Reviewerly/exHarmony huggingface dataset:
New Approach to Partial Cryptography Using 2D Wavelet Transform

Computer security has to re-invent itself. New technologies and new applications bring new threats. Especially with the increasing growth of data a communication cryptography and data security are an essential requirements for communication privacy. This paper present a new approach that combines between two technical partial cryptography and 2D wavelet transform. The process consists of two stages: First stage is to compress the image to reach LL2 and LL3. Second stage is to pass the resulting image after compression process to encryption process that uses image that has strong randomness used as a key. The result of this approach is good and helps in solving the problem of keeping image privacy.Key word: Image Compression, Wavelet, Random Key Generated, Partial Cryptography.
ANALISIS REGRESI LOGISTIK ORDINAL MENGENAI FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENDIKAN ANAK DI DESA SAYANG-SAYANG

The economic condition of the parents and their level of education are the determining factors for the level of education of the children. The purpose of this study was to analyze the factors affecting the level of education of children (socioeconomic status of parents and parents' latest education). The subjects in this study were 100 people of Sayang-Sayang Village who were determined by simple random sampling technique. Data collection was carried out online using a survey sheet or questionnaire developed with the help of Google Form. The method in analyzing this causal relationship uses ordinal logistic regression analysis. The results showed that the ordinal logistic regression analysis provided two logit models, in which socioeconomic status had a significant effect on the child's education level, while the parents' last education level did not have a significant effect on the child's education level. The first logit model is a logit model that explains the causal relationship between socioeconomic status and the last level of education of high-category children, while the second model is for the middle category level. Research is expected to be one of the references both in the use of ordinal logistic regression and in observing the factors that affect the level of children's education.
Traffic Light Automation with Camera Tracker and Microphone to Recognize Ambulance Using the HAAR Cascade Classifier Method

Lack of knowledge by road users regarding these priorities, especially when there is a passing ambulance that is often stuck in traffic at a crossroads due to accumulated vehicles and the traffic light is still red. The purpose of this paper is to simulate traffic light automation by giving a green light every time an ambulance passes by using the HAAR and Computer Vision methods. The HAAR method is used for training data from less sharp images as part of the Ambulance object classification process. The Computer Vision method is used as a tool in image processing objects to processing the image captured by the Camera. Hardware through the microphone performs pattern recognition to pick up ambulance sirens. The test result at the average frequency caught by the microphone is 1.3 kHz. The test results of the System to capture ambulance objects received a precision value of 75%, a recall of 100%, and an accuracy of 75%.
Annotating factuality in the TAGFACT corpus

The author of a text states, either implicitly or explicitly, his/her commitment with respect to the certainty of the situation being narrated (i.e. its factual status according to the author’s stance). In the area of corpus linguistics and natural language processing (NLP), the annotation of factuality has experimented a growing interest since it simplifies complex processes such as information retrieval or fact checking. This article describes the labels used for the annotation scheme of the corpus TAGFACT. It presents some innovative aspects such as the labelling of situations according to their dynamic or non-dynamic nature. Non-dynamic situations are further classified as states, absolute truths and properties of an eventive nature. Even though this scheme has been created for the annotation of a Spanish corpus, it is applicable to many other languages.
Tantangan Penerapan Sistem Belajar Online Bagi Siswa SLB Negeri 1 Bangli Ditengah Pandemik COVID-19

The Covid-19 pandemic that hit Indonesia has an impact on policy in changing the creative, adaptive, and innovative teaching learning process. In preventing the spread of the covid-19 virus, the Indonesian government temporarily closed schools and colleges. School management conducts health protocols without tigating the teaching learning process between students and teachers. One of the activities carried out in SLB Negeri 1 Bangli is to do online or online classes using various applications such as zoom, jitsi and E-learning as well as home visit to know the condition of students / children with special needs. This research method is done by qualitative method. The data was obtained by conducting a survey of 20 students of SLB Negeri 1 Bangli online as well as home visite. The purpose of this research is to get information about the problems and obstacles that students face when conducting the online learning process. This research is expected to provide input for outstanding educational institutions in managing and providing policies during the Covid-19 pandemic.
Professional formation of a teacher in monitoring research

The professional and pedagogical characteristics of the professional development of a teacher include, first of all, the level of professional-theoretical, as well as methodical and practical training of the teacher. The pedagogical orientation of the individual is manifested in the nature of solving this task. The pedagogical orientation of the teacher means, first of all, his interest in pedagogical activity and ability to be engaged in it. Orientation includes goals, motives and emotional attitude to activities (love, pleasure and other needs). Achieving high skill in teaching and educating individuals largely depends on the personal qualities of the teacher. And first of all from his pedagogical abilities. The activity of a teacher, as a form of expressing a person's active attitude to the surrounding reality, is concentrated in the field of involving the younger generation in the accumulation of social experience. Lack of purposeful education can lead to both intellectual and moral degradation of new generations. A specialist in the field of education is entrusted with social responsibility for the consequences of his work. The general purpose of the teacher - the formation of key competencies of the individual in the learning process. From a psychological point of view, a goal is a result of a person's predicted activity with a certain object. The result of the activity demonstrates the changes that occur with the object during human interaction with it. The issue of key competencies is being debated around the world today. This problem is especially relevant now in connection with the modernization of Ukrainian education.
INTELLIGENT METHOD OF KNOWLEDGE EXTRACTION BASED ON SENTIMENT ANALYSIS

The paper explores the impact of age and gender in sentiment analysis, as this data can helpe-commerce retailers increase sales by targeting specific demographic groups. The data set usedwas created by collecting book reviews. A questionnaire was created containing questions aboutpreferences in books, as well as age groups and gender information. The article analyzes segmenteddata on the subject of moods depending on each age group and gender. Sentiment analysiswas performed using various machine learning (ML) approaches, including maximum entropy,support vector method, convolutional neural network, and long short-term memory. This paperinvestigates the impact of age and gender in sentiment analysis, because this data can helpe-commerce retailers to increase sales by targeting specific demographic groups, as well as increasethe satisfaction of the needs of people of different age and gender groups. The dataset usedis generated by collecting book reviews. A questionnaire was created containing questions aboutpreferences in books (user opinions of e-books, paperbacks, hardbacks, images and audiobooks),as well as data on age group and gender. In addition, the questionnaire also contains informationon a positive or negative opinion regarding preferences, which served as the basis for reliabilityfor the classifiers. As a result, 900 questionnaires were received, which were divided into groupsaccording to gender and age. Each specific group of data was divided into training and test one.Segmented data were analyzed for sentiment analysis depending on age group and gender.The age group “over 50 years old” showed the best results in comparison with all other agegroups in all classifiers; data in the female group performed higher accuracy compared to data fromthe groups without gender information. The high scores shown by these groups indicate that sentimentanalysis approaches are able to predict moods in these groups better than in others. Sentimentanalysis was performed using a variety of machine learning (ML) approaches, including maximumentropy, support vector machines, convolutional neural networks, and long short term memory.
Measuring the quality of boson samplers in the sparse regime

We show a method for assessing the quality of photonic quantum interference (boson sampling) in the regime of fewer samples than outcomes. We present an error budget for a state of the art boson sampler.
The Use of Digital Visualization Tools to Form Mathematical Competence of Students

The advantages of digital visualization to form mathematical competence of students are exploded in the article. Using a test experiment the problematic field of using the digital visualization tools in process of teaching higher mathematics was identified. Possibilities of involvement of digital visualization tools for conduct mathematical experiment using dynamic geometry environments (DGEs) GeoGebra and advanced graphing calculator Desmos in the study of the fields of “Projective geometry and methods of image”, “Mathematicsanalysis”, “Analytical geometry”.
THE FORMATION OF STDENTS’ CHRONOLOGICAL COMPETENCE AT THE LESSONS DURING STUDYING THE HISTORY OF UKRAINE

The article is dedicated to research competencyoriented methods of teaching history at school and development of methodological recommendations for study the chronology at history lessons as a form of formation chronological competence. To solve outline problems there were applied methods of analysis and generalization historical and pedagogical literature, regulatory documents, structural and logical analysis. Based on the study of theoretical and practical aspects – modern education at school is based on the competency – oriented training, where the main role are the competences which form in the process of learning. Among the most important subject competences there is chronological, which helps pupils to navigate in the time space. The aim of subject competence depends on skills formation, that would help to solve problems, analyze and act according to pupils’ skills satisfying their social needs. Having well-developed subject competence, pupils can apply them in educational activities and in everyday life. Learning chronological competence should happen gradually using different working methods starting from the simplest and finishing with difficult tasks. For the effective teacher’s work with students at the history lessons, there were installed priority tasks for each age category. On the basis of the conducted researches there were formed stages of molding chronological competences. There were exercises that appropriate their using for successful completion of the object. The presented exercises in this article will contribute to the formation of chronological competency at the history lessons. These exercises will help pupils to understand and logically distribute events in history, establish a cause and effect chain. This means, that pupils won’t study a specific date, but they’ll be able to understand what was happening at that time. Finally, the formation process of chronological student’s competence at the history lessons are not fully explored. So, further, we look forward to a deeper analysis of the problem. Keywords: chronological competence, history lessons / events, subject competences, historical tasks.
AN IMPROVED NOVEL MODEL APRIORI WITH SEQUENTIAL PATTERN MINING FRAMEWORK FOR FREQUENT ITEMSET MINING IN DATA MINING

Data Mining is an analytic process designed for search of exact patterns and/or proper relationship between variables to scrutinize data and then to approve the exploration with the help of detected patterns and to new subsets of data. Frequent pattern mining is most easily explained by introducing marketbasketanalysis (or affinity analysis),characteristic practice for which it is familiar .In this paper, an efficient hybrid algorithm was designed using a unifying process of the algorithms Improved Apriori and SPMF ECLAT. Results indicate that the proposed algorithm faster execution time and generate frequent rules with different- different support count.
Keynote Lecture: Building Knowledge For AI AgentsWith Reinforcement Learning

Reinforcement learning allows autonomous agents to learn how to act in a stochastic, unknown environment, with which they can interact. Deep reinforcement learning, in particular, has achieved great success in well-defined application domains, such as Go or chess, in which an agent has to learn how to act and there is a clear success criterion. In this talk, I will focus on the potential role of reinforcement learning as a tool for building knowledge representations in AI agents whose goal is to perform continual learning. I will examine a key concept in reinforcement learning, the value function, and discuss its generalization to support various forms of predictive knowledge. I will also discuss the role of temporally extended actions, and their associated predictive models, in learning procedural knowledge. In order to tame the possible complexity of learning knowledge representations, reinforcement learning agents can use the concepts of intents (ie intended consequences of courses of actions) and affordances (which capture knowlege about where actions can be applied). Finally, I will discuss the challenge of how to evaluate reinforcement learning agents whose goal is not just to control their environment, but also to build knowledge about their world.
A Study to Assess the Effect of Video-Assisted Teaching on Knowledge and Attitude Regarding Prevention of Head Injury among Young Adults in Selected Colleges of Guwahati, Assam

following head injury vary from 10 to 36/100,000 populations, accounting for up to 70,000 deaths/year in the United States.][4] As many as, two-thirds of all motor vehicle accident victims sustain some head injury.Brain injury is the most common cause of death in trauma victims accounting for about half of deaths at the accident site.The injuries are generally blunt and motor vehicle accidents are most frequent.] Among traumatic brain injury (TBI), the most common form is mild TBI (mTBI).A head injury occurs every 15 s and a patient dies from head injury every 12 min, a day does not pass that an emergency physician is not confronted with a head-injured patient. [2,3,8]
Приемы доказательной аргументации оценки компетенций

The article presents a new look at the problem of assessing students' competencies. The section Introduction describes the problems of ensuring the reliability of the of assessing competencies that currently exist in the vocational education system. The distinctive features of competencies that must be taken into account when developing and using assessment tools to identify their development are shown. It is noted that the difficulties of the assessment process are primarily due to the complex structure and deep latency of competencies. In the section Theoretical substantiation, based on the research of a number of foreign authors, the novelty of the method of designing assessment tools and processes based on the principle of evidence-based argumentation for obtaining factual data on learning outcomes is shown. The conceptual basis of evidence-based argumentation using the Evidence-based Assessment method is based on the sequential development of a number of assessment models: construct, assignment, assembly, statistical processing of and their interpretation. An important condition for the manifestation of competencies is the planned activity of the subjects in the assessment situation. In the section Discussion of the results it is noted that in domestic education the models of evidence-based comprehensive assessment of students' competencies, which ensure high reliability and validity of the results, have not yet found wide application. The approach proposed in the article can be useful for teachers of the higher education system when planning the of mastering educational programs and using scientifically based methods for constructing means of assessing the cognitive and competence achievements of students. In the conclusion, the conclusion is formulated that the proposed method of using models of evidence-based argumentation can contribute to the further development of control and assessment activities to reduce errors in the assessment and obtain data that contribute to improving the quality of training in a competence-based approach.
The wee country that roared : supporting Open Access in Scotland through institutional repositories

The 2019 CWTS Leiden statistics show 3 Scottish institutions in the Top 10 and 4 in the top 15 in Open Access. This presentation will focus on brief case studies of Scottish institutions and the growth of their institutional repository services as a demonstration of a wider national commitment to Open Access. It will also highlight Scotland’s Open Access journey from 2004 to today through the experience and expertise of these institutions and the support of the Scottish Confederation of University and Research Libraries (SCURL). This journey will include the conditions of their local environments, key drivers and a mix of approaches for success, choice of platform(s) and the challenges, at an institutional level in embedding open repositories. These case studies taken together will demonstrate the drive to ensure Scotland’s research is “Open for All” and further enable the global impact for research undertaken in Scottish institutions.
The Formation of Teachers’ Media Competencies as a Problem of Modern Pedagogy

In the 21st century, modern society learns and lives with new rules and laws. They are dictated by the surrounding reality. If education is cut off from modern life, then it can not be of interest to the pupils, which would make it ineffective. The introduction of information technologies is one of the keys to organizing effective education for pupils. Therefore, the role of the teacher in this process is extremely important.&#x0D; Teacher’s media competencies are aimed at pupils' correct selection and interpretation of media content, their perception and understanding of the content, avoiding manipulation, and literate media use.&#x0D; Our research among learners, teachers, parents shows that the use of media in modern schools is not widespread. Teachers rarely use media technologies during lessons and, as a rule, they are not aimed at the development of the pupils' media literacy, but act as meeting the demand of applying innovative methods and technical means.&#x0D; In order to organize children's media education, to use media tools, to identify teachers' level of media literacy, and to develop media competencies, studies have been conducted in various secondary schools. The studies show that some teachers don't know exactly what the media is. The responses of some of the teachers who participated in the survey show that teachers do not exactly understand the nature of the media, the forms, the answers of many of them are different and incomplete. Teachers are mostly unaware of media technologies and do not realize its role in the upbringing and development of children.&#x0D; Summing up the results of surveys of teachers, children, and their parents, we came to the conclusion that the central role in the implementation of media education is played by the teacher. He is the pedagogue of ICT and the media the one who carries out parental education; he is the one who turns students into media educators. So it is necessary to help the teacher and the future teachers in carrying out their mission.&#x0D; All this forced us to try to develop the following media competencies of teachers and in parallel, determine the pupil's media competencies.
Representation of VR-Based Health Information for Smart City

A rich source of information relevant to smart cities and health care comes from sensors embedded in the environment, or ambient sensors. Strategically responding to sensed data helps healthcare would be smarter. By gaining real time access to this information, city services can respond promptly to urgent health needs and make decisions to avoid unhealthy situations. The emergence of virtual reality and ICT assisted urban planning effectively overcomes these complexities through visualization of big data. Web-based visualization technologies such as virtual reality (VR) present a highly detailed dynamic virtual environment. Also, there is continuously increasing demand for the effective organization of this diversified data, linkage with other data, and the visualization of data. In recent years, there has been a rapid increase in the development of health information systems motivated by legislation intended to protect patients’ information and privacy and government interest in reducing the cost and improving the quality of healthcare.
GAME EDUKASI PENGENALAN JENIS DAN KARAKTERISTIK KELAPA UPAKARA BERBASIS ANDROID

In Hindu, religious ceremonies are equipped with various ceremonial means (upakara). One of the ceremonial means used is (nyuh) coconut. Coconut in addition to meeting the needs of food, medicine and crafts, leaves, flowers and coconuts in Bali are needed for ceremonies for Hindus either for everyday, or on certain days. Coconut ceremonies in Bali consist of 22 types with the characteristics of each coconut (nyuh) different. Based on observations, the characteristics of each coconut different in each part, not only by the color of the skin of the fruit, but can differ from the stem and shape of the coconut. Knowledge of coconut upakara, especially Hinduism in Bali, should know more with the types and characteristics of coconut (nyuh) for ceremonies. The large number of people who play the game, then the development of the game began to lead into the education game industry. This is meant in addition to getting entertainment in playing games, players also get added value namely knowledge. From this, affear an idea was created to make an Educational Game Introduction to the Types and Characteristics of Upakara Coconut Based on Android. Games are designed using game processing software and then exported into extension .apk to be distributed via Google Playstore. Based on the testing result, the game is in accordance with the concept and design. Games also get good responses from people who have tried to play the game.
Estimation of drone motion state using opitical flow and echo state network

We developed an algorithm for estimating ego-motion of a drone from the visual information acquired by the sensor on a drone. The ego-motion is estimated by the echo state network (ESN) whose input is provided by low-computational-cost optical flow detectors. The ESN was employed because its three-layered simple structure is suitable for installing it into a system embedded in a drone whose size and computational resource are limited. We evaluated the algorithm by classifying actual 6 degree-of-freedom motion that were applied by motors. The results showed that the algorithm was successful in classifying the motion.