Reviewerly/exHarmony huggingface dataset:
lFIT: an unsupervised discretization method based on the Ramer–Douglas–Peucker algorithm

Discretization is the process of converting continuous values into discrete values. It is a preprocessing step of several machine learning and data mining algorithms and the quality of discretization may drastically affect the performance of these algorithms. In this study we propose a discretization algorithm, namely line fitting-based discretization (lFIT), based on the Ramer--Douglas--Peucker algorithm. It is a static, univariate, unsupervised, splitting-based, global, and incremental discretization method where intervals are determined based on the Ramer--Douglas--Peucker algorithm and the quality of partitioning is assessed based on the standard error of the estimate. To evaluate the performance of the proposed method, a set of experiments are conducted on ten benchmark datasets and the achieved results are compared to those obtained by eight state-of-the-art discretization methods. Experimental results show that lFIT achieves higher predictive accuracy and produces less number of inconsistency while it generates larger number of intervals. The obtained results are also validated through Friedman's test and Holm's post hoc test which revealed the fact that lFIT produces discretization schemes that statistically comply both with supervised and unsupervised discretization methods.
BIM PROCESS, ONTOLOGIES AND INTERCHANGE PLATFORM FOR CULTURAL ARCHITECTURAL HERITAGE MANAGEMENT: STATE OF ART AND DEVELOPMENT PERSPECTIVES

Abstract. Ontology meaning and its declination in computer science are defined in the contribution. Some experiences of using ontologies for Cultural Heritage frame the state of the art. Specific ontologies for the conservation process allows the definition of classes and their description through attributes. Subjects, means, tools, relationships, and planning of activities, times and costs are included in the process. Ontologies so defined are also the basis for the definition of an interoperability protocol for Cultural Heritage. Interoperability means exchange among the tools, with the guarantee that data and meanings transmitted are correctly interpreted by the receiving system. The paper proposes the kind of informative model for built heritage. Defining the basis for ontologies is the goal. The flow of information in a Common Data Environment, a data exchange platform, is necessary to ensure proper data and process management.
The Effectiveness of Jigsaw Learning Model in Teaching Reading Comprehension on Narrative Text

Abstract&#x0D; Reading is considered as an important aspect for students because of its valuable benefit in developing knowledge. There are approaches of teaching reading such as top-down, bottom up, and interactive approach. Some studies was conducted in applying interactive strategy such as Jigsaw learning method. For the purpose of teaching narrative text, the researcher try to observe and analyze the effectivenes of Jigsaw learning method by using an experimental research. The study was conducted on the tenth grade students in SMA Darussalam in the academic year 2018/2019. The writer used testing instrument, pre-test and posttest. The result of the data analysis are as follows: (1) the student’s reading comprehension before being taught by using jigsaw learning model is fair, (2) the student’s reading comprehension after being taught by using jigsaw learning model is good, (3) there is significant difference of the reading comprehension for the students before and after being taught by using jigsaw learning model. So, the writer conclude that, teaching reading comprehension using jigsaw learning model is effective in increasing students’ reading comprehension on narrative text.
IMPLEMENTATION OF ELECTRONIC TEXTBOOKS IN SECONDARY SCHOOLS: WHAT TEACHERS NEED

E-textbooks are gaining momentum in the education systems and are used for teaching and learning.Teachers are often reluctant to accept and use these technologies in the classroom, despite the numerous advantages thereof.In environments where the use of e-textbooks are mandatory, such reluctance often manifests as using the software in a superficial way and job dissatisfaction.The objective of this study is to determine the needs of teachers when implementing e-textbooks.An interpretive case study was conducted at a secondary school in South Africa.'Interviews were conducted with 14 teachers.The findings were used to enhance an existing 'needs of using e-textbooks perception scale'.Apart from the usability and functionality features of e-textbooks, this study highlights the need of teachers for 1) adequate and timely training, 2) having no learners in their classrooms without a tablet or mobile device, 3) the ability to choose the textbooks themselves, and 4) the need to communicate their requests regarding the software and functionalities with the service provider.
IMPLEMENTASI AUGMENTED REALITY SEBAGAI MEDIA PROMOSI INTERAKTIF UNTUK KATALOG FOOD AND BEVERAGE PADA HOKCAFE

The business of Food And Beverages is a business that is currently showing rapid development, but the media still used uniform promotion by using the brochure display only 2D objects and lack of differentiation in doing promotion, therefore researchers initiative to design and make the application of augmented reality that can make it easier buyers and increased power consumption tastes to see visual form menu and as an interactive media promotions using the technology of augmented reality based android tailored to needs.The making of the application is created using the Unity3D software with programming languages C #, Blender3D for 3D object formation, where each stage of the system is done in a sequence repeated quickly. The results obtained from this research that is has made application augmented reality on a catalog of Food And Beverages based on android
Sistem Analisa Tingkat Kepuasan Mahasiswa Terhadap Kegiatan Belajar Mengajar pada PSTI Unram dengan Menggunakan Metode Service Quality

This system designed by website-based with service quality method which providing display online questionnaire that can be access by students of PSTI Unram. Students objectively fill the questionnaire, then the result will be displayed on page of Head Master, Lecturer and Operator PSTI Unram. There three ways in testing the application, Black Box, System, and Mean Opinion Score. Black Box shows that all the features run well. System shows the result of the system servqual score calculation is accordance with manual calculation. MOS administred 40 respondence of PSTI Unram Students, the result as much as 4,15. This shows that the system has been done well and accordance with the expected. Concluded that with this system, studens able to give the evaluation towards service provided during teaching and learning process, and PSTI Unram can receive the information about the analysis result of students satisfaction level towards the quality of service given. And for PSTI Unram can improve performance to provide an excellent services in the future.
Improved Spider Monkey Optimization Algorithm to train MLP for data classification

In this paper, the modified Spider Monkey Optimization (SMO) with Multi-Layer Perceptron (MLP) is utilized to solve the classification problem on five different datasets.The MLP is a widely used Neural Network (NN) variant which requires training on specific application to tackle the slow convergence speed and local minima avoidance.The original SMO with MLP experiences the problem of finding the optimal classification result; due to that, the SMO is enhanced by other meta-heuristics algorithm to train the MLP.Based on the concept of no free lunch theorem, there is always a possibility to improve the algorithm.With the same expectation, the performance of the SMO algorithm is improved by using Differential Evolution (DE) and Grey Wolf Optimizer (GWO) algorithm to train the MLP.Likewise, the SMO-DE and SMO-GWO are two different concepts employed to improve efficiency.The results of proposed algorithms are compared with other well-known algorithms such as BBO, PSO, ES, SVM, KNN, and Logistic Regression.The results show that the proposed algorithm performs better than others or they are more competitive.
Security Assurance in DevOps Methodologies and Related Environments

The biggest software development companies conduct daily more than hundreds deployments which influence currently operating IT (Information Technology) systems. This is possible due to the availability of automatic mechanisms which are providing their functional testing and later applications deployment. Unfortunately, nowadays, there are no tools or even a set of good practices related to the problem on how to include IT security issues into the whole production and deployment processes. This paper describes how to deal with this problem in the large mobile telecommunication operator environment.
WHAT FACTORS MATTER MOST FOR MOBILE LEARNING ADOPTION?

This study investigates the interaction among factors affecting the effectiveness and consistency of frameworks for adoption and sustainable use of mobile learning.The research was designed according to a mixed-methods paradigm, including a literature review and a systematic review.A total of 362 factors were identified in the literature review of 75 studies.Twenty-five studies were included in the systematic review.The findings derive a five-discrete-dimension cluster that matter the most in isolation and as an orchestrate scenario: technological resources; digital literacy; pedagogical, behaviour, attitudes and ethics; and leadership.The findings could be useful to any schools which are thinking about introducing or amplifying mobile learning in their curriculum in order to prioritize and manage strategic initiatives.
RANCANG BANGUN SISTEM INFORMASI KEPEGAWAIAN CUTI KARYAWAN DI PT. COLORPAK INDONESIA, TBK BERBASIS WEB

Specialized information systems in personnel data are a matter of special concern. This is related to the ease and effectiveness in the processing of employee data such as employee data entry, employee data editing, employee data search, employee data report either on screen or printed on paper, especially in employee information system Employee leave. Management of personnel information system employee leave at PT. Colorpak Indonesia, Tbk which is still less than the maximum, such as the employee must fill the form of leave and wait for approval of the boss and less accuracy of the amount of employee leave balance. So to overcome it required personnel information system employee leave better than the previous system in order to present employee personnel leave information complete and simplify in knowing the amount of leave used and employee leave balance. This research uses waterfall method and system design is implemented with Diagram Unified Modeling Language (UML). The expected final result is that the employee-based employee leave information system can overcome the system problems that run more leverage in the process of submission and employee leave employment approval, employee reporting reports employee leave and employee employee leave data searching easier. With this research is expected to help PT. Colorpak Indonesia, Tbk especially Human Resource division to develop staffing information system employee leave.
Deterministic Annealing Based Transform Domain Temporal Predictor Design for Adaptive Video Coding

Current video coders employ motion compensated pixel-to-pixel prediction, which largely ignores significant spatial correlations and the fact that true temporal correlations vary with spatial frequency. Earlier work from our lab proposed to first spatially decorrelate the block of pixels by performing temporal prediction in the transform domain, and to effectively account for both spatial and temporal correlations. To adapt to variations in video signal statistics, the encoder switches between a set of appropriately designed prediction modes.This setting critically depends on efficient offline learning of transform domain temporal prediction modes. Significant challenges include: i) issues of instability and mismatched statistics inherent to closed loop design; and ii) severe non-convexity of the cost function trapping the system in poor local minima. Statistics mismatch is tackled by an appropriate paradigm for system design in a stable open loop fashion, but which asymptotically mimics closed loop operation. The non-convexity is handled by deterministic annealing, a powerful non-convex optimization tool whose probabilistic formulation allows for direct optimization of the cost function with respect to the discrete set of prediction modes, and whose annealing schedule avoids poor local minima. Experimental results validate the method's efficacy.
Examination of the Important Factor during Implementation of the Medical Equipment and Hospital Information System Using the Correlation Analysis

During medical equipment and hospital information system implementation in small- and medium-sized hospitals, the system introduction often advances after system selection by the management. However, in reality, the requirements of the systems between the management and staff layers were different. Therefore, the system did not often satisfy staff demands, resulting in increased dissatisfaction of the staff for the system. It was important to consider the staff’s opinion at the selection of the system manufacturer, vendor, and system to resolve their dissatisfaction for a system. In this study, we let the staff decrease these dissatisfactions in selecting a system manufacturer, vendor, and a system at the system implementation. Therefore, we consider a more useful system implementation method through the staff’s motivation building by the questionnaire result analysis. The questionnaire was carried out after each event in relation to system implementation. The enforcement of event for system implementation was useful for the staff’s motivation building, because we can consider the staff’s opinion with staff understanding. During system implementation, it was important and/or necessary for building the staff’s motivation for the success of the system implementation and to utilize it after the implementation.
Do Remittances Have a Real Impact on Economic Performance: Evidence from Côte d’Ivoire

The paper investigated the impact of international remittances inflow on Côte d'Ivoire's economic performance using per capita gross domestic product (GDP) growth.Data ranging from 1975 to 2016 was used within an autoregressive distributed lag (ARDL) model framework.The aim is to establish whether there exist long-run dynamics between remittances, the country's per capita GDP and selected control variables.The empirical findings suggest a long-run relationship between remittances, remittances square, per capita GDP, investment, openness, education, and population size.Interestingly, the paper found that remittances do not significantly impact economic performance however, there exists a nonlinear relationship between remittances and growth.This invariably implies that there is a threshold beyond which, remittances will positively affect per capita growth.This tipping point stands at 1.068% of GDP.The overall implications of the findings are discussed.
Convolutional Poisson Gamma Belief Network

For text analysis, one often resorts to a lossy representation that either completely ignores word order or embeds each word as a low-dimensional dense feature vector. In this paper, we propose convolutional Poisson factor analysis (CPFA) that directly operates on a lossless representation that processes the words in each document as a sequence of high-dimensional one-hot vectors. To boost its performance, we further propose the convolutional Poisson gamma belief network (CPGBN) that couples CPFA with the gamma belief network via a novel probabilistic pooling layer. CPFA forms words into phrases and captures very specific phrase-level topics, and CPGBN further builds a hierarchy of increasingly more general phrase-level topics. For efficient inference, we develop both a Gibbs sampler and a Weibull distribution based convolutional variational auto-encoder. Experimental results demonstrate that CPGBN can extract high-quality text latent representations that capture the word order information, and hence can be leveraged as a building block to enrich a wide variety of existing latent variable models that ignore word order.
Analysis of Lecxico-Semantic Relations of Punjabi Shahmukhi Nouns: A Corpus Based Study

The current study is an effort in the development of Lecxico-semantic relations among Punjabi Shahmukhi nouns. Semantic relations are those nets, which are found among nouns on the bases of word meanings. Development of semantic nets is taken as a key part while developing WordNet of any language. The WordNet of Punjabi Shahmukhi is not developed yet. The digital exposure and progress of Punjabi Shahmukhi is very slow in comparison to other languages of the world. The present study explores the kind of semantic relations found among the nouns of Punjabi Shahmukhi. WordNet organizes words on the basis of word meanings rather than word forms. WordNet of English includes four open class categories including; nouns, verbs, adverbs and adjectives, but present study is limited to the analysis of nouns. A corpus of 2 million words of Punjabi Shahmukhi was taken from different sources. Then, it was POS tagged and a list of 846 nouns was generated. Then, each noun was analyzed individually to develop its Lecxico-semantic relations including: synonymy, antonymy, meronyms, holonymy, hyponymy, hypernymy, singular, plural, masculine, feminine and HAS a part. The present research is significant and useful in the development of WordNet for Punjabi Shahmukhi. With the development of WordNet, it will be possible to run digital applications in Punjabi Shahmukhi including: machine translation, information retrieval, querying archive and report generation to automatic speech recognition, data mining, read aloud, robotics and many more. On the other hand, WordNet will help to maintain an international status for Punjabi Shahmukhi.
Research of Access Control System Based on Attribute Encryption Technology that Suitable for Dispatching and Control Cloud

The dispatching and control cloud (referred to as dCloud) with virtualization technology, which has the characteristics of resource sharing and dynamic deployment, leads to serious challenges for the security protection system of the current power monitoring system. The mandatory access control model selected by the security protection system is not suitable for the situation that user data hosted in the cloud. This paper studies the attribute-based encryption technology, and proposes an optimization method that uses the characteristics of the dCloud itself, to improve encryption efficiency and attribute revocation, and then implements an access control system based on attribute encryption model which suitable for dCloud. The experimental results show that the access control system designed in this paper solves the security problems introduced by super-privilege and resource sharing in the dCloud, which can effectively protect the user data and enhance the security to dCloud.
Termination Rules for Variable-Length CD-CAT From the Information Theory Perspective

Cognitive diagnostic computerized adaptive testing (CD-CAT) aim to taking full advantages of both cognitive diagnosis (CD) and CAT. Cognitive diagnostic models (CDMs) attempt to classify students into several attribute profiles so as to evaluate their strengths and weaknesses while CAT system selects items from the item pool to realize that goal as efficiently as possible. Most of the current research focuses on developing the item selection strategies and uses a fixed-length termination rule in CAT. Nevertheless, a variable-length termination rule is more appropriate than the fixed-length rule in order to bring out the full potential of CD-CAT. The current study discussed the inherent issue of instability over different number of attributes with the previous termination rules, the Tatsuoka rule and the two-criterion rule, proposed three termination rules from the information theory perspective, and revealed the connection between the previous methods and one of the information-based termination rules would be discussed which further demonstrated the instability issue. Two simulation studies were implemented to evaluate the performance of these methods. Simulation results indicated that the SHE rule demonstrated strong stability across different number of attributes and different CDMs and should be recommended for application.
The Russian Academy of Sciences and its responsibility to promote science

The meeting of the Presidium of the Russian Academy of Sciences held on September 18, 2018, discussed the tasks of the Russian Academy of Sciences toward promoting science. On this issue, the keynote address was made by RAS Vice President Academician A.R. Khokhlov, who highlighted the aims of such activities, measures being implemented, and cited several examples from the practice of educational work. This study focuses on the possibility of including activities to promote scientific knowledge in the government task of the Russian Academy of Sciences. In addition, the speaker discussed the role of the RAS Commission on contesting pseudoscience and falsification of scientific research in diffusion of purely scientific ideas and popularization of the scientific perspective globally, proposing to create two separate commissions based on the existing one. A.R. Khokhlov emphasizes developing a program by the Russian Academy of Sciences to popularize science. Finally, this report presents an earnest dialog that took place on this topic. Here, readers are offered the presentation of the report and its discussion materials.
A Novel Curriculum Visualization Method Using a Combination of Competencies, Cosine Similarity, Multidimensional Scaling Methods, and Scatter Plotting

This article outlines a new way of visualizing curricula (sets of courses for students) using competencies via a combination of cosine similarity, multidimensional scaling methods, and scatter plotting. We have already published a report analyzing syllabi (summary texts that explain the main points of courses or the contents of curricula) with the same methods. In this report, we show that using competencies is more useful than using syllabi. Usually, students are only interested in the course content when they select courses; this new visualization of curricula using competencies gives students a new perspective on their courses.
On the Application of Game in Primary School English Teaching

In our country, English teaching has always played an important role in primary school, middle school and even higher education. Especially in primary school, it is essential to cultivate students’ basic English literacy so as to lay a solid foundation for students’ English learning in the future. However, there are many problems in the process of English teaching in primary schools. A dramatic shift in the traditional notion of primary English teaching, especially the English teaching method, is unavoidable. Additionally, it is sensible to put game into practice. Based on the analysis of current problems existing in primary English teaching as well as its negative effects from the outset, this paper demonstrated the advantages and disadvantages of games in English teaching. It also studied the effective use of games in primary English classes. By adopting the ways of literature research, exploratory research and cases study, this paper provided more options and inspirations for English learners. What’s more, the student’s learning effort and interests will be driven by both game application and proper teaching methodology.