Reviewerly/exHarmony huggingface dataset:
A Courses Ontology System for Computer Science Education

A computer knowledge system plays a crucial role in computer education owing to the diversification and speedy development of computer courses. There are many curriculum resources, especially in China, but most of them are relatively independent and cannot guide students to acquire more knowledge which is relevant to this course directly. To relieve these issues, in this paper, we propose an ontology system for the computer course architecture (OSCCA) to instruct, guide, and direct students efficient learning. OSCCA collects undergraduate course catalogs from the twenty famous Chinese universities and some network education websites. Then course entities and their interrelationships are culled to build Chinese course ontology. Based on these roles, OSCCA can provide effectively and contributed learning guidance to the fresh learner and OSCCA is developed by Java.
Error Analysis of Students’ Recount Text Writing – Junior High School Student

&lt;p class="Default"&gt;Students have some difficulties in learning English as foreign language. The problems in four skills often appear especially in writing skill. Writing has some aspects that must be structured according to the system of rules in conducting coherent arrangement of word, clauses, and sentences. Some teachers use guided writing method in developing students’ writing ability which makes student imitate and manipulate the model provided by teacher. The research analyzes semantic error in students’ writing. Most of students in Junior high school have difficulties in producing well-formed sentences. The research is Class Evaluation Research using purposive sampling technique that the sample is taken from 5 students’ text of third grade Junior High School Student in SMPN 1 Maospati. The objective of the study is to examine kinds of error commonly found in students’ text writing. The analysis revealed that Junior High School students’ writing difficulties are commonly in the grammatical prerequisites, lexical semantic property and often interlanguage interference in translation from the first language structure. The numerous errors also include the innapropriate use of the word and grammar in certain context or the form of the sentences. Based on the findings, suggestion for the teachers and students are given. The study concludes that the teacher should teach lexical semantic sense relation, focusing on the correct usage of the verbs and also emphasizing on the grammatical sense&lt;/p&gt;
Temporal Planning with Intermediate Conditions and Effects

Automated temporal planning is the technology of choice when controlling systems that can execute more actions in parallel and when temporal constraints, such as deadlines, are needed in the model. One limitation of several action-based planning systems is that actions are modeled as intervals having conditions and effects only at the extremes and as invariants, but no conditions nor effects can be specified at arbitrary points or sub-intervals.In this paper, we address this limitation by providing an effective heuristic-search technique for temporal planning, allowing the definition of actions with conditions and effects at any arbitrary time within the action duration. We experimentally demonstrate that our approach is far better than standard encodings in PDDL 2.1 and is competitive with other approaches that can (directly or indirectly) represent intermediate action conditions or effects.
IDENTIFIKASI CERITA ANAK BERBASIS BUDAYA LOKAL UNTUK MEMBUDAYAKAN LITERASI DI SD

Local culture is the identity of an area where in this era its features are increasingly eroded by foreign cultures. It happened because of the ease with which foreign cultures enter and blend in with local cultures which can directly affect the cultural structure of the nation. Likewise with folklore as if forgotten. Folklore is one of the national cultural heritages which is a national honor with a diverse culture that must be introduced to students since elementary school. This study aimed to identify the children's stories based on local culture and implement literacy culture at SD Kartika XX-I Makassar. The approach used in this research was descriptive qualitative with survey method while the data collection techniques used were observation, documentation, interviews and questionnaires. Based on the data obtained, the researchers identified twelve children's story titles which were then carried out by literacy to elementary students of Kartika XX-I Makassar. The application of literacy culture in SD Kartika XX-1 Makassar by 1) distributing story books to students 2) reading about 15-20 minutes, 3) students identifying moral values ​​contained in the story, 4) strengthening the moral values ​​of the story children and the application of local culture in accordance with national values.
Research on MOOC’s Teaching Method About the Category of Innovation and Entrepreneurship Courses

With the overall disposition in informationized education and the national "Internet plus" strategy, "Widespread Entrepreneurship and Innovation" is supported by more solid technology.The MOOC's teaching method of innovation and entrepreneurship courses is just adapted for the current visual teaching method which is popularized all over the society, realizing the breakthrough in four aspects: the limit in space and time, the bondage of uniqueness about knowledge system, the bottleneck in the lack of teaching resources, and one sidedness of performance evaluation.It truly realizes the free choice of learning space and time, diversified support for curriculum contents on the multi-level, re-integration and re-optimization for the teaching resources, and is more comprehensive in the performance evaluation method.
A Study of Color-emotion Image Set Construction and Feature Analysis

this paper mainly studies the method of feature extraction of image set, and makes an in-depth analysis between objective features and subjective features. Firstly, a color-emotion image set was constructed with the presentation of an image set construction scheme facing to the research of audiovisual fusion information processing. Secondly, this paper improved the color dominate extraction algorithm and the membership function of cool-warm attribute to acquire the better corresponding to human visual perception. Thirdly, a subjective evaluation experiment was introduced to extract subjective features. Finally, on the basic of feature extraction, this paper makes an in-depth analysis with these features, which has some interesting findings.
Training Staff Of Project Teams For Modern Business

The article is devoted to the study of the problem of training personnel for participation in the activities of project teams. In the work, the essence of team projects, their purpose, structure, functions of participants and the leader are determined by the example of the activities of teachers-managers. The paper describes the developed methodological system for training teachers and managers of the essence of project teamwork and the formation of their willingness to act as the head of the project team. The study presents the results of an experiment conducted after testing the methodological system of teaching the basics of project team activities to the undergraduates training in the field of “Education Management”, confirming the effectiveness of the developed methodology and its practical significance. The relevance of studying the specifics of the formation of a project team is argued from several perspectives. First of all, the development of project management concepts requires constant theoretical and methodological improvement. In addition, any management related to the human factor is always an urgent problem for researchers, since personnel management must be constantly improved, taking into account the individual needs of each person. It is necessary to have people who create a team to complete the tasks for effective management of any project. After all, the future of the project will depend on how efficiently it is formed. In this regard, the problem of individual readiness for project teamwork is a very important and relevant problem of modern science and pedagogical practice.
A Teacher Professional Development Program on Teaching STEM-Related Topics Using Augmented Reality in Secondary Education

Science, Technology, Engineering and Mathematics (STEM) Education is a field in which schools invest considerable resources and time to bring innovative solutions within their curricula. At the same time, Augmented reality (AR)Augmented Reality (AR) is an emerging technology in the Immersive Learning Landscape. The EU-funded Erasmus + project Enlivened Laboratories in STEM (EL-STEM) aims to introduce a new approach, through the provision of integrated inquiry-based STEM learning approaches supported by Augmented RealityAugmented Reality (AR) in school classrooms and laboratories. A multifaceted Teacher Professional Development (TPD) program has been designed within EL-STEM to familiarize teachers with the potential of AR technology for enhancing the teaching and learning processes in secondary STEM educationSTEM education . Teachers can, therefore, employ this technology, to further encourage student’s engagement and strengthen their twenty-first-century skills. This chapter highlights the necessity of designing and implementing such a TPD program, provides an overview of the pedagogical framework underlying the current state of the suggested EL-STEM TPD program and outlines its content and structure.
OPPORTUNITIES TO MINIMIZE HARDWARE AND SOFTWARE COSTS FOR IMPLEMENTING BOOLEAN FUNCTIONS IN STREAM CIPHERS

Currently, nonlinear Boolean functions are actively investigated worldwide. However, many questions remain unanswered. The theory of nonlinear Boolean functions that are suitable for use in cryptographically strong algorithms is significantly incomplete. Despite the existence of numerous publications on these themes, many issues related to the interconnection of design characteristics affecting the generator’s performance and its cryptographic characteristics still remain unsolved. The possibility of generating a special type of sequence, called de Bruijn sequence, at minimal hardware and software costs to implement nonlinear Boolean functions in stream encryption systems, is the main subject of this work. The paper presents the possible structure boundaries (algebraic degree of a Boolean function, the number of monomials in a function) of iterative de Bruijn sequence bitrate generators for various generated sequence characteristics, such as linear complexity and autocorrelation function. The profile of the linear complexity of the studied sequences is close to the expected value of the linear complexity, as well as for a truly random sequence.
Analisis Masalah Heteroskedastisitas Menggunakan Generalized Least Square dalam Analisis Regresi

Regression analysis is one statistical method that allows users to analyze the influence of one or more independent variables (X) on a dependent variable (Y).The most commonly used method for estimating linear regression parameters is Ordinary Least Square (OLS). But in reality, there is often a problem with heteroscedasticity, namely the variance of the error is not constant or variable for all values of the independent variable X. This results in the OLS method being less effective. To overcome this, a parameter estimation method can be used by adding weight to each parameter, namely the Generalized Least Square (GLS) method. This study aims to examine the use of the GLS method in overcoming heteroscedasticity in regression analysis and examine the comparison of estimation results using the OLS method with the GLS method in the case of heteroscedasticity.The results show that the GLS method was able to maintain the nature of the estimator that is not biased and consistent and able to overcome the problem of heteroscedasticity, so that the GLS method is more effective than the OLS method.
Hybrid Robust Image Steganography approach for the secure transmission of biomedical images in Cloud

INTRODUCTION: A rich patient may reside in their home and may prefer to take treatment with all the medical appliances inside the premise. A patient may take treatment in the less specialized hospital, which may be taking a suggestion from a specialist working in a specialized center. In such a scen
Research on Ocean Government Data Extraction and Clustering Based on XML Document Similarity Technology

Yao, B.; Wang, L., and Liu, S., 2019. Research on ocean government data extraction and clustering based on XML document similarity technology. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 259–262. Coconut Creek (Florida), ISSN 0749-0208.In component clustering, a recursive algorithm for computing the similarity between components based on extensible markup language (XML) description is proposed, which can effectively measure the structure and semantic information contained in the XML description document. The document similarity matrix is constructed. The high-dimensional samples are mapped to the two-dimensional plane by a genetic algorithm, and the k-means algorithm is used to cluster to obtain the global optimal component clustering. Finally, experiments are carried out on the component library test model. The experimental results show that the component clustering algorithm based on XML similarity is feasible and effective in component query practice.
Exploring the Jungle of Intuitionistic Temporal Logics

The importance of intuitionistic temporal logics in Computer Science and Artificial Intelligence has become increasingly clear in the last few years. From the proof-theory point of view, intuitionistic temporal logics have made it possible to extend functional languages with new features via type theory, while from its semantical perspective several logics for reasoning about dynamical systems and several semantics for logic programming have their roots in this framework. In this paper we consider several axiomatic systems for intuitionistic linear temporal logic and show that each of these systems is sound for a class of structures based either on Kripke frames or on dynamic topological systems. Our topological semantics features a new interpretation for the `henceforth' modality that is a natural intuitionistic variant of the classical one. Using the soundness results, we show that the seven logics obtained from the axiomatic systems are distinct.
FPETS: Fully Parallel End-to-End Text-to-Speech System

End-to-end Text-to-speech (TTS) system can greatly improve the quality of synthesised speech. But it usually suffers form high time latency due to its auto-regressive structure. And the synthesised speech may also suffer from some error modes, e.g. repeated words, mispronunciations, and skipped words. In this paper, we propose a novel non-autoregressive, fully parallel end-to-end TTS system (FPETS). It utilizes a new alignment model and the recently proposed U-shape convolutional structure, UFANS. Different from RNN, UFANS can capture long term information in a fully parallel manner. Trainable position encoding and two-step training strategy are used for learning better alignments. Experimental results show FPETS utilizes the power of parallel computation and reaches a significant speed up of inference compared with state-of-the-art end-to-end TTS systems. More specifically, FPETS is 600X faster than Tacotron2, 50X faster than DCTTS and 10X faster than Deep Voice3. And FPETS can generates audios with equal or better quality and fewer errors comparing with other system. As far as we know, FPETS is the first end-to-end TTS system which is fully parallel.
EVALUASI PENERAPAN TEKNOLOGI INFORMASI E-LEARNING PADA KAMPUS SWASTA MENGGUNAKAN COBIT 4.1 (STUDY KASUS PRODI ILKOM UNIVERSITAS BUMIGORA)

An online learning system (e-learning) at private tertiary institutions is built to facilitate lecturers and students in the teaching and learning process. Through the e-learning learning information system students can download course material, send assignments, work on daily and semester exam questions, find out the value of assignments and examinations. Bumigora University has been implementing e-learning since 2017. Thus to determine the usefulness and feasibility of applying the application must be evaluated in accordance with the vision and mission of the institution. In this study the evaluation of the application of e-learning will use the COBIT 4.1 framework with the domain monitoring evaluation. The results of this study determine the level of maturity of the application of e-learning applications today (as-is) and the expected maturity (to-be).
Generate (Non-Software) Bugs to Fool Classifiers

In adversarial attacks intended to confound deep learning models, most studies have focused on limiting the magnitude of the modification so that humans do not notice the attack. On the other hand, during an attack against autonomous cars, for example, most drivers would not find it strange if a small insect image were placed on a stop sign, or they may overlook it. In this paper, we present a systematic approach to generate natural adversarial examples against classification models by employing such natural-appearing perturbations that imitate a certain object or signal. We first show the feasibility of this approach in an attack against an image classifier by employing generative adversarial networks that produce image patches that have the appearance of a natural object to fool the target model. We also introduce an algorithm to optimize placement of the perturbation in accordance with the input image, which makes the generation of adversarial examples fast and likely to succeed. Moreover, we experimentally show that the proposed approach can be extended to the audio domain, for example, to generate perturbations that sound like the chirping of birds to fool a speech classifier.
Transformation Of Mathematical Education In Russia And Moral Education

Various factors caused by globalization, the implementation of the market in all spheres of life have an impact on the modern mathematics education in Russia. Thus, certain trends in the Russian mathematical educational transformation have been outlined over the past decades. There has been a change in its content, the gap between the primary education, profile and specialized training levels of school mathematics has been increased. There were attempts to replace the traditional systematic course of mathematics by training oriented on practice, and to improve financial literacy instead of studying the fundamental mathematical facts. Abandoning the traditions, these trends can negatively affect the moral state of Russian society. The pedagogical nature of training, systematic courses (courses based on the axiomatic method and “Euclidean-style” proofs), oral examinations, permanent textbooks and curriculum should be included into Russian mathematical education traditions. In the teaching of mathematics, moral education in Russia is translated both through the content (by solving specially selected textual mathematical problems, the deductive nature of the presentation), and through the teaching forms and methods (the main principle for the teacher is the love for children). The moral criterion is the most important for the plot selection of such mathematical problems. These tasks should cultivate love of neighbor, mercy, diligence, respect for other people’s work, careful attitude to nature, aesthetic taste, healthy lifestyle formation, etc. These qualities are necessary for a young person to maintain their identity in the global world.
Adaptively Innovative Management Approaches In Project Activities

A study of adaptive-innovative mechanisms providing improved management of project activities has been carried out, ways of its optimization in the context of educational practice have been identified, a system for translating adaptive-innovative experience through the online design of technology for project activities has been developed. Optimization of online designing of technology for project activities is ensured using technological maps, including scientific, procedural, descriptive, and procedurally effective components of design and reflecting adaptively innovative mechanisms for improving management. Technological maps of the online design of pedagogical systems allow getting an idea about the following: – about the possibilities and prospects of using adaptive-innovative pedagogical technologies in the educational process (principles, mechanisms of implementing adaptations-innovations of technological microstructures, original methods and tools for assessing competencies); – on the rational and justified use of mechanisms and methods of adaptations, innovations of technological microstructures in educational organizations, taking into account subject specifics; – on the use of adaptive-innovative pedagogical technologies to optimize the collection, processing, storage and transmission of professionally significant information. At the same time, familiarization with technological maps of the online design of pedagogical systems will allow learning the following: – apply adaptations-innovations of technological microstructures in solving problems specific to areas and types of pedagogical activity; – analyze the experience of using adaptive-innovative pedagogical technologies in the educational process, introducing its results into practice; – develop training plans using adaptive-innovative technologies. A systematic approach to the application of technological maps ensures the preservation of effective traditional approaches to management and the popularization of adaptive-innovative practices.
Missing Values Estimation on Multivariate Dataset : Comparison of Three Type Methods Approach

Knowledge discovery has become ever more essential in the digital era. The very first step of knowledge discovery is data acquisition. It can be gathered from all across the field and automatically made the data type is also various. The result of that data acquisition process is an arguably-huge dataset. Observed data can be achieved by several method, such as censor record or by frequent observation. Each of the analysis process consists of several steps, one of them is preprocessing. Preprocessing is a step or phase to identify, selection, or problem handling of the data. Missing values handling are included in the preprocessing step. The purpose of this research is to find out which type of approach of missing values handling work better on this type of dataset. This research uses three approaches and been compared to each other such as Mode Imputation, Decision tree, and Class Center based Missing Values Imputation. To perform a fair comparison among them, several scenarios of missing values appearance have been made. Dataset scenarios for this study are actually artificially "deleted" to be able to measure the performance of the methods. From the evaluation process, Decision Tree method shows a consistency even on different missing point's amount. Numerically have a slightly lower that the other methods.