Reviewerly/exHarmony huggingface dataset:
Waste Management and Wealth Generation Through Waste Elimination

Waste management and disposal has become a matter of concern with increasing waste products due to increase in population. There are a lot of dustbins that remain uncleaned for several days due to which there is a spread of foul smell and various diseases. Also, there are many products which can be reused but are not being reused properly, they are being discarded or burned which creates air pollution and wastage of raw materials. These raw materials can be used by the industry people and be given a new shape to it. Wealth can be generated by selling these secondary waste products. There is lack of awareness among the people regarding proper waste management and reuse of waste products. As a solution to all these problems the proposed system focuses on easy collection, cleaning of the dustbins, reusability of waste products as well as spreading of knowledge and awareness among the people.
The pedagogical model for the formation of the mathematical competence of future primary school teachers

At the present stage it is observed that the students from the educational institutions with pedagogical profile, although during the studies they accumulate a considerable stock of knowledge, nevertheless they encounter difficulties at the stage of their implementation in practical activities. They have great difficulty adapting to rapidly changing circumstances, especially in the field of professional activity, and also face difficulties in applying their knowledge to make decisions independently.
Semantics-Based Learning Media System Web Basic Mathematics Junior High School

Mathematics is a very important science because it is related to human life. Therefore, mastery of mathematics is absolutely necessary and mathematical concepts must be understood correctly. In Indonesia, students' ability to understand mathematics is still relatively low. From this, understanding of mathematical concepts needs to be improved again so that students clearly understand mathematical concepts. In order to improve understanding of mathematical concepts, various efforts were made. One of the efforts carried out by the author is a semantic web-based learning media system using concept maps in basic mathematical ontologies. This system will use ontology to build a system that will represent a mathematical concept as a domain of knowledge explicitly about other concepts related to previous concepts by giving meaning, properties, and relations so as to form a knowledge base. In this research, the writer uses methodological method to build the basic mathematical ontology and the system development will be done by prototyping method. The system built has 2 features, namely exploration and semantic search, with the aim that the existing knowledge in the system can be accessed systematically and according to user needs. To ensure that the system built can run as expected, system testing with black box testing has shown which features in the program run according to their functions and ontology evaluation using OntoQA on Schema Metrics carried out by measuring Relationship Richness (RR), Attribute Richness (AR), and Inheritance Richness (IR). In the evaluation of this ontology, it shows that the Relationship Richness (RR) value is 0.06; Attribute Richness (AR) value is 0.5; and the value of Inheritance Richness (IR) is 14.5.
Research Design

This chapter of the book aims to provide insights into multiple research methods employed to meet formulated research objectives. First, generic overview of research methodology adopted in conducting research is specified. After that, focus is made on research methods employed to conduct the research. This involves systematic literature reviews (mappings), case studies, surveys, experience reports and their combination. The guidelines employed for executing various research methods in the project are also presented. Finally, research methodologies adopted in meeting research objectives are highlighted by focusing on individual research studies conducted and disseminated as nine research papers.
Pengembangan Perangkat Lunak Pembelajaran Penulisan Aksara Bali Menggunakan SDLC Untuk Anak-Anak

Balinese script is a traditional script originating from Bali. To maintain sustainability, formal education in schools through Balinese language subjects is one if many ways to maintain it. Apart from studying at school, it would be even better if Balinese script learning could be done outside of school by appealing to the concept of learning. One way to create interesting learning is through application games. Making a Balinese script writing application aims to help students learn Balinese script by implementing the Software Development Life Cycle (SDLC) and Black Box testing of making Balinese script writing applications. Making the application is expected to be one of the media that can assist students in learning Balinese script.
Performance of LDA Versus PCA in Nonideal Lighting Environment

Automatic face recognition (AFR) is used to identify people by processing their photos or snapshots of faces, either in off-line or real-time manners, respectively. However, classical face recognition techniques have been reported to suffer from substantial degradation in performance when person image is subjected to nonideal lighting or some types of occlusion. In real life we may well encounter a certain type of nonideal lighting such as side-shadowing of the face, where substantial part of the face can be totally occluded or masked. In this work, we examine and evaluate the performance of two famous statistical approaches for AFR namely PCA and LDA in terms of face recognition rate (FRR), when both are operating on particular ill-illuminated image exemplified by side-shadowing occlusion with addition of “salt-and-pepper” noise, which is often the encountered case. The two suggested AFR techniques are the well-reputed principal component analysis (PCA) and linear discriminate analysis (LDA). A computer simulation has been executed testing both PCA and LDA and the simulation outcomes indicate much better performance of LDA over PCA in terms of FRR for this particular type of image occlusion.
Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring

Automatic essay scoring (AES) models based on neural networks (NN) have had a lot of success. However, research has shown that NN-based AES models have robustness issues, such that the output of a model changes easily with small changes in the input. We proposed to use keyword-based lexical substitution using BERT that generates new essays (adversarial samples) which are lexically similar to the original essay to evaluate the robustness of AES models trained on the original set. In order to evaluate the proposed approach, we implemented three NN-based scoring approaches and trained the scoring models using two stages. First, we trained each model using the original data and evaluate the performance using the original test and newly generated test set to see the impact of the adversarial sample of the model. Secondly, we trained the models by augmenting the generated adversarial essay with the original data to train a robust model against synonym-based adversarial attacks. The results of our experiments showed that extracting the most important words from the essay and replacing them with lexically similar words, as well as generating adversarial samples for augmentation, can significantly improve the generalization of NN-based AES models. Our experiments also demonstrated that the proposed defense is capable of not only defending against adversarial attacks, but also of improving the performance of NN-based AES models.
Squeezed Light

Thus far, we have described Fock states, coherent light, and incoherent light. Quantum optics has discovered many other states of light. In this chapter, we examine one of the most useful of these, called “squeezed light.” We show that the uncertainty in the phase or amplitude quadrature of squeezed light can be reduced as compared to coherent light, making squeezed light very useful in metrology. The squeezed vacuum state is introduced, and the fragility of the squeezed state is explained.
Explorative Data Analysis of the Number Pi

The number π has motivated mathematicians and math enthusiasts for millennia. John Venn was one of the first to use visualizations with π. In this paper, we use visualizations to reveal patterns in the first 62.8 trillion digits of π. We computed the distribution of natural numbers and identified the longest sequences of the Fibonacci sequence, the longest sequences of the natural numbers and identified the longest series of the same digit. We observed that no regular distribution of the natural numbers appears.
e-Klinik: Prototipe Sistem Layanan Klinik Gigi di Masa Pandemi Covid 19

The implementation of health protocols during the Covid-19 pandemic had an impact on health service activities in dental clinics. Arrangements to keep distance and avoid crowds are important points in the implementation of dental health services for the community. The e-clinic system provides an alternative solution to assist dental health service workers in carrying out the administrative process and for doctors who diagnose patients through the use of web technology. This study made with the aim of analyzing and designing an e-clinic system to help dental clinic services during the Covid-9 pandemic. To get research results that suit its needs, the case study method is used with the application of prototype system development through an object-oriented systems approach. Modeling uses UML (unified modeling language) tools and testing is done using a black box. E-clinic models and system prototypes are the results of research conducted. The e-clinic system that was built is expected to make it easy for the community to get dental health services in clinics by implementing well-maintained health protocols.
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models

Energy-based latent variable models (EBLVMs) are more expressive than conventional energy-based models. However, its potential on visual tasks are limited by its training process based on maximum likelihood estimate that requires sampling from two intractable distributions. In this paper, we propose Bi-level doubly variational learning (BiDVL), which is based on a new bi-level optimization framework and two tractable variational distributions to facilitate learning EBLVMs. Particularly, we lead a decoupled EBLVM consisting of a marginal energy-based distribution and a structural posterior to handle the difficulties when learning deep EBLVMs on images. By choosing a symmetric KL divergence in the lower level of our framework, a compact BiDVL for visual tasks can be obtained. Our model achieves impressive image generation performance over related works. It also demonstrates the significant capacity of testing image reconstruction and out-of-distribution detection.
INFORMATION TECHNOLOGIES IN MODERN EDUCATION

The proposed article is devoted to the actual problem of modern education. The subject of this article is information technology in modern education. The importance of information technologies in the process of mental and information warfare between countries at the present time, which is associated with an attempt to manipulate consciousness, change people's worldview, is shown. The idea of replacing the knowledge-based educational paradigm with a developing one is emphasized. The interrelation of the process of informatization of education and the use of information technologies, philosophical aspects of informatization of modern society and education, socio-cultural aspects of informatization of modern society, the organization of the learning process in the Internet environment is revealed. The competencies to be formed in modern trainees are analyzed and disclosed. The phenomenon of innovative pedagogical technology, including information technology, is analyzed. The directions of information education, improvement of the content context of modern education with the help of information technologies are analyzed. Various aspects of the use of information technologies in the educational process are disclosed. The theoretical and practical significance of the use of information technologies in the practice of higher education is shown.
RISK ASSESSMENT OF THE QUALITY SYSTEM OF ADDITIONAL PROFESSIONAL EDUCATION OF A HIGHER EDUCATIONAL INSTITUTION

The article discusses the basics of risk assessment of educational processes of the quality management system of additional professional education (QMS APE) of a higher educational institution. The approaches to assessing the risks of educational processes in the context of risk-oriented thinking in the management of the QMS of the university are analyzed. The modular-hierarchical structure of educational risks is determined, correlated with the totality of interrelated and interacting processes of the QMS of APE. The expediency of applying tools and technologies of statistical justi cation to the assessment of risks arising from the management of educational processes is substantiated. A procedure for assessing educational risks based on the rank method is proposed, which allows not only to identify threats arising as a result of process management, but also to form a generalized assessment of their impact on the functioning of the QMS as a whole. The adaptation of the proposed approach to risk assessment of QMS APE processes is considered on the example of the «Recruitment» subprocess. The expediency of using the proposed approach to risk assessment in relation to the QMS processes of a higher educational institution is argued.
Efficiency of End-to-End Speech Recognition for Languages with Scarce Resources

Modern deep learning based speech recognition methods allow for achieving phenomenal speech recognition accuracy. But it requires enormous amounts of data to train such systems to achieve high recognition accuracy. Many less widely spoken languages simply do not possess the necessary amounts of speech corpora. The paper presents attempts to evaluate DeepSpeech-based speech recognition efficiency with the limited amounts of training data available and the ways to improve the accuracy. The experiments showed that the accuracy of DeepSpeech2 recognizer with about 100 h of speech corpora used for training is quite modest but the application of simple grammatical constraints allowed to reduce the word error rate to 23–25%.
TÜRKİYE’DE ISO 27001 BİLGİ GÜVENLİĞİ YÖNETİM SİSTEMİ SERTİFİKASINA SAHİP ÇEŞİTLİ KURULUŞLARIN BGYS YAKLAŞIMLARI ÜZERİNE BİR İNCELEME

In today’s world, information is a valuable and indispensable asset for individuals and especially institutions as much as other economic assets. While the development of technology and communication provides many conveniences in life, it also brings many risks and threats. As a result of these emerging risks and threats, the concept of information security has gained serious importance; it’s inevitable for businesses, institutions and states to turn to the most appropriate information security solutions in order to store, protect and manage the information they have. Organizations are trying to comply with the standards and legal regulations such as ITIL, COBIT, and ISO 27001, which are most suitable for their strategies, goals, needs, and processes. Within the scope of this research, as a bounded universe; with the convenience sampling method, 20 organizations operating in metropolitan cities in Turkey that have ISO 27001 information security management system certificates were selected, and a study sample was created with 632 personnel working in these organizations, and the data obtained through the questionnaire were analyzed with the descriptive analysis method. In this way, it’s aimed to analyze the opinions about the ISO 27001 standard and ISMS applied in these organizations.
Design and implementation of school-based curriculum resource System based on micro-service architecture

In order to provide a platform for students to learn freely, a school-based curriculum resource system based on micro-service architecture is developed. The system designs the overall architecture of the system through business requirement analysis and functional requirement analysis. By using Vue as the front-end framework, Spring Cloud framework as the back-end of the system and MySQL as the storage database, the two subsystems of the front-end course resource website and background management system are realized, and the realization of some complex functions is analyzed.
Design of Mobile Application for Farmers

India is a global agricultural powerhouse, with farmers and other related workers serving as its backbone. The agricultural environment, like many other industries, is plagued by long-standing issues and unanticipated challenges that must be addressed. This study has taken a look at some of the most pressing concerns that farmers have. We identified problems in conveying correct and timely information about the crops to grow, weather, pesticides, fertilisers, various government schemes on agriculture, disease detection methods. The digital form of information has reached the farmers quickly. Nowadays, normally they have possessed smartphones so that information through this device is a right way to reach them fastly. Although several agriculture-based mobile applications are already available, the application in the regional language will benefit the farmers. In Tamil Nadu, the Uzhavan mobile application is developed and released by the state government in the Tamil language. This application has its disadvantages. When we communicate with the nearby farmers, they gave their needs. They have collected through a survey form. From that detail, we present the difficulties among the farmers in the Coimbatore district. After this identification stage, we have tried to model an Agri-Tech product in Tamil and deliver the information on their requirements. Finally, the benefits and future scope of the proposed model have been included in this paper.
Improving Students’ Writing Skill through Project-Based Learning, Process Writing, and Instagram

The goal of this joint classroom action research was to help students enhance their capacity to write hortatory exposition texts. It involved 33 high school students as research participants. The data collection device in this study was a writing test. According to the findings of the study, combining project-based learning with process writing and Instagram could help students improve their writing skills. Students can improve their average writing score if it is higher than the passing grade. All of the students were able to improve their writing score by at least ten points over their previous score on the first test. Furthermore, 81,8% of the students were able to get the minimum passing mark.
Shared Resource Quality Monitoring and Dynamic Trust Management in a Community Cloud

The collaboration tools offered by Cloud Computing have increased the need to share data and services within companies or between autonomous organizations. This has led to the deployment of community cloud infrastructures. However, several challenges will arise from this grouping of heterogeneous organizations. One of the main challenges is the management of trust between the actors of the community. Trust issues arise from the uncertainty about the quality of the resources and entities involved. The quality of a resource can be examined from a security or functional perspective. Therefore, ensuring security and monitoring the quality of resources is to ensure a high level of trust. Therefore, we propose in this paper a technique for dynamic trust management and quality monitoring of resources shared between organizations. Our approach consists, on the one hand, in evaluating the quality of resources based on quality of service measurement attributes and, on the other hand, in updating the trust values according to the information deduced from these measurements. The proposed framework is evaluated in terms of resource sharing success rate and execution time. Experimental results and comparison with TNA-SL and InterTrust models show that the framework can identify and track the behavior of malicious organizations with relatively low execution time.
Research on Computational Logic of Academic Detection System

The problem of academic misconduct has a long history. Today, with the sufficient information exchange and the rapid development of science and technology, the technical difficulty of "plagiarism" or "plagiarism" is decreasing day by day, and the corresponding governance ability of academic misconduct has also been significantly improved. Relying on the progress of computer science and artificial intelligence, the judgment of the similarity of works can be solved by many non-artificial methods. Correspondingly, for the identification of the similarity of works, the range and proficiency of people's grasp of relevant information become the rationality of computer code. Since the "Zhai Tianlin Incident", the Ministry of Education has increased the governance of academic norms, which is reflected in the operational level of algorithm improvements through the academic misconduct inspection system, regular sampling of dissertations, and changes to the similarity requirements for dissertations. The latter two requirements are based on the completeness of the check system, so there is no room for the audience to discuss whether the black box of the algorithm of the system is reasonable. This article intends to start from the perspective of law, combining the computer logic of the duplicate checking system and the reverse engineering of the results to analyze the rationality of its calculation logic.
Pedagogical principles of the formation of telecommunications competence of future specialists of the natural science profile

The article is devoted to the establishment of a system of interrelated general and private pedagogical principles that contribute to the formation of the telecommunications competence of future specialists of the natural science profile within the framework of professional education as a systemic quality of personality that determines their readiness for a special form of professional activity and life in the information society, including knowledge of telecommunications technologies, forms, norms, rules and traditions of information exchange by its carriers, work in telecommunications networks; ability to develop independently in the field of telecommunications technologies, assimilation of large amounts of new information, forecasting results when solving problems in the field of professional activity; skills of transmitting, receiving, storing, encoding, protecting, analyzing, transforming, generating information. The authors interpret the concept of "principle" as a basis, a rule that provides a basis from which they proceed and are guided in the implementation of a particular activity and under pedagogical principles they understand certain basic provisions from which they propose to proceed in the organization of the educational process and which are a form of systematization of knowledge that allows making some theoretical constructions and their use in the field of organizing the process of student’s personality development. In the context of the proposed research, the pedagogical principle acts as a methodological knowledge about the organization of interaction between the teaching staff and students in the process of forming the latter’s telecommunications competence.