Reviewerly/exHarmony huggingface dataset:
Vietnamese Tourism Linked Open Data

This paper focuses on describing the process of building a linked open data repository for presenting tourist resources, which presently contains more than 100,000 places in big cities of Vietnam. This information is extracted and integrated from various sources on the Internet, which are famous social networks or tourism websites, for example, Booking.com, Mytour, Vinalo, etc. These massive and heterogeneous materials would be described via a semantic knowledge base presented in RDF/XML format that is accessible by SPARQL query. Concentrating in studying the concept of linked open data with its publishing processes, this work adjusts and improves the repository to become a standardized linked open data and allows it connect with other famous ontology such as DBpedia.
Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies

System logs provide invaluable resources for understanding system behavior and detecting anomalies on high performance computing (HPC) systems. As HPC systems continue to grow in both scale and complexity, the sheer volume of system logs and the complex interaction among system components make the traditional manual problem diagnosis and even automated line-by-line log analysis infeasible or ineffective. Sequence mining technologies aim to identify important patterns among a set of objects, which can help us discover regularity among events, detect anomalies, and predict events in HPC environments. The existing sequence mining algorithms are compute-intensive and inefficient to process the overwhelming number of system events which have complex interaction and dependency. In this paper, we present a novel, topology-aware sequence mining method (named TSM) and explore it for event analysis and anomaly detection on production HPC systems. TSM is resource-efficient and capable of producing long and complex event patterns from log messages, which makes TSM suitable for online monitoring and diagnosing of large-scale systems. We evaluate the performance of TSM using system logs collected from a production supercomputer. Experimental results show that TSM is highly efficient in identifying event sequences on single and multiple nodes without any prior knowledge. We apply verification functions and requirements and prove the correctness of the event patterns produced by TSM.
Automatic Circuit Design of CMOS Miller OTA Using Cuckoo Search Algorithm

The circuit design of the CMOS based analog part of a mixed-signal integrated circuit (IC) needs a large fraction of the overall design cycle time. The automatic design of an analog circuit is inevitable, seeing recently development of System-on-Chip (SOC) design. This brings about the need to develop computer aided design (CAD) tools for automatic design of CMOS based analog circuits. In this article, a Cuckoo Search (CS) algorithm is presented for automatic design of a CMOS Miller Operational Transconductance Amplifier (OTA). The source code of the CS algorithm is developed using the C language. The Ngspice circuit simulator has been used as a fitness function creator and evaluator. A script file is written to provide an interface between the CS algorithm and the Ngspice simulator. BSIM3v3 MOSFET models with 0.18 µm and 0.35 µm CMOS technology have been used to simulate this circuit. The simulation results of this work are presented and compared with previous works reported in the literature. The experimental simulation results obtained by the CS algorithm satisfy all desired specifications for this circuit.
A worldview ratio with the structural components of a personality

The article shows the problem of the worldview functional role in the structure of the personality. Its connection with the direction of a person, his cognitive component, component of experience, character and regulatory component is described. It is proved that in the structure of given direction of personality worldview ideals, principles and convictions, forming its highest level, provide hierarchy of motivational-value personal entities and enable the implementation of productive tactical and strategic life choices on this basis by a human. Also it is argued that the connection of worldview with a cognitive sphere of personality is manifested when solving his life tasks, where ideological structures mediate the development of a cognitive relation to a specific task, participate in the implementation of metacognitive regulation of the process of its solution and enable the implementation of the decision taken in the life strategy. It was emphasized that ideological beliefs also present a value-semantic basis of strategic goal-setting and conscious self-regulation, ensuring the transfer of the contents of everyday experience to the specific structure of the projected life program and defining a range of possible variants of its implementation. Finally, it is stated that the fact that the personality determinations concerning the significant objects or phenomena of reality, which predetermines the formation and realization of the individual style and the corresponding variant of life, is associated with his character, which is the expression of a certain type of his ideological attitude towards life flow.
Quranic Latin Query Correction as a Search Suggestion

This research proposes a method to help correct typo errors, such as wrong letters, missing letters, and additional letters. To date, the Lafzi search system is an example of an effective application for searching Arabic queries based on sound similarity. The Lafzi application helps correct typos due to the sound of Arabic letters that are almost the same as the pronunciation but not correct errors due to typos. Typos could prevent the search system not to display the desired results. This research proposes a solution by employing auto-complete to equipped missing trigram and the edit distance metric to calculate the differentiation value between the corrected query with the initial query. The way the system works is by separating and sorting trigram tokens from queries (user inputs) based on the verse. Each verse that has a missing trigram token will be equipped and re-transformed into a corrected query. Each corrected query will be compared to the edit distance value against the initial query (input from the user), then a corrected query will be taken which has the smallest edit distance value and will be made as a suggested query. The evaluation shows that the proposed method produces the highest recall value at 93.40% and the highest MAP value at 86%. This outperforms the previous Lafzi system approach which achieves recall at 85.23% and MAP at 79.83%.
A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering

For the problems of data sparseness and cold start of goods in the existing recommendation algorithm, in this paper, we propose a new method based on the hidden Bayesian method to predict user preferences. Our approach is to use the variational Bayesian non-negative matrix factorization on observable rating matrices (users- items), which can predict the filling of the scoring matrix and cluster the users. On this basis, the user's hidden information and pre-rating are obtained, and the pre-rating is corrected in combination with the item attribute information by improved naive Bayes classifier. Experimental results show that 1) this method does not require additional clustering algorithms, which saves execution time. 2) Compared with the classical matrix factorization and similarity algorithm, our method solves the cold start problem of new items and the greatly improved the accuracy of recommendation.
The Educaplay interactive platform for the learning of mathematics in populations with special educational needs

Abstract Mathematics, in populations with Special Educational Needs, must be worked from the context of the students and with problems that they can show leading them to apply the concepts and solutions to everyday life. In this context, the present study is based on the objective of implementing pedagogical strategies based on the use of the Educaplay interactive platform for the learning of mathematics in populations with special educational needs in the “Carmen Teresiano” school in the city of San José de Cúcuta, Colombia. From the theoretical point of view, it is based on humanist theory and the cognitive paradigm; on the other hand, it is based on the manual of the teacher of children with special educational needs of the “Ministerio de Educación”, Chile. Methodologically, it is a quasi-experimental study of pre- and post-test with only one group. The results of the pretest reflect deficiencies in the use of basic mathematical contents in the target population, which allowed for the design and implementation of an intervention plan and then to reapply, under the same conditions, the post-test. This resulted in an increase in the execution of the questions posed, which demonstrates the effectiveness of the intervention plan.
P‐3.3: High Definition OLED‐on‐Silicon Micro‐display Based on Human Visual Characters

As users demand higher refresh rates and frame rates, the amount of data in the virtual reality field is also growing. There is a large visual perception redundancy in the image source transmitted by the micro‐display system. In this paper, an OLED‐on‐silicon micro‐display system based on human visual characters is designed to solve the problem of high data bandwidth transmission in head‐mounted virtual reality applications. The experimental results show the multi‐resolution image fusion compression algorithm based on the visual perception of human eye has the good data compression ratio. The proposed method meets the visual perception of the human eye. It has good rendering quality, which meets the real‐time rendering requirements of the OLED‐on‐silicon micro‐display in the virtual reality embedded environment.
Technological solutions for the detection and warning of natural disasters caused by the “El Niño” Phenomenon

In Peru, there is a great need for reducing the impact of natural disasters caused by the El Niño Phenomenon (FEN, by its Spanish acronym), as it results in significant losses. Some may be both human and material. This hydro-climatic event, which lashed the country for the last time in 2017, evidenced a lack of technological solutions to neutralize the impact of this type of events. This is why, in this article, alternatives specific to information and communication technologies (ICT) are proposed for the detection and warning of this natural phenomenon, and thus reduce its negative effects.
The university library collections in the 21st century: Main trends and factors of efficient collection development

The necessity for studies and sharing the experience of Russian academic university libraries in collection development is substantiated. The main trends for the collection development in the 21-st century are revealed and examined as the case study of Novosibirsk State University Library.NovosibirskUniversityis among the nation’s leading research universities. The authors specify the trends of modernization, globalization, collection development with digital publications, and the increasing share of the latter in the Library’s acquisitions and, correspondingly, in the collection, on the whole. They also emphasize the relations and mutual dependence of these and other trends within the collection development process. The factors of successful collection development at the Library are recommended to be implemented by other libraries. High professional competences of collection development specialists and other librarians, the wide range of the collection development sources and their stability, and university administration’s special care of the library collections are specified among these factors. The authors conclude that Novosibirsk State University Library has accumulated great experience in collection development in the circumstances of information society, advance of information technologies, expanding globalization, university integration into the global education, science and research environment. This experience can be shared with many other university libraries.
SRN을 활용한 대학수학 강좌 운영 사례

In this study, we wanted to identify the effects of Self-Reflective Note(SRN) strategy which used on ‘college mathematics’ courses, operated as liberal arts curriculum course in university. For this purpose, we used SRN strategy on ‘college mathematics’ 3 classes, ‘college mathematicsⅡ’ 1 class enrolled 95 students, and then analyzed the data. For identifying change of students’ learning, we conducted surveys related to affective domain, core competencies, satisfaction. From this, we identified the followings. First, the interest, self-confidence, future expectation of students who attended classes in which SRN strategy is used are positively changed. Second, core competencies(self-directed ability, communication ability) of students who attended classes in which SRN strategy is used are improved. Third, the students who attended classes in which SRN strategy is used evaluated such as mathematics learning using the strategy help their mathematics study. Forth, the students who attended classes in which SRN strategy is used evaluated such as the strategy improved their learning habit, supplemented their weakness and activate realistic communication between professor and them.
Contour Sparse Representation Using Voting Based Matching Pursuit for Road Marking Recognition

The road marking recognition is an important part of road scene understanding based on computer vision.In road marking recognition, the contour-based algorithm such as generalized Hough transform (GHT) is more effective than the texture-based algorithm for no texture noise effect.However, there are a lot of redundant calculations in template matching which reduces the system efficiency.This paper presents a voting based matching pursuit (VMP) algorithm for locating reference points automatically in solving the sparse optimization problem, which achieves automatic alignment of samples in recognition.Then a dictionary learning method based on VMP algorithm is proposed, which uses a simple strategy to update the dictionary elements.The experimental results from two data sets have shown that the system efficiency is significant improved while ensuring the accuracy rate by the proposed method.
How versioning of terminology systems can be supported by ontological models – a case study on TNM tumor classification

The TNM classification (Tumor-Node-Metastasis) is the most important coding scheme used to stage tumors based on size and location. Its coding rules may change across different TNM versions, such that the same tumor is represented by different codes in different versions. We present an ontology-bas ed modular architecture for the management of TNM, using the coding rules for pancreas tumors in the considerably different TNM versions 7 and 8 in order to demonstrate how mappings (in the sense of re-classification) between TNM versions can be supported. To enable re-classification of tumor instances between TNM versions, mapping ontologies were created. This work describes two version mapping approaches, one using SWRL rules and the other intermediate classes representing the mapping criteria between the TNM versions. We show that tumor instances with defined characteristics were correctly classified in different TNM versions. In addition, ontological inconsistencies in classification systems based on informal text labels and possible conversion problems due to different categorization criteria in different TNM versions are demonstrated.
Handwritten Digit Classification using Iterative Haar-like Operators and Neural Networks

Although automatic handwritten digit recognition is increasingly finding usage in mobile and hand held devices, it remains a challenging problem. Despite the incorporation of modern techniques such as deep learning, there is room for improvement in the accuracy rates and running times of existing approaches. This study proposes the use of Haar-like features and artificial neural networks to complement existing efforts in handwritten digit recognition. Haar-like filters of different granularity levels are applied to images of handwritten digits, in order to determine the effect of increased granularity on classification effectiveness. Experiments on the MNIST dataset show that increasing Haar-like filter granularity yields improved classification accuracy. Using 256 Haar-like features, a neural network is trained and tested on 60000 and 10000 handwritten digit images, respectively; achieving an overall accuracy of 89%.
THE MAIN COMPONENTS OF THE METHODICAL SYSTEM OF USING THE CLOUD-BASED LEARNING ENVIRONMENT FOR THE PREPARATION OF FUTURE IT SPECIALISTS

The article analyzes the readiness of HEI teachers to use a cloud-based learning environment in the training of future IT professionals, which showed that 59% of the interviewed teachers have an understanding of cloud technologies and services; 34% use cloud-oriented learning tools when teaching their subject; 16% of teachers use a cloud-oriented learning environment in their professional and pedagogical activities; 100% of respondents agreed to use a cloud-based learning environment designed by the author's methodological system in the educational process. It is investigated whether the designed cloud-based training environment for the training of future IT specialists is effective by the criteria and indicators. The main components of the methodological system of using cloud-based learning environment (CBLE) training of future information technology specialists (purpose and content, methods, forms and means of using CBLE in the educational process of higher education institution) are described. It is established that when constructing a methodological system for the use of cloud-oriented training environment for training future IT professionals, it is necessary to: select a cloud-oriented system of training support as a component of CBLE for use in the educational process of future information technology specialists, as well as cloud-oriented, IT-trained expedient for future IT professionals to use in their training; improve the content of disciplines directly related to programming for the use of a cloud-based learning support system and cloud-based learning tools when studying different subject disciplines in this area; to develop the "Cloud Technologies in Education" elective course, and to implement it to acquaint with the peculiarities of the use of cloud technologies in the educational process of future IT professionals, as well as to train teachers with the purpose to acquaint with the peculiarities of the use of cloud technologies in the educational process.
ELECTRONIC EDUCATIONAL RESOURCES OF TEACHING OF THE BASIS OF DESKTOP PUBLISHING FOR THE FUTURE TEACHERS OF VOCATIONAL EDUCATION

The article describes the experience of designing and using in the process of training future educators professional training of electronic educational resource for the study of computer layout foundations. In the course of our research, we have found out the possibility of using electronic educational resources in the educational process of Higher education institutions to train future teachers of vocational education. In particular, we have developed an electronic educational resource «Basics of Computer Layout», in which, according to, the necessary training materials and author's methodological developments for learning the basics of computer layout in the Adobe InDesign CS5 software environment are structured. The Word Press content management system (CMS), which has open source code and is distributed under the GNU GPL license, has become a popular medium for creating the described ESM. The developed ESM contains a set of copyright educational and methodological materials, materials for monitoring the level of educational achievements, together they allow the future teachers of vocational training to form the theoretical knowledge and practical skills of the basics of computer layout in the Adobe InDesign CS5 software environment. For the purposeful implementation of conceptual research ideas, the author developed a method for using a complex of electronic educational resources for teaching computer graphics to future bachelors of the specialty 015.10 «Professional education (computer technologies)». The method involves the provision of practical knowledge and skills to future bachelors of vocational education in order to form professional competencies in the Special Informatics discipline (module 3 Fundamentals of computer layout in the Adobe In Design CS5 program).
Développement du média pédagogique de pop-up sous forme d’un livre pour l’apprentissage de la compétence d’expression orale des apprenants de la classe Xème de SMA 3 Klaten

&lt;p class="Abstract"&gt;The purpose of this research is to develop teaching media in form of&amp;nbsp;&lt;span style="font-size: 1rem;"&gt;pop-up book to practice speaking activity of students in X grade of&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;SMA 3 Klaten and to comprehend the practical use of this method.&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;This R&amp;amp;D research utilizes six methods: a) analysis of potentials and&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;problems, b) collecting data, c) designing the pop-up book, d) critique&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;and opinion about the design, e) editing process, and f) practicing the&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;book in class. This research also uses questionnaire in order to know&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;the book’s quality and the reader’s response. Pop-up book is the&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;product of this research. The research also shows that 1) its material&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;scores excellent with 88.88%, 2) its practicality as teaching medium&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;scores 92.85%, as excellent, 3) and the readers’ response scores&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;86.45% as very good. This concludes that teacher can use Pop-up book to practice speaking activity in the&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;class.&lt;/span&gt;&lt;/p&gt;
Intra-pulse Modulation Feature Analysis for Radar Signals

Radar signal sorting based on intra-pulse parameters is applied in complex electromagnetic environment well. This method provides a new basis and ideas for the sorting and identification of radiation source signals, and also a possible way to improve the current sorting ability of radiation source signals. This paper discusses several aspects from domain analysis, frequency-domain analysis, time–frequency analysis, wavelet analysis, atomic decomposition, high-order statistical analysis, and nonlinear dynamic analysis methods.
Inclusion of students of non-mathematical profiles of pedagogical universities in research activity in mathematics as a means of formation of positive learning motivation

The purpose of the article is to consider the influence of the involvement of students of non-mathematical profiles in research activities in the field of mathematics on their motivation to study mathematical disciplines. Using theoretical and empirical methods, the hypothesis of students’ positive motivation formation in this way was tested. The inclusion of research tasks into the process of teaching mathematics is described. The results of the questionnaires are given, conclusions are drawn in the article.