Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION OF EXTENDED GENERALIZED FIBONACCI MATRICES AS A KEY IN MODIFIED ELLIPTIC CURVE CRYPTOGRAPHY

In this paper, we present a modified cryptographic technique based on the use of recursive matrices as the key in ECC and ElGamal. For encryption, we take into account mapping similar to [5] and the ElGamal technique, in which a plaintext matrix is built from points that correspond to the letters on elliptic curves. The extended generalized Fibonacci matrices, which are a sequence of matrices, have been considered in the creation of key space. The consideration of extended generalized Fibonacci matrices is delightful because it &nbsp;just requires four parameters (integers) as opposed to all of the matrix entries. Our suggested system has a vast key space and is more effective because of the use of a recursive matrix. As a result, it minimizes the complexity of both time and space. Additionally, it is secure and robust since it is based on the challenging number theory issue known as the elliptic curve-discrete logarithm issue. Received: July 4, 2023Revised: September 15, 2023Accepted: September 26, 2023
Discernment of complex lithologies utilizing different scattering and textural components of SAR and optical data through machine learning approaches in Jaisalmer, Rajasthan, India

Accurate lithological mapping is a difficult task through standard image processing techniques. We utilize the application of different machine learning (ML) algorithms on dual polarimetric synthetic aperture radar (SAR), optical data, and surface elevation images to map various lithologies in parts of Jaisalmer district of Rajasthan, India. Different SAR-derived textural and decomposition parameters were also used to improve the discrimination of various lithology units. Further, to improve the classification accuracy, different ML-based feature importance models, such as XGboost, decision tree, and random forest were implemented to select the useful bands for the classification of lithology. A total of 14 different ML classifiers were applied, and the best classifier was chosen after comparing their accuracies (overall accuracy, kappa coefficient, F1 score, and ROC-AUC curve) to map the lithology. Out of all of the classifiers used in this study, light gradient boosting machine (lightgbm) performed better in discriminating lithology (OA = 0.80, kappa coefficient = 0.75, and F1 score 0.79). In addition, the AUC values (>0.9 in all lithology units) were obtained for the “lightgbm” model, which is indicative of accurate discrimination of different lithological classes.
Challenges Facing Teachers in the Implementation of Competence-Based Curriculum in Secondary Schools in Iringa Municipal, Tanzania

This study explores teachers' challenges in implementing a competence-based curriculum in secondary schools in Iringa Municipal, Tanzania. The Study employed a Qualitative approach and a case study design. Purposive sampling was used to obtain a sample of 47 respondents. Data collection instruments used were interviews, focus group discussions, and observation. Data from the field was analyzed through thematic analysis. The Study came up with the following findings: Shortage of time, Limited Knowledge, and Shortage of Teaching and Learning resources. The Study suggested to the government that the Ministry of Education, Science, and Technology should develop an implementable curriculum to ensure other education objectives are reached due to limited time. The Ministry of Education, Science, and Technology should go to developed countries to learn from them to overcome the challenges encountered in our education system, especially the implementation of a Competence-based Curriculum. There should be follow-up mechanisms by The Ministry of Education, Science and Technology and schools in particular for Competence-Based Curriculum teaching approaches offered by secondary school teachers in Tanzania.
Behaviorism Theory and Its Implications for Learning

Behaviorism is a learning theory that emphasizes behavior as the most appropriate object to research. Behavior is considered a more suitable object of research than thoughts or emotions. This article aims to describe behaviorist theory from it’s figures, then explain it’s implications for learning. This research is a literature review research that uses deductive and inductive analysis. The conclusion of this paper is that behaviorism theory has a significant contribution to learning. Behaviorism theory emphasizes the importance of forming desired behavior through reinforcement and eliminating undesirable behavior through punishment. In a learning context, this approach can help teachers shape and strengthen desired behavior.
THE FUNCTION OF ANALOGY IN PIANO PEDAGOGY

The paper explains the role played by the practice of analogical reasoning in piano lessons, especially at the beginner level. The first stage of piano studies is the most important one in raising musicians. In order to develop a young student’s understanding and appreciation of music and piano playing, teachers use interesting and logically connected stories with plenty of entertaining characters, colorful illustrations and imaginative scenes. Comprehensive analogies with images of characters and their adventures used to introduce and expand on musical concepts in working with beginners make complicated playing techniques understandable and acceptable to them. It is very important to invoke students’ imagination and creativity using fantasy, as well as analogies from everyday life, in order to help them to envisage musical images and express them through physical movements. By making progress in piano playing, students also improve their problem-solving skills in the arts, sciences, natural environment and social life.
Medical Image Encryption Using Hybrid Adaptive Elliptic Curve Cryptography and Logistic Map-based DNA Sequence in IoT Environment

Digital medical images play an increasingly important role in diagnosing and treating diseases in modern hospitals that interact with the Internet of Things environment. Some of these images are sensitive and confidential, especially when they involve a great deal of patient privacy. Maintaining the security of these medical images is challenging. Therefore, in this work, hybrid adaptive elliptic curve cryptography (ACEE) and logistic map-based secure medical image transaction are proposed. Here, at first, we encrypt the image using the AECC technique. Then, to enhance the security of the image, again we encrypt the image using the Logistic Map-Based DNA Sequence encryption algorithm. The logistic map initial values are optimally selected using the Enhanced Mexican axolotl algorithm (EMA2). Finally, after decoding the diffused DNA matrix, we obtain the cipher image. The DNA encoding/decoding rules of the plain image and the key matrix are determined by the plain image. The performance of the proposed approach is analysed based on different metrics and efficiency compared with various algorithms. The experimental results show the proposed method attained the maximum security level of 96%, PSNR of 49.6, NPCR of 99.63%, and UACI of 33.77%.
A Speech Act Analysis of Greetings in Cameroon Social Media

Various language practices occur in computer Mediated Communication era. E-greeting is singled out as a particular practice with its own linguistic forms on social media platforms. Among the social media users in Cameroon, it is undoubtedly observed that greeting is shared depending on the context, the social background, the space and familiarities of the interlocutors. Each speaker might find himself/herself tending to undertake this practice several times daily or occasionally once in contact with the audience. In this respect, greeting becomes one of the expressive acts mostly used in our daily life to acknowledge the presence of the addressee(s). The present work investigates the speech act of greetings in Cameroon Social Media. It aims at analyzing the most frequent verbal behaviours (greeting) associated with Francophone Cameroonian greetings which occur on Social Media platforms. The method used to elicit data were screenshots of messages on Meta (hereafter Facebook), WhatsApp and Messenger for statistical analysis. The corpus of the study forms a total of 436 both individual and group chats collected between 2020-2022.The results indicate that the type of greeting ‘good morning’ which is under time-bound greeting is the most frequently used form in Cameroon social media.
IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification

Abstract Since the advent of Transformers followed by Vision Transformers (ViTs), enormous success has been achieved by researchers in the field of computer vision and object detection. The difficulty mechanism of splitting images into fixed patches posed a serious challenge in this arena and resulted in loss of useful information at the time of object detection and classification. To overcome the challengers, we propose an innovative Intelligent-based patching mechanism and integrated it seamlessly into the conventional Patch-based ViT framework. The proposed method enables the utilization of patches with flexible sizes to capture and retain essential semantic content from input images and therefore increases the performance compared with conventional methods. Our method was evaluated with three renowned datasets Microsoft Common Objects in Context (MSCOCO-2017), Pascal VOC (Visual Object Classes Challenge) and Cityscapes upon object detection and classification. The experimental results showed promising improvements in specific metrics, particularly in higher confidence thresholds, making it a notable performer in object detection and classification tasks.
Developing Web-Based Process Management with Automatic Code Generation

Automated code generation and process flow management are central to web-based application development today. This database-centric approach targets the form and process management challenges faced by corporate companies. It minimizes the time losses caused by managing hundreds of forms and processes, especially in large companies. Shortening development times, optimizing user interaction, and simplifying the code are critical advantages offered by this methodology. These low-code systems accelerate development, allowing organizations to adapt to the market quickly. This approach simplifies the development process with drag-and-drop features and enables developers to produce more effective solutions with less code. Automatic code generation with flow diagrams allows one to manage inter-page interactions and processes more intuitively. The interactive Process Design Editor developed in this study makes code generation more user-friendly and accessible. The case study results show that a 98.68% improvement in development processes, a 95.84% improvement in test conditions, and a 36.01% improvement in code size were achieved with this system. In conclusion, automated code generation and process flow management represent a significant evolution in web application development processes. This methodology both shortens development times and improves code quality. In the future, the demand for these technologies is expected to increase even more.
The Development of a Secure Online System to Protect Social Networking Platforms from Security Attacks

Due to the rapid advancement of social media, a huge amount of data is generated daily. Due to this great spread and expansion of the data at the social or professional level, the risks of securing the information become a challenging job. In this regard, we conducted an in-depth interview to gather specific information about how infected users may be provided with information about recovering their hacked social networking accounts. Further, we have introduced a complete solution to help social network users to improve the idea of using different applications from one appropriate platform. In order to build this secure platform for accessing the security applications such as bank accounts, etc., we set various security methods to access social network websites, such as sending an OTP to their respective mobile devices, email or by fingerprint. Further, we also added a camera to identify the wrong or fake registration process of an intruder. The camera captures an image of the intruder registering to a social network website using the legitimate user’s information. In addition, the application also has a solution for forgetting the password or security questions that are sent to the user via email. Finally, the application saves the password, which can be recovered when the user forgets it.
Analisis Tingkat Kepuasaan SMK terhadap Pendampingan Politeknik Negeri Bali pada Program Smk Pusat Keunggulan

This research aims to analyze the understanding and concern of environmental accounting for medical waste management at the Plawad Karawang Community Health Center. This research method uses qualitative data collection techniques using observation, interviews and documentation. The results of this research are that the Plawad Community Health Center has an understanding and concern for protecting and maintaining the surrounding environment, by minimizing and preventing the negative impact of the waste produced, whether by managing medical waste or being an example for people who visit the Plawad Community Health Center by providing domestic trash cans. or also called household waste (non-medical waste), and medical waste, as well as B3 waste. Plawad Community Health Center has not fully implemented environmental accounting, but the Community Health Center has incurred costs incurred from operational activities related to environmental maintenance.&#x0D; &#x0D;
Practice of PE Teaching Reform in Colleges and Universities Under the Background of Multimedia Internet

Multimedia network technology refers to multimedia network teaching based on text data communication, which can make better use of sports resources in college physical education teaching. Multimedia technology combines computer and video technology. It refers to the combination of two or more sounds and images to form a system that can transmit information. When the initial key changes slightly, the hash bit change rate of the scheme is greater than the threshold value of 0.451, which shows that the hash algorithm in this paper has good key sensitivity. The more sensitive the perceived hash is to the change of the key, the more difficult it is for the attacker to estimate the key, and the better the security of the hash key. Therefore, the above experiments can prove that the hash algorithm in this paper is safe. The appearance of sports network distance education in this paper provides a broader stage for schools and makes greater contributions to the improvement of the overall physical quality of citizens in the whole society.
DigitalNizam: Shaping the Future of Pakistani Elections through Secure Field-Programmable Gate Array-Based Voting Solutions

This paper represents the ways in which a secure and reliable voting machine could be implemented using hardware descriptive language, which in this case is Verilog. In order to emphasize security, the proposed design is implemented in two ways. The first variant is a basic version comprising some basic safety protocols; however, the subsequent variant is a safer kind of FPGA-based voting machine. Furthermore, concrete illustration is presented using the Vivado and Artix-7-based FPGA Basys-3. Finally, the obtained conclusions seem to be encouraging to a certain extent, as, evidently, the system provides robust and assured voting, along with minimizing latency and power consumption. In addition to this, this design could be utilized as a starting point for the development of superior voting systems utilizing FPGAs in the future.
PSRGAN: Perception-Design-Oriented Image Super Resolution Generative Adversarial Network

Among recent state-of-the-art realistic image super-resolution (SR) intelligent algorithms, generative adversarial networks (GANs) have achieved impressive visual performance. However, there has been the problem of unsatisfactory perception of super-scored pictures with unpleasant artifacts. To address this issue and further improve visual quality, we proposed a perception-design-oriented PSRGAN with double perception turbos for real-world SR. The first-perception turbo in the generator network has a three-level perception structure with different convolution kernel sizes, which can extract multi-scale features from four 14 size sub-images sliced by original LR image. The slice operation expands adversarial samples to four and could alleviate artifacts during GAN training. The extracted features will be eventually concatenated in later 3 × 2 upsampling processes through pixel shuffle to restore SR image with diversified delicate textures. The second-perception turbo in discriminators has cascaded perception turbo blocks (PTBs), which could further perceive multi-scale features at various spatial relationships and promote the generator to restore subtle textures driven by GAN. Compared with recent SR methods (BSRGAN, real-ESRGAN, PDM_SR, SwinIR, LDL, etc.), we conducted an extensive test with a ×4 upscaling factor on various datasets (OST300, 2020track1, RealSR-Canon, RealSR-Nikon, etc.). We conducted a series of experiments that show that our proposed PSRGAN based on generative adversarial networks outperforms current state-of-the-art intelligent algorithms on several evaluation metrics, including NIQE, NRQM and PI. In terms of visualization, PSRGAN generates finer and more natural textures while suppressing unpleasant artifacts and achieves significant improvements in perceptual quality.
The Dynamic Path Planning of Autonomous Vehicles on Icy and Snowy Roads Based on an Improved Artificial Potential Field

The crucial dynamic path planning of autonomous vehicles is achieved via obstacle avoidance path planning technology. The reduction of the tire adhesion coefficient on icy and snowy roads (ISRs) increases the difficulty of autonomous vehicles’ control. In this paper, the driving characteristics of vehicles on ISRs are established, and the artificial potential field function is introduced to avoid collision risk when planning a path. A dynamic path planning algorithm for autonomous vehicles based on the artificial potential field (APF) is established. The adjustment factor is added to the gravitational potential field, and a judgment coefficient is added to the repulsive potential field to improve the artificial potential field function, based on the low adhesion of vehicles on ISRs. Moreover, a path with a continuous curvature is generated to achieve the driving comfort and driving safety of the planned path via trajectory smoothing. By establishing the Carsim/Simulink co-simulation platform, the effectiveness of dynamic path planning for autonomous vehicles under different algorithms and different obstacle models is compared. The results show that the improved APF algorithm has an obvious effect on the smoothness of the path and the reduction of the curvature mutation and can generate a safe and efficient path on icy and snowy roads. The dynamic obstacle avoidance of the improved APF algorithm improves the pre-judgment accuracy of the collision risk assessment of autonomous vehicles and shows the superiority of the improved algorithm.
Penerapan metode running dictation untuk meningkatkan penguasaan kosa kata Bahasa Arab di MI Mambaul Huda

Mufrodat learning is crucial for student understanding. If students comprehend and grasp the meanings of mufrodat within a chapter, it is almost guaranteed that subsequent learning will become more manageable. However, in practice, many students face challenges when learning Arabic due to their incomplete mastery of mufrodat. One of the reasons for this is the suboptimal and often unengaging methods used to teach mufrodat, which can lead to student boredom and hinder their ability to grasp the meanings of mufrodat. The primary aim of this study is to investigate how the application of the running dictation method can enhance the mastery of Arabic language vocabulary among students at MI Mambaul Huda Turen, Malang. This research follows a quantitative approach and employs the pre-experimental One Group Pre-test-Post-test Design method. The selected sample consists of all students in the third-grade class, who make up the experimental group. The data collection instrument used comprises multiple-choice test sheets administered through both pre-tests and post-tests. Based on the results of the Paired Samples Test, it is evident that the two-tailed significance value is 0.000. Since 0.00 is less than 0.05, we can conclude that there exists a significant difference in average scores between pre-test learning outcomes and post-test learning outcomes when using the running dictation method to improve vocabulary mastery (mufrodat) among third-grade students at MI Mambaul Huda Turen, Malang. This research paves the way for future investigations to further develop the running dictation method in Arabic language learning, extending its utility beyond mufrodat to other linguistic skills. Keywords: Improvement of Arabic Vocabulary Mastery, Running Dictation Method
Development of an additional training program for computer science teachers in the context of digital transformation

Introduction . The article is devoted to the problems of development of a training program for computer science teachers in the context of digital transformation of education. Purpose setting . The author of the article aims to identify the current state of professional development programs for teachers. And also, what competencies need to be improved and what tools are needed for this. Methodology and methods of the study. The methodological basis of the research was the formation of digital competence of teachers, which is carried out in the process of passing advanced training programs aimed at improving the knowledge, skills and abilities of computer science teachers. Results . The analysis of information collection is carried out, which shows that the level of digital competence of teachers, the degree of readiness and desire of teachers to use digital tools and services in the educational process suggest the need to develop issues of organizing effective online communication of participants in the educational process. Based on the analysis of the list of relevant digital competencies in the field of education, the author suggests the introduction into the educational process by teachers of the development and design of digital educational resources for the discipline they teach on the platform STEPIK https://stepik.org/. Conclusion . The practical significance of the work lies in the fact that the proposed online platforms can be used in the drafting of additional professional development programs for teachers.