Reviewerly/exHarmony huggingface dataset:
A point cloud semantic segmentation method for nuclear power reactors based on RandLA-Net Model

The detection of foreign objects in nuclear power plant reactor is a key task in the operation and maintenance of nuclear power plants. Loose and falling foreign objects such as bolts can lead to fuel component damage and unplanned shutdown, posing serious hazards. Therefore, we propose a point cloud semantic segmentation method for foreign objects in nuclear power plant reactor based on the RandLA-Net model. Considering the correlation between point cloud collection error and curvature, the data augmentation method is improved to reduce the risk of model overfitting. By treating the boundary points of different classes as the hard examples, the hard example mining is designed to improve model generalization performance. Adding an improved test time augmentation method during model inference, the more reliable segmentation results are performed by multiple prediction on points. The experimental results indicate that the proposed method can achieve high-accuracy reactor point cloud semantic segmentation with mIoU of 0.992 and mAcc of 0.997.
Specifics of editing in preparing for the publication of educational and fiction literature printed in Braille for pupils with visual impairments

International scientific conference «Research activities and achievements in pedagogy and psychology» : conference proceedings (April 5–6, 2023. Częstochowa, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 188 pages.
Creativity as a necessary component of the pedagogical skill of future primary school teachers

International scientific conference «Research activities and achievements in pedagogy and psychology» : conference proceedings (April 5–6, 2023. Częstochowa, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 188 pages.
ЗАГАЛЬНІ НАПРЯМКИ РОЗВИТКУ СИСТЕМ ТЕЛЕМЕТРІЇ, ГІДРОАКУСТИЧНОГО КОДОВОГО ЗВ’ЯЗКУ ТА ЕЛЕМЕНТІВ ПІДВОДНОЇ РОБОТОТЕХНІКИ

The work is dedicated to the review of the latest publicationson the development of underwater robotics, existing modern underwater vehicles, organization ofinformation channels for subscribers of different classes, and modern approachesto the formation of acoustic fieldsin the waveguidesbeingdisturbedbypulsesignals.The section also describes the main performance characteristics of the UNDERWATER VEHICLE and the ascertained organization principles of information exchange processesas for operating and checking information as well ascontrol, communication and telemetry information. In addition, the section rendersa general characteristics of the information hydroacoustic channel.
Fast estimation of the look-elsewhere effect using Gaussian random fields

We discuss the use of Gaussian random fields to estimate the look-elsewhere effect correction. We show that Gaussian random fields can be used to model the null-hypothesis significance maps from a large set of statistical problems commonly encountered in physics, such as template matching and likelihood ratio tests. Some specific examples are searches for dark matter using pixel arrays, searches for astronomical transients, and searches for fast-radio bursts. Gaussian random fields can be sampled efficiently in the frequency domain, and the excursion probability can be fitted with these samples to extend any estimation of the look-elsewhere effect to lower $p$-values. We demonstrate this using two example template matching problems. Finally, we apply this to estimate the trial factor of a $4^3$ accelerometer array for the detection of dark matter tracks in the Windchime project. When a global significance of $3\sigma$ is required, the estimated trial factor for such an accelerometer array is $10^{14}$ for a one-second search, and $10^{22}$ for a one-year search.
The Impact of Applying Different Pre-Processing Techniques on Swahili Textual Data Using Doc2Vec

Data pre-processing is an important step in machine learning text classification as it improves data quality and hence improves performance of trained algorithms.We experimentally compare the following pre-processing techniques: punctuation removal, lowercasing, typos replacement, slang replacement and stop-word removal on a Swahili short message service (SMS) dataset for topic classification.Different machine learning algorithms are applied such as Random Forest, Stochastic Gradient Descent, RNN LSTM Unidirectional, RNN LSTM Bidirectional and Support Vector Machine.We analyze the impact of the pre-processing techniques on classification accuracy and f1-score.Our experiments show that all pre-processing steps, when applied separately, have a positive impact on the performance of all evaluated classification algorithms.Among all experimented pre-processing steps, stop-word removal has the highest impact on performance of both accuracy and f1-score metrics.Also, of all evaluated algorithms, Random Forest and Stochastic Gradient Descent are the most positively affected with pre-processing steps.
Using Canva Application for Elementary School Learning Media

The purpose of this study is to develop learning media using the Canva application in elementary schools, for beginners and elementary school teachers who are used to create multimedia-based learning media as teaching materials that are used at this time, the declining quality of learning at this time especially in Elementary school level (SD), on this occasion we describe the use and utilization of the Canva application, the aim is to increase the interest and sympathy of teachers and students in learning and also to facilitate the process of understanding students' learning in schools so that it can be said that the quality of education in schools is perfect. On this basis, this Canva application has several interesting features to serve, including ready-to-use templates, icons and illustrations, text, background tips and tricks in using applications, animations, and duplication, over time and the use of technology. dependent on self i ourselves in taking advantage of it.
Utilization of Animiz Animation Application in Arabic Class 2 Madrasah Tsanawiyah Lessons at Diniyyah Pasia Modern Islamic Boarding School

This study uses a qualitative method. With this method, the researcher conducted interviews with some members of the second class of private madrasah tsanawiyyah at the modern Islamic boarding school Diniyyah Pasia, Agam. This Animiz Animation application is one of the animation media-based applications that really helps students to understand the presentation of material explained using moving images which increases the interest and interest of everyone to listen carefully to the explanations in the video and understand and understand the explanations provided. There by looking at the animation created. The benefit of this application is that it makes it easier for educators to convey the subject matter they want to convey and also for students, with this application educators do not need to carry out teaching and learning activities with the conventional system, namely face to face especially during the covid-19 pandemic. With this application, information and communication technology is also developing because if you use this application often, knowledge about this application will be spread and can be increased to a higher and sophisticated level. By conducting this research, it is also hoped that learning media that were previously unknown will become known because of the practicality of understanding using animation media because it has described the purposes of the explanations presented in the video presentations made. Educational technology using advances in information and confirmation will increase if knowledge about it is growing. Then the educational media becomes more sophisticated and practical and makes the education system in Indonesia more developed and advanced.
Using of Visual Application in Arabic Language Learning Class X MAN 1 Kuantan Singingi

This article is a utilization research that really needs literacy and reading materials in describing a discussion, which is through knowledge of the background of an incident, and relies on research methods. This article is about using the Canva application as a medium for learning Arabic, which was conducted at MAN 1 Kuantan Singingi. Learning media is something that is very much needed by educators in supporting education, the media offers many conveniences for its users, both educators and students. Plus during this pandemic, educators are required to be able or master about media in education. Especially in this sophisticated era, not only educators, even everyone is required to understand and be able to use technology appropriately and correctly, this Canva application is no exception. Canva is an application that can be accessed via mobile phones, with various and interesting features, with the Canva application both educators and students can use the Canva application and develop their own creativity.
Classification of Student Understanding on Covid-19 Booster Vaccine Using Machine Learning

The outbreak of COVID-19 has been declared a global pandemic by the World Health Organization (WHO). Developing a vaccine is one of the best ways to reduce the virus's impact. Nevertheless, the development of virus mutations produces new variants that diminish the efficacy of the previous vaccine. Booster doses of the Covid-19 vaccine is still a matter of debate among the public, particularly among students, as evidenced by the low rate of booster vaccinations in the community, which is a result of a lack of knowledge about booster vaccines. The purpose of this study is to assess the level of understanding among Universitas Muhammadiyah Yogyakarta (UMY) students regarding booster vaccinations, with the results subsequently serving as a factor or strategy for future government booster vaccination policy decisions. ANN and SVM algorithms could be used to predict the level of understanding of booster vaccinations among UMY students. However, the maximum level of precision in classifying the level of comprehension is not yet known. To determine which of the two methods, kernel and k-fold, provided the maximum level of accuracy, a comparative study was conducted between them. The research was conducted by disseminating questionnaires containing assessments of booster vaccinations to a total of 2095 respondents. Using randomized sampling type, this study yielded an accuracy of 88.45% for the ANN method and 89.93% for the SVM method in each scenario. In addition, the authors conduct feature efficiency, which aims to reduce the time and cost associated with data computation.
The Development of Game App 'Find the Object' to Improve English Vocabulary Mastery

English is a communication international language with more than 50 countries using it as their primary language. Therefore, understanding and ability to communicate in English is needed. During this time, the method of learning English is mostly delivered using the Teacher Centered Learning (TCL) method and there are still a few English vocabulary learning media in the form of applications used in the learning process in the classroom. The purpose of this study was to create a game called Find the Object to help students, especially the elementary school level, to learn English vocabulary to make it more interesting. There is a pre-test and post-test to conclude whether this game significantly managed to improve the mastery of English vocabulary. This needs to be proven through observing the value of the pre-test and post-test
Designing a Fun English Vocabulary Card Application as a Means of Learning English Vocabulary for Elementary School Students

English has been globally used for communication and studied by almost all countries. Therefore, understanding and being able to communicate in English is crucial. A lot of English learning is currently delivered using the lecture method, but there is no medium for learning English vocabulary in an application. This study aims to create a Fun English Vocabulary Card game to improve children’s English vocabulary. To design the learning model, the design of use case and activity diagrams was utilized. Based on the pre-test and post-test results, this game significantly increased children’s English vocabulary. The average pre-test score was 43.625, and the average post-test score was 95, which indicates that the educational game application could improve users’ knowledge and understanding of English vocabulary.
Community policing and security management in Nigeria: A study of Abuja arterial routes and satellite settlements-Lugbe and Chika

The pattern of policing in Nigeria is still at the abysmal stage as many still see the police as enemies while the police are still overtly caught on tape, daily abusing and infringing the rights of citizens and extorting them whether on traffic, in motor parks or at police stations. This study leveraged on structural functionalism theory to interrogate the nexus between community policing and security management in Nigeria. The study focused on the Abuja arterial routes and satellite settlements of Lugbe and Chika. Study employed survey research design through a structured five point Likert scale questionnaire to elicit responses from 400 respondents as guided by Taro Yamane sampling technique. The study analysis tool was the ordinary least squares simple linear regression technique. Finding from the study revealed that community policing has significant impact on security management in Nigeria. The Study concluded that Intelligence gathering and surveillance must be constantly undertaken, which is important in order to ensure that law enforcement agents are proactive and can reasonably predict potential insecurity threats with near perfect accuracy rather than being reactive. The study recommends that government must devote attention to security intelligence, capacity-building to meet the global best practice and acquisition of modern technology. This will be attainable when the culture of good governance that makes responsiveness and accountability to the community a norm, particularly by law enforcement agencies.
Image Captioning Using Deep Learning

Abstract: This paper focuses on developing an image captioning system using deep learning techniques. The paper aims to generate descriptive textual captions for images, enabling machines to understand and communicate the content of visual data. The methodology involves leveraging convolutional neural networks (CNNs) for image feature extraction and recurrent neural networks (RNNs) for sequential language generation. The paper includes steps such as dataset collection, data preprocessing, CNN feature extraction, RNN-based captioning model implementation, model evaluation using metrics like BLEU score and METEOR, and presenting the results obtained. The expected deliverables include a functional image captioning system, comprehensive documentation, and a well-documented codebase. Through this paper, students gain practical experience in deep learning, computer vision, and natural language processing, contributing to advancements in image understanding and humanmachine interaction with visual data
FRSL: A Domain Specific Language to Specify Functional Requirements

In software development, to obtain a precise specification of the software system's functional requirements is significant to ensure the software quality as well as to automate the development. Use cases are an effective way to capture functional requirements, however, the use of ambiguous or vague language in the use case can lead to imprecision. It is essential to ensure that use case specifications are clear, concise, and complete to avoid imprecision in requirements. This paper aims to develop a domain specific language called FRSL to precisely specify use cases and to provide a basis for transformations to generate software artifacts from the use case specification. We define a FRSL metamodel to capture the technical domain of use cases for FRSL's abstract syntax, and then provides a textual concrete syntax for this language. We also define a formal operational semantics for FRSL by characterizing the execution of a FRSL specification as sequences of system snapshot transitions. This formal semantics on the one hand allows us to precisely explain the meaning of use cases and their relationships, on the other hand provides a basis for transformations from the use case specification. We implement a tool support for this language and perform an evaluation of its expressiveness in comparison with current use case specification languages. This work brings out (1)~a DSL to specify use cases that is defined based on a formal semantics of use cases; and (2)~a tool support realized as an Eclipse plugin for this DSL. The use case specification language FRSL would help precisely specify the system's functional requirements and bring more automation in the software development.
RANCANG BANGUN APLIKASI CETAK KARTU TANDA KARYAWAN PADA PT. KINTAP JAYA WATTINDO PERKEBUNAN TEBING SIRING BERBASIS WEB

The development of information technology today allows the need for information to be fulfilled, such as the development of applications. However, currently it can solve problems for printing employee identification cards as well as managing data and presenting information including information on employee data, employee spouse data, employee child data, educational history data, work experience data, course data, emergency contact data, card design data. employee identification, job transfer data, section data and position data at PT. Kintap Jaya Wattindo Perkebunan Tebing Siring without having to use a manual system such as Microsoft Excel because it will be ineffective, inefficient and take a long time in the data collection and printing process. The above problems can be solved by utilizing the development of information technology, namely by building a web-based employee identification card printing application. This application has 100% validity where user trials are carried out with the results that all work properly as expected and are very helpful in the process of making and printing employee identification cards. With this employee card printing application, the 100% card printing process becomes faster and more efficient by presenting information about 100% of the employees more effectively and attractively.
Evaluation of Arts-Based Performance Tasks in Hybrid Classes

Performance tasks are the major requirements that senior high school students demonstrate, especially from the core art subject, Contemporary Philippine Arts from the Regions (CPAR) in De La Salle Santiago Zobel School (DLSZ). CPAR provides annual strand-based art-integrated exhibitions and performances in various strands in DLSZ. Amidst the ongoing pandemic and the new hybrid concurrent class setup in the setting, three (3) varied art-integrated performance tasks were mounted. The aim of this small-scale ethnographic action research study is to analyze the development of the art-integrated performance tasks through document analysis in the Arts &amp; Design Track, HUMSS, and ABM strands; identify its educational objectives by conducting a structured interview of the teachers involved (u=9); explore the perceptions of the integration from selected students (n=7); and evaluate the success ratings based on the educational objectives of the integration by conducting a survey from the students (n=149) using 5-point Likert scale. Results revealed that the art integration of the subjects is generally perceived as connected and the art-integrated performance tasks from each strand are deemed beneficial, challenging, excellent, and very successful. Further studies are needed to discuss the issues in a larger context and on the socioemotional impact of the students and teachers involved.
SOR Model and Application of Virtual Reality Technology in 3D Animation Design

Abstract This paper introduces 3D modeling and application based on virtual technology. This paper’s modeling and drawing of SOR can obtain the differential equation of linear segments composed of pixel points. The resulting output data constitute an image unit. Then this paper uses the visual difference theory and effect to realize the production of virtual reality 3D animation technology. Finally, this paper carries on the simulation test to the three-dimensional model. The results show that 3D modeling using virtual technology can significantly improve accurate coordinates. This makes the 3D animation production and post-correction work more precise and fast.
Pengaruh Penataan Arsip Terhadap Efektifitas Kerja Pegawai Pada Kantor PT. PLN (Persero) UP3 Ambon

This study aims to find out how the influence of archive management on the work effectiveness of employees of PT. PLN (Persero) UP3 Ambon. The problems faced by PT. PLN (Persero) UP3 Ambon, namely: Not optimal arrangement of archives at the office, where archives are only placed in several containers such as: on cardboard, plastic, or just stacked. As a result, it causes disruption to the archive retrieval process because it is not stored in one good place, thus disrupting the service process for its users and requiring a long time (more than 30 minutes) to search for the required data, whereas in theory The Liang Gie (2007) ) archive discovery standard 1 minute. Simple linear regression analysis according to Riduwan (2010) regression or forecasting is a process of systematically estimating what is most likely to happen in the future. based on past and present information that is owned so that errors can be minimized. used to test the effect of the independent variable (independent) namely the arrangement of files (X) on the dependent variable (the dependent) namely work effectiveness (Y). Arranging archives or managing archives needs to be done properly and maximally, in order to make it easier for employees to carry out their duties so as to increase employee effectiveness. Archival facilities owned by PT. PLN (Persero) UP3 Ambon is not sufficient, only (two) 2 wooden cupboards and several odner folders are available for storing archives. There is no special room for archive storage, so archives are stored in the meeting room or in the employee's office. The lack of facilities as a tool to support the equipment used is also a major factor in the smooth running of the filing process. So far, archive handling has been handled by employees who also hold the position of secretary, causing archive management to be ineffective, because the work being done is not focused on one area. just. Based on the results of partial hypothesis testing, it shows that the Archive Management variable (X) has a positive and significant effect on employee work effectiveness (Y) at PT. PLN (Persero) UP3 Ambon. This is evidenced by the coefficient value of the archive management variable of 4.422 which is greater than t table of 2.048407 and the significant value of the employee work effectiveness variable of 0.00 which is less than 0.05, this means that Ha is accepted. In conclusion, the arrangement of archives affects the work effectiveness of employees at the PT. PLN (Persero) UP3 Ambon..