Reviewerly/exHarmony huggingface dataset:
Implementasi Speech Recognition Menggunakan API IBM Watson

Lack of skill English is a major problem for someone who wants to learn to speak English in the pronunciation section. A person often feels insecure to speak English with other people even though in his own understanding it can be said to understand English. English learning applications, it can help to learn and practice good and correct pronunciation or pronunciation in English without having to involve other people. Using the Extreme Programming development method, it is found that the use of technology can be a solution for learning to speak English without having to be seen and valued by others. With the help of Speech Recognition, the process of recognizing a person's voice from a spoken phrase is the result that can be obtained. This English learning application is used to learn English spelling, so you can know how to pronounce English words and sentences properly and correctly.
Representation Learning of Tongue Dynamics for a Silent Speech Interface

A Silent Speech Interface (SSI) is a sensor-based, Artificial Intelligence (AI) enabled system in which articulation is performed without the use of the vocal chords, resulting in a voice interface that conserves the ambient audio environment, protects private data, and also functions in noisy environments. Though portable SSIs based on ultrasound imaging of the tongue have obtained Word Error Rates rivaling that of acoustic speech recognition, SSIs remain relegated to the laboratory due to stability issues. Indeed, reliable extraction of acoustic features from ultrasound tongue images in real-life situations has proven elusive. Recently, Representation Learning has shown considerable success in learning underlying structure in noisy, high-dimensional raw data. In its unsupervised form, Representation Learning is able to reveal structure in unlabeled data, thus greatly simplifying the data preparation task. In the present article, a 3D Convolutional Neural Network architecture is applied to unlabeled ultrasound images, and is shown to reliably predict future tongue configurations. By comparing the 3DCNN to a simple previous-frame predictor, it is possible to recognize tongue trajectories comprising transitions between regions of stability that correlate with formant trajectories in a spectrogram of the signal. Prospects for using the underlying structural representation to provide features for subsequent speech processing tasks are presented.
Workshop Pembuatan Video Pembelajaran Kreatif Bagi Guru Matematika SMP Se-Kota Mataram

This community service activity aims to improve teachers’ abilities to create video lessons that could be used either on online learning or in person. The activity's strategy was a workshop that mainly focused on working and creating video lessons after giving a brief explanation on how to produce the video. The workshop also involves pre and post-test to assess the improvement of participants’ competence. This activity resulted in video lessons uploaded on the Youtube channel, and participants’ assessment scores improved from 65,8 to 76,9. Therefore, teachers involved in this social service admitted that they benefit from joining the workshop as they are now able to create exciting video lessons that might raise students’ enthusiasm and motivation in the learning process.
Credibilistic fuzzy clustering based on evolutionary method of crazy cats

The problem of fuzzy clustering of large datasets that are sent for processing in both batch and online modes, based on a credibilistic approach, is considered. To find the global extremum of the credibilistic fuzzy clustering goal function, the modification of the swarm algorithm of crazy cats swarms was introduced, that combined the advantages of evolutionary algorithms and a global random search. It is shown that different search modes are generated by a unified mathematical procedure, some cases of which are known algorithms for both local and global optimizations. The proposed approach is easy to implement and is characterized by the high speed and reliability in problems of multi-extreme fuzzy clustering.
Probabilistic Neural Network based Managing Algorithm for Building Automation System

A building automation system is a centralized intelligent system, which controls the operation of energy, security, water, and safety by the help of hardware and software modules. The general software modules employed for automation process have an algorithm with pre-determined decisions. However, such pre-determined decision algorithms won’t work in a proper manner at all situations like a human brain. Therefore a human biological inspired algorithms are developed in recent days and termed as neural network algorithms. The Probabilistic Neural Network (PNN) is a kind of artificial neural network algorithm which has the ability to take decisions same as like of human brains in an efficient way. Hence a building automation system is proposed in the work based on PNN for verifying the effectiveness of neural network algorithms over the traditional pre-determined decision making algorithms. The experimental work is further extended to verify the performances of the basic neural network algorithm called Convolution Neural Network (CNN).
Introduction to the 37th International Conference on Logic Programming Special Issue II

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Research on the Design of Postgraduate Management Model at Universities with Geosciences and Environmental Education

The traditional postgraduate education management system has some limitations in its functions and mode of development. It is important to ensure that colleges and universities can remain closed without halting instruction during the pandemic prevention and control period. It is essential to solve the problem of delivering instruction and managing teachers and students at universities that offer geosciences and environmental educations of using multiple device types, both on and off campus. In this article, a new concept of postgraduate education management that can be used to cope with the new conditions is proposed, based on the characteristics of similar institutions as well as the complex functional requirements of postgraduate education management. A design for a postgraduate education management system based on the advantages of microservices architecture is discussed as well. The system helps promote the development of high-quality postgraduate educational offerings at universities with geosciences and environmental educations, optimises the soundness of postgraduate education management modes, and effectively ensures the orderly promotion of online teaching and remote management of postgraduates during the prevention and control period of pandemics, thereby promoting the refinement, understanding, and informationization of postgraduate education management systems.
Actors In The Process Of Managing The Sphere Of Culture: Socio-Professional Classification

Social management involves the interaction of many different groups and communities.The classification of groups proposed in this article is based on the social and professional division of labor of participants in the process of managing the sphere of culture.The results of a trend sociological study of the problems of the development of the sphere of culture made it possible to identify 4 groups of social actors, which, given the degree of involvement of the participants in the process of managing the sphere of culture in the production of cultural products, can be defined as mediated actors -government officials and consumers, and active actors -creators and employees from culture.The article demonstrates the transformation of the views of social actors regarding issues related to the quality of work of cultural institutions and their material and technical condition, as well as opinions on the problems of the level of culture of the population and culture in general.The dynamics of the views of the selected subgroups demonstrate a multidirectional movement in the representation of two subgroups, where the degree of involvement in the production of cultural products is singled out as a criterion.And culture is assigned a leading role in the organization of life and the development of society.The conclusion is substantiated that the optimal development of the sphere of culture is possible only if the opinions of all participants in this process are considered, together with the laws of self-development of culture.
Storytelling Technology in the Practice of Teaching Pedagogical Disciplines

The article is devoted to the peculiarities of storytelling as an effective tool for organizing the educational process in higher educational institutions. Functions, principles, types of storytelling are considered. It is noted that storytelling is focused on increasing interest in the academic subject, personalizing learning, taking into account all types of individual style of learning activity. The use of storytelling contributes to a better assimilation of the material and an increase in the academic performance of applicants for education. As a result of the use of this technology, the level of "multimodal" literacy is increased, which is associated with such activities as reading, visual perception, understanding, response, generation of digital and multimedia texts. The possibilities of using storytelling during teaching in higher education institutions of the disciplines of the pedagogical cycle are considered.
Pemanfaatan Barcode Scanner Pendaftaran Pasien Pada Puskesmas Rawat Inap Way Kandis

Way Kandis Inpatient Health Center as a provider of health care facilities are required to provide fast and accurate health services. The problem currently faced is patient service which includes patient registration, patient data processing, and report data processing which is still done manually so that it is ineffective and slows down or complicates registration officers in serving patients. The system development method used by the author for this research is the Extreme Programming method, while the process of making this system uses the PHP programming language, while the database uses MySQL. The design tool uses a UML diagram that consists of use case diagrams, class diagrams, and activity diagrams. From this research, a barcode scanner based on patient registration information system is produced which is able to process registration data, print queue evidence, process patient data, print barcode patients, and process reports better than the old system. The system built can simplify and help to improve the performance of registration officers in serving patients at Way Kandis Inpatient Health Center quickly, and accurately.
Smart Chicken Coop Control and Monitoring System Design Automatically with Smartphone Notifications

Technological developments and industrial automation encourage humans to meet their needs quickly. So that robotics technology was developed to help ease human work in the future. The chicken breeder is a business that has great profit prospects because the consumption of chicken meat in the community increases every year. It takes good management of chicken farmers so that farmers can get good harvests. In this study, the author designed a monitoring system to monitor conditions in the chicken coop such as temperature, light, feeding, and drinking. The smart chicken coop system that the author designed uses Smartphone notifications so that the condition of the chicken coop can be viewed and controlled using a smartphone via the internet/wifi network.
Digital Library Information System at Brebes Boarding School Vocational High School

In the world of education, Information technology is very necessary for students and teachers to gain a broad knowledge. Students will seek additional information other than those taught by the teacher, all of which can be obtained from the library. Library is one of the facilities owned by SMK Boarding School Brebes. The library is handled by a librarian and two administrative persons. Administrative tasks vary considerably. So far, administrators process member data input, book data input, return borrowing input and make annual monthly report using computerized. But whether only with computerization that is in the library. Then what if the students want to know information about what book collections are available without having to come keperpustakaan, For that need to be designed digital library applications that can be accessed by students and teachers through the internet. In digital library information system pembutan design method used is Data Flow Diagram (DFD), with Dreamweaver CS4 application, SQL Server 2008 for database design. By using this digital library information system can facilitate information about what book collection is available without having to come keperpustakaan.
Studying the Effect of Coronal Mass Ejections and Solar Flares on Thunderstorms in the City of Mosul for Solar Cycles 23 and 24

The study of the impact of solar activity on the Earth's climate is an important matter for predicting the change of climate elements for long periods.Most research has been limited to studying the relationship of sunspots with a change in one of the climate elements.In this research, the effect of the solar activities of coronal mass ejections and solar flare on a climatic element in the troposphere, represented by thunderstorms during the winter season in the city of Mosul for the 23 and 24 solar cycles, respectively, was studied.The data on coronal mass ejections were collected from the SOHO/LASCO CME Catalog database and solar flare data were taken from the website National Oceanic and Atmosperic (NOAA).Climatic data on thunderstorms for the winter seasons from the period were used from the monitoring station in the city of Mosul from the Iraqi General Authority for Meteorology and Seismic Monitoring.The parameters were analyzed using the statistical program (Minitab 19.0).The results showed that there is an inverse relationship between the monthly rates of solar activities with the monthly rate of thunderstorm frequency, with the exception of the rising phase of the solar cycle 24 for the time period (2008)(2009)(2010)(2011)(2012)(2013), where the results showed the existence of a positive relationship between them.
An Analysis on Students’ Difficulties in Speaking

The purpose of this research was to analyze the students’ difficulties in speaking English especially in introducing them self at MTS NW Al Hidayah Baremayung. Besides, the researcher also wanted know what the students’ difficulties in speaking English and what the factors of students difficulties in speaking English especially in introducing them self. The method of collecting data are observation, recording, and interview. The data were taken from the subject of the research in the form of teaching learning process, interview and recording. The research finding show that the students difficulties in speaking English especially in introducing them self are: (a) the student’s low vocabulary mastery. (b) the students had difficulties in pronouncing certain words because, English words are different between pronunciation and writing. (c) the students were still confused in arranging words. Then, there were still some mistakes in their grammar. (d) the students were often afraid of speaking English because they were worried of making mistakes. They were not confident and nervous when they introducing themselves.
Research on Prediction of Different Categories of Video based on YOUTUBE Using Text Mining and Sentiment Analysis

With the development of online commentary research, scholars have tried to tap into the deeper value of online commentary from the analysis of sentiment analysis, quality evaluation, false comment recognition to the usefulness of comments. Previous studies have focused on online product reviews while news reviews. Social media research has been relatively rare. social media and news commentary contain readers' opinions and evaluations on current events, and reflect the trend of public opinion. The purpose of this paper is to investigate and analyze the intrinsic link between social media content of different type and the number of commentaries, and sentiment analysis.
Conversational mental verbs in English song lyrics: a corpus-driven analysis / Flora Goyak … [et al.]

This corpus-driven study explores the linguistics phenomenon of mental verbs in English song lyrics from 1960s until 2000s. This study aims to identify the frequency distributions of lexical verbs, mental verbs, and to analyze the language uses of mental verbs in the Diachronic Corpus of English Song Lyrics (DCOESL). Quantitative and qualitative methods of analysis were applied. First, quantitative data covering frequency distributions of general verbs was produced via LancsBox. Top three mental verbs in song lyrics were selected for analysis and discussion. The frequency distributions of mental verbs and collocations were produced via LancsBox. Collocation patterns were illustrated through collocation graphs constructed via LancsBox. Frequency distributions of mental verbs were compared to reference corpus Contemporary Corpus of American English (COCA) for the purpose of generalizing the findings from this study as representative of English language. The statistical data were submitted for four statistical tests of significance namely Chi-square, Mutual Information, Log-likelihood, and t-score. Second, qualitative data was composed of corpus annotations. Corpus annotations were conducted via CLAWS for assigning part-of-speech C7 tagset to identify verbs. Semantic categories of mental verbs were identified via UCREL Semantic Analysis System (USAS). Findings uncovered significantly high frequencies of mental verbs know, want, and love in English song lyrics through 1960s until 1990s. These three mental verbs possess high inclination to occur alongside personal pronouns I and you, depict social actions, high predilection for simple present tense, and simple sentence structure. These attributes illuminate that song lyrics emulate spoken English, predominantly the informal conversation register.
Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

Security standards have been raised through modern multimedia communications technology, which allows for enormous progress in security. Modern multimedia communication technologies are concerned with fault tolerance technique and information security. As a primary method, there is widespread use of image encryption to protect image information security. Over the past few years, image encryption has paid more attention to combining DNA technologies in order to increase security. The objective here is to provide a new method for correcting color image encryption errors due to the uncertainty of DNA computing by using the fractional order hyperchaotic Lorenz system. To increase randomness, the proposed cryptosystem is applied to the three plain image channels: Red, Green, and Blue. Several methods were compared including the following: entropy, correlation, key sensitivity, key space, data loss attacks, speed computation, Number of Pixel changing rate (NPCR), and Unified Average Change Intensity randomness (UACI) tests. Consequently, the proposed scheme is very secure against a variety of cryptographic attacks.
PLATFORMISATION AND HUMAN RIGHTS: DOES USE OF THE SLOVENIAN #OSTANIZDRAV APP BYPASS PRIVACY RIGHTS?

Abstract. The article aims to explore the public’s fear of data being misused when using European Covid-19 contact-tracing applications. The point of departure lies in considering the research question of whether the Covid-19 pandemic has influenced the platformisation of traditional institutions, i.e., whether the design of Europe’s proximity-tracing applications mimic the dataintensive web services of commercial platforms, namely commercial APIs and their data policies, in order to bypass the right to privacy. We accordingly argue that is vital to address the public’s fears of governmental and corporate dataveillance as well as data misuse while using such apps. The investigation entails of a critical analysis of the Exposure Notification System framework designed by Apple and Google (or GAEN) and the #OstaniZdrav application. The article rejects the justification of the public’s fear of governmental dataveillance, while recognising the possibility of corporate data misuse. Keywords: Covid-19 contact-tracing application, right to privacy, GDPR, API, protocol, metadata, dataveillance
Tourism Empowerment In Society 5.0 Era: Virtual Reality For Covid-19

Medan is the third-largest city in Indonesia, so Medan has various kinds of relics used as tourist attractions. The COVID-19 pandemic has caused a fall in the number of tourist visits and the lack of promotional facilities for potential tourists who will visit. The important circumstances of the conditions that encourage the development of City Tourism Empowerment in the Era of Society 5.0 based on Virtual Reality as one of the researchers' efforts in developing new tourism concepts during a pandemic by using the research method used are the combination method. The survey was conducted by distributing questionnaires to determine the public's perception of VR technology for tourism, especially designing Virtual Reality 3600, using the 6-stage MDCL design model in building VR applications. It was determining the correct hotspot, switching interfaces, and display flow that made it easy. The application results were then tested as VR-based tourism content in Medan city tourism to get a response time value of &lt;1 second and a UAT value of 94% from 20 users from 18-50 years of age.
Files Storage &amp; Sharing Platform Using Cloud

Abstract: The concept of cloud computing becomes more popular in latest years. Data storage is very important and valuable research field in cloud computing. Cloud based file sharing is a file sharing security in cloud. The required security from unauthorized access of the file in the cloud is provided by the encryption and decryption function. The admin can provide file access option to the authorized users. This facility limits the number and time of access of the shared files by the admin for the authorized user. Cloud data storage technology is the core area in cloud computing and solves the data storage mode of cloud environment. This project introduces the concept of cloud computing and cloud storage as well as the architecture of cloud storage firstly. Then we analyze the cloud data storage technology amazon web services, wasabi, Digital Ocean etc. We will improve the traditional file storage method and we will make a platform which will get more privileges. Keywords: Cloud, Storage, AWS, Wasabi, File Management, Files Storage, Files Sharing, DMS, CMS, Drive store, Private Cloud.