Reviewerly/exHarmony huggingface dataset:
OMU: An Ontology For Mosul University

Nowadays, data from different real-time data streams are coming in.The classical relational database systems cannot manage such big data.Big data should be managed in a way that keeps the semantic relations between different concepts.Ontology is a powerful tool that comes from the concept of the semantic web, can formulate data schema as semantically connected objects.Ontology can be shared and reused across different domains and sites.In this paper, an ontology that captures the main concepts and their relationships in Mosul university is proposed.The main steps for OMU (ontology for Mosul University) development are showen using protégé ontology editor.Also, several queries are implemented to show how we can use inference engine to infer new and implicit knowledge from ontologies.visualization tools are used to visualize OMU ontology.
SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT GINJAL DENGAN MENGGUNAKAN CERTAINTY FACTOR

With the rise of kidney disease sufferers, the factors that most influence lifestyle and the environment, kidney disease is not a hereditary disease, with certainty factor systems can find out patients early on, this system is built on a web basis, so users can easily access and choose symptoms that are felt about kidney disease information.
A STUDY OF ATTITUDE OF ENGLISH LANGUAGE TEACHERS TOWARDS VALUE ORIENTED EDUCATION WITH GENDER AND TYPE OF FAMILY

Values in education could bring social conscious, ability to differentiate legal and illegal aspects and make an individual tolerant towards other religions, sections, and casts of the people in society. The socio-legal-religious means help any individual behave open-mindedly and responsibly, the value education can help differentiate the morals, in other words, they will help identify good morals and bad morals and change the behavior of a person in terms of right and wrong. The main objective of the present study is to study the inuence of management, locality on the attitude of English language teachers towards value oriented education. Value oriented education questionnaire developed by Pagadala Bhargavi (2017) was adopted. A sample of 320 English language teachers representing all categories of schools in Kurnool District by following the standardized procedures. 't' – test was employed for analysis of the data. There is signicant inuence of gender and type of family at 0.01 level of signicance on the attitude of English language teachers towards value oriented education. Male and Nuclear family English language teachers are positive attitude towards value oriented education than the Female and joint family English language teachers. Government has to provide good amenities for Female and joint family English language teachers.
The Digital Pharmakon: The Poisonous/Potential of Partial Determinism

Our tools have always been, necessarily, both powerful and poisionous, in part, becasue tool ontology is an ontology of partial determinism. That is, the strength of the tool is such that it focuses a particular interaction with the world, which unlocks otherwise unavailable potentials; itdoes this by way of exclusion, and thus partly determines its […]
MergePoint: A Graphical Web-App for Merging HTTP-Endpoints and IoT-Platform Models

More and more devices are connected to Internet of Things Platforms in various application domains.The resulting device integration effort is moderated by the concrete integration syntax and the technical abilities of the device integrator.Therefore, researchers from various communities have been investigating and designing component coupling architectures to achieve interoperability for more than 30 years.Emerging Smart Home scenarios challenges classical integration approaches as no single formal integration standard exists.In this paper we introduce a reference architecture called MergePoint that automates HTTP-Endpoint integration with smart home platforms such as openHAB in a plug-and-play manner.Based on a prototypical system implementation, our empirical evaluation demonstrates that average integration time can be reduced by 78% and average tool usability score is increased by 65% compared to textual integration approaches.MergePoint can serve as a reference implementation for practitioners that want to automate the integration between HTTP-Endpoints and IoT Platform Models.
Hybrid Method between the Discrete Wavelets Translate Technique and the Chaos System Based by the Least Significant Bit Algorithm to Encrypt and Hide a Digital Video File

The use of computers today is the most important and widespread means of storing, retrieving and circulating information through local and international networks and smart phones.Thus it is possible to intercept information through different networks or access to computers, whether independent or connected with the network for the purpose of viewing its contents or stealing information or to tamper with, and in this light must ensure the protection, reliability and credibility of information and preservation of the emergence of various means of protection such as the use of encryption and techniques of hiding or coverage of information.This research is based on a hybrid method between the Discrete Wavelets Translate technique (DWT) and the Chaos system based on the Least Significant Bit algorithm (LSB) to encrypt and hide a digital video file within another digital video that represents the cover by inserting the digital video file and segmenting it into a set of frames and then analyze each frame to its colors (red, green and blue) and then study the color values of each frame and the process of encryption based on the equation of the logistics function (chaotic functions), and the application of the Discrete Wavelets Translate technique on the color slides of the cover frame.The hiding process is done using the Least Significant Bit algorithm based on the logistic function by calculating the series of random locations of cover area.The results showed that the hybridization of the Discrete Wavelets Translate technique and the chaos system based on the Least Significant Bit algorithm was an effective method for encrypting and hiding digital video files.After applying the work algorithms to a set of samples, the results showed consistency and compatibility in the encrypting and hiding process with the samples that was dealt with.
SISTEM INFORMASI PENGGAJIAN KARYAWAN MINIMARKET DI SPBU PONDOK PESANTREN SALAFIYAH SYAFI’IYAH

The development of technology information and communication has a positive impact in the way of accessible information as we need. Companies should apply this information system in their activities to win the competition. One of the parts to which the system information is considered applicable is in the system of remuneration. Though the implementation of remuneration information system, it is expected to enable to handle the remuneration transaction in the way that it can run well and be done in minimal errors. This research aims at developing a remuneration information system that includes data processing of the employee’s salary and the report. The tools that are used to perform the analysis and the design is Data Flow Diagram (DFD) while the programming language used to design the system is PHP and MySQL. The result of this research is a computerized remuneration information system that can be used to conclude that the proposed system can effectively meet what the management of a company wants.
Native Language Identification

Native language identification is relevant in speech technology, second language learning, forensic analysis and cross-cultural communication. Here we explore the contribution of consonantal articulation in this process. Specifically, we investigate whether Chinese English listeners can identify different speakers' native languages by their consonant production. Subjects listened to 30 English sentences (with 24 target consonants read by three groups of English speakers (American/Chinese/French). Subjects identified the speakers' native language background by the English consonants segmented from the 30 sentences. Results indicated that some consonants present better cues to native language than others.
SISTEM PAKAR MENDIAGNOSA PENYAKIT GIGI MENGGUNAKAN METODE CERTAINTY FACTOR

Expert system is a computer-based application that is used to solve problems as thought by experts. One problem that can be solved by using an expert system is diagnosing.Teeth are one of the most important organs in the human body. As the only organ that cannot heal itself, the tooth becomes an organ that is highly maintained and cared for during one's life. The teeth are also very important organs in the food processing process. In this study the user chose one of three types of dental disease as their assumptions including periodontitis, gingivitis and dental caries. The system will give questions about the symptoms of dental disease. The certainty factor value of the three types of dental diseases based on user input is 95.9% of gingivitis, 92.7% of periodontitis and 85.9% of dental caries. So it can be concluded that the calculation results indicate the likelihood of users suffering from gingivitis 95.9%. Henceforth the system will provide a handling solution.
Béziau’s SP3A Logic and Logic Programming

We present some three-valued paraconsistent logics, in particular SP3A logic which has been recently introduced as a genuine paraconsistent logic.After discussing the relevance of some rules in classical logic, we motivate the need for paraconsistency.Then we mention areas of applications of non-monotonic reasoning in terms of programming semantics, and mention the relationship that exists between these semantics and logics.In particular we show that logic SP3A belongs to the family of D-elemental logics; these logics can characterize one of the semantics useful in the area of non-monotonic reasoning.
Project Culture in Design as a Key Factor of Human Development in the Region

The article considers the issues of fostering project culture in design as a key factor of human development in Zauralye.These include a set of cultural programs and projects focused on creation of comfortable authentic environment, as well as favourable educational environment and pedagogical conditions to foster project culture of future designers as part of professional training at the university.Relevance of the research is to justify the importance of project culture in design and its impact on human development as a way of creative personal fulfillment.The article describes the content of project culture in design.Immersion of design students in active project activities aimed at promotion of a positive image of Zauralye, development of harmonious landscape in the city of Kurgan and in the Kurgan Region.Information on design projects implemented in Kurgan and the Kurgan Region is included.
The Problematic and Urgency About Scientific Research of Knowledge Development in Indonesia

Based on SCImago data, throughout 1996-2016, the number of global indexed publications in Indonesia reached 54.146 publications.When compared to Singapore, Thailand and Malaysia, Indonesia's ranking was still far below the three ASEAN countries.In 2016, at the world level, Indonesia was ranked 45th for the number of internationally published documents.The purpose of this paper was to identifying the factors that became a problem of research and the urgency of research scientists in the development of the world of science in Indonesia.This study used literature study with a conceptual approach.The results of this study explained that Indonesia had not been able to balance the rapid transformation of science and technology in the international world with quality research results, so that even though Indonesia had natural resources and potential human resources, Indonesia had not been able to produce enough research products.
Novel Face Recognition Based Examinee Authentication System using Python D-Lib

In the fast growing world of Information & Communication Technology (ICT), authentication of human faces with minimum human intervention has a greater demand in multiple sectors. As HFR (Human Face Recognition is a well-known technique for authenticating users or stake holders. Biometric as a dominant branch for verification, HFR has its applications in video monitoring / surveillance systems, HCI. This paper is proposed to present a method for recognizing an Examinee using the technique called face recognition wherein Python programming D-Lib & other associated libraries / dependencies are used. This model Biometric system which requires a validation machine.
Multimedia systems and applications in biomedicine

"Multimedia systems and applications in biomedicine." Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 8(4), pp. 343–344
Kindergarten teachers’ experiences and their requests for improvement in the public Kindergarten recruitment exam preparation process

본 연구는 공립유치원 임용시험을 준비하여 합격한 유치원교사를 대상으로 임용시험을 준비하는 과정에서의 경험이 가진 의미를 밝히고 이에 따른 개선의 요구를 살펴보는 것을 목적으로 하였다. 이를 위해 현 임용시험 체제에서 합격한 공립유치원 교사 14명을 편의표집하여 반구조화된 면담을 실시하였다. 그 결과 연구참여자들은 시험 준비의 효율과 효과를 위해 학원 강의 수강, 스터디 모임, 개별 학습을 했으며 각각의 경험은 공부의 방향과 전략 모색, 정보 공유와 정서적 지지, 학습 효과 향상과 유아교육에 대한 가치관 형성 등 각기 상이한 의미가 있는 것으로 나타났다. 또한 연구참여자들의 경험에 근거하여 국가 및 지자체 수준에서는 교사의 교육관과 인성, 자질을 평가하는 시험체제로의 변화와 평가의 객관성 확보를, 그리고 교원양성기관 수준에서는 임용시험 준비의 길잡이 역할과 정서적 지원을 요구하는 것으로 나타났다. 이러한 연구결과를 토대로 향후 공립유치원 임용시험 체제의 개선 방향과 임용시험 준비생들을 위한 사회적 지원 방안들에 대해 논의하였다.The purpose of this study was to analyze public kindergarten teachers’ exam preparation experiences for the public Kindergarten recruitment test and to investigate their requests for the system’s improvement. To this end, 14 public kindergarten teachers who passed the current employment examination system were participated in semi-structured interviews. The results showed that the participants took part in lecture classes at private educational institutes, study groups, and individualized learning in order to ensure the effectiveness of their test preparation. Each experience showed different meanings, such as seeking directions and strategies for learning, sharing information, emotional support, improving learning effects, and forming values &#8203;&#8203;for early childhood education. In addition, participants requested for some important changes of current test system, including evaluating teachers’ educational viewpoints, personality, and qualities at the national and local levels and the objectivity of the evaluation. They also emphasized the important role of teacher preparation programs that provides the candidates with emotional supports. Based on these findings, the future direction of the public kindergarten recruitment examination system and the social support plans for the candidates were discussed.
The Differences between Key Words-Pictorial and After Reading Card Methods in English Vocabulary Mastery

This study aims to determine the differences in English vocabulary skills of students using the Keywords-Pictorial learning method with students who use the After Reading Card Game learning method. This study used a quasi-experimental research method with the study of Nonequivalent Control Group Design. The population subjects in this study were all of the fifth grade students of MI Al-Istiqomah, Tangerang City, which numbered 50 students, taking a sample of 25 students in the first experimental class and 25 students in the second experimental class. The technique of collecting data using test questions instruments describing vocabulary skills consists of 20 valid and realistic questions. Based on the results of the study, testing the posttest hypothesis from the results of the t-test obtained tcount = 29.05 and table = 2.02, it can be concluded that there are significant differences between the posttest grade values of the first experimental class and the second experimental class. This can be interpreted that the English vocabulary abilities of students using the After Reading Card Game learning method are higher with students who use the Keywords-Pictorial learning method. Keywords: Keywords-Pictorial method; After Reading Card Game, mastery of vocabulary
Real Time Event Summarization of Tweets with Segmentation

As Increasing the usage of internet for microblogging for sharing news, opinions through the various social site like Friend feed, Tumblr, daily booth, Twitter. Expansive amount of data is shared daily so it is difficult task to filter the data and find the required data which is not error prone. In this work the input tweets are filtered to remove the relevant tweets as two different tweets. Filtered tweets are then segmented, clustered, stored in specific data set TCV to form the summary. Name Entity Recognition is used to identify the part of speech. To reduce the data summarization, segmentation method is used. In this paper we get the all details about data preprocessing, segmentation, NER, clustering, TCV, summarization and timeline generation algorithm
Особливості використання спеціалізованого програмного забезпечення для виявлення запозичень у літературних творах при проведенні судових експертиз та експертних досліджень

The current state of scientific and technological progress, the ease of access to created and saved texts, actively disseminating them through the Internet, actively contributes to the process of creating texts based on already existing, unlawful borrowing as fragments of the text, and whole texts without changes and transformations, the use of which is not justified for any purpose. All this contributes to the increased need for research, the purpose of which is to seek and establish such borrowings. Given the high complexity of conducting a search for borrowing one work in another, there is an urgent need to automate this process. To date, there are already quite a large number of services that position themselves as «qualitative and reliable means of detecting plagiarism in any product», higher education institutions also have either internal software development for such a search, or use purchased software. Unfortunately, no specialized software for detecting borrowings (signs of plagiarism) has yet been developed, which can be used precisely when conducting expert assessments and expert research on literary works, nor does it specify the specifics of its use. In this article the peculiarities of the use of specialized software for detecting borrowings (signs of plagiarism) are considered in the course of expert examinations and expert researches of literary works, in particular, scientific character. The basic research methods are considered, which require the use of specialized software hardware and software for the detection of borrowings in the works. A general algorithm for the use of such software for the needs of forensic expertise is developed.
A Study on the Selection of Discussion Issues for Korean Learners for Academic Purpose -Focused on the Analysis of the Topics Presented in Korean Textbooks for Academic Purpose

The purpose of this study is to select and present discussion topics for learners of academic purposes. Discussions help to improve communication abilities of academic learners as well as their logical and critical language skills. In order for the debate to proceed smoothly, it is important to select discussion topics suitable for learners according to their abilities, environment, and background knowledge. First of all, we analyzed the discussion topics presented in Korean textbooks for academic purposes by subject, type, and suitability. By subject, we divided them into major and minor issues; by type, we divided them into policy issues, value issues, and factual issues. In addition, an analysis was conducted based on timeliness, universality, confrontation, unity, and clarity to determine the suitability of the issues being discussed. Discussion topics were selected based on analysis results. The topics went through a four-step selection process in order to be selected objectively and rationally. Among the issues presented in the Korean language textbook for academic purposes, less suitable ones were modified or supplemented, and new topics were added.
Analisis Sentimen Konten Radikal dalam Kontestasi Politik 2019 di Media Twitter Menggunakan Interjection dan Punctuation

Sentiment analysis is now a trend to identify people's opinions and emotions in responding to a situation. In the political year, many opinions were scattered both written in print and social media. Political actors have different views, so that raises a lot of opinions that lead to radical actions such as SARA to people with different opinions. Research related to the analysis of radical sentiments via Twitter has been done by several researchers before, but there have been no studies of radical sentiment analysis using extraction features. This study proposes to conduct a radical content sentiment analysis on Indonesian textual tweets related to political contestation in Indonesia which then uses two features namely punctuation and interjection, and is classified using the support vector machine algorithm. From the results of the classification that has been done, obtained an accuracy value of 80% sentiment analysis and radical sentiment analysis conducted several times with a number of different interjection, obtained an accuracy of 94% using 200 interjection words.
THE ANALYSIS OF DIFFICULTIES IN WRITING NARRATIVE TEXT

The objective of this research was to analyze the difficulties in writing narrative text faced by the ninth grade students of SMP Negeri 11 Palangka Raya in the academic year 2018/2019 in using the generic structure and language features of the text. The research involved 20 students as the research participants. The method used in this research was descriptive research in which the research described and explained the actual data by conducting a writing test and analyzing the results. The results showed that 40% of the participants faced some difficulties in constructing the generic structure of the texts i.e. they failed in completing the generic structures of the texts and, mostly, missed one of the parts. Furthermore, there were 50% of the participants faced some difficulties in using the language features of narrative text, such as using past tenses, nouns, pronouns, verbal processes, and direct speech.