Reviewerly/exHarmony huggingface dataset:
ATM Security System Based on IOT

The evolution of technology has led to many innovations that ease our life, like digitisation, automation, Artificial intelligence, Data science, etc. Though these technologies are helpful, they come with a cost. Digitisation makes us more vulnerable to cyber-attacks and crimes. Digitisation in finance sectors like banks, stock markets and ATMs is more susceptible to theft and cyber-attacks as they hold a high financial risk. One concern that we are addressing and aiming to improve is the Security System of ATMs. ATM systems made financial transactions more accessible, but they pose a risk to Financial and customer security. Various ATM security systems were developed to combat thefts and cyber- attacks, but they address customer security issues like ATM card trapping, skimming, and cloning. We aim to provide security for the bank and Cash Management Company loading the cash in the ATM. The ATM security system we are developing ensures proper authorisation using a biometric sensor. Key Words: Security System; ATM frauds; Embedded systems; Internet of things(IOT); Automation; Authorisation; Microcontroller; Arduino; Control systems.
The Historical Pathway of Instructional Materials and the Discourse of Teacher Competencies: Focusing on Teacher Competencies in UNESCO’s Educational Programs

The main focus of this study was to examine the relationship between the development of educational technologies and teacher competencies. The study focused on UNESCO's educational assistance programmes since the end of the Second World War. To this end, the study heavily relies on archival resources in UNESCO's official documents such as proceedings, conference papers and official reports. It also examines the required teacher competencies for ICT and emerging AI education that have emerged since the 1980s with the development of information and communication technologies, to identify how these competencies differ from previous ones, and to stimulate discussion on the implications of these changes. The rapid development of technology and new media has led to demands for changes in the field of education, with teacher education being no exception. Hence, exploring the global trends of how teacher competencies are presented and their necessity will serve as a vital foundation for organizing teacher competencies in current teacher education in Korea through evolving technology and changes in media.
Exploring benefits and models of blended learning technology in modern professional training

The article shows the main ways of applying the mixed learning technology in the modern professional training of specialists. The purpose of the article is to find out the main ways of applying the technology of mixed learning in the modern professional training of specialists. The methodological concept provides a categorical and component analysis of the technology of mixed learning in the modern professional training of specialists in the following dimensions: philosophical, psychological, cultural, socio-pedagogical. The following methodological approaches were used in the article: sociosystemic, informational, synergistic, interdisciplinary, axiological, cultural, structural and functional and subject-activity. In connection with the digital transformation of education, we will distinguish three main components of mixed learning that can be implemented in a higher education institution, that is, in its information and educational environment (traditional learning (face to face); self-study learning; joint online - learning (online collaborative learning). The four basic models of mixed learning, which are discussed in the article, are the most popular (rotational model, flexible model, self-mixing model, virtual-enriched model).
A Reading Aloud Digital Application Based On An Android System Is Being Created By SMPN 2 Sidrap

Reading aloud is frequently taught to junior high school students as a way of improving their English, particularly in the 7th grade. These factors make it imperative to perform research on creating an android-based reader digital application since technology could lead to engaging and effective teaching and learning methods. The study's objectives are to learn more about the process of creating an android-based reader digital application as a tool for teaching reading aloud to 7th grade students at SMPN 2 Sidrap and to determine whether such an application is practical. Research and Development (R&amp;D) process by Borg and Gall, which included 10 steps, was utilized to develop the product. And because there is a limited amount of time and the product can only be developed in seven processes, it has been condensed to seven. the questionnaire-based observation. a method for gathering information from numerous validator expertise. Student survey data are used to determine effectiveness. The survey's findings reveal that the materials expert's overall score was 93.8% and that media experts' display layout and design received a score of 90%. 85% of the information from a poll of 30 students was collected. The outcome demonstrates that both teachers and students are in favor of using applications to aid in the acquisition of English. The pupils exhibit an interest in using the software as a virtual teacher assistant and feel more driven to study English using it.
Teaching Methods used by EFL Teachers Towards Student Interest and Achievement in Writing: A Case Study at SMA Negeri 10 Sidrap

This article investigates whether or not the use of a teacher way of teaching can improve the ability of SMAN 10 SIDRAP students to write descriptive compositions, as well as students' interest in learning to write descriptive compositions by using a teacher teaching method in classes X IPA and XI IPS. The descriptive qualitative approach was used in this study. The total population was 155 pupils, and two classes and two English teachers were chosen as samples using the saturation sampling approach, class X IPA (15) and XI IPS (15). In this study, the descriptive-composition and questionnaire were used to gauge students' interest. From the result of data analysis, the researcher found that the mean score of students Class X IPA (78.00) and students Class XI IPS (77.46). This shows that the score was above of curriculum standard. The researcher concluded that teachers teaching method in teaching writing-improved the students’ ability to write descriptive composition at X IPA and XI IPS, and the students interest Class X IPA (84.76) and students Class XI (85.17) it was categorized in strongly interested. It show that, the students of SMAN 10 SIDRAP-interested to learn write descriptive composition toward teachers teaching method.
Plagiarism in Research: Problems and its Solutions

The study discusses reasons for plagiarism and UGCs promotion of academic integrity and prevention of plagiarism in higher educational institutions. Several cases are there, that clearly shares about the literary theft in academic settings which may happen due to 10 reasons that includes lack of knowledge, lack of expressiveness, limited time to reach the goals or sometimes just because of unwillingness to work and few others. The paper also touched on various facets of plagiarism, including plagiarism methods, types and problems with plagiarism. It is highly suggested to read more, explore the field of knowledge, etc. to avoid plagiarism, use of anti-plagiarism tools which clearly helps the scholar to stay away from any misconduct and their limitations, and exclusion and penalties for Plagiarism as per the UGC Regulations, 2018. It is found that there are basically 4 methods that someone would encounter while going for an intentional or unintentional literary theft i.e., copy and paste, synonym replacement, manual paraphrase and translational methods. Types of plagiarism like verbatim, mosaic, paraphrasing and translational plagiarism are most common however others are equally used by scholarly writers. As uniqueness is the basis to achieve good position, one must take pledge to no plagiarism and follow established guidelines that surely will show a defined path to work without cheating and committing misconduct. Finally, the authors advocate methods to prevent plagiarism by utilizing proper citations, academic writing tools, and steps to avoid plagiarism among students, improve their academic integrity of research works, and point toward future strategies.
Correlation Between Student's Mastery Vocabulary And Speaking Skill

The objective of the research was at measuring correlation between student’s mastery vocabulary and speaking skill of the eleventh grade at SMAN 6 Sidrap. Variables of the research were the student’s mastery vocabulary as independent variable (x) and speaking skill as dependent variable (y). In this study, the researcher used correlation design, where the researcher used this design to correlate two variables. The population of this research was all of the eleventh grade (XI2) students of IPA class at SMAN 6 Sidrap and the number of the subject was thirty two students. In collecting the data, the researcher used some test was vocabulary test and interview. In this research, the researcher used cluster sampling technique to chosen classes. The researcher analyzed the data using Pearson Product Moment Correlation and Linear Regression with SPSS 21 program to test the hypothesis. The result of calculation using SPSS 21 program found that the rvalue 0.532 was also higher than rtable at 5% and 1% significant level or 0.349 &lt; 0.532 &gt; 0.449. It could be concluded that alternative hypothesis (H1) stating that there is a significant positive correlation between student’s mastery vocabulary and speaking skill of the eleventh grade at SMAN 6 Sidrap is accepted and null hypothesis (H0) stating there is no a significant positive correlation between student’s mastery vocabulary and speaking skill of eleventh grade at SMAN 6 Sidrap is rejected. The result of calculation of contribution between student’s mastery vocabulary (variable X) gave about 75.33% contribution to the speaking skill (variable Y) of the sample class and 25.66% was influenced by other aspects. Based on the research findings, in is shown that there is a very significant positive correlation between student’s mastery vocabulary and speaking skill of the eleventh grade at SMAN 6 Sidrap. It meant that the student who had lack of vocabulary.
The repression and identification that appear in advertising communication Impact on the effect of consumer persuasion

This study was designed to verify the hypothesis that surrealist advertisements Repression and Identification during self-defense mechanisms can affect the psychological attitude of the audience and appear differently depending on persuasion. Specifically, through experiments, the advertising persuasion effect of expression advertisements Repression and Identification was compared and analyzed according to the case type. As a result of the experiment, the persuasion effect of advertisements expressing Repression and Identification was positive. This effect was greater when the self-defense mechanism expression advertisements of Repression and Identification was manipulated with oppression. This study revealed that the self-defense mechanism should be considered in order for the advertising persuasion effect of advertising communication to appear positive, suggesting both academic significance and practical significance of expanding the results of existing advertising communication expression studies.
A Computer Program For The System Of Weak Fuzzy Complex Numbers And Their Arithmetic Operations Using Python

Weak fuzzy complex number system is considered as a generalization of complex numbers by using an algebraic element with fuzzy property. It is believed that this new numerical system will play many important roles in various computer science disciplines, proceeding from this importance this paper aims to introduce for the first time the algebraic operations defined on weak fuzzy complex numbers using Python and Jupyter Notebook. Hence, by building a new class and its functions in Python for this new set, we can now use weak fuzzy complex numbers and the main arithmetic operations on them.
A historical review and reflection on the evaluation and recruitment of rural teachers in China

The article analyzes the problems of recruiting and the professional titles evaluation of rural teachers in China, and also discusses ways to solves them.
$L_{p}$ Norm-Based Local Means k-Nearest Neighbor Classification with Feature Reduction

KNN is an important part of classification algorithms in machine learning, which has been extensively employed in various fields. In this research, we proposed a Lp Norm-Based Local Means k-Nearest Neighbor Classification with Feature Reduction. We extend the original Euclidean distance formula, and obtain the distance calculation formula based on P-value. Then classify and predict the data set after dimension reduction. In the experiment, we verified the effectiveness and superiority of our method by setting different k values in KNN, LMKNN and the classification accuracy obtained by our methodology (PLMKNN).
Digital Images Security Technique Using Hénon and Piecewise Linear Chaotic Maps

The security of images has become a hot research area due to the widespread usage of the digital images all over the world. Literature review on chaotic image cryptography, on the other hand, indicates that many constructs have been employed for the realization of confusion operation while developing the image ciphers. To enhance the computational time, this study proposes a novel image cipher based on two chaotic maps and rectangle as a scrambler. As the given grayscale image is input, it is scrambled through dynamically generated rectangles. As a modus operandi, these rectangles are created in the given image with various dimensions and different location. The pixels lying on the boundary of the rectangle are rotated clockwise and anticlockwise with an arbitrary amount. These operations have been repeated a number of times to get the scrambling effects. The scrambled image has been further subjected to an XOR operation for embedding the diffusion effects in it. Two chaotic maps of Hénon and piecewise linear chaotic map have been used for the generation of random numbers. These numbers help in deciding the size, location, clockwise/anticlockwise movement of the pixels and the amount with which these pixels have to be rotated. The performance analysis and the machine simulation validate that the suggested cipher is sufficient enough to thwart the varied cryptanalytic attacks. In particular, we gained the computational speed of 0.5156 seconds and the information entropy of 7.9975. Besides, we posit that it has the ample prospects for its real world application.
Using social media and personality traits to assess software developers’ emotional polarity

Although human factors ( e.g ., cognitive functions, behaviors and skills, human error models, etc .) are key elements to improve software development productivity and quality, the role of software developers’ emotions and their personality traits in software engineering still needs to be studied. A major difficulty is in assessing developers’ emotions, leading to the classic problem of having difficulties understanding what cannot be easily measured. Existing approaches to infer emotions, such as facial expressions, self-assessed surveys, and biometric sensors, imply considerable intrusiveness on developers and tend to be used only during normal working periods. This article proposes to assess the feasibility of using social media posts ( e.g ., developers’ posts on Twitter) to accurately determine the polarity of emotions of software developers over extended periods in a non-intrusive manner, allowing the identification of potentially abnormal periods of negative or positive sentiments of developers that may affect software development productivity or software quality. Our results suggested that Twitter data can serve as a valid source for accurately inferring the polarity of emotions. We evaluated 31 combinations of unsupervised lexicon-based techniques using a dataset with 79,029 public posts from Twitter from sixteen software developers, achieving a macro F1-Score of 0.745 and 76.8% of accuracy with the ensemble comprised of SentiStrength, Sentilex-PT, and LIWC2015_PT lexicons. Among other results, we found a statistically significant difference in tweets’ polarities posted during working and non-working periods for 31.25% of the participants, suggesting that emotional polarity monitoring outside working hours could also be relevant. We also assessed the Big Five personality traits of the developers and preliminarily used them to ponder the polarities inferences. In this context, Openness , Conscientiousness , and Extraversion were frequently related to neutral and positive posts, while Neuroticism is associated with negative posts. Our results show that the proposed approach is accurate enough to constitute a simple and non-intrusive alternative to existing methods. Tools using this approach can be applied in real software development environments to support software team workers in making decisions to improve the software development process.
Pemanfaatan Aplikasi Berbasis Android BukuKas

The use of Information and Communication Technology (ICT) is currently an important requirement for the business sector to facilitate operational activities, including recording financial reports. Information systems are products of ICT development in the form of computer application programs that record and record data to make it easier for users or users to re-access and process data. Digital recording provides convenience and simplicity in its use to prepare financial reports and avoid recording errors. Various financial recording application systems are provided by online application service providers, one of which is the Cash Book. The purpose of using the BukuKas Application for the Bird Feed Caterpillar Breeding business was chosen because previously the business owner was still recording income and expenses perfunctorily, so many expenses were not recorded, so the owner had difficulty checking how much the collectors owed for purchases made. Business owners also find it difficult to record income and expenses because evidence/receipts are lost. Therefore, an information system is needed that helps record transactions safely and quickly by using the BukuKas application to facilitate recording activities and as a medium for recording business transactions. This type of research was conducted using a qualitative descriptive method. Data collection techniques include interviews, WhatsApp, and observation to observe the use of recording before and after using the application so that the selected application can produce a better business report.
Fast Generation of Chance-Constrained Flight Trajectory for Unmanned Vehicles

In this chapter, a fast chance-constrained trajectory generation strategy is presented that uses convex optimization and convex approximation of chance constraints to settle the problem of unmanned vehicle path planning. A path-length-optimal trajectory optimization model is developed for unmanned vehicles, taking into account pitch angle constraints, curvature radius constraints, probabilistic control actuation constraints, and probabilistic collision avoidance constraints. Afterward, the convexification technique is applied to convert the nonlinear problem into a convex form. To handle probabilistic constraints in the optimization model, convex approximation techniques are used to replace probabilistic constraints with deterministic ones while maintaining the convexity of the optimization model. The proposed approach has been proven effective and reliable through numerical results from case studies. Comparative studies have also shown that the proposed design generates more optimal flight paths and has improved computational performance compared to other chance-constrained optimization methods.
Age and Gender Prediction

Abstract: The method of classifying facial photos or videos into distinct age groups, known as age group classification, is crucial for a variety of industries, including recruitment, security, healthcare, and intelligent social robots. This article offers a thorough methodology for classifying age groups. In order to prepare input photos for feature extraction using deep convolutional neural networks (DCNN), the methodology first preprocesses the images. The DCNN takes the source face image and extracts D-dimensional features from it. A hybrid particle swarm optimization (HPSO) technique is used to choose facial features in order to increase the distinctiveness and recognizability of facial features. The Support Vector Machine (SVM) is then used to categorize the data by age and gender. The importance of these age and gender categories in a dietary recommendation system exemplifies how this research can be used in real-world settings. The system's performance is evaluated using real-world photos, and the results show excellent results in terms of prediction accuracy and computing efficiency. Applying evaluation measures to datasets like Adience and UTKface, such as classification rate, precision, and recall, further validates the effectiveness of the suggested method.
Stochastic Resonance-Based Multi-Node Cooperative Sensing Algorithm

Dual-threshold energy detection algorithm is a relatively common spectrum sensing algorithm, but its detection performance is poor and the results are not accurate enough in low signal-to-noise ratio conditions. This article proposes a dual-threshold energy detection algorithm based on stochastic resonance. The value of the double threshold is first determined based on the uncertainty factor, and then the perceived information is subjected to hard and soft judgments. In performing the soft judgement, a multi-node cooperative perception model based on random resonance operator is constructed, and the improved manta ray algorithm is used to find the perception model weight ration to achieve effective perception of the signal. Simulation results show that the algorithm has a clear improvement in sensing effectiveness compared with other sensing algorithms at low signal-to-noise ratios.
Effect of Gd and Ce Doped BiFeO3 for Photocatalytic Activity

In this current research work deals with the synthesis, characterization and photocatalytic activity of gadolinium (Gd) and cerium (Ce) doped bismuth ferrite oxide BiFeO3 (BFO). All the samples BFO, BGF-1, BGCF-1, BGCF-2 and BGCF-3 were synthesized by sol-gel method. The structural analysis carried out by X-ray diffraction (XRD), surface morphology examined by field emission scanning electron microscopy (FE-SEM) with EDAX and transmission electron microscopy (TEM), the magnetic properties investigated using vibration sample magnetometer (VSM) and their photocatalytic activity was evaluated by Rhodamine B (RhB) dye under visible light irradiation. The results found that the Gd (0.1 wt.%) and Ce doped (0.1 wt.%) BFO showed better photocatalytic activity as compared to BFO and other samples. HIGHLIGHTS An approach rare earth materials Gd &amp; Ce doping in BiFeO3 Photocatalytic activites and Degradation constants well explained with graphs Gd (0.1 wt%) and Ce (0.1 wt%) doped BiFeO3 showed less photodegradation time than pure BiFeO3 &amp; other doping concentrations Bi9Gd0.1Fe0.9Ce0.1O3 has enhanced photocatalytic degradation for Rhodamine B Degradation of Rhodamine B for the sample BFO is about 50 % and for Gd (0.1 wt%) and Ce (0.1 wt%) doped BiFeO3 is very high that is almost 90 % GRAPHICAL ABSTRACT