Reviewerly/exHarmony huggingface dataset:
Sound Approach for AI Generated Video Highlights

A large number of cameras record video around the clock, producing huge quantities of data. Processing or scrutinizing such huge chunks of videos and extracting salient events from the large video databases manually is a quite laborious and time-consuming task. Again such video data requires huge memory space to store. Due to such an increase in video data, there is a need for effective techniques for video retrieval and analysis as no one has enough time to watch the entire video.Generating highlights from the video is called as video summarization and this technique produce a short, informative summary of a long video without losing the important data frames. This technique is useful in the indexing and classification of such videos in the video database. This paper provides a review of different approaches given by various researchers in the field of video summarization.
Students’ Perspectives toward the Integration of Technology to Improve Multiliteracies in EFL Classroom

The rapid development of information and communication technology in the 21 st century undoubtedly has profound impacts on human lives and dramatically transforms education. Accordingly, many of schools attempt to reconceive their pedagogical practices to include technology in their curriculums and lesson plans. In the field of English language teaching, technology integration has long been advocated and has become an integral part of classroom teacher practices. The terms like CALL ( Computer Assisted Language Learning ), TELL ( Technology Enhanced Language Learning ), MALL ( Multimedia Assisted Language Learning ), CMCL ( Computer Mediated Collaborative Learning ) are frequently present and encountered in English language teaching literatures. Studies on the effectiveness and the impacts of technology integration in English Foreign Language (EFL) teaching had also been widely conducted. However, study on students’ perspectives toward the integration of technology to enhance multiliteracies in EFL classroom is rarely found. This research aimed at finding out students’ perceptions on the integration of technology to improve multiliteracies in EFL teaching. This study employed explanatory sequential mixed method in which the data were obtained through questionnaire, interviews, and classroom observations. The subjects for this study were 96 semester two students of Informatics Engineering Department taking English subject in a state polytechnic in Banjarmasin. The questionnaire data were processed in SPSS 22 and analysed thoroughly. The data from interviews and observations were coded and analysed thematically. The results indicated that the students had a strong belief in the integration of technology in the classroom despite the barriers encountered during the implementation. The results of this study hopefully could provide insights for EFL teachers particularly in designing teaching framework in which technology is integrated in the entire instructional process.
Sentiment Analysis of Twitter Data

In today’s world the internet has become very important to each and everyone. with the increase in technology people are using different platforms to share their opinions. With the daily happenings in the world we use internet in many different forms and different ways likeOnline teaching , online studying, exchange of ideas etc. so in today’s life peoples reaction on any case like politics,analyzing etc are very important to involve. Sentiment analysis is very useful in social media
РОЗВИТОК МОТИВАЦІЇ ШКОЛЯРІВ ДО НАВЧАННЯ ЗАСОБАМИ ІКТ

The article analyzes the latest research on the development of students' motivation to learn through ICT; defined the concept of and communication as the basis of quality educational process in the development of the information society; an attempt is made to characterize the pedagogical tasks of information and communication learning based on the study of the components of the motivational sphere of the modern generation and to describe the methodology and technology of the educational process using the latest electronic learning tools primarily computers.For the purpose of integration of modern information and communication technologies in training preparation of pupils for full life in the conditions of information society, and also formation of motives of training as process of creation in school of conditions for emergence of internal motivations (motives, the purposes, emotions) and their further self-development of their own motivational sphere.It is investigated that modern information technologies in the learning process allow: to intensify the cognitive activity of students; provide positive motivation for learning; to conduct lessons at a high aesthetic and emotional level; to ensure a high degree of differentiation of learning (almost individualization) increase the amount of work performed in the lesson by 1.5-2 times; improve knowledge control; rationally organize the educational process; to increase the efficiency of the lesson, to form skills of search and research activity; provide access to various reference systems, electronic libraries and other information resources.The author concludes on the choice of optimal methods for the development of motivation to learn, taking into account the psychological and pedagogical aspects of this process; the conditions necessary for formation of motivation of pupils to training and maintenance of humane relations between the teacher and the pupil are characterized; Prospects for further research are identified, which consist in studying the specifics of the transformation of educational and cognitive motives into meaning-making, ie their transition to a new – personal level.
IMPROVING LOCAL GUIDES’ SPEAKING SKILL TROUGH ROLE PLAY

This research is to face learners’ obstacles in speaking English. Researcher used an approach to teach speaking skill. Role play is strategy done by researcher that can be used to overcome 13 local guides English communication problem. This research belongs to classroom action research that uses the technique to teach speaking to the local guides in Kulon Progo by using role play as activity in learning process. This research needed two cycles that include. That was started by conducting pre-test. There were five steps in conducting action research such as planning, acting, observing, implementing and reflecting in each cycle. Those cycles showed local guides’ improvement in speaking English. Learners also showed their improvement in speaking English that can be seen by five speaking acpects. Five aspects of speaking which well improved such as fluency, dictation, pronunciation, intonation and grammar. The improvement was analized by comparing different score between pre-test and two upcoming cycles. The increase of speaking aspect score was seen from the comparion of pre-test to the cycle 1. It was obtained 3.08. While the obtained score of comparion between cycle 1 and cycle 2 was 5,385. It showed improvement score from each cycle of local guides English communication.
IMPROVING STUDENTS’ VOCABULARY MASTERY THROUGH MATCH METHOD

The purpose ofthe research  was to improve the students’ vocabulary mastery at VIII grade of SMP Bina Satri a Mulya Medan. The subject of this research consist of24 students of VII I-1 as the control class an d  24students of VIII - 2 as experimental class. The sample was taken by using purposive sampling. This research was applied by experimental research. The technique of analyzing data of this study was applied by using quantitative data. The quantitative data was taken from the tes t . The result of this research was showed that there was improving of students’ vocabulary mastery. Most of students achieved good score at the end of every meeting. The result of the data analysis wasshowed the means of students in Control class (VIII - 1) score in pre-test was 31.32 while the students E xperimental class(VIII - 2) score in pre-test was 30.36 . After the researcher applied match method there was changed in post test score of both, the means of students in control class 35.40 while of students in experimental class score 38.52. The researcher used SPSS version 25 to calculate an independent t test of 2-tailed whit the significant value 0.048 ≤ 0.050 according to the t test rule if the significant value is lower than 0.050 then the result of  t obs ha s to higher than  t table. Therefore the value of t obs 2.034 withsignificant level of5%, andthe value of t table 2.011, so that t obs 2.034 ≥ t table 2.011 . Based on the result that had been obtained, i t indicated that the application match method in VIII - 2 was effective to improve students’ vocabulary mastery. The students’ vocabulary mastery can be improved by using match method. It can be concluded Ha was accepted and Ho was rejected.
Teknik Analisis Data (Analisis Kualitatif Pada Hasil Kuesioner)

The aim of this research is describing analysis data based on questionnaire effort. The methodused in the research is descriptive narrative on qualitative data analytive data analytive withbibliography source. And the result of the research has found technical of Data Analysis, whereFreqency (f) devided by simple (n) mulptiplied by one hundred percent, so the result ispercentage, and then calculated percentage of all item of questionnaire. Finnaly, this percentageeffort transformed to table of percentage interval and find the interpretation. Conclusion, thereis describing analysis data based on questionnaire effort.
Optimize the Time and Network on the Distribution of Tempe Industry by Using the Approach of the Assignment and Networking

The problems that occur in the soybean tempe home industry are the competition in the market sector and unstable prices. The purpose of this study is to determine the assignment of employees in performing their works and to distribute them to each destination with the shortest distance. The research method used is assignment, networking using the assistance of the operations management software program - quantitative methods (POM-QM) for windows. The data used are the primary data conducted in a preliminary study. In addition, data collection techniques are carried out in several ways, namely interviews, observation and schedule recording. The finding provides optimal results for all four employees based on suitable jobs. Each employee is employee 1 with a type of laundering taking 17 minutes. Employees 2 with a kneading type of work taking 35 minutes. Eemployees 3 with wrapping job type taking 10 minutes. Meanwhile, eemployees 4 is breawing taking 15 minutes. In addition, the distribution of tempe to the destination point with the shortest route produces a distance of 76 km.
Survey of image recognition technology based on convolution neural network

In recent years, Convolutional Neural Network (CNN) has made a series of breakthrough research results in the fields of image recognition and so on.The powerful ability of CNN for image recognition attracts wide attention.However, due to the widespread application of CNN's deep neural network model in the field of image processing, many of these problems have been solved and even the recognition accuracy of some algorithms has exceeded the human eye recognition accuracy.Therefore, CNN has very important research value in image recognition.This article discusses the current status and prospects of its technology development.
MITAO: a tool for enabling scholars in the Humanities to use Topic Modelling in their studies

Automatic text analysis methods, such as Topic Modelling, are gaining much attention in Humanities. However, scholars need to have extensive coding skills to use such methods appropriately. The need of having this technical expertise prevents the broad adoption of these methods in Humanities research. In this paper, to help scholars in the Humanities to use Topic Modelling having no or limited coding skills, we introduce MITAO, a web-based tool that allow the definition of a visual workflow which embeds various automatic text analysis operations and allows one to store and share both the workflow and the results of its execution to other researchers, which enables the reproducibility of the analysis. We present an example of an application of use of Topic Modelling with MITAO using a collection of English abstracts of the articles published in Umanistica Digitale. The results returned by MITAO are shown with dynamic web-based visualizations, which allowed us to have preliminary insights about the evolution of the topics treated over the time in the articles published in Umanistica Digitale. All the results along with the defined workflows are published and accessible for further studies.
Analysis of College Students’ Mathematical Contest in Modeling and Higher Mathematical Education Reform

The process of educational reform is constantly advancing and deepening, and people are paying more attention to mathematics education. Mathematics education at different learning stages will focus on cultivating students’ mathematical thinking, helping students learn mathematics while applying it to real life. In advanced mathematics teaching, mathematical modeling competition is an effective way, which can not only help higher mathematics education accelerate the reform process, but also promote the continuous improvement of its teaching quality. This article mainly analyzes the significance of college students’ mathematical modeling competition in the reform of higher mathematics education, and briefly introduces the problems that should be paid attention to in this process, hoping to be helpful to mathematics educators.
Research to select exercise of developing moving speed in competitions - Applying for badminton team of Tan Trao University

Results of the study was to assess the status of practicing moving skills in competitions of badminton team and choices are 5 exercises with shuttlecock, 4 exercises without shuttlecock, and in which 4 tests has the most effective outcome in competitions. Applications these exercises for badminton team of Tan Trao University have better performances in comparison as before.
Development Trend of Intelligent Transportation in the Era of Big Data

Abstract The arrival of the big data era has brought great convenience to people’s real life. All aspects of our lives follow the development of the big data era. In the context of the era of big data, through data collection and analysis, the current urban transportation has been reasonably developed, laying a good foundation for the development of intelligent transportation in the future, and can solve various current problems. Based on the analysis of the traffic system, this article finds that the real-time road condition prediction of common functions is highly correlated with route guidance. Therefore, this paper uses a method based on historical data to predict road conditions, and uses the prediction results to dynamically allocate road segments, and then uses the relevant single-source shortest path algorithm to simulate the optimal path. By analyzing the application advantages of data mining in intelligent transportation, Baum Welch’s algorithm is used for data mining in a real-time traffic prediction system based on historical data. Real-time road conditions are matched with historical data models to predict road conditions. Finally, analyzed and designed the big data cloud platform framework applied to it to achieve higher efficiency. The experimental research results show that, by studying the development of urban intelligent transportation systems, the purpose of this paper is to make better use of existing resources to process data more efficiently, and then combine distributed data mining algorithms to optimize the processed data and apply it to in the intelligent transportation system, an intelligent management and control system that is more efficient, accurate, and user experience better can be established.
Logical Team Q-learning: An approach towards factored policies in cooperative MARL

We address the challenge of learning factored policies in cooperative MARL scenarios. In particular, we consider the situation in which a team of agents collaborates to optimize a common cost. Our goal is to obtain factored policies that determine the individual behavior of each agent so that the resulting joint policy is optimal. In this work we make contributions to both the dynamic programming and reinforcement learning settings. In the dynamic programming case we provide a number of lemmas that prove the existence of such factored policies and we introduce an algorithm (along with proof of convergence) that provably leads to them. Then we introduce tabular and deep versions of Logical Team Q-learning, which is a stochastic version of the algorithm for the RL case. We conclude the paper by providing experiments that illustrate the claims.
Data Stream Harmonization For Heterogeneous Workflows

Transport infrastructure relies heavily on extended multi sensor networks and data streams to support its advanced real time monitoring and decision making. All relevant stakeholders are highly concerned on how travel patterns, infrastructure capacity and other internal / external factors (such as weather) affect, deteriorate or improve performance. Usually new network infrastructure can be remarkably expensive to build thus the focus is constantly in improving existing workflows, reduce overheads and enforce lean processes. We propose suitable graph-based workflow monitoring met­hods for developing efficient performance measures for the rail industry using extensive business process workflow pattern analysis based on Case-based Reasoning (CBR) combined with standard Data Mining methods. The approach focuses on both data preparation, cleaning and workflow integration of real network data. Preliminary results of this work are promising since workflow integration seems efficient against data complexity and domain peculiarities as well as scale on demand whilst demonstrating efficient accuracy. A number of modelling experiments are presented, that show that the approach proposed here can provide a sound basis for the effective and useful analysis of operational sensor data from train Journeys.
The Effects of Mobile Phone Technology, Knowledge Creation and Diffusion on Inclusive Human Development in Sub-Saharan Africa

This paper examines the joint effects of mobile phone technology, knowledge creation and diffusion on inclusive human development in 49 sub-Saharan African (SSA) countries. The empirical evidence is based on Tobit regressions for the period 2000-2012. The net effects of interactions between the mobile phone, knowledge creation and diffusion variables are positive indicating that the combined effects of these variables improve inclusive human development in SSA countries. Further analysis dividing the dataset into a number of fundamental characteristics based on economic, legal, religion and political stability associated with African economies show that mobile phone penetration and associated innovation in SSA improve inclusive human development irrespective of the country’s level of income, legal origins, religious orientation and the state of the nation. The pupil-teacher ratio exerts a negative influence on the outcome variable which is favourable for inclusive human development because higher ratios denote lower education quality since more pupils are accommodated by fewer teachers. The study contributes to innovation diffusion theory and economic development literature.
A Robot in IP-The Issues and Need for Legislation

Advent of economy and information technology has transformed the world from manual to one touch dependence on computer-based technology and Artificial Intelligence (AI). A robot can create something without any instructions at its own free will; the question that arises here is, whether such asset created by a robot would qualify for the grant of IP protection? If it is granted, who would be qualified to own the IP protection? The questions remain unsettled. The paper elucidates the basic idea of AI, its current scenario in relation to the concept of legal entity as a juristic person in different jurisdictions followed by illustrations and circumstances of the difficulties and challenges faced by the creators of AI in the field of patent using the concept of inventorship, inventive step, non-obviousness and theoretical analysis by subject matter patentability. And finally, the legal status and a policy suggestion as a conclusion on how it would help in improving the patent laws through TRIPS. The rapid increase in creation of intangible asset is astonishing and it becomes an absolute necessity to focus on the subject of AI and define it by law as the technology advances.
SISTEM PENGELOAAN ARSIP SURAT DAN DOKUMEN PADA SEKRETARIAT DAERAH KABUPATEN BENGKALIS

Along with the development of current technology, the need for information is increasingly high and continues to grow, so that various kinds of companies and institutions, must have made changes such as computerized systems within the company or its institutions, so that they can compete and improve the quality of work that is very professional. Records or records of activities in an organization are very important to be maintained and managed. Poor management of archives in an institution or office will adversely affect the performance of the office, at this time the Bengkalis district secretariat still records letters still manually, because this secretariat is in need of information systems for processing archives of letters and documents, with the existence of an archive processing system Letters and documents are expected to be helpful for staff performance in each section of the Bengkalis Regency Secretariat. where the processing of letter and document archives can be captured regularly, so that the completed Documents can be directly printed in the recap for the purposes of other agencies that are in need.
Determination of Heavy Metals in Saline Soil: A Comparison between Microwave Assisted Single Extraction and Sequential ExtractionMethod

The present research assesses the chemical fractionation of cadmium (Cd), chromium (Cr), and lead (Pb) detected in saline soil samples of Hyderabad Pakistan. Based on the reagents used in the BCR three step sequential extraction scheme (BCR-SES) for partitioning Cd, Cr, and Pb in saline soil samples, a Microwave single step extraction (MSE) method was developed. The validity of the methods was confirmed using certified reference material (CRM) BCR-701 and the standard method of addition (recoveries 96-102%). The data provided by the BCR-SES method for Cd, Cr and Pb were compatible with MSE using the same operating conditions applied and checked in BCR fraction by the Certified Reference Material (CRM) BCR 701. Atomic absorption spectrometry was used to test extractable Heavy Metals (HMs) substances obtained by comparative method. Using compromised sonication and microwave conditions, steps 1–3 of the sequential extraction (excluding hydrogen peroxide digestion in step 3) could be accomplished with ultrasonic bath between 15–30 min, whereas 60–120 s were needed for MSE. The total concentrations of Cd, Cr, and Pb extractable metals produced by three separate extractions ranged from 1.02-3.30, 5.02-9.95 and 3.97-8.01 μg/g respectively. The accuracy of the proposed BCR single extraction procedure (RSD %) for all metals was found within the % range from 4.91–8.61% respectively.
Machine Learning II +OC

Master Universitario en Ingenieria de Telecomunicacion, Master en Big Data. Tecnologia y Analitica Avanzada, Instituto de Idiomas Modernos