Reviewerly/exHarmony huggingface dataset:
GOOGLE DIGITAL TOOLS AS A MEANS OF IMPROVING THE EDUCATIONAL PROCESS AT HIGHER EDUCATION INSTITUTIONS

The features of digital tools and educational platforms are considered. It is noted that the Google Workspace for Education package has all the necessary functionality for the implementation of distance learning in full. The use of Digital Tools Google in the educational process at Lutsk National Technical University has been analyzed in accordance with the ranking method. It was determined that teachers most often use Google Drive to store information in cloud storage and co-edit documents (84 % of respondents), and Google Meet – to organize lectures remotely (72 % of respondents). Most teachers consider it possible to transfer lectures and consultations to a remote format, but it is advisable to conduct practical classes in a classroom layout, which involves face-to-face communication between teachers and students and the use of university educational equipment.&#x0D; A functional scheme of organization of training with the help of digital tools Google has been suggested. Its use is recommended both for personal purpose in the design of the discipline, and for conducting trainings for improving teaching skills. Digital applications for organizing the educational process, preparing educational material, conducting lectures, practical classes and evaluating academic achievements have been specified. The final stage is reflection, as a result of which the teacher makes changes to the organization and content of the educational process as for certain discipline, and the student can adjust the personal level of knowledge and skills.&#x0D; A SWOT analysis of the use of digital technologies in higher education institutions was carried out (on the example of Lutsk National Technical University). The number of identified strength indicators according to the outlined criteria is much greater, which is a sign of the viability and prospects of digital technologies in the implementation of the educational process in the surroundings of today’s challenges. The weak side is the lag in the digital competence of teachers from the rapid development of digital technologies. The main threats in the present and future are related, in our opinion, to two factors. The first is financial, since insufficient state funding of educational institutions significantly complicates the widespread use of licensed software products. The second factor is internal, personal, due to the low motivation of teachers (especially older ones) to develop and improve e-teaching skills.
Multiprotocol quantum key distribution receiver for free space

Quantum Key Distribution (QKD), a technology for growing mathematically secure key encryption keys, is now on the verge of becoming widely commercially available. Due to lack of standardization, multiprotocol QKD receivers are particularly beneficial for satellite QKD, so that an optical ground station is not limited to a sub-set of satellites. Moreover, if both transmitter and receiver can operate with different protocols, they will be able to actively adapt to specific conditions by choosing the most suitable protocol. In this work, we present the design and performance of a multiprotocol reconfigurable free-space QKD receiver. The reconfigurability relies on polarization-based optical routing, which can also be used to optimize the performance of time-bin QKD protocols.
Web Defenselessness Recognition Against Case of Cross Site Demand Fake

To use machine learning to discover web application security issues (ML). Web applications are notoriously difficult to analyses due to their variety and bespoke construction. Machine learning protects websites and other digital assets. It uses human-labeled data to deliver automated analytical tools with web-programming semantics. We introduce Mitch as the black box ML solution for detecting Cross-Site Request Forgery (CSRF). With Mitch’s help, we discovered 35 new CSRFs across 20 major websites and 3 new CSRFs in live production applications. In the end, working code will be utilized to prove Mitch’s worth.
Devising an approach to analyze the parameters for determining potential premodified firmware of USB devices

This paper reports the results of experiments and studies involving different types of devices that can implement a BadUSB scenario, for example, BadUSB, Rubber Ducky, which, when connected to a computer, impersonate a device with a Human Interface Device, emulating other devices such as a keyboard and mouse. Given the problem of the lack of management tools for detecting preliminary modifications of USB devices against attacks based on the seizure of computer control, a software and hardware system is proposed as an object of study. It is implemented programmatically in the Arduino IDE environment, and physically it is made on the Arduino Mega board with Shield, which reads the parameters of the devices. It monitors the startup of USB devices and checks each device for pre-retrofitting by passing HID descriptors from the connected hardware. Having parsed the data using Python, the data are represented in the appropriate form for analysis, on the basis of which a decision is made by the system on the possible preliminary modification of the USB drive from which these data came. This is due to the detailed consideration and thorough analysis of data, data types, temporal characteristics of data transmitted along different channels. The technical characteristics and functionality of USB devices were investigated; the parameters transmitted at the moment when they are supplied with power were determined. The system can draw a conclusion based on the analysis according to its algorithm and block a suspicious USB device that has been connected and that can intercept control over the computer. The results of the study could be used in the field of protection of information systems from attacks based on the seizure of control from external media. The designed solution increases the level of security of the system, making it possible to recognize a possibly pre-modified device at the connection stage
CONSTRUCTING MILLENIAL STUDENT DISCIPLINE CHARACTER THROUGH AWARDING REWARD-STICKER

This research aims to analyze data related to the implementation of giving sticker rewards in shaping students' disciplinary character. The research approach uses a qualitative type of case study. Data collection using observation techniques, interviews, and documentation. Data analysis techniques in this study consisted of data condensation, data presentation, then the stages of conclusion. The results of this study are 1) giving rewards in shaping the character of student discipline through the distribution of stickers which are very important in motivating students to take positive actions; 2) The steps for giving reward stickers start with preparing learning materials, conveying material to students, observing students' attitudes, the lastly giving reward stickers to students who have done good performance; 3) Factors supporting the success of this program are good motivation from teachers, self-awareness in students, libraries, places of worship, and proportionate classes. While the inhibiting factors are the playing environment and colleagues.
Students’ Perception of the Implementation on Total Physical Response (TPR) in English Teaching

This study aims to determine students' perceptions of the application of the total physical response (TPR) method in foreign language lessons in the classroom. The participants of this study focused on students in one of Islamic Junior High School in Poleang. Vocabulary is a major problem for students in learning English. This study uses a qualitative research. The main reason for descriptive research in qualitative research begins with the question 'how' or 'what'. Qualitative research aims to explain the phenomenon profusely through deep data collection. This study offers some important insights into a number of aspects of theoretical and pedagogical benefits. The findings of this study can be used as a reference for those who conduct research on students' perceptions in the application of the total physical response (TPR) method in learning foreign languages in the classroom. The application of the TPR method in learning English in the classroom makes the class more fun, interesting, and provides new experiences for students. While the benefits of applying the TPR method in the classroom learning process include making students easy to understand the material, encouraging student motivation, encouraging student enthusiasm, making students more interested and active in participating in the learning process.
Quantifying the Amount of Energy Harvest

Investors, consumers, and even suppliers are worried about PV technology. Few studies have estimated solar insolation annually. When building a PV system, it’s important to determine the quantity of accessible sunlight. Sun radiation is measured by solar radiance and insolation. Solar radiance is measured in kW/m2. Solar radiance ranges from 0 to 1 kW/m2 throughout the day. Location and weather affect solar brightness. Daily global and/or direct radiation measurements determine sun radiance, pyranometers, and/or pyrheliometers monitor global radiation (measuring direct radiation). This information comes from well-established sources accumulated over two decades. Solar insolation is more typically employed in system design than solar irradiance. Sun insolation is the total solar energy received at a particular place during a certain period (kW/m2 /day). Solar insolation and solar irradiance both measure power density (for solar insolation, “hours” in the numerator and “day” in the denominator are time measurements), but solar insolation is instantaneous solar irradiance averaged over a particular period. Solar insolation data are utilized for basic PV system design, whereas solar radiance data are used for sophisticated PV system performance calculations. Solar insolation may be represented in several units than MJ/m2/year.
Android-Based Elementary Linear Algebra Learning Media

&lt;span&gt;This research is driven by the importance of android-based learning media in Elementary Linear Algebra learning, namely facilitating student understanding in understanding the existing material, because students do not understand the learning conveyed by the lecturer and the time is short, this can reduce student interest and have difficulty in understand the material. This study uses the Research and Development method using the Luther Sutopo model. The product was tested using Aiken's "V" formula for validity testing, Moment kappa formula for practicality testing and Gain Score formula for effectiveness testing. Based on the three tests, it was found that the product was valid with a value of 0.79, practical with a value of 1 and effective with a value of 0.85. This product can make it easier for students to repeat the material that has been conveyed by the lecturer in class so that students can understand the material well.&lt;/span&gt;
Efficient Face Detection for Distinct Multimedia Using Object-Oriented Programming

In this paper, face detection for multiple surveillance, and tracking has been proposed. This object-oriented programming has been used for data collection and other research fields. Software is designed to work with any computational device with a webcam and with python. With further development, it can also be used to fix recording as the camera can be automatically triggered to turn on and record the video until the person is visible. The proposed scheme has been verified using the Haar Cascade classifier and OpenCV platform. The different face detection platform for videos and cameras has been used to perform multiple tasks.
A Novel Hybrid GWO-FA to Locate Unknown Node in 2D Environment

Grey wolf optimizer (GWO) is a meta-heuristic algorithm adopted by grey wolf leadership theory and hunting swarm intelligence algorithm. Besides that, three basic hunting trials are used seeking prey encircling pray and attacking prey as a result, that GWO has attracted a large research involvement from a variety of areas in a less period. The existing GWO devotes half of its iteration to exploration and another half to exploitation ignoring the importance of finding the accurate balance among the two to ensure correct estimation of the optimum solution. To address this problem a 2D based optimization of gray wolf using the Firefly algorithm (GWO-FA) is introduced to overcome this problem and obtain to exact location. The GWO-FA algorithm and other meta-heuristics are used in this study to examine the 2D locations in an anisotropy atmosphere utilizing a different approach of placing the virtual anchors with parasol projection across the moving targeted nodes. In compared to certain known algorithms, simulations results show that this approach can deliver successful outcomes. The finding of the node localization challenge shows that the suggested approach is efficient in tracking actual situation involving uncertain solution space.
Alphabet Recognition of Sign Language Using Machine Learning

People with speech and hearing impairments can communicate through sign (gesture) languages. One of the major issues that our society is dealing with is the difficulty that people with disabilities have in sharing their feelings with normal people. People with disabilities account for roughly 15% of the global population. People who do not have a disability are either unwilling or unable to learn it. This communication gap is a major hindrance to growth and advancement of people having speech and hearing impairments as well as a challenge for our society. The main goal of this project is to break down barriers to communication between people with disabilities and the rest of society. This project aims to design a model which can recognize sign language alphabets (hand gestures) and convert it into text and sound using a machine learning approach. The performance of this method is evaluated on publicly available sign language dataset. In our project, which is based on Convolution Neural Networks, we used the Inception V3 deep learning model for image classification. Hand gestures are captured as images by the webcams in this project, and the defined model aids in the recognition of the corresponding alphabet for hand gestures. We have tried to overcome the existing limitations in Sign Language Recognition and to increase efficiency.
Deep Learning in Computer Aided Pop Music Creation System

The impact of safety accidents is very serious, which will not only cause the loss of economic benefits of the project, but also harm the life safety of participants in the building site, and at the same time affect the image of construction-related enterprises and the growth of the industry.BIM as a global and digital technology, is regarded as a revolution in the building industry, which can effectively improve the building efficiency and quality.In this article, a risk assessment model of prefabricated buildings based on artificial neural network (ANN) and BIM is proposed, which can provide early warning and assessment of construction risks, so as to build a safe construction environment and provide theoretical and technical support for the design and construction of prefabricated buildings.The results show that, after many iterations, the accuracy of this method is 97.94%, which is 18.66% higher than that of particle swarm optimization (PSO), and the error is reduced by 33.75%.This algorithm solves the difficulties that traditional models are difficult to deal with highly nonlinear models and lack of adaptive ability.A reasonable safety assessment system can help constructors understand the safety management problems faced in the construction of prefabricated buildings and make accurate judgments.
THE USE OF WATERPASS FOR STUDENT OF MODELLING DESIGN AND BUILDING INFORMATION (MDBI) DEPARTMENT AT SMKN 1 BANAMA TINGGANG, PANGI VILLAGE, REGENCY OF PULANG PISAU, PROVINCE OF CENTRAL KALIMANTAN

SMKN 1 Banama Tingang is a vocational school located on 3 Padat Karya St, Pangi Village, Regency of Pulang Pisau. This school has three departments namely Welding Technology Department, Building Technology Department, and Accounting Department. Welding Technology Department is a department with the least number of students in the school which reflected the low interest in this department. One of reasons for that is due to misperception that this department is for construction worker. Another reason is due to lack of facilities for practice such as water pass. Therefore, one of solutions is to conduct the training for the use of water pass to measure land. During the training it can be seen that the interest in this department is increasing. Many questions were asked by students on how to use water pass. In the training, students were divided into several groups to match the number of water pass brought in this training. Students of PTB were actively involved to assist in the training. The training results showed that the interest of the student had increased, not only students from Building Department, but also from another departments. This indicates that the training was useful especially for the students of the school as well as PTB students involved in the training.
The Influence Of Teachers' Media Literacy Proficiency On Strengthening Character Education In Aisyiyah Kindergarten

This study was conducted with the aim of knowing the effect of teacher media literacy skills on strengthening character education in Aisyiyah Kindergarten in Makassar City. The population in this study were teachers of Aisyiyah Kindergarten in Makassar, amounting to 135 teachers spread from 47 Aisyiyah Kindergarten and in obtaining research samples using purposive random sampling technique which previously obtained a number of samples using the Slovin formula as many as 57 teachers. The data collection technique was obtained by using a like-art scale questionnaire whose instrument development procedures included validity testing using a gregory testing model and construct validity using confirmatory factor analysis (CFA) and reliability testing using the Cronbach alpha formula which resulted in a reliability coefficient value of 0.98 for the teacher's digital literacy skill instrument and a reinforcement value of 0.97 for the instrument's instrument character. The data collected were analyzed using inferential statistics, namely simple regression analysis. The results of the study revealed that water had a positive and significant effect on teacher media literacy skills on strengthening character education in Aisyiyah Kindergarten in Makassar CityKeyword : Teachers; Media literacy skills; Character education
Using Mobile Phone Based Tasks to Improve Jordanian Grade 7 EFL Students’ Composition Writing Skills

This study investigated the effectiveness of using mobile phone based tasks to improve the FL composition writing skills of 52 Jordanian grade 7 students. They were divided into two groups; control and experimental groups. The control group included 24 students, while the experimental group included 28 students. Data were collected through a pre-test and a post-test of FL composition writing. The mixed method of quantitative and qualitative analysis was used. Data were analyzed using the Paired-Samples T-Test. In addition, the use of the independent samples T-Test aimed to determine the statistical significance of the two tested groups’ performance in FL composition writing. The findings affirmed the effectiveness of using mobile phones in improving the FL composition writing skills of Jordanian grade 7 students.
Noise Removal in Traffic Sign Detection Systems

The application of Traffic sign detection and recognition is growing in traffic assistant driving systems and automatic driving systems. It helps drivers and automatic driving systems to detect and recognize the traffic signs effectively. However, it is found that it may be difficult for these systems to work in challenging environments like rain, haze, hue, etc. To help the detection systems to have better performance in challenging conditions like rain and haze, we propose the use of a deep learning technique based on a Convolutional Neural Network to process visual data. The processed data could be used in the detection. We are using the NoiseNet model [11], a noise reduction network for our architecture. The model is trained to enhance images in patches instead of as a whole. The training is done using the Challenging Unreal and Real Environment - Traffic Sign Detection Dataset(CURE-TSD) which contains videos of different roads in various challenging situations. The enhanced images obtained are compared using the object detection algorithms YOLO and Faster RCNN. The Mean Absolute Error(MAE) of original and enhanced images are calculated and compared for two classes of images - rain and haze for both the algorithms. The proposed approach achieved an average Peak Signal to Noise Ration(PSNR) of 25.30 and an Structural Similarity(SSIM) of 0.88. The average MAE values of YOLO and Faster RCNN model reduced by 0.11 and 0.30 respectively on using enhanced images.
KURIKULUM MERDEKA REIMAGINED: ADOPTING STORY SCIENCE FOR ENGLISH LITERACY LEARNING IN INDONESIAN MIDDLE SCHOOL

In 2018 the Program for International Students Assessment (PISA) result indicates that Indonesia is at a very low literacy level (ranked 71st out of 77th countries). Furthermore, there is a declining trend (64 points) in 10 years in terms of the English Proficiency Index (EPI) as recorded by English First (EF). This fact, however, does not encourage us to move away from using the traditional pedagogy that is oriented toward the memorization of grammar and vocabulary. Recent research conducted by Sudimantara (2021) shows that there is a new alternative to teaching English academic writing without relying on grammar and vocabulary. In this study, Sudimantara (2021) develops a new pedagogy (multisensorial load reduction strategies) that activates the nonverbal components of language (rhythm, intonation, movement, emotion, and aesthetics), which are first processed in the right hemisphere, as the foundation of grammatical processing in the left hemisphere of the brain. This research, in fact, has generated a surprising result where the experimental group has made a highly significant learning improvement. Fletcher (2021) notes that humans do not only thinks in story but also recalls and reconstruct events in their memory in the form of story. The study was undertaken within a qualitative Research and Development framework. All research steps (Research and Information Collecting, Planning, Develop Preliminary Form of Product, and Evaluation) were completed. The result shows that this new digital literacy resource is applicable in the current curriculum context with some expected future improvement. This study is expected to generate more research on the development of brain-compatible digital literacy resources.