Reviewerly/exHarmony huggingface dataset:
Enabling Secured Data Transfer with Encryption Based On Binary Conversion

Modern technology supports network environment success by incorporating numerous networking infrastructure platforms and third-party apps. Data outsourcing, whereby data owners store their own data in a public hub, is a promising advantage. Although obtaining similar data from the storage service is likewise thought to be a difficult task by large service providers, security of that data is a major worry.In this essay, A brand-new procedure termed binary data conversion is suggested to enhance data outsourcing security and boost the effectiveness of retrieving related multimedia documents. To increase search performance in storage services, an encrypted index for video data is developed using the most modern AES algorithm. To enable quick and precise search queries.
KEMAMPUAN MENULIS TEKS PERSUASIF BERDASARKAN MEDIA IKLAN AUDIOVISUAL PADA SISWA KELAS VIII SMP NEGERI 1 ULUERE KABUPATEN BANTAENG

Ability to Write Persuasive Texts Based on Audiovisual Advertising Media in Class VIII Students of SMP Negeri 1 UluereBantaeng Regency. This study aims at the ability to write persuasive texts based on audiovisual advertising media in terms of structure, application and characteristics of language use. This research belongs to the type of quantitative description research. The research instrument used was a written test. The results showed that: (1) the ability to write persuasive texts in terms of structure, namely students who scored 78-100 found 12 students with proportions (36.36%) while students who scored 0-74 revealed 21 students with proportions (63 ,64%) is included in the category of quite capable. (2) writing persuasive texts if it can be viewed in terms of linguistic rules, namely students who get a score of 78-100 get 18 students with a proportion (54.54%) while students who score 0-74 get 15 students with a proportion (45.46% ) is included in the capable category. (3) the ability to write persuasive texts when viewed in terms of the characteristics of language use, namely students who scored 78-100 had 15 students with a proportion (45.45%) while students who scored 0-74 obtained 18 students with a proportion (54.55 %) ) is included in the category of quite capable. This shows that the ability to write persuasive texts based on audiovisual advertising media in class VIII SMP Negeri 1 Uluere Bantaeng Regency is included in the quite capable category.
RELIGIUSITAS TOKOH UTAMA DALAM NOVEL HAJI BACKPACKER KARYA AGUK IRAWAN MN

The Religiosity of the Main Character in the Novel Haji Backpacker by Aguk Irawan Mn. This study aims to describe the level, type, and aspect of the main character's religiosity contained in the novel Haji Backpacker by Aguk Irawan MN. This study uses a qualitative method with a qualitative descriptive design. The results of this study indicate that; (1) the level of religiosity of the main character contained in the novel Haji Backpacker by Aguk Irawan MN in terms of the level of religiosity of sharia, tariqat, essence, and makrifat directed at a complex level of religiosity. (2) The type of religiosity of the characters contained in the novel Haji Backpacker by Agu Irawan MN is the type of religiosity with direct message delivery. (3) The religiosity aspect of the main character contained in the novel Haji Backpacker by Agu Irawan MN refers to three things, namely aqidah or determinants of direction, sharia, and ihsan or morals.
IMPLEMENTASI PEMBELAJARAN DARING PADA MATA PELAJARAN BAHASA INDONESIA DI SMAN 13 MAKASSAR

Implementation of the Online Learning Model in Indonesian Language Subjects at SMAN 13. This study aims to describe and describe the implementation of online learning in Indonesian language subjects at SMAN 13 Makassar. This research is a descriptive qualitative type with data in the form of online learning implementations sourced from the online learning process in three classes and three teachers using observation, interview, and documentation data collection techniques which are then analyzed starting from data transcripts, data reduction, analyzing and presenting data, and draw a conclusion. This study obtained the results that: SMAN 13 Makassar actually implements online learning. The implementation of learning is assisted by the WhatsApp application as the main application assisted by Google Classroom, and Zoom Meeting In the concept implementation process, the Teacher Center is applied and students become passive figures in the learning process. The evaluation process runs almost the same as the offline process. The difference is that the shape of the object being evaluated is converted into a photo, video, or softfile.
BASIC PRINCIPLES OF USING VIRTUAL AND AUGMENTED REALITY TECHNOLOGIES IN THE PROCESS OF TEACHER TRAINING IN UKRAINE

In our opinion, in all aspects, education should correspond to the modern realities of the world, for life and communication with which we prepare a person. We propose to pay attention to the preparation of the individual, because without the readiness of the teacher to fulfil his or her responsibilities for socialization and development of skills necessary for self-realization, we lose not only a favourable period. We lose time and opportunities for a person's success in life.For example, teachers' lack of skills or knowledge of currently popular audio-visual content programs, building effective communication in social networks, and their quality use in the educational process create a «generation gap». After all, «gaps» in the knowledge, skills, and capabilities of a teacher or professor are immediately «striking» to children and young people, causing them to reject the teacher's personality and, as a result, the information they broadcast.In addition, a modern young person, fascinated by the possibilities of gadgets and gamification in education, constantly needs new impressions, sensations that will allow them to engage in the educational process, and will interest young people who are oversaturated with various types of information. That is why, in this review, we outlined the main points of our use of currently available virtual and augmented reality technologies, in particular the AltspaceVR program, in the practice of training primary school teachers. We also presented our experience and various aspects of using these technologies in the Ukrainian educational space.
BASIC KNOWLEDGE OF SOFTWARE AND WEB CONTENT AS ELEMENTS OF SOCIAL PROGRAMMING IN EDUCATION

For any specialist, basic knowledge of his or her specialty is like a "daily routine" that should create comfortable conditions for the realization of basic professional tasks. At the same time, the changes brought about by the transition to a remote format of communication, professional activity and the need to use the mechanisms of the information society affect the basic process of socialization, formation and development of personality. This process is part of the educational process - the "knowledge acquisition routine" or social programming that meets the needs of the state, society, national culture, etc. And it cannot have primary and/or secondary aspects.That is why the task of our research on this topic is to try to figure out what basic knowledge of software and web content, including programming skills, can be the necessary minimum in teacher training for everyday activities in the digital world (including the needs of society and the interests of children/youth). What should be a prerequisite for quality interaction between teachers, subjects and objects of the educational process in the digital world. In particular, what format, ethical norms and legislative aspects of regulation of the digital educational process, including relevant content, should be the basis for such interaction.
DESIGN AND FABRICATION OF RECON SPYBOT

Consider how warfare will look in the future when it is fought entirely by autonomous robotics an increasing number of dangerous missions can be performed by robots instead of human soldiers such as searching for terrorists in caves protecting cities from sniper fire and patrolling skies and waterways with little cover from attack robots can also be used to clear minefields and other hazardous areas where human soldiers have been killed. The recon spybot is built to spy on critical situations where a human being is unable to go and it is also used for rescue purpose
ACNN: Arbitrary Traces Attack based on LeakageArea Detection

Abstract Deep Learning-based Profiled Side-Channel Analysis (DL-PSCA) has become an important research method in the field of Side-Channel Analysis (SCA). The current research of DL-PSCA is based on publicly available datasets. Both the training set and attack set are derived from the same batch of collected data and are well-organized, resulting in the disregard of differences arising from the condition of trace measurement that exists in actual attack scenarios. Specifically, the timing of measurement is inconsistent due to the fact that attackers have different levels of control in terms of profiling and attacking devices. To bridge the gap, we assert that it is necessary for a network to explicitly identify areas of leakage and subsequently predict the leaked values. By decomposing conventional DL-PSCA into tasks of finer granularity, we have been able to restructure DL-PSCA as a regression task that operates in asliding window manner. Therefore, we present Arbitrary Convolutional Neural Network (ACNN) that is composed of a feature extractor and a regressor, which scans the input trace of arbitrary length for leakage localization and leakage value prediction in a sliding window way. We use the public datasets DPAv4.2 and ASCAD respectively to simulate variable traces and verify the effectiveness of our approach on unmasked and masked devices. The experiments show that no matter if the implementation is protected with masking scheme, the network can accurately identify the leakage areas and predict the leaked values. In terms of key recovery performance, our architecture is on par with state-of-the-art.
Fraud Detection in Malaysian Financial Institutions using Data Mining and Machine Learning

The escalating threat of fraud in financial institutions is a global issue, with the Malaysian sector being no exception. This study focuses on the implementation and efficacy of Data Mining and Machine Learning methodologies in identifying and mitigating fraudulent activities within these institutions. The paper critically reviews existing literature, bridging the gap between advanced technology application and fraud management. Fraudulent transactions in the financial sector are dynamic and sophisticated, requiring advanced detection techniques. Traditional approaches often struggle to manage this complexity effectively, demonstrating a need for more advanced and adaptive strategies. This is where Data Mining and Machine Learning techniques, renowned for their predictive and analytical prowess, can significantly contribute. Data Mining, the process of uncovering patterns and correlations within large datasets, is a useful tool for detecting anomalies that may suggest fraud. The study assesses various data mining techniques, such as clustering, classification, and association, and explores their application in detecting fraudulent transactions. Findings indicate that these techniques can substantially enhance fraud detection rates while minimizing false positives. Furthermore, Machine Learning, an artificial intelligence subset, has shown immense potential in fraud detection. Its ability to learn from and make decisions based on data makes it a viable solution for fraud detection. This paper explores both supervised and unsupervised learning algorithms and their efficacy in identifying fraud in the Malaysian financial sector. Results suggest that machine learning models, when correctly implemented, can significantly improve the accuracy of fraud detection. The review underscores the importance of employing advanced technologies like Data Mining and Machine Learning to combat financial fraud effectively. It also suggests future research directions, emphasizing the need for context-specific, localized models considering Malaysia's unique socio-economic environment. Moreover, the development of hybrid models, integrating both data mining and machine learning, could offer improved results. In conclusion, this study sets a precedent for further exploration into the application of advanced analytical tools in fraud detection in the Malaysian financial sector. The potential these technologies offer for improving accuracy and adaptability in fraud detection systems is substantial and warrants thorough investigation. Keywords: Fraud Detection, Malaysian Financial Institutions, Data Mining, Machine Learning, Financial Fraud Management
Augmented Reality with Speech Recognition for Animal Recognition Applications

The advance of educational technology is significantly changing and is very effective in supporting education nowadays. However, technology to support education in Indonesia is not maximal; one of the cases occurred in the PGRI Sumedang Kindergarten. Teachers at PGRI Sumedang Kindergarten have difficulties providing material that can build students’ interest, especially general knowledge about animals. This study aims to design Augmented Reality (AR) technology features with Speech Recognition for an Android-based interactive multimedia application of animal knowledge to assist learning activities in PGRI Sumedang Kindergarten. AR is a computer technology that combines virtual objects with the real world. This AR feature uses a card-shaped marker with an image and speech recognition as a medium for interaction with animals. Speech recognition is a computer technology to process human speech into digital letters or words. The resulting interaction is that if the user pronounces the animal’s name displayed in AR, the animal animation will move. This AR feature can help to learn activities at Kindergarten PGRI Sumedang.
Recognising and detecting patterns of village corruption in Indonesia

The increasing trend of village-level corruption cases in Indonesia needs to be addressed by the government. The National Strategy of Corruption Prevention (NSCP) policy couldn't improve Indonesia's corruption perception score. Corruption prevention policies have so far not targeted villages with certain characteristics. The Village Development Index (IDM), measured by the Ministry of Villages, Disadvantaged Regions, and Transmigration, should identify villages affected by corruption cases. This research uses the qualitative descriptive method. The results show that those most affected by corruption cases in Indonesia are developing villages on Java Island. Other results find the need for an analysis of fraud or fraud analytics in villages using information technology or data processing. The practical implication of the research is a basis for revising corruption prevention and detection policies and determining the target groups.
Comparing Gesture Recognition Approaches for Robot Control

This paper delves into the development of a gesture-based interface tailored for controlling a mobile robot equipped with a manipulator. The interface leverages a camera system to track a person's movements and discern arm motion-based gestures. To ensure robust tracking even in environments with varying lighting conditions, an adaptive tracking algorithm is employed. The study compares two distinct approaches for gesture recognition: a template-based method and a neural network approach. Both techniques are integrated with the Viterbi algorithm to identify not only static arm poses but also arm motion-based gestures. The research findings are presented within the context of an interactive clean-up task, wherein the robot receives directives from a person to clean specific locations and collect trash. Given the increasing significance of service robotics and its potential societal impact, the development of intuitive and user-friendly interfaces for human-robot interaction is crucial. While previous research has predominantly focused on navigation and manipulation aspects, few robotic systems exhibit flexible user interfaces that facilitate natural and seamless control of the robot.
Gesture-Based Interface for Manipulator-based Mobile Robot Control

The focus of this paper is on a gesture-based interface designed for controlling a mobile robot equipped with a manipulator. This interface employs a camera to track a person's movements and recognize gestures that involve arm motion. To enable the robot to follow a person reliably through environments with changing lighting conditions, a fast, adaptive tracking algorithm is utilized. The paper compares two alternative approaches for gesture recognition: a template-based approach and a neural network approach. Both methods are combined with the Viterbi algorithm to recognize arm motion-based gestures in addition to static arm poses. The results of this study are presented in the context of an interactive clean-up task, where a person directs the robot to specific locations that require cleaning and instructs it to pick up trash. Service robotics is currently an important area of research, with significant potential for societal impact. As service robots interact directly with people, developing intuitive and user-friendly interfaces is crucial. While prior work has primarily focused on navigation and manipulation, few robotic systems possess flexible user interfaces that enable natural and easy-to-use control of the robot.
ARCHITECTURE AND CONSTRUCTION STUDENTS' PERCEPTION OF “TECHNICAL DRAWING” AND “DESCRIPTIVE GEOMETRY" DISCIPLINE CONTENT

The present paper highlights the results of pedagogical research conducted at the Architectural Department in the Kamianets-Podilskyi Professional College of Construction, Architecture and Design. The study considers the vocational pre-higher education students’ perceptions of various graphic works in drawing and descriptive geometry in the context of graphic work features, and understanding the significance of drawing works for the formation of a future specialist in the construction industry. Students were suggested to fill in the forms with a list of the curriculum topics and give grades according to three criteria: usefulness for the future profession, the complexity of the graphic work and the engagement in performing the task.Research results provide problem-solving solutions related to teaching methodology of such disciplines as "Technical Drawings", "Drawings and Basics of Descriptive Geometry" and "Descriptive geometry".Based on research findings, the recommendations concerning teaching and increasing interest in educational material can be made. It has been found that certain topics do not arouse much interest in students, so we recommend improving students' motivation in the classroom by employing engaging tasks, taking into account the peculiarities of perception and attention when studying these topics. The topics that are difficult to master according to students' responses require more hours for studying, and the topics that students consider least useful should be reviewed, reformatted, or even excluded from the program.
FACTOR ANALYSIS OF WEB-BASED IDEA MANAGEMENT SYSTEM APPLICATION RESULTS

the aim of the study is to reveal the underlying factors from variable data collected on the results of the web-based ideas management systems related to management and tangible results in companies. The purpose of the factor analysis process is to collect the information contained in a large number of changes in such a way as to obtain latent factors with minimal data loss. Authors have conducted global survey for enterprises that apply these systems (n500). The 8 variables that fit together reveal the latent factor “tangible” or tangible results and the remaining 6 variables that together reveal the latent factor “managerial” or the management results.
The Structure and Content of the Response Text in the Indonesian Language Textbook for Class VII Junior High School

Response text is one of the texts that must be mastered by junior high school students. To understand the response text, it is necessary to study the structure and content of the response text first. For this reason, the research objective is to describe the structure and content of response texts to Itam and U books in Indonesian textbooks for Class VII Middle Schools. The research method uses the qualitative content analysis method of the Mayring model. Data collection techniques used documentation techniques sourced from Indonesian language textbooks for Class VII Middle Schools published by the Center for Curriculum and Books. The main instrument is the researcher assisted by data tabulation and coding. Data were analyzed using the Mayring content analysis model. The results of the study show that the structure of the response text to Itam and U books in Indonesian language textbooks for Class VI Middle Schools are context, description, and assessment. Context as the part that contains the introduction of the book to be responded to. The description contains a more detailed explanation of the contents of the book, from story ideas, plot, to the characters. While the assessment contains the reader's personal assessment of the book, including its shortcomings, strengths, and suggestions for the book.
ADAPTIVE IMAGE ENHANCEMENT MODEL FOR THE ROBOT VISION SYSTEM

Robotics is one of the important trends in the current development of science and technology. Most modern robots and drones have their own vision system, including a video camera, which they use to take digital photos and video streams. These data are used to analyze the situation in the robot's camera field of view, as well as to determine a real-time robot's behavior algorithm. In this regard, the novelty of the paper is special polynomial mathematical model and method for adaptive gradational correction of a digital image. The proposed model and method make it possible to independently adjust to brightness scales and image formats and optimally perform gradational image correction in various lighting conditions. Thus, ensuring the efficiency of the entire subsequent cycle of image analysis in the robot's vision system. In addition, the paper presents the results of numerous experiments of such gradational correction for images of various classes, as well as conditions of reduced and increased levels of illumination of the field of view objects. Conclusions and recommendations are given regarding the practical application of the proposed model and method.