Reviewerly/exHarmony huggingface dataset:
Application Of Mathematical Morphology Algorithm For Image Enhancement Of Breast Cancer Detection

This study aims to produce an image processing application using Mathematical Morphology to improve the quality of the digital image for breast cancer detection. Medical image is an image produced or used in the medical field. Improving medical image quality is very useful for diagnosis and advanced image processing. Breast healthy is important for women. Breast cancer is the main killer for women. Biomedical breast image data is secondary data. The next process is the initial processing, which is processing that is related to pixel size, gray scale, and so on. The improvement of medical image in this study uses the Mathematical Morphology method which consists of Dilation, Erosion, Opening (Erosion-Dilation) and Closing (Dilation-Erosion) processes. The expected results of this research are medical digital images that have improved their quality as a result of Dilation, Erosion, opening and closing processes.
Getting Started with the Brand Strategy Canvas

Have you ever experienced the overwhelming vastness of a blank page? Maybe it was in a creative writing course in college or maybe just for your company blog. And even though you’ve read lots of blog posts and plenty of books, the words just didn’t seem to flow when you sit down to right.
Application of Graph Coloring in the Course Scheduling Case of Mathematics Education Department in Unai

Courses scheduling is a very important activity in the teaching and learning process in theMathematics Education Department. The teaching and learning process is carried out by allstudents and lecturers, so that the schedule of courses arranged must benefit the lecturers andstudents. If some of the provisions in scheduling are not properly calculated, it will causedifficulty during the scheduling process. These provisions include courses held, number ofclasses available, amount of time available, number of students taking and availability oflecturers who teach. This study aims to create an automation on the course scheduling usingsix stages FAST Methodology which includes Scope Definition, Problem Analysis,Requirement Analysis, Logical Design, Decision Analysis, Physical Design and Integration.The Welsh-Powell algorithm has used which is one of the algorithms in the graph coloringmethod and implemented using C ++ programming. The results of the study show that theprogramme is able to provide a quick and accurate solution for setting up course schedules.The results of this study can provide convenience in managing the right courses scheduling sothat it helps the courses scheduling process to be even better.
WORK ENVIRONMENT AND JOB SATISFACTION OF THE ACADEMIC STAFF IN THE HIGHER EDUCATION

1 Daugavpils University (LATVIA)2 Ural Federal University (RUSSIAN FEDERATION)3 Sapienza University of Rome (ITALY)
“DESIGNSTEM: E-TOOLS FOR INTEGRATED DESIGN AND STEM EDUCATION." AN OVERVIEW OF THE OUTCOMES OF AN ERASMUS+ PROJECT INVOLVING EDUCATORS FROM NINE EUROPEAN COUNTRIES, COMPLETED BETWEEN 2016-2019

“DESIGNSTEM: E-TOOLS FOR INTEGRATED DESIGN AND STEM EDUCATION." AN OVERVIEW OF THE OUTCOMES OF AN ERASMUS+ PROJECT INVOLVING EDUCATORS FROM NINE EUROPEAN COUNTRIES, COMPLETED BETWEEN 2016-2019
USING ICT TO FACILITATE THE INTERNSHIP PROCESS FOR NOVICE TEACHERS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 9679-9687ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2360Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Robust Object Tracking Using Affine Transformation and Convolutional Features

The state-of-the-art trackers using deep learning technology have no special strategy to capture the geometric deformation of the target. Based on that the affine manifold can better capture the target shape change and that the higher level of Convolutional Neural Network (CNN) can better describe semantic information of objects, we propose a new tracking algorithm combining affine transformation with convolutional features to track targets with dramatic deformation. First, the affine transformation is applied to predict possible locations of a target, then a correlative filter is designed to compute the appearance confidence score for determining the final target location. Furthermore, a standard discriminative correlation filter is used to develop the effect of convolutional features, which is more efficient than other methods used for CNN Networks. Comprehensive experiments demonstrate the outstanding performance of our tracking algorithm compared to the state-of-the-art techniques in the public benchmarks.
REAL AND VIRTUAL INTERPERSONAL RELATIONS, INTERNET-MOTIVATION IN UNIVERSITY STUDENTS

1 Moscow State University of Psychology and Education (RUSSIAN FEDERATION)2 V.I. Vernadsky Crimean University (RUSSIAN FEDERATION)
PECULIARITIES OF STUDENTS' READINESS TO WORK IN CONDITIONS OF PRE-SCHOOL INCLUSIVE EDUCATION

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 8108-8114ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1926Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
TRENDS IN THE EDUCATIONAL PROCESS DUE TO 4TH TECHNOLOGICAL REVOLUTION

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 10232-10236ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2502Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Implementation for Quick Response Code

Quick Response (QR) codes are versatile. a chunk of long trilingual text, a connected URL, an automatic SMS message, an identity card or simply regarding any data is embedded into the two-dimensional barcode. as well as moderate equipped mobile devices, QR Codes will connect the users to the data quickly and simply. The operations to retrieve or store QR codes are unbelievably easy and fast, and with mobile devices, build them the best academic tools for teaching and learning. QR codes are all over and most of the people have mobile phones equipped with QR code readers. though QR codes existed for over fifteen years, there arent such a lot of analysis applications during this space.
The Information Security to Software of Crisis Management

This paper deals with security of information in crisis management software.The paper defines types of information in the crisis management and categorizes these according to the needs of protection.In the next part it deals with the crisis management software itself.The paper defines sixt areas according to determination of the appropriate software and engages in relation between these software and information.The paper specifies what software works with what information.The paper works with COBIT methodology, COBIT cube and up to some extent with SWOT analysis.There are discussed particular elements of the COBIT cube and they are applied to the problematics of the crisis management software.The paper demonstrates relations between particular elements of the COBIT cube through examples of the application of the COBIT cube to the problematics of the crisis management software and shows difficulties and problems associated with this.
PCDT da HPN: experiência na elaboração de um protocolo rápido

HPN PCDT: fast protocol development experienceIntroduction: Eculizumab is currently the only treatment available for paroxysmal nocturnal hemoglobinuria (PNH).It was recently incorporated by Conitec and listed in the specialized component of SUS, making it necessary to develop a Clinical Protocol and Therapeutic Guidelines (PCDT), so that the medicine can be distributed to the population within 180 days.In this context, the challenge arises of rapidly developing a robust, evidence-based and society-validated PCDT for a rare disease with major financial impact on SUS. Method:The scope of the PCDT was directed by the incorporation of eculizumab, which defined the beneficiary population and the criteria for its use.The research questions were elaborated and systematic searches were made in the literature.In order to identify the main HPN medical specialists and to validate the scope of the PCDT, the snowball method was used.Then, a panel was held to present the draft of the PCDT with a group of experts, medical societies and patient representatives, to validate the text, clarify critical points and finalize the elaboration of the PCDT.Results: After searching for evidence, eligibility and treatment interruption criteria were established.Through the snowball method, five PNH experts were contacted, representing all five regions of Brazil, and their contributions were used to prepare the draft version of the PCDT.The text was presented and discussed in a 9-member panel to define the final version of the PCDT, which was presented to Conitec and approved by the plenary.In the Public Consultation, of the 309 contributions received, 85% considered the PCDT to be very good or good.
EXPERIMENT ON THE USE OF ACTIVE METHODOLOGIES IN THE COURSE WORK RELATED TO COMPUTER PROGRAMMING

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 4330-4333ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1080Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Τεχνητά νευρωνικά δίκτυα και μέθοδοι βαθείας μάθησης

Deep Machine Learning, which is mainly expressed via the Deep Neural Networks, is a very popular field in Computer Science. The fact that they can solve many problems, which they would be very difficult to solve using conventional programming, makes Deep Neural Networks a very useful tool. This degree thesis focuses on the study and implementation of Deep Belief Networks, both from a theoretical and a practical aspect. Our aim is to investigate and analyze the theoretical background of Neural Networks and how they contribute to the structure of deep neural networks, explaining the specific techniques that they utilize.As a proof-of-concept, we have developed an example of a Deep Belief Network in the Matlab IDE Through this sample network we accurately classify images using a set of 10,000 digital images. Finally, we present the results by extracting the final In-Sample and Out-Of-Sample errors. The thesis structure is as follows: The first chapter covers the theoretical aspects of ANN and deep learning and examines both biological and artificial neural networks. In the second chapter we present all the methods and techniques that design and train a Deep Learning Network. Finally, in the third chapter we develop an example case where a DBN network is built in Matlab and trained to classify digital images. Results and discussion follow.
Upaya Meningkatkan Kemampuan Menyimak Berita melalui Media Audio Visual pada Pembelajaran Bahasa Indonesia Siswa SMP Islam Al-Kautsar Tahun Pelajaran 2018/2019

This study aims to describe the increase in the ability to listen to the news using audio-visual media in class VIII Islamic Kautsar Middle School in Jatirogo District, Tuban Regency . This research is a Classroom Action Research (CAR) which consists of two cycles and each cycle there are four stages namely planning, action, observation and reflection. The subjects of this study were 16th grade students of 16 students. Data collection techniques through observation, interviews and tests. Data analysis techniques include descriptive qualitative and comparative descriptive data, because qualitative descriptive techniques identify the weaknesses and strengths of student and teacher performance during the research action process while comparative descriptive comparing the calculated results in cycle I and cycle II using percentages. Based on the results of the study showed that the results of student achievement and interest in learning increased after the teacher used audio visual media in the first cycle and second cycle. This is indicated by the average percentage value in the pre-cycle reaching 47%, the first cycle reaching 67%, and the second cycle reaching 86%.
ICT AND DIGITAL SKILLS OF UNIVERSITY STUDENTS OF COSTA RICAN EDUCATION

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 945-950ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0294Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Obiective ale analizei trendurilor seriilor de timp discrete

This paper approaches some main objectives of the analysis of trends in discrete time series. A major aspect of this analysis is to identify a mathematical model that describes the persistent long-term movement of the studied variable. The model could reveal some important characteristics of the long-term time series pattern. It may also be useful for predicting the time series future values. Another important aspect of a trend analysis is to detect the significant changes that occurred (or that could occur in the future) in the long-term pattern of a variable.
Penerapan Media Scribe Materi Hak Dan Kewajiban Warga Negara Untuk Meningkatkan Motivasi Siswa Kelas IV Sekolah Dasar

This research is motivated because there is a low motivation to learn grade IV students due to the lack of use of learning media used for teaching and learning by the teacher.  With the application of Scribd learning media, students are more motivated to learn in class. The research method used was Classroom Action Research (CAR) where in this study there were two cycles consisting of planning, implementing, observing, and reflecting in each cycle.  While the subjects in this study were grade IV students, amounting to 20 students.  Then the data collection techniques used in this study are by using observasi and questionnaires. On the results of observations of teacher activity obtained from the results of the first cycle with a score of 41 with a percentage of 64.0% categorized as good and the second cycle the score became 61 with a percentage of 95.3% categorized as very good so thus the observation of teacher activity is said to increase, on the results of observations of student activities  the first cycle with a score of 35 with a percentage of 58.3% was categorized as sufficient, in the second cycle the score became 57 with a percentage of 95.0% with a very good category. Therefore the observation of student activity is said to increase using the media scribe Percentage of students who have learning motivation categories  good and very good in the pre-study reached 40.0% categorized as less, the percentage in the first cycle to 70.0% which has a good category so that there was an increase from pre-study to the first cycle of 30.0%, whereas in the second cycle increased to 85,  0% has a very good category, the increase from cycle I to cycle II is 15.0%.  Thus it can be concluded that the application of scribe media can increase student motivation in the material Rights and Obligations of Indonesian citizens class IV at SDN II Pasinan.
A PUPIL PERSPECTIVE ON THE IMPACT OF A MOBILE PHONE BAN IN A SECONDARY SCHOOL

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 8345-8348ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1983Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Detection of Diseases Caused By Obesity Using Certainty Factor Method

Obesity is overweight as a result of excessive body fat accumulation. Everyone needs some body fat to store energy, as a heat insulator, a barrier to organ shocks and other functions. Many diseases can be associated with obesity, such as diabetes, high blood pressure, coronary heart disease, stroke, and even some cancers. Lack of knowledge and concern for nutritional balance in the body and difficulty monitoring weight development are causes of obesity. The purpose of this research is to develop an application to detect diseases due to obesity using the Certainty Factor method based on perceived symptoms. The system will display amount of confidence in symptoms of the possibility of illness due to obesity suffered. The amount of the trust value is result of calculations using Certainty Factor (CF) method. Knowledge representation used in this study is production rule. The inference method used to get conclusion is forward chaining.
SMART GRID @ HOME - PROBLEM-ORIENTED LEARNING BASED ON A CURRENT SOCIAL THEME

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 5102-5108ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1238Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Conditionally Decorrelated Multi-Target Regression

Multi-target regression (MTR) has attracted an increasing amount of attention in recent years. The main challenge in multi-target regression is to create predictive models for problems with multiple continuous targets by considering the inter-target correlation which can greatly influence the predictive performance. There is another thing that most of existing methods omit, the impact of inputs in target correlations (conditional target correlation). In this paper, a novel MTR framework, termed as Conditionally Decorrelated Multi-Target Regression (CDMTR) is proposed. CDMTR learns from the MTR data following three elementary steps: clustering analysis, conditional target decorrelation and multi-target regression models induction. Experimental results on various benchmark MTR data sets approved that the proposed method enjoys significant advantages compared to other state-of-the art MTR methods.
THE TEACHING INVESTIGATIVE JOURNALISM THROUGH INNOVATIVE GLOBAL TECHNIQUES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 8949-8957ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2145Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
PENGEMBANGAN MULTIMEDIA INTERAKTIF PADAMATERI TEKS NARASI SEJARAH BERBASISLECTORA INSPIRE PESERTADIDIK KELAS V SD

The learning process is not detached from the learning media as a meansof communication used to carry the information of teacher teaching materials tostudents. In the 21st century education teacher at require to master and utilizedigital technology that became an innovation in learning. The use of digitaltechnology in the form of interactive multimedia based Lectora is expected to helpteachers and students in the learning process in the 21st century. The researchaims to develop Lectora -based multimedia and to know Lectora -basedmultimedia feasibility on the historical narrative text learning material. Thisresearch and development uses ADDIE's design through five stages: analysis,planning, development, implementation, and evaluation. The subject of productfeasibility trials is 10 students of Class V elementary school MuhammadiyahAmbarbinangun. These research instruments use are validation and pollassessment sheets, technical data analysis using both authoritative andquantitative data analysis.The interactive multimedia development measuresLectora based on text material narrative history. According to the developmentmodel used with the passing of five stages. The results showed that the interactivemultimedia feasibility of Lectora based on the narrative text material of historybased on the assessment of media experts acquired an average rating of 81.67(excellent), assessment of material acquired an average ratingof95.8 (excellent),Assessment Learning experts obtain an average value of 93.7 (excellent). Limitedproduct trials with 10 learners class V SD Muhammadiyah ambarbinangunAssessment is 95 (excellent), while the valuation of the teacher's average value is95.83 (excellent). So the overall category deserves for an interactive multimediabased Lectora on the text material narrative history.
Recites fidelity detection system of al-Kautsar verse based on words using mel frequency cepstrum coefficients and cosine similarity

In this study, a system has been developed to help detect the accuracy of the reading of the Koran in the Surah Al-Kautsar based on the accuracy of the number and pronunciation of words in one complete surah. This system is very dependent on the accuracy of word segmentation based on envelope signals. The feature extraction method used was Mel Frequency Cepstrum Coefficients (MFCC), while the Cosine Similarity method was used to detect the accuracy of the reading. From 60 data, 30 data were used for training, while the rest were for testing. From each of the 30 training and test data, 15 data were correct readings, and 15 other data were incorrect readings. System accuracy was measured by word-for-word recognition, which results in 100 % of recall and 98.96 % of precision for the training word data, and 100 % of recall and 99.65 % of precision for the test word data. For the overall reading of the surah, there were 15 correct readings and 14 incorrect readings that were recognized correctly.
THE USE OF VISUAL ELEMENTS IN AUTOMOTIVE TRADES TEXTBOOKS

Appears in: ICERI2019 Proceedings Publication year: 2019Page: 522ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0169Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
A Study on the Subject of the National Creation Festival in May

본 논문은 전국 오월창작가요제의 주제가 음악과 가사에 어떻게 표현되는 지에 관하여 고찰하였다. 5.18 민주화운동 30주년을 맞이하여 ‘민주, 인권, 평화’의 가치를 노래로 알리고 기억하고자 2010년에 시작한 전국 오월창작가 요제는 올해로 9회를 맞는다. 매년 400여 곡의 창작곡이 지원하여 누적 3400 여 곡에 이르며 서울을 비롯한 전국에서 가요제에 참가하고 있다. 연구대상으로 삼은 본선 진출 80곡의 음악적 특징으로는 록과 포크 장르가 가장 높은 비율을 보였다. 이는 그 장르가 가진 ‘자유와 저항, 시대를 노래하는 정신’의 특성과 관계가 있다고 볼 수 있다. 오월창작가요제가 제안하는 주제 표현양상을 각 주제별로 살펴보면 ‘시대정신’과 ‘자유와 저항정신’이 높은 비율을 차지 했다. 이 또한 오월창작가요제가 중요하게 여기는 바와 같았으며, 가사를 통해 직접적으로 표현하는 곡이 간접적으로 표현하는 곡보다 높은 비율을 보였 다. 가요제에서 제안하는 주제는 ‘시대정신’, ‘자유와 저항정신’, ‘오월 정신’, ‘공동체 정신’, ‘삶과 사랑의 노래’ 등으로 크게 5가지이나, 주제 자체나 가사 에서 중복되는 경우가 있으므로 주제에 대한 정리가 필요하다고 여겨진다. 마지막으로 시대의 가치를 노래로 표현하는 음악인들에게 주어지는 기회와 지원에 의의를 두는 만큼, 오월창작가요제의 주제가 지원자들의 지원동기와 실제적인 음악 활동에 어떠한 영향이 있는지에 관한 후속연구를 제안하는 바이다.This paper examines how the theme of the national songwriting festival in May is expressed in music and lyrics. 5.18 To celebrate the 30th anniversary of the democratization movement, the National Creation Festival in May, which started in 2010 to celebrate the value of ‘democracy, human rights and peace’ as a song, celebrates its 9th anniversary this year. Each year, 400 pieces of original songs are supported and accumulated over 3,400 songs. They are participating in the song festival all over the country including Seoul. The rock and folk genres were the highest in 80 musical characteristics of the main line. This is related to the characteristics of the genre ‘freedom and resistance, the spirit of singing the age’. Looking at the thematic expression patterns suggested by the creative song festival in May, “the spirit of the times” and “the spirit of freedom and resistance” occupied a high proportion. This also seemed to be important in the creation of songwriting in May, and showed a higher proportion of songs directly expressing through lyrics than indirectly expressed by songs. There are five major themes proposed in the song class, namely the spirit of the times, the spirit of freedom and resistance, the spirit of May, the spirit of community, and the song of life and love. It is considered necessary to organize the topic.Finally, I suggest a follow-up study on how motivational motivations of volunteers and actual musical activities are influenced by the themes of the May creative song festival as well as their significance to the opportunities and support given to musicians who express the values of the times.