Reviewerly/exHarmony huggingface dataset:
Autonomous planning method for intelligent UAV swarm flight path based on swarm policy

Aiming at the flight path planning problem of intelligent UAVs (swarms), this paper designs a "swarm-type" planning strategy, which improves the distributed spatio-temporal trajectory planning method under special scenarios. According to the spatial distribution of UAVs, the UAV swarm is dynamically divided into a number of groups and isolated UAVs, and a "swarm-type" coordination mechanism is established for UAV trajectory conflicts within each group, and the group planning consists of the improved Efficient Multi-Intelligent Aperture Path Finding (EMAPF) and trajectory co-optimization, which significantly improves the efficiency and safety of the planning. The group planning consists of improved efficient multi-intelligence pathfinding (EMAPF) and joint optimization of trajectories, which significantly improves the planning efficiency and safety.
UAV cluster obstacle avoidance trajectory planning integrating collaborative control design

This paper aims to propose an obstacle avoidance trajectory planning and group collaborative control method for UAV based on intelligent cluster. Based on the RRT obstacle avoidance algorithm, the consistency theory algorithm of group collaborative control strategy is fused, and the coordination and collaboration between UAVs are realized through information exchange and distributed control methods, so as to maintain cluster cooperative flight while avoiding obstacles and complete specific patrol strike tasks. The experimental results show that the algorithm can effectively realize the obstacle avoidance trajectory planning and group collaborative control of UAV, and improve the safety, stability and maneuverability of UAV.
Hardware Study and Implementation of Image Encryption Algorithm Based on a Hyperchaotic Key Generator

Abstract In today's interconnected world, digital data transmissions are an integral part of our communication systems. Connected objects are commonly used in digital life, however, they can be vulnerable to hacking and personal data theft due to inadequate security. To address the size and capability limitations of existing embedded devices, lightweight cryptography has been developed. This paper presents a hardware implementation of a lightweight cryptographic method using VHDL and FPGAs to secure digital information, specifically images. The proposed algorithm is a block cipher scheme that operates on blocks of 128-bit length and employs a key generator-based chaos. The cryptosystem includes a whitening operation, random permutation, and key-dependent Substitution box. The proposed hardware implementation of the algorithm was validated using a Xilinx FPGA-Zynq platform and can secure different gray-scale images while maintaining low power usage, a high frequency of 160.6098 MHz, and high throughput of 11314.917 Mbps. The cryptosystem is shown to be effective against statistical and differential attacks, and key sequences are tested using the NIST SP 800-22 test suite. The algorithm's robustness with respect to Shannon's theory and Chaos is discussed, emphasizing its high level of security and performance.&amp;#xD;
Multi-objective optimal decision making for autonomous driving based on multi-modal predicted trajectories

With the advancement of science and technology, the rapid development of the autonomous driving industry has put forward higher requirements for related algorithms. To improve the reliability and intelligence of autonomous vehicles, it is necessary to have robust and reliable decision-making module, which depends on accurate trajectory prediction. In this paper, research on multi-modal trajectory prediction and decision-making for autonomous driving based on deep learning is carried out. Firstly, a multi-modal trajectory prediction model is constructed based on graph neural network to obtain the predicted trajectories of vehicles around the autonomous vehicle. Based on the prediction results, a decision-making network model of the autonomous vehicle is constructed, and the optimal decision-making results satisfying the multi-objective requirements are obtained by combining the multi-objective optimization method. The experimental results verified the feasibility of the method and its good performance.
Feature selection algorithm for ant colony clustering optimization for target tracking

Aiming at the texture processing and noise disturbance problems of simultaneous localization and mapping algorithm for dynamic scenes under the strong static assumption theory, Improved dynamic object tracking based on ant colony clustering (IACDOT) was proposed. The algorithm combines fractional differential and sparse optical flow algorithm to make full use of the weak texture gradient of the image. A dynamic feature search and selection strategy is designed to obtain ant colony clustering, which reduces motion interference and mismatching of dynamic and static features. The experimental results show that the algorithm not only realizes the adaptive selection of pixel gradient order, but also has a better ability to distinguish dynamic disturbance through the clustering of feature selection. It can effectively distinguish motion and static information while retaining more details of weak gradient feature optical flow. The algorithm has a good application prospect in simultaneous localization and mapping system.
Research on seismic data denoising method based on K-SVD algorithm

In data processing, the removal of random noise is an essential step in order to improve quality. This article presents a detailed study on the removal of random noise in seismic signals, aiming to seek a more efficient and practical denoising method. This paper proposes a seismic data denoising method based on the K-SVD algorithm. By performing sparse decomposition and dictionary learning on seismic signals, the method achieves effective denoising of seismic signals. The results show that this method has a good denoising effect on seismic data.
Penggunaan Media Pop Up Book untuk Meningkatkan Minat Baca Siswa Kelas II SD Negeri Malaka

This research aims to increase interest in reading by using pop up book media in class II students at SD Negeri Malaka. This research is collaborative classroom action research. The subjects of this research were class II students at SD Negeri Malaka for the 2023/2024 academic year, totaling 20 students. The research design used is the Kemmis and Mc model. Taggart. The data collection techniques used in this research are: 1) scale, 2) observation, and 3) documentation. Data analysis techniques use quantitative and qualitative descriptive analysis. The results of the research show that class II students' interest in reading at SD Negeri Malaka can be increased by using pop up book media through the steps of observing pop up book media, listening to and reading poetry, asking and answering questions and directing attention to learning. In pre-action, the percentage of students who had a minimum interest in reading had reached a good predicate of 0%. In the first cycle, the percentage increase in the number of students who had a minimum interest in reading reached a good predicate of 45%. In cycle II, the percentage increase in the number of students who had a minimum interest in reading reached a good predicate of 85%.
Analisis Sikap Percaya Diri Siswa Melalui Kegiatan Menarik dan Menantang Pramuka Pada Kelas II UPTD SDN Gili Timur 2 Bangkalan

The aim of this research is "Describe how trusting is students themselves through the scouting method 'Interesting and challenging activities' on Scout extracurricular node material in class II UPTD SDN Gili Timur 2 Bangkalan”. This research is a qualitative research. The type of research is field study. The population used is alert students. Samples used 1 male standby student and 1 female standby student. Data collection techniques use observation, documentation and interviews. Data validity techniques using Triangulation. The triangulation used is technical triangulation and triangulation source. Triangulation techniques for conducting observations, interviews and documentation. Triangulation of sources using student sources, scout leaders and teachers. Results From data analysis, it states that the attitude of self-confidence that emerges is self-confidence, assertiveness, responsibility and positive thinking.
The effectiveness of digital education: From goals to results

The article talks about digitalization, to which all spheres of human activity, including education, are subordinated nowadays, therefore it is advisable to produce specialists with competencies corresponding to modern realities. In this regard, the possibilities of digitalization of physical education are considered on the example of the Higher School of Physical Culture and Sports of the I. Kant BFU. Since the educational and educative potential of digital technologies has been proven by many researchers, our main task is to test educational technologies in the educational process of training specialists in the field of “Physical culture” and determine what conditions for their implementation should be created within a specific university. The object of the study is the educational process at the Higher School of physical culture and Sports, which trains specialists in the field of “Physical culture”, who will have to teach their students not only theoretical knowledge, but also motor actions. The analysis of the results of the readiness of graduate students showed that the systematic introduction of digital educational technologies into the teaching of disciplines under the training program of the direction “Physical culture” makes it possible to individualize the educational process, expand the forms and space of pedagogical innovations in the educational process and, accordingly, improve the quality of education.
Formation of universal competencies in physical education classes for students of educational institutions of higher education

The article is devoted to the analysis of organization of the educational process for physical education of students in universities, which is obliged to ensure the formation of students with the necessary universal competencies in accordance with the requirements of the Federal State Educational Standard of Higher Education. According to many authors, the existing organization of physical education does not allow students to form those universal competencies that should motivate them to regularly perform physical exercises to maintain a proper level of physical fitness and maintain a healthy lifestyle. The Olympiads conducted by the authors to assess students’ knowledge of the basics of health-improving physical culture and an online survey of students about self-training classes in physical culture showed that the residual level of necessary knowledge among students is low, and most of them are not engaged in physical self-training. In order to improve the current situation in universities, the Scientific and Methodological Council for the Development and Disciplines (Modules) on Physical Culture and Sports of the Ministry of Science and Higher Education of the Russian Federation needs to consider improving the educational process for physical education of students.
Pengaruh Pendidikan Karakter terhadap Hasil Belajar PAI kelas V di SD N 34 VII Koto Sungai Sarik

This research is motivated by the results of research on November 24, 2021 at SD N 34 VII Koto Sungai Sarik. The researcher observed that students' bad character greatly affected students' learning outcomes. The problems identified include absenteeism, lack of attention in lessons, noisy behavior in class, and lack of motivation to do assignments. This study aims to determine the effect of character education on the learning outcomes of fifth grade Islamic religious education at SD N 34 VII Koto Sungai Sarik. The type of research used is quantitative with a correlational approach. The population is all fifth grade students (120 people), with a sample of 30 people selected using random sampling technique. The results of the analysis showed a significant influence between student character and Islamic religious education learning outcomes. The coefficient of determination shows that 50.2681% of student learning outcomes are influenced by student character, while the rest is influenced by other factors. This finding confirms that student character has an important role in learning outcomes, especially in Islamic religious education subjects at SD N 34 VII Koto Sungai Sarik.
Implementasi Aplikasi Toko Creative Card Berbasis Website Menggunakan Metode Waterfall

The development of technology and the internet has triggered a significant transformation in consumer behavior, especially in the context of electronic commerce. This research aims to address growing market needs by developing a web-based online sticker shop application. This application is designed to provide convenience in the process of selling and purchasing stickers, optimize user experience, and increase product accessibility via online platforms. The development method used in this research involves the application of web technologies such as HTML, CSS, JavaScript, and PHP. This approach allows building systems in a structured and organized manner, with a focus on features that support intuitive user interaction. Some of the key features implemented include informative product pages, an efficient shopping cart system, and transaction history to provide transparency and order tracking for consumers. The result of this research is an online sticker shop application that not only makes the sales process easier for sellers, but also provides a comfortable online shopping environment for buyers. It is hoped that this application can increase efficiency in sales management, increase the competitiveness of the sticker business, and make a positive contribution to the growth of the e-commerce industry. As an innovative solution, this application is expected to be able to keep up with market trends and provide a satisfying online shopping experience for users.
Pengaruh Model Pembelajaran Numbered Head Together dan Jigsaw untuk Meningkatkan Hasil Belajar Siswa Mata Pelajaran Ekonomi Kelas X IPS di SMA Negeri 5 Kota Serang

This research aims to determine the effect of the Numbered Head Together (NHT) learning model and the Jigsaw learning model on student learning outcomes in economics class X IPS at SMA Negeri 5 Serang City, as well as to determine the differences using the Numbered Head Together (NHT) learning model and Jigsaw on student learning outcomes in economics subjects for class X IPS at SMA Negeri 5 Serang City. This type of research is a quasi-experimental quantitative research (Quasi experimental design) with a nonequivalent pretest-posttest control group design, the population used for this research data is the entire class X IPS. The samples taken were classes X IPS 1 and X IPS 3. The instruments used were tests (pretest-posttest), interviews and non-tests in the form of documentation. Based on the results of the analysis of the Numbered Head Together (NHT) learning model on learning outcomes with the t test Tcount &lt; Ttable, namely 0.000 &lt; 2.306. So the Numbered Head Together (NHT) learning model influences student learning outcomes. Based on the results of the analysis of the Jigsaw learning model with the t test Tcount &lt; Ttable, namely 0.001 &lt; 2.306. So the Jigsaw learning model influences student learning outcomes. The Numbered Head Together (NHT) and Jigsaw learning models have significant differences in learning outcomes. This can be seen from Tcount &lt; Ttable, namely that the Jigsaw learning model is -2.928 &lt; 2.306 and the learning model is -2.928 &lt; 2.306. So it can be concluded that there is a significant difference in learning outcomes between the Numbered Head Together (NHT) and jigsaw learning models on the learning outcomes of class X IPS students at SMA Negeri 5 Serang City.
Exploring Health Science Students' Experiences of Learning Management Systems: Through the Lens of the Community of Inquiry Framework

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; The digital revolution in education, particularly in higher education, has led to the widespread adoption of online learning platforms like Learning Management Systems (LMS). The Faculty of Health at Universitas Jenderal Achmad Yani Yogyakarta has embraced this trend, employing Moodle for blended learning. However, there has been a lack of formal evaluation of students' experiences with the LMS. This research aims to fill this gap by comprehensively evaluating the user experience and learning experience of students within the Faculty of Health using the Community of Inquiry (CoI) framework. The study collected data from 201 respondents and analyzed their experiences across various CoI domains. Results indicated positive perceptions of teaching presence, social presence, and cognitive presence, with teaching presence scoring the highest. However, social presence remained the lowest aspect, highlighting the need for more personalized engagement on the LMS. While the study identified areas for improvement, it also underscored the LMS's potential in modern learning and its role in enhancing the flexibility of higher education. Further research was recommended to address the study's limitations and continue improving online learning experiences on the LMS.&#x0D; &#x0D; &#x0D; &#x0D;
Efficient similar waveform search using short binary codes obtained through a deep hashing technique

Summary A similar waveform search plays a crucial role in seismology for detecting seismic events, such as small earthquakes and low-frequency events. However, the high computational costs associated with waveform cross-correlation calculations represent bottlenecks during the analysis of long, continuous records obtained from numerous stations. In this study, we developed a deep-learning network to obtain 64-bit hash codes containing information on seismic waveforms. Using this network, we performed a similar waveform search for ∼35 million moving windows developed for the 30 min waveforms recorded continuously at 10 MHz sampling rates using 16 acoustic emission transducers during a laboratory hydraulic fracturing experiment. The sampling points of each channel corresponded to those of the 5.8-year records obtained from typical seismic observations at 100 Hz sampling rates. Of the 35 million windows, we searched for windows with small average Hamming distances among the hash codes of 16 channel waveforms against template hash codes of 6057 events that were catalogued using conventional autoprocessing techniques. The calculation of average Hamming distances is 1430–1530 times faster than that of the corresponding network correlation. This hashing-based template matching enabled the detection of 23,462 additional events. We also demonstrated the feasibility of the hashing-based autocorrelation analysis, where similar event pairs were extracted without templates, by calculating the average Hamming distances for all possible pairs of the ∼35 million windows. This calculation required only 15.5 h under 120 thread parallelisation. This deep hashing approach significantly reduced the required memory compared with locality-sensitive hashing approaches based on random permutations, enabling similar waveform searching on a large-scale dataset.
Give It to Me Straight: Plain Language Summaries and Their Role in Scholarly Journals

Overview Changes in the publishing industry such as open access and online availability of research articles means that research is available to a larger audience than ever before. While traditional journal article elements (e.g., key words, abstracts, summaries, takeaway points) help give context to a paper or emphasize the point the authors are trying to make, they assume a level of expertise with the topic that may no longer be the case for some readers. Although plain language summaries (PLSs) have existed for a long time, they can better appeal to this broader audience because a PLS serves a different purpose altogether. Generally, a PLS is a short summary of a scientific article written in nontechnical language1 that makes the main idea of the paper easier to understand for a nonexpert audience. Scholarly journals tend to cater to a specific professional audience. In general, they are intended for practitioners or researchers who are familiar with the topic of the journal as it relates to their profession. Readers of scholarly journals are assumed to have the basic knowledge required to interpret the articles, despite the use of jargon and complex terminology. For example, a reader of a cancer journal could be assumed to understand the basics of chemotherapy, the current standards of care, common abbreviations, or other technical jargon without those things having to be explained in the article. However, this means that a person whose specialty lies outside the topic of an article, or who has none of the basic […]
Application of the fractional Fourier transform for decryption in experimental optical cryptosystems

Abstract In this contribution, we introduce a new practical approach to apply the fractional Fourier transform in the modelling of two optical systems: free space propagation and a single lens processor. This formulation presents a simple way to stablish a direct relationship between physical parameters of the two optical systems and a real-valued fractional order. Furthermore, we employ and compare two numerical methods for evaluating the fractional Fourier transform: the convolution and the Fresnel transform. Consequently, we apply this innovative approach to the digital decryption process in an opto-digital joint transform correlator cryptosystem, considering both the free space propagation and the single lens processor variants. We analyse both numerically and experimentally encrypted data to support our proposed method and to investigate the sensitivity of the decryption process with the fractional order. Notably, we obtain similar decryption results for both numerically and experimentally encrypted objects, demonstrating excellent agreement between the theoretical model, the numerical test, and the experiment.
The Impact of Social Media on Customer Behavior – Evidence from Lebanon

Purpose: This study investigates the impact of social media advertising on customer behavior; specifically its impact on customer decision-making through social proof, customer perceptions of brands, and customer loyalty. No studies tackled this topic in Lebanon and this gap was the main motive behind this study.
The Effect of Digital Stories Prepared According to Realistic Mathematics Education on Students' Mathematical Achievements, Anxiety And Attitudes

This research was conducted to examine the effects of digital stories prepared according to Realistic Mathematics Education (RME) on the mathematics achievement, anxiety and attitudes of 4th grade students. In the research, a quasi-experimental design with pretest-posttest control group, which is one of the quantitative research designs, was used. The research was carried out with 69 fourth grade students studying in a public primary school in the Tarsus district of Mersin province in the second term of the 2021-2022 academic year. In the experimental group, the teaching was carried out by the researcher using digital stories prepared according to RME, the teaching in one of the control group was carried out by the researcher according to the current curriculum, and the teaching in the other control group was carried out by the classroom teacher according to the current curriculum for 7 weeks. Two-factor ANOVA (mixed ANOVA) was used for mixed measurements in the analysis of the data obtained from the study. As a result of the statistical analyzes, it was determined that digital stories prepared according to RME made a significant difference in the increase of students' academic achievement and mathematics attitudes of students, but did not create a significant difference in mathematics anxiety.