's didactic style, student's family, social and group status/membership, etc. Beginning from here, the aim of this research was to identify how students' academic performance can influence their self-assessment skills expressed by the level of objectivity of this process.The research sample consisted of 56 students, currently enrolled in the courses of the Training Program in Psychopedagogy and Methodology.Having undergone several self-assessment testsover the course of theiracademic years, the students were asked to self-assess their own examreadiness while taking exams in two disciplines of academicstudy.The research results showed that students with high academic performance have a better capacity for didactic self-assessment, an aspect with major connotations in terms of their professional and personal development.
Human Relations In The Digital Era Of The Educational Process

This paper examines a group of students from the Technical University of Civil Engineering Bucharest in order to observe how interpersonal relationships have evolved in the education process in the construction domain over the past two years.The paper studies the interpersonal relationships of the students nowadays after a period of online-only learning, compared to previous relationships, their impact on the learning outcomes, and the evolution of their physical, mental and emotional health in this context.The study includes questionnaires addressed to final year bachelor students and master's students, which analysed: how their life as students has changed, how their collegial relationships have evolved, how their performance in the learning process has been influenced in relation to relationships by the digitisation of educational systems.The quality of outcomes in the educational process was and is strongly influenced by the quality of our interpersonal relationships.Social relationships are closely related to professional success, to good learning performance, to good physical, mental and emotional well-being.The study analysed the consequences of the digitisation of educational systems, with online-only learning leading to reduced social interaction or even social isolation of most students.The progress of science/technology, knowledge, digitalization, robotics, artificial intelligence will increasingly change people, their psyche and social relationships and the educational process as a whole.All this is a challenge in adapting to change, finding balance and keeping it.
Research on Anti-Obscure Target Tracking Method Based on Feature Adaptive Fusion

Target tracking is a branch of computer vision. To solve the problem in tracking, a method of adaptive fusion of multiple features is proposed, which extracts HOG and CNs features and assigns weights adaptively. A scale adaptive method is proposed to adapt to the change of target scale. An occlusion weight detection method is proposed, APCE is tracked to determine whether occlusion occurs in the target, and SVM classifier is used for re-detection. Using OTB dataset, the overall tracking accuracy and success are 0.797 and 0.728 respectively, which are 35% and 51% higher than traditional KCF algorithm.
PENGEMBANGAN BUKU CERITA BERGAMBAR PADA KETERAMPILAN MEMBACA SISWA TEMA 2 MENYAYANGI TUMBUHAN DAN HEWAN SUBTEMA 4 MENYAYANGI HEWAN PEMBELAJARAN 1

A picture story book is a book that contains stories accompanied by pictures or illustrations to support the contents of the story. Reading is a useful activity that can provide various information. Indonesian reading skills are still relatively low. This study aims to get a picture story book product with theme 2 loving plants and animals sub-theme 4 loving learning animals 1 in class III SDN Cibunar 01 with a total of 20 students as respondents. This development uses the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. The results of the validation test of linguists, materials, and media experts show that picture story books are valid and very feasible to use to obtain an average percentage of 80%. In the limited trial phase as many as 20 students gave a positive response to the picture story books used. Based on the results of the study, it can be concluded that the picture story book developed in this study proved to be valid, interesting and very useful for use in students' reading skills.
PENGEMBANGA MEDIA KOMIK DIGITAL BERBASIS PHOTOSHOP TEMA PANAS DAN PERPINDAHANNYA SUBTEMA SUHU DAN KALOR

Learning media is one of the strategies that can be used teacher in helpimh the learning process in the class, the lack of us of learning media that the delivery of learning materials greatly affects students' ability to understand learning materials, especially in science learning. The research metod in this studi is the Research and Development (R&amp;D) with the ADDIE delevopment model namely Analysis, Design, Development, Implementation, and Evaluation. This ADDIE model is used to help develop photoshop-based digital comic media which can be used as an alternative in helping the learning process. Based on the results of the validation of media experts, they got a validity score of 80% with very valid criteria, the validation results of linguists got a validity score of 76.36% with valid criteria, and the results of material expert validation got a 95% validity score with very valid criteria. This photoshop-based digital comic media is very valid and can be tested on teachers and students at school. Based on the results of the test through the teacher's response questionnaire, the response score was 86.66% and the test on the student's response got a score of 92.8% with a very good category. Based on the results of the two trials, it can be concluded that this photoshop-based digital comic media is valid and very well used in science learning.
PENGEMBANGAN MEDIA BIG BOOK DENGAN METODE SAS UNTUK MENINGKATKAN KEMAMPUAN MEMBACA PERMULAAN SISWA KELAS 1 SEKOLAH DASAR

The problem in this study is the lack of development of learning media. The aim is to determine the validity, practicality, and effectiveness of big book media using the SAS method to improve the beginning reading skills of grade 1 elementary school students. This research is research and development with a design from Borg and Gall 10. The validity test was carried out by experts with a score of 90% for the material aspect and 90% for the learning media aspect, both of which are in the very valid category. The practicality test was obtained from student and teacher questionnaires which were stated to be practical by students by obtaining an average score of 87.25 in the very good category and the practicality/readability response of practitioners by the class teacher obtained a score of 88 in the very good category. Based on peer assessment, scores obtained with intervals of 85 are in the very good category. The result of the paired sample t test is 0.000. The n gain value obtained is 0.50 with the moderate improvement category. The results of the research show that the big book media with the SAS method developed is proven to be valid, practical, and effective so that it is very suitable for use in learning Indonesian in elementary schools to improve the beginning reading skills of grade 1 elementary school students.
PENERAPAN BUDAYA LITERASI UNTUK MEMBENTUK KARAKTER SISWA GEMAR MEMBACA

The background that drives this research is that there are students who are less fluent and interested in reading at SD N 2 Burikan, this is because students tend to use cellphones more often than doing reading activities. The problems in this study are 1) How is the implementation of the literacy culture of characters like to read in the teaching campus program 4 at SD N 2 Burikan Kudus?, 2) How is the impact of the application of the literacy culture of characters like to read in the teaching campus program 4 at SD N 2 Burikan Kudus?. The objectives to be achieved in this study are 1) Describing the implementation of the literacy culture of characters who like to read through the Teaching Campus 4 program at SD N Burikan 2 Kudus. 2) Knowing the impact of implementing a culture of literacy for characters like to read through the Teaching Campus 4 program at SD N 2 Burikan Kudus. This type of research is qualitative research. The study population is all grade III students of SD N 2 Burikan for the 2022/2023 academic year. The samples taken were grade III students, homeroom teachers and the principal of SD N 2 Burikan for interviews. For this sampling are selected with high, medium, low categories. The data in this study was obtained through observation, interviews, questionnaires, and documentation. The results of the analysis of the application of reading literacy culture and based on the results of interviews show that literacy activities held in schools are very helpful for improving students' reading skills. Literacy activities carried out every day at SD N 2 Burikan can also develop student character, especially in reading.
MEDIA

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 60, Issue 3 p. 23972C-23973C Social and Cultural MEDIA First published: 10 April 2023 https://doi.org/10.1111/j.1467-825X.2023.11009.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume60, Issue3April 2023Pages 23972C-23973C RelatedInformation
Pengaruh Principal Component Analysis Pada Naïve Bayes dan K-Nearest Neighbor Untuk Prediksi Dini Diabetes Melitus Menggunakan Rapidminer

Patients with diabetes mellitus experience disturbances in the metabolic system caused by the pancreas not producing insulin or using insulin in metabolism that is not effective more and more.Concern for healthy living has decreased drastically, so the spike in deaths from this disease is high.Many people do not understand the early symptoms that appear, making it difficult to recover.This is because there is no early prediction of sufferers of the disease.This study explains the effect of principal component analysis (PCA) to find optimal features in the classification of early prediction of diabetes mellitus in naïve Bayers and k-nearest neighbors plus the open rapidminer application that can be used as a test tool for data accuracy.The research material used comes from the Learning Repository Early Stage Diabetes Risk Prediction Dataset from the Kaggle website, namely diabet_data_upload.csv.The number of records used is 520 rows of data and 17 table names for each existing row of data.The purpose of using the two grouping methods is to show the most accurate accuracy of the processed data.The results of the study provide a study that the k-nearest-neighbor formula with principal component analysis can work better than just k-nearest-neighbor.The performance of k-nearest neighbor with principal component analysis (PCA) is better with an accuracy value of 93.27%, while the accuracy without principal component analysis in this case only
Dependency Features of English Nouns in China News English

Nouns are one of the most frequently used word classes in English.As one variety of "World Englishes", China English has received much concern in recent years.However, most research on nouns is still at the cognitive aspect or in the traditional qualitative way.As a new quantitative method, dependency grammar reveals the internal relations among the words in the sentence.Therefore, the syntactic features of nouns in China News English can provide a new perspective.The raw material of China English in this study is randomly crawled from China Daily, and the News part in the Corpus of Contemporary American English (COCA) from 2013 to 2016is selected as the reference corpus.By using the Jupyter Notebook based on Python, the dependency treebanks are generated.After comparing the proportion of the word classes, dependency direction, and dependency distance of different dependents of nouns in China Daily and COCA, this paper finds that 1) On the whole, the categories of dependents in China English and American English are similar.Determiners, adjectives, nouns, prepositions, verbs, numbers, proper nouns, conjunctions, pronouns and particles are the top ten frequently-used modifiers of nouns.Compared with American English, China English tends to use more adjectives and nouns, while the determiners especially the articles and pronouns are relatively less used.2) Both in China English and American English, the percentage of HI constructions and HF constructions is close to 50%.China English tends to be more right-embedded than American English.Compared with AmE, in ChiE, prepositions, conjunctions and participles are more frequently used as post-modifiers.3) The mean dependency distance value of China English (2.68) is larger than American English (2.61).Both in China English and American English, the mean dependency distance of pre-modifiers is shorter than in post-modifiers.The longer the mean dependency distance value is, the more difficult is in processing the information.It indicates that in the News domain, China English is more difficult to be processed in expression.This research provides a new perspective to studying English variants and enriches the current research on nouns.
Exploration of the Reform Path of College Music Teaching under the Background of New Media

With the rapid development of domestic social economy and science and technology, it has played an important role in driving the development of all walks of life in China.In recent years, the domestic new media field has developed rapidly, among which various new media platforms have occupied people's vision and played a very good role and effect in the field of education.Among them, the advantages of new media are short, flat and fast.Applying it in the process of college music teaching can not only make college music teachers more "get twice the result with half the effort" in the process of teaching, but also enable college students to obtain important support for independent music learning, so as to achieve better learning results.In other words, under the background of new media, music teaching reform in colleges and universities has a good opportunity to form a comprehensive improvement of teaching effect, which is also one of the main goals of music teaching reform in colleges and universities.
Motivation of Students for Teaching Career

The contemporary European context foreshadows many challenges for young people who want to pursue a teaching career. Our study is of interest in the initial preparation for the teaching career of students who have experienced online school and who are required to reconfigure their training in the direction of solid skills, especially digital. Opinion polls reveal a demotivation of students towards school learning, a fact amplified by the Coronavirus pandemic that fundamentally changed the development of the educational process. University departments that train teachers have struggled to provide high-quality training due to the limitations of the pandemic. In the perspective of similar challenges, the initial training of teachers is much more intensely calibrated to the technological needs of education. Requests to increase the quality of education that depend on the quality of teachers are imperative. This study is conducted to find out the opinion of future teachers about the training requirements for the teaching profession. The aim of the study is to survey among young people preparing for teaching careers their motivation for learning in the context and in the perspective of professional teaching standards. The methodology includes recruitment, sampling and application of tools. We used opinion questionnaires to identify the reasons for choosing the initial training in the educational field and the awareness of the difficulties and standards required by this profession. The conclusions of the article indicate that the reasons for choosing a teaching career are diverse, associated with individual options and a superficial knowledge of a teacher's skills.
Structural Relationship between variables related to learning performance of adult learners in public lifelong education institutions

The purpose of this study is to confirm the learning participation motivation(purpose-oriented, learning-oriented, activity-oriented), self-efficacy directly affects learning performance, and self-efficacy mediating effects of adult learners in lifelong education. To achieve this goal, the structural equation model was analyzed using the SPSS 23.0 statistical program and the AMOS 23.0 statistical program for a sample of 585 people who participated in public lifelong education institutions in U and Y cities in Gyeonggi-do. The results of the empirical analysis of this study are as follow. First, among the sub-factors of learning participation motivation, learning orientation and activity orientation each had a positive(+) effect on learning performance, and second, a positive(+) effect on self-efficacy. Third, self-efficacy confirmed the positive(+) effect on learning performance, and fourth, the partial mediating effect of learning orientation, activity orientation, and self-efficacy between learning performance was confirmed. Based on the results of this study, implications for vitalizing lifelong education were presented at the policy and practical level.
Evaluation of the School Literacy Movement on HR competence in SMA Penggerak

The results of a 2012 UNESCO survey related to reading interest of the Indonesian peoplefound very alarming results, namely 0.001 percent. This means that in 1000 people, there is only one person who has an interest in reading. This study aims to evaluate the School Literacy Movement which is a program that is supported collaboratively by various elements to improve literacy outcomes. This research is an evaluative research with a qualitativedescriptive approach and uses the CIPP model. The results of the research found that SMAPenggerak human resources and all school members worked together to develop various programs that were interesting and in accordance with the student's era. It is hoped that theschool literacy movement program will continue to experience improvements that refer to theguidelines for the literacy movement in high schools which continue to experiencedevelopment every year
NAYAN NIRIKSHAN - Violence Detection Using Surveillance Camera

MOVE-NET POSE ESTIMATION IS A METHOD FOR REAL-TIME POSTURE AND MOVEMENT DETECTION OF THE HUMAN BODY USING DEEP LEARNING ALGORITHMS. MOVE-NET POSE ESTIMATION CAN BE USED TO EXAMINE THE VIDEO STREAM AND FIND ANY UNUSUAL OR VIOLENT BEHAVIOUR WHEN DETECTING VIOLENCE USING SECURITY CAMERAS. A SERIES OF KEY POINTS INDICATING THE POSITION OF JOINTS AND LIMBS ARE PRODUCED BY THE SYSTEM, AND THESE KEY POINTS CAN BE USED TO RECOGNIZE PARTICULAR MOVEMENTS AND POSTURES THAT ARE SUGGESTIVE OF VIOLENCE. THIS ENHANCES THE OVERALL SECURITY OF THE MONITORED LOCATION BY ENABLING THE REAL-TIME DETECTION AND RESPONSE TO VIOLENT SITUATIONS. ADDITIONALLY, MOVE-NET POSE ESTIMATION CAN BE TAILORED TO RECOGNIZE PARTICULAR POSTURES AND MOTIONS IN VARIOUS SETTINGS AND CONNECTED WITH OTHER SECURITY SYSTEMS LIKE ALARMS AND ACCESS CONTROL. BUT THERE ARE CONSTRAINTS. Index Terms— Move-Net Lightning, Yolo v3, Single-Pose Detection, Convolutional Neural Network, Violence and Non-violence activity (CNN).