Reviewerly/exHarmony huggingface dataset:
Hybrid Image Encryption Using Elliptic Curve Cryptography, Hadamard Transform and Hill Cipher

In this digital world, communication systems have witnessed abundant usage of media over the platforms. Among these, providing security in transmission of images is highly important, and attained a lot of research interest due to its high consideration in both the industry and the academic community. This paper proposes a hybrid asymmetric image encryption algorithm using Elliptic curve cryptosystem (ECC), Hadamard transform and Hill cipher algorithms. Based on the Diffie–Hellman public key exchange method a point on the elliptic curve is selected and agreed between both the sender and receiver. The key relies upon the ECC and it is difficult to resolve the ECDLP to get it. The proposed algorithm involves two stages of encryption, primarily, the XOR function is applied on the Elliptic curve Diffie-Hellman (ECDH) shared secret key and the hadamard image. In the subsequent stage, ECC is combined with the hill cipher algorithm. Encryption and decryption uses self-invertible key matrix, hence the process of finding inverse key becomes redundant during decryption which improves the speed of execution. It also enhances the security and efficiency compared to original hill cipher method. The results are compared with other ECC methods proves that the current cryptosystem attains large key space, highly key sensitive, low correlation and can resist against differential and statistical attacks.
Engaging everyone with open data science

Teaching of statistics should focus more on practical data science, with a special emphasis on data wrangling: Preparing the data for the analyses, looking at the data via clever visualizations, and learning the principles and practices of open science and reproducible research. The statistics curriculum should be updated and the term “data science” used as a synonym to statistics. In all possible fields, there is a huge need to have more data scientists. To engage everyone with “open data science” (open data, open science, and data science), we have created a new course, where students from all levels and fields work together and share their ideas with openly available data sets and freely available state-of-the-art software tools, such as RStudio, R Markdown, and GitHub. The new course has been quite successful in engaging extremely heterogeneous groups of students to challenge themselves to a “next level” by learning new skills of open data science.
Crowd tracking and monitoring middleware via Map-Reduce

This paper presents the design, implementation, and operation of a novel distributed fault-tolerant middleware. It uses interconnected WSNs that implement the Map-Reduce paradigm, consisting of several low-cost and low-power mini-computers (Raspberry Pi). Specifically, we explain the steps for the development of a novice, fault-tolerant Map-Reduce algorithm which achieves high system availability, focusing on network connectivity. Finally, we showcase the use of the proposed system based on simulated data for crowd monitoring in a real case scenario, i.e. a historical building in Greece (M. Hatzidakis’ residence). The technical novelty of this article lies in presenting a viable low-cost and low-power solution for crowd sensing without using complex and resource-intensive AI structures or image/video recognition techniques.
MENINGKATKAN KEMAMPUAN MENGIDENTIFIKASI STRUKTUR DAN UNSUR KEBAHASAAN TEKS CERITA FANTASI SISWA KELAS VII B SMP NEGERI 6 TABANAN

Learning to identify the structure and linguistic elements of fantasy story texts has been taught in class VII B State Junior High School 6 Tabanan according to the 2013 curriculum. the average obtained by students is still relatively low. This happens because of the inaccuracy of the learning method applied by the teacher when the learning process takes place. Teachers theorize more, so students feel bored and less interested in participating in learning. This study aims to describe students' abilities in identifying the structure and linguistic elements of fantasy story texts before and after applying the discovery learning method and improving learning outcomes obtained by class VII B students of State Junior High School 6 Tabanan in the 2021/2022 academic year. Data collection methods used, namely the method of observation, test method and method of recording documents. Observation method was used to obtain data about students' attitudes and behavior. The test method is used to determine the students' ability to identify the structure and linguistic elements of fantasy story texts. The data analysis method used is descriptive analysis method. Based on the data analysis that has been carried out, the results obtained are, the average value of students in the pre-cycle is 65.00 then in the first cycle it increases to 73.82 with a percentage increase of 14.76% and in the second cycle it increases again to 84.41 with a percentage increase of 14.76%. an increase of 15.51%. Thus, if it is connected with the action hypothesis, the ability to identify the structure and linguistic elements of fantasy story texts by applying the discovery learning method for class VII B students of State Junior High School 6 Tabanan in the 2021/2022 school year increases significantly.&#x0D; &#x0D; Key words: Identifying, Structure and Language Elements, Fantasy Story Text, Discovery Learning Method
Iterative Design

User Centred Design means finding out how systems are used with their real users doing real tasks. The insights from working with users leads to design insights and ways to improve the systems.
Penerapan Ensemble Stacking untuk Peramalan Laba Bersih Bank Syariah Indonesia (BSI)

Univariate data prediction has been done by many researchers with various methods used. The research was conducted using one method, several methods to combine several methods. This research uses several methods and simultaneously combines several methods. The method is by applying the Ensemble, namely Stacking. Meanwhile, the univariate data used is the Indonesian Sharia Bank Monthly Profit Data. This study aims to prove the accuracy of ensemble stacking prediction results by applying the SVM, Random Forest, Neural Network, and General Linear Model algorithms. Based on the results of the study, it was found that by applying Stacking the most accurate results were obtained for predicting univariate time series data (Indonesian Islamic Bank profits), where the RMSE generated was 0.534
Segmentasi Citra Bunga Menggunakan Blob Analisis

Content Based Image Retrieval (CBIR) for image segmentation is a concern this year, especially in the development of computer vision. The object discussed in this study is about interest, which uses a dataset from ImageCLEF2017 by taking 8 flower samples. Image of flowers in the dataset is still a lot of noise such as the initial background behind objects such as leaves, tree trunks or others. So we need a method to eliminate the noise, this method for cleaning noise is done by color clusters using the K-means method. By color clustering using K-Means and using color clusters k=2,3,4,and5. After that, a morphological process is carried out in order to obtain a clean area so that it can be compared with the original image and the Blob values formed. Blob analysis is calculated after the process of cleaning the noise is done in order to get the best value in the process of recognition of images with objects of interest. The results of the segmentation process that have been done are the highest MSE and RMSE values are at k-means results with k=4, while for PNSR are at k=2, and for the lowest MSE and RMSE values are at k=5, while the lowest PNSR is at k=4
Seminary projects in the process of obtaining mathematics knowledge, digital skills and time management competences

University study consists of a variety interconnected tasks that student must complete to pass exams.Seminary projects are part of the study of mathematical subjects and assessment of students' knowledge.In this paper, we analyze a set of seminary projects in mathematics, which students elaborated and sent for evaluation in electronic form.The main goal of the paper was to analyze the time interval of uploading projects into the university information system and to compare the score of particular projects.The approach of students to seminary projects in terms of time management was the basis for determining the uploading models using tools for expressing trends in MS Excel.Results of analysis confirmed that part-time students are able to use digital tools and methods of individual learning in the process of obtaining and development of mathematics knowledge.
Expert System Logika Fuzzy Penentuan Proses Penanaman Bibit Unggul Kayu Manis dengan Metode Mamdani

Cinnamon is a plant that many people are interested in because cinnamon has a high selling value. Cinnamon has two advantages when it grows big, namely the bark and the wood can be marketed at a high price. Currently, many people are friends with cinnamon to support future needs. The problem of this research is the lack of information and understanding of the community in choosing cinnamon that is suitable for planting so that it thrives and has good quality. The purpose of this research is to help the community in choosing good seeds for planting. The settlement of this case uses the expert method of Mamdani, the process of solving the Mamdani method uses the OR operator. The working process of the Mamdani method is fuzification, inference engine, application of implication functions and the last is defuzification. With the decision-making system in selecting superior cinnamon seeds, it is hoped that it can help and facilitate the community in making decisions in choosing superior seeds with more accurate results. The results of this study are in the form of a prototype with the input process in the form of planting land, cinnamon seeds, the process of planting shoots, and maintaining cinnamon as output in the form of decisions, namely Very Satisfactory, Satisfactory and Unsatisfactory
The Conditioning of the Digital Environment on Cognitive Processes of Modern Students: the Opinion of Teachers of Ukraine

The present publication reflects the results of the latest research in the field of theory and practice of learning in the growing dominance of artificial intelligence and digital reality.The simultaneous presence of people in two worlds -the physical in the virtual causes the emergence of a special cognitive style -clip thinking.The article presents the results of the analysis of the essence of the phenomenon that distinguishes modern people from previous generations -a special cognitive style, which is manifested in clip art.Clip thinking is the antithesis of linear thinking and causes a fragmentary perception of the world in the form of a clip without establishing relationships.Clip thinking is an individual's protective reaction to the rapid growth of information flow, to the oversaturation of information that a person is unable to comprehend, process and remember.The article presents the results of an online questionnaire submitted to Google forms and analyzes the opinion of the educational community of Ukraine on the causes of clip thinking, the main aim of which is the influence of the digital environment on the cognitive processes of modern students.According to teachers' observations, the peculiarities of cognitive processes of modern students and their preconditions are determined.A comparison of the answers to the questionnaire of teachers from different levels: primary, basic, specialized schools, as well as colleges and universities.The conclusion is made of the need to introduce new teaching methods that take into account the clipping thinking of students, and provide for the presentation of educational information in both material and digital form, as well as with the use of hyperlinks.
DEVELOPMENT OF A CATALOG OF ELECTRONIC EDUCATIONAL RESOURCES ON GEOMETRY

An indicator of the successful functioning of modern society is the use of information technologies in various fields of activity. The dependence of the effectiveness of the educational process on the implementation of information technologies is growing every year. The available electronic educational resources provide significant assistance to the teacher, but the provision of all components of the educational process is possible as a result of a didactic rethinking of the available materials in the context of specific learning goals in a specific group of students. The paper presents a description of the author's development of an electronic educational resource on the topic “Triangles”.
Manipulasi Gambar dengan Transfer Gaya Menggunakan Convolutional Neural Network

Recently computers have been able to produce photographs that allow users to compose selfies with van Gogh paintings. Inspired by the power of convolutional neural networks (CNN), he first learned how to use CNN to reproduce famous painting styles combined with self-portrait images. The method used is called a neural network transfer. However, early versions of neural networks had optimization problems, requiring hundreds or thousands of iterations to transfer forces combined with a single image. To overcome this in-efficiency, researchers developed the CNS-style PerStyle-Per-Model (PSPM) transfer method. The development of force transfer using a deep neural network is also called NST by training the VGG-16 model to change any image in one feed, foward propagation. A trained model can adjust to any drawing mode with just one iteration instead of thousands of iterations over the network and to get the most objective possible style of transfer
Research and Implementation of Robot Path Planning Based on Ant Colony Algorithm

Intelligent mobile objects (mobile robots) are gradually integrated into People's Daily life, and path planning is the core of this kind of robots. In this article, ant colony algorithm is adopted to plan a global path through all points in the global space based on pheromone changes, so as to solve the practical problem that a robot needs to walk n points at a time and cannot repeat, and its distance is the shortest. Finally, the shortest path is solved based on MATLAB simulation platform.
CARES Model for Computing Education

In this paper, we present a CARES model for computing education. It consists of three layers: core layer (“think”), course layer (“learn”) and career/development layer (“develop”). The core layer is concerned with two fundamental thinking skills: computational thinking and creative thinking. The course layer is about the curriculum. The career/development layer is for development in four major areas: Application (applying knowledge), Research (advancing knowledge), Entrepreneurship (innovating/realizing knowledge) and Service (serving with knowledge). A freshman seminar subject has been designed based on the application, research and entrepreneurship elements of the CARES model, and the teaching experience for this subject is presented.
Forensic Analysis of Apple CarPlay: A Case Study

Apple CarPlay is a system that puts some features of your iPhone or iPad onto the infotainment screen of a CarPlay-equipped vehicle, allowing drivers to use those features when driving. Using Apple CarPlay, drivers can get turn-by-turn directions, make calls, send and receive text messages, and listen to music. In this paper, we conduct an actual driving test by connecting an iPhone to a vehicle that supports Apple CarPlay. After driving, we acquire and analyze the CarPlay data recorded on the iPhone in detail. Through the analysis of the collected data, it is possible identify iPhone connection time, the driving destination, the GPS coordinates and speeds of the vehicle during driving, etc. We can accurately reconstruct travelled routes of the vehicle using the identified information. Our approach and results of collecting and analyzing the CarPlay data can be used for vehicle forensics.
READINESS OF THE DIGITAL INFRASTRUCTURE OF HIGHER EDUCATIONAL INSTITUTIONS IN UKRAINE FOR MASS DISTANCE LEARNING

Purpose. Digitalization of higher education is a long-term trend that has gained a new impetus for further devel- opment due to the forced transition to distance learning during the pandemic COVID-19. The article analyzes the im- pact of digital transformation on the educational process in higher education institutions via teachers’ and students’ per- ception; explores the experience of mass distance learning provision in Ukraine’s higher education system due to COVID-19. Methodology. The research study is based on the survey results conducted by the authors in November- December 2020 among teachers and students of sixty-five Ukrainian institutions of higher education. The authors have also explored the current state of the educational process provision in the sector of higher education in Ukraine, the EU and the world under the conditions of the pandemic; have identified problem areas in the work of higher education inst i- tutions during quarantine and social isolation conditions, as well as challenges in each structural integral. Results. The authors have specified the transformational changes experienced by the global higher education system under the im- pact of the pandemic, which bring to higher education institutions a huge number of serious challenges and will signifi- cantly change the global higher education system in the future. Originality. The paper investigates students' attitudes towards distance learning as a three-level unity with emotional, cognitive and behavioral aspects and draws a general conclusion that, in general, distance learning is both a field of opportunity and a possible source of individual and inst i- tutional risks. Practical value. The article determines the directions of e-learning in the entire system of distance learn- ing in the national system of higher education in the pandemic and after it. This article was prepared within the framework of the research project “Potential of higher education in conditions of the pandemic: global, European, national dimensions” of the National Research Fund of Ukraine.
LemmaQuest Lemmatizer: A Morphological Analyzer Handling Nominalization

The discussion in this paper is related to extracting a single lemma from different morphological variants related to a particular dictionary root word. The existing popular online lemmatizers like the Stanford LemmaProcessor, Spacy Lemmatizer, LemmaGen, MorphAdorner, etc. generate the correct lemmas for all singular-plural nouns and all verbal words existing in different tenses, but all these lemmatizers are not able to derive the correct lemma for any type of derived words; specially for nominalized derived words. The proposed lemmatizer – ‘LemmaQuest’ is designed and implemented to overcome these limitations. LemmaQuest first creates distinct groups for all allied morphed words like singular-plural nouns, verbs in all tenses, and nominalized words. These groups are created based on a combination of different statistical distance measures considering all possible pairs of input words. After that, lemmas are generated for each group. The main objective of this proposed model is to extract the correct lemma for a set of a large number of input words in an optimized time, which leads to a vast improvement in text simplification, keyword extraction, text summarization and other text mining applications.
Logical Approach to Finding Outliers in Data

In this paper, we discuss a logical approach to classification of data and identification of outlier in them. We propose an algorithm for finding all possible classes for a given subject area based on the classifier logical function. We analyze these classes and identify the most pronounced patterns corresponding to the classification principles.
Axiological constants of educational mobility

The article analyzes the process of educational mobility in terms of educational philosophy. The philosophical and axiological constants of educational mobility allow us to clearly indicate the purpose of this process. Advantages and disadvantages of mobility form value priorities in integration educational cluster. Values are a litmus test of expediency and effectiveness of mobility for subjects of education and educational system. Axiological human dimension of education ensures its sustainable progressive development, while integration is only a tool to ensure it. The aim of the work is to develop a system of axiological norms formed in the process of educational mobility. It is practically impossible to create a universal system of values for the educational sphere, so we consider dialectical contradictions of socio-cultural categories as an acceptable methodology for the formation of relevant mobility axiological constants. Contradictions of globalization and identification trends, imbalance of in formativeness and communicativeness of educational process, contradictions in issues of openness and accessibility of education, correlation of pragmatic and humanistic ideas in learning, classification of horizontal and vertical forms of mobility are the categories that provide a common understanding of value priorities in education.
Admission to the Lyceum Math Class: Problems, Contradictions, Solutions, Results

Some principles, in accordance with which admission to the lyceum mathematical class is organized, are formulated in the chapter. Written entrance work and oral interview are described. It is told about the use of algorithmic puzzles for diagnostic purposes. The expediency of transition to the profile class of students with different mental abilities is analyzed. Some features of learning technology are described.
Business Libraries

The business library, or information bureau, is a modern introduction, and only in quite recent years has it grown to large numbers. The business library is a vital necessity to every firm desiring to be progressive. The business library is usually concerned with books as such in large numbers, but with the mass of periodical literature and newspaper clippings which are so essential to keep the library up to date. Pamphlets and clippings are of the greatest importance in the business library, but to be of full service they must be carefully and methodically arranged, so that instant use can be made of them when required, and that a specific place is reserved for them when in use. The vertical file consists of manila folders and guides, kept upright in a set of drawers or cabinets, and arranged in systematic order. The cost of a business library is mainly concerned with staff and equipment.
TikTok sa likod ng mga mag-aaral sa komersyo

One of the trends for students today is TikTok a video sharing social networking service that originated in China owned by Byte Dance.Used to create short videos of dance, lip-sync, comedy and talent, Tiktok is trending fast in social media, and we see this on Facebook, Instagram, and YouTube.The purpose of this study is to identify and evaluate the Tiktok behind the students in the first year of college in the commerce course at Veritas College of Irosin in the year 2021-2022.Descriptive analysis was the design used in the research.Random sampling was used to collect data from 100 student participants from the first year in the college of commerce.Ortiz (2015) also agrees that experimental research can actually test an assumption or hypothesis about the cause-and-effect relationship.This is often considered the most sophisticated technique of research to test the assumptions.Dilon's (2020) study revealed that with continued use of the TikTok application the users can become anti-social.Like other social applications, TikTok also does not require direct interaction with others for the formation of their own.It is said that young people spend their time using social media apps to spend time, have fun, and gather a variety of information.The study also shows that most users of applications like TikTok are shaping themselves and making it a way to overcome self-deficiencies through indirect interaction.