Reviewerly/exHarmony huggingface dataset:
Observing the Impact and Adaptation to the Evolution of an Imported Ontology

Ontology evolution is the process of maintaining an ontology up to date with respect to the changes that arise in the targeted domain or in the requirements. Inspired by this definition, we introduce two concepts related to observe the impact and the adaptation to the evolution of an imported ontology. In the first one we target the evolution of an imported ontology (if ontology O uses ontology O0, and then O0 evolves). The second one targets the adaptation to the evolution of the imported ontology. Based on our definition we provide a systematic categorization of the different cases that can arise during the evolution of ontologies (e.g. a term t is deleted from O0, but O continues to use it). We led an experiment to identify and count the occurrences of the different cases among the ontologies referenced on two ontology portals: 1. the Linked Open Vocabulary (LOV) ontology portal which references 648 different ontologies, 88 of them evolved. We identified 74 cases that satisfy our definition, involving 28 different ontologies. 2. the BioPortal which references 770 different ontologies, 485 of them evolved. We identified 14 cases that satisfy our definition, involving 10 different ontologies. We present the observation results from this study and we show the number of different cases that occurred during the evolution. We conclude by showing that knowledge engineers could take advantage of a methodological framework based on our study for the maintenance of their ontologies.
Design of Approaches to the Development of Teacher's Digital Competencies in the Process of Their Lifelong Learning.

At present, various strategies and initiatives focused on innovation of educational technologies in higher pedagogical education are offered in Ukraine. The study of the state of the formation of teachers’ digital competences in the process of their professional development has been carried out on the basis of Ternopil Volodymyr Hnatiuk National Pedagogical University. The article analyzes foreign and national approaches and strategies to the development of teachers’ digital competences. The results of the study, aimedto determine the features of mastering digital competencies in the process of teachers’ professional development and their lifelong learning, are presented. In total, 258 teachers from Ternopil and Ternopil region (Ukraine) took part in this research. The study combines a variety of statistical tools and techniques in thereal contexts of higher education. The research has been carried out to determine the characteristics of elements that measure the digital competency of the professional development. The results were processed based on the Item Response Theory (IRT). This article demonstrates the utility of the standardizedLD χ2 statistic and the M2 statistic as provided in the software IRTPRO, but not available readily in most IRT programs and not discussed commonly in pedagogical papers for IRT. On the basis of the research carried out at the Ternopil Volodymyr Hnatiuk National Pedagogical University, the strategy for the professional development of digital competencies of teachers in the process of their lifelong learning has been developed, which takes into account the results of the analysis of the criteria and indicators inherent for the qualitative improvement of qualifications, that have been determined by international standards and studies of professional institutions.
An Unique Approach For Detection of Fake News using Machine Learning

Fake news, alternative facts are associated to each other since the time news was transmitted using news papers or radio. The fake news most recently came to light when the US Presidential election was underway. There have been several hoax stories where citizens, governments as well all other social elements are all affected by these stories. Facebook has been the amidst the controversy by the media houses for targeting the audiences and showing them posts to their support. This paper focus on detecting fake news with the help of various python libraries in association with counting features using n-grams and tf-idf .The system will be taking input from the user and then compare them with an existing data-set.We have compared various algorithms to find out the best working model that will fit our project and give a proper prediction for fake news.
Methodology Of Educational Programmes Design In Electronic Educational Environment Of University

The paper deals with the research results regarding the study of the methodological foundations for the process of designing the basic vocational educational programmes in the context of university electronic information and educational environment. These foundations are the ideas of the systemic, competency-based and modular approaches; their significance and potential for the design of the educational programmes, the construction of the tool base of the electronic information and educational environment are under consideration in the article. The process of designing such programmes in the electronic information and educational environment is a complex integrated system consisting of subsystems interrelated by direct and back connections, having a common goal and fixed links with external environment. The system of design of the basic vocational educational programmes in the electronic information and educational environment is part of the system of the information, technical and educational tools, which provide mastering the educational programmes. The tools for designing the educational programmes should be considered in connection with the tools of the educational process implementation, access to educational materials, education quality evaluation, getting mutual feedback. In the electronic information and educational environment there is a demand for the creation of tools for setting the educational goals, the indicators for achieving them, the means of formal description of activities and labour functions of graduates, vocational competencies and their elements. The tool environment should provide management of separate modules of educational programmes, description of connections and combinations of educational modules for creating integral educational programmes.
Structure-tensor-based anisotropic rolling filter for image smoothing

Filtering image by eliminating irrelevant details as could as possible while preserving structure edge and corner becomes very important in the fields such as image processing and computer vision etc. In this paper, we present an Anisotropic Rolling Filter (ARF) for smoothing image while preserving important structure edge and corner. The proposed filter implements an extended cross bilateral filter, in which the range weights are updated in an iterative manner, while the spatial Gaussian weights are computed in anisotropic directions instead of isotropic directions. The anisotropic directions are computed based on structure tensors which are calculated at each pixel to determine structure orientations. Compared with the original rolling guidance filter, it is found that the proposed anisotropic rolling filter has stronger smoothing and structure preserving ability.
APPLICATION OF A GEOGRAPHIC INFORMATION SYSTEM (GIS) TO HIGHLIGHT FORMATIONS THAT SUPPORT GOLD MINERALIZATION IN COTE D’IVOIRE : CASE OF THE DEPARTMENT OF KATIOLA

This work aims to identify potentials sites suitable for mining research through the use of Geographic Information Systems (GIS). The method of pair comparisons by the hierarchical analysis process developed was used to the ponderation of criteria to generate different thematic maps. By the technic of complete aggregation based on the ponderation, these different maps were combined to produce the indicator map to result in the synthesis map. The map of potential sites for the auriferous mineralization which is a synthesis map reveals that 10% (350Km² or 3500ha) of the study area is moderately mineralized, 30% (1050km² or 1050ha) is mineralized and 13% (455Km² or 45500ha) is very mineralized. This map is of great importance for possible auriferous explorations. It highlights the auriferous potentialities of Katiola department.
For the Establishment of a Korean Research Model

This paper provides an outline of research papers on pre-modern Korean history published in recent years (2017-2018) [and discusses some general lessons to be learned]. In the introductory section, the general problematic is outlined. In four subsections dedicated to the historical periods Ancient times, Koryŏ, Early Chosŏn and Late Chosŏn, section II provides a reevaluation of research in retrospect and prospect, reviewing the major achievements. Section III examines several points to be improved for establishing a “Korean research model” as a long-term prospect for the Korean history academia. By way of conclusion, section IV proposes a full-scale debate on the issue of “retrospect and prospects” as such by the the Korean Historical Association as a whole: The declaration that “to review research results and pointing out prospects for the future is an important task in the advancement of historical studies” is stlil valid.
Swimmer position estimation by lane rectification

A new method of estimating swimmer position in swimming pool video is proposed. The video of swimming games is taken from a higher seat row in audience seat area. It can cover the whole field of a swimming pool. The swimming pool video is transformed so that each lane can be analyzed along with the lane direction. The foreground region that includes both the swimmer and their water splash is extracted by adaptive background modeling and by setting the mask region to cope with the influence of the non-planer water surface. Then, based on the color analysis on water splash, swimmer region can be successfully extracted. The position is estimated as the center of the Gaussian distribution of the swimmer region. The proposed method was applied to a nationwide swimming game.
DESAIN TEMATIK GAME EDUKASI UNTUK PENINGKATAN NILAI KEPEDULIAN DAN KETEKUNAN PADA KARAKTER ANAK DENGAN MODEL ASINKRON

According to the Indonesian Ministry of Communication and Informatics data, at least 30 million children and adolescents in Indonesia are internet users, and digital media is currently the main choice of communication channels they use. One of the content that is the choice of users, especially children, is an interactive game. There is a strong assumption that interactive games can inhibit children's education, which makes children lazy to learn. The other side of character education is a target of the Indonesian government. Education about caring and perseverance is an important topic for children's character education. This article will discuss thematic media for raising children's awareness and perseverance which combines and learning which are packaged with asynchronous models. Asynchronous was chosen because this character education still requires students to meet and discuss with teachers to find out the results of this education. This research is through a descriptive procedural research model, which outlines the steps that must be followed to produce a product. The data obtained in this design was taken by data observation, interview and documentation methods. Data observation method consists of visual data, library data and survey target audience. With the improvement of educational game design to increase children's care and perseverance, there will be an introduction, pattern and knowledge that can improve the character of children in life. This research can also be a guide for character education or one of the materials.
Governance of the flood disaster framework in malaysia: A way forward in enabling information technology knowledge sharing

Particularly in the field of Flood Management, poor governance results in weakness when tracking and monitoring flooding activities and systems, the poor mitigation of flood risks, and the inefficient use of both given and invested resources. This study proposes a framework for governing flood disaster management within Malaysia. The Control Objective for Information and Related Technologies (COBIT), the Hyogo Framework for Action, and the Sendai Framework for Disaster Risk Reduction, have all been used as guiding principles for the proposed framework’s development. A qualitative field study was deployed for identifying baseline practices in governing flood response in Malaysia. As a result, Governance for Flood Disaster framework, consisting ten building block components, was constructed. The framework capitalized on the strength of elements found from the existing practices documented by the National Security Council’s Directive and the Kemaman Standard Operating Procedure, while filling up identified gaps by applying the principles and spirit of COBIT, and the Hyogo and Sendai frameworks. The framework was assessed in regards to its conformance, completeness and acceptance, and was further validated using the techniques of expert opinions. From the validation result, it can be noted that the framework has been accepted without any changes or amendments. It is hoped that further studies can be undertaken to develop and establish each of the components within the framework, and that the framework itself can be further tested and improved on over time. © 2019, Institute of Advanced Scientific Research, Inc. All rights reserved.
Information Assurance into Research Level in India: The Case of Possible Research-based Degrees

Information Assurance, in short, is also called as IA. The field is concerned with the security of information. However, additionally, it is also responsible for the different kind of contents in a different form. The field Information Assurance is very close to Information Security; however, it also deals with manual contents security. According to the Information Scientist, Information Assurance talks about the rules, regulation, framework designing and development of security of the information or contents. The field Information Technology is growing rapidly and different fields have been incorporated into this viz. Database Technology, Web Technology, Network Technology, Software Technology, Multimedia Technology, etc. The applications of Information Technology into different fields, sectors, areas are called Information Science (IS). This branch is closest to the Society and Community and responsible for Social Development; additionally, it talks about manual information-related activities. Hence, Information Assurance as deals with both Computing and Manual content security, so it is considered as a branch of Information Assurance. Internationally many universities have started degree programs in the field. India also holds a large number of Higher Educational Institutes and offers a variety of UG, PG and Research Degrees. Even in recent past few universities have started some of the specialized PhD and research degrees. But still, there is an absence in Information Assurance academic program in India including PhD Degree. This paper is a kind of theoretical framework in response to the potentiality of PhD and research-based degrees in the field of Information Assurance and allied areas.
Hand Gesture Detection

Almost all of today's portable computers have a built-in camera. However, these cameras are used by people only as display devices. Instead of the users make computer management and control in a limited physical space with contacting the computer, they want to move away from the computer screen at the time of presentation and communicate with the computer without touching any device. In this study, by using computer vision and image processing techniques, with interpreting the hand movements of the user that enter the vision field of the camera, it can be used more functionally and the user can manage the computer without any physical contact and as being away from the monitor.
A local area UAS detection system from an elevated observation position

We present a new approach to an optical UAS detection system that confirms several requirements specified by the authorities. Our UAS detection system consists of a ground unit and a folding mirror located in the air. The ground based unit contains high resolution camera system mounted on a pan tilt unit. Therefore, the lens of the camera system can be actively aligned to a convex mirror which is located in vertical distance over the ground unit on the lower side of a raised captive balloon. The focal length of the ground based lens, the altitude of the balloon and the curvature of the mirror define the field of view towards the ground. The recorded video streams are processed in a vision system using change detection and other algorithms to alert a UAS intrusion. We will outline the design parameters of the optical system, the requirements and the implementation of the mechanical system as well as the active alignment system and show first results of outdoor operation
Visual Servoed Autonomous Landing on a Surface Vessel

In this paper, we describe a quadrotor able to land autonomously on a moving platform by employing on-board sensors. The full pose of the platform is estimated using a vision system. Furthermore, an ultrasonic sensor is used to compute the relative vertical position and velocity of the platform w.r.t. the quadrotor. This redundant information is used to achieve greater robustness during the final landing phase. The landing algorithm is presented and an overview of the overall architecture is provided. Software-in-the-loop simulations have been performed to evaluate the performance and to analyse in a safe way the entire landing procedure. We have finally tested our landing system in a real world environment using a customized quadrotor. Results of the landing procedure performed with real quadrotor are presented.
Sentiment Analysis of College Reviews using Machine Learning &amp; Data Mining

Now-a-days there is no shortage of review forums, blogs and other social networking sites in this digital world. Many studies have been done in analyzing the sentiment of those reviews but the area of "college reviews" has not got much attention in the field of sentiment analysis. So, we have worked on analyzing college reviews and created a system called as College Review Analysis System which will be an online web based platform for automatically analyzing and predicting student review sentiment with the help of machine learning. This system analyses the sentiment of the review of every college in its database.Based on the sentiment, system will classify top college as per their review sentiment.This classification problem is tackled with the help of an algorithm called: "Random Forest".We compared the accuracy of Random Forest with other classifiers as well including "Naïve Bayes", "Decision Trees" and "Support Vector Machine" it turned out that Random Forest performed better in comparison with those classifiers.
An Electronic Lattice Construction Method Based on Game Padding

The concealment, the steganography success rate, and the steganographic capacity are key performance indicators to text steganography. The existing text steganography methods still have a low steganographic capacity, some syntactic or semantic ambiguity problems to some extent. We propose an electronic lattice construction method based on a padding game to hide a secret message. This method first computes the length of a secret message and a key is worked out based on the length; the walking rule, the constraints to a hidden path, the initial size of a grid and the starting cell are determined based on the key and a unique hidden path can be figured out for the given secret; then the secret message is stored in the cells along the unique path and all the remaining cells in the grid are filled according to the padding game rules, which helps to obscure that secret message; finally, elements in some cells are removed to get the crossword that will be shared with the receiver. To extract the message, the receiver fills the crossword according to the same game rules as the sender does, and calculates that unique hidden path based on the shared key. The experimental results and analyses show that its concealment is prominent, its steganography success rate is 100%, and it has a high steganographic capacity. It also has no readability issue as the steganography by generation usually does.
Outlier detection in distribution companies business using real data set

Outlier detection represents the problem of finding patterns in data that does not fit in expected behaviour. In this paper, outlier detection is done over real transactional data set of the distribution company. Outlier detection is done over time-series data, and over an ordered number of products that can be found within transactions. Unsupervised techniques and methods, S-H-ESD and LOF, are applied because data set is unlabelled. Implementation is performed in R language, and web application dashboard using R Shiny is made. Based on collected results, a proposal for creating the outlier detection and prevention system is made, and ideas for further improvements and additional analysis are given.
Cooperative Spoofing Attack Detection Using Multiple Antennas and a Snapshot Receiver

Cooperative spoofing attacks are difficult to detect and to mitigate. In these attacks the user or owner of the global navigation satellite system (GNSS) receiver is also the attacker, hence, he can ensure ideal spoofing circumstances. Such attacks are associated with criminal activities where the user wants to falsify his own position. A low-cost tin-can spoofing attack against a snapshot receiver is demonstrated in this paper. Such an attack is similar to a cable inject; however, it couples over-the-air via the antenna of the victim GNSS receiver. Methods to detect such tin-can attacks are proposed where an array of antennas or a dual-polarized antenna is used. The detection criteria is based upon the similarity of the spatial properties of the received signals. The detection metric is analyzed to obtain the analytic detector threshold setting for optimal performance. The results with open service (OS) signals from GPS and Galileo show that with both an array of right-hand circular polarized (RHCP) antennas and a dual-circularly-polarized antenna the spoofing detection is successful. However, the array of antennas has shown superior performance in the detector analysis. This paper practically demonstrates the simplicity and feasibility of a tin-can attack as well as methods to sufficiently detect and counter such attacks. This emphasizes the vulnerability of GNSS receivers, and shows the need for multiple channel operation for robust high-performance receivers.
Faktor-faktor yang Mempengaruhi Speaking Performance Mahasiswa Jurusan Pendidikan Bahasa Inggris

Speaking skill is one of the most important skill to teach for English department students. Most activities in speaking class are oral presentations, however, there are many students who admitted to have obstacles on speaking performance. The main aim of this study was to find out the factors influencing students’ speaking performance in speaking class, furthermore, it was also to know what difficulties faced by the students of English department at IKIP Budi Utomo Malang. This study applied the descriptive qualitative method which describes the findings and the result of the study qualitatively. The data were collected by using observation, questionnaire, and documentation. This analysis found that both linguistics and non linguistics aspects influenced students’ speaking performance. The linguistics aspect includes vocabulary, pronunciation, and grammar while the non-linguistic aspect covers confidence, anxiety, and topical knowledge.&#x0D;