Reviewerly/exHarmony huggingface dataset:
Puntuación automática de textos transcritos desde voz en lengua española

El procesado de lenguaje natural es una de las areas de la inteligencia artificial menos avanzadas debido a la complejidad y la diversidad de las lenguas existentes en el mundo, a pesar de que la interaccion entre los humanos y las maquinas es cada vez mayor. Para que esta comunicacion sea posible es necesario que los sistemas sean capaces de comprender y generar el lenguaje de forma correcta sin dar lugar a ambiguedades y, para ello, es muy importante que aprendan las reglas por las que se rige el lenguaje. En esta tesis se investigan las distintas tecnicas de procesado del lenguaje natural con el fin de completar el significado de textos en espanol no puntuados a traves de la restauracion de los signos de puntuacion necesarios. Se da una vision del estado actual de las reglas de puntuacion en la lengua espanola y de las diversas aproximaciones aplicadas hasta el momento para la restauracion de puntuacion en textos escritos. Por otro lado, se ha implementado una solucion basada en las tecnicas de aprendizaje profundo estudiadas y capaz de puntuar textos escritos en espanol, resolviendo asi posibles ambiguedades de esta lengua.---ABSTRACT---Natural language processing is one of the least advanced areas of artificial intelligence due to language complexity and diversity, in spite of the fact that interaction between humans and machines is greater and greater. To make this communication possible, it’s necessary to have sistems with the ability of understanding and generating language in a good way without provoking ambiguity. Therefore, it’s very important for these sistems to learn all language rules. In this thesis, we research different natural language processing techniques with the aim of complete the meaning of unpunctuated texts written in spanish by restoring the suitable punctuation marks. We give a view of the current state of spanish punctuation rules and the diverse approaches applied so far for restoring punctuation in written texts. On the other hand, we have implemented a solution which is based on the studied deep learning techniques and able to punctuate spanish written texts, solving possible ambiguities of this language.
Research on the Integration of Maker Education and Practical Teaching of Automation Major

Maker education combined with professional education is an important way to effectively improve college students' innovation and entrepreneurship ability.In order to stimulate students' interest in learning and creativity, this paper proposes that the practical teaching of automation major should be student-centered, based on the advantages of the major itself, and fully integrate the educational thoughts of makers in the aspects of practical teaching ideas, teaching contents, teaching methods and teacher construction.This practical teaching mode has been implemented in the teaching of automation major in our university.It has achieved remarkable results in improving the quality of talent cultivation, creating a practical teaching platform and promoting the development of teachers.
Improvement of professional quality of skills of music teachers

Much profile is a discriminating particularity to activity of the teacher of the music. As is well known, lesson of the music comprises of itself choral chant, performance on music instrument, listening the music and analysis heard, questions historian-theoretical cycle, solfeggio and t d. Teacher of the music must possess deep three-dimensional knowledge’s, broad range of the music professions.
A Graph Signal De-Noising Method Using Spanning Tree and Graph Filter Bank

In this paper, a graph signal de-noising method using spanning tree and graph filter bank is presented. First, the minimum spanning tree representation of sensor network graph signal is constructed by using the distances among the sensors. Then, graph signal on spanning tree is transformed into a signal on bipartite graph by vertex re-ordering. Next, the prefect reconstruction two-channel graph filter bank on bipartite graph is used to reduce the noise superimposed on graph signal by suitably attenuating the signal energy at high-pass channel. Finally, the signal to noise ratio (SNR) is used to evaluate the performance of the proposed de-noising method.
Construction of Amharic-arabic Parallel Text Corpus for Neural Machine Translation

Many automatic translation works have been addressed between major European language pairs, by taking advantage of large scale parallel corpora, but very few research works are conducted on the Amharic-Arabic language pair due to its parallel data scarcity.However, there is no benchmark parallel Amharic-Arabic text corpora available for Machine Translation task.Therefore, a small parallel Quranic text corpus is constructed by modifying the existing monolingual Arabic text and its equivalent translation of Amharic language text corpora available on Tanzile.Experiments are carried out on Two Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) based Neural Machine Translation (NMT) using Attention-based Encoder-Decoder architecture which is adapted from the open-source OpenNMT system.LSTM and GRU based NMT models and Google Translation system are compared and found that LSTM based OpenNMT outperforms GRU based OpenNMT and Google Translation system, with a BLEU score of 12%, 11%, and 6% respectively.
Formation of Agents’ Competences in Multi-Agent System Oriented on Business Operation Execution

Robotization of the organization-technical systems provides using software bots for each business operation. The software bots functionality related to the executing human will cause the problem of agents’ competency formation in a multi-agent system with orientation on business operations execution. The problem-oriented questionary language is the impotent component of communication process. This language is applied by user (future h-agent) for creating structure and content of competence for defined business operation. And this language is applied for supplying dialogue between h-agent and bot (b-agent). The set of models has been designed for solution of the task of construction of most adequate structure of verbal images system. This verbal images system represents content of business operation and interprets phrase in agents’ dialogue process. Wherefore the set of text processing operators needed for interpretation has been designed. The formal model of phrase interpretation can be used in the process of b-agent learning to getting any role. This formal model is used in the process of mutual functioning of b-agent and human. Also this formal model can be used for any language without implementation of grammar analysis. The specialized service model of organization-technical system for development of information technology for agent competencies formation in a multi-agent system is proposed. This model, unlike the existing ones, is based on the use of an intellectual agent, and includes an agent model, an agent competence model, a set of natural-language interpreting models, and a base of knowledge. In this case designed model can build a controlled multi-agent system for executing business processes with quick adaption to new business operations. The complex of models for the intellectual agent competence formation is offered. This complex, unlike the existing ones, contents the model of questionary language, the conceptual and formal models of phrases interpretation, the model of definition the most important aspects of business operation, and knowledge base. Used knowledge base allows to quickly form various competencies of agents in the dialogue between user and agent with minimal use of programming languages.
Designing a Chatbot Application for Student Information Centers on Telegram Messenger Using Fulltext Search Boolean

Chatbot can be used as a solution of human resource issues in term of answering user’s questions about STMIK PGRI Tangerang. A chatbot application can have a conversation or answer user’s questions automatically. Knowledge is needed for chatbot to work properly. The general scheme of chatbot’s knowledge is the existence of patterns and responses. This research will implement the Fulltext Search Boolean Mode for the pattern-matching process with the input received by the chatbot application based on Telegram Messenger Bot. Chatbot application which created in this research can provide answers to information that is relevant to the input or questions provided by users.
The Effectiveness of Android-Based 2D Mobile Learning Teaching Materials on Indonesian Language Subject in Elementary School

One of the competencies that must be mastered in the 21 st century is having the ability to use technology.In this digital era, the use of technology has become a basic need that pervades every joint of human life.Therefore, innovation in learning is needed to support and facilitate students in carrying out learning so students are able to keep up with the times.The focus of this study is on the effectiveness of the use of Android-based 2D mobile learning teaching materials which are the result of the development of the Indonesian language teaching material digitalization program in elementary schools.The purpose of this study was to determine the effectiveness of Android-based 2D mobile learning teaching materials on Indonesian language subjects in elementary schools.The method used in this study was a quasi experiment using control class and experimental class.The results of the study show that the value of Mann-Whitney U produced is 72.50.Sig value.(2-tailed) obtained at 0.00.Apparently the acquisition of Sig.(2-tailed) smaller than the actual level proposed at 0.05 (0.00 <0.05).Thus, it can be proven that there is a significant difference between the posttest of Indonesian learning achievement in the experimental class and the control class.The important point in this research is as a means of innovation in the form of digitizing teaching materials for elementary school students.
Diagnosa Penyakit Demam Berdarah Dengue (DBD) menggunakan Metode Learning Vector Quantization (LVQ)

Dengue Hemorrhagic Fever is a disease that is carried and transmitted through the mosquito Aedes aegypti and Aedes albopictus which is commonly found in tropical and subtropical regions such as in Indonesia to Northern Australia. in 2013 there are 2.35 million reported cases, which is 37,687 case is heavy cases of DHF. DHF’s symthoms have a similarity with typhoid fever, it often occur wrong handling. Therefore we need a system that is able to diagnose the disease suffered by patients, so that they can recognize whether the patient has DHF or Typhoid. The system will be built using Neural Network Learning Vector Quantization (LVQ) based on the best training results. This research is to diagnose Dengue Hemorrhagic Fever using LVQ with input parameters are hemoglobin, leukocytes, platelets, and heritrocytes. Based on result, the best accuracy is 97,14% with Mean Square Error (MSE) is 0.028571 with 84 train data and 36 test data. Conclution from the research is LVQ method can diagnose DHF Keywords: Dengue Hemorrhagic Fever; Learning Vector Quantization; classification; Neural Network;
Relevansi Ranah Kognitif dan Motivasi Berprestasi dengan Hasil Belajar PAI

The purpose of this study was to determine the relationship between cognitive style and achievement motivation style with the learning outcomes of Islamic Religious Education (PAI) students of SMP 5 Rejang Lebong. The research method uses survey methods with a correlational engineering approach. The research data were sourced from cognitive style test results and achievement motivation tests and PAI learning outcomes obtained from report cards. The results showed there was no significant relationship between cognitive style with PAI learning outcomes with ρ-value 0.122. There is a significant relationship between achievement motivation and PAI learning outcomes with ρ-value 0.022. Cognitive style and achievement motivation are related to PAI learning outcomes ρ value = 0.031&gt; 0.05. Conclusion, there is no significant relationship between cognitive style with PAI learning outcomes. There is a significant relationship between achievement motivation and PAI learning outcomes. Cognitive style and achievement motivation are jointly related to the learning outcomes of PAI students of Rejang Lebong Middle School.&#x0D; Keywords: Achievement, PAI Learning Outcomes, Cognitive, Motivation
Desain Bahan Ajar Tambahan Untuk Meningkatkan Minat Siswa Dalam Belajar Bahasa Ingggris

Abstract This research and development aims to describe the design and feasibility of the quality of English teaching materials for junior high school students. The research uses five out of ten stages based on Gall Borg & (2007) determination of the stages of research including: (1) research and information collecting, (2) planning, (3) developing preliminary forms of product, (4) preliminary field testing, (5) main product revision. The researchers get an evaluation of learning material from several evaluators. The results obtained show that almost all opinions are in agreement and agree. 33.33% of evaluators agree that infographic can generally help students understand the lesson. The remaining 66.66% of students strongly agree. The evaluator agreed that graphs and drawings were broadly related to teaching material. All evaluators also agreed that the material was interestingly designed. This shows that all evaluators agreed in accordance with the statement instrument. Thus, the product results can be used by teachers in helping students in the learning process.
Pengembangan Storyboard Game Sekolah

The school is a very important place of learning for every Indonesian citizen. Receiving education is the right of Indonesian citizens who have been guaranteed by the 1945 Constitution. Therefore, every Indonesian citizen has the right to get an easily accessible and quality education. To go to quality schools, each school must meet National Education Standards. Meeting the quality standards of schools needs to implement rules that are expected to increase the quality of each school. The rule then needs to be tested which sometimes the process is very long and prone to failure in the middle of the rule is applied. In this study, researchers created a school game storyboard that is expected to help the process of testing a rule so that it does not need to take a very long time. From the results of the storyboards that have been made it can be seen that building a quality school must be started and arranged from level 1.
Chronotope of Actor’s Improvision in the Context of J. Moreno’s Theatre Background

The aim of this paper is to define the methodological approaches to the formation of actor’s ability to improvise based on J. Moreno’s theatre theory.Research methodology is based on the principles of objectivity, historicism, multifactority, systemacity, complexity, development and pluralism. The methods of scientific knowledge are used: problem and chronological, specific historical, statistical, descriptive, logical and analytical.Results. It is proved that the improvisational style of performance, as a model of co-creation, which enhances the existing “here and now” dynamics, recognizes the hidden creative potential in each individual, contributes to the organic interaction of stage partners and returns the ancient instruments of the theatre. Improvisation, as the dominant category of J. Moreno’s theatre background, calling for structural flexibility in order to enhance the inclusiveness and openness of unhindered theatre discourse, promotes the transgression of acting skills.Novelty. A study of stage improvisation was carried out and the multifunctionality of its nature was revealed; the concept of “improvisation” was clarified and supplemented. The author reveals its specific role and place in the performing arts and studies the nature of improvisational creativity of the actor. The paper determines the place and functions of improvisation in the creative process of acting reincarnation; psychological characteristics of acting improvisation are considered, including multi-level consciousness in the process of performance, improvisational thinking and self-perception in the image.The practical significance. The research may be used in developing lectures by specialists in directing and acting studies.
PERBEDAAN HASIL BELAJAR SUBTEMA KEBERAGAMAN BUDAYA BANGSAKU MELALUI MODEL NUMBERED HEAD TOGETHER DAN MODEL PEMBELAJARAN KEPALA BERNOMOR STRUKTUR DENGAN PENDEKATAN SAINTIFIK PADA KELAS IV SDIT AL-HIDAYAH KECAMATAN CIBINONG KABUPATEN BOGOR

This study uses a quasi experimental method. The purpose of this study was to determine the differences in learning outcomes of my nation's cultural diversity sub-themes through the application of Number Head Together learning model and Head Number Structure with Conventional learning models. This research was conducted at SDIT Al-Hidayah, Cibinong District, Bogor Regency, class IVA, IVB and IVC in the odd semester of the academic year 2017/2018. The analysis technique used is the analysis prerequisite test which includes the normality test, homogeneity test, then the research hypothesis is tested using the t test. The results showed that in the third normality test the sample was normally distributed because Calculate t table (2.01063). There are differences in learning outcomes of the subtitles of my nation's cultural diversity through the head learning model with the structural number obtained by N-Gain 58.96 and conventional learning models obtained by N-Gain 32.00. And the results of testing the hypothesis states that H0 is rejected and Ha is accepted because t count (3,421)> t table (2,01063). There are differences in learning outcomes of the subtitles of my nation's cultural diversity through the number head together learning model obtained by N-Gain 72.00 and the head learning model with the structural number obtained by N-Gain 58.96. And the results of testing the hypothesis states that H0 is rejected and Ha is accepted because t count (2.975)> t table (2.01063). Based on the results of the study it can be concluded that the most effective learning model is the number head together learning model.
An Unveiling Navigation in Fog Ambiance by FPGA based Autonomous Vehicle with Minimal Sensing

This paper provides an approach for reference-less object detection for outdoor environment adaptable for navigating an autonomous vehicle. The computational efficiency of the image processing is to be questioned on its throughput in practical environment; a minimal sensing approach is needed to fulfil the gap formed due to this, so we propose a heuristic approach for tracking an object in dense fog ambiance. Driving through an environment with partial visibility may be fatal; a solution to this problem relies in prior intimation of object to be confronted based on the echo signal obtained. Depending on the nature of the obstacle, it can be dodged accordingly. As soon as the obstacle is detected the array of sensors gives the basic information of the obstacle. The Proposed algorithm is capable enough of finding the distance between the objects and analysing them through control unit designed by FPGA thereby confirming their nature of being static or dynamic. Efficiently making the robot to traverse through this adverse environment. This can be extended/applied to the field of automotive
DAMPAK PULUNG GANTUNG (PENCIPTAAN DENGAN METODE SENI GRAFIS)

Pulung Gantung is one of the mythology in Kabupaten Gunungkidul which the community at there still believing as it is supported by some logic reasons until now. In the myth, Pulung Gantung always illustrated as a fire ball which dropped from the sky as a symbol of the happening of self-hanging. This story related with the reality where the statistic of self-hanging in Kabupaten Gunungkidul happened to be around 28 to 32 cases per year. This case became interesting where myth could be connected to the reality directly and it is still believed by many (in where this case also experienced different development of variety definition), which indirectly created variety layers of impact. The complexity of this theme and different perspectives to define attracted the artist to carry out research and apply the outcome with the method of printmaking as a way to process the impact of Pulung Gantung. With the method of printmaking, it progressively attracted to the definition of printmaking slowly returned to the early essence of printmaking itself as a media without limitation of conventional rules. This strongly supported the artist to apply this media on this topic to have an open discussion about the impact of Pulung Gantung with the presentation of different medium like sound, words or product. The artist creates the work in different medium, hopefully could become a vague stimulant for a better understanding about the myth and the reality of this topic. Nevertheless, other than understanding, there is potential for audience to have new idea or other’s perspective about this topic as the work presented in an indirectly way. In this case, the outcome of the work about the impact of Pulung Gantung creates the possibilities of different conclusion and new perspectives. With this idea, the possibility from the impact of mythology intersects with the reality which unconsciously continue to be happened.
The Use of Card Sort to Improve Students’ Vocabulary at MTsN Parepare

This research aimed to know by using Card Sort can improve students’ vocabulary at students of MTsN Parepare. Generally the use of media as teaching aid mainly aimed at increasing the teaching process to be more motivating and interesting. This research was conducted in MTsN Parepare. Researcher used quantitative study in the form of Pre – Experimental design with one group pre-test and post-test. There are independent variable and dependent variable. Random sampling is the technique to take the sample and VIII.5 is the samples which consist with 26 students. The instrument that used is test, observation and documentation. The result calculation of mean score pre-test of students was 52.31 and mean score post- test of students was 65.57. The result of this research showed there was significant different in statistical analysis where the statistical t-test (2.7) was higher than t-table (1,708) with degree freedom (df = N-1) 25. The researcher concluded the using of Card Sort is able to improve students’ vocabulary. From 15 questionnaires, the students answered very positive. Based on the Likert scale, the students were very positive in learning English by using Card Sort. It means that the Card Sort media makes students have positive response toward in learning vocabulary. The cumulative percentage on the fifteen items of the positive statements questionnaire was 96,62, while the cumulative score that they got from the questionnaire was 1633. The researcher concluded the using of Card Sort is able to improve students’ vocabulary at MTsN Parepare
Real-time pedestrian video segmentation using memory network

We propose a fast and efficient method for pedestrian video segmentation. Previous methods can only use the first frame or the previous frame or a combination of the two, but in our framework, all past frames can be used by using memory network. The past frames with corresponding masks form the memory, and the current frame as the target will be segmented using the information from the memory instead of itself for only. The solution can better handle the problems such as movement and appearance changes in the video. ResUnet is used as the segmentation network to improve time efficiency. Since no dataset is publicly available yet for pedestrian video segmentation, we have internally labeled a large dataset which contains 216 sequences in the training set and 24 sequences in the test set and it will be made public in the future. We validate our method on the test set and achieved the mean IU of 92.6 which is better than using previous methods while keeping real-time(90FPS for input of 160*96 on a TITAN V).