Reviewerly/exHarmony huggingface dataset:
Detection of Face Mask using Convolutional Neural Network (CNN) based Real-Time Object Detection Algorithm You Only Look Once-V3 (YOLO-V3) Compared with Single-Stage Detector (SSD) Algorithm to Improve Precision

Proposed work refers to detect face masks using a CNN based on a real-time object detection algorithm in comparison to (Single Stage Detector) SSD, Yolo-V3. The Yolo-V3 algorithm is proposed and compared to the SSD algorithm. The sample size was calculated using G power (80%), and it was discovered to be 40. (i.e. For each group 20). There is a statistically significant difference of 0.000637 (p<0.5) between the two groups. The Yolo-V3 has an average accuracy of 91.28 and the SSD has an average precision value of 86.65. The Yolo-V3 algorithm has improved for preventing the spread of COVID-19 through precautionary measures.
Detecting Images with Adult Content Using SURF and Haar Wavelet

Detecting images with adult content is one of the necessary and challenging problems in the fields of machine learning and machine vision. It can be used for a variety of applications such as content filtering and censoring, and user tracking, and banning
Blockchain Architecture Based on Decentralised PoW Algorithm

Blockchain has gained increasing popularity across various industries due to its decentralized, stable, and secure nature.Consensus algorithms play a crucial role in maintaining the security and efficiency of Blockchain systems and selecting the right algorithm can lead to significant performance improvements.This article aims to provide a comparative review of the most used Blockchain consensus algorithms, highlighting their strengths and weaknesses.Additionally, we propose a dissociated architecture for an efficient Blockchain system that doesn't compromise on security.A comparison is made between this architecture and the reviewed algorithms, considering aspects such as algorithm performance, energy consumption, mining, decentralization level, and vulnerability to security threats.The research findings demonstrate that the proposed architecture can support complex algorithms with high security while addressing issues related to efficiency, processing performance, and energy consumption.
Handling imbalanced data in supervised machine learning for lithological mapping using remote sensing and airborne geophysical data

Abstract With balanced training sample (TS) data, learning algorithms offer good results in lithology classification. Meanwhile, unprecedented lithological mapping in remote places is predicted to be difficult, resulting in limited and unbalanced samples. To address this issue, we can use a variety of techniques, including ensemble learning (such as random forest [RF]), over/undersampling, class weight tuning, and hybrid approaches. This work investigates and analyses many strategies for dealing with imbalanced data in lithological classification based on RF algorithms with limited drill log samples using remote sensing and airborne geophysical data. The research was carried out at Komopa, Paniai District, Papua Province, Indonesia. The class weight tuning, oversampling, and balance class weight procedures were used, with TSs ranging from 25 to 500. The oversampling approach outperformed the class weight tuning and balance class weight procedures in general, with the following metric values: 0.70–0.80 (testing accuracy), 0.43–0.56 ( F 1 score), and 0.32–0.59 (Kappa score). The visual comparison also revealed that the oversampling strategy gave the most reliable classifications: if the imbalance ratio is proportionate to the coverage area in each lithology class, the classifier capability is optimal.
Technology-Assisted Review for Spreadsheets and Noisy Text

In a large-scale eDiscovery effort, human assessors participated in a technology-assisted review ("TAR") process employing a modified version of Grossman and Cormack's Continuous Active Learning® ("CAL®") tool to review Excel spreadsheets and poor-quality OCR text (defined as 30-50% Markov error rate). In the legal industry, these documents are typically considered inappropriate for the application of TAR and, consequently, are usually the subject of exhaustive manual review. Our results assuage this concern by showing that a CAL TAR process, using feature engineering techniques adapted from spam filtering, can achieve satisfactory results on Excel spreadsheets and noisy OCR text. Our findings are cause for optimism in the legal industry--- adding these document classes to TAR datasets will make large reviews more manageable and less costly.
Character Relationship Mapping in Major Fictional Works Using Text Analysis Methods

Determining the relationships between characters is an important step in analyzing fictional works. Knowing character relationships can be useful when summarizing a work and may also help to determine authorship. In this paper, scores are generated for pairs of characters in fictional works, which can be used for classification tasks if characters have a relationship or not. An SVM is used to predict relationships between characters. Characters farther from the decision boundary often had stronger relationships than those closer to the boundary. The relative rank of the relationships may have additional literary and authorship related purposes.
Looking Beneath the Surface

The purpose of visual media is to convey information, ideas, concepts and emotions, and for this reason, the effectiveness of visual media can be assessed by how much it captures the attention and engages with its audience. Eye movement patterns have long been recognised as providing valuable insights into the cognitive processes that underlie attention, learning and memory, and as such they may shed light on how viewers engage with visual media. The process of measuring and analysing the movements of a person's eyes is called eye-gaze tracking, which is a powerful tool with a broad range of applications, not only in studying how people interact with visual content, but also in domains such as healthcare, driving, gaming, and many others. Thanks to advancements in technology, modern eye-gaze trackers have evolved into much less intrusive and more comfortable devices than their scary predecessors. This has also worked in their favour in making eye-gaze trackers, whether screen-based, head-mounted, or embedded within VR headsets, more accessible and easy to use. In view of the increasing popularity in using eye-gaze tracking to study attention and engagement, this tutorial aims to explore this technology from different angles, including its development over the years, its technical workings, the metrics that may be used to quantify visual attention, and several application domains.
Application of computers in artificial intelligence in the context of big data

Abstract To make the computer useful in the field of artificial intelligence in the context of big data. In this paper, based on the analysis and comparison of the big data algorithm model and artificial intelligence algorithm in computers, we propose an algorithm based on a decision tree and logistic regression model in big data to query literature papers in the field of artificial intelligence as an example and compare and analyze the accuracy, accuracy, completeness, and F1 value of the obtained data through two categories of experiments. The experimental results show that the decision tree and logistic regression algorithm model based on big data can make the data finding accuracy of 89%, accuracy of 92%, and completeness of 87%, and optimize the speed and quality of the computer algorithm in the process of processing big data. This shows that the computer in the context of big data can provide access to data through algorithmic models in the field of artificial intelligence, which can improve the accuracy and authenticity of data sources and provide data support for in-depth research in the field of artificial intelligence.
Education, human capital development and endogeneous growth in selected African countries

The study examined the effect of education and human capital development on endogenous growth drawing evidence from selected African Countries within the period of 1980-2020. Survey research design was used and secondary data was sourced from world bank statistical bulletin based on tertiary education enrolment rate (TEER) vocational education enrolment rate (VEER), labour force participation rate (LFPR) and endogenous growth (EG). Descriptive analysis using panel covariance, cross-sectional dependence (CD) test, panel unit root tests as well as panel co-integration test were adopted to test the secondary data extracted. It was observed that there is low positive but significant impact of tertiary education enrolment rate (TEER) and vocational education enrolment rate (VEER), on endogenous growth (EG) while the impact of labour force participation rate (LFPR) on endogenous growth (EG) was negative. The study recommends that government should increase not just the amount of expenditure on education and health sector but also the percentage of its total expenditure accorded these sectors. The ten percent benchmark proffered by the current national plan document as contained in National Economic Empowerment and Development Strategy (NEEDS) should be geared up and gravitate towards the UNESCO 26% international recommended standard. Keywords: Education, endogenous growth, human capital development, trade openness.
A Lightweight Insulator Detection Methodology for UAVs in Power Line Inspection

The defect of insulators on the power line may lead to the failure of the electric transmission system, which in turn endangers the safe and reliable operation of the whole power system. Therefore, timely and accurate detection of insulators has become a current research hotspot. However, manual inspection cannot guarantee real-time detection and is prone to security accidents. Thanks to the convenience of Unmanned Aerial Vehicles (UAVs), collecting insulator images by UAVs and designing detection algorithms on insulators for real-time and accurate insulator detection have become a practical option. In this paper, considering the poor computing resources of UAVs, a lightweight object detection algorithm, NanoDet, is trained to detect insulators. In addition, to fully utilize the computing resources, the proposed model is segmented. Power-efficient layers are mapped to the central processing units (CPUs) for execution. Experimental results indicate that the proposed model can cut down the power consumption by up to 46.4% without violating the time constraint.
PERBANDINGAN IMPLEMENTASI METODE SMOTE PADA ALGORITMA SUPPORT VECTOR MACHINE (SVM) DALAM ANALISIS SENTIMEN OPINI MASYARAKAT TENTANG MIXUE

In December 2022, the development of a franchise for an ice cream and tea outlet from China named Mixue became the talk of the Indonesian people, especially on social media Twitter, giving rise to various opinions from the public regarding the Mixue outlet which is growing so rapidly. So from that, sentiment analysis will be carried out by classifying using the implementation of the Support Vector Machine (SVM) algorithm. From the results of research that has been done, the SMOTE-based Support Vector Machine (SVM) algorithm results in an increase in the accuracy value to 73.67% and precision to 75.40%, and for the results of Support Vector Machine (SVM) without using SMOTE, the accuracy value is 69.40% and the precision value is 68.12%. But on the contrary there was a decrease in the recall value to 70.83% and the F1-Score value to 72.79%. So from the evaluation results it can be concluded that SMOTE has an effect on increasing the accuracy and precision values, but there is a decrease in the recall value and F1-Score.
Calibrated Passability Perception in Virtual Reality Transfers to Augmented Reality

As applications for virtual reality (VR) and augmented reality (AR) technology increase, it will be important to understand how users perceive their action capabilities in virtual environments. Feedback about actions may help to calibrate perception for action opportunities (affordances) so that action judgments in VR and AR mirror actors’ real abilities. Previous work indicates that walking through a virtual doorway while wielding an object can calibrate the perception of one’s passability through feedback from collisions. In the current study, we aimed to replicate this calibration through feedback using a different paradigm in VR while also testing whether this calibration transfers to AR. Participants held a pole at 45°and made passability judgments in AR (pretest phase). Then, they made passability judgments in VR and received feedback on those judgments by walking through a virtual doorway while holding the pole (calibration phase). Participants then returned to AR to make posttest passability judgments. Results indicate that feedback calibrated participants’ judgments in VR. Moreover, this calibration transferred to the AR environment. In other words, after experiencing feedback in VR, passability judgments in VR and in AR became closer to an actor’s actual ability, which could make training applications in these technologies more effective.
Robust OCR Pipeline for Automated Digitization of Mother and Child Protection Cards in India

The Universal Immunization Programme in India has a mandate to fully vaccinate all of India’s 27 million children born annually. The vaccination doses are recorded by frontline health workers on standardized paper-based Mother and Child Protection (MCP) cards, which are manually digitized by data entry operators, resulting in poor data quality, delays, and significant time and resources. In our article, we focus on Optical Character Recognition– (OCR) based automated digitization of MCP card images captured through a smartphone application developed by us. By utilizing a standardized template for the MCP cards, which is available a priori , we register the card images and perform OCR on the extracted region of interest (ROIs). Since the cards with curvature or torn edges had poor ROIs, we built a global–local alignment technique that first approximates the ROI using global homography and then refines using a local homography resulting in improved accuracy. Our pipeline gives a character level accuracy of 98.73% on our dataset against 75.02% by Google Cloud Vision and 79.26% by Azure OCR. We also describe our field testing experience, where the digitized MCP card images were used to provide useful features on the smartphone application for health workers to conduct vaccination sessions.
ADOPSI DEVSECOPS UNTUK MENDUKUNG METODE AGILE MENGGUNAKAN TRIVY SEBAGAI SECURITY SCANNER DOCKER IMAGE DAN DOCKERFILE

Compliance with personal data protection laws requires electronic system operators to pay more attention to security in applications. Security testing which is usually done at the end of the SDLC makes Agile principles incompatible with advantages that prioritize acceleration, adaptability and responsiveness to change. DevSecOps implementation using Trivy will insert a security scanner process for applications that are deployed in containerized form. The continuous process of security scanning integrated in CI/CD will increase the awareness of developers in terms of application security, so that developers will more quickly fix these problems and avoid security problems at the end of the SDLC.
STUDENTS’ BEHAVIORAL ENGAGEMENT IN LEARNING ENGLISH IN VOCATIONAL HIGH SCHOOL

The purpose of this study was to analyze student behavioral engagement about how students' behavior is related to academic assignments in tenth and twelfth grade of SMK N 1 Muara Bungo. So that students are interested in doing English assignments. in class X &amp; XII SMK N 1 Bungo. The design of this research is descriptive qualitative. The sample of this research is class X AKL &amp; XII MM2. The instruments used in this study were observation, using an observation checklist, field notes and videos. The results of this study are classified into three forms: persistence, focus, asking questions, contributing to class discussion. Based on the results of this study, researchers found that students had a consistent attitude of having behavioral engagement when doing assignments. Furthermore, in class students can be focused and contribute in class discussions, such as asking about instructions in doing assignments
Security Threat Eventuality: Strategies School Administrators Are Planning to Adopt in Delta State, Nigeria

This study investigated security threat eventuality: strategies school administrators are planning to adopt in Delta state, Nigeria. This inquiry was based on two research questions and two hypotheses, using the descriptive survey. The population consisted of 476 school administrators in Delta State, of whom 190 were selected through stratified sampling. A Security Threat Questionnaire (STQ) was used to gather information. Data obtained were coded and analysed using mean and standard deviation and a t-test to test formulated hypotheses at a .05 significance level. Findings revealed that security threats school administrators in Delta State are prone to include stealing among students, fighting, kidnapping of teachers and students, and destruction of school property by students, among others. Also, strategies school administrators are planning to adopt in the event of a security threat include contacting security operatives, encouraging students to report any security threat, and informing teachers and students to be more vigilant during school hours, among others. It was thus recommended amid others that school administrators should contact security operatives like the Nigerian Police Force, community police, or those who volunteered to keep the community and schools safe from any security threat.
PENGEMBANGAN RITATOON BERBASIS QR-CODE BERBANTUAN VIDEO UNTUK MENINGKATKAN HASIL BELAJAR IPS SISWA KELAS V SEKOLAH DASAR

Social studies learning can run effectively and efficiently with the support of creative and innovative media. Based on pre-research data at SDN 1 Pegulon, a problem was found in the form of the use of learning media that was not optimal, especially in the use of technology, most students passive and affecting low learning outcomes. The study population was 49 students consisting of 43 students of SDN 1 Pegulon and 6 students of SDN Pagerdawung. This study aims to develop, test the feasibility and test the effectiveness of video-assisted QR-Code-based Ritatoon media in the social studies content of grade V SDN 1 Pegulon. The type of research is research and development with the development model, namely Borg and Gall. Data collection techniques in the form of tests and non-tests. The results showed that the media developed was very feasible as evidenced by the assessment of media experts with a percentage of 100% and material experts of 85.71%. Effective media to improve student learning outcomes is shown from the results of the t-test with sig. (2-tailed) of 0.000&lt;0.05 and the N-gain average increase test of 0.557 with moderate criteria. The media received positive responses from teachers by 89.7% and students by 87%. The conclusion of this study is that video-assisted QR-Code-based ritatoon media is very feasible and effective to use in learning social studies in grade V.
POWER POINT: MENINGKATKAN KEMAMPUAN MEMBACA CERITA BERBAHASA INGGRIS DI SDN KARANGTENGAH 04

The objective of this research is to know the effectiveness of Power Point to improve student reading English for 5th grade of elementary school. This research was conducted with an experimental method. In conducting the study, the researcher involved the English teacher, the school principal, and the student grade 5th. This research was conducted at SDN Karangtengah 04 Blitar City. The subject of this research contain of 23 students, 14 male and 9 female. The data were obtained a pre-test, giving treatment, and post-test. After analyzing the data, it was found that the use of power point can improve students' English reading. In particular, they showed an increase in their ability to read English vocabulary. In addition, the test shows several other benefits, such as students find the meaning of stories faster, the learning atmosphere is more fun, and it increases students' interest in reading. Suggestions for teaching teachers are to use power point to teach students because it can improve students' reading skills.
PROFIL KEMAMPUAN NUMERASI SISWA SEKOLAH DASAR KELAS TINGGI DI MALUMBI KABUPATEN SUMBA TIMUR

This study aims to describe the numeracy ability profile of high school elementary school students in Malumbi, East Sumba Regency. This numeracy ability was carried out at a grade 5 school in the high class area as a reference point used to analyze comparisons before finally moving on to a larger stage of research scope. This type of research is qualitative with the instrument used in data collection is the Numeral Test, namely the test uses EGMA (Early Grade Mathematics Assessment) measurements, interviews and observations. The results of the research on the school's numeracy skills which were collected through the numeration test found that elementary school students were in the low category with an average score of 18.43. This is caused by several factors such as textbooks which so far have only been provided while at school, learning media that are less interesting so learning becomes boring, and students are not used to being given story questions, so that students' numeracy skills in solving number pattern problems, recognizing and comparing numbers and there are still many mistakes in word problems, as well as follow-up on teacher competence in teaching mathematics so that there are no misconceptions in learning.
Implementasi Game Pembelajaran Interaktif Wordwall

This study aims to determine the increase in learning outcomes of Natural Sciences (IPA) elementary school students in the matter of changes in the form of objects through the use of wordwall game media. The research uses a Classroom Action Research (CAR) approach. Data was taken through pretest and posttest provided in the form of interactive games through the wordwall website. The research was conducted on 5th grade students at SD Negeri Danurejo 1 with a total of 20 students. The results of the research from pre-cycle data, the percentage of students who have achieved a completeness score of 15%. In cycle I, the percentage of students who achieved a completeness score increased to 40%. Meanwhile, in cycle II, the percentage of students who achieved a completeness score increased again to 80%. Thus, there was an increase of 23.5% from cycle I to cycle II. So, it can be concluded from this study that the use of wordwall interactive learning games to improve student learning outcomes in high grades can improve Natural Sciences (IPA) learning outcomes in material changes in the shape of objects in high grades.