Reviewerly/exHarmony huggingface dataset:
Comparing the Tasks of Two English Textbooks

The purpose of this article is to compare two English textbooks on the tenth-grade level. They were official books published by Goverment of Indonesia (GOI) published in 2014 and 2017. Littlejohn’S framework was applied to analyzing the process. The evaluation covers objective description, subjective analysis and subjective inference. Yet, this article focused on objective description and subjective analysis. The result found that there was significant revision in those books. It could be seen on the analysis result. This research analyzed elevent points- place of the learner’s material in any wider set of materials, published form of the learner’s materials, subdivision of the learner’s materials into sections, subdivision of sections into sub-sections, continuity, route, access, aims, principle of selection, pronciple of sequencing and subject matter and focus on subject matter. Based on elevent analyzing point, five of them was revised by the book author. The revision lied on subdivision on learners' materials, a subdivision of section into subsections, and access-publication section. Furthermore, on the design part, the revision lied on the aims and the objectives of books. In addition, the later book has better design than the previous one. The learning objectives are clearly stated on the preface part and it designed through the understandable task instructions.
Improving Students’ Vocabulary Using Riddles Game A Classroom Action Research

This research was aimed to find out how can riddles game improve students’ vocabulary. This research was conducted through classroom action research (CAR) design. This research used observation and measurement as the technique of data collection. The tools of data collection were observation checklist, field note, and vocabulary test. Then, the analysis strategy used in this research was qualitative analysis to analyze qualitative data and quantitative analysis to analyze quantitative data. The result of this research displayed that the students’ vocabulary mastery improved. Students were more enthusiastic in the learning process. They were more active in following the vocabulary learning process. Then, the mean score and individual score of students also improved. Based on the research findings, it can be concluded that riddles game can improve students’ vocabulary. The teacher can apply riddles game in teaching vocabulary.
Solar Tracker Platform Development for Energy Efficiency Improvement of Photovoltaic Panels

Solar energy systems have emerged over the last decades as the cleanest and most abundant renewable energy resources available worldwide. Solar trackers are devices specially developed to enhance the energy efficiency of solar energy systems. This paper presents the design and implementation stages of a reconfigurable hardware technology-based two-axis solar tracker platform, specially conceived to improve the energy efficiency of photovoltaic (PV) panels. The main module of this platform is the NI-MyRIO ready-to-use development system built upon a high-performance Field Programmable Gate Array (FPGA) processor that controls the entire solar tracker unit. Optimal tracking of the sun movement and obtaining the maximal energy efficiency rate is achieved by simultaneous real-time controlling both the captured sunlight intensity and PV cell temperature magnitudes. In this way, a robust and versatile positioning system has been developed that performs a high precision and accurate tracking pathway. All the control algorithms are implemented there under the LabView graphical programming software toolkit. The final solution boosts in a useful and modularized tracking system that looks useful in a wide range of applications both in industrial and domestic project sites with different power scales.
UPAYA PENINGKATAN KETERAMPILAN TEKNIK DIGITAL SISWA SMK N 1 PAINAN MELALUI PEMBUATAN MEDIA PEMBELAJARAN GERBANG LOGIKA

One of the advantages of Vocational High School (SMK) is that graduates are ready to work. For this reason, students must be equipped with skill abilities in accordance with existing technological developments. In the last few years, the development of digital technology has been very advanced which has caused Vocational High School to be required to prepare their students to adapt to existing developments. SMKN 1 Painan is one of the productive Vocational Schools that develops new study programs namely Audio Video Engineering (TAV), one of the objectives is to prepare students to have the skills to enter employment. The obstacle faced by SMKN 1 Painan is to follow the development of digital technology, especially in terms of facilities, this is because the TAV study program is still new. Through the creation of logic gate learning media, it is expected to help the obstacles faced by SMKN 1 so that the existing problems can be addressed properly
Model car architecture for education in Robotics and Deep Neural Networks

Autonomous driving is a challenging task in which Artificial Intelligence techniques can be success fully applied. This paper describes a robotic platform and its neural network software capable of addressing this problem. AutoMiny is an autonomous model vehicle (scale 1:10) developed at Freie Universität Berlin for educational and research purposes. The vehicle’s architecture supports the development of Advanced Driver Assistance Systems (ADAS) based on Deep Neural Networks using a stereo camera and a Virtual Force Field (VFF) path planner during the learning process.
Towards Learning Better Representations for Completion of Real-World Knowledge Bases

Knowledge bases (KBs) play a fundamental role in compiling human knowledge.They structure 2 open information available at the web over topological and non-topological relations.Despite the 3 success of KBs as core resources on multiple tasks, they usually experience incompleteness and noisy 4 information.To address this issue, several previous works have proposed techniques to predict and 5 infer new relationships from the existing information aiming at improving the completeness of the 6
Penggunaan Algoritma Backpropagation dalam penentuan Lokasi Objek menggunakan Kekuatan Sinyal Wifi

This research was conducted to estimate the location of objects in buildings which are fundamental challenges and indeed there have been many studies on localization in buildings based on signal strength by utilizing devices in it such as Wifi signals. The position of the object to receive signal strength calculated in this paper uses a classification algorithm called Artificial Neural Networks (ANN) or in English known as Artificial Neural Network (ANN) with a type of feed forward network or Backpropagation. The experiments conducted showed that the achievement of the accuracy value of the validation results based on the dataset was around 44.56%.
The Use of Thematic Progression in the Journal Artcile of â€œU-JETâ€

This study aimed to evaluate thematic progressions pattern in studentsâ€™ journal article written by undergraduate students. This study employed qualitative research in the form of written discourse analysis. The documentation observation sheet is used to analyze the patterns apperead in the article written by students. Out of 10 students chosen as the sample. The results of this study revealed that from the three patterns, zigzag pattern is the most frequently used by the students. The second is re-iteration pattern and the last one is multiple theme pattern. It showed that the students can employed the patterns though they never learn about systemic functional linguistics before. But, the results of their writing is not really coherence. Because the lack of thematic progression pattern used. For the consistency, there are several students who already consistent in their writing, though the rest is still not consistent. However, they never learn about this. Therefore, it can be said that understanding the thematic progression is important because it can make the writing effective and coherence.
THE The Use of Music Background in Teaching Reading Comprehension for Negative and Positive Studentsâ€™ Perception

Reading is a kind of activity to transfer the information and to comprehend the writerâ€™s ideas by the learner through the written or the printed words. Learning achievement is not only determined by the one factor such as teaching method, but also it is affected by some learning factors. Besides, learning is affected by psychological factor such as classroom atmosphere.This study used experimental research. It was aimed to comparing the effectiveness of Beta Wave music, acoustic music, no music, as music background when learning English. This study was experimental research by using factorial design, it was 3x2 factorial design and use technique of multi factor analysis of variance (ANNOVA) which helped to understand the effect of two or more independent variables upon a single dependent variable, the independent variables are beta wave music, acoustic music, and no music, and the dependent variable is the studentsâ€™ achievement in reading comprehension of tenth graders of SMAN 4 Kota Cirebon. For moderating variables are positive and negative studentsâ€™ perception toward music background.Mostly, students with positive perception were affected by music background whether acoustic and beta wave music as well as none-music background in learning reading comprehension.While students with negative perception were positively affected even a few students were negatively affected by beta music background when they learn reading comprehension. Because, they thought that the music were annoying, then the students felt uncomfortable. But it was different with students with negative perception in experiment A that used acoustic music background. They were positively affected by acoustic music background.The use of acoustic melodic music was effective in developing studentsâ€™ reading comprehension both of students with positive and negative perception toward. While the use of beta wave music background was effective in developing studentsâ€™ reading comprehension for students with positive perception but it was not effective for students with negative perception.
Attenuator wave energy converters

This chapter is dedicated to attenuator devices.Attenuator WECs lie parallel to the wave direction (i.e., have their principal axis perpendicular to the wavefront) and effectively "ride" the waves.Attenuator devices have the advantage of high-power capture capability, which is conducive to large-scale power generation.The offshore device closest to commercial operation, Pelamis [853], is an attenuator WEC.As one of the most promising WECs, attenuator type devices have been extensively investigated and implemented.As mentioned in the previous chapters (e.g., Chapter 2), the hydrodynamics of WECs are one of the most fundamental problems affecting the performance of the devices.Compared with the other WECs, the hydrodynamics of attenuator devices are more complicated.Attenuator devices are mostly composed of several bodies, therefore the hydrodynamic interactions between multi-bodies should be considered.Moreover, those bodies are connected by joints, i.e., there are constraints between the adjacent bodies, rather than free-floating, making their dynamic motion more complex and difficult for analysis.This chapter gives an introduction to attenuator WECs.The remainder of this chapter is structured as follows: the working principles of attenuator WECs are presented in Section 6.2.An overview of existing attenuator WECs is given in Section 6.3.The modelling methods and the case studies of a two-hinged-float device are given in Section 6.4 to demonstrate the hydrodynamic characteristics of attenuator WECs.Some selected conclusions are drawn in Section 6.5.
Evaluation of a Framework for Robust Image Reversible Watermarking

In the literature, robust reversible watermarking schemes (RWSs) allow the extraction of watermarks after the images have suffered attacks; however, the modified images are compromised. On the other hand, self-recovery schemes will restore the compromised regions of the images, but no secret messages are inserted in these schemes. A framework for robust reversible watermarking with signal restoration capabilities was previously proposed in the literature. This study selects four fragile reversible watermarking techniques and two self-recovery schemes to design different framework configurations. These configurations are evaluated to test the framework’s performance and determine the structure that yields better results in terms of perceptual transparency using a well-known image database as the signal input. It was found that fragile reversible watermarking schemes hold low perceptual distortion, while self-recovery schemes produce high perceptual distortion levels. The inherent characteristics of each algorithm determine, a priori, the behavior of the framework, which is approximated by a proposed equation.
Correction

This article refers to:The Effect of a Health Belief Model-based Educational Intervention on the Determinants of Intention to Influenza Prevention Behaviors among the Older Adults
PEMANTAUAN KASUS PENYEBARAN COVID-19 BERBASIS WEBSITE MENGGUNAKAN FRAMEWORK REACT JS DAN API

The world has been attacked by the pandemic of coronavirus, starts from 2019 until this day, 2022. Coronavirus was detected in Indonesia started from 2020, specifically on March, 2020. The coronavirus or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus which attacks human’s respiratory system. It is also known as COVID-19. The virus may cause mild illnesses of human’s respiratory system, severe lung infections, and even death. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is categorized as the new infectious disease to human. The virus attacks anyone, such as elderly, adult, children, toddler, pregnant women, and breastfeeding mothers. Utilization of information technology that continues to develop can be felt in various fields. Such as the fields of education, government, health, social culture and so on. Information about COVID-19 is always needed by the people of Indonesia, even abroad. Utilization of this website-based technology can help the public in obtaining up to date information. Website application built using React JS framework and API. According to the problems experienced now, a website was created to monitor and provide accessible information to the public regarding the spread of COVID-19 virus cases in Indonesia and the entire world as well. People could approach the website called Covices which was created in programming languages, such as React Js and API.
Evolutionary computation for feature selection and feature construction

tutorial Share on Evolutionary computation for feature selection and feature construction Authors: Bing Xue Victoria University of Wellington, New Zealand Victoria University of Wellington, New ZealandView Profile , Mengjie Zhang Victoria University of Wellington, New Zealand Victoria University of Wellington, New ZealandView Profile Authors Info & Claims GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2022 Pages 1200–1229https://doi.org/10.1145/3520304.3533659Published:19 July 2022Publication History 0citation55DownloadsMetricsTotal Citations0Total Downloads55Last 12 Months55Last 6 weeks15 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Introduction to automated design of scheduling heuristics with genetic programming

tutorial Share on Introduction to automated design of scheduling heuristics with genetic programming Authors: Marko Ðurasević University of Zagreb, Zagreb, Croatia University of Zagreb, Zagreb, CroatiaView Profile , Domagoj Jakobović University of Zagreb, Zagreb, Croatia University of Zagreb, Zagreb, CroatiaView Profile , Yi Mei Victoria University of Wellington, Wellington, New Zealand Victoria University of Wellington, Wellington, New ZealandView Profile , Su Nguyen La Trobe University, Melbourne, Australia La Trobe University, Melbourne, AustraliaView Profile , Mengjie Zhang Victoria University of Wellington, Wellington, New Zealand Victoria University of Wellington, Wellington, New ZealandView Profile Authors Info & Claims GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2022 Pages 1506–1526https://doi.org/10.1145/3520304.3533667Published:19 July 2022Publication History 0citation40DownloadsMetricsTotal Citations0Total Downloads40Last 12 Months40Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
The applicability of reinforcement learning for the automatic generation of state preparation circuits

State preparation is currently the only means to provide input data for quantum algorithm, but finding the shortest possible sequence of gates to prepare a given state is not trivial. We approach this problem using reinforcement learning (RL), first on an agent that is trained to only prepare a single fixed quantum state. Despite the overhead of training a whole network to just produce one single data point, gradient-based backpropagation appears competitive to genetic algorithms in this scenario and single state preparation thus seems a worthwhile task. In a second case we then train a single network to prepare arbitrary quantum states to some degree of success, despite a complete lack of structure in the training data set. In both cases we find that training is severely improved by using QR decomposition to automatically map the agents' outputs to unitary operators to solve the problem of sparse rewards that usually makes this task challenging.
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition

tutorial Share on Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition Authors: Mengjie Zhang Victoria University of Wellington, Wellington, New Zealand Victoria University of Wellington, Wellington, New ZealandView Profile , Stefano Cagnoni University of Parma, Parma, Italy University of Parma, Parma, ItalyView Profile Authors Info & Claims GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2022 Pages 1602–1630https://doi.org/10.1145/3520304.3533636Published:19 July 2022Publication History 0citation24DownloadsMetricsTotal Citations0Total Downloads24Last 12 Months24Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Evolutionary diversity optimization for combinatorial optimization

• Majority of approaches consider diversity in obj. space.
A new method for hiding a secret file in several WAV files depends on circular secret key

The technique of information hiding is very important in achieving security of important and sensitive data, especially those that are transmitted through various digital communication channels because it has robust characteristics that distinguish it from encryption techniques, the most important of which is that it is not perceived by protrusive and hackers, as it is based on the principle of hiding those data inside other digital media as a carrier cover. On the other hand, with the development of hiding techniques, techniques developed to try extracting its hiding to hacking its contents, for this reason and to increase the efficiency of these methods, the encryption and hiding techniques was combined together. The proposed method depends on distributing secret data on several digital audio files of type WAV in random way depends on circular secret key values that is generated in random order that be agreed upon between the sender and the receiver. This technique has achieved high durability, and in the event of suspicion of the existence of secret content within any WAV file, the multiplicity of carrier files and their different length, as well as random distribution of data in them, all these characteristic eliminates the suspicion of any confidential content, as well as complicates the file retrieved process if the suspicion be occurs.
HIGHER EDUCATION DURING LOCKDOWN IN THE FACULTY OF ECONOMICS AND BUSINESS (UB): SOME EXPERIENCES AND REFLECTIONS

HIGHER EDUCATION DURING LOCKDOWN IN THE FACULTY OF ECONOMICS AND BUSINESS (UB): SOME EXPERIENCES AND REFLECTIONS
Unsupervised Depth and Bokeh Learning from Natural Images Using Aperture Rendering Generative Adversarial Networks

Humans can estimate the depth and bokeh effects from a two-dimensional (2D) image on the basis of their experience and knowledge.However, computers have difficulty in doing this because they logically cannot have such experience and expertise.To overcome this limitation, a novel deep generative model called aperture rendering generative adversarial network (AR-GAN) is discussed.AR-GAN makes it possible to control the bokeh effects on the basis of the predicted depth by incorporating an optical constraint of a camera aperture into a GAN.During training, AR-GAN requires only standard 2D images (such as those on the web) and does not require 3D data such as depth and bokeh information.Therefore, it can alleviate the application boundaries that come from the difficulty in collecting 3D data.This technology is expected to enable the exploration of new possibilities in studies on 3D understanding.
RESILIENCE-PROMOTING MESSAGING IN POST-PANDEMIC UNIVERSITY COMMUNICATION

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 436-447ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0126Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
FOSTERING THE DEVELOPMENT OF TEACHERS’ DIGITAL LITERACY WHILST PROMOTING NEW PEDAGOGICAL STRATEGIES: CREATING TANGIBLE EDUCATIONAL RESOURCES

FOSTERING THE DEVELOPMENT OF TEACHERS’ DIGITAL LITERACY WHILST PROMOTING NEW PEDAGOGICAL STRATEGIES: CREATING TANGIBLE EDUCATIONAL RESOURCES
BELIEFS ABOUT SCHOOL: MULTIPLE PERSPECTIVES

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 10363-10368ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.2513Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
MOBILE LEARNING RESEARCH AT RCAAP: A LITERATURE REVIEW BASED ON THE APPLICATION OF THE MAECC® META-MODEL

MOBILE LEARNING RESEARCH AT RCAAP: A LITERATURE REVIEW BASED ON THE APPLICATION OF THE MAECC® META-MODEL
IDENTIFYING INSTITUTIONAL FACTORS WHICH ENABLE TEACHER DIGITAL COMPETENCE DEVELOPMENT IN HIGHER EDUCATION: AN INSTITUTIONAL CULTURE ANALYSIS

IDENTIFYING INSTITUTIONAL FACTORS WHICH ENABLE TEACHER DIGITAL COMPETENCE DEVELOPMENT IN HIGHER EDUCATION: AN INSTITUTIONAL CULTURE ANALYSIS
SATISFACTION WITH REMOTE TEACHING AND THE RETURN TO IN-PERSON TEACHING: PERCEPTION OF HIGHER EDUCATION STUDENTS

SATISFACTION WITH REMOTE TEACHING AND THE RETURN TO IN-PERSON TEACHING: PERCEPTION OF HIGHER EDUCATION STUDENTS