Reviewerly/exHarmony huggingface dataset:
Fast Nonsingular Terminal Sliding Control for Permanent Magnet Linear Motor via Extreme Learning Machine Estimator

This paper proposes a novel extreme-learning-machine-based fast nonsingular terminal sliding mode (FNTSM) control strategy for permanent magnet linear motor (PMLM) with partially known dynamics. The proposed control strategy consists of two components: a FNTSM controller, and an estimator based on extreme learning machine (ELM), which is implemented to estimate the equivalent control of the FNTSM control. Compared with conventional sliding mode control implemented, the proposed control strategy not only assures the finite-time error convergence and strong robustness, but also requires no prior knowledge of the system parameters since the ELM is used to estimate the equivalent control in the process of designing controller. Numerical simulation results are given to verify excellent tracking performance of the proposed control strategy and show its advantages over some existing approaches.
PENGARUH PENGGUNAAN SMARTPHONE TERHADAP MOTIVASI BELAJAR SISWA PADA MATA PELAJARAN BIOLOGI DI SMAN 2 TANJUNGPINANG

This study aims to determine the effect of using a smartphone on motivation of students in biology subjects at SMAN 2 Tanjungpinang. Research was conducted at SMA Negeri 2 Tanjungpinang with a sample of 243 students. Type of research is an ex post facto research with a quantitative approach. The research data were obtained from a smartphone questionnaire and a learning motivation questionnaire. Based on the results of data analysis using SPSS for Windows version 22, the results show that there is a positive and significant influence on the use of smartphones on student motivation with a significance of 0,000 t-table is 6.832> 1960. The effect of smartphone use on learning motivation was in the very low category of 16.2% .
The effectiveness of the Multisensory Method on Early Reading Ability in 6-7 Years Old Children

Early reading is an important primary capital that students have in conducting their academic knowledge, but there are still many elementary school students who have not mastered the skills. Using the right reading method can support children's skills in reading. The purpose of the study is to determine the effectiveness of the Multisensory method on the early reading skills in 6-7 years old children of the State Elementary School 10 Ganting Bigau and the State Elementary School 19 Koto Tuo, the Sulit Air Village, District X Koto diatas, the Regency of Solok. Withdrawal of samples with simple random sampling technique. Data collection is conducted by adapting instruments from ERSI (The Early Reading Screening Instrument). The data analysis technique is an independent T-test that is to see a comparison of differences in the average score. The results showed that the Multisensory method was effective in developing early reading skills in Grade 1 students at elementary school. The use of multisensory reading methods can be an alternative to the choice of reading by the teacher in improving the student's initial reading.
Exploring Embodied Sonic Meditation through time and space

Background: Exploring Embodied Sonic Meditation through time and was premiered as part of the International Conference on Movement and Computing (MOCO) at Arizona State University (ASU) in 2019. This project is a collaboration with Dr Jiayue Cecilia Wu (University of Colorado) and Dr Lauren Hayes (ASU). Although improvisation is at the foreground the work is divided into clear sections that are articulated musically and using live moving image projection on a substantial scale. Digitally generated video is displayed using floor-scale projectors that encapsulate the performers and the audience i.e. all humans sit within the frame of the video feed and additional screens surround the performance space. This work was developed specifically for the 8.2 Meyer surround-sound speaker system/ and video projection capabilities of the iStage at ASU. Contribution : This project artistically explores new ways of using human movement data to manipulate auditory and visual feedback in real-time in a group performance. Three different digital musical instruments/audio-visual systems are implemented using body-sensing/movement technology and body-audio-visual mapping strategies. The collaborative performance initiates a dialogue between eastern and western media artists who design and use their own technologies and artistic tools. Through this performance, we explore how individual artists and their systems can work as a whole under diverse cultural backgrounds through their gestures and music expressions.Significance: The International Conference on Movement and Computing (MOCO) is a peer-reviewed international symposium on movement and computing that aims to gather academics and practitioners positioned within emerging interdisciplinary domains between art and science. Exploring Embodied Sonic Meditation through time and was selected for presentation at MOCO in the iStage, a unique and high profile research space in the School of Arts, Media & Engineering @ ASU.
From digital images to barcodes

The recognition of objects in digital images is a key problem in the computer vision.It has received the attention of many researchers in order to evaluate and improve the performance of descriptors, especially that of the shape descriptor.In this paper, we will consider the persistent homology as an algebraic tool measuring the topological features of shapes.To digital images, one can associate cubical complexes instead of triangulation because it reduces significantly the size of complexes.We implement this algebraic characterization by an algorithm that represents any digital image as bar codes in the form of finite union of intervals.The benefits of this algorithm is not only to be the shape descriptor, but also a shape comparator.Indeed, by using the the Bottleneck distance of barcodes, the algorithm allows us to answer how much close or far two shapes are.
A Survey On Various Machine Learning Algorithms

Machine Learning is the field of computer science that gives computers the capability to learn without being explicitly programmed. Machine learning provides the learning ability to computers which invoke human kind of behavior in computers. Machine learning includes number of algorithms which are used to accomplish the specified tasks.
Development theory and methodology in psychological-pedagogical and methodological literature

The priorities of reform of primary education is to create conditions for acquisition by students of new knowledge in the process of learning basic academic subjects, in particular knowledge of the educational area "Natural Sciences". The authors study the scientific and conceptual framework of the study and stated that the content of the school subject "natural Science" in elementary school is the system of concepts that are interrelated and evolve in a logical sequence. These concepts are divided into simple, complex, special and sagaminopteron. Simple concepts carry only one item of knowledge (e.g., type of root system of the plant). The content of each concept develops over time, is complicated and it becomes difficult. Complex concepts contain a few simple (for example, in challenging the notion of "stem – vegetative body" containedknowledge of anatomy, physiology, morphology, ecology, etc.). Special science concepts are complicated. They are assimilated by students when studying one section of subject environmental studies. Sagaminopteron concepts are being formed throughout the 4 years study of the subject Natural, as if they are "pass-through". For example: individual development of organisms, metabolism and energy transformation, and the like. This group of concepts is the most important because it is the basis for the formation of the scientific picture of the world. Analyzed various theories for the formation and development of concepts and focused on theory scholar and author of textbooks on natural Sciences Nicholas Versa. The authors believe that this theory has preserved its relevance and significance to today. In the process of learning concepts, the authors identified three stages: preparatory – the observation of facts, combining them into a group, highlighting common features; the main step is to build the definition of a new concept; the next stage of the deepening, enrichment, accumulation of a large number of distinguishing features.
Unsupervised Learning for Spam Email Filtering

Astounding number of features will have a deleterious effect on some learning classifier's performance, furthermore, the operational time frame during the training process for evaluating the content may be enhanced.A circa-processing period that mostly includes extraction of components and elimination of features in the sector of machine learning consequently plays a significant role in expediting or boosting processing precise classification.The concern addressed throughout this thesis is relevant to the integration of results, prior characterizing machine learning.Feature representation that restores class separability to less dimensionality to detect content.The key benefit with accordance to the envisaged feature representation has always been its rigidity, that mostly empowers data types like those of Random Forest, Assistance Vector Machines, and constraint solver C4.5 to characterize an inbound text as fraud or pseudo-spam at which the component dimension seems to be very limited under a solid truism unaware of the reference source.
Defense Through Diverse Directions

In this work we develop a novel Bayesian neural network methodology to achieve strong adversarial robustness without the need for online adversarial training. Unlike previous efforts in this direction, we do not rely solely on the stochasticity of network weights by minimizing the divergence between the learned parameter distribution and a prior. Instead, we additionally require that the model maintain some expected uncertainty with respect to all input covariates. We demonstrate that by encouraging the network to distribute evenly across inputs, the network becomes less susceptible to localized, brittle features which imparts a natural robustness to targeted perturbations. We show empirical robustness on several benchmark datasets.
Common Misconceptions About the Hybrid Cloud | Outer Edge

Over the last few years, in particular, cloud computing has essentially become a ubiquitous part of our lives in many ways. Home computing users can ...
Table detection method based on feature pyramid network with faster R-CNN

Table detection is a crucial step in many document analysis applications as tables are used for presenting essential information to the reader in a structured manner. It is a hard problem due to varying layouts and encodings of the tables. This paper uses Faster R-CNN with the feature pyramid structure as the main network structure to detect the table.It presents a deep learning-based solution for table detection in document images. In order to adapt to different shapes of tables, we classify the tables and preprocess the text with Run Smooth Length algorithm and open source OCR tools. In contrast to most existed table detection methods that only applicable to PDFs, our method can detect document images, which also applies to PDF (because PDF format can be automatically converted to pictures). To evaluate the effectiveness of our method, we tested on ICDAR, UNLV and TableBank datasets, and achieves F1-measure of 92.59% in UNLV, which is higher than some previous methods.
Research on the WEB-based Online Study System Design

The growing development of science and technology has pushed the use and role of computer and network platform into more important status. In view of the many problems existing in the current teaching system, such as teaching mode, teaching activities and teaching content cannot meet the individual learning needs of students and teachers, and the interactive function of the system is inconvenient, this paper puts forward the research based on the new teaching mode to diversify the learning methods, thus arousing the interest and enthusiasm of the learners.
CLASSIFYING AND RATIONALIZING TWITTER SENTIMENT THROUGH CLASSIFICATION ALGORITHMS

Sentiment analysis refers to a classification problem where the main focus is to analyze the sentiment statements which are transferred through the twitter social media. This analysis procedure gives various points of statements from each twit in social media. The huge number of different case of opinions is obtained from the twitter statement and these different opinions are analyzed for predicting the nature of the twit in social media. For a decade, number of different machine learning approaches is used for analyzing and predicting the nature of the twit statements in social media. This paper narrates various conventional twitter sentiment analysis methods with its types
Experimental Study and Finite Element Analysis on Stress Transfer Mechanism of Retard-Bonded Prestressed Concrete Beams

In order to study the stress transfer mechanism of the retard-bonded prestressed concrete beams, a retard-bonded prestressed concrete beam is selected as the test monitoring object in the project site to find the stress change rule of the concrete in the monitoring process, and the stress transfer mechanism of the test beam concrete is obtained, which is compared with the traditional prestressed concrete structure. The finite element analysis software ANSYS is used to model the test beam, simulate the test beam in the stage of tension and bond hardening of slow binder, and compare with the test results. At the same time, simulate the stress of the test beam in the normal use process, analyze the dangerous section of the test beam and prevent in advance.
Embodied Encounters at the Site of Deep Ecology

Based on process philosophy and ecological philosophy, the project explores ecological awareness in the experience of a mountain. The fieldwork takes place at Tvergasteinstjørnet, a mountain area located in Hallingskarven mountain range in southern Norway, over a period of approximately five years. The research aim is to explore, experience and artistically articulate the mountain. This includes the experience of ecological awareness or the sense of being embedded, being part of and being vulnerable. This is art- and practice research where knowledge develops in the interplay between theory, practice and art production. Here, the body and the senses are the primary sources of knowledge. Sensibilisation is to enhance the ability to discern and find meaning in the continuously changing nuances of the environment, and this is both method and aim. Diary notes, visuals and sound recordings, together with readings of literature enhance sensibilisation and awarness. The project explores in what way recording technology, photography, sound and video, facilitates, or distorts awareness of the mountain. Sonic and audiovisual artworks are developed the along the way. The project discusses the use recording technology in a way that enhances ecological awareness. The creative process stimulates reflection and the artistic outcomes contribute to the research findings.
Comparison Between Microscopic and Rapid Test Assay in the Detection of Malaria Parasite Infection in Patient Attending Some Hospitals in Sokoto Nigeria

Malaria is a serious public health problem, this study was aimed at comparing Microscopy and Rapid Diagnostics test in malaria parasite detection in patients in some hospitals in Sokoto, Nigeria.Blood Samples were collected by venipuncture and dispensed into EDTA bottle.Thick blood films were made by adding few drops of anticoagulated blood on a clean glass slides and emulsifying to coin size using a spreader and allowed to air-dry and stained with 10% Geimsa stain for 10 minutes, allowed to air-dry and examined using ×100 objective to confirm the presence of malaria parasites.Of the 100 patients screened, 37% and 24% were positive for malaria using Carestart and SD-Bioline, while 53% were malaria positive by microscopy.Prevalence of malaria parasite by sex was 53.6% and 52.3% in females and males.Malaria prevalence by age was highest among patients aged 11-20, while the lowest prevalence was observed in patients aged 51-60 years.Based on occupation, the prevalence of malaria was highest among unemployed patients 58.5%, followed by 22.6% prevalence of malaria among business men and women.No significant difference was observed in malaria infection by sex, age and occupations P<0.05.The sensitivity and specificity of Carestart and SD-Bioline screening kits were 54.7% and 82.6%, 34.6 and 87.2%.The predictive positive value of Carestart was 78.4% while its negative predictive value was 61.3% in contrast to SD-Bioline with 75% and 54.7% as the positive predictive value and negative predictive value.Rapid diagnostic test are suitable alternatives to microscopy particularly in resources limited rural areas.
Research on book call number recognition under complex color background

Aiming at the problem that the current book call number recognition system does not consider background color interference and intercepts the book number area directly and subjectively, a method is designed to directly process the random image of books on shelf under the complex color background, so as to realize the self localization of the book number area and the identification of the book number. Filter out other color background interference, locate the call number area, and split the spine image and call number characters, and finally use the template matching method to identify characters. The experimental results show that the accuracy of the algorithm is 96.11% and the recognition rate is 90.83%. Compared with the common methods of combining color space and mathematical morphology processing, the accuracy of location is improved by 31.08%, and it is not affected by complex color backgrounds. It has strong antiinterference and high efficiency.
Comparison Simulation Analysis of the Gradual Summation of a Function with Recognition of Direct Extrapolation Via IN Series

A set of data pattern that have the characteristic of a function can be approached using Newton series simulation. When using the Newton series, the simulation result of the summation of extrapolation data can be gradually done in step by step. However, if using the IN series, the simulation result of the summation of extrapolation data doesnt need to be gradually done in step by step. The methodology in this research compares the data pattern from the simulation results of the high degree function with the results of interpolation and extrapolation from the results of the IN series simulation. Futhermore, will be carried out comparison simulation analysis of the summation of the function values gradually with the extrapolation function directly using the IN series. The result of comparison simulation analysis point out that the value of the total summation of data between the gradual and the direct summation is the same, so that the direct sum technique using the IN Series is able to make the total sum process more efficient.
HIGHER EDUCATION IN UKRAINE IN THE CONTEXT OF INTEGRATION AND TECHNICALIZATION OF MATHEMATICS TEACHER TRAINING

The article examines the actual problem of integration and technicalization of mathematics teacher training in the context of higher education modernization in Ukraine. The problem of the thorough training of the future mathematics teacher for professional activity in the context of integration and technicalization of higher education is considered. The basic principles of improvement of the quality of teacher training are highlighted, as well as the specifics of the organization of the educational process in the conditions of the new educational space are defined. The importance of the role of integration and technicalization implementation is indicated for obtaining high mathematical knowledge, which is being improved over time and takes wider forms for the detailed study and application in practice. The essence and peculiarities of training of mathematics teachers in higher educational establishments of Ukraine, based on domestic and foreign experience of studying, are revealed.In order to improve education in Ukraine, it is necessary to use the interstate educational experience that has passed for more than a decade. Integration processes can solve the basic contradictions of education – the contradiction between the infinity of knowledge and limited human resources. The article highlights two important trends that play a significant role in the teaching of mathematics teachers.It is also stated that the teacher should harness the key competencies for the development and implementation of educational technologies in the context of integration and technology in the educational process.
Kemahiran Membaca Pemahaman Siswa Kelas VII Sekolah Menengah Pertama Negeri 4 Tanjungpinang, Tahun Pelajaran 2018/ 2019

Sumiana 2020. “Reading Comprehension Skills Student Class VII Junior High School 4 Tanjungpinang, Lesson Years 2018/2019.”Scrieption.Teacher dan Education Science Mayor. University of Maritim Raja Ali Haji. Dra. Hj. Isnaini Leo Shanty, M.Pd. Indah Pujiastuti, M.Pd.This research is to know how Reading Comprehension Skills Student Class VII Junior High School 4 Tanjungpinang, LessonYears2018/2019. For to reach this aim is research had used method descriptive with quantitative nearby. Technic attractive sampel in this research amount 12% from population amount 339 student from 9 class and each class has total 40. By hipotesis result got difference of result studied Indonesia Languange between students had trained with Understanding Reading Skill and student had practice that method has 0 students (0%); students have value with information less in reading skill gets 3 stundent (7.5%); students have value with information enough in reading skill gets 9 students (22.5%); students have value with information good in reading skill gets 22 students (55%); and students have value with information best in reading skill gets 6 siswa (15%).By result of analysis, sumerate value understanding Reading Skill Student Class VII Junior High School 4 Tanjungpinang, LessonYears2018/2019 is ready tes get amount 81.38. This total has gets from total value students is 3.252,50 share 40 from amount students have ready follow test. So, conclusion has gets that hipotesis understanding Reading Skill Student Class VII Junior High School 4 Tanjungpinang, LessonYears2018/2019 have be high but not low.Key words: Proficiency, Reading Comprehension.
In Dynamic Systems with Fuzzy A - Cutting Determination of Membership Function Ranges

Uncertainties and inaccuracies in the membership function value ranges defined by the expert in dynamic systems cause serious errors in system output.In this study, the fuzzy α-cutting technique was used to determine the ranges of membership functions on the universal cluster and neighborhood values of normal values were calculated for different α cutting coefficients and then neighborhood values were adjusted according to determined step values.Thus, while determining the value range of membership function in dynamic systems, it will be possible to talk about its neighborhood in the values that serve the same purpose.Operation in the dynamic process as wind power installation for Turkey wind energy interval value set in the potential atlas used and α cutting techniques of the gap on the universal set of the determined value with re-calculation and determination are provided.