Reviewerly/exHarmony huggingface dataset:
NER Tagging of Free Text Queries to Search Data for Developing Autonomous Driving System

Developing an autonomous driving system and advance driver assistance system (ADAS) is one of the most challenging problems in the automotive world since it involves safety-critical measures. Therefore, to build high performing and robust systems, they need to be developed and evaluated over millions of kilometers of real data. These systems should be tested against all possible scenarios in different lighting and weather conditions. The raw data captured are annotated and stored in a large number of recording files in the database. The extraction of specific data from such a huge amount of data becomes a challenging task. The objective of the proposed work is to interpret and transform the free text query to a specific structured format of query which is then received as input by another internal data search tool. The focus of the work is NER tagging, which is performed by the Bi-LSTM network. The network takes the free text as input and tags the token words to one of the classes like country, weather conditions, light type, road conditions, street type, and functions. Approximate word matching feature is used to map similar words for a few categories, e.g., German to Germany. The performance of the Bi-LSTM network in terms of the average F1 score over all classes is 0.96. Maximum F1 score is 1.0 for light condition, and the minimum F1 score is 0.89 for road type.
Comparison of Convolutional Neural Network Models for Recognizing Handwritten Letters

We tried using mnst to recognize handwritten numbers, and We wanted to take it a step further and make a machine learning model that recognizes handwritten letters.There is a type of neural network called Convolutional Neural Network, or CNN.By using this neural network, we made a program that recognizes handwritten letters.We made a fully connected neural network without CNN, CNN without dropout and max pooling, and CNN with dropout and max pooling.We compared the efficiency of each model.After running each model, CNN with dropout and max pooling was more efficient in recognizing handwritten letters than the other 2 models since it prevented overfitting and had the highest test accuracy.
The Effect of Private Investment on Real Interest Rate in CFA Franc Zone

This paper investigates the effect of private investment on real interest rate in CFA franc zone during the period 1980-2015. To attain this objective, the methodology adopted is the system Generalized Method of Moments (GMM). The result shows a negative and significant effect of private investment on real interest rate. In view of the result obtained, we suggest that African countries in the franc zone should vigorously pursue the establishment of favorable conditions for the development of private sector. Public policies for improving private investment should be promoted: improving the business climate, ameliorate political environment, fight against terrorism ravaging part of Africa including Mali.
Expert System for Diagnosing Diseases Tubercolosis Using Bayes Method In Puskesmas Petumbukan

Tuberculosis is an infection caused by acid-fast bacilli (AFB). Tuberculosis is an infectious disease apat affect anyone over the air. Tuberculosis is an infectious disease berbahaya.Tuberculosis a chronic or chronic disease that can strike between the age of 15-35 years. How to diagnose tuberculosis is by way of the expert of experts interviewed then test sputum samples using a lab to determine the positive or negative tuberculosis disease so it takes a long time. Therefore it takes an expert system with Bayesian methods to facilitate the penykit diagnosing tuberculosis. This expert system developed using Microsoft Visual Studio 2010 as well as by using Microsoft Access 2010 database.
ENGLISH VOCABULARY MATERIALS IN VOCATIONAL SCHOOL TEXTBOOK

This research purpose is to investigate the compatibility of materials in the textbook Bahasa Inggris based on Tomlinson’s theory. The researchers use descriptive research as the type of the research. The data of the study are the content of English textbook entitled Bahasa Inggris SMA/SMK K-13. The analysis is done by using Three Level of Analysis by Little john (2011). They are: 1) Level 1 Analysis: ‘What is There’ (Objective Description), 2) Level 2 Analysis: ‘What is Required of Users’ (Subjective Analysis), and 3) Level 3 Analysis: ‘What is Implied’ (Subjective Inference). The result of this study shows that the English textbook Bahasa Inggris fulfills 15 criteria or 93,75% of Tomlinson’s theory. Therefore the textbook is suitable to be used by the students
IOT applications for high security WSN using Elliptic Curve Cryptography Algorithm

In an earlier day’s security protocols are not feasible for wireless sensor networks(WSN) because of their resource constraint nature, here security part is challenging and solution is required to be addressed. Now a day’s wireless sensor networks are the active area of research and owed to large number of applications. The main aim is to increase the robustness of a network against attacks such as Man in Middle using the ECC (elliptic Curve Crypto system). Elliptic Curve Cryptography has been considered a feasible cryptographic technique due to its low computational overhead Securing WSN in the IoT application permits by proposing the mechanism that ensures the connectivity among devices and with lower costs in terms of consumption of energy and resource usage.
Artificial Intelligence with Quantum Computing

Quantum AI (QAI) is associate degree knowledge domain field that focuses on building quantum algorithms for up procedure tasks at intervals AI, as well as sub-fields like machine learning. The whole idea of quantum-enhanced AI algorithms remains in abstract analysis domain. Quantum mechanics phenomena, superposition and trap, area unit permitting quantum computing to perform computations that area unit way more economical than classical AI algorithms employed in laptop vision, linguistic communication process and AI. The whole idea of quantum-enhanced AI algorithms remains in abstract analysis domain. Building on recent theoretical proposals, initial sensible studies recommend that these ideas have the likelihood to be enforced within the laboratory, below strictly controlled conditions’.
Implementing Granular Access Definitions in Log Records

This document specifies a method of creation or generation of software logs that would further assist in building more granular access control definitions. The technique relies on including an authorization token within each log record, which is generated using a signed JSON Web Token (JWT). Each authorization token embeds all factual information that lets the log viewers set these access constraints, either using an external access control list or applying an access control list outlined in the log management platform.
Research Guides: LITTRANS 233: Literature in Translation: Russian Life And Culture Through Literature And Art (To 1917) (Fall 2021): Welcome

Prerevolutionary Russian visual arts, architecture, music and cinema; provides an inside view of life in prerevolutionary Russia with the help of selected readings in Russian literature.
“Pre-archiving” with the California Language Archive: Incremental Archiving and Early Ongoing Curation

Archiving traditionally concludes a research project. The California Language Archive includes a digital repository with the structure and metadata of the CLA, but whose contents are private until otherwise specified. Depositors can thus curate, change, and view their collections throughout an ongoing project prior to final accessioning. (session 4.1.1)
Designing a VR Arena: Integrating Virtual Environments and Physical Spaces for Social Sensorial Data-Driven Experiences

Data-driven use scenarios for virtual and augmented reality are increasingly social, multiplayer and integrated in real world environments, yet these remain limited player experiences in that each player wears a device that enables their immersion and removes them in some sense from the broader physical space and social interactions in which it is occurring. Our work explores one possibility for overcoming these limitations by integrating the virtual environment with the physical space it is occupying through the use of a VR Arena design. We explore the design and development of blended virtual&#x2013; physical spaces for local multiplayer experiences in which players collaboratively interact with a virtual world created from digital data, and simultaneously perform that data as a soundscape for attendees in a physical space.
FrameNet Annotations Alignment using Attention-based Machine Translation

This paper presents an approach to project FrameNet annotations into other languages using attention-based neural machine translation (NMT) models. The idea is to use an NMT encoder-decoder attention matrix to propose a word-to-word correspondence between the source and the target language. We combine this word alignment along with a set of simple rules to securely project the FrameNet annotations into the target language. We successfully implemented, evaluated and analyzed this technique on the English-to-French configuration. First, we analyze the obtained FrameNet lexicon qualitatively. Then, we use existing French FrameNet corpora to assert the quality of the translation. Finally, we trained a BERT-based FrameNet parser using the projected annotations and compared it to a BERT baseline. Results show substantial improvements in the French language, giving evidence to support that our approach could help to propagate FrameNet data-set on other languages.
Blockchain Hype: Irrational Exuberance Redux

MIT Sloan Professor Stuart Madnick is not necessarily predicting a repeat of the dot-com bubble. He is concerned, however, that the proliferation of blockchain hype obscures some serious weaknesses in the technology and makes entrepreneurs overeager to adopt it.Madnick is only half joking when he says that the easiest ways to make money with a startup in the current climate is to put “blockchain” in the company name. Bloomberg.com reported on a version of this phenomenon in October 2017, noting that shares of the British investment enterprise On-line Plc surged 394% in direct response to the company’s new name “On-line Blockchain Plc.”
ANALYSIS STUDENTS' PERCEPTIONS OF FULL DAY SCHOOL AND THE CONSTRAINTS MADE IN CLASS V OF THE CLUSTER II ELEMENTARY SCHOOL TAMPAN DISTRICT PEKANBARU CITY

This study aims to determine students' perceptions of full day school and the constraints made in class V of the Cluster II Elementary School, Tampan District, Pekanbaru City. The population in this study amounted to 291 students. Samples were used as many as 80 students taken using cluster sampling techniques. Data were collected using the questionnaire method / questionnaire supported by unstructured interviews, the data analysis used was descriptive. The results showed that students' perceptions of full day school in class V elementary school group II Tampan District Pekanbaru City showed a good category of 77%. The obstacle faced by students is that there are a number of school facilities that are lacking so that sometimes it makes students feel bored and less concentrated because of studying all day long. Efforts that can be made by the school and teachers to reduce the boredom of students in attending learning in the school all day, the school can add facilities if one is lacking, one of them is air conditioning and some plants so that the school atmosphere feels comfortable and for teachers to provide good distractions in the form of games, fun learning methods and outdoor learning activities according to the subjects so that students feel happy in learning and can create active and fun learning.
Is it simpler? An Evaluation of an Aligned Corpus of Standard-Simple Sentences

Parallel monolingual resources are imperative for data-driven sentence simplification research. We present the work of aligning, at the sentence level, a corpus of all Swedish public authorities and municipalities web texts in standard and simple Swedish. We compare the performance of three alignment algorithms used for similar work in English (Average Alignment, Maximum Alignment, and Hungarian Alignment), and the best-performing algorithm is used to create a resource of 15,433 unique sentence pairs. We evaluate the resulting corpus using a set of features that has proven to predict text complexity of Swedish texts. The results show that the sentences of the simple sub-corpus are indeed less complex than the sentences of the standard part of the corpus, according to many of the text complexity measures.
Recovering Software Product Line Architecture of Product Variants Developed with the Clone-and-Own Approach

Software products developed with the clone-and-own approach pose difficulties in maintenance. Migrating to software product line can solve this problem. This paper proposes an approach to recover software product line architecture (PLA) from a family of products developed with the clone-and-own approach. The proposed approach decomposes all source code of the family of products and analyses cloned copy classes, cloned modification classes and product-specific classes. From the results, it recovers a PLA. For determining common and variable classes, the proposed approach uses Harmonized Total Constant Commonality Indices of packages or classes of a product line (HTCCIPL). We apply our approach to recover the PLA of the Apo-Games developed with the clone-and-own approach. The results show that our approach recovers the Apo-Games PLA with a set of guidelines that can assist product line engineers in making decisions on commonality and variability of architectural elements of a PLA.
Evaluation of the Abilities of Teachers and Students to Develop Emotional Intelligence in Preschool

The purpose of this study was to identify the characteristics of teachers and students for the development of emotional intelligence in preschool. The research method was synthesis study. The statistical population of the research consisted of all documents, articles, scientific books, dissertations, scientific sources and scientific databases related to determining the required attributes of teachers and students for pre-school emotional education. 79 sources were selected using purposive sampling method. Data were analyzed in three ways: open coding, axial coding, and selective coding. The findings showed that the characteristics of preschool children for emotional intelligence development are: interaction with the environment, interactivity, affectivity of emotions, selection, gender recognition, perception of differences and similarities, emotionality, etc. The characteristics of coaches / teachers for emotional intelligence are: From: Emotional Expression, Planner and Concept Carrier, Questioning, Acting, Child Recognition, Artist, Process-Oriented, Child Play Recognition, etc ... In terms of subject matter, there are also integrated preschool courses based on these themes: content integration, Skill integration, Process integration, Learning environment integration, Tel Discern something, combined courses, combining and integrating role activity.
Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Images

Computer generated 2D plus Depth (2D+Z) images are common input data for 3D display with depth image-based rendering (DIBR) technique. Due to their simplicity, linear interpolation methods are usually used to convert low-resolution images into high-resolution images for not only depth maps but also 2D RGB images. However linear methods suffer from zigzag artifacts in both depth map and RGB images, which severely affects the 3D visual experience. In this paper, spatial distance-based interpolation algorithm for computer generated 2D+Z images is proposed. The method interpolates RGB images with the help of depth and edge information from depth maps. Spatial distance from interpolated pixel to surrounding available pixels is utilized to obtain the weight factors of surrounding pixels. Experiment results show that such spatial distance-based interpolation can achieve sharp edges and less artifacts for 2D RGB images. Naturally, it can improve the performance of 3D display. Since bilinear interpolation is used in homogenous areas, the proposed algorithm keeps low computational complexity.
Smart Education – Evolution in Digital World in Conditions of Internationalisation of Higher Education– Experts’ Opinions

The article focuses on the internationalisation of education and competences approach in the digital world as viewed by experts from different countries: the Netherlands, Poland, Turkey, Russia, and Ukraine. The article aims to provide opinions, views, and reflections on important topics addressed by the IRNet project and DLCC2017 conference participants.
Research Data Management @ RMIT

Video and slide decks from information session covering all aspects of Research Data Management @ RMIT: storage, collaboration, and sharing.Plus hear from two current RMIT Researchers, Professor Dinesh Kumar, and Dr. Andrew Martin about how publishing research data has played a role in their own RDM plans. 1. Research data management plans2. Data Storage: ITS options3. Data collaboration: Cloudstor+4. Data publishing and promotion: Figshare 3. Data search / reuse: Australian National Data Service
Digital Competence at the intersection of social values and identity : In policy, practice and theory?

In Swedish and European policies, education is identified as one key agent for advancing opportunities of digitalization and delivering digital transformations. In Sweden the National Digitalizatio ...
OCRE: the game changer of Cloud and EO commercial services usage by the European research community

&amp;lt;p&amp;gt;The OCRE project, a H2020 funded by the European Commission, aims to increase the usage of Cloud and EO services by the European research community by putting available EC funds 9,5M euro, aiming to removing the barriers regarding the service discovery and providing services free-at-the-point-of-the-user.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The OCRE project, after one year running, has completed the requirements gathering by the European research community and during Q1 2020 has launched the tenders for the Cloud and EO services.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the first part of 2020, these tenders will be closed and companies will be awarded to offer the services for which requirements had been collected by the project during 2019. The selection of such services will be based on the requirements gathered during the activities carried out by OCRE in 2019, with online surveys, face2face events, interviews among others. Additionally, OCRE team members had participated in workshops and conferences with the scope of project promotion and increase the awareness of the possibilities offered by OCRE for both research and service providers community.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In 2020, consumption of the services will start, and OCRE will distribute vouchers for individual researchers and institutions via known research organisations, which will evaluate the incoming request and distribute funds from the European Commission regularly.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This presentation will provide an overview or the possibilities offered by OCRE to researchers interested in boosting their activities using commercial cloud services.&amp;lt;/p&amp;gt;
LibGuides: Guitar: Scores

This is a library guide for students of the guitar. How to find a score in the library or online.
The Annotation of Thematic Structure and Alternations face to the Semantic Variation of Action Verbs. Current Trends in the IMAGACT Ontology

We present some issues in the development of the semantic annotation of IMAGACT, a multimodal and multilingual ontology of actions. The resource is structured on action concepts that are meant to be cognitive entities and to which a linguistic caption is attached. For each of these concepts, we annotate the minimal thematic structure of the caption and the possible argument alternations allowed. We present some insights on this process with regards to the notion of thematic structure and the relationship between action concepts and linguistic expressions. From the empirical evidence provided by the annotation, we discuss on the very nature of thematic structure, arguing that it is neither a property of the verb itself nor a property of action concepts. We further show what is the relation between thematic structure and 1- the semantic variation of action verbs; 2- the lexical variation of action concepts.
KETERAMPILAN MENULIS PUISI DENGAN MODEL CONCEPT SENTENCE SISWA KELAS V SDN 23 KOTA PAYAKUMBUH

The purpose of this study was to describe Poetry Writing Skills with the Sentence Model Concept of Class V Students of SDN 23 Kota Payakumbuh in terms of physical elements and inner elements of poetry. This type of research is quantitative research with descriptive methods. The population in this study were grade V students of SDN 23 Payakumbuh City, amounting to 22 students. In collecting data, researchers used performance testing techniques. While in analyzing the steps of the data taken by calculating the raw score the correct answer, the score changes to a value. Data analysis starts from the analysis of each aspect. The procedure for analyzing each aspect, the first to provide an assessment of student work seen from the physical elements and inner elements of poetry. Second, the conversion of scores into values using a percentage formula. Looking for the average value of the classification test results using a scale of 10. Based on the results of the study, it can be concluded that the average results of poetry writing skills using the Concept Sentence concept of class V SDN 23 Kota Payakumbuh model are 87 with very good qualifications, in terms of physical elements 86.25 with excellent qualifications, from the inner element is 87.5 with very good qualifications. So, the fifth grade students of SDN 23 Kota Payakumbuh were good at writing poetry using the Concept Sentence model.Keywords: writing, poetry, and model concept sentence
A Survey on Opinion Mining

The technique of extracting people's thought and conception from the text is known as opinion mining. Opinion Mining is the study of human's opinion regarding an object. Opinion mining is one of the part of natural language processing, information retrieval and text mining. The huge amount of web content available on the social media in the form of reviews, blogs, tweets, comments etc has become an effective, attractive and challenging problem. That's why it is much more difficult toanalyze the opinions of human.Therefore there is necessity for developing an effectual system to evaluate the opinions and generate the accurate results.
EFFECTS OF ROLE-PLAY ON INDONESIAN JUNIOR HIGH SCHOOL STUDENTS’ SPEAKING SKILLS: A CLASSROOM ACTION RESEARCH STUDY

The purpose of this study was to implement Role-Play method in improving English speaking abilities. This research is a classroom action research consisting of 2 cycles, each cycle consisting of planning, implementation, observation and reflection. The study was conducted in eight grade semester I of 2016/2017 academic year at SMP Negeri 17 Bintan with a total of 34 research subjects. The data collection methods used in this study are performance tests and observations. Quantitative method is used as data analysis. The results showed an increase in English speaking skills through Role Play method, in the first cycle with an average score of 63.06 percentage of completeness 17.65%, increased in the second cycle with an average score of 75.65 percentage of completeness 85.29%. It was concluded that Role Play method can improve English speaking skills.