Reviewerly/exHarmony huggingface dataset:
Construction of Music Pronunciation Quality Theory Evaluation Model Based on Artificial Intelligence

The research on the construction of evaluation model of music pronunciation quality theory has always been a hot topic. Music pronunciation quality has a direct impact on the reliability of assessment results. Traditional methods of music pronunciation quality analysis mainly analyze the pronunciation problem of music through the statistical index, but the statistical index cannot In order to improve the quality of detecting music, this paper presents a theory model of evaluating the quality of music pronunciation based on the fusion of artificial intelligence technology. Under the premise of meeting the interval constraints, according to the pronunciation theory of music The sample generated artificial intelligence tree, and evaluated the quality of music pronunciation according to artificial intelligence tree. Finally, the validity, the efficiency and the scalability of the model were verified through experiments.
The Effect of Using SWELL Method on The Students’ Achievement in Writing Procedure Text at Eight Grade of MTs Babul Ulum Medan Labuhan in The Academic Year 2018/2019

The aim of this research is to know the effectiveness of SWELL method in teaching writing procedure text which was observed and analyzed from students of eighth grade at MTs Babul Ulum Medan Labuhan. The method applied in this research was the experimental research design. The population of this study was the students at eighth grade of MTs Babul Ulum Medan Labuhan. The sample this study is grade (VIII-1) as the experimental class and (VIII-2) as the control class. Then , the researcher taught in the experimental class was taught by using SWELL method and control class taught by using lecturing method . After treatment, the researcher gave the post-test to both of classes. The result of post-test shows that . After the calculated by using SPSS V 22, t value (8.508) which is higher than t table in the degree significance 5% (1.669). Furthermore, the test of hypotheses showed that sig 2 tailed (p) was 0.000\0 while alpha (α) was 0.05 (0.000< 0.05) meaning that H0 (Null Hypothesis) was resjected and Hα(Alternative Hypothesis) was accepted. It means that there was the effect of SWELL method on students’ achievement in writing procedure text.
Semantic frame based automatic extraction of typological information from descriptive grammars

This thesis project addresses the machine learning (ML) modelling aspects of the problem of automatically extracting typological linguistic information of natural languages spoken in South Asia fro ...
LibGuides: Accessing Spokane Public Library Resources: Home

SFCC's new partnership with Spokane Public Library allows SFCC students, staff, and faculty access to a free SPL card!
Determinant Factors Affect the Implementation of Laboratory Work in Science Subjects at Secondary Schools in Bale Zone, Ethiopia

Laboratory work as a teaching and learning science is prominence in the Ethiopian curriculum for secondary school.It is emphasized that students should be given opportunities to develop the ability to search for answers to questions, plan, and conduct, interpret and present results.Moreover, students should also be encouraged to use their science knowledge to communicate, argument and present conclusions.But incorporating laboratory work curriculum and implementing in real context are different things.Because of different factors it is not implemented in most cases in Ethiopian.Hence, the objective of this research was to determine factors that affect the implementation of laboratory work in science subjects at Secondary Schools in Bale Zone.There are about 57 secondary schools found in Bale zone and from these 6 schools from pastoralist and 5 schools from pastoralist a total sample size of 11 schools using stratified sampling method.Primary data was gathered from teachers, school principals and students.Secondary data were collected from natural science books (physics, chemistry and biology), documents such as annual plans, laboratory reports, annual reports and exam papers.The find of research has showed that the major hindering factors for laboratory works to be functional are shortage lab technician and resources (lab materials, chemicals, well organized and separated Laboratory room) and large class size.The educational offices should seriously plan and enforce the provision of the required facilities for the schools and professional support for the teachers.The school environment should be facilitated to handle the implementation of the Laboratory works.
EXAMINING THE LEVEL OF READING LITERACY IN PRIMARY SCHOOL CHILDREN IN THE CZECH REPUBLIC

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 3466-3471ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0884Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
HEX: Hyperbolic Event eXtractor, a seismic phase association algorithm for regions of intense seismicity

The task of associating earthquake arrivals to their underlying source significantly increases in complexity with the number of phases to correlate. Continued advancements in sensor resolution, along with the recent adoption of deep learning techniques to seismic phase picking, have greatly increased the volume of phases now detected across seismic networks. As traditional phase association methods struggle to associate during periods of intense seismicity, phase association algorithms, therefore, need to evolve in tandem to accurately correlate the latest pick catalogs. We adopt the random sample consensus technique widely used throughout the computer vision community, proven to perform parameter estimation in the presence of significant outliers, and apply this to the phase association problem. Our algorithm, Hyperbolic Event eXtractor (HEX), is stress-tested on a synthetic dataset with a receiver distribution located throughout the northern Chilean subduction zone and preliminary results indicate the accurate association of events up to ~15s apart. The synthetic results indicate that HEX allows seismologists to perform accurate event correlations on a finer scale than historic, grid-based association algorithms. It is anticipated that HEX will improve the resolution of seismic catalogs and enable the extraction of greater amounts of information from large pick datasets.
Exposing Your Digital Assistant over Channels

At the time when you decide to introduce a Digital Assistant in your business, presumably you are aware of your target audience. Being aware of your target audience will assist you in identifying the best possible way to make your Digital Assistant available to them. When you start designing your Digital Assistant or Skill, it is only accessible by you and people who have access to that specific cloud instance. To make your Digital Assistant or Skill available for your business users, you need a channel to expose it to them. Channel, as the name suggests, acts as a medium using which you expose your Skill or Digital Assistant for your end users.
The English language multilingual processing for sentiment analysis in social media by using Python NLTK Text Classification, Miopia and MeaningCloud sentiment analysis techniques

Nowadays, numerous numbers of companies have utilized the web to offer their services and products. Web customers dependably look through the comments of other customers towards a product or service before they chose to buy the things or viewed the films. The company needs to analyse their customers’ sentiment and feeling based on their comments. The outcome of the sentiment analysis makes the companies easily to discover the expression of their users is more to positive or negative. The sentiment analysis is utilized in data mining. The accuracy of the output is the issue of the sentiment analysis. The objective of this research is to explore and evaluate English language using 3 different sentiment analysis techniques which are the Python NLTK Text Classification, Miopia and MeaningCloud tools in term of their text classification (positive or negative). 3 sentiment analysis techniques have been used in this research to analyse the sentiment analysis of the reviews and comments from English language in social media. There are 8 phases in the research flow which are problem statement. objective, literature reviews, framework understanding, sentiment data understand, propose the framework, measurement the sentiment data and evaluation of the results phases. The accuracy of the output for the sentiment analysis techniques (Python NLTK Text Classification, Miopia and MeaningCloud) in English language will be compared. The exactness of the Python NLTK Text Classification (Corpus-based approach), Miopia (Lexicon-based approach) and MeaningCloud (Hybrid approach) are 74.5%, 73% and 82.13%. The accuracy of MeaningCloud is the highest among the 3 sentiment analysis techniques. This is because this technique hybrids the characteristics of corpus based and lexicon- based approach and achieve the maximum classification accuracy. Therefore, hybrid machine interpretation method is considered the best among these three models.
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep RL

Saliency maps are frequently used to support explanations of the behavior of deep reinforcement learning (RL) agents. However, a review of how saliency maps are used in practice indicates that the derived explanations are often unfalsifiable and can be highly subjective. We introduce an empirical approach grounded in counterfactual reasoning to test the hypotheses generated from saliency maps and assess the degree to which they correspond to the semantics of RL environments. We use Atari games, a common benchmark for deep RL, to evaluate three types of saliency maps. Our results show the extent to which existing claims about Atari games can be evaluated and suggest that saliency maps are best viewed as an exploratory tool rather than an explanatory tool.
RANCANG BANGUN E-LEARNING BERBASIS WIX PADA MATA KULIAH SENI MUSIK PRODI PGSD UNIVERSITAS SARJANAWIYATA TAMANSISWA

E-learning is one of the trends in internet-based learning today. E-learning becomes a learning system for students to be able to access all learning devices ranging from media, materials, teaching materials, and others using the internet network. Wix is one of the internet-based e-learning applications that can be used free and dynamically. The purpose of this study is as an alternative to the delivery of lecture material in Music Art Courses held at the Sarjanawiyata Tamansiswa University Primary School Teacher Education Program. The development of e-learning uses the Research & Development (R&D) method. The research subjects of students in the sixth semester of the 2016 Music Arts Course by selecting samples using random sampling techniques. Methods of data collection used questionnaires, observations, interviews, and documentation. The questionnaire instrument was used to measure the feasibility of e-learning, while interviews, observations, and documentation to support and collect data during the e-learning trial process. Data on the results of testing the use of e-learning using rating scale obtained the number 1078 which means that e-pseudo is suitable for use in a wider circle. E-pseudo has excellent features such as class discussion, upload, download, and subscribe.
Exploring Relative Efficiency and its Change of Specialized Vocational High Schools in Gwangju: Data Envelop Analysis Approach

이 연구는 자료포락기법(Data Envelopment Analysis)을 활용하여 광주광역시 특성화고등학교의 상대적 효율성 및 영향 요인을 분석하는 데 목적이 있다. 분석 자료는 학교알리미와 지방교육재정알리미에서 제공하는 2014~16년 학교수준 자료를 활용하였다. DEA 분석을 위한 투입요소로는 수업교원 1인당 학생 수, 학급당 학생 수, 학생 1인당 교육비를 사용하였으며, 산출요소로는 취업률, 학업중단율을 활용하였다. 주요 연구결과는 다음과 같다. 첫째, 광주광역시 특성화고등학교 간 상대적 효율성의 차이가 큰 것으로 분석되었다. 둘째, 특성화고등학교의 비효율성은 규모의 효율성보다는 주로 순수기술효율성에서 기인하는 것으로 나타났다. 셋째, 100% 효율성 나타낸 학교는 5개 학교였으며, 학급당 학생 수는 44.4%, 수업교원 1인당 학생 수는 42.3~100%, 학생 1인당 교육비는 13.2~100%까지 효율성 달성에 기여한 것으로 분석 되었다. 넷째, 설립유형, 남녀공학, 계열 등 학교배경 특성에 따른 학교 간 상대적 효율치의 차이는 없는 것으로 나타났다. 이러한 연구결과를 토대로 교육과정 및 학과개편 등 특성화고등학교의 자체적인 효율성 제고 노력이 필요하며 이에 대한 교육청의 전문적 컨설팅 및 행·재정적 지원이 필요함을 제안하였다.The purpose of the study was to examine the relative efficiency and its change of specialized vocational high schools in the Gwangju metropolitan city. For this, the study employed DEA (Data Envelopment Analysis) model for the data of 2014~16 provided by the local educational finance system and school information system, which is operated electronically by the government. For the DEA approach, the study calculated technical efficiency, pure technical efficiency and scale efficiency, exploring characteristics of highly efficient schools. Input variables for DEA included the number of students per teacher, the number of students per class, school expenditure per student, while the employment rate and dropout rate were used for output variables. Major findings of the study were as follows; First, significant differences in relative efficiency among schools exist, while 5 of 10 schools achieved 100% efficiency. Second, school inefficiency was mainly caused by pure technical efficiency rather scale efficiency. Third, there was no difference in significant efficiency by school ownership, academics, and mixed schools. Based on these findings, the study suggested that tailored supports should be provided for higher efficiency of specialized vocational high schools in Gwangju.
Transformation of the roles of ukrainian universities teachers in student-centred learning and teaching

The article deals with the problem of the readiness of Ukrainian academic staff to transform the role of teacher instudent centred learning and teaching. Our research was aimed at studying the readiness of Ukrainian teachers to transformthe role of teacher in student-centered learning and teaching. Despite the fact that student-centred approach is confirmedboth in normative educational documents and in the theory and practice of European higher education, the teachers ofUkrainian universities are not well-informed about the transformation of the teacher’s role in student-centred learning.And, consequently, the change of the authoritarian role of the teacher to the delicate support of the individual educationalsearch of each student goes hand in hand with some difficulties. The empirical material of the research was collected by themethod of questioning of academic staff from Ukrainian universities and students of the Central Institute of PostgraduatePedagogical Education of the National Academy of Sciences of Ukraine. The results of the study confirmed our hypothesis:Ukrainian university lecturers in the majority of cases are not ready to use flexibly different strategies for interaction withstudents in order to activate, stimulate and encourage the active educational activities of each student in student-centredlearning and teaching.
LITERATION CULTURE OF STUDENT LITERATURE IN INDUSTRIAL REVOLUTION 4.0

literacy culture plays an important role in the development of a learning society that lives in the global era or is called the current century of creative-innovative knowledge. The history of human civilization proves that a great nation whose people have a high literacy culture. Literacy culture is hampered by the not yet forming mentality of students' reading and writing culture. Literacy culture must be instilled early in students to ingrained for the sake of achieving a superior generation, quality, and have a strong mind and character to face global challenges. Global developments in various scientific disciplines that are felt now certainly must be recognized by all parties, especially in the school environment. The school environment must make literacy culture the first and foremost door to build the progress of human civilization, society, and the Indonesian people. The mastery of literacy culture for these civilizations is important and should receive serious attention to make their lives more developed/modern, meaningful, and advanced both personally, socially, spiritually, and culturally. One of the ways to achieve and make students mentality is literacy culture is through literature. Literature becomes a creative work that has a distinctive or unique style in the use of its language. Literary creative works record a variety of phenomena in the social life of both real and fictitious ones that instill educational values. Through these various advantages, literary works must be used as an effective stimulus to foster a culture of student literacy. Therefore, literature must be used as the basis for the first and foremost doorstep for the achievement of a superior generation of cultural literacy mentality.
SAFE EXAM BROWSER UNTUK KLIEN ANDROID PADA UJIAN BERBASIS WEB

&lt;p class="StyleAuthorBold"&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;&lt;/p&gt;&lt;p class="abstrak"&gt;Penelitian bertujuan untuk menghasilkan sebuah &lt;em&gt;browser&lt;/em&gt; (&lt;em&gt;flyexambro&lt;/em&gt;) yang valid berbasis Android dengan membatasi akses terhadap fitur-fitur di perangkat &lt;em&gt;handphone&lt;/em&gt;. Metode penelitian menggunakan pengembangan aplikasi model &lt;em&gt;Extreme Programming &lt;/em&gt;(XP) yang terdiri dari tahapan: analisis kebutuhan; desain antarmuka; pengembangan dan implementasi; pengujian dan modifikasi; serta &lt;em&gt;launching&lt;/em&gt;. Subjek penelitian sebanyak 90 siswa, terdiri dari 45 siswa ujian berbasis komputer dan 45 siswa ujian berbasis&lt;em&gt; han&lt;/em&gt;&lt;em&gt;d&lt;/em&gt;&lt;em&gt;phone&lt;/em&gt;. Alat pengumpulan data menggunakan tes pilihan ganda. Teknik analisis data menggunakan uji-t. Pengujian dilakukan untuk 2 pelajaran, yaitu Bahasa Indonesia dan Matematika. Nilai yang diperoleh dari kedua pengujian tersebut dianalisis untuk melihat perbedaannya. Berdasarkan hasil analisis data, tidak ditemukan perbedaan yang signifikan antara ujian berbasis komputer dan ujian berbasis &lt;em&gt;handphone&lt;/em&gt;. Penggunaan &lt;em&gt;browser&lt;/em&gt; saat ujian menggunakan &lt;em&gt;hand&lt;/em&gt;&lt;em&gt;p&lt;/em&gt;&lt;em&gt;hone&lt;/em&gt; dapat dan layak menggantikan &lt;em&gt;client&lt;/em&gt; berbasis komputer dari segi keamanan, kenyamanan, dan kemudahan pemakaian.&lt;/p&gt;&lt;p class="abstrak"&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;p class="abstrak"&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;em&gt;The research aims to produce a valid browser (flyexambro) based on Android by restricting access to features in mobile devices. The research method used the application development Extreme Programming (XP) model which consists of stages: needs analysis; interface designing; development and implementation; testing and modification; and launching. The research subjects were 90 students, consisting of 45 computer-based exam students and 45 mobile-based exam students. Data collection tools use multiple-choice tests. Data analysis techniques using t-test. The test was conducted for 2 lessons, namely Indonesian Language and Mathematics. The values obtained from the two tests are analyzed to see the difference. Based on the results of data analysis, no significant differences were found between computer-based and mobile-based exams. The use of this browser for exams using mobile phones can and is feasible to replace computer-based clients in terms of security, comfort, and ease of use.&lt;/em&gt;
HATE SPEECH ACTS: A CASE IN BATU BARA

Hate speech acts that occur in the online realm expressed with words of prejudice and negative feelings are far more dangerous than in the offline realm. Hate speech is a new area in the study of illocutionary speech acts. This new area of speech acts becomes more interesting because every hate speech has various meanings or illocutionary forces based on speaker’s intention. This study aims to analyse the classifications and aims of illocutionary acts and illocutionary forces of hate speech contained in two face book group accounts related to Batu Bara district’s local election. The research method is descriptive qualitative. The data of this research are thirteen utterances/speeches of face book users in Batu Bara district’s local election group account. Data were collected using the documentation method with the help of referring technique. This method is used to observe the expression of the face book users’ hatred on issues related to social, cultural and political background on each candidate. Thirteen utterances analyzed are classified into assertive, directive and expressive and have illocutionary forces namely insulting, inciting and discriminating. This study indicates that hate speech can be identified linguistically.
An Insider Threat Factors and Features Categorization for Manufacturing Execution System

An insider threats turn cyber world into insecure data breaches and system compromised as the insider having legitimate access to information of critical assets. Furthermore, the threat reflected unnoticeable and none able to foresee what, when and how literally the trusted insiders who has authority launched the threats against an organization. Due to this, there is lack of theoretical view discussion by the research community that can be used as a reference to categorize factors, specifically features that can contribute to the insider threats in manufacturing execution systems (MES). Therefore, a theoretical view to categorize factors and features which represent the behavior of insider threats in MES is proposed based on conducted literature survey. These threats could be grouped into three major factors i.e. human, systems and machine as stressed, and consequently a possible feature that can be a contributor for every single factor identified based on previous researcher recommendations. For the purpose of facilitate the understanding, the real scenario from the automation execution system from manufacturing sector is chosen as case study. Each factor and every single related feature identified, grouped and fact been highlighted. Hence, a theoretical framework for MES could be derived and facilitate as a standard guideline to mitigate insider threats in manufacturing field.
Determining N-Days Tourist Route Using Swap Operator Based Artificial Bee Colony Algorithm

Traveling is one of the activities chosen by many people to spend holidays. Some tourists want to go on vacation in a place they have never visited before, so they need a tool to plan a tour. Planning this tour includes determining tourist route. We analogize the determination of tourist routes using Traveling Salesman Problem (TSP). The main objective of this study was to find the optimal tourist route using Swap Operator Based Artificial Bee Colony Algorithm. We use Multi-Attribute Utility Theory (MAUT) to accommodate user needs for the route that recommended by the system. The criteria for user preferences used in this study are: 1) routes with as many tourist attractions as possible, 2) routes that pass popular destinations, and 3) routes with minimal costs. Based on the experiment results, Swap Operator Based Artificial Bee Colony gives more optimal results than the Simulated Annealing, especially in terms of the number of tourist attractions (nodes) that can be visited in one trip. Keywords: Multi-Attribute Utility Theory, Swap Operator Based Artificial Bee Colony Algorithm, Traveling Salesman Problem
LibGuides: Children Literature Genres: Biography

This guide will help readers, educators, and parents identify common children literature genres so that the reading experience can be diversified by genre or to help readers figure out what genre they enjoy reading.
Preprocessing unbounded data for use in real time visualization : Building a visualization data cube of unbounded data

This thesis evaluates the viability of a data cube as a basis for visualization of unbounded data. A cube designed for use with visualization of static data was adapted to allow for point-by-point ...
LibGuides: Academic and Research Staff: Recently added eBooks

Library support for Staff of Stranmillis University College This page highlights some of the new ebooks the Library has purchased