Reviewerly/exHarmony huggingface dataset:
Dynamic worksheets for learning and teaching geometry in primary school education

This article presents a proposal and didactic experience of the use of information and communications technology in the classroom to strengthen teaching and learning processes of sixth grade geometry students in Chile. Initially, the background and reference framework that underlie the problem with current research are shown. Then the results of the diagnostics of elementary school teachers and their collaborative use of mathematics and technology are presented. All the above is presented as support to design the pedagogical proposal through dynamic worksheets and use of GeoGebra software. Finally, descriptive results of the implementation, impact and level of satisfaction are provided.
Evaluation of Deep Learning Models for Kannada Handwritten Digit Recognition

Handwritten digit recognition is a basic and important problem in computer vision. While it has been studied intensively, the newer datasets keep bring new challenges to existed solutions. A new Kannada-MNIST dataset is mainly digital images of the Kannada language, which contains 70,000 28×28 gray-scale sample images and 10 classes. It also contains a Dig-MNIST dataset, which is an out-of domain test sample dataset and a more challenging test dataset for recognition. In this paper, we evaluate the state-of-art deep learning models for Kannada-MNIST and improve their performance with data augmentation and transfer learning techniques. We manage to achieve a best accuracy of 90.27% for Dig-MNIST in the literature with Inception Model.
Good for Misconceived Reasons: Revisiting Neural Multimodal Machine Translation

A neural multimodal machine translation (MMT) system is one that aims to perform better translation by extending conventional text-only translation models with multimodal information. Many recent studies report improvements when equipping their models with the multimodal module, despite the controversy whether such improvements indeed come from the multimodal part. We revisit the recent development of neural multimodal machine translation by proposing two \textit{interpretable} MMT models that achieve new state-of-the-art results on the standard \dataset dataset. To our surprise, however, while we observe similar gains as in the recent developed multimodal-integrated models, our models learn to \textit{ignore} the multimodal information. Upon further investigation, we discover that the improvements bought about by the multimodal models over text-only counterpart are in fact results of the regularization effect. We report our empirical findings which express the importance of MMT models' interpretability and set new paradigms for future MMT research.
Using Earth Mover's Distance and Machine Learning for Recognizing Textual Entailment in Arabic

Recognizing Textual Entailment (RTE) is a task of Natural Language Processing (NLP) in which two texts denoted TEXT (T) and HYPOTHESIS (H) are processed by a system to determine whether the meaning of H is inferred (entailed) from T or not. This task is useful for several NLP applications and it has attracted a lot of attention in research. Most of studies focused on English as a target language. In this paper, we give an overview of the main studies on Textual Entailment for English and Arabic and we present a new approach to deal with this task for Arabic using a measure of similarity based on Earth Mover's Distance, and machine learning. We experimented this approach using state of the art Arabic NLP tools and we achieved encouraging results. Although we have applied this approach only to Arabic, its application to other languages is still possible.
A Novel Approach to Depth Distortion Score Computation in 3-D Image Retargeting

3D Image quality degradation can be observed by measuring the depth distortion of an image. The depth distortion is based on the adjustment of image aspect ratio. This aspect ratio can be increased in order to achieve the better depth, which subsequently reduces the degradation in the 3D image. This phenomenon is applied on 3D animated movies by abolishing the blurriness in the pair of images. These pair of images are called as ‘stereo images. The stereo images are found in the pairs such as left stereo image and right stereo image. In 3D animated movies, different viewpoints are designed for left and right eye. So, when anyone observes the movie with naked eyes, the accuracy in visibility gets affected. This problem can be eradicated by wearing the chemically affected 3D sterilize goggles for a short span of time. The proposed method of The Disparity Map Acquisition (DMA) can achieve the task in some significant way, which gives rise to the depth distortion with improved disparity matrix. In this paper, we emphasis on depth score enhancement in 3D stereo images retargeting to accomplish the acceptable 3D images with improved depth distortion score. The experimental results show the stereo seam carving that neglects the unwanted image patches in order to generate an acceptable 3D stereo image with the better visual effects. This may lead to the non-usability of 3D sterilize goggles and eventually helps and reduces the burden on Indian economy.
Self-development of novice lecturers at the educational organization of the MIA of Russia

The article considers the novice lecturers’ purposeful pedagogical training at the school of pedagogical skills as a component of the structure of the technology for improving pedagogical skills. The topicality of the problem under research lies in the implementation of the competent specialist’s training at the educational institution in the system of the Ministry of Internal Affairs of Russia. The success of the educational training is possible only due to the teacher’s self-development. Our research is targeted at the defining of the formed self-development system among the novice lecturers. In the process of the experimental study, two groups of novice lecturers with different levels of the formed self-development system are identified. As a result of the research, the reasons for the unformed system of self-development have been revealed: - the lack of the subject’s efforts related to the activity; - doubts about the value of his or her own personality; - the insufficient of self-acceptance as a personality. In the described research the following methods are applied: a theoretical analysis of psychological and pedagogical literature; empirical research methods: the test «Research of self-attitude» by V.V. Stolin, S.R. Panteleev, aimed at representing the individual about the meaning of «I»; a test to determine the level of self-development, aimed at the identifying the subject’s ability to self-development; statistical method for processing research results. The practical significance of the work lies in the fact that within the framework of self-development, the attitude of the individual to his or her “I” among teachers who came from field offices of MIA of Russia to start educational activity has been studied.
Geostatistical Classification of Intertidal Surface Sediments Using Log-ratio Transformation and High-resolution Remote Sensing Imagery

Park, N.-W. and Jang, D.-H., 2020. Geostatistical classification of intertidal surface sediments using log-ratio transformation and high-resolution remote sensing imagery. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T. (eds.), Advances in Geospatial Research of Coastal Environments. Journal of Coastal Research, Special Issue No. 102, pp. 157-165. Coconut Creek (Florida), ISSN 0749-0208.This paper presents a multivariate geostatistical approach to classify intertidal surface sediments by combining compositional data analysis and high-resolution remote sensing imagery. An isometric log-ratio (ilr) transformation is first applied to the sediment composition data prior to employing geostatistical analysis to consider the compositional properties of the sediment compositions. To complement the information deficiency of sparse field measurements, high-resolution remote sensing imagery is considered as exhaustive soft information and integrated with the ilr transformed balances via simple kriging with varying local means (SKLM). An inverse ilr transformation is then applied to the SKLM results to obtain sediment compositions over the study area. Finally, Shepard's classification scheme is applied to the sediment compositions to classify the intertidal surface sediments. A case study was conducted on the Baramarae tidal flats in Korea with high-resolution KOMPSAT-2 imagery to demonstrate the effectiveness of the proposed geostatistical approach. The classification results produced by the integration of high-resolution remote sensing imagery via ilr transformation and SKLM outperformed those based on cokriging of sediment compositions, with an improvement of approximately 11.7 %p in overall accuracy. This improvement was attributed to the superior prediction capability of SKLM for sediment compositions. Further, detailed variations in the sediment distributions in the study area, which could not be observed when using only a limited number of sediment samples, could be revealed by integrating the high-resolution remote sensing imagery. Therefore, the geostatistical integration approach that properly accounts for both the property of sediment compositions and the exhaustive soft information from remote sensing imagery could be effectively applied for the classification of intertidal surface sediments.
Knowledge monitoring algorithm development for universities, using proctoring tools, for a group of students

This article is devoted to the issues associated with the organization and implementation of a reliable monitoring of students' knowledge in a higher education institution in the context of a challenging epidemiological situation in the world and a forced full-scale educational process transfer to an electronic implementation format. In early 2020, higher education institutions were not ready to switch over to a distance work format. Educational organizations encountered a huge list of problems affecting literally every single element of the educational process. The most strongly this transition affected the students' knowledge monitoring process. At that time, universities had neither regulatory, nor methodological information base that could become a basis for developing individual approaches to solving the problem of knowledge monitoring process organization, using information technologies; the experience in arranging training sessions, accumulated by institutions over the past six months, gives the advantage. However, it’s important to understand that it’s impossible to control students' knowledge en-masse in approximately the same time interval without appropriate software and an established performance algorithm & implementation procedure.
A Study on the Teaching Speaking of ‘-geodeun(yo)’ based on intonation information for Korean Learners

The purpose of this study is to suggest how to teach Korean learners not only meaning and pragmatic functions but also appropriate intonation based on the environment in which the Korean ending ‘-geodeun(yo)’ is used. In this study, the pragmatic function is set as ‘to convey facts that the speaker doesn’t think the listener knows.’ Based on this, it is suggested that the environment for using ‘-geodeun(yo)’ in Korean education should be divided into giving reasons and presenting background knowledge & introducing topic to learners according to the different intonation information. The basic accent of ‘-geodeun(yo)’ in the context of giving reasons is a falling tone, and if used as an rising tone, negative emotions or attitudes may be contained, which may cause communication problems. On the other hand, in the case of ‘-geodeun(yo)’ which is used in situations where the background of the content to be spoken is presented or the topic of conversation is introduced, the basic intonation is in an rising tone, and in this case, when used a falling tone, it contains different emotions of the speaker. Focusing on the fact that ‘-geodeun(yo)’ can be interpreted in a different way depending on the discourse situation and intonation, the actual teaching plan is suggested as a way to reduce confusion among learners and increase their intuition about sentence patterns. (Hankuk University of Foreign Studies·Cyber Hankuk University of Foreign Studies)
The Impact of Internal Work Environment on the Retention of Healthcare Providers at Turaif General Hospital

This study attempted to identify the impact of internal work environment on the retention of healthcare providers at Turaif General Hospital in the Kingdom of Saudi Arabia. In particular, the study aimed to identify the dimensions of work circumstances, compensation, and relationship with colleagues, professional growth, and the level of healthcare providers’ retention. In order to achieve the study goals, the researcher used the descriptive analytical approach. The researcher used the questionnaire as the study tool. The study population comprised all the healthcare providers at Turaif General Hospital. Questionnaires were distributed to the entire study sample that consisted of 220 individuals. The number of questionnaires valid for study was 183 questionnaires. The research findings were as follows: the participants’ estimate of the work circumstances dimension was high (3.64), the participants’ estimate of the compensation dimension was moderate (3.32), the participants’ estimate of the relationship with colleagues dimension was high (3.62), the participants’ estimate of the professional growth dimension was weak (2.39), and the participants’ estimate of healthcare providers’ retention level was intermediate (2.75). Accordingly, the researcher’s major recommendations are: the need to create the right atmosphere for personnel in hospitals, the interest of the hospital to provide the appropriate conditions for the staff in terms of the physical and moral aspects for building the work adjustment in the staff, and conducting training courses and educational lectures for personnel in hospitals on how to cope with the work pressures.
Penerapan Metode Dijkstra untuk Menentukan Jalur Lintasan Terpendek Kota Kisaran Menuju Objek Wisata Simalungun

Kisaran City is one of the cities in North Sumatra Province, and Simalungun tourism object is a tourist destination located in Simalungun Regency, North Sumatra Province. The purpose of this paper is to determine the shortest path or alternative route from the town of Kisaran (the starting point) to one of the tourist objects in Simalungun which took 18 samples of tourist destinations. The method used in this proposed paper is the Djikstra method which is often used by researchers and academics to determine the shortest route or the fastest route on a journey (expedition). The research data used is only from the google map to calculate each route between cities to tourist objects in Simalungun district. The application used is a PHP web program to simulate the final display of the process of finding the shortest path. The results of this research are in the form of information so that the residents of Kisaran city will know better about the shortest and fastest route to get to tourist objects in Simalungun Regency.
Interlanguage performed by the students of English Literature Study Program at Universitas Kristen Indonesia

Interlanguage is often heavinterlanguagey influenced by the first language (L1) and it is inevitable in the process of second language learning. This process may make it seem perfectly logical to the learner, although it is incorrect. It is important for teachers to understand this and also to see it as a series of learning steps. This paper aims at finding the interlanguage performances made by the English Literary students at Universitas Kristen Indonesia and the causes of interlanguage itself. The method applied in this research is a qualitative–descriptive method whose data are the first-year English Literary students’ argumentative writings. All data were identified in order to obtain language development in relation to grammar acquisition conducted by the students. The first result shows that the interlanguage performance consists of grammar aspects namely tenses, singular and plural, relative pronoun, collocation, passive voice, preposition, article, gerund, modality, agreement, and native language transfer. The second one shows overgeneralization, oversimplification and native transfer were the causes of interlanguage.
Updating the Augmented Reality Sandbox for Geophysics, Structural Geology and Stratigraphy

&amp;lt;p&amp;gt;One of the challenges for students of geosciences is learning to read geological maps, interpret structural geology, and understand the link between geology and geophysical properties. Augmented Reality (AR) sandboxes are interactive visualization tools that are becoming increasingly popular to demonstrate various earth processes.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;An AR sandbox consists of a box filled with white sand and uses a Kinect 3D camera to continuously scan the topography of the sand surface. The topographic view of the structures sculpted by the user is then blended with digital information and a computed image is projected back onto the sand surface. Due to their intuitive operation, AR Sandboxes serve as a powerful science outreach and communication tool by making abstract concepts easy to see through the leveraging of playful learning and visualization, offering huge potential for teaching geological and geophysical principles.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Several versions of AR Sandboxes have been developed for a whole range of scenarios, spanning a wide variety of Earth Science topics and learning environments. The most common scenarios are from physical geography, hydrology and ecology. Their underlying data models stay at or close to the surface, making it hard to incorporate geological models.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Recently, an Open-AR-Sandbox software was published by researchers at the Institute for Computational Geoscience and Reservoir Engineering (CGRE), RWTH Aachen University, Germany. With this AR Sandbox, geological models can be projected onto real sand and the relations of subsurface structures, topography and outcrop can be explored in an AR environment.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We tested the Open-AR-Sandbox software after successfully installing and running a conventional AR sandbox software. The combination of the Sandbox and GemPy geomodelling tool offers unique 3D interactive modelling solutions to explore geoscientific data and processes, with linkages to other software tools. We can use the AR sandbox to project a variety of geophysical measurement data onto the sand surface, offering an interactive experience that integrates geological and geophysical data. The Open-AR-Sandbox is, therefore, an innovative tool in geoscience education for the public as well as the classroom because of its benefits for teaching geological mapping, structural geology and geophysics.&amp;lt;/p&amp;gt;
Structural and logical circuits in learning activities under conditions of education digitalization

Abstract The digitalization of the educational system is more aimed at developing an independent, responsible and creative person. The more knowledge a student receives independently and actively engaged in self-education, the more he needs help, both practical and definite. Digitalization of the educational process requires a special approach to its development, redefining the role of the professor, searching for new possibilities of interaction between all participants, adaptation of existing or development of new methods and means of knowledge transfer and their control. One of the didactic methods of activating the cognitive abilities of students, which include thinking, memorizing, perceiving, imagining and presenting are structural and logical schemes. Their application in educational activities solves several tasks: the meaningful acquisition of new knowledge and increase the intellectual and creative potential of students, the study and use of services, programs or mobile applications to structure information and transform it into clear logical schemes for memory and playback. This article discusses the peculiarities of applying structural and logical schemes at different stages of the educational process in the conditions of education digitalization.
Advanced Data Storage Security System for Public Cloud

Cloud is a collective term for a large number of developments and possibilities. Various data can be stored by the large amount of people onto the cloud storage facility without any bound of limitations as it provides tremendous space. Open systems like Android (Google Apps) still face many day- to-day security threats or attacks. With recent demand, cloud computing has raised security concerns for both service providers and consumers. Major issues like data transfer over wireless network across the globe have to be protected from unauthorized usage over the cloud as altered data can lead to great loss. In this regard, data auditing along with integrity, dynamic capabilities, and privacy preserving, and plays as an important role for preventing data from various cloud attacks which is considered in this work. The work also includes efficient auditor which plays a crucial role in securing the cloud environment. This paper presents a review on the cloud computing concepts and security issues inherent within the context of cloud computing and cloud infrastructure.
LP Formulations of Two-Player Zero-Sum Stochastic Bayesian Finite Horizon Games

This paper studies two-player zero-sum stochastic Bayesian games where eachplayer has its own dynamic state that is unknown to the other player. Usingtypical techniques, we provide the recursive formulas and the sufficientstatistics in both the primal game and its dual games. It's also shown thatwith a specific initial parameter, the optimal strategy of one player in a dualgame is also the optimal strategy of the player in the primal game. We, then,construct linear programs to compute the optimal strategies in both the primalgame and the dual games and the special initial parameters in the dual games.The main results are demonstrated in a security problem of underwater sensornetworks.
Televoting System Using VSAT

This paper deals with televoting system that faciliates user to vote in different language. Voting in rural areas is made possible through televoting. The voting system is computerised voting using biometric or aadhar card. The data will be sent directly through VSAT to the main voting centre where all votes will be counted. Due to this we will get instant result and the data will be much secure. Different voting centres will be connected using mesh analysis due to which the system becomes more effective and reliable.