Reviewerly/exHarmony huggingface dataset:
Multi-instance Reservoir Sampling and Selection for Online Continual Detection over VHR Remote Sensing Images

Convolutional neural networks (CNNs) have shown outstanding performance in object detection over very-high-resolution (VHR) remote sensing images. However, the regular offline learning mode suffers from catastrophic forgetting problems and performs poorly on the non-stationary and never-ending data. To address this issue, a multi-instance reservoir sampling and selection method (MIRSS) is proposed for the continual detection on continuously generated remote sensing images. A multi-instance reservoir sampling module is used to build a size-fixed buffer and stores the previously learned samples for memory consolidation. Meanwhile, the situation that several objects may exist in each class of an image is focused. Moreover, samples in the buffer are selected with the reservoir selection module for retraining detectors. The experimental results based on three publicly available VHR satellite images, including images from the NWPU VHR-10, RSOD and DOTA data sets, highlight the effectiveness and practicality of the method.
Deterrence of Piracy Employing IR Transmitter and Steganography System

Moving picture entertainment is a foremost source of amusement for populace in today’s existence. To entertain populace a lot of investment is put into film production by the film makers. Their endeavour is being ruined by few people by pirate the movies substance. They do it by capture the video recording in mobile phone camera and upload it to websites or put up for sale it to people which cause huge loss. In this research work we are proposea novel technique for reduction of film piracy by avoiding fake video recordings of video in theatres. An indistinguishable luminosity is projected from the display to the whole spectators that falls on the camera lens which is sensitive to infrared light rays Makes the recorded video unfit to watch. A method is developed for anti-piracy system for film industry using steganography technique in MATLAB.
Ways to Improve the Assimilating Efficiency of the Graphic Editors’ Functionality (On the Materials of the Training Course on the Discipline "Computer Technologies in Design")

The purpose of this research is to systematize and present the acquired in the process of personal teaching effective teaching methods and techniques, as well as meaningful conclusions in the context of the course “Computer Technology in Design” for its optimization. Research methodology. The research is based, first of all, on the author’s remarks and observations on the peculiarities of mastering by students of the speciality “Graphic Design and Advertising” of the Kyiv National University of Culture and Arts the functionality of graphic editors. That is, among the scientific methods in the preparation of the article were used methods of observation, experiment, comparison, classification, systematization, scientific analysis. Scientific novelty. The study has found that the current model of teaching computer science to designers focused on the study of graphic editors needs to be improved and updated in the context of current trends in computer design. Therefore, taking into account the existing shortcomings, it was proposed to optimize the training approach in four main positions:&#x0D; &#x0D; study of digital art terminology;&#x0D; working out of technical receptions;&#x0D; combination of basic artistic principles with program functionality;&#x0D; education of analytical qualities in students (graphic image analysis).&#x0D; &#x0D; Thus, all volume of the tasks directed on working off of technical receptions in combination with basic art bases is classified into three categories according to their maintenance:&#x0D; &#x0D; algorithmic tasks (the result is predicted);&#x0D; creative tasks (the result is variable, unpredictable);&#x0D; combined tasks (the result is variable).&#x0D; &#x0D; The practical block of tasks for studying graphic editors Adobe Photoshop and Adobe Illustrator for 1–2 years students, successfully tested during the educational process during 2018–2021, is reflected in the table, and the relevant analytical conclusions are presented in the form of infographics. Conclusions. As it was proved in the course of the research, it is the accumulated teaching experience in the context of theoretical substantiation that can experimentally help to determine a quality educational model. As a result, it was possible to systematize the effective teaching methods and techniques acquired during personal teaching, to present a successfully tested set of tasks, as well as to formulate theses on optimizing the educational model in the context of the “Computer Technology in Design” course.
THE ESSENCE AND STRUCTURE OF EDUCATIONAL ENVIRONMENT IN THE CONTEXT OF THE FORMATION OF PARTNERSHIPS OF ADOLESCENTS

The successful formation of partnerships of adolescents is conditioned by certain factors and elements of educational environment, contributing to the formation of motivational-value, cognitive and operational-activity components of personality development of children of this age category. The peculiarities of the influence of this environment have a certain specificity associated with the conditions of formation of its structural components. Due to the action of these elements of the educational environment, certain age characteristics of adolescents are formed, which are necessary to ensure the effective principles of partnership, which will affect personal development and further development of academic achievement. Taking into account the importance of considering the theoretical aspects of determining the characteristics of the educational environment of adolescents, which determines the formation of their partnership, the study of this issue is considered relevant and will ensure the development of scientific thought. The purpose of the article is to systematize the approaches to defining the essence of the concept and structure of the educational environment of adolescents as a sphere of development of their partnership. Research methods applied: a systematic approach, which is used to systematize the provisions of scientific views related to the evaluated issues; comparative method used to compare the approaches of scientists. The study presents a systematization of approaches to defining the essence of the concept and structure of the educational environment of adolescents, which contributes to the development of their partnerships. It is proved that the main essential features of the concept of educational environment of adolescents, which contributes to the development of their partnerships include: structural feature (in the interpretations of the authors, mainly determined by reference to certain components of this phenomenon), performance feature (emphasis on areas of influence - behavior, development of value beliefs, etc.), organizational feature (indication that the subjects of the environment provide active assistance in the development of certain skills, qualities of adolescents), subject-oriented feature, which involves the formation and development of the educational environment of adolescents in the context of subject-subject direction (humanistic approach ). The composition of the conditions for the formation of this phenomenon is determined, which include general categories, in particular: objective, specially (artificially) created, static, dynamic. The interpretation of the studied concept is formulated, which is based on taking into account the list of basic essential features and categories of conditions of formation of the educational environment, which promotes the development of their partnership.
Remembering Pokémania: Memory, Cognitive Assemblages, and Augmented Reality

Introduced in July 2016, Pokémon GO is widely considered the killer app for contemporary augmented reality. Popular attention to the game has waned in recent years, but Pokémon GO remains enormously successful in terms of both player base and revenue generation. Whether individuals experienced the game for a short time or remain dedicated hardcore players, Pokémon GO exists as memories of time and place, imbuing familiar sites and routes with new meaning and temporal connection. Attending to these complex interrelationships of place, space, mobility, humans, technologies, infrastructures, environments, and memory, we situate Pokémon GO as what Hayles (2016) calls a cognitive assemblage—sociotechnical systems of interconnectivity in which cognition is an exteriorized process occurring across multiple levels, sites, and boundaries. In turn, we conceptualize cognition (and specifically memory) not as confined within a delimited hominid body, but instead operating through contextual relations, at multiple sites, and in a constant state of becoming. By reflecting on our own experiences as part of the distributed memory of Pokémon GO, we situate memory as momentary convergence of signals made possible by infrastructures, inscribed on servers and silicon, and made part of algorithmic suggestion and learning AI. Additionally, our own memories and experiences serve to highlight the experiential complexity of cognitive assemblages in relation to structures of feeling, as well as new temporal and spatial relations.
Perbaikan Bacaan Alquran melalui Kegiatan Tahsin al-Qiraah

Aceh Tamiang is an area with a majority Muslim population, not even one in Adil Makmur Village, Tenggulun, which is the location for this activity to find other places of worship besides mosques and prayer rooms. However, there is a decline in the quality of reading and writing the Koran in today's young generation compared to previous generations. This is due to the lack of parental attention to the quality of children's reading of the Koran, because they have fully surrendered this role to existing Koranic educational institutions. While in the previous generation, most parents were very disciplined for matters related to religious knowledge, especially reading and writing the Koran. The implementation of this Action Research aims to improve the literacy and writing skills of the young generation of the Koran in Adil Makmur Village, Tenggulun, Aceh Tamiang by empowering STAI As-sunnah students for Tahsin al-Qiraah activities. The method used is Participatory Action Research. By doing 3 stages: Planning-Action-Evaluation. The result of this activity: increased public enthusiasm for the importance of the younger generation having the ability to read and write the Koran in Adil Makmur Village, Tenggulun, Aceh Tamiang. In addition, this activity has also succeeded in making the role of parents as the main guides for children re-enforced
Platformy e-booków w polskich bibliotekach akademickich – ocena funkcjonalności i dostępności

Electronic publications have consistently been part of the information landscape of Polish academic libraries, and many libraries have access to online ebook collections. These collections are available from computers connected to the university network and from home computers using remote access. These e-sources are a great alternative to expensive traditional publications. However, not all platforms guarantee full availability or a wide range of functionality for multi-level work with the texts. This article presents the results of the tests of 10 selected ebook platforms used in the academic world (e.g., IBUK Libra, Elsevier eBooks, NASBI, JSTOR Open Access Books) according to criteria like file formats, search and navigation, text-to-speech, and print/export options. The results of the authors’ analyses confront the results of analogical research on platforms used in American libraries.
Performance-efficient distributed transfer and transformation of big spatial histopathology datasets in the cloud

Abstract Whole Slide Image (WSI) datasets are giga-pixel resolution, unstructured histopathology datasets that consist of extremely big files (each can be as large as multiple GBs in compressed format). These datasets have utility in a wide range of diagnostic and investigative pathology applications. However, the datasets present unique challenges: The size of the files, propriety data formats, and lack of efficient parallel data access libraries limit the scalability of these applications. Commercial clouds provide dynamic, cost-effective, scalable infrastructure to process these datasets, however, we lack the tools and algorithms that will transfer/transform them onto the cloud seamlessly, providing faster speeds and scalable formats. In this study, we present novel algorithms that transfer these datasets onto the cloud while at the same time transforming them into symmetric scalable formats. Our algorithms use intelligent file size distribution, and pipelining transfer and transformation tasks without introducing extra overhead to the underlying system. The algorithms, tested in the Amazon Web Services (AWS) cloud, outperform the widely used transfer tools and algorithms, and also outperform our previous work. The data access to the transformed datasets provides better performance compared to the related work. The transformed symmetric datasets are fed into three different analytics applications: a distributed implementation of a content-based image retrieval (CBIR) application for prostate carcinoma datasets, a deep convolutional neural network application for classification of breast cancer datasets, and to show that the algorithms can work with any spatial dataset, a Canny Edge Detection application on satellite image datasets. Although different in nature, all of the applications can easily work with our new symmetric data format and performance results show near-linear speed-ups as the number of processors increases.
Hyperplane-based time-aware knowledge graph embedding for temporal knowledge graph completion

Knowledge Graph (KG) embedding approaches have been proved effective to infer new facts for a KG based on the existing ones–a problem known as KG completion. However, most of them have focused on static KGs, in fact, relational facts in KGs often show temporal dynamics, e.g., the fact (US, has president, Barack Obama, [2009–2017]) is only valid from 2009 to 2017. Therefore, utilizing available time information to develop temporal KG embedding models is an increasingly important problem. In this paper, we propose a new hyperplane-based time-aware KG embedding model for temporal KG completion. By employing the method of time-specific hyperplanes, our model could explicitly incorporate time information in the entity-relation space to predict missing elements in the KG more effectively, especially temporal scopes for facts with missing time information. Moreover, in order to model and infer four important relation patterns including symmetry, antisymmetry, inversion and composition, we map facts happened at the same time into a polar coordinate system. During training procedure, a time-enhanced negative sampling strategy is proposed to get more effective negative samples. Experimental results on datasets extracted from real-world temporal KGs show that our model significantly outperforms existing state-of-the-art approaches for the KG completion task.
Graphical Interface for the Recommendation System

Today, mathematics plays a huge part of our everyday life. But due to the poor school education and lack of open access resources, many students find it difficult to be fully prepared for the independent external evaluation in mathematics, especially geometry. Although much has already been done to conduct higher knowledge results, lots of students still have gaps in understanding simple problem solving. Clearly, geometry requires a more fundamental and visual implementation to the studying process than algebra in order to increase the overall knowledge level of Ukrainian applicants for higher education. Students often do not have access to innovative studying instruments in their schools necessary for successful completion of geometry classes, which is why they receive weak results in tests.In the research, we are concentrating on the planimetry problems, because they can be easily produced in a written form. After analyzing all types of describing a problem, the best option for the system is the open-type problems with the short answer.The article concentrates on creating a graphical interface module, implementing it to the existing language processing module, and introducing a recommendation system that demonstrates a new fundamental instrument that can change the learning technique and give a comprehensive way of explaining geometry problems.The created system receives an open-type planimetry problem in Ukrainian language, processes it using the NLP module, and transfers the data directly to the interface module, which creates an image of the problem. Then the student can try to draw all the required figures, while the system continuously checks the progress. Recommendations (hints) can be applied during the process by the system.Interface and the NLP modules were created separately, independently, and using different programming languages. For that purpose, we use an intermediate stage – JSON file, which is used to transfer the processed information.
Corrigendum: A Socially Adaptable Framework for Human-Robot Interaction

[This corrects the article DOI: 10.3389/frobt.2020.00121.].
A Robust Mechanism for Categorizing Context-Aware Applications into Generations

The hunt to categorize context-aware applications has been a prevalent issue to developers of context-aware applications. The previous categorizations were based on the functions of the applications. These mechanisms yielded limited results since many applications could not be categorized. This paper categorizes applications into four generations based on developmental trends through a literature survey. The first generation applications focused on data acquisition and used hardware sensors. The second generation applications focused on knowledge acquisition and used software sensors, semantic language and ontology-based modelling languages. The third generation applications focused on intelligent reasoning and used mechanisms to handle information uncertainty. The fourth generation applications deprecate cumbersome ruleset implementations and focus on artificial intelligence whilst taking into consideration the effect of the dynamics of users’ background and preference on contextual information. The study demonstrated that when applications, methods or technologies can be categorized over some time, it is better to classify them into generations.
Computer Forensics Teaching For Undergraduate Students

Computer forensics is not only important for the security professionals in the forensics field, it also can help the information technology professionals working in the network administration, system management and other related fields. Our department has a computer forensics course offered for the undergraduate students to prepare them to be successful in their future career. In this paper, we introduce our forensics course design, especially, we explain our course hands-on activities, which include the labs and the projects for practicing the computer forensics related programming and the existing tools using.
Research on advanced technologies – design and development of cloud computing model

This article is a bibliographic review and focuses on a brief introduction to Cloud Computing as an innovative educational tool. Cloud technology is rapidly spreading in educational institutions, sometimes replacing the in-house infrastructure with cloud services. Education plays an important role in a country’s economy and today, the educational model in many countries has evolved with technology. Schools and universities in the world extensively use cloud Based Technology. Digital teaching – E-Learning and cloud-based technology are the latest models that have been widely adopted in the educational field. The identified trends in the use of cloud computing in education are clear, ranging from the design of cloud-oriented learning environments for future information technology specialists to the training of information technology specialists to enable them to obtain competencies in the use of cloud technologies. Cloud computing is a distributed computing paradigm, where, instead of acquiring information technology products, users access shared resources under various service models through a network, usually the Internet. The application of cloud computing is very broad and growing daily because of many advantages to the users, and is driven by the increasing use of various mobile devices (laptops, tablets and smartphones) and mobile Internet access being more available. The perspectives of its integration in the learning process are highlighted, as well as the factors that make its implementation difficult. Finally, some general conclusions presented on how technologies should be adopted to meet the educational needs of this new global challenge and some suggestions are made for more effective training through the Cloud Computing, as the need for further research emerges
E-Report System to Help Monitor Student Academic Progress Using Forward Chaining for Grade Promotion According to Student Development Level

The COVID-19 pandemic that has occurred in the world and Indonesia is one of the affected countries. To limit the rate of transmission of COVID-19, the Ministry of Education issued regulations relating to online schools. With this online school, both parents and teachers need media to be able to monitor students' academic progress as long as online schools are implemented. Therefore, we need a system that can assist teachers and parents in monitoring students' academic progress. In this study, an e-report was designed by incorporating the components of students' academic aspect and students' character aspect. This system is supported by a decision support system using forward chaining to determine the feasibility of a grade increase according to the level of development of the student. The output of this system is student grade reports, advice given to parents and grade promotion decisions based on academic and character aspect.
Maximizing Opportunities for User-Centered Design in Acute-Care: Introducing the Focal Wall

Digital health is a promising development in the pursuit of patient centered care. Technological developments, like patient portals, are providing new opportunities for patients to engage in their own healthcare journeys, increasing access to health data and practitioners in many cases. The primary objective of this research is the establishment of an in-patient portal for a new children's hospital through a collaborative design process. This paper details experiences from the first phase of this multi-year project and in particular methodological solutions that have been developed in order to meet the challenges of engaging acute care patients, families, and practitioners in user-centered design within such a demanding context.