Reviewerly/exHarmony huggingface dataset:
The Effectiveneness Of Using Piaget, Vygotsky, And Brunner Theories In Teaching English For Young Learners At Sdn Kebun Bunga 6 Banjarmasin

To address three theories in teaching English for young learners (Piaget, Vygotsky, and Brunner), the researchers believe that an effective teaching teachniques that pay attention not only to the needs of the young learners but also to their interests are very important. This research reported our pre-experimental study on the effectiveness of using Piaget, Vygotsky, and Brunner theories in teaching English for young learners at SDN Kebun Bunga 6 Banjarmasin. There were 26 students of the fourth grade, study English at SDN Kebun Bunga 6 Banjarmasin, participated in this research. The data collected by conducting three times treatment in one class of the fourth grade, and written tests (pre-test and post-test). Findings revealed that the students got better score after the implementation of those three theories (Piaget, Vygotsky, and Brunner) in the classroom; they were very enthusiastic learned English in the classroom by interacting with the teachers and the peers. Their responses toward this activity were also positive. This research is expected to be beneficial for teachers who are interested in applying those three theories in English classroom, especially for young learners’ classroom.
Team PFDet's Methods for Open Images Challenge 2019

We present the instance segmentation and the object detection method used by team PFDet for Open Images Challenge 2019. We tackle a massive dataset size, huge class imbalance and federated annotations. Using this method, the team PFDet achieved 3rd and 4th place in the instance segmentation and the object detection track, respectively.
Analysis of Phonemes and Tones Confusion Rules Obtained by ASR

This paper is based on the exploration of the effective method of erroneous phoneme pronunciation of Chinese mandarin learners whose mother tongue is Uyghur and the solution of major problems of language education, concerning the learner’s pronunciation, it uses a different method, namely data-driven approach, and the Automatic Speech Recognition (ASR) is also used to recognize phonemes of the pronunciation of Chinese mandarin learners whose native language is Uyghur. The phoneme sequence is identified and then the standard pronunciation phonemes corresponding to the recognized phonemes are used as the target phonemes to obtain the mapping relation of each target phoneme and recognition phoneme, thus the possible phoneme error categories and possible erroneous rules in Uyghur learners’ pronunciation can be obtained, which may give some help to the Uyghur learners to learn the Chinese auxiliary language system and the corresponding pronunciation evaluation model.
Pengembangan Alat Pengenalan Bentuk Bangun Geometri Untuk Anak Usia Dini Berbasis Mikrokontroler

The purpose of this study is to design geometry learning media for early childhood. The tool designed is an interactive introduction tool, so it is hoped can attract early childhood children to learn to recognize and remember geometric patterns. The main brain of the system created is Arduino Mega with microcontroller ATMega2560. The tool created has two modes, namely learning mode and question mode. In learning mode, early childhood can insert geometry objects into the tool, then the tool will provide a description of the image on the LCD and the sound associated with the object entered. In question mode, early childhood will be challenged to enter the geometry objects into the tool according to the question, then the tool will determine whether the geometry entered is correct or false. This learning media is expected to help early childhood to be able to recognize and remember every form of geometry, where based on the results of the test, the selection mode on the tool was 100% successful, the process in the learning mode and the question mode had a success rate of more than 80%.
Sosialisasi Pembelajaran Digital Bagi Guru SDN 14 Bonto-Bonto Kabupaten Pangkep

The application of digital technology can provide solutions to community problems, especially in the education sector. But there are still many teachers whose teaching abilities have not been supported by these digital technologies. SDN 14 Bonto-Bonto located in Pangkep Regency is the place for the digital learning training process as well as a form of community service carried out by the team of the Informatics Engineering Department of the Faculty of Engineering, Hasanuddin University. This activity is also a venue for socialization and introduction of research results from lecturers and students. Digital learning models can be divided into 2 namely electronic based learning and internet based. Some digital learning methods taught include Augmented Reality, Mind Mapping, and Educational Games. Augmented Reality is a technology that involves overlaying computer graphics in the real world, where three-dimensional virtual worlds can be brought into real-world environments in real-time. Learning to use AR makes students' visual appeal in learning as well as educational games. Mind Mapping is a learning method in the form of visualizing ideas, thoughts or plans to form interconnected diagrams. With this method, students are trained to think structured and easy to solve problems. Mind mapping application itself has been widely available and can be downloaded for free. The training in developing digital learning media that is held is expected to help teachers and students understand the concepts while at the same time foster motivation in learning. This service activity also adds insight to teachers about new learning methods that can make the learning process more enjoyable.
Bakomliggande intelligens i Bot Framework : En undersökning av Microsofts ramverk för att skapa chatbotar

Purpose The purpose of the project was to investigate how a chatbot, based on the swedish version of Microsoft Bot Framework handles language based varieties of the users questions. This is to prov ...
Analisis Objek Bergerak Dengan Metode Background Subtraction

This study aims to test and analyze the accuracy of the Background Subtraction Method in detecting moving objects in a room with the help of CCTV cameras. Data for this research requires data from various sources such as observations and documentation. The analysis and testing techniques carried out are quantitative and qualitative in order to obtain the expected research results. The results of this study indicate that this application detects movement from within and works by using video samples to detect movements that occur in the room.
Using Segmentation Masks in the ICCV 2019 Learning to Drive Challenge

In this work we predict vehicle speed and steering angle given camera image frames. Our key contribution is using an external pre-trained neural network for segmentation. We augment the raw images with their segmentation masks and mirror images. We ensemble three diverse neural network models (i) a CNN using a single image and its segmentation mask, (ii) a stacked CNN taking as input a sequence of images and segmentation masks, and (iii) a bidirectional GRU, extracting image features using a pre-trained ResNet34, DenseNet121 and our own CNN single image model. We achieve the second best performance for MSE angle and second best performance overall, to win 2nd place in the ICCV Learning to Drive challenge. We make our models and code publicly available.
ENHANCING STUDENTS’ INTEGRATED LISTENING-SPEAKING COMPETENCE THROUGH VIDEO BLOG (VLOG): A Classroom Action Research Conducted at the English Department Students Universitas Ahmad Dahlan

Listening-speaking competence is a part of the language skill which is considered as difficult to be learned. It also happened in this research participants. Based on the problem, the purpose of this research was to enhance the students’ listening-speaking competence through video blog (vlog) in Universitas Ahmad Dahlan .This is a classroom action research conducted toward 28 students of fourth semester of Advanced Listening-Speaking class at the English Department in Universitas Ahmad Dahlan. The instruments of this research were interview, class observation, pre-test, post-test and also documentation. This research was conducted in two cycles which each cycle consisted of four meetings. The steps of the research were planning, action, observation and reflection. The research was held from 25th March until 9th April 2019. The data were in form of qualitative and quantitative data. The qualitative data were in the form result of interview and observation while the quantitative data was in the form of numerical data. The video blog (vlog) were implemented as learning media in the classroom to enhance the students’ integrated listening-speaking competence.The result of the research showed the students’ integrated listening-speaking competence enhanced. The enhancement could be seen from the pre-test score which has 56,9 to 81,5 in the post-test.Key words : Integrated Listening-Speaking Competence, Video blog (vlog), Media
Creating and Managing Topologies

The previous chapter focused on the repository and the functionality available from PeopleSoft Cloud Manager to simplify and automate the process of downloading and managing application packages. This chapter will focus on how you can design and manage the infrastructure on which those application packages will run. Cloud Manager uses the concept of topology to help define the various components within your PeopleSoft environment.
Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach

Live streaming platforms need to store a lot of recorded live videos on a daily basis. An important problem is how to automatically extract highlights (i.e., attractive short video clips) from these massive, long recorded live videos. One approach is to directly apply a highlight extraction algorithm to video content. However, algorithmic approaches are either domain-specific, which require experts to spend a long time to design, or resource-intensive, which require a lot of training data and/or computing resources. In this paper, we propose Lightor, a novel implicit crowdsourcing approach to overcome these limitations. The key insight is to collect users' natural interactions with a live streaming platform, and then leverage them to detect highlights. Lightor consists of two major components. Highlight Initializer collects time-stamped chat messages from a live video and then uses them to predict approximate highlight positions. Highlight Extractor keeps track of how users interact with these approximate highlight positions and then refines these positions iteratively. We find that the collected user chat and interaction data are very noisy, and propose effective techniques to deal with noise. Lightor can be easily deployed into existing live streaming platforms, or be implemented as a web browser extension. We recruit hundreds of users from Amazon Mechanical Turk, and evaluate the performance of Lightor using two popular games in Twitch. The results show that Lightor can achieve high extraction precision with a small set of training data and low computing resources.
Desain Promosi Badan Pelayanan Perizinan Dan Penanaman Modal

Such developments grow rapidly not only seen from the capabilities of the computer alone, one of the benefits of the development of computer technology today can we feel in the field of multimedia audio visual and broadcasting that has the role of Important in the world of information technology and functioning as a medium to fulfill, cultivate creativity and imagination into a form that is as well as desired. But for now human resources in multimedia audio visual and broadcasting has not been fulfilled.
THE IMPLEMENTATION OF MIND MAPPING TECHNIQUE TOIMPROVE STUDENTS’ WRITING SKILL OF DESCRIPTIVE TEXT ATTHE SECOND GRADE OF MTS N 3 LAMPUNG UTARA

The objectives of this research were to find out whether there was significantimprovement on students’ writing skill of descriptive text after the implementationof mind mapping technique and also to find out which aspect of writing improvedthe most after the implementation of mind mapping technique.The population of this research was second grade student of MTs N 3 LampungUtara in the academic year 2018/2019. The sample of this research was class VIIIA that consisted of 25 students. The data were in forms of writing scores that weretaken through pretest and posttest and were analyzed by using Repeated MeasureT-test in which the significance was determined by p<0.05.The result of this research showed that statistical computations indicated significantvalue of posttest-pretest was lower than 0.05. Therefore, the hypothesis of theresearch which stated that there is significant improvement on students’ writingskill of descriptive text after the implementation of mind mapping technique wasaccepted. The mean score of pretest was 61.92 and the mean score of posttest was80.00. It means that the students’ score improved about 18.08. It was followed bycontent aspect with the gain 7.21 in which the aspect that improved the most overlanguage use, organization, vocabulary and mechanic. Briefly, it can be concludedthat mind mapping technique can be implemented to improve students’ writing skillespecially on descriptive text.Keywords: writing, descriptive text, mind mapping technique.
Predicting clinical outcomes via machine learning on electronic health records

The rising complexity in healthcare, exacerbated by an ageing population, results in ineffective decision-making leading to detrimental effects on care quality and escalates care costs. Consequentl ...
Humanistic technologies of support of educational processes: the paradoxes of management and self-realization

The feeling of lack of happiness, the joy of socializing within the walls of educational institutions determine the paradox of modern learning. Filling out forms, following instructions, complying with «indicators» make it impossible for a person to show such feelings. Joy and well-being in the process of transferring social experience, defining the meanings and forms of this process in the situation of mass reforms and innovations in the field of education are the research problem to which the article is devoted. The authors believe that the paradox of incompatibility of management and self-realization processes in educational institutions is solved through the use of humanistic technologies accompanying professional activities. Such technologies provide a thrifty context for working with personnel, suggest humanistic grounds for developing measurement criteria, take into account experience and feelings of participants in the process, focus on the effect of teacher-student interaction. The understanding of the dependence of well-being and happiness on professional success was formed. A person's desire to become a professional correlates with the possibility of achieving social well-being. The pedagogical profession, revealing to a person a range of possibilities for realizing the potential of his personality, provides an opportunity to achieve the desired well-being and happiness.
SENSE: a Shared Encoder Network for Scene-flow Estimation

We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, disparity estimation from stereo, occlusion estimation, and semantic segmentation. Our key insight is that sharing features makes the network more compact, induces better feature representations, and can better exploit interactions among these tasks to handle partially labeled data. With a shared encoder, we can flexibly add decoders for different tasks during training. This modular design leads to a compact and efficient model at inference time. Exploiting the interactions among these tasks allows us to introduce distillation and self-supervised losses in addition to supervised losses, which can better handle partially labeled real-world data. SENSE achieves state-of-the-art results on several optical flow benchmarks and runs as fast as networks specifically designed for optical flow. It also compares favorably against the state of the art on stereo and scene flow, while consuming much less memory.
Geometry Based Conjunctive Hierarchical Threshold Secret Image Sharing Scheme

In hierarchical secret sharing scheme (HSSS), the secret is shared among participants with different privileges that are distributed into distinct levels. Although HSSS has been proposed by several researchers, none of them have been used geometry characteristics to define conjunctive hierarchical secret image sharing (HSIS) scheme. Moreover, small shadow images have important role in transmission over the network and also in storage demand. The main objective of this paper is to propose conjunctive HSIS scheme based on generalized Blakley’s projective geometry scheme with small size of shadow images.
Design an inexpensive augmented reality platform for the customized application

Augmented reality technique (AR) is an emerging method to advance real world (RW) environment or user experience, which is mixed virtual and real reality. It is generally used to support image formation concepts, which is enhanced using relevant equipment. However, the relevant equipment is high-cost, portable, and limited software or hardware equipment, which reduces its potential application areas. Therefore, the aim of this paper is to design an inexpensive platform to determine the customized application using augmented reality, which is based on open-source software and hardware equipment. It is used to advance the targeted platform with several render effects. In addition, three virtual models are selected and applied animation function on its platform, which is controlled using external device such as keyboard and mouse. It is successful, sufficient and inexpensive device to meet the demands in various applications with external control device.
Research on Speech Feature Extraction System in Oral English

This paper analyzes and studies the problems existing in oral practice, proposes a study of speech feature extraction system in oral practice, and uses MALTAB to analyze cepstrum on the extraction of speech signal, to mainly research the same type of feature parameters for reference speech and follow-up speech.Make reference voice and follow-up voice in the same framework of performance according to voice feature, dynamically present in the form of waveforms and graphs, showing differences at multiple angles and levels, and encouraging oral practitioners to continue to improve pronunciation, narrow differences for corpus marking.
A Limiting Process to Invert the Gauss-Radon Transform

In this work we extend the finite dimensional Radon transform [23] to the Gaussian measure.We develop an inversion formula for this Gauss-Radon transform by way of Fourier inversion formula.We then proceed to extend these results to the infinite dimensional setting.
KEMAMPUAN MENULIS TEKS CERITA SEJARAH SISWA KELAS XII MAN KOTA BATU

ABSTRAK Penelitian ini dilatarbelakangi oleh inovasi dalam dunia pendidikan yang terus dilakukan, termasuk mengembangkan ragam teks yang perlu dikuasai siswa. Salah satu ragam teks baru dalam kurikulum adalah teks cerita sejarah. teks cerita sejarah merupakan sebuah kisah yang ditulis atau dituturkan oleh seseorang dengan menggunakan sebuah peristiwa bersejarah sebagai latarnya. Tujuan dari teks cerita sejarah pribadi adalah untuk memberikan informasi kepada pembaca atau pendengar mengenai alur terjadinya peristiwa yang dialami penulis sekaligus memberikan hiburan bagi pembaca atau pendengar. Penelitian ini dilakukan dengan metode deskriptif kuantitatif yang menggunakan hasil tes menulis siswa kelas XII MAN Kota Batu sebagai data. Aspek yang dinilai adalah struktur teks dan unsur kebahasaan dalam teks cerita sejarah pribadi.Pada dasarnya, kemampuan menulis teks cerita sejarah siswa kelas XII MAN Kota Batu tergolong baik. Hal tersebut berdasarkan hasil tes dengan rata-rata yang mencapai 78,3. Nilai ini didapat dari rata-rata nilai struktur dan rata-rata nilai kebahasaan. Kata kunci : kemampuan menulis, cerita sejarah ABSTRACT This research is motivated by innovation in the world of education that continues to be carried out, including developing a variety of texts that need to be mastered by students. One of the various new texts in the curriculum is historical story text. historical story text is a story written or spoken by someone using a historical event as the background. The purpose of personal history story text is to provide information to the reader or listener about the flow of events experienced by the author while providing entertainment for the reader or listener. This research was conducted with a quantitative descriptive method that uses the results of the writing test of class XII MAN, Batu City as data. The aspects assessed are the structure of the text and elements of language in the text of personal history stories. Basically, the ability to write historical story texts of class XII MAN students in Batu City is quite good. This is based on test results with an average of 78.3. This value is obtained from the average value of the structure and the average value of language. Keywords : writing skills, historical stories Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin-top:0cm;mso-para-margin-right:0cm;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0cm;line-height:115%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:Calibri,sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Times New Roman;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:Times New Roman;mso-bidi-theme-font:minor-bidi;}
Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation

Deep reinforcement learning (DRL) is a promising approach for adaptive robot control, but its current application to robotics is currently hindered by high sample requirements. We propose two novel data augmentation techniques for DRL in order to reuse more efficiently observed data. The first one called Kaleidoscope Experience Replay exploits reflectional symmetries, while the second called Goal-augmented Experience Replay takes advantage of lax goal definitions. Our preliminary experimental results show a large increase in learning speed.