Reviewerly/exHarmony huggingface dataset:
“M-Auto” The Augmented Reality-Based (AR) Learning Media Application for the Finite-State Automata (FA) Reduction Subject of Language and Automata Theory Courses

AbstractA proper learning process should contain innovative, amusing, challenging, and motivating aspects. It should be able to provide an opportunity for the students to develop their creativity and independence based on their interests and talent. Less interesting and tedious classroom learning activity indicates the factor of the students’ learning interest degradation, for example as in the language and automata theory and finite-state automata reduction subject. The current research aims to aid language and automata theory in a learning activity to be easier to acquire. With the Augmented Reality-based learning media, the researcher hopes that the students can develop their understanding and their interest in a learning activity, especially for finite-state automata subjects. The subject of the current research is the Augmented Reality-based application as the learning media for language and automata theory and finite-state automata material. The researcher employs several research methodologies such as literature review, library research, and questionnaire to support the current research. The application is designed according to system development that consists of problem identification, appropriateness study, need analysis, concept designing, content designing, script designing, graphic designing, system production, and system examination. The result of the current research is the AR-based learning media application for the finite-state automata reduction subject of language and automata theory. Keywords: Learning Media, Finite-State Automata Reduction, Augmented Reality
Automatization Of Answers To Questions By Matching Syntactic Graphs

In this paper, we are providing a solution for a relevant interdisciplinary problem of QA-automatization. However, there are very few question-answer systems for the Russian language at the moment. This study develops a model of a question-answer system that allows to give an accurate answer to a specific question while being fast-acting and easily expandable. This paper aims to develop an algorithm that automatically allows to find answers to questions to interrogated units of the text or sentence. The model of a sentence represents a syntactic tree obtained as a result of the automatic processing. The system is rule based. The rules are the probability modifiers of subordination of two words in a tree. The carried out experiments show good robustness and high quality of answers finding more than 90% in case the correct trees of question and answer were built. In case some sentences of text were analyzed incorrectly, the quality depends on percent of wrong trees and can vary from 0 to 90%. The quality of answers discerns highly for different question types. The experiments indicated another problem: a method in question requires the exact match of lexemes in the question and the text. In addition, experiments availed to identify ways for improving the system.
Autonomous Driving Inspires Photonics to Thrive

PhotonicsViewsVolume 17, Issue 4 p. 1-1 EditorialFree Access Autonomous Driving Inspires Photonics to Thrive The technology is now at the tipping point Eric Yang, Eric Yang Director, Chinese Optical Society Deputy General Manager, CIOESearch for more papers by this author Eric Yang, Eric Yang Director, Chinese Optical Society Deputy General Manager, CIOESearch for more papers by this author First published: 03 August 2020 https://doi.org/10.1002/phvs.202070401AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume17, Issue4August 2020/September 2020Pages 1-1 RelatedInformation
Scheduling Scientific Workflow on Cloud Using Meta-Heuristic Static Scheduling Algorithm

Workflow has reduced the complexity of scientific applications. Other than Grid and Cluster, Cloud Computing is an ideal platform for an efficient workflow deployment. But due to its dynamic variation in VMs, many challenges come across it. Quality of Service (QoS) in terms of cost and execution time is a key issue in workflow scheduling. In this paper, the authors have proposed a scheduler that is inspired by PSO (particle swarm optimization) and works on a given deadline neglecting its constraint. The technique used is the meta-heuristic approach and results have been simulated inCloud Sim and experimental results show better performance of the proposed method as compared to other state -of-artalgorithms.
Current Situation and Countermeasures of Learning Adaptability for College Filing Poor Students

In order to understand the current situation of learning adaptability of college filing poor students, this study forms a questionnaire after the appropriate deletion of the existing scale of learning adaptability of college students.Firstly, the questionnaire was tested in a small scale to verify the reliability, then the questionnaire was formally distributed to college filing poor students and ordinary college student.Then the recovery data are analyzed by SPSS17.0 software and IBM.SPSS.Amos.v21 software.The results show that there is no significant difference in learning motivation, teaching mode, learning ability and learning attitude between college filing poor students and ordinary college student, but environmental adaptability of college filing poor students is relatively weak; besides, the adaptability of female students to teaching mode is relatively strong.Based on the data analysis, this study puts forward some suggestions to improve the learning adaptability of college filing poor students.
Multi-Modal Summarization for Digital Data

ABSTRACT Text summarization aims to abbreviate input text into a compact form. Automatic data summarization is one of the field of data mining. The increase in expansion of data communication over the net makes it crucial to create Multi-Modal Summarization (MMS) from synchronous data (text, audio, image and video). The MMS method combining the techniques of Natural Language Processing (NLP), speech processing, computer vision, and Advanced Encryption Standard (AES) encryption used to traverse the abundant information present in multi-modal data, to improve quality as well security. The main scheme is to bridge and lessen the allowable gaps between multi-modal data. Video is consisting of audio and visual (image). Speech transcriptions used for audio. For observable information, the joint representations of image and text are studied using an artificial neural network for visual information. Finally, all the multi-modal features are examined to generate a textual summary by increasing the salience, readability. The summary generated by text, audio, image, or video is encrypted using the AES data encryption method (to make it secure) and stock on the server, from where the user can retrieve it when required by supplying the decryption key. Keywords: AES, encryption, decryption, summarization, multimedia, multi-modal, natural language processing Cite this Article: Malan D. Sale, Archana Mahajan, Akshay Nale, Yogesh Shelar, Asawari Melgire. Multi-Modal Summarization for Digital Data. International Journal of Embedded Systems and Emerging Technologies. 2020; 6(1): 28–34p.
PENGEMBANGAN MEDIA MONOPOLI TEMATIK BERBASIS MODEL PEMBELAJARAN KOOPERATIF TIPE TWO STAY TWO STRAY PADA TEMA INDAHNYA KERAGAMAN DI NEGERIKU UNTUK SISWA KELAS IV SDN 104204 SAMBIREJO TIMUR KAB. DELI SERDANG

The purpose of this research is to produce a thematic monopoly media based on the two stay two stray cooperative learning model on the theme of 7 the beauty of diversity in my country that is suitable for grade IV students of SDN 104204 Sambirejo Timur on sub-theme 3 the beauty of unity and unity of my learning country 1. The research instrument consisted of observations, interviews and questionnaires. The results showed that the assessment of media experts in stage I by validator 1 received an average score of 4.05 in the good category, and validator 2 received an average score of 4.25 in the good category. While the validation of material experts in stage I by validator 1 gets an average score of 3.50 in the good category, and validator 2 gets an average score of 4.25 in the good category. Then the assessment of the media in stage II obtained by validator 1 gets an average score of 4.50 in the excellent category, and validator 2 gets an average score of 4.70 in the very good category. In the validation of material experts in stage II by validator 1 get an average score of 4.60 categories is very good, and validator 2 get an average score of 4.66, including very good category and worthy of testing without revision. Based on the explanation above, it can be concluded that the thematic monopoly media based on the two stay two stray cooperative learning model on the theme of the beauty of diversity in my country is feasible for learning grade IV SDN 104204 Sambirejo Timur T.A 2019/2020.Keywords: educational game tools, thematic monopoly, grade IV elementary school.
Design Optimization of Power and Area of Two-Stage CMOS Operational Amplifier Utilizing Chaos Grey Wolf Technique

Low Power Dissipation is an emerging challenge in the current electronics industry.Area shrinking has found the most prominent place and is the foundation of every constricted size in the utilization of CMOS circuits in Integrated Circuit Manufacturing.Functionality in terms of rapidity, dissipation of power, etc. are strongly influenced by the dimensions of transistors in many CMOS Integrated Circuits.The significant formulation parameters in CMOS circuit design to perform optimization of the above-mentioned parameters, and various techniques were projected earlier to a maximum extent possible.Latency, Power, and Dimension are significant parameters in the design of CMOS based IC design.Most analog circuit reduction in terms of size as parameter typically describes solitary or many objectives-controlled optimization issues.The eminent challenges with regards to size and power dissipation can be described as problems that are typically encountered under certain conditions.In this study, the design of a two-stage CMOS Differential Amplifier applying the nature-inspired Grey Wolf Algorithm for optimizing the area and power is utilized.To enhance the formulation terms concerning important considerations such as the amount incurred, strength, and functionality; a computerized formulation approach is used.This formulated design proposal will meet specifications such as positive and negative Slew Rate, Unity Gain Bandwidth and Phase Margin, etc. Chaos theory can be induced into the Grey Wolf Optimization Algorithm (CGWO) with the help of speeding global convergence metric i.e.Speed.The results obtained from CGWO are then analyzed with the functionality of other prevailing optimization techniques employed in the analog circuit sizing.Depending on the investigations, CGWO functions reduce the dimensions of the circuit and analyze the prevailing techniques by achieving a healthier rate of convergence and power dissipation with low value.
Dinâmicas de divulgação de ciência aberta: o caso do Grupo de Trabalho de Divulgação do RCAAP

The purpose of this paper is to show the work done by the Working Group of RCAAP (Repositórios Científicos de Acesso Aberto de Portugal) project for the dissemination of Open Access in Portugal, during its activity and the impact on RCAAP's community.This Group was established in 2013 as RCAAP wanted to encourage its members to participate more actively in promoting Open Access for the academic and scientific community in Portugal.This group focus its action on disseminating International Open Access Week (OAW), a world-wide event for the promotion of Open Access to knowledge.Results of the activities and materials suggested for the dissemination of the Open Access Week are presented corresponding to the goals defined by the Working Group.Conclusions confirm the effort of the activities and tasks promoted by this group, boosting the dissemination of Open Science in Portugal.
Recognition of Handwritten Characters using Deep Convolutional Neural Network

One of the most researched topics with wide implementations in different fields is Handwritten Character Recognition (HCR). To utilize this technology in automated data-entry applications, this is one of the fields on which past and recent works have been done to focus on a variety of languages. Individual characters in a word are recognized through a set of images, which are then studied by the Deep Neural Network. It is with the help of this recognition that results are ranked. This ranking is performed based on the client's request. A Convolutional Deep Neural Network Model is considered to acknowledge the handwritten characters in this paper. It learns, using local receptive areas and heavily connected neural network layers, a useful set of ordination which are required to generate an optimum result.
Cov Menyuam Whiz! ZOO HEEV! TSEEB TXOG COVID-19 NTAUB NPOG NTSEG MUAG THIAB KEV SIB NRUG DEB

Two files are attached; Hmong_WhizKidzAmazingFacts_Original is the original handout, while Hmong_WhizKidzAmazingFacts_Accessible has been made more digitally accessible through the application of tags and other accessibility measures, which resulted in slight color and font changes.
Sistem Kelayakan Borang Akreditasi Program Studi Menggunakan Fuzzy Inference System

The Board of National Accreditation Body for Higher Education) evaluates the performance of a study program. This compels it to improve and maintain its performance. The process of accreditation involves several steps, one of which is the completion of accreditation documents by the study program. The completion requires data from various sources, both from the study program and the institution. However, the data required are often not recorded properly and kept by different sources. As a result, it takes longer time to complete the arrangement. Moreover, inconsistent data format becomes another factor which holds back this process. The application of fuzzy inference system, as used by Kesatuan Business and Informatics Institute, as in the above case can result in a better scoring in which each component is assessed and it will yield the prediction of the expected accreditation status before it is submitted to BAN-PT. This research aims to develop a web based accreditation system with fuzzy inference system and construct a prediction of score ad accreditation status in IBI Kesatuan, using 4 variables of input assessment criteria, namely: external condition, institutional profile, criteria and analysis, and development program decision. The resulting output is the status of non- accredited, good accredited, excellent accredited, and superior accredited. There are 4 phases in the methods: problem identification, needs and system analysis, system design, system implementation and testing system. The result of blackbox test show that 8 features can operate well. The features consist of criteria menu, indicator menu, date user, LKPS data, LED data, LKPS and LED assessment input, recapitulation and conclusion. Based on the results of the study, it can be concluded that accreditation system can be applied to predict the scores and accreditation status of information system study program of IBI Kesatuan.&#x0D; &#x0D; Keywords: accreditation, fuzzy inference system
Document Summarization using Graph Based Methodology

This paper works towards constructing a short summary of documents with the help of natural language processing techniques.The authors goal is to identify the important aspects of a large piece of textual information, extract it and present it in a concise manner such that it conveys the information in a more efficiently and precisely.The proposed approach will generate a simple summarization of one or more documents which will help the readers to understand what the documents offer to them and identify their context without reading through them entirely.The existing methods for this work focus on different aspects of the text involved but the efficiency of these methods largely varies.The proposed methodology makes use of a combination of multiple aspects of text instead of a single aspect in order to improve the efficiency of summarization systems.The authors present a qualitative and quantitative analysis of their system as compared to the existing base-lines and demonstrate our system for a relevant application like news snippet generation.
A New Algorithm for Contact Trace Network Evolution and Visualization

The necessity for contact tracing in the fight against infectious diseases including pandemics like COVID 19 cannot be overemphasized.One of the obvious challenges is how to device practical strategies for computational evolution and construction of a homogenous network for contact tracing.A second challenge is how to evolve practical tools and algorithms for the visualization of contact network that models transmission.This research evolves a new algorithm which first, builds a new specialized data structure known as PiVector, and then a corresponding contact network visualization system.The resulting network could be used for contact tracing of the transmission of infectious diseases.This work practically demonstrates a programmatic and data-driven approach to network evolution, construction and visualization.This work was implemented using Python Programing Language and other related data mining technologies.
ToCaMS – Workshop on Testing of Configurable and Multi-variant Systems

Due to increasing market diversification and customer demand, more and more software-based products and services are customizable or are designed in the form of many different variants. This brings about new challenges for the software quality assurance processes: How shall the variability be modelled in order to make sure that all features are being tested? Is it better to test selected variants on a concrete level, or can the generic software and baseline be tested abstractly? Can knowledge-based AI techniques be used to identify and prioritize test cases? How can the quality of a generic test suite be assessed? What are appropriate coverage criteria for configurable modules? If it is impossible to test all possible variants, which products and test cases should be selected for test execution? Can security-testing methods be leveraged to an abstract level?
TRUSTED MACHINES? MACHINE LEARNING, MORE-THAN-HUMAN SPEED AND DEAD LABOR IN PLATFORM CAPITALISM

Decision making machines are today ‘trusted’ to perform or assist with a rapidly expanding array of tasks. Indeed, many contemporary industries could not now function without them. Nevertheless, this trust in and reliance upon digital automation is far from unproblematic. This paper combines insights drawn from qualitative research with creative industries professionals, with approaches derived from software studies and media archaeology to critically interrogate three ways that digital automation is currently employed and accompanying questions that relate to trust. Firstly, digital automation is examined as a way of saving time and/or reducing human labor, such as when programmers use automated build tools or graphical user interfaces. Secondly, automation enables new types of behavior by operating at more-than-human speeds, as exemplified by high-frequency trading algorithms. Finally, the mode of digital automation associated with machine learning attempts to both predict and influence human behaviors, as epitomized by personalization algorithms within social media and search engines.&#x0D; While creative machines are increasingly trusted to underpin industries, culture and society, we should at least query the desirability of increasing dependence on these technologies as they are currently employed. These for-profit, corporate-controlled tools performatively reproduce a neoliberal worldview. Discussing misplaced trust in digital automation frequently conjures an imagined binary opposition between humans and machines, however, this reductive fantasy conceals the far more concrete conflict between differing technocultural assemblages composed of humans and machines. Across the examples explored in this talk, what emerges are numerous ways in which creative machines are used to perpetuate social inequalities.&#x0D;
Polycultural Society And Internet Resources To Help Linguists

The paper deals with polyculture and Internet resources to help linguists. The Internet is a way to study polyculture in the conditions of global education. Introduction of information and communication technologies into polycultural education opens and unites the world of understanding between representatives of different nationalities, cultures and religions. As you know, the Internet is the largest library in the world. With the help of the Internet, we can find the necessary information in a few seconds. Scientists can communicate with each other, post their works and get acquainted with the works of scientists from all over the world in this field of research. Follow bibliographical data, discuss and quote colleagues from around the world. This is a polycultural society united by digital resources. Inter-resources make it easier for students and doctoral students to work, save time and provide more information. In our study we conducted a social survey of including undergraduate, graduate and doctoral students and teachers. We believe that additional information in the form of trainings, articles and links to different internet resources depending on the language of the specialty serves as a kind of platform to help the linguist.
Perancangan Sistem Informasi Masyarakat Berbasis Web Mobile di Komplek Perumahan Puri Cendekia I Jatinangor

In recording population data at Puri Cendekia 1 Jatinangor Housing conducted by the Head of RT, it is still done conventionally. This raises several problems, namely: difficulties in knowing occupant / resident data information that can only be known by the head of the RT, so that many residents of the complex do not know their neighbors, recording and information services of the community in a complex environment is still limited by space and time, so that if there is a need from the community can only be done at certain hours, conventional records in the population book are at risk of damage and loss of data. In this research the system development method used is using the OOAD (Object Oriented Analysis and Design) method with the RUP (Rational Unified Process) model, which consists of several stages, namely: Business Modeling, Requirements, Analysis and Design, Implementation, Test, Deployment. As for the system development tools using UML (Unified Modeling Language) which consists of: Use Case Diagrams, Activity Diagrams and Class Diagrams. With the design of a Mobile Web-based community information system, it is expected to be able to: Make it easier in finding data on residents of housing complexes, Simplify data collection and community services without being limited by space and time, Avoiding damage and loss of data.