Reviewerly/exHarmony huggingface dataset:
Mobile Augmented Reality Application Supporting Building Facades Visualization

The use of mobile devices such as smartphones still increases over last years.Smartphone hardware capabilities are comparable with average personal computers.Thanks to the increasing computing power, their application is focused on more and more sophisticated and complex tasks.These includes among others augmented reality (AR) applications, which support precise GNSS localization and use signals from such devices like accelerometer or gyrocsope.They are able to create interactive, immersive real-time visualisation of any kind.The article presents a prototype Mobile Augmented Reality (MAR) Application for visualization of the building facades.It allows to support the original look of the building with the additional information from database.Software of this kind, can be used for overviewing, inspecting or work planning carried out on the facade of the building.As a part of the test, a prototype of the MAR application for Android has been prepared.Rest of the solution components have been presented in form of a concept, implementation of which is planned in near future.Basic technical assumptions are already developed, but details may change.The paper mentions also some important AR problems, especially positioning in urban environment and accurate registration of digital objects in the real world.
Detection and Annotation of Events in Kannada

In this paper, we provide the basic guidelines towards the detection and linguistic analysis of events in Kannada. Kannada is a morphologically rich, resource poor Dravidian language spoken in southern India. As most information retrieval and extraction tasks are resource intensive, very little work has been done on Kannada NLP, with almost no efforts in discourse analysis and dataset creation for representing events or other semantic annotations in the text. In this paper, we linguistically analyze what constitutes an event in this language, the challenges faced with discourse level annotation and representation due to the rich derivational morphology of the language that allows free word order, numerous multi-word expressions, adverbial participle constructions and constraints on subject-verb relations. Therefore, this paper is one of the first attempts at a large scale discourse level annotation for Kannada, which can be used for semantic annotation and corpus development for other tasks in the language.
THE EFFECT OF INSIDE-OUTSIDE CIRCLE (IOC) TECHNIQUE ON STUDENTS’ SPEAKING ABILITY AT SMA NEGERI 1 KABANGKA

The purpose of conducting this research was to examine the effect of Inside-Outside Circle technique on students’ speaking ability at SMA Negeri 1 Kabangka. The population of this research was all the second grade students of SMA Negeri 1 Kabangka which consisted of five classes while the sample of this research was the second grade science program two (XI IPA2) which consisted of 24 students. This research was conducted in pre-experimental research design. The data of this research were collected by giving pre-test and post-test to students. The data was analyzed by using SPSS 16.0 version (descriptive analysis and inferential statistics). Descriptive analysis was used to describe the maximum scores, minimum scores, mean score and standard deviation while the inferential statistic was used to examine the hypothesis. The result showed that there was an improvement of the students’ speaking ability. It can be seen from the mean score of post-test was 52.89, while the mean score of pre-test was 29.45. In order to prove the hypothesis, the researcher took the conclusion by comparing between the values of Sig (2 tailed) with the significance α value. It showed that the value of Sig (2 tailed) was 0.000 while the significance α value was 0.05. Therefore, it can be concluded that the value of Sig (2 tailed) was lower than the significance α value (0.000 &lt; 0.05). In other words, the alternative hypothesis (H1) was accepted. It was meant that Inside-Outside Circle had a significant effect on students’ speaking ability at SMA Negeri 1 Kabangka.
A New Cooperative Insurance Based On Blockchain Technology: Six Simulations To Evaluate The Model

The paper suggests a model of smart insurance using blockchain technology, which means; adding more transparency, security and rapidity to the services provided by insurance companies. Our model also combines Fintech to Takaful, which is an ethic insurance made of cooperation and solidarity. The idea of this paper is to simulate what we called “smart insurance”, in the software of multi-agent based simulation Netlogo. For this purpose, we are modeling a complex environment made by conventional companies and smart companies, having each specific characteristics, but also policyholders, as dynamic agents able to choose from the alternatives available in the market, according to a weighted decision making matrix. The weights depend on the agent’s type and coefficients are changing over time. We also take into consideration the fact that policyholders are partially influenced by each other and that a loyalty factor comes into play. More than that, we assume that companies evolve in a context of competition. Actually, it is an improved model, more realistic than a previous work in which we explained in details the suggested insurance model, but simulate only a basic scenario; some aspects were neglected for reasons of simplicity. In this paper, we simulate six different scenarios to evaluate the effect of many factors such as imitation, loyalty and competition, and get more reliable results.
Penerapan Algoritma Hill Cipher Dan Least Significant Bit (LSB) Untuk Pengamanan Pesan Pada Citra Digital

Nowadays people exchange information in digital media such as text, audio, video and imagery. The development of Information and Communication makes the delivery of information and data more efficient. Current developments in technology which are very significant have an impact on the community in exchanging information and communicating. Confidential hidden data can also be in the form of image, audio, text, or video. The Hill Chiper algorithm uses a matrix of size m x m as a key for encryption and decryption. One way to recover the original text is of course to guess the decryption key, so the process of guessing the decryption key must be difficult. break ciphertext into palintext without knowing which key to use. The LSB part that is converted to the value of the message to be inserted. After affixing a secret message, each pixel is rebuilt into a whole image that resembles the original image media. The Hill Cipher algorithm is used to determine the position of the plaintext encryption into a random ciphertext. 2. Testing text messages using the hill cipher algorithm successfully carried out in accordance with the flow or the steps so as to produce a ciphertext in the form of randomization of the letters of the alphabet.
Decision Support Systems Selection Of The Best Teachers With The Composite Performance Index Method Approach

The development of Information Technology has a huge impact on various aspects of life, ranging from government, administration, economics, and education. Regarding the issue of education in particular, the use of information technology will bring very good changes in the education system that will be developed to be delivered. With the existence of computer technology as a support in the transmission of data and information has become the needs of all humans, so that information information needed can be obtained quickly and accurately. In fact, one of the most important factors in the problem of information technology is network problems or media access that become a bridge between learning resources and those involved in the learning process. The Teacher Performance Assessment process in the Composite Performance index (CPI) method is very good in developing the level of knowledge in ordinary people, so that the utilization of information technology can be maximally useful at every level of society.&#x0D;
Determination of Idiomatic Sentences in Paragraphs Using Statement Classification and Generalization of Grammar Rules

The translation systems are often not able to determine the presence of an idiom in a given paragraph. Due to this many systems tend to return the word-for-word translation of such statements leading to loss in the flavor of the idioms in the paragraph. This paper suggests a novel approach to efficiently determine probability of any statement in a given English paragraph to be an idiom. This approach combines the rule-based generalization of idioms in English language and classification of statements based on the context to determine the idioms in the sentence. The context based classification method can be used further for determination of idioms in regional Indian languages such as Marathi, Konkani and Hindi as the difference in the semantic context of the proverb as compared to the context in a paragraph is also evident in these other languages.
Researchers and scientific communication networks in the digital age and academic capitalism. Review of the monograph S. A. Dushina, V. A. Kupriyanov, T. Ju. Khvatova «Uchenye v setyakh “otkrytoi nauki”» [Scientists in the Networks of “Open Science”]

The widespread adoption of digital technologies over the past decades has an increasingly significant impact on the academic environment. The book of S. A. Dushina, V. A. Kupriyanova, T. Yu. Khvatova «Scientists in the networks of “open science”» offers a comprehensive view of the problems of changes in the internal structure of modern science, the system of scientific communications and the place of the researcher in them. Combining the methods of informational, economic, sociological, historical, philosophical research in the monograph, the authors build a complex picture of both the prospects that open up for science as a whole, scientific communities and individual researchers of new opportunities, and new challenges that arise. Starting with the historical part which describes the formation of a system of scientific communication in Europe in the 17th century, the authors then proceed to the analysis of the modern system of knowledge exchange, highlighting its most significant components. Then, based on the analysis of the most significant concepts and their own empirical research, the authors form their understanding of the phenomenon ofa scientific career, analyzing not only cases of successful careers, but also the problem of “broken” careers, especially at the bottom of the career ladder. As a result, a complex but whole picture of developmental dynamics within scientific communications in the past and their features at the present stage of technological development appears before the reader’s eyes.
APPLICATIONS OF SOCIAL MEDIA TO LEARN SPEAKING

Abstract. Applications of Social Media to Learn Speaking. Social media is not a new things for the students right now. Many young generations that uses social media as the media to learn English, especially speaking. Generally, many applications in social media, as Youtube, Instagram, Facebook, Whatsapp, Telegram, Twitter, and so on that can be used by user to interact about all things in everywhere and everytime. Beside that, social media also has special applications to learn speaking, they are (1) Learn to Speak English with Busuu, (2)Hello English, (3) Learn English Daily, (4) Learn English Grammar Quickly, (5) English Listening and Speaking, (6) English Conversation Practice, (7) Memrise, (8) Duolingo, (9) ABA English, (10) Rosetta Stone, (11) Hello English Kids, (12) Voxy, (13) Basic English for Beginers, (14) Learn English. Speak English, and (15) Listen and Speak.
EVALUASI USER EXPERIENCE DENGAN PENDEKATAN USABILITY TESTING PADA SISTEM INFORMASI SMART ACADEMIC

Smart Academic is an information system used by administrative staff to manage administrative activities from upstream to downstream related to academia starting from the pre-lecture process such as Her-Registration of new students, filling in Study Plan Cards, and class division during the lecture process such as semester exams as well as the assessment process of each course, then proceed with administrative processing for the graduation until the graduation process, so that Smart Academic becomes a critical information system for the University if a failure occurs, it will hamper the lecture process which means the system cannot fulfill its objectives.This study evaluates the Smart Academic Information System through user experience with 8 respondents using the Usability Testing approach.This study examines user experience based on the Nielsen Heuristic method, namely Visibility of System, Match Between System and The Real World, User Control and Freedom, Consistency and standards, Preventive error system, Recognition Rather Than Recall, Flexibility and Efficiency, Aesthetic and Minimalist Design, Help User Recognize dialogue, and recovers from error, and Help and Documentation.Studies prove that of the 10 Nielsen Heuristic variables, 4 variables have poor Usability values, namely the Consistency and standards variable, Preventive error system, Aesthetic and Minimalist Design, and Help and Documentation
Research on Spatial Database Technology Based on Arcsde

At present, there are some problems in database technology, such as low sharing of data, poor security of data, and frequent data leakage. Data bottlenecks are also a big constraint. In order to satisfy the user's needs to edit, manage and store the data, it is necessary to replicate the data to improve the accessibility of data. This paper expounds the design and implementation of related technologies, and hopes to offer some help to perfect these technologies.
An Evaluation of Postfiltering for Deep Learning Based Speech Synthesis with Limited Data

Recently, deep neural network (DNN) based speech synthesis achieved close to human speech quality and became the state-of-the art in the field of text-to-speech (TTS) synthesis systems. However, a major part of its efficiency comes from the use of large quantity of high-quality speech recordings. When this data is not available, other approaches are still preferred.This paper evaluates the DNN-based postfiltering of the synthesised speech as a means to increase the quality of DNN-based TTS systems trained on very limited speech resources. 20 different systems are compared objectively using the Mel Cepstral Distortion measure. The systems differ in terms of: training data, network architecture, and training method. Out of the 20 initial systems, 7 are evaluated subjectively in listening tests performed for two different speakers. Results show that even when starting from as little as 5 minutes of speech recordings, the postfiltering process improves the quality of the synthetic speech output. So it can, therefore, be used as a training strategy for TTS systems where sufficient high-quality data is not available.
The Correlation between Controllers’ Aviation Knowledge, Listening Comprehension, and IELP at JATSC

The aim of this research is to find the correlation between controllers’ aviation knowledge mastery, listening comprehension and ICAO English Language Proficiency (IELP) at Jakarta Air Traffic Services Centre (JATSC). This research focused on controllers as the homogeneity respondent hence the random sampling was the suitable way to get the data. Respondents were selected without taking account of anything. The researcher used quantitative approach method to carry on the project because it was believed that the data would be numerical thing. Meanwhile variable instrument that researcher deployed namely a test. The test itself provided for respondents was implemented into three items. Having got the data after finalising the test, it was analysed by using Product Moment Correlation. The data then was calculated using that method and the result was r calculation 0.371535165 and it was higher than 0.349 and it meant that there was correlation between controllers’ aviation knowledge mastery, listening comprehension and IELP.
Malware in the SGX supply chain: Be careful when signing enclaves!

Malware attacks are a significant part of the new software security threats detected each year. Intel Software Guard Extensions (SGX) are a set of hardware instructions introduced by Intel in their recent lines of processors that are intended to provide a secure execution environment for user-developed applications. To our knowledge, there was no serious attempt yet to overcome the SGX protection by exploiting the weaknesses in the software supply chain infrastructure, namely at the level of the development, build or signing servers. While SGX protection does not specifically take into consideration such threats, we show in the current paper that a simple malware attack exploiting a separation between the build and signing processes can have a serious damaging impact, practically nullifying SGX integrity protection measures. We also explore two possible mitigations against the attack, one centralized leveraging SGX itself, and one distributed that relies on a smart contract deployed on a blockchain infrastructure. Our evaluation shows that both methods are feasible in practice and their added costs are acceptable for the offered protection.
Are Automatic Bug Report Summarizers Missing the Target?

Bug reports can be lengthy due to long descriptions and long conversation threads. Automatic summarization of the text in a bug report can reduce the time spent by software project members on understanding the content of a bug report. Quality of the bug report summaries have been historically evaluated using human-created gold-standard summaries. However, we believe this is not a good practice for two reasons. First, we observed high disagreement levels in the annotated summaries and the number of annotators to create gold-standard summaries was lower than the established value for stable annotation. We believe that creating a fixed summary length of 25% of the word count of the corresponding bug report is not suitable for every time when a person refers to a bug report. Therefore, we propose an automatic sentence annotation method and an interface to customize the presented summary.
ELLIPTIC-CURVE CRYPTOGRAPHY (ECC) AND ARGON2 ALGORITHM IN PHP USING OPENSSL AND SODIUM LIBRARIES

This paper presents the elliptic-curve cryptography (ECC) and Argon2 algorithm in PHP using OpenSSL and Sodium cryptographic libraries. The vital part of this thesis presents an analysis of the efficiency of elliptic-curve cryptography (ECC) and the Argon2 hashing algorithm in the Sodium library, depending on the variation of initiation parameters.
Authorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training Data

Authorship Attribution (AA) is a task that aims to recognize the authorship of unknown texts based on writing style.Out of the various approaches to solve the AA problem, Stylometry is a promising one.This paper explores the use of a K-Nearest Neighbor (KNN) classifier combined with stylometry features to perform AA.This study indicates the robustness of KNN in performing AA on short historical Arabic texts written by different authors.To classify the texts according to the author, KNN was trained with a set of stylometry features including rare words, count characters and 2-, 3-and 4-grams character levels.Various feature set sizes ranging from 34 to 2000 were tested in the experiment.The experiments were conducted on limited training data with datasets consisting of 3 short texts per the author's book.This method proved to be at least as effective as Information Gain (IG) when selecting the most significant n-grams.Moreover, the KNN classifier achieved high accuracy results with the best classification accuracy of up to 90%, except for the 5-KK using the 4-gram character level.This work contributes towards utilizing KNN for identifying the distinctive stylometry feature for robust AA identification in short historical Arabic texts.
The Association between Covid-19 and ST Elevation Myocardial Infarction: Variable Clinical Presentations on a Case Report Series

Introduction The current global pandemic caused by the new coronavirus (COVID-19) already reaches 185 countries with approximately 3 million infected people and more than 200 thousand deaths. , With continental dimensions and an elevated socioeconomic disparity, Brazil, by the beginning of May, presents with increasing infection rates and mortality close to 8%. The numbers may be higher considering the lack of adequate testing of the population and healthcare professionals. According to the World Health Organization (WHO), cardiovascular diseases represent the [...]
ISOTOPE-GEOCHEMICAL HETEROGENEITY OF PLIOCENE-QUATERNARY VOLCANICS FROM KAMCHATKA AND THE ASTHENOSPHERIC DIAPIRISM PROBLEM

Isotope-geochemical material for Pliocene-Quaternary volcanoes of the Kamchatka region is generalized on a cartographic basis. The Sr-isotope anomalies of moderate and elevated radiogenicity, geochemically confirmed, are spatially conjugated. This made it possible to interpret these anomalies not only as a reflection of mantle plume material in the composition of volcanic rocks, but also of its hybrid environment, as a consequence of plum-lithosphere remobilization. The presence of multi-directional geochemical trends made it possible to propose the concept of moving boundary values for the composition of indicator rocks of the intraplate type and adakites, which significantly expanded the possibilities of their diagnostics. The isotope-geochemical heterogeneity of basaltoids of the region is generally determined by the peculiarities of concentration of rocks with intraplate and adakite geochemical characteristics, which allows considering the asthenospheric diapirism as the main factor of petrogenesis of Pliocene-Quaternary volcanism in Kamchatka.
Accusativo preposizionale in sardo: elementi strutturali e semantici

No AccessAccusativo preposizionale in sardo: elementi strutturali e semanticiMichael Allan JonesMichael Allan JonesSearch for more papers by this authorhttps://doi.org/10.14220/9783737011327.169SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverWiener Arbeiten zur LinguistikVolume 5 1st editionISBN: 978-3-8471-1132-0 eISBN: 978-3-7370-1132-7HistoryPublished online:October 2020 PDF download
Implementation of Movie Recommendation System Using Machine Learning

As world is evolving, similarly people's desire, trend, interests are also changing. Same way even in the field of movies, people want to watch the movies according to their interest. Many web-based movie service providers have emerged and to increase their business and popularity, they want to keep their subscribers entertained. To improve their business, the service provider should recommend movies which users might like, so that they might watch another movie and be entertained. By doing this there is high possibility that customers will periodically renew the web-based movie service provider application. The objective of this project is to implement the machine learning based movie recommendation system which can recommend the movies to the users based on their interest and ratings. To achieve this, content-based filtering is used to recommend movie based on movie-movie similarity, collaborative based filtering is used to compute features based on user information and movie information. The proposed system uses the new ensemble learning algorithm, XGBoost algorithm to improve the performance. The results show that the proposed system is effective for movie recommendation and the system minimizes the root mean square error (RMSE).