Reviewerly/exHarmony huggingface dataset:
E-learning as a mean of forming students’ mathematicalcompetence in a research-oriented educational process

The article is devoted to the substantiation of approaches to theeffective use of advantages and minimization of disadvantages and losses ofe-learning as a mean of forming mathematical competence of students in theconditions of research-oriented educational process. As a result of theascertaining experiment, e-learning has certain disadvantages besides its obviousadvantages (adaptability, possibility of individualization, absence ofgeographical barriers, ensuring social equality, unlimited number of listeners,etc.). However, the nature of these drawbacks lies not as much in the plane ofopportunity itself as in the ability to use them effectively. On the example of thee-learning course (ELC) “Mathematical Analysis” (Calculus) of BorysGrinchenko Kyiv University, which is developed on the basis of the Moodleplatform, didactic and methodical approaches to content preparation andorganization of activities in the ELC in mathematics are offered. Given thespecifics of mathematics as a discipline, the possibility of using ELCs to supportthe traditional learning process with full-time learning is revealed, introducing apartially mixed (combined) model. It is emphasized that effective formation ofmathematical competence of students by means of e-learning is possible only in the conditions of research-oriented educational environment with active and concerned participation of students and partnership interaction. The prospect of further research in the analysis of e-learning opportunities for the formation of students’ mathematical competence, in particular, research and investigation tools, and the development of recommendations for the advanced training programs of teachers of mathematical disciplines of universities are outlined.
Projection Mapping Using Optical Illusion Effect for Digitizing Gimmick Picture Books

In this paper, an electronic “gimmick picture book” whose contents pop up when its pages are flipped is proposed. From educational aspect, the gimmick picture books are appropriate for training children’s cultivate imagination and special recognition abilities. However, production of the handmade gimmick requires high technical skills. Our proposed method realizes the gimmick by combination of a projection mapping method and a trick art technique which is used for a pseudo stereoscopic image.
Research on Underground Pipeline Fault Monitoring Method Based on Big Data

Abstract Distributed optical fiber sensors can sensitively sense local temperature changes caused by leakage at any position of the pipeline, but massive monitoring data has significant spatio-temporal non-stationary characteristics, and it is difficult to directly diagnose leakage based on the monitoring data. Under the framework of statistical pattern recognition, a spatio-temporal big data analysis method based on sliding window outlier analysis is proposed. Only the internal characteristics of distributed temperature monitoring data can be used to realize the intelligent identification of pipeline leakage, and the sliding is determined. The value method of window length and abnormal state diagnosis window length, and the physical simulation of prototype insulation steel pipe leakage monitoring was carried out. The results show that when the pipeline is intact, this method will not cause false alarms. Once the pipeline leaks, the method can quickly identify the pipeline leakage event and accurately locate the leak location.
A Framework for Resource Dependent EDSLs in a Dependently Typed Language (Pearl)

Idris' Effects library demonstrates how to embed resource dependent algebraic effect handlers into a dependently typed host language, providing run-time and compile-time based reasoning on type-level resources. Building upon this work, Resources is a framework for realising Embedded Domain Specific Languages (EDSLs) with type systems that contain domain specific substructural properties. Differing from Effects, Resources allows a language’s substructural properties to be encoded within type-level resources that are associated with language variables. Such an association allows for multiple effect instances to be reasoned about autonomically and without explicit type-level declaration. Type-level predicates are used as proof that the language’s substructural properties hold. Several exemplar EDSLs are presented that illustrates our framework’s operation and how dependent types provide correctness-by-construction guarantees that substructural properties of written programs hold.
A novel cloud game framework in dual Gigabit Network

Abstract With the development of 5G, cloud computing, and artificial intelligence (AI) technology, cloud game has become a hotspot about application and innovation of Gigabit bandwidth. This paper, firstly, analyses the present situation and development of cloud game to clarify the key business and key technology of cloud game, then, proposes an operational framework of cloud game, finally, the feasibility of the proposed framework is discussed and several suggestions about the operation of cloud game are given.
Characterization of Dephasing and Dissipating Effects in Hybrid Quantum Systems

Open hybrid quantum systems are characterized via the generalized Wigner function and its corresponding features. Various hybrid quantum states, such as qubit-coherent states, are considered.
Similar Situations Identification for the Game of Soccer

In this work, we study the repeatability of game situations in different soccer matches. This analysis is aimed to evaluate the possibility of reusing these records as part of a game AI system. Due to a variety of team formations, an appropriate comparison of game situation pairs is a challenging task. Identification of similar situations in the game of soccer can be presented as an evaluation of geometrical similarity of players’ coordinates on the field. Team formations have semantic value, and we show that role-based analysis is essential for successful matching. Obtained results can be applied for the tasks of sports analytics and AI design.
Remarks on statistical evaluations for facial expression recognition

In “Multidimensional Bernstein polynomials and Bézier curves: Analysis of machine learning algorithm for facial expression recognition based on curvature, Appl. Math. Comput. 344–345 (2019) 150–162”, some statistical evaluations on feature vectors were given in order to analyse their meaningfulness while classifying human facial expressions. In this paper, by using some results arising from SPSS program, we provide some further statistical evaluations and observations which are related to features based on the calculated Hausdorff distances between Bézier curves belonging to the regions that shape human facial expressions.
Theoretical accents of a new scientific paradigm in art education

The author explains the value of the approach to the development of a new scientific paradigm in art education. In art education, the moral aspect of teacher training, which can convey to students the need to self-esteem their experiences and the ways in which they are expressed in artistic language, is the most important measure. According to the author, the appeal to philosophical foundations, cultural values, historical facts of experimental achievements, creating new stages for the development of civilization as a whole, forms a special national and cultural appeal for the unity of a multinational country. Consequently, the formation of a single digital educational platform for countries such as China and Russia requires clarifying the relationship between the nurturing and forming professional components of the learning process.
Twitter Spam Detection: A Systematic Review

Nowadays, with the rise of Internet access and mobile devices around the globe, more people are using social networks for collaboration and receiving real-time information. Twitter, the microblogging that is becoming a critical source of communication and news propagation, has grabbed the attention of spammers to distract users. So far, researchers have introduced various defense techniques to detect spams and combat spammer activities on Twitter. To overcome this problem, in recent years, many novel techniques have been offered by researchers, which have greatly enhanced the spam detection performance. Therefore, it raises a motivation to conduct a systematic review about different approaches of spam detection on Twitter. This review focuses on comparing the existing research techniques on Twitter spam detection systematically. Literature review analysis reveals that most of the existing methods rely on Machine Learning-based algorithms. Among these Machine Learning algorithms, the major differences are related to various feature selection methods. Hence, we propose a taxonomy based on different feature selection methods and analyses, namely content analysis, user analysis, tweet analysis, network analysis, and hybrid analysis. Then, we present numerical analyses and comparative studies on current approaches, coming up with open challenges that help researchers develop solutions in this topic.
CHALLENGES TO PROVIDE REMOTE TRAINING IN ADULT EDUCATION DUE TO COVID-19 LOCKDOWN

Appears in: ICERI2020 Proceedings Publication year: 2020Pages: 7631-7636ISBN: 978-84-09-24232-0ISSN: 2340-1095doi: 10.21125/iceri.2020.1652Conference name: 13th annual International Conference of Education, Research and InnovationDates: 9-10 November, 2020Location: Online Conference
Research on Aerial Robot Based on Visual Servo

Abstract Towards target grasping by an aerial manipulator, an aerial manipulator system is presented, for which a separated control strategy is adopted. In this paper, a suitable adaptive visual servo controller is proposed based on the original aerial manipulator system, and a visual servo controller is designed based on the depth independent image Jacobian matrix. Thus, the grasping motion of the manipulator is controlled by the visual servo of the monocular camera, which can greatly enhance the functionality and speed of the aerial manipulator system. Furthermore, a unique single degree of freedom joint collocation camera is designed to enable the camera to lock the target object at any time during the motion of aircraft. Finally, this paper designs a unique state machine system, which can make the control system switch into any state.
Workshop Manajemen Evaluasi Pembelajaran Menggunakan Media Kahoot di Pondok Pesantren Al Musthofawiyah, Bogor

Pondok Pesantren Al Musthofawiyah, Bogor was only established about 9 years ago. With this fact, one thing that is lacking in the management of learning quality is the lack of inclusion of training for teachers in various training topics, both improving the quality of teaching and understanding and proficiency in using a variety of media to evaluate learning outcomes. Thus, an activity is needed to equip teachers in improving teaching abilities, as well as the ability of teachers in the aspect of learning evaluation. This is necessary, so that the quality of the process and learning outcomes of students at the Al Musthafawiyah Islamic Boarding School can be measured and further illustrate the quality of its graduates in terms of knowledge, attitudes and skills.Based on the above, the fundamental problem is the unequal knowledge, understanding and skills of teachers in using variations of instructional evaluation media in carrying out daily teaching tasks. The impact that occurs, in teaching teachers to students produces boredom and monotony, resulting in less enthusiasm of students' enthusiasm for learning, which has an impact on the resulting learning achievement is not optimal.Therefore we need a community service activity for teachers entitled kahoot learning evaluation management. In the Learning Evaluation Management workshop with Kahoot Media, there are four stages, namely: the conditioning stage, the exploration stage, the elaboration stage and the confirmation stage. Weaknesses at the Al Musthafawiyah Islamic Boarding School are not allowed for students to bring laptops, gadgets or other IT equipment. Under these conditions, the teachers condition the students in evaluating learning using kahoot media in the computer laboratory room.
Preventive Maintenance Optimization and Opex Impact in Oil and Gas

Organizations often consider maintenance as just a necessary cost, yet a focused and competent maintenance strategy delivers significant value by ensuring assets operate reliably and are available to produce product in accordance with business needs, and at the optimal lifting costs.Organizations are now developing Operational Excellence strategies in order to maximize asset performance and Opex lifting costs, by taking part to this seminar we will explain how to optimize maintenance PM and Organization based on real case study from offshore, and demonstrate that the appropriate actions for an organization can be achieved by focusing on reliability, PM optimization at asset level and also in terms of organizational to reduce major budget consumers (Logistic costs, Maintenance costs, POB costs, etc…).  Agenda:-               Introduction-               PM Optimization strategy in a multi-level assets-               Maintenance Workforce Organizations-               Impact of Optimization in terms of OPEX-               Overview of Market Weakness on Maintenance
PEMBERDAYAAN SISWA SMK MELALUI PELATIHAN PENERAPAN ALAT DETEKSI BANJIR BERBASIS IoT DI KAB. BULUKUMBA MELALUI PROGRAM KKN PPM

The output target to be achieved is to increase the awareness and empathy of students to the problems of the community in Salemba Village, Ujung Loe District, Bulukumba Regency especially the students of SMKN 3 Bulukumba, so that there is a change in the behavior of students and students of SMK 3 Bulukumba in addressing the importance of attitude, skills training, and adaptation strategies in dealing with disasters, which in turn can empower the community in knowledge, so that the community will actually become more understanding and 2. skillful in dealing with disasters; 3. Overcoming the problems faced by communities around the village in Ujung Loe District, Bulukumba Regency through training in attitudes, skills and adaptation strategies in dealing with disasters; 4. Students have the ability to compile programs and implement KKN-PPM programs with detailed planning for one month; 5. Students can collaborate with Bulukumba 3 SMKN Students through a training program. Based on the results of the implementation of the training and dissemination of disaster mitigation at SMKN 3 Bulukumba, it can be concluded as follows: 1) Increased skills and knowledge of SMKN 3 Bulukumba students towards the creation and application of IoT-based flood detection information technology; 2) increasing awareness of SMK 3 Bulukumba students will protect the environment from the dangers of flooding; 3) increasing knowledge of SMK 3 Bulukumba students about disaster response attitudes.
Measure the Software Quality based on Grasshopper Optimization Algorithm

Software quality is very essential function from development during the early life of software engineering.Software Quality helps to detect errors and potential errors during initial stage of design and software development process.In this paper, Grasshopper Optimization Algorithm (GOA) is used to improve software quality.Where multiple quality measures were used to calculate the quality standards that were used in testing the approved software.As software testing focuses on software defect.In addition this paper presents GOA to extract the best features of extraction to testing and evaluation of a set of software applications.The paper depended on NASA standards data.The result and experiment show that improved performance quality for all classification methods applied in the research grasshopper optimization algorithm based on feature selection and bagging for Software defect prediction.
Data sharing who is the owner? Who will use it?

This topic suggests reading and analysing an article about big data and data sharing issues (http://dx.doi.org/10.1016/j.agsy.2017.01.023). Data Privacy and Use White Paper. (2017). AgGateway.
A Comparative Study on the Center-based Iterative Hough Transform

Circle detection is one of the most critical aspects of computer vision and has been widely studied and developed in a variety of ways. The Center-based Iterative Hough Transform (CBIHT) is a method for unassisted multiple circle detection, based upon iterative uses of a center-based voting process to determine the circle’s center coordinate. This paper gives a thorough analysis of the CBIHT as well as a comparison with the Standard Hough Transform (SHT) and its well-known variants including the Generalized Hough Transform (GHT) and the Adaptive Hough Transform (AHT). When applied to synthetic and real-life circular images, our accuracy and performance comparison studies show that (i) the CBIHT is more computationally efficient than the SHT’s brute-force algorithm; (ii) the CBIHT’s center-based voting method has greater resilience to noise than the GHT and AHT’s gradient information method; and (iii) the CBIHT’s iterative process provides an adaptability and speed in unassisted multiple circle detection similar to that of the AHT; (iv) yet, the CBIHT requires no parameters for circle detection unlike the GHT and the AHT. All in all, a comparison with other methods highlights the aforementioned merit of the CBIHT, proving the CBIHT to be an excellent choice in detecting the circles with noise in real-life images.
MEBOW: Monocular Estimation of Body Orientation In the Wild

Body orientation estimation provides crucial visual cues in many applications, including robotics and autonomous driving. It is particularly desirable when 3-D pose estimation is difficult to infer due to poor image resolution, occlusion or indistinguishable body parts. We present COCO-MEBOW (Monocular Estimation of Body Orientation in the Wild), a new large-scale dataset for orientation estimation from a single in-the-wild image. The body-orientation labels for around 130K human bodies within 55K images from the COCO dataset have been collected using an efficient and high-precision annotation pipeline. We also validated the benefits of the dataset. First, we show that our dataset can substantially improve the performance and the robustness of a human body orientation estimation model, the development of which was previously limited by the scale and diversity of the available training data. Additionally, we present a novel triple-source solution for 3-D human pose estimation, where 3-D pose labels, 2-D pose labels, and our body-orientation labels are all used in joint training. Our model significantly outperforms state-of-the-art dual-source solutions for monocular 3-D human pose estimation, where training only uses 3-D pose labels and 2-D pose labels. This substantiates an important advantage of MEBOW for 3-D human pose estimation, which is particularly appealing because the per-instance labeling cost for body orientations is far less than that for 3-D poses. The work demonstrates high potential of MEBOW in addressing real-world challenges involving understanding human behaviors. Further information of this work is available at https://chenyanwu.github.io/MEBOW/.
The Impact of Organizational Justice on Achieving Job Satisfaction Case Study: Administration of Hamad International Airport (HIA)

This study aims at investigating the impact of organizational justice on achieving job satisfaction in the Administration of Hamad International Airport.For this purpose, the researcher used a descriptive analysis method, designed and distributed a questionnaire to (278) employees working for the Administration of Hamad International Airport.The study found out that the organizational justice had a high relative importance with an average of (3.907), and job satisfaction had a high relative importance with an average of (3.844).In addition, the study found out that there is an impact of the organizational justice on achieving job satisfaction, besides a statistically significant effect for a distributive justice, procedural justice, transaction justice (interactive) and ethical justice on achieving job satisfaction in the Administration of Hamad International Airport.The study recommended that the Administration of Hamad International Airport should reconsider the monthly salary policy, in terms of its suitability for the experiences of working individuals, their educational qualifications, and the courses obtained by them.The Administration should also try to achieve justice among individuals, foster cooperation and teamwork, and provide all the ingredients that are required to contribute to its success and hence achieve the desired goal.
THE DEVELOPMENT OF MEDIA EDUCATION OF PRESCHOOL AND PRIMARY SCHOOL AGE CHILDREN (1959–2018)

The relevance of the article is conditioned by the declining age when a child first comes into contact with the media. They have a positive impact on the development of preschoolers and schoolchildren, but pose a number of threats. The study of the genesis of media education in Ukraine allows to identify ideas that are appropriate for implementation at the present stage in order to reduce risks and increase the positive impact of the media on the formation of the child’s personality. The aim of the article is to substantiate the periodization of the genesis of media education of older preschool and primary school age children (1959–2018) and to identify opportunities for the use of promising ideas in the modern educational field. To achieve the aim of the research, a set of methods has been used: structural-systemic – allowed to consider the genesis of media education as a component of the system of preschool and primary education against the background of socio-political, socio-economic, pedagogical factors; retrospective and historical-typological analysis, with the use of which the periods, leading ideas and tendencies of the genesis of media education were singled out; narrative – to present research materials with the elements of analytics. As a result of the research, the periodization of the development of media education at preschool and primary education institutions within certain chronological limits has been substantiated. The leading tendencies of the selected periods have been determined. There have been distinguished three periods of the genesis of media education of preschoolers and primary school students: the first (1959–1990) – propaganda and educational; the second (1991–2010) – competence-technological; the third (2011–2018) – conceptual-experimental. Ideas that can be implemented at the present stage have been identified.
A REVIEW ON APPLICATIONS OF AUGMENTED REALITY PRESENT AND FUTURE

The objective of this paper is to provide an overview on Augmented Reality (AR) and the main applications of this technology.It describes the various fields in which AR is applied nowadays or will be applied in the near future.It also provides a brief overview on AR devices and provides solutions to some common problems which can be improved with the help of AR.Some features of Augmented Reality will be conferred in this paper.