Reviewerly/exHarmony huggingface dataset:
Role of Machine Translation in internationalizing and localizing web based product

Translation of a web site is one of the most effective methods to secure the reputation in the international markets. According to statistics more than 50% of the Internet users either live outside the English-speaking countries or do not speak English at all. The scientific research in the sphere of information technologies also reveals that there is a greater chance to make a purchase if the site address of potential clients is in their mother tongue. Web site translation gives the opportunity to attract not only English-speaking customers, but also all those who speak other native languages. Translation of web site is a complex operation which requires skills, experience and professional knowledge in many areas. We propose a system which includes two main tasks -a professional and grammatically correct translation of the website content, and an adaptation of the web site navigation, graphics, optimization and other components. Generally the translation process is carried out in two steps. First the translator mechanism needs to detect possible modifications and flaws in the original text and understand the meaning that is to be conveyed. In second step the translator mechanism will unwind the syntactic structure of the original text and then formulate the corresponding message in the target language, thus giving the original text added value in terms of both wording and impact. In these ongoing efforts we intend to have a translation system which will provide more accurate translation than currently available tools such as google translate. We will also develop a web application which will be automatically internationalized or localized according to the user’s locale.
Planejamento de movimento utilizando campos vetoriais para robôs diferenciais futebolistas.

Robots, currently, assist humans in diverse tasks, both in industrial and domestic environments.Among the many possible applications for a robot, robot soccer (similar to human sports) drawsattention because it is a very dynamic and fast environment, conducive to research in robotics,including computer vision techniques, artificial intelligence and autonomous navigation ofmobile robots. In this context, this work presents an overview of the development of differentialrobots that compete in the IEEE Very Small Size Soccer category by the Rodetas Robo Clubeteam of the Federal University of Ouro Preto. The work presents a path planner based on vectorfields that aims to enable the robot to efficiently evade dynamic obstacles and take it to its targetwith a predetermined arrival orientation. Besides, three path following controllers were tested:(i) Feedback Linearization, (ii) Sliding Modes, (iii) UAV adapted. The results indicate that themost suitable controller for this type of robot was Feedback Linearization. Finally, in the testsperformed, it was found that the proposed path planner allowed the robot to effectively deviatefrom obstacles and reach its goal with the orientation determined by the game strategy.
NETWORK FORMAT OF EDUCATION: FOREIGN AND DOMESTIC EXPERIENCE OF IMPLEMENTATION

The article is devoted to the study of the implementation of educational programs of higher education in a network form, using domestic and foreign network forms of educational programs is reviewed Ключевые словавысшее образование, сетевое взаимодействие, образовательные программы
LibGuides: Getting Started Using the Library (Support during COVID-19) : Home

This guide will help you learn how to access library resources during the COVID-19 disruption.
Divers Principles, Algorithm & An Approach To Data Mining: A Comparative View

Purpose: This paper proposes associate rule for data mining referred to as Ant-Miner (ant- colony-based information miner).Design/Methodology/Approach: This study compares the classification of algorithm accuracies, speed (CPU time consumed) and robustness for various datasets and their implementation techniques.Findings: The goal of Ant-Miner is to extract classification rules from the information. The rule is impressed by each kind of analysis on the behavior of real Emmet colonies and a few processing ideas additionally as principles. Classification is also an important topic in data mining analysis. Given a bunch of knowledge records, every of that belongs to a minimum of 1 amongst many predefined categories, the categorization downside cares with the invention of classification rules which is ready to allow records with unknown class membership to be properly classified. Several algorithms are developed to mine giant information sets for classification models which they’re effective. However, once it involves deciding the possibility of every classification created, several of them aren’t designed with such purpose in mind.
Behind the Screen: Content Moderation in the Shadows of Social Media

Each day, internet users post violent videos, threatening social media posts, and nonconsensual pornographic content. And, each day, most of it disappears. A combination of human and algorithmic la...
Promotion Of Science And Technology In Russian Network Media

The authors examined publications of the popular-science journals “Machines and Mechanisms” and “N+1” aimed at the mass reader. Both journals are polythematic and interdisciplinary oriented. The publication was taken as the unit of analysis, the theme and the genre of publication became the unit of account. The research showed investigated journals are the integral part of scientific knowledge popularization system and perform an important educational function, and play the role of responsible and ethical intermediaries between the scientific world and the audience. The choice of topics in popular science journals is dictated by the main tasks of publications: to present complex scientific topics in an accessible and entertaining way and to satisfy the information needs of the audience. There are data on the audience structure of examined journals and the strategies of scientific information promotion in Russian publications specific genres and formats. Media, existing in the web-space, provide new development opportunities for popular science journalism which are directly connected with the use of multimedia tools, as well as hypertext systems. A small number of publications that acquaint readers with modern scientists, especially Russian ones, can be considered as the disadvantage of journals. And it is just a direction that deserves attention because one of the key functions of popular science media is to popularize the activities of scientists as leaders of progressive knowledge.
Integrating Facial Recognitions and Short Messaging Service on Radio Frequency Identification for Improved Access Control System

Security of lives and properties is very paramount in our society, especially in Nigeria where insecurity has become a very big problem. In curbing insecurity problem, one has to employ various security strategies such as the use of an improved access control system also known as three Steps access control system which is achieved by integrating facial recognitions and short messaging services into radio frequency identification access control system. The primary goal of this study is on the integrating of facial recognitions and short messaging services on the existing Radio frequency identification tag (RFID Tag) access control system and to carry out a comparative analysis between the existing and the improved access control system by carrying out a physical test on which one is more reliable than the other using statistical method to realize the results for the comparative analysis. The one step access control system which is generally used consists of only the Radio frequency identification tag for its functionality. It was improved in this work by integrating facial recognition and short messaging services for more secured access control system also known as three steps access control with the advantage of face matching and short message services. The developed system and the existing one-step security system were physically tested and analyzed; the three-step access control system was proven to be more secured than the other through a comparative analysis carried out in ten days to ascertain which one is more secured. The one step access control is known for the use of only Radio frequency identification tag for gaining access into secured environment, while the improved system function with face matching technique and short messaging services which delivers one-time password (OTP) to the authorized personnel to access restricted area.
The Slow Query Log

In the days before it was possible to get query statistics from the Performance Schema, the slow query log was the main source of information to find queries that are candidates for optimization. Even today, the slow query log should not be completely dismissed. This chapter will look at how you can configure the slow query log, how the raw log events look, and how you can use the mysqldumpslow (mysqldumpslow.pl on Microsoft Windows) script to aggregate the log.
Global calibration method for non-overlapping cameras based on mobilephone screens in defocus scene

The global calibration of multi-camera vision systems with non-overlapping views has been widely studied. However, traditional global calibration methods that using planar targets with invariant relative positions are easily limited by the high cost of manufacturing high-precision large planar targets, and the difficulty of rigid connection between them. This paper proposes a low-cost and convenient global calibration method for non-overlapping multiple cameras using double mobile phone screens in defocus scene. During calibration, phase-shifting circular grating (PCG) arrays are displayed on the high-resolution mobile phone screens, and by phase-shifting methods, the PCG centers as feature points can be extracted accurately even if the phone is located at the defocus part of camera. Then the global calibration can be carried out based on the invariance of the relative positions between the two mobile phones. Experiment results show that this method is effective and has high accuracy.
Cloud Computing for Analysis on Digital Forensics Challenges

In the trendy life, there's a speedy increase within the usage of the technology.One reason of increasing the technology is usage of cloud.The mobile devices or any other technological devices mainly depend on cloud.The cloud can be accessible from anywhere.Cloud rhetorical method had introduced to assist the investigators to search out the proof once the criminal attacks the cloud and to take care of the integrity and security for the information keep within the cloud.The increasing within the criminal attacks in cloud, created the investigators to search out the most recent ways for the rhetorical investigation method.equally within the same means the criminals additionally discover new ways that to cover the supply of evidences.This causes harm to the investigation method and is named anti-forensics.to cover the sources antiforensic techniques area unit used and analysis should be done against the anti-forensics techniques in cloud surroundings.during this paper we have a tendency to targeted chiefly on careful study on numerous challenges in cloud rhetorical and anti-forensic techniques.
A Comparative Study Of Co-Occurrence Strategies for Building A Cross-Domain Sentiment Thesaurus

With the evolution of user-based web content, people naturally and freely share their opinion in numerous domains. However, this would result in a massive cost to label training data for many domains and prevent us from taking advantage of the shared information across-domains. As a result, cross-domain sentiment analysis is a challenging NLP task due to feature and polarity divergence. To build a sentiment sensitive thesaurus that to group different features that express the same sentiments for cross-domain sentiment classification, different co-occurrence measures are used. This paper presents a comparative study covering different co-occurrence methods for building a cross-domain sentiment thesaurus. This work also defines a Bidirectional Conditional Probability (BCP) to handle the unsymmetrical co-occurrence problem. Two machine learning classifiers (Naive Bayes (NB) and Support Vector Machine (SVM)) and three feature selection methods (Information gain, Odd ratio, Chi-square) are used to evaluate the proposed model. Experimental results show that BCP results outperform four baseline co-occurrence calculation methods (PMI, PMI-square, EMI, and G-means) in the task of cross-domain sentiment analysis.
Caracterização de sistemas operacionais móveis celulares: Android, Symbian, iphone e Windows phone

The present theme refers to the characterization of cellular mobile operating systems: Android, Symbian, iPhone, Windows Phone. To present which of the cellular mobile operating systems, is the most secure and the most susceptible to computer viruses, the qualitative methodology based on the bibliographic reference, data collected in books, technical manuals, manufacturer information and on internet sites; to the analysis of the documentary data, done in tables. However, it is concluded that not all types of computer viruses infect cell phones, it depends on the kernel of the operating system. It was possible to know that Symbian is the operating system most prone to contamination of computer viruses, this operating system is made of a C ++ programming language coming from the C language one of the most popular and has many developers. Android is a mobile operating system, not so secure, based on the kernel of Linux, being free software allows more number of developers of the technology. Windows phone is the least susceptible to virtual pests. And Microsoft has invested heavily in their security system, restricted access to the app store to prevent the user from downloading programs out of the market, since every day are placed numerous applications. Bluetooth technology represents a major form of virus transmission.
DDL and Bulk Data Load

From time to time, it is necessary to perform schema changes or to import large amount of data into a table. This may be to accommodate a new feature, restore a backup, import data generated by a third-party process, or similar. While the raw disk write performance is naturally very important, there are also several things you can do on the MySQL side to improve the performance of these operations. This chapter starts out discussing schema changes and then moves on to some general considerations around loading data. These considerations also apply when you insert single rows at a time. The rest of the chapter covers how to improve the data load performance from inserting in primary key order, how the buffer pool and secondary indexes impact performance, configuration, and tweaking the statements themselves. Finally, the parallel import feature of MySQL Shell is demonstrated.
Geostatistical Analysis of Mineral Deposit Associations using Soil, Stream Sediment, and Vein Geochemical Data from Kaiama, Northcentral Nigeria

The application of geostatistics to data obtained from mineral prospecting can provide useful information for evaluating mineralization potential.The objectives of this study were to evaluate the spatial distribution of elements, establish relationships and understand chemical associations during mineral paragenesis in the studied area of Kaiama, Northcentral Nigeria.Major Oxide and Trace element analysis were carried out on 17 samples collected from three geologic media which are stream sediments, soils, and veins.The Geochemical results were subjected to multivariate statistical treatments in the form of correlation matrix (CM), Factor analysis (PCA), along with hierarchical cluster analysis (HCA) in order to classify the elements into groups that may signify common origin.All multivariate statistical tests were performed using SPSS (PASW Statistics 18) for Windows.The trace element geochemical composition shows significant anomalous concentration of Sn, W, Ta, Ti, and Fe.Au, Cu shows moderate to very high correlation.Areas of significant anomalous concentration were in the 2-4 km eastern outskirt of Kaiama and as well as 6-10 km south of Kaiama.Sn-W were more to the eastern outskirt while Sn-Ta were more in the southern part of Kaiama.All other trace elements V, Ni, Sr, Sb, Cd etc. shows low concentration with each other and are not significant in the mineralization of Kaiama.Further exploration work should be concentrated on soils and stream sediments towards delineating the possible ore deposit in the area of Kaiama and environs.
Content-Based Origins for the Web

Making content available to clients that are unable or unwilling tocontact a web origin enables new means of acquiring content. Thisdocument describes a method for taking application state accumulatedby an offline user agent in relation to a piece of content and makingthat state available in a fully online context. This enablescontinuous use of content, starting from a state where the user agentdoes not contact an origin and ending with This document proposes anupdate to the definition of Origin in RFC 6454. It also proposeschanges that would affect HTML, which is outside of the remit of theIETF.
LibGuides: UL Library Systems, Applications and Online Services: Library Quick Search

A guide on how to access and utilise UL Library Systems, Applications and electronic resources
Indian traffic signboard recognition and driver alert system using cnn

Traffic signs acknowledgment (TSR) is a significant piece of some propelled driver-help frameworks (ADASs) and auto driving frameworks (ADSs). As the main key advance of TSR, traffic sign recognition (TSD) is a difficult issue on account of various sorts, little sizes, complex driving scenes, and impediments. Lately, there have been countless TSD calculations dependent on machine vision and example acknowledgment. Right now, far reaching audit of the writing on TSD is introduced. We partition the identification techniques into two primary classes: sign based strategies, shape-based techniques. The proposed strategy is extensively isolated into, information preparing, information arrangement, preparing and testing. Framework utilizes assortment of picture handling systems to improve the picture quality and to evacuate non-educational pixel, and identifying edges. Highlight extractors are utilized to discover the highlights of picture. Propelled AI calculation Convolutional Neural Networks (CNN) is utilized to group the diverse traffic sign pictures dependent on their highlights by utilizing the continuous camera
Scintilla for dancer, clarinet and live electronics

Scintilla is a multimedia performance for dance, clarinet and live electronics. Liz Dilnot Johnson’s Scintilla is an ever-evolving work, a layering of music, dance, and poetry that reflects richly on human isolation – and ways to overcome it.
User Management and Securing Databases

In the last chapter, we talked about configuring a PostgreSQL database for a better performance, which includes tuning of several database-related parameters based on their behavior and also about operating system-related parameters that help to improve performance. In this chapter, we are going to talk about user management in PostgreSQL and securing databases by managing user privileges. We will also cover different types of privileges at object level and how we can best plan to utilize those granular level privileges to secure the databases, and different types of encryption techniques that you can use to secure your data.
Solution- Architecture in ASP.Net Core

In software development process, the development team should focus on business development solutions not on technical issues.This means that in order to increase the developers' productivity, they must be assisted to focus only on how to implement business issues.This can be achieved by building a good solution in maintainable and reliable architecture to avoid any critical problems.This paper presents proposed solution architecture in ASP.Net Core that can handle the business logic of multiple domains for the same organization in one technical solution.This solution uses multiple design patterns such as Repository, Unit of Work, and Inversion of Controls, to solve common problems that face developers and help them to increase business productivity.Also, this solution provides an easy way to integrate and facilitate the communication between domains.This solution leverages some characteristics from Microservices architecture and Domain-Driven Design approach.Also, it includes some features to fit the problem solution, and handles some common technical issues such as authentication, authorization, caching, exception, tracing, etc.The paper also presents a simple case study to show how the proposed solution architecture enables multiple domains to interact with each other to serve organization business needs.
Color and Object Appearance in Augmented Reality

This presentation will summarize recent work on the visual perception of color appearance and object properties in optical see-through (OST) augmented reality (AR) systems. OST systems, such as Microsoft HoloLens, use a see- through display system to superimpose virtual content onto a user’s view of the real world. With careful tracking of both display and world coordinates, synthetic objects can be added to the real world, and real objects can be manipulated via synthetic overlays. Ongoing research studies how the combination of real and virtual stimuli are perceived and how users’ visual adaptation is affected; two specific examples will be explained.
Cooperative Multi-Vehicle Circumnavigation and Tracking of a Mobile Target

A multi-vehicle system is composed of interconnected vehicles coordinated to complete a certain task. When controlling such systems, the aim is to obtain a coordinated behaviour through local inter ...
Genetic algorithm for machine learning architecture selection for breast MRI classification

Convolutional neural networks (CNN) are increasingly used for image classification tasks. In general, the architectures of these networks are set ad hoc with little justification for selecting various components, such as the number of layers, layer depth, and convolution settings. In this work, we develop a structured approach to explore and select architectures that provide optimal classification performance. This was developed with an IRB-approved data set with 9,216 2-D maximum intensity projection (MIP) MRI breast images, containing breast cancer malignant or benign classes. This data set was divided into 7,372 training, 922 validation, and 922 test images. The architecture search method employs a genetic algorithm to find optimal ResNet-based classification architectures through crossover and mutation. Each generation, new model architectures are created from the genetic algorithm and trained with supervised machine learning. This search method identifies the model with the highest area under the ROC curve (AUC). The genetic algorithm produced an optimal model architecture which classifies malignancy in images with 76% accuracy and achieves an AUC score of .83. This approach offers a rational framework for automatic architecture exploration, potentially leading to a set of more efficient and generalizable CNN-based classifiers.