Reviewerly/exHarmony huggingface dataset:
Supporting Heat Pump Installation Through Handheld Augmented Reality

Heating is one of the major contributors to CO2 emissions. The most promising environmentally friendly heating system will probably be heat pumps. In Germany, for example, in the next 9 years, a five to tenfold increase in current installation speed of heat pumps should be achieved. In view of the shortage of craftsmen in the heating installation industry in Germany, there is an urgent need for tools and solutions that support them in the installation of heat pumps and increases their productivity. Planning the installation of heat pumps in boiler rooms presents a big challenge, as the installation space needs to be accurately checked and possible collisions with already installed equipment, such as water heaters and pipes, need to be accounted for. Overlooked collisions can present significant delays in installation times. This paper presents an Augmented Reality (AR) application to ease the installation process. A mobile device with a LiDAR (Light Detection and Ranging) sensor is used to map the boiler room including all the existing equipment present. This 3D map is used alongside a freely movable 3D model, selected from a library of heat pumps, to check for possible collisions and plan the installation. Measuring tools can also be invoked in the AR application for additional support. After the check is complete, the craftsman may order the appropriate heat pump and conduct the installation itself. To the best of the authors' knowledge this is the first system of its kind to be proposed.
PEDAGOGICAL SUPPORT OF THE STUDENT AT THE BASIC STAGES OF PREPARATION TO COMPETITIONS IN SYSTEM OF JUNIOR ACADEMY OF SCIENCES

The article provides the author’s solution to the problem of pedagogical support for students at the main stages of preparation for competitions in the system of the Junior Academy of Sciences of Ukraine. The All-Ukrainian competition for the defense of scientific research works of students — members of the National Academy of Sciences is aimed at identifying and developing gifted students, and involving them in research, scientific, project, design, invention and search activities. The article provides a methodical analysis of such main stages of preparing students for competitions in the MAN system as: choosing a direction of research, setting a problem, formulating a technical task, analyzing existing solutions with highlighting their shortcomings, searching for ideas and their further development, theoretical and experimental research of the proposed solution, approbation and implementation of the invention, design of scientific research work, creation of means of visualization of the results of scientific research, preparation of the student for public defense of the work. The methodical analysis of each of the stages is illustrated by examples from the student project “Portable current source for powering low-power devices”. The given methodical analysis will be especially useful for novice teachers who aim to create favorable conditions for the organization of students’ creative activities.
NEW CREATIVE TECHNOLOGIES AND METHODS OF MUSIC PEDAGOGY IN ISRAEL

Today, musical and pedagogical education holds an important place in the sphere of cultural achievements of the leading countries of the world. It is undeniable that the stage of development of any country is determined by its cultural level. Musical art plays an important role, as it is intended for an individual and has a huge effect on the formation of worldview values of young people. At the same time, it opens the possibility of a wide exchange between countries and peoples in the field of culture, because music is definitely a language of international communication. Despite the importance of scientific development in the field of music education and pedagogy, the issue of professional training of future music teachers in Ukraine and Israel remains underdeveloped. The study and analysis of new methods and trends in the field of music education determines the prospects for the further development of pedagogical thought. Comprehension of the new global pedagogical experience of different countries and comparative analysis of the theory and practice of educational activity spreads the worldview, enriches the experience, promotes the mastery of new methods and educational technologies, motivates and provides a new creative impetus of pedagogical development. The article is devoted to highlighting new methods of training future teachers of musical art in the process of professional training in a higher School of Art in Israel. The achievements in Israeli national system of music education are highlighted; the pedagogical problem of active perception organizing, and performance of musical works is creatively solved. The musical-pedagogical methods such as “mirror”, “plastic intonation”, and the method of body-oriented psychotherapy are considered. These methods are used in musical education for students of the Jerusalem Academy of Music and Dance, as well as in the education of children and youth in musical institutions of Israel.
STRUCTURAL-FUNCTIONAL MODEL OF TEACHING PHYSICAL AND TECHNICAL DISCIPLINES BASED ON STEM EDUCATION: THE ASPECT OF TRANSDISCIPLINARITY

The development of innovativeness affects the modernization of higher education, in particular, technical in the context of STEM education. It was noted that the modernization of higher education in Ukraine needs to take into account the general trends in the development of higher education systems in the context of globalization and European integration processes. The expediency of the structural-functional model of teaching physical and technical disciplines on the basis of STEM education in the conditions of transdisciplinarity is substantiated. It has been established that a change in the field of higher education, in particular technical, taking into account the development of STEM education, involves a review of the concept of training specialists in each specific field of activity, therefore, the modernization of the content of education requires updating the educational and methodological base (goals, content, methods, forms and means), through which modern innovative approaches will be implemented in the future. The experimental component of the study of physical phenomena has developed due to an increase in the number of different types of experiments (quantitative and qualitative) in physical experiments using STEM technologies (new physical kits, ICT, 3‑D modeling, etc.). Taking into account modern trends and the main directions of improvement of the educational process, a methodology for teaching physical and technical disciplines was created, which is aimed at effectively familiarizing students with the basics of physics, which is necessary for further study of the disciplines of a professional direction and should be aimed not only at high-quality, scientifically and methodologically justified teaching of the content of its basics, which is provided by the educational activity of the teacher but also mainly at the activation of independent educational and research activities of students. Such a method should develop and stimulate interest in knowledge and understanding of Physics, their application in explaining the phenomena and processes of the microcosm and the surrounding world as a whole, and give students an effective system of knowledge, skills and abilities, and form a scientific outlook. The results of the conducted comparative experiment to identify the effectiveness of the proposed method of teaching physical and technical disciplines in the context of STEM education showed that the level of formation of physical knowledge, abilities and skills of students of higher education in the control groups is lower than the corresponding level in the experimental groups. The critical value determined according to the table for the level of significance accepted in pedagogical research is ; , that is , and on the basis of the Kolmogorov-Smirnov criterion leads to the conclusion , that is (0.035 &gt; 0.0003), that is, the developed method of teaching physical and technical disciplines in the conditions of the development of STEM education is more effective than the existing one.
TEACHING AND ASSESSMENT OF LISTENING-INTO-WRITING IN HIGHER EDUCATION INSTITUTIONS: COGNITIVE PROCESSES

Background. With the internationalization of educational settings as well as the labour market, there is an increasing need for tertiary school students to acquire academic English writing skills. English is the dominant language spoken by many learners and professionals worldwide, but, gaining proficiency in academic writing can be challenging due to the range of specific cognitive processes involved in this type of writing. In the context of Ukrainian education, creative writing is prevalent in secondary education institutions, which may result in poor performance in universities because of a lack of knowledge and skills among students regarding how to highlight the main information and what to write. As a result, there is a need for introducing effective techniques of teaching and assessing integrated listening-into-writing in a higher institution classroom. Objective. The goal of the article is to provide a concise and organized overview of the cognitive aspects related to integrated listening and writing skills in a university setting. This will be achieved by analyzing the processes involved in both integrated listening-into-writing as well as non-integrated listening and writing. Results and discussion. The study involved a comprehensive analysis of relevant literature addressing core distinctions between integrated and independent writing in terms of cognitive processes and characteristics. Building on existing research on integrated listening-into-writing, as well as independent listening and writing, the paper presents a synthesis of current models encompassing the cognitive processes underlying integrated tasks. It examined cognitive strategies and executive control, as well as the challenges of implementing integrated writing in the modern system of higher education, highlighting the ways of overcoming the difficulties. Additionally, the article explains the roles assumed by both teachers and students in overcoming difficulties associated with integrated listening-into-writing. Further steps are to be taken to create a manual for teachers and assessors of integrated listening-into-writing.
STUDENTS’ ACHIEVEMENT IN READING COMPREHENSION DURING ONLINE CLASS

This research was conducted to describe students’ achievements at the third semester of English Department students of UMMY Solok at 2021/2022 academic year in reading comprehension during online classes. The researcher found several problems in the process of learning reading comprehension through online classes, namely, some students still found it difficult and were confused to determine language features, generic structures, main ideas, and lack of concentration because sometimes the internet connection has problems. The research method used in this research was ex post facto. The population of this research was all third semester of English Department students of UMMY Solok. The sample of this research was 16 students. Samples were taken using the saturation sample technique. Then the instruments used in collecting data were students’ scores and interviews with students. The results showed that more than half of the students got final exam scores above 70. It means that almost all students got good achievements in reading comprehension during online classes, and two factors affect their achievement, namely internal and external factors. So, online classes were not as bad as students think. Even though the teaching-learning process system has changed to online classes, students can still get good achievements. It was recommended that further researchers discuss other skills to conduct similar research so that students can develop their knowledge well.
Exploration of the Impact of Harsh Language in Kurdish Society on Social Media – Facebook: A Sociolinguistic Case Study

The study explores the multifaceted realm of language within the Kurdish society. Employing a sociolinguistic perspective, the study meticulously examines horizontal elements such as environmental influences, social groups, values, and attitudes, alongside vertical elements including language variations across societal classes, literacy levels, demographics, and age groups. Recognizing language as a fundamental tool for comprehension and communication, the research emphasizes its pivotal role in human life and societal progress. The paper aims to investigate that language usage significantly influences relationships, either strengthening or straining them, necessitating careful consideration by language users. The study focuses on diverse facets, encompassing language applications, the role of slang, and the repercussions of its use in social media. Explicit language, particularly prevalent in online platforms, is scrutinized for its motivations and subsequent adverse effects on individuals and society. With a specific focus on slang, the paper seeks to validate this linguistic form and elucidate its informal impact on both senders and recipients, contributing to a comprehensive understanding of language dynamics in Kurdish society.
An Exploration of the Key Differences between Written and Spoken Language through the Linguistic Evaluation

In the evolving landscape of language communication, this research embarks on a systematic exploration of the fundamental disparities between written and spoken language, employing a linguistically driven analysis to illuminate the complex dynamics shaping these two distinct modes of human expression. The present study aims to examine the differences between written and spoken English language through the exploration of various linguistic aspects. This study follows a descriptive approach using a quantitative method to collect data. The questionnaire, as a data collection tool, presents the analysis of the proficiency of university students in English spoken and written language. The participants were from the universities in the city of Sulaymaniyah. The findings related to speaking competence of the study show a significant portion of students (39.7%) express concerns related to teacher evaluation, highlighting a notable divergence in confidence levels. Over 60% of students feel confident expressing themselves, showcasing eagerness to seize opportunities to speak English. Transitioning to English writing competence, half of the students express no fear about their writing being selected for class discussion, and 63.3% regularly engage in composing English compositions. The implications of these findings for language teaching and learning are discussed, and further research in this area is recommended.
Predicting Work Environment and Job Environment Among Employees using Transfer Learning Approach

Today’s enterprises face numerous challenges as a result of the world’s rapid evolution. Maintaining a content workforce is crucial to a company’s success and survival in today’s fast-paced business environment. The efficacy, productivity, efficiency, and dedication of the company’s staff are directly associated with the company’s capacity to meet the needs of its employees in the workplace. The focus of this system is to identify the factors that contribute to a satisfying work environment for the participants. Preprocessing, feature selection, and model training are the first three steps in the suggested methodology. Data mining systems should get in the habit of normalizing data as a preliminary processing step. The multiple elements assessing company culture and worker satisfaction were consolidated using Principal Components Analysis (PCA) in the feature selection phase. Once features have been selected, KNN-SVM is utilized for model training. When compared to the two most popular alternatives, SVM and KNN, the proposed technique performs better.
Augmented Reality based WayFinder System in Libraries

Advancement in technology can be utilized to ease workloads in many scenarios. In libraries, the search for a particular book may take a lot of time, and memorizing the position of each book is not an easy task and may result in reducing a person’s interest in visiting the library. Usage of Augmented Reality, helps in visualizing the plots of the library. After combining with GPS, the system will be able to suggest the path to desired book in minimum required time. In libraries, there can be multiple paths to reach a particular book. The proposed system compares the multiple paths to find the best way with minimum distance to reach the desired book. The developed Augmented Reality wayfinding system revolutionizes the library experience by overlaying directional information or real environments through a smartphone camera. Scanning a provided QR code in the library helps the users to access the interface of the system and search for the required book. Innovation of such a system not only simplifies the search for books but also enables customers to check book availability and stock levels via a database. It also suggests alternatives, if the specific book is unavailable. By engaging such on-screen bots overall user experience can be enhanced and workload can be minimalized.
Blockchain Technology: A Technique to Overcome the Security and Privacy Issues in Cloud Computing

Blockchain is considered to be a great solution for enhancing different aspects of today’s workforce and for addressing a number of security concerns in the rapidly expanding Cloud Computing (CC) field. The need for CC is growing daily, and at the same time, security concerns within the CC are also expanding concurrently. Many security issues in CC have been effectively resolved by implementing Blockchain technology. This research study outlines the different security concerns and how Blockchain technology can address them.
An Advanced Strategy for Efficient Agricultural Production using Machine Learning

Agriculture is very important to the prosperity of the country. Climate change has created a variety of problems for the agricultural academic system. Since machine learning (ML) provides effective and affordable solutions, it is the most effective method for solving problems. Crop yield prediction involves estimating the crop yield based on historical data and a variety of other factors, including the climate, sometimes the environment, the water source, and warmth. This study analyses and discusses the use of the linear regression technique for evaluating agricultural production based on data from the earlier study. This study uses geographic and meteorological data to anticipate winter wheat production. It is motivated by this data science issue. The project’s goal is to find a solution to the cost loss issue. Actual agricultural data is used to build the models, which are then evaluated on samples. Using the vegetable yield forecasting model, end users (agriculturalist) may foresee crop production as they plant crops on agricultural land. The Linear Regression Algorithm method is used to forecast results with accuracy. The decision-making model’s creation will be aided by the availability of a sizable dataset.
Enhancing Military Surveillance: Advanced Aircraft Image Identification using Hybrid Deep Neural Networks

Machine learning is a powerful tool that may significantly improve the judgment of businesses and individuals alike. The use of machine learning methods in data analytics is now commonplace, especially with the development of data science. Identifying enemy fighter planes is crucial for military applications, as it plays a role in operational planning. The challenge is in correctly determining the orientation of the unknown airplane. The 30 different types of aircraft in this database were retrieved from the Kaggle repository. An 80:20 or 70:30 split of the image database was used to create a training set and test set, respectively. The normalized feature sets allowed the LSTM, CNN, BiLSTM, ANN, Autoencoder, and Hybrid Model deep learning models to be developed and trained to their full potential. The test aircraft image was fed into the hybrid deep neural networks so that they could be categorized. The developed automatic aircraft image identification system achieved a classification accuracy of 98.85%.
Hybrid CNN-RNN Model for Accurate Image Captioning with Age and Gender Detection

Age and gender detection is a computer vision process that aims to identify the age and gender of individuals based on their physical characteristics, primarily facial features. This research paper presents a novel approach to age and gender detection using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). Our proposed method combines CNN and RNN models to accurately detect age and gender from input images. To address the limitations of existing datasets and the scarcity of data, we have developed a unique dataset that includes diverse facial images annotated with age and gender information. Our approach leverages CNN to extract region-based visual features from input images, while the RNN-based model decodes output captions word by word. Attention mechanisms are incorporated to highlight relevant regions in the input image during the detection process. Our results demonstrate high accuracy rates for both age and gender detection, showcasing the potential of the proposed method in various domains such as security, healthcare, and entertainment. This study offers a promising solution to the age and gender detection challenge, underscoring the effectiveness of CNN and RNN models in image analysis.
Smart Night Patrolling Robot using YOLOv8

The traditional patrolling involves the security guards or police or to monitor CCTV packages at the commercial area. Robotics systems can provide an efficient and cost-effective solution to security issues, and can enhance traditional security measures. The smart night patrolling robot is a prototype designed to enhance security measures in gated communities, industrial premises, and apartment complexes during the night. It incorporates multiple sensors such as a sound sensor, GPS, ultrasonic sensor, and IR sensor, powered by a rechargeable battery to detect the sound or object in the surrounding along with the location. The proposed system implemented YOLOv8 model for object detection from the detected data. If the object is deemed suspicious or if any human activity is detected, the robot sends an emergency message to a specified chat ID using the Telegram API. The model achieves better accuracy of 92% for detecting objects in night vision compared to other versions of YOLO Model. It is designed to operate autonomously, freeing up security personnel to focus on other tasks. The robot’s ability to detect and investigate suspicious activity makes it a valuable addition to any security system.