Reviewerly/exHarmony huggingface dataset:
Cooperation for developing digital competence in preschool – Challenges for teacher education – students – practicum preschools

The article focuses on preschool teacher education in Sweden. The purpose of the study is to explore and analyse opportunities for and impediments to cooperation around digital competence among three groups: preschool teacher students, local teacher educators, and teacher educators at a university. The study presented in the article is performed through focus group discussions. It has proceeded analytically from the design theory concept agency. The results show the three groups diverse statements. The informants agree primarily about the status of preschools in terms of the supply and use of digital resources. The greatest difference emerges about the cultural resources—if, how, and why the digital resources are used. Despite the negative experiences of the students, the discussions reveal a concrete desire for cooperation in all three focus groups, emphasizing the importance of using preschool teachers as a resource for development of digital competence.
AssistMe: Using policy iteration to improve shared control of a non-holonomic vehicle

An assist-as-needed semi-autonomous control algorithm is designed to address the problem of safely driving a vehicle (a power wheelchair) in an environment with static obstacles. The main idea is to maximize the human driver’s control experience while allowing them to navigate safely (the inputs do not lead to collisions). The proposed physically-inspired model-based obstacle avoidance algorithm relies on optimal maps of the expected time for executing a safe stop manoeuvre. These maps are pre-computed using policy iteration in the case of an experienced driver stochastic model. As the burden of complex calculations is handled offline, the online implementation of the algorithm requires little computing resources. Its efficiency is tested experimentally in a study with healthy participants: a statistically significant result confirmed that the proposed algorithm outperforms a baseline rule-based control. A discussion with pros and cons ends this paper.
Role of medical image encryption algorithms in cloud platform for teleradiology applications

Teleradiology gains prominence in the current COVID-19 scenario for the storage and transfer of medical images through cloud platforms. Medical images in DICOM format are analyzed by physicians for disease diagnosis and treatment planning. The private cloud offers secured data storage and transfer, however, to ensure more proficiency in data security, encryption algorithms are used. Chaos-based encryption algorithms play a vital role and recently hybrid chaotic approaches are popular, all chaotic techniques comprise the confusion and diffusion phase. Chaos is a dynamic system and the underlying principle of chaos-based encryption is that it produces a sequence of numbers having random characteristics. This chapter focuses on the following; role of cloud platforms in telemedicine need for encryption in medical image processing, widely used cryptographic algorithms, comparative analysis of chaos-based existing encryption methods. The performance validation of algorithms is vital to estimate their efficiency; hence, the metrics used for the validation of medical image encryption are also discussed in this work.
Mixed Reality: Evaluation of the User Experience to Improve the Interpretation of the Archaeological Heritage

This article shows the use of mixed reality (MR) as a useful resource to improve the interpretation of archaeological heritage. It aims to contribute to the solution of understanding problems that frequently affect visitors to archaeological sites. It is developed with the user experience (UX) of visitors as its main axis, and user experience design (UXD) has been used as a methodology, an iterative process of continuous innovation that has resulted in an interpretive product consisting of an interactive application for smartphones and a viewer. To evaluate the UX, the technology acceptance model (TAM) and the principles of usability were used. It is about arousing positive emotions for improving the visitors’ experience to ease understanding of how buildings were put up and how daily life was like in such places and, consequently, obtaining a better interpretation and greater respect towards heritage.
An Expert System to Aid Classification and Referencing Work in Libraries

An Expert System has been designed and implemented on a PC/XT to aid classification and referencing work in libraries. The system has been implemented in Turbo Prolog and the rule-based approach is used. Also, the system uses a database for driving the inference engine to the goal. As such any classification scheme can be adopted to help the librarians in indepth classification of books. A system with appropriate classification procedures is being implemented as a set of rules to drive the scheme faster to the goal. Also the system can be used to help the users by prompts and the answers guiding through authorwise and subject wise referencing work.The system is fully menu driven and prompts to elicit the answers. The subject and branches within the subject are displayed and user is guided to select anyone of them by placing the cursor over the choice.
Introduction to Special Issue on Visualization Applied to Software Engineering

Software visualization is a broad research area whose general goal is to enhance and promote the theory, realization, and evaluation of approaches to visually encode and analyze software systems, including software development practices, evolution, structure, and software runtime behavior. Software visualization is inherently interdisciplinary, drawing on theories and techniques from information visualization and computer graphics and applying these in the software engineering domain. This special issue on software visualization aims to bring together a community of researchers from software engineering, information visualization, computer graphics, human-computer interaction, and data science to discuss theoretical foundations, algorithms, techniques, tools, and applications related to software visualization. The special issue received 17 submissions of which 6 were accepted for publication (i.e., acceptance rate of 35.3%). Amongst the accepted papers, three correspond to extended versions of papers published in the IEEE Working Conference on Software Visualization (VISSOFT) 2021.
What is Governance of Blockchains? A Comparison of Theoretical and Empirical Findings on a Taxonomy-Level

Blockchain is an emerging technology with the potential to disrupt and enable collaboration in ecosystem structures that are difficult if not impossible to achieve otherwise. An important aspect of collaboration in blockchain ecosystems is governance. Proper governance also ensures sustainable growth of a blockchain solution. The current body of knowledge features a growing number of contributions on this topic. This is promising as it allows for a meta-view of what entails governance, which has been done with some lenses, usually with an empirical one. This study focuses on comparing the empirical approach with the theoretical approach by looking at existing dimensions and characteristics that define blockchain governance, using an SLR. This resulted in identifying 11/18 dimensions and 18/42 underlying characteristics that were not identified in literature, 3 new and 14/18 overlapping dimensions and 26/42 underlying characteristics. The newly identified dimensions include (1) Incentives, (2) Trust, and (3) Smart Contracts. Future research should focus to extend on the blockchain governance taxonomies so that they can be operationalized. This helps better understanding of what entails blockchain governance from a conceptual level but will also aid blockchain professionals to design their blockchain governance in a sustainable way, taking into account all stakeholders.
Catch a Word Keypad Application as a Solution to Reduce the Rudeness of Digital Communication

The development of technology and information is happening quite swiftly. In fact, the term “information society” is employed, implying that the community's main goal is the communication of knowledge. Technology comes in numerous forms, including computers, mobile devices, and the internet. Mobile phones may be used by anyone to access the internet, making the marriage of the two technologies particularly suited. Although using social media has numerous benefits, cyberbullying is regrettably on the rise, particularly in Indonesia. Cyberbullying can be fatal and have a negative impact on a victim's social life, academic progress, physical health, and mental well-being. The author wants to provide a solution to the aforementioned problems by creating a keyboard or keypad application for all Indonesians, but especially for those who use social media. One can install this Catch a Word program on mobile devices like smartphones, tablets, and iPads. The author thinks that this revitalization can significantly affect Indonesians, particularly Indonesian youth.
A Modern mechanism for Generating 3DES Algorithm Keys Based on Rubik's Cube

Encryption makes a message incomprehensible to the reader and difficult for unauthorized individuals to access. One of the most serious issues we face is the key, which plays a crucial role in secure communication and is critical to the encryption process. To enhance the level of security, the key of any algorithm must be vital, and the secret key used must be a copy of it at both the sending and receiving ends. This type of encryption is known as symmetric encryption and must be secure. In this paper, the key of one of the symmetric encryption techniques, the 3DES Algorithm, will be reconfigured to make the algorithm more secure, faster, and more robust. The results obtained from this paper also have good resistance against brute force attacks, which makes the system more efficient by applying the improved algorithm where the message is encrypted and decrypted faster, making the attacker difficult to hack the encrypted message. The proposed method has been programmed in VisualBaic.Net 2015.
A unified representation and retrieval of 3D grain configuration based on signed distance field

In this article, the design and development of a 3D grain configuration representation method with small data and high accuracy are presented, by which a unified grain database is established. There are two vital components in our proposed method: the traditional signed distance field (SDF) method is used for the unified representation of the 3D grain configuration; the proper generalized decomposition is employed to decompose the original SDF function to compress the data. With the proposed method, the reconstruction of 3D grain configuration is realized with small data and high accuracy, based on which the similarity measurement of different grains is proposed and the reuse of the 3D grain configurations is realized. The efficacy and accuracy of the proposed method are validated by reconstructing 3D grain configurations and the burnback curves of two different grain models. The similarities of the eight grains are calculated, which are accurately consistent with the burning surface area calculations results. The experiment results demonstrate that the proposed methods are feasible and efficient, and are significant for design case data and knowledge reuse.
Fusion Tree Network for RGBT Tracking

RGBT tracking is often affected by complex scenes (i.e., occlusions, scale changes, noisy background, etc). Existing works usually adopt a single-strategy RGBT tracking fusion scheme to handle modality fusion in all scenarios. However, due to the limitation of fusion model capacity, it is difficult to fully integrate the discriminative features between different modalities. To tackle this problem, we propose a Fusion Tree Network (FTNet), which provides a multi-strategy fusion model with high capacity to efficiently fuse different modalities. Specifically, we combine three kinds of attention modules (i.e., channel attention, spatial attention, and location attention) in a tree structure to achieve multi-path hybrid attention in the deeper convolutional stages of the object tracking network. Extensive experiments are performed on three RGBT tracking datasets, and the results show that our method achieves superior performance among state-of-the-art RGBT tracking models.
Time Series

A time series is a series of data points arranged chronologically. Most commonly, the time points are equally spaced. A few examples are the passenger loads of an airline recorded each month for the past two years or the price of an instrument in the share market recorded each day for the last year. The primary aim of time-series analysis is to predict the future value of a parameter based on its past data.
Feature Engineering and Supervised Learning

Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence and will help us solve for a variety of real-world problems with our model. In this chapter, I will introduce the following three essential components of supervised machine learning (clustering is covered in the following chapter on unsupervised leaning), along with feature engineering, which is essential to get accurate information for the model:
Meta-learning-based lightweight learning framework for healthcare recommendation system

The recommendation system provided effective results in various industries. Despite the notable results, the recommendation system in healthcare had significant difficulties in collecting, utilizing, and analyzing data due to privacy laws. As improvements in the Data 3 Act have expanded the scope of data utilization, the need for a framework that is easy to leverage and learn has increased. Our model collects data in a variety of IOT environments and utilizes meta-learning to solve cold start problems and provides a way to quickly converge on various recommended system models.
Non‐local neural networks combined with local importance‐based pooling for space‐time video super‐resolution

Compared with convolutional operation, non-local operation can directly capture long-range dependencies and thus has a larger receptive field. However, the computation and memory consumption of non-local operation is much higher than convolutional operation, so it cannot be used repeatedly as a general component directly. In this paper, in order to balance the accuracy and computational complexity of non-local enhancement, the non-local operation is simplified based on local importance-based pooling, which can dynamically extract discriminative features during the down-sampling process by learning adaptive weights. Such simplified non-local enhancement is able to prevent unacceptable computational consumption caused by directly processing the entire feature maps containing a large number of features. In order to verify the effectiveness of the proposed method, 2D and 3D feature extraction blocks are constructed based on the simplified non-local operations, and they are stacked as feature extraction networks for space-time video super-resolution task, which aims to increase resolution in both time and space simultaneously. Extensive experiments demonstrate that the proposed simplified non-local networks can effectively improve the performance of space-time video super-resolution task both quantitatively and qualitatively.
Vulnerability Risk Score Recalculation for the Devices in Critical Infrastructure

As long as the IT technologies are adapted to various OT areas such as nuclear power plants, the threats of cyber attacks against critical infrastructures are becoming reality. Since the attack against critical infrastructure can cause a very large social and economic disaster, it is necessary to establish a proactive defense system before an attack occurs. For that, it is very important to be aware of the threats. So, in this paper, we propose a risk score recalculation method for the related vulnerabilities of digital devices operated in the I&C systems in nuclear power plants. The actual risk score of the identified vulnerabilities is derived by reflecting the characteristics of the operating environment of the devices. The results of the method will be shown at the end of this paper.
MANIFESTATIONS OF SOCIAL EXCLUSION OF STUDENTS: SCIENTIFIC AND PRACTICAL ASPECTS AND EVALUATION OF THE EFFECTIVENESS OF THE TEACHING STAFF

MANIFESTATIONS OF SOCIAL EXCLUSION OF STUDENTS: SCIENTIFIC AND PRACTICAL ASPECTS AND EVALUATION OF THE EFFECTIVENESS OF THE TEACHING STAFF
PROVIDING TODAY’S STUDENTS WITH THE SKILLS THEY WILL NEED FOR TOMORROW’S TECHNOLOGY

Appears in: ICERI2022 Proceedings Publication year: 2022Page: 7913 (abstract only)ISBN: 978-84-09-45476-1ISSN: 2340-1095doi: 10.21125/iceri.2022.2028Conference name: 15th annual International Conference of Education, Research and InnovationDates: 7-9 November, 2022Location: Seville, Spain
USING INSTAGRAM TO INCREASE UNIVERSITY EDUCATIONAL SKILLS. THE PROFESSORS’ POINT OF VIEW

M.L. OjedaS. ArguellesA. MateM.L. Carrascal-MorenoM.D. Vázquez-CarreteroP. García-MirandaF. NogalesC.M. VázquezP.A. Nuñez-AbadesM.L. CalongeM.J. PeralM.M. CanoO. CarrerasA. Santana-Garrido
The Influence of the Use of E-Books on Students Achievement in the Department of Physics Education USK

The effect of the use of e-books by students on their learning achievement is focused on the problem of this research study. This study aimed to study the effect of the parameters of the use of e-books as part of the independent variable on student GPA achievement as one of the learning outcomes. The research results are used to improve the quality of the following lecture process. This research is descriptive type; data obtained without any treatment. The population is students from the Department of Physics Education FKIP USK Letting 2018, 2019, and 2020, total 94 students. Only 45 students responded correctly to the questionnaire in the interview process, and all of them were used as samples. Data is the state of use of e-books by students obtained through interviews using written questionnaires and student GPA scores obtained from the documentation. Non-parametric statistics were used to analyze the data. The analysis results obtained four conditions for students’ use of e-books: low, medium, high, and very high. In the results of the Kruskal Wallis test on student GPAs, it was found that there was no significant difference in student GPAs between the four groups. It was concluded that using e-books had no significant effect on student achievement in the Department of Physics Education FKIP USK.
Data and Location Privacy of Smart Devices over Vehicular Cloud Computing

In this paper, we have addressed the problem of data and location privacy in smart devices over vehicular cloud computing (VCC). We proposed a framework to identify and register the smart IoT GPS devices over VCC service and allow the users to monitor their devices in real time. The proposed framework divides into three parts: First, data anonymization of users' information over VCC, by masking the original data of the user and replaced with fake data. The proposed technique will remove the user identity and other linkers to identify the users. Second, proposed a technique using asymmetric cryptography (RSA) technique, the proposed technique provides location privacy of users' trajectories before requesting point of interest (POI) from location-based services (LBS). Third, secure communication between users and the VCC, based on Token-based authentication by authenticating the trusted users while requesting a location from the VCC service. The proposed framework shows the efficiency and reliability of responding to user trajectories from different sources of IoT GPS devices and datasets.
A Waveform Dataset in Continuous Mode of the Montefeltro Seismic Network (MF) in Central-Northern Italy from 2018 to 2020

The Montefeltro seismic network (FDSN Network code: 1S) was deployed in the Apennines area of northern Marche and southern Emilia-Romagna regions (central Italy). A temporary network was set up in December 2018 and continues to operate, with an array consisting of stations equipped with dynamic digitizers and three-component short/extended/broad band seismometers (Guralp CMG/20s and 30s, Lennartz 3D/5s, Sara SS20 3D/0.5s sensors). The network records in continuous mode at 100 sps. The data are used to analyze the seismic activity and the spatiotemporal evolution of small seismic sequences occurring in the considered area and surrounding zones, strongly clustered in time and space. The data of dataset files are mini-seed formatted and subdivided by the following tree: (1) the dataset is divided by years; (2) the dataset is then subdivided by stations; (3) finally, the data are divided by days of each year in every station folder.
Problemo de tempo en verkoj de Jacob van Eyck bazitaj sur melodioj de profanaj kantoj. Studo de ekzemploj (ESPERANTO)

Der Fluyten Lust-hof by Jacob van Eyck (circa 1590-1657) is the largest collection of works for a solo instrument in the history of European music, which documents both the variety of techniques of early Baroque ornamentation and presents the vast repertoire of popular and folk songs of that time. It was that type of compositions that the blind recorder player also known as the Orpheus of Utrecht used to choose as the basis for his famous, improvised instrumental arrangements, which were later dictated by him in order to be published. After van Eyck’s death, his compositions lost popularity and were soon forgotten, and the new wave of interest in the works included in Der Fluyten Lust-hof only emerged in the 1970s along with the development of the historical performance trend. At present, van Eyck’s musical activity is relatively well explored, which we primarily owe to the work of Ruth van Baak Griffioen and Thiemo Wind. Despite that, some problems remain unsolved. One of the particularly important issues is related to the nature of separate compositions and the pacing in which they could be rendered at that time, which is still a subject of disputes among both musicologists and recorder players. Using three compositions as an example, this article presents a method to reconstruct this aspect of musical practice coming from the analysis of notation patterns and the comparison of the van Eyck’s ornamentation style with earlier written down compositions on the basis of which he created his improvisations. This last standpoint made it possible to show that the diminutions created by van Eyck in many cases do not have a purely technical character, and in some of them one can find numerous musical phrases indicative of a deeper connection between the variations included in Der Fluyten Lust-hof and lyrics of original songs and the specificity of their melodies than previously thought.
Automated Vision-Based Wellness Analysis for Elderly Care Centers

The growth in the aging population require caregivers to improve both efficiency and quality of healthcare. In this study, we develop an automatic, vision-based system for monitoring and analyzing the physical and mental well-being of senior citizens. Through collaboration with Haven of Hope Christian Service, we collect video recording data in the care center with surveillance camera. We then process and extract personalized facial, activity, and interaction features from the video data using deep neural networks. This integrated health information systems can assist caregivers to gain better insights into the seniors they are taking care of. We report findings of our analysis and evaluate the system quantitatively to demonstrate the effectiveness.
Quantum computers: sensitive in their young days

Abstract Shrouded in myths, powerful and sensitive: Prof Jens Eisert, physicist at the Freie Universität Berlin, explains how quantum computers work and how far their development has progressed.