Reviewerly/exHarmony huggingface dataset:
ANALISIS MULTIRESOLUSI WAVELET DENGAN TRANSFORMASI WAVELET DISKRIT BERBASIS GUI R (STUDI KASUS: INFLASI DI INDONESIA PADA PERIODE OKTOBER 2007-MEI 2018)

Lately, the wavelet applications are widely used in statistics, one of them is discrete wavelet transform (DWT) which is a non-parametric method for signal analysis, data compression, and time series analysis. As technology becomes more advanced, a software is necessary to support the statistical analysis by such method, one of them being the open source based R. It is often used in statistical computing with command line interface (CLI) which requires the R user to remember the names of syntaxes and functions. It becomes less effective when there are many related statistical analysis involved, so graphical user interface (GUI) is needed to access all of them easily. The testing of multiresolution analysis by DWT for Haar, Daublets, and Coiflets filters with levels 1-6 had been performed by using the inflation data in Indonesia during October 2007-May 2018 taken from Bank Indonesia website. The result shows that the sixth level of DWT gives the best estimation for each filters, and Daublets 20 is the best filter for overall estimation with MSE, MAPE, and MASE values are 0.05755, 3.40678, and 0.35343 respectively. The packages for GUI construction in R are wavelets and shiny. Based on its usage, the GUI is capable of processing the chosen analysis and showing the valid output.
An Empirical Study on the Prediction of Farmers' Ability to Acquire Loans in the Yanliang District Based on Cloud Model

Formal lending in rural finance is a powerful way to serve "agriculture, countryside and farmers" and the key to promoting rural economic development.Farmers' demand for funds is expanding day by day.However, there are still some problems caused by information asymmetry in rural financial supply.Through the collation of 265 questionnaires of farmers in Yanliang, Shaanxi Province, and using Logistic model, this paper empirically analyzed the influencing factors of farmers' household characteristics, production characteristics, material capital characteristics and social relations on their loan ability, so as to get the index system of loan forecasting.The cloud model is introduced to solve the fuzziness of some influencing factors.The ability of farmers to obtain loans is divided into five levels.The comparative verification shows that farmers have strong demand for loans but low satisfaction rate, and the financial products of banks need to be improved.At the same time, the model has certain practicability and reliability, which provides a method for farmers' credit qualification evaluation.
Knowledge Enhancement and Mitigation Strategy of Volcano Eruption Disaster Based using Macromedia Flash Media

Merapi is the most active mountain in the world that is essential to develop a learning medium of volcanic eruption disaster mitigation to clarify the material presented.This research is a research and development.It aimed to investigate the effectiveness of Macromedia flash based learning media.The development phase used the ADDIE model.The findings indicate that Macromedia flash based learning media are suitable to be used as learning media.This can be seen from: first, the material expert's validation, which obtained an average of 83.4% and the media expert's validation, which obtained 82.42% with a very appropiate category.Second, the teacher's response to the learning, which obtained a very appropiate with the percentage of the material indicator of 85%, the interest of 86.6%, and the suitability of the media with the material of 85%; and third, the students' responses indicate that the media indicators obtained 87.5% with very appropiate categories, while media indicators and readability obtained 70% with appropiate categories.Macromedia flash-based learning media effectively increase the knowledge of the volcanic eruption disaster with an increase in learning outcomes in the experimental class of 6.25 while the increase in the control class is 2.7.
Signature Identification with Gray Level Co-ccurrence Matrix and Extreme Learning Machine

Identification of the signature is a process used to identify the signature of a person.The Identification of the signature can be divided into two parts.Identification signature off-line and the Identification of signatures on-line.Forgery of signatures is still common in data security systems.So, we need an approach to improve the accuracy of signature recognition on Extreme Learning Machine algorithms.This study use a gray level co -occurrence matrix (GLCM) for feature extraction and modification of Extreme Learning Machine (ELM) for recognition.ELM is a new learning method of a neural network or commonly called the Single Hidden Layer Feed forward Neural Networks (SLFNs).From the experiments the identification of the signature using the gray level co-occurrence matrix (GLCM) and signature classification using extreme learning machine with the addition of elementary transformations showed that the accuracy on identification of the signature is 43% using of features contrast, correlation, energy and homogeneity, while using just ELM accuracy is 36%.
KOMPARASI IKON CABANG OLAH RAGA ASIAN GAMES 2018 JAKARTA-PALEMBANG DAN ASIAN PARA GAMES 2018

Along with the development of technology and the world economy, the use of icons is often found in the creative industries. Icon application can be of various uses, ranging from application icons for devices, sign systems, software, road markings, and others. According to Van Leeuwen, iconography means "writing pictures", often refers to the activity of describing and classifying images. One of the uses of icons in the industrial world can be seen at the Asian Games &amp; Asian Para Games 2018. The icons used at these events are used to represent each sport that is contested. Although it is an icon with the same type of sport, there are different depictions on these icons. This study aims to compare and determine the differences in the 2018 Asian Games &amp; Asian Para Games sports icons, and see which icons can better represent the sport branches they are competing against.
Research on the Reform and Innovation of Practical Teaching Mode for English Education Major

&lt;p&gt;Based on the reality of English teaching in middle schools, this paper conducts a questionnaire survey on the students majoring in normal schools who have been teaching for three months and the current situation of English teaching in middle schools. Starting from reflecting on the curriculum setting of practical teaching in the training program of this major and combining with the analysis of the investigation of the present situation of English teaching in middle schools, we explore the reform and innovation mode of practical teaching in English Education major in universities, and put forward a comprehensive reform of practical teaching mode, i.e. the teaching mode of "covering the whole course of practical teaching", so as to promote the basic practice of encouraging students to complete practical teaching activities.&lt;/p&gt;
An automatic stopping criterion for nonlinear anisotropic diffusion

Nonlinear anisotropic diffusion (NAD) filtering is a procedure based on nonlinear evolution PDEs which seeks to improve images qualitatively by removing noise while preserving details and even enhancing edges.However, well-known implementations are sensitive to parameters which are necessarily tuned to sharpen a narrow range of edge slopes; otherwise, edges are either blurred or staircased [Kee2002].One important parameter is the iterations number, for that reason, in this paper a stopping criterion to halt the diffusion process is proposed.To meet this goal, two stopping criteria were compared.The first is the stopping criterion proposed by Joao et.al. [Joã2016], which is based on the Mean Squared Error (MSE).The second is our proposed method based on the CIRR contrast measure.To this end, a comparative analysis of five diffusion methods is performed.Four of them are nonlinear anisotropic diffusion methods and the fifth is the Perona-Malik method.According to the tests performed, the number of iterations required by the smoothing algorithms using the proposed stopping criterion is lower.
Research on Model Design about Learning Result Prediction and Intervention Based on Dynamic Data Mining

Predicting the academic performance of online learners and promptly intervening and guiding them is an effective way to improve the effectiveness of online learning.How to predict the academic performance and behavior of online learners, implement academic early warning based on prediction results, and provide evidence for teaching decision-making is one of the problems that network education needs to solve, and also an important research issue in educational big data research.This study uses the decision tree method in data mining technology to predict the learning behavior and performance of online learners, and constructs adaptive learning outcome prediction and intervention models.The application scenarios of the model are analyzed from the perspective of curriculum developers, teachers and students.
Floor Map Visualizations of Medical Volume Data

Typically, volumetric medical image data is examined by assessing each slice of an image stack individually.However, this enables observers to assess in-plane spatial relationships between anatomical structures only and requires them to keep track of relationships along the third anatomical plane mentally.Therefore, visualization techniques are researched to support this task by depicting spatial information along the third plane, but they can introduce a high degree of abstraction.To overcome this, we present a novel approach that transforms image stacks with labeled anatomical structures into maps with a three-dimensional layout, namely floor maps.Since this approach increases the visual complexity under certain conditions, some clinical application scenarios, e. g. diagnosis and therapy planning, probably will not benefit.Thus, the approach is mainly aimed to support student training and the generation of clinical reports.We also discuss how to enhance the slice-based exploration of medical image stacks via floor maps and present the results of an informal evaluation with three trained anatomists.
Model of user’s smart education system and evaluation of its implementation

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SAIFU: Supporting Program Understanding by Automatic Indexing of Functionalities in Source Code

An extracted set of program elements almost always include a set of API method calls, where Application Programming Interfaces (APIs) provide commonly used software components.Names of API methods usually possess useful information for grasping their behaviors.In addition, names of packages and classes to which those methods belong can be utilized to extract a suggestive summary of the part of the program from which the set of program elements
ALGORITHMIC COPYRIGHT ENFORCEMENT ON YOUTUBE: USING MACHINE LEARNING TO UNDERSTAND AUTOMATED DECISION-MAKING AT SCALE

This paper presents the results of an investigation of algorithmic copyright enforcement on YouTube. We use digital and computational methods to help understand the operation of automated decision-making at scale. We argue that in order to understand complex, automated systems, we require new methods and research infrastructure to understand their operation at scale, over time, and across platforms and jurisdictions. We use YouTube takedowns as a case study to develop and test an innovative methodology for evaluating automated decision-making. First, we built technical infrastructure to obtain a random sample of 59 million YouTube videos and tested their availability two weeks after they were first published. We then used topic modeling to identify categories of videos for further analysis, and trained a machine learning classifier to categorise videos across the entire dataset. We then use statistical analysis (multinomial logistic regression) to examine the characteristics of videos that are most likely to be removed through DMCA notices, Content ID removals, and Terms of Service enforcement. This interdisciplinary work provides the methodological base for further experimentation with the use of deep neural nets to enable large-scale analysis of the operation of automated systems in the realm of digital media. We hope that this work will improve understanding of a useful and fruitful set of methods to interrogate pressing public policy research questions in the context of content moderation and automated decision-making.
An Efficient Tuning Framework for Kalman Filter Parameter Optimization using Design of Experiments and Genetic Algorithms

The Extended Kalman Filter (EKF) is currently a dominant method of sensor fusion used for navigation of mobile devices, robotics and autonomous vehicles. One navigation system involves the EKF fusion of an Inertial Navigation System (INS) with a Global Navigation Satellite System (GNSS) to perform 3D pose estimation, which is essential to practical applications like autonomous vehicles and UAVs. This system involves using the INS to predict pose changes and uses GNSS measurements when available to correct for estimation drifts and sensor errors. The performance of the state estimation is heavily dependent on the accurate selection of EKF parameters, leading to the optimal selection of parameters being a critical factor in the design and use of the EKF. In this paper, a methodical and efficient method of EKF parameter tuning is presented. The tuning framework uses nominal parameters generated by Gauss Markov (GM) and Allan Variance (AV) methods that are tuned by Genetic Algorithms (GA) accelerated by a Design of Experiment (DoE) technique to efficiently optimize EKF parameters. This framework has been implemented in MATLAB and tested using simulations and real data. The results demonstrate that GA tuned parameters increases accuracy substantially, and that the DoE technique consistently improves the convergence behavior of the GA.
Learning Discourse Analysis by Applying Metaphorically-Based Materials

The objective of the study is to investigate the effect of learning Discourse Analysis (DA) by applying metaphorically-based materials. Both the design of qualitative and quantitative study is applied in the present study with 60 student subjects of English Literature Study Program ofthe Faculty of Languages and Arts Universitas Negeri Medan, Indonesia. The subjects were divided into two groups: Experimental and Control Group, each with 30 sudents which is parallel in terms of level of intellectuality and learning facilities. The Control Group studentswere taught the lecture of DA by applying conventional material and model of learning or lecturing whereas the Experimental Group were taught by applying metaphorically-based materials of DA. The students’ achievements were obtained by administering the test and the scores of the two groups were compared and processed by applying t-test at the significance level of a = 0.05 with two-tailed test. It is found that the t-obs value is 2.764 exceeding or being greater than that of the t-tab value of 2.00 (2.764&gt;2.000) where the Ho is rejected implying that the Ha is accepted verifying that learning the lecture of DA is significantly more effective by using metaphorically-based materials than by applying conventional materials or lecturing.
Language Ideology of Tengger Community in Tutur District

This research entitled Language Ideology of Tengger Community inTutur District focuses on one of the new trends called language ideology.The phenomenon of language ideology is also found in a district in Pasuruan city in the East Java Province.The district is Tutur where it is a haven for some remnants of native old Javanese of Hindu religion live in peace with the Muslims.This research is aimed at studying the proofs of language ideology is used in Tengger community in Tutur District in Pasuruan and how the language ideology maintains the self-identity in a certain community.The theories used in this research cover linguistic ideology or language ideology and speech community.This descriptive qualitative research made use of depth interview as a means of data collecting technique.Based on the research findings, this research studies that the awareness of religious revivalism in 1990s gives an implication of a need to have more piety and social cohesiveness among the Hindus in Tutur, and also the awareness to maintain their Hindus' identity by converting Islamic terms into Hindus' in which they can use in their own society as the language ideology.
The impact of school library on development of entrepreneurial skills in students

Entrepreneurial skills are among the most important elements of development of each individual, both on a business plan and in any other segment of life. To be an innovative, creative and active member of society and community, prepared to constantly develop existing and create new knowledge and skills, are the fundamental determinants of overall social and economic progress. The aim of this paper is to highlight the importance of impact of school library on development of entrepreneurial skills of each individual, which should be encouraged through education from the earliest age in order for the young person to develop a thinking ability that leads to success, inventive solutions to any life problem, worked-out planning and organization strategies, real risk acceptance and responsible behavior towards oneself and society before starting an independent life.
DEVELOPING STUDENTS’ WRITING SKILL THROUGH JIGSAW, MIND-MAPPING, AND ROUNDTABLE TECHNIQUES

Writing skill seems to be a difficult skill for many students. Whereas, they are demanded to be able to write at text level. This study investigates how students’ writing skill can be developed through the combination of jigsaw, mind-mapping, and roundtable techniques. The aim of the study was to find out in what ways the combination of jigsaw, mind-mapping, and roundtable techniques can develop students’ writing skill. Moreover, this study belonged to a pre-experimental study and the instruments employed in this study were tests and field notes. The results of the study showed that almost all of the students made some improvements after the treatments. All aspects which comprised grammar; mechanics; style and quality of expression; organization; and content aspects were improved. In addition, the highest improvement belonged to grammar aspect (30.73%). Furthermore, based on the field notes, the students gave positive responses towards the treatments and the treatments were worthwhile for the development of the students’ writing skill. Based on the results of the study, it can be concluded that the combination of jigsaw, mind-mapping, and roundtable techniques can develop students’ writing skill in many ways including grammar, mechanics, vocabulary, organization, and content aspects.
Innovation and Practice in Teaching and Research of Programming Public Course Guided by the Construction of Service Specialty

With the popularization and nationalization of higher education, the cultivation of applied and innovative undergraduate talents has become an issue of great concern to universities, employers and students.Based on the analysis of the current situation of the teaching of computer programming for applied undergraduates, we take the construction of service specialty as the main line, combine social needs and implement order-based Teaching for different majors of students.In order to break through the disadvantages of traditional teaching mode and take training applied talents as the ultimate goal, a reasonable innovative 135 teaching mode of public computer programing course has been constructed, and the students' comprehensive quality and comprehensive ability have been comprehensively trained and improved.
Real Time Pilgrim Health Monitoring and Tracking the Position using GPS and Biomedical Sensor

The main aim of this paper is to monitor the parameters like body temperature, heartbeat rate and track location of the pilgrim. The pilgrim body temperature, heartbeat rate are detected using a particular sensors. Every year number of pilgrims gathers for pilgrimage in blessed area. Finding the location and movement of such large number of pilgrims is important for the establishment who is managing the whole event and also pilgrim relatives. The organizing establishments face so many problems like crowd, security and detection of pilgrims. A number of technologies are used during Hajj in Saudi Arabia to reduce such problems. The goal of this paper, is to review the past work of pilgrim tracking and health monitoring systems, to classify various methodologies and identify new trends.
Case Study on the Creation of Class Corner Environment in Kindergartens

Corner activities have various forms and rich contents, which have far-reaching significance for children's education and development.The creation of corner environment directly affects the quality and effect of corner activities.In this paper, a case study of a large class in Y kindergarten of a municipal kindergarten is carried out.The results show that the corner space layout of the large class in Y kindergarten is scientific and reasonable, the concept is clear, the types are diverse, and the materials are abundant to meet the needs of children's activities.There are also some problems, such as the single concept of teachers, the lack of innovation, the long working intensity, the difficulty of concentrating energy, the lag of teaching and research in the corner of the kindergarten, and so on.Some countermeasures and suggestions are put forward from the aspects of the professional growth of teachers and the optimization of the management of kindergartens.
Cognitive Reflection in Project Competencies: Questions of Planning Socio-Pedagogical Support of Students in the University Environment

The researchers with the quality of reflection of students in the planning system of socio-pedagogical support of the formation of their project competence. The study was conducted to determine the pedagogical actions necessary to help students to understand the emerging professional and career situation based on the reflection of what is happening. The author’s leading idea is to design a system of socio-pedagogical support for the formation of students ‘ project competence based on the data of diagnostics of the quality of their cognitive-reflective activity and the organization of the development of the theoretical model of maneuvering between the predicted and spontaneous possibilities in the design of life strategy. The researchers clarify the concepts of «cognitive reflection», «theoretical model of maneuvering between predicted and spontaneous opportunities in the design of life strategy»; created and tested a technique for diagnosing the quality of cognitive reflection of students of personal situations in the process of acquiring a profession. In the practical part of the work, the authors propose a system of necessary pedagogical actions to help students understand the emerging life situation on the basis of reflection of what is happening to choose an effective professional career strategy. The study involved 140 students majoring 5B012300-Social pedagogy and self-cognition (73 students of al-Farabi KazNU and 67 students of Abay KazNPU). &nbsp; Key words: social and pedagogical support, project competence, educational and professional activity, autobiographical knowledge, cognitive reflection &nbsp; &nbsp; &nbsp