Reviewerly/exHarmony huggingface dataset:
Development of an AI Ecosystem for AR Applications Within Aerospace

The purpose of this paper is to develop an Artificial Intelligence (AI) ecosystem, to effectively introduce a dynamic approach for Augmented Reality (AR) based instruction modules through predictive machine learning algorithms. The main applications explored are the manufacturing and maintenance sectors within the Aerospace industry. This paper explores the possibility of implementing an innovative process of integrating efficient data handling methodologies and machine learning techniques through a micro-level coordinate system approach. ML algorithms which are expected to have high prediction accuracies have been analyzed and a proof of concept prototype has been developed with a selected algorithm. There are various applications within AR based manufacturing/maintenance instructions in the Aerospace industry, the use cases span from aircraft part manufacturing &amp; maintenance, CAD modelling, part assembly and routine maintenance within the International Space Station (ISS). The research study in this thesis looks to optimize the current AR model-based animation techniques by incorporating AI methodologies throughout the overall process. The current techniques include: Using 3D image information from calibration markers, Teleconference setting for improved communication and Mobile viewing &amp; prototyping unknown surfaces using the HoloLens. This paper proposes an innovative methodology that current techniques can adapt to improve efficiencies and capabilities
Design and evaluation on interface for screen operation for supporting practical training using ICT in elementary and secondary education

In this paper, we proposed and designed the interface for screen operation to satisfy some requirements for supporting the practical training using ICT in elementary and secondary education. Further, we conducted the actual practical training using ICT by using the proposed interface for screen operation, and evaluated the effect of the interface for screen operation. From these results, we confirmed the increase in communication between a teacher and students, as compared to conventional practical training, and showed the effectiveness of the interface for screen operation. In addition, we proposed a pointing operation method to make the natural arm condition conscious and evaluated the interface for screen operation by trial use in the simulated practical training by some teachers. As a result, we showed that it has a high possibility of reducing tiredness in practical training than other interfaces even when used for a long time.
Make Use of a Volunteer Project Activity Template

The Volunteer Management ReportVolume 25, Issue 1 p. 5-5 Useful Tools Make Use of a Volunteer Project Activity Template First published: 11 December 2019 https://doi.org/10.1002/vmr.31345Read the full textAboutPDF ToolsRequest permissionExport 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. Volume25, Issue1January 2020Pages 5-5 RelatedInformation
Chapter 14: Model-Based Clustering Algorithms

Model-based clustering is a major approach to clustering analysis. This chapter introduces model-based clustering algorithms. First, we present an overview of model-based clustering. Then we introduce Gaussian mixture models, model-based agglomerative hierarchical clustering, and the expectation-maximization (EM) algorithm. Finally, we introduce model-based clustering and two model-based clustering algorithms.
An Observation and Experimental Evaluation of Image Spam Detection

In belonging to other supports duel beside researchers of image spam detections, unsolicited mail have newly developed the image based spam dodge to construct the investigation of e-mails’ content of text unsuccessful. To avoid signature based recognition, it involves in implanting the unsolicited text or message into an appendage image, which is frequently arbitrarily customized. Identifying image based spam emails tries out to be an motivating illustration of the problem text embedded in images were subjected to noise such as background pattern, color, font variations and imperfections in a font size so as to eliminate the chances of being identified as unsolicited e-mail by classification techniques. In this research paper we spring a exhaustive review and categorization of machine learning and classification systems suggested so far in contradiction of image based spam email, and make an empirical investigation and correlation of few of them on real, widely accessible data sets.
Performance Analysis of a Selective Encryption Algorithm for securing Text data over Mobile Ad hoc networks

In recent era security is very much desired for the messages transmitted through the network. The study shows that, even though many approaches have been proposed towards security till date, still the security loopholes also emerging, so constant advancement is crucial for data security. Since all nodes in the network work together as a team to transmit the data, the network may prone to active or passive attacks such as Eavesdropping, Jamming, traffic analysis, Denial of Service, monitoring etc. The research paper introduces a new selective encryption method termed as Selective Significant Data Encryption (SSDE). The SSDE presents adequate protection to the data encryption process by picking up only the significant content from the complete message by referring Natural Language Processing (NLP). As a result, the encryption time overhead will get reduced, and overall performance will improve. Symmetric key algorithms are generally proficient and quick cryptosystem compared to other techniques, so Blowfish system is used for encryption/decryption process. The proposed research work is compared with many conventional methods and found that this approach is more superior to other traditional means.
Renewable Energy

Renewable energyRenewable energy sources are available in any part of the globe in different or combined forms that need attention for refined potentiality calculation methodologies.
Color-code Strategy for Improving Writing Academic Paragraphs in EFL Classes

In this semi quantitative study, the respondents were EFL students in Koya University, Faculty of education, and department of English Language. The aim was to inspect and scrutinize the effect of color-code strategy on their proficiency regarding writing academic paragraphs. They were 60 freshmen students who were studying in their first year levels. Both male and female participants were enrolled in two writing tests about writing descriptive paragraphs. The tests were conducted in the department, during studying writing skills subject in the second semester, and then their writings were analyzed using a rubric. Later, using Independent Samples t-test, the results were processed into numerical datum. The conclusion is that, color-coding strategy has impact on student's advancement in writing a well-structured paragraph in the post-test. Furthermore, students wrote their second paragraph with correct structure and organization. Therefore, the final results maintain that color-code strategy is a beneficial didactical mechanism to be used in the field of EFL and ESL teaching particularly in writing skills courses.
Prediction of Fraud App Detection Techniques

The use of mobile has increased a lot in day to day life. In this advance technology new apps are been discovered a lot and these apps are available in many app markets. The app market contains a lot of similar apps in it and we confuse as which is the apt one to use. The apps some are useful and some are fraud. The detecting fraud app helps user to easily identify the real one and download it. The revelation of fraud app through analysis of review, rating and ranking using datamining technique. The analysis of the app using sentiment analysis technique i.e. a datamining technique used to analyse the sentiment of the reviews. The analysis of the review predicts the positive and negative rating apps separately. The classification score to extract rating and ranking evidences is given with fuzzy score classification. The main objective of this paper is to survey on different techniques and methodology used for detecting fraud apps.
Network Forensics

Network Forensics is a sub-branch of cyber forensics that revolves around examining networking-related digital evidence. It involves monitoring, recording, analyzing, and interpreting network traffic.
A Swarm Intelligence Based Weighted Feature Extraction and Classification using SVM for Sentimental Exploration

The goal of Sentiment Exploration (SE) is used for mining the accurate sentiments which are very beneficial for businesses, governments, and individuals, the opinions, recommendations, ratings, and feedbacks are becoming an important aspect in present scenarios. The proposed methodology likewise attempts to introduce a swarm intelligence based sentimental supervised methodology. In order to obtain a relevant feature data set from a large number of data samples, this method used particle swarm optimization to attain the utmost optimum feature set. The evaluation of the optimum feature set is obtained by means of using Minimum Redundancy and Maximum Relevancy measure as the fitness function. The categorization of the extracted feature set is accomplished with the Support Vector Machine classification technique. The experimental outcome for the suggested method is evaluated using four performance measure like precision, recall, accuracy, and f-measure and showed that proposed swarm intelligent based classification method has better performance using IMDB, Movie Lens and Trip Advisor Data Samples.
Integrative Model for Enhancing Students' Competencies and the Quality of Educational Services

The active introduction of digital technologies leaves its mark on all spheres of life, as well as on the modern education system, in particular, the need to improve the quality of educational services forces us to look for new teaching methods. The opportunities provided by modern science to the young generation of teachers, in close interconnection with the accumulated experience of traditional teaching systems, make it possible to significantly increase both the effectiveness and quality of training and the competence of students. The rhythm and dynamics of modern life necessitate the search for new approaches to traditional paradigms in enlightenment. The capabilities of the digital age technologies make it possible to implement such training schemes that were simply impossible with traditional approaches. A flexible approach and a modular structure allow you to quickly adapt any training course to any needs, adding and updating outdated information at no particular cost. Combined training systems fully realize all the advantages of distance learning, which can significantly expand the geographical and time frames, making any course truly universal.
Metrical Particularity

This chapter focuses on the flexible and complex operation of meter. The meter signature indicates a grouping of equal beats that is often repeated in the course of the piece; and there may be situations in which such beats can be felt even when they are not explicitly articulated. In many cases, one can, and often do, count pulses or beat time without consulting the notation. The notated or felt bar thus seems to be a privileged measure. Typically, the duration of the bar accommodates a comfortable projective potential. Although the bar is often a favorable environment for projection, projection itself is not limited to the bar and does not require a homogeneous train of pulses. If meter is identified with projection, there will be no reason to identify meter with bar or to presuppose an invariant procession of equal beats. In this case, the rhythmic particularity of a bar will be inseparable from its metrical particularity. And each measure or each metrical unit could be viewed as a unique projective situation in which uniqueness or particularity arises both from the measure's internal constitution and from its assimilation of prior events.
Genuine high-dimensional quantum steering

High-dimensional entanglement can give rise to stronger forms of nonlocal correlations compared to qubit systems. Beyond being of fundamental interest, this offers significant advantages for quantum information processing. The problem of certifying these stronger correlations, however, remains an important challenge. Here we theoretically formalise and experimentally demonstrate a notion of genuine high-dimensional quantum steering. We show that high-dimensional entanglement combined with judiciously chosen local measurements can lead to a stronger form of steering, provably impossible to obtain via entanglement in lower dimensions. Exploiting the connection between steering and incompatibility of quantum measurements, we derive two-setting inequalities for certifying the presence of genuine high-dimensional steering. We report the experimental violation of these inequalities using macro-pixel photon-pair entanglement certifying genuine high-dimensional steering in dimensions up to 15.
Simulation

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
RUMAH SEHAT DAN RAMAH GEMPA DI KABUPATEN SAMOSIR

Samosir Regency does not yet have a habitable residence because of limited income, so many of the people live in the villages. In addition, the Samosir region is also an earthquake prone area. Researchers aim is to create livable houses that are able to meet the health requirements and meets the need of resident in Samosir Regency. The design also requires special research on healthy and earthquake-friendly house. The method that will be used in this design are 6 (six) steps, namely ideas / ideas, information, analysis, synthesis, evaluation, and action. Based on the results of the analysis that has been carried out, the use of red brick with a continuous foundation of river stone is the choice of a good structure for earthquake-friendly homes in Samosir district. This residential modeling also included the social elements of Batak Toba culture into it so that this housing could only be applied in the Samosir Regency area.
“The New Integral Transform “Soham Transform”

ABSTRACT: In this paper a new integral transform namely Soham transform is developed and applied to solve linear ordinary differential equations with constant coefficients.
Towards designing quantum reversible 32-bit MIPS register file

Reversible circuit design can be applied in various emerging technologies such as quantum computing. Since researchers have proposed many building blocks and designed small circuits (e.g., reversible full adder) already, it is the time to design large-scale reversible circuits. This paper proposes a novel quantum reversible 32-bit MIPS register file for quantum computer processors. It presents a reversible 5-to-32 decoder, 32 reversible buffer registers, and two reversible 32-to-1 multiplexers, too. The proposed reversible decoder block, namely GH-DEC, and the proposed reversible multiplexer block, namely GH-MUX, use the Feynman, Toffoli, and Fredkin gates. They have been designed by a minimum number of constant inputs, number of garbage outputs, and quantum cost. Besides, output expressions of all the circuits are simplified to enhance the performance of proposed quantum design, considerably. Comparison results show that the proposed reversible design surpasses the existing works in terms of the number of constant inputs, number of garbage outputs, and quantum cost.
Energetic Surface Instruct for Faceted Result Finding Engines

Faceted reading is huge made use of in net electric powered poweredpowered shops and moreover subjects courting locations. In the ones situations, a corporation organized run-thru of additives is usually performed. This approach recollections 2 crucial issues. Initial, one want to feature a number one amount of your opportunity to devise a suitable study. Second, with a enterprise corporation corporation evaluate of additives it's going to in truth upward push up that a component ultimately ultimately subsequently ends up useless if all inventory that art work with the questions square motion regarding it percentage element. Amidst this art work, we're capable of actually as an entire actual blessing a form for dynamic factor requesting in internet enterprise business enterprise organization. Supported measures for explicitness and spreading of detail top competencies, the clearly programmed mathematical software software settings those residential or organization company houses and factors on immoderate that trouble a brief penetrate down for any form of possible intention item. In credentials to modern-day setups, the device has a dishonest to internet corporation particular perspectives, just like the possibility of countless snaps, the gathering of additives through their comparing homes, similarly to due to this the wealth of numeric elements. Amidst a whole scale challenge in addition to customer check out, our method become, altogether, in reality contrasted with a trouble evaluation made via vicinity experts, an insatiable method as pattern, in addition to a colorful entropy-based totally surely clearly in fact goals.
GF-5 AHSI新疆东天山高光谱数据地质精细特征分类图

GF-5 is the world's first full-spectrum hyperspectral satellite to achieve comprehensive observations of the atmosphere and land.The visible short-wave infrared hyperspectral camera(AHSI)mounted on GF-5 is the world's first wide-spectrum wide-swath spaceborne hyperspectral imaging payload with independent intellectual property.The cover image shows the geological feature classification map of hyperspectral data of layers and rock masses in East Tianshan in Hami,Xinjiang,which was acquired by AHSI on March 20,2019.
Framework Towards Decentralized Autonomous Space

In this presentation, we introduce the concept of Decentralized Autonomous Space, where agents of human and self-owning machines come together and are governed through a blockchain-enabled decentralized system. The research focuses on the governance aspects of such a space, meaning the decision-making and value allocation processes. Then the proof-of-concept prototype is described. The prototype is designed to be a single-person, soler-powered, and self-owning meditation space. The technical feasibility of the space is established through a preliminary electronic system that is connected and autonomously broadcast to the blockchain. Users can interact with the space by connecting crypto wallets. Ultimately, this research explores the possibility of the coordination of mixed-agent communities and the possibility to improve system efficiency and social equity through introducing non-rent seeking digital infrastructures and decentralized governance systems.
Tensors

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The 4th International Conference on Advanced Technology & Applied Sciences (ICaTAS’2019)

The Arab Academy for Science, Technology &amp; Maritime Transport (AASTMT) and Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM) will jointly organize the fourth International conference on Advanced Technology and Applied Sciences (ICaTAS 2019), September 2019. The conference will be held at AASTMT, Egypt. The conference will highlight recent and significant advances in research and development in advanced technology, applied sciences, and interdisciplinary works. Encouraging young researcher from multi-discipline engineering background to share their new and innovative ideas and/or findings will be the aim of the conference. With participation of a large number of young researchers, it can be a platform for new collaborative ventures and strategic alliances to gain better insights into engineering research and technology innovation to harness the strength and synergies to bring further prosperity to the nations. As the future becomes more competitive and challenging, it is important to remain relevant and maintain the performance for continuous improvement in research &amp; education. As such, this conference will be most significant as we explore and share ideas to further enhance our research. List of Organizing Committee Honor Chairs, General Chairs, General Co-chairs, Program Chairs, Organization Chairs, Publication Chairs, Publicity Chairs, Finance, logos are available in this pdf
TOC

The Career Development QuarterlyVolume 67, Issue 3 p. 187-187 Issue InformationFree Access TOC First published: 02 September 2019 https://doi.org/10.1002/cdq.12189AboutPDF ToolsRequest permissionExport 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 Volume67, Issue3September 2019Pages 187-187 RelatedInformation
Preparation of Methodological Systematic Reviews in Nutrition Science: A Didactic Guide

Nutrition Today: 11/12 2021 - Volume 56 - Issue 6 - p E10-E11 doi: 10.1097/NT.0000000000000518
Russian world: from the past to the present and future

On the results of the International Scientific and Practical Conference “Russian World: the Dynamics of Scientific Knowledge”, held October 23–25, 2019 at the National Research Nizhny Novgorod State University named after N.I. Lobachevsky (Arzamas branch of NNSU).