Reviewerly/exHarmony huggingface dataset:
Chaotic time series prediction with deep belief networks: an empirical evaluation

Chaotic time series are widespread in several real world areas such as finance, environment, meteorology, traffic flow, weather. A chaotic time series is considered as generated from the deterministic dynamics of a nonlinear system. The chaotic system is sensitive to initial conditions; points that are arbitrarily close initially become exponentially further apart with progressing time. Therefore, it is challenging to make accurate prediction in chaotic time series. The prediction using conventional statistical techniques, k-nearest-nearest neighbors algorithm, Multi-Layer-Perceptron (MPL) neural networks, Recurrent Neural Networks, Radial-Basis-Function (RBF) Networks and Support Vector Machines, do not give reliable prediction results for chaotic time series. In this paper, we investigate the use of a deep learning method, Deep Belief Network (DBN), combined with chaos theory to forecast chaotic time series. DBN should be used to forecast chaotic time series. First, the chaotic time series are analyzed by calculating the largest Lyapunov exponent, reconstructing the time series by phase-space reconstruction and determining the best embedding dimension and the best delay time. When the forecasting model is constructed, the deep belief network is used to feature learning and the neural network is used for prediction. We also compare the DBN –based method to RBF network-based method, which is the state-of-the-art method for forecasting chaotic time series. The predictive performance of the two models is examined using mean absolute error (MAE), mean squared error (MSE) and mean absolute percentage error (MAPE). Experimental results on several synthetic and real world chaotic datasets revealed that the DBN model is applicable to the prediction of chaotic time series since it achieves better performance than RBF network.
Fabrication-error analysis of injection-molded aspheric elements using typical aberration terms in transmitted wavefront with Shack–Hartmann wavefront-sensing measurement

Aspheric lenses help meet the most demanding optical requirements while the precision injection molding technique hits the target for precision and cost. We developed a method of analyzing aberration terms in the transmitted “wavefront measurement,” determined by Shack–Hartmann wavefront sensing to estimate the fabrication errors of injection-molded aspheric elements. Considering aspheric element fabrication using a small training data set and F-measure fuzzy cluster analysis, an unsupervised learning method was applied to extract typical aberration terms from the wavefront polynomial. The experimental results suggest that these aberration terms, which are related to spherical (third-, fifth-, and seventh-order) and coma (third-order) aberration terms in the transmitted wavefront polynomial expansion, can be employed to estimate the surface error and decenter, respectively, of a lens from a specific mold cavity. The sampling lenses evaluated in the proposed measuring process were collected from different mold cavities according to their total working performance in the modulated transfer function measurement for the whole camera module. The performances of the typical aberration terms were discussed by comparing to the ones obtained from an interferometer and a profilometer. The proposed method could provide high detection efficiency and can thus be applied for the quality control of aspheric elements for mobile phones, where the existing errors are mainly spherical, coma, and astigmatism aberrations.
Development of Android Application Learning Media "Ruang Trigonometri" for Semester I Students of Mathematics

This study aims to (1) produce learning media based on android learning (2) to know the level of feasibility of learning media according to material experts, media experts, and users, (3) to know the effectiveness of learning media to improve the learning outcomes of Senior high school students. This development study follows the steps developed by Alessi and Trollip, consisting of three stages: planning, designing, and development. Initial product validated by media expert and material expert then revised. The next stage is a small group beta test carried out to ten prospective users and tested on 5 users. Furthermore, test against 20 students. The results showed that (1) android-based mobile learning products packaged in android package format (apk) using app geyser software. (2) mobile learning product is considered feasible as a learning media based on the assessment of media experts 3,9 and material experts 4.2 with the category of very good. (3) the effectiveness of the product is evidenced by the increase of learning outcomes to reach the average score of pretest score 65 and post-test of 80
A Systematic Literature Review of Different Machine Learning Methods on Hate Speech Detection

Hate speech is one of the most challenging problem internet is facing today. This systematic literature review examine hate speech detection problem and will be used to do an experimental approach on detecting hate speech and abusive language. This work also provide an overview of previous research, including methods, algorithms, and main features used. We use two research questions in this literature review which will be the foundation of the next experimental research. Correctly classifying a piece of text as an actual hate speech requires a lot of correctly labelled data. Most common challenges are different languages, out of vocabulary words, long range dependencies and many more.Â
Pendeteksian kecurangan laporan keuangan dengan menggunakan model beneish m-score: perspektif fraud diamond

Purpose: This study aims to prove whether pressure, opportunity, rationalization and capability elements of fraud diamond theory related to financial statements fraud. Research methodology: This associative research uses quantitative data with sources from company website and the Indonesia Stock Exchange (IDX). 55 companies listed in the infrastructure, utility and transportation sectors on the IDX during the 2016-2018 period used as the population in this research, with a total of 153 observations as sample. This research used logistic regression with IBM SPSS Statistics 26 program. Results: This research shows that only financial stability has positive effect on risk of commiting fraud, while the variables of natures of industry, rationalization and capability have no association with the financial statement fraud. Limitations: The measurement of the dependent variable uses Beneish M-Score, a probability model, therefore it is not 100% accurate; it is limited to the sector and period under study; and the low coefficient of determination in this study. Contribution: Providing empirical evidence about factors that support the occurrence of commiting fraud which will help investor and financial service authority. Keywords: Fraud, Fraud Diamond, Financial Statement, Beneish M-Score
Automated Answer-Checker

We have seen that a number of students apply for various examinations which may be institutional, non-institutional or even competitive. The competitive exams mostly have objective or multiple choice questions (mcqs). The automation of scoring of subjective or descriptive answers is a need considered nowadays. This paper focuses on designing an efficient algorithm that will automatically evaluate the answers given by students and assign a score based on the AI technologies which are as good as scores given by a human being. Herein the concept of automatic text similarity has been used to establish an application that would check the answers of provided questions automatically and decide the correctness of the answers.
Form deviations caused by lateral displacement errors in annular subaperture stitching interferometry

Annular subaperture stitching interferometry (ASSI) is a common approach for the measurement of aspherical surfaces. A common obstacle of ASSI is the occurrence of lateral displacement errors when the sensor or specimen is repositioned between the subaperture measurements. Our contribution focuses on modeling of the statistical displacement errors. A virtual experiment is presented simulating the propagation of the displacement errors through a cumulative and a global stitching algorithm to the retrieved surface form. For the considered experimental setup, the uncertainty in lateral position depends on the positioning uncertainties of the employed motion system and the uncertainty in the absolute distance measurement between the sensor and specimen. The lateral displacement uncertainty is determined experimentally employing a calibratable lateral grating. Thus, it is traceable to the SI unit of the length (meter). The experimental results show that the lateral displacement errors may be modeled by a normal distribution, and the results of the virtual experiment indicate that the statistical lateral displacement errors transfer linear through the stitching procedure and also cause a normal distributed topography error. This enables the assignment of an expanded uncertainty to each individual sample point employing the Zernike polynomial expression of the topography measurement.
Generative Networks and Royalty-Free Products

In recent years, with the increasing power of computers and Graphics Processing Units (GPUs), vast variety of deep neural networks architectures have been created and realized. One of the most interesting and generative type of the networks are Generative Adversarial Networks (GANs). GANs are used to create things such as music, images or a film scenerio. GANs consist of two networks working simultaneously. Generative network captures data distribution and discriminative network estimates the probability of the Generative Network output, coming from training data of discriminative network. The objective is to both maximizing the generative network products reality and minimize the discriminative network classification error. This procedure is a minimax two-player game. In this paper, it has been aimed to review the latest studies with GANs, to gather the recent studies in an article and to discuss the possible issues with royalty free products created by GANs. With this aim, from 2018 to today, the studies on GANs have been gathered to the citation numbers. As a result, the recent studies with GANs have been summarized and the potential issues related to GANs have been submitted.
A framework for Tourism electronic marketing in Jordan.

This study aimed to explore the impact of the electronic marketing mix on tourist attitudes towards tourism in Jordan. The paper conveyed interviews with tourists who had visited Jordan. The researcher used a set of questions to measure the attitudes of tourists towards tourism in Jordan, how the elements of e-marketing affect those attitudes. The researcher designed the interview using the method of the open-ended questions. A total of 48 tourists interviewed, their answers interpreted using the content analysis method. The results revealed that the elements of the marketing mix affect the attitudes to a large extent. The accuracy of the information, price, online payment, website, and personal preferences affect the trends of the tourists. The results revealed that the demographic variables do not represent any difference in these attitudes. The discussion presented and the recommendations introduced to decision-makers.&#x0D;
Morphotectonic Characteristics Of Cisadane Watersshed Based On Satellite Images Analysis

Cisadane Watershed is one of the most rapidly growing areas and infrastructure development, and has developed as a residential, industrial, administrative centers and other economic activities. The purpose of this paper is to use remote sensing satellite imageries to identify the morphotectonic characteristics of the Cisadane watershed both qualitatively and quantitatively. Processing stereomodel, stereoplotting and stereocompilation on TerraSAR-X Digital Surface Model (DSM) and SPOT 6 imageries, produced the Digital Terrain Model (DTM) image, which has not been affected by land cover. Fusion of the DTM and Landsat 8 RGB 567+8 images is used to interpret the distribution of lithology, geomorphological units, and lineaments, which are an indication of geological structures. The morphotectonic characteristics of sub-watersheds qualitatively was carried out a bifurcation ratio calculation (Rb) which indicates tectonic deformation. Based on the analysis of satellite images both qualitatively and quantitatively, the morphotectonic characteristics of the upstream, middle and downstream Cisadane Watershed have been deformed.Keywords : satellite images, morphotectonic, DSM, DTM, Cisadane Watershed.
Sistem Pakar Deteksi Penyakit Diabetes Mellitus (DM) menggunakan Metode Forward chaining dan Certainty factor Berbasis Android

Excess sugar consumption will affect the body's resistance with predicted dangers such as diabetes. Diabetes is a disease that is a quite a dangerous cause of the failure of the pancreas to produce the hormone insulin. Information regarding the achievement of blood sugar targets that must be understood by some people is around 80-130mg / dL because of the lack of effectiveness in consulting directly with experts, the aim of this study is to make a problem solving using an expert system by applying the forward chaining method and certainly a factor. Also implemented on the Android operating system so that the use of every detail of this application can be accelerated by the hand with a smartphone. As a result, every user of this application can ask questions that can diagnose Diabetes Mellitus.Keywords:Expert System, Forward chaining, Diabetes Mellitus Detection, Certainty factor, Android.
GENERAL CHARACTERISTICS OF FUTURE THEATER PROFESSIONALS TRAINING IN THE UNITED STATES

The article analyses the main features of professional training of future theatre professionals in the context of the historical formation of organizations involved in the development of various acting and public policy and a description of the qualifications of actors. On the basis of the carried-out research the basic factors which determine development of sphere of preparation of future experts of theatrical art are defined. In order to determine the main factors in the development of professional training of theatrical artists, the author made a brief retrospective analysis of the key stages of development of this process, which include: the League of Professional Theatre Training Programs, BFA and MFA, x and 70's; development of a network of permanent companies of full-time actors who perform culturally significant work and are concentrated in the region and the community; creation of the Department of Scientific and Cultural Support, which takes care of the financing of theatrical events and events. It is established that at the present stage in the United States educational policy to develop and support art institutions, institutions and organizations; at the state level the role and significance of art in general and theatrical art in particular are defined. It is determined that at the present stage an important role in the implementation of US educational policy in the training of future theatre professionals is played by the National Endowment for the Arts, whose priority is to involve young people and children in early childhood. The National Foundation for the Arts monitors the state of theatrical art in the country, conducts research in the field and develops a strategy for the further development of theatrical art.
Research on the Training Mode of Product Design Talents Based on the Mode of Sino Foreign Cooperation in Running Schools

As an application-oriented major with strong practicality, product design specialty is oriented to cultivate compound senior professional and technical talents with solid scientific and technological foundation and artistic innovation ability, and pays attention to the system technology of efficiency and benefit research. Practice teaching occupies a large proportion for the traditional "inculcation" theoretical teaching mode has been unable to meet the needs of talents in the rapid changing of the market. At present, under the mode of Sino foreign cooperation in running schools, the effective integration of international talent outlook, quality views and high-quality education resources at home and abroad has greatly improved the quality and level of training for product design talents. This paper focuses on the issues related to the training mode of product design talents under the mode of Sino foreign cooperation in running schools.
Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes

The presence of correlation is known to make privacy protection more difficult. We investigate the privacy of socially contagious attributes on a network of individuals, where each individual possessing that attribute may influence a number of others into adopting it. We show that for contagions following the Independent Cascade model there exists a giant connected component of infected nodes, containing a constant fraction of all the nodes who all receive the contagion from the same set of sources. We further show that it is extremely hard to hide the existence of this giant connected component if we want to obtain an estimate of the activated users at an acceptable level. Moreover, an adversary possessing this knowledge can predict the real status (active or inactive) with decent probability for many of the individuals regardless of the privacy (perturbation) mechanism used. As a case study, we show that the Wasserstein mechanism, a state-of-the-art privacy mechanism designed specifically for correlated data, introduces a noise with magnitude of order $\Omega(n)$ in the count estimation in our setting. We provide theoretical guarantees for two classes of random networks: Erdos Renyi graphs and Chung-Lu power-law graphs under the Independent Cascade model. Experiments demonstrate that a giant connected component of infected nodes can and does appear in real-world networks and that a simple inference attack can reveal the status of a good fraction of nodes.
The Use of Floating Solar Panels in Hot Regions Such as Iraq to Benefit in Cooling the Panels and Increasing Their Efficiency

The operating of photovoltaic panels (PV) comes with a serious contradiction. This system of solar PV panels prefers high radiation to generate electricity, but when rising their operating temperature by negative effects on their efficiency. Thus, one of the major working barriers for PV panels is overheating because of surplus solar irradiation. To get rid of the problem of overheating of the panels, we propose a new design that floats on the surface of the water floating photovoltaic panels (FPV) to take advantage of the nature of water in heat transfer, thus cooling the panels and raising the efficiency of the panels. For the purpose of this study, we proposed one of the regions of central Iraq, namely the Marsh Al-Dalmach, which is located in Wasit province, and it is one of the areas rich in solar radiation (2150 kWh/m2/year) and the length of daylight hours more 4000 operating hours during the year. After conducting a survey around the area and collecting the necessary data for use in programs such as Homer and Matlab, great results were obtained, as this design of the stations contributes to reducing temperatures and raising the efficiency of the panels from 15% to 24%.
USE OF VISUALIZATION TOOLS IN THE EDUCATIONAL PROCESS

An article integrates data on visualization tools used in the educational process of highschool students, particularly in the field of medicine. The role of visualization in theformation of professional competencies of students is also shown in the paper.Objective – analysis of scientific papers that describe the possible visualization toolsin the educational process during the explanation of new material, generalization,systematization and testing of knowledge and prove their role as the acquisition ofknowledge, skills and abilities of students.Conclusions. There is a significant choice of teaching methods and tools in the arsenalof a high school teacher now, that considerably facilitates the perception of educationalmaterial by the students and contributes to its better acquisition. One of such effectivemethods is visualization by means of multimedia presentations, videos and interactivetechnologies. This approach will contribute to the better formation of the students’professional competencies, ability to analyze and think critically.
Business Process Modeling During Bachelors Training in “Business Informatics” in the Con-text of Digital Transformation of Enterprises

Purpose of the study. The aim of the study is to analyze the effectiveness of the joint use of the competence-activity approach and interdisciplinary connections in the formation of model-ing skills in the field of enterprise engineering and reengineering of business processes in the edu-cational process of the university. The relevance of the problems outlined in this article is determined by the need to develop human resources in the IT industry and to continuously improve the quality of training specialists in this area. The object of the research is the preparation of full-time students of educational institu-tions of higher education in terms of the formation of skills in systemic and business analysis of a digital enterprise as an object of economics and management. Materials and research methods. The article analyzes the possibility of effective use of the competence-activity approach and interdisciplinary connections in the educational process when developing modeling skills as part of the research work of bachelors in the direction of “Business Informatics”. Results. Taking into account the analysis of the experience of using the competence-activity approach and interdisciplinary relations, there are shown the prospects of their joint use in the educational process in the formation of modeling skills in the field of enterprise engineering and reengineering of business processes. The structure of the research work of students and the sequence of stages of modeling are proposed, which have proven themselves well at the Business Informatics Chair and Production Management Systems. Conclusion. In the transition to the digital economy, the key difficulty in our country is the lack of qualified and competent personnel. It is necessary to correctly form the approaches to the training of IT industry specialists. The joint use of the competenceactivity approach at the Na-tional University of Science and Technology “MISIS”, which implies the formation of knowledge among students in the process of developing a process information system project and interdisci-plinary relations, has confirmed its effectiveness. The experience of using business process mod-eling in the preparation of bachelors, training with specialty “Business Informatics” is generalized and a sequence of modeling steps is proposed, which allows to consider and comprehensively de-scribe a digital enterprise as an object of economics and management in the form of architectural models, as well as an approach to the formation of skills in modeling and business management processes of the enterprise for students. This approach made it possible to involve students in the process of active learning, im-prove the process of forming key competencies, significantly improve the quality of theses and their practical significance, as well as increase the level of teaching compliance with world trends in the era of digital transformation.