Reviewerly/exHarmony huggingface dataset:
A Wind Farm Equivalent Method Based on Multi-View Transfer Clustering and Stack Sparse Auto Encoder

Large-scale wind farm (WF) constitutes dozens or even hundreds of wind turbines (WTs), making it complex and even impractical to develop each individual WT in detail when building WF model. Thus, the equivalent model of WF, with a reasonable reduction of the detailed model, is essential to be developed. In this paper, we propose a multi-view transfer clustering and stack sparse auto encoder (SSAE) based WF equivalent method, which can be used in the low voltage ride through (LVRT) analysis of WF. First, to obtain distinguishable deep-level and multi-view representation of wind turbine (WT), stack sparse auto encoder (SSAE) is used to extract features from the time series of several WT physical quantities, and these features are used as the clustering indicator (CI). Then, a multi-view transfer FCM (MVT-FCM) clustering algorithm, which combines transfer learning with multi-view FCM (MV-FCM), is put forward for WTs clustering. Two transfer rules are designed in this algorithm, and the clustering center and membership degree in the source domain are transferred to guide the clustering process of target domain samples. Finally, the calculation method of equivalent parameters is presented. To verify the effectiveness of the proposed method, a modified actual system in East Inner Mongolia of China is utilized for case study, and the performance of the proposed model is compared with several state-of-the-art models. Simulation results show that the equivalent errors of the proposed model decrease at least 3% when comparing with other models. Also, the error fluctuations are within 6% under different simulation conditions, which illustrates the well-performed robustness of the proposed model.
ENERGY CONSUMPTION, INFORMATION AND COMMUNICATION TECHNOLOGY AND ECONOMIC GROWTH IN AN AFRICAN CONTEXT

The study had two main objectives. Firstly, to investigate the impact of ICT on economic growth. Secondly, to explore whether energy consumption and human capital development are channels through which ICT influences economic growth in Africa. Whilst literature is unanimous when it comes to the positive impact of ICT on economic growth, not much has been investigated on the impact of the complementarity between (1) ICT and energy consumption and (2) ICT and human capital development on economic growth, especially in the African context. The current study used fixed effects, random effects, pooled OLS and the dynamic GMM with annual panel data ranging from 2001 to 2015. Whilst fixed and random effects show a significant positive relationship running from ICT towards economic growth, pooled OLS and the dynamic GMM produced results which show that ICT had a non-significant positive influence on economic growth in Africa. The interaction between ICT and energy consumption had a significant negative effect on economic growth across all the panel data analysis methods. The finding means that ICT enhanced economic growth through its energy efficiency impact in Africa, consistent with Lee and Brahmasrene (2014). The interaction between ICT and human capital development was found to have had a significant positive effect on economic growth in Africa, in line with Ortiz et al. (2015) whose study revealed that the complementarity between ICT and education enhanced economic growth. The study therefore urges the African continent authorities to develop, strengthen and implement sound human capital development in order to enhance the impact of ICT on economic growth. African countries are also urged to implement sound ICT growth policies in order to trigger energy efficiency led economic growth. Keywords: ICT, Energy Consumption, Human Capital Development, Africa JEL Classifications: N7, Q4, E44, O55 DOI: https://doi.org/10.32479/ijeep.8118
Design of Identity-Based Blind Signature Scheme Upon Chaotic Maps

&lt;span&gt;Cryptosystems relying on chaotic maps have been presented lately. As a result of inferred and convenient connections amongst the attributes of conventional cryptosystems and chaotic frameworks, the concept of chaotic systems with applications to cryptography has earned much consideration from scientists working in the various domains. Hence, we suggest a novel IDentity-based Blind Signature (ID-BS) based technique in this paper that relies on a pair of hard number theoretic problems, namely, the Chaotic Maps (CM) and FACtoring (FAC) problems. The technique is immune to attacks, in addition to its efficiency in application. Relative to other related schemes, it requires fewer module operations. In summary, our proposed technique is superior to similar schemes within the cryptosystems domain.&lt;/span&gt;
An Effective Maximum Distortion Controlling Technology in the Dual-Image-Based Reversible Data Hiding Scheme

The dual-image information hiding method has received considerable research attention on account of its high hiding capacity and favorable stego-image quality. The dual-image hiding technology encodes secret data across two images, requiring both stego-images to recover the correct secret data. Many factors affect the embedding capacity and image quality of the dual-image hiding method, including the nature of the hidden data, the block size, and the method by which pixels are modified. This study analyzes and encodes secret data, while controlling the degree of pixel distortion using two parameters - NC and MXD to improve the image quality. The NC parameter controls how many codes are used to re-encode a secret symbol, which is used to control the number of code combinations. MXD specifies the maximum distortion of each code combination and is used to limit image distortion. To improve the effectiveness of the encoding, a pair of digital combinations was assigned according to the frequency of the secret numeric messages. A highly uniform secret message was encoded using a small distortion code. Subsequently, the code was concealed within the cover image, generating two stego-images. The experimental results indicate that the proposed method achieved not only a better embedding rate but also a greater image quality compared with previous methods. In particular, with regard to the smooth image, the image quality of the stego-image was higher than 64.27dB when the proposed scheme was applied. Furthermore, this study utilized many steganalytic technologies to validate the security of the proposed scheme.
Contextualisation of the Information Literacy Environment in the South African Education Sector

This study embarked on an in‑depth content analysis of the information literacy environment in the South African education sector. The review of literature encompasses a comprehensive critical analysis of available appropriate and contemporary literature, which further expounds the research problem. This research adopted the qualitative method of data collection; hence, policy documents, conference proceedings and journal articles about the subject matter were analytically evaluated to identify whether there is a research gap that may have remained unanswered in previous studies. The study emphasises various ICT tools and techniques that will promote e‑learning in South African educational sector; this was done in recognition of its essential role. South Africa struggles with challenges associated with the digital divide, a result of the inability of many to access ICT tools capable of enhancing their performance, particularly in a racially divided country such as South Africa, where a separate educational development policy was pursued during the apartheid era, in favour of the white minority. The trends in information literacy and essential issues regarding information literacy skills in South Africa are highlighted. The challenges associated with information literacy in South Africa are presented, and different opportunities in information literacy are also discussed. The paper concludes with the gaps and options in information literacy in South Africa. Finally, this paper offers a comprehensive review of the information literacy development in the South African education sector, which constitutes an essential perspective in the understanding of the global information literacy development
Communicative Competence in Training Future Language and Literature Teachers

The purpose of the paper is to present the empirical research on the components of communicative competence of future language and literature teachers during their studies at a higher education institution. The need for communication is considered as a basic one in the development of an individual as a social subject of behavior. The study substantiates that interaction with others, emotional and confidential communication is a factor of personality development, the means of improving communicative competence. The research methods: tests with standardized questionnaires and factor analysis. The study examines communicative competence as an element of professional training of future language and literature teachers. Factor analysis was used to determine the structure of communicative competence of future language and literature teachers. The following factor structure was established: (85.54%): F1 “ Communicative intolerance ” (4.069; 23.94%), F2 “ Communicative dominance ” (2.491; 14.65%), F3 “ Communicative anxiety ” (2.219; 13.05%), F4 “ Ethno-social compromise ” (2.119; 12.47%), F5 “ Communicative helplessness ” (1.822; 10.72%), F6 “ Need for communication ” (1.820; 10.71%). The research determines that in the structure of communicative competence of future language and literature teachers communicative tolerance reflects the need and content of communication and the willingness to communicate with others. The paper substantiates that a low level of communicative tolerance is an incentive for self-development in perceptive and interactive areas. It emphasizes that affiliation motivation is an important component of developing communicative tolerance at the stage of professional training at a higher education institution. The study shows that an individual’s need for affiliation during studies in a higher education institution is blocked by fear of rejection, causing different types of communicative intolerance.
Factors Influencing Players’ Susceptibility to Social Engineering in Social Gaming Networks

Social gaming networks have become a new phenomenon, especially for young people, who may become addicted to some extent.However, this phenomenon also increases their susceptibility to hacking, cyber-attack, and other types of security breaches.Various studies have found that current technology is inadequate in terms of online security.Thus, researchers have started to pay attention to the human aspect of security, which is based on interactions with strangers who may trick other gamers into revealing personal or financial information, that is, social engineering.There is little in the social gaming network literature to help players, researchers, and organizations to address the human aspect of online security, and thus there is a need to investigate the factors affecting this aspect of security.The current study aims to identify the factors influencing social engineering victimization in social gaming networks.The model developed in this study is based on the health belief model and cooperation and competition theory.The results show that the perceived severity of the threat, perceived barriers, perceived benefits, self-efficacy, competition, and cooperation are significant factors in the prediction of social engineering victimization.
Digital Transformation in Higher Education Institutions: Between Myth and Reality

Nowadays, there are several technological trends in the world which promote changes of focus in organizations. This fact, coupled with the globalisation of information and economies, leads to a transformation aimed at achieving greater organizational efficiency and leveraging available digital resources in order to shift organizational cultures towards incorporating and taking advantage of digital instruments and tools. Digital transformation is approached as a turning point that leverages new paradigms emerging in the digital world. It has led experts to rethink how an institution can remain competitive and visible while undergoing social transformation, maintaining its validity and staying sustainable over time. This process is important in technological development, which produces constant changes in order to attend to the needs of the social environment where it is occurring. Universities occupy an important place among the institutions facing digital transformation, as they should lead the cultural shift that it implies. The transition to new ways of executing critical mission processes and procedures in the institutions leveraging digital artefacts leads to the consideration of the design and definition of strategic organizational units dedicated to implementing meaningful and valuable technology solutions. However, this should also lead to the creation of a digital culture aligned with the dynamics of new technological ecosystems. Higher education institutions are no stranger to these challenges. Many are undergoing renewals and structural reviews of their administrative and academic processes. The improvements they make using new technologies stand to benefit both the university community and wider society, which are the central reasons for the existence of universities. In accordance with the above, higher education institutions should propose the following as a general objective: 'to foster a community attuned to innovation in the University, through a digital transformation, where the advancement of technology and emerging trends maximize collaboration, active learning, research and creation, in a way that encourages interdisciplinary critical thinking in order to help to the sustainable development of society'. It is not a myth but a reality that higher education institutions, like many other organizations, are being affected by several social and technological global trends towards digitalisation. The digital transformation process is potentially disruptive and needs further study due to its impact on their constitution. Therefore, the researchers suggest developing a complete research program around this phenomenon, in which new spaces for evaluation, reflection, redesign of processes and design of proposals can be created. Thus, culture of innovation, through a digital transformation, becomes an institutional way of life learned, shared and transmitted both by directive bodies, at both academic and administrative levels of the university.
EVALUATION OF E-LEARNING IMPLEMENTATION IN THE UNIVERSITY USING DELONE AND MCLEAN SUCCESS MODEL

The objectives of this study are to analyze lecturers' perceptions of the implementation of e-learning, evaluate the success of the implementation of e-learning, and analyze the factors that influence and lead to the successful implementation of e-learning in Faculty of ABC in XYZ University. This research used quantitative research. The population involved in this study was lecturers of the Faculty of ABC at XYZ University who implement e-learning. This study used Delone and McLean success model. Data analysis techniques used were descriptive and Structural Equation Modeling (SEM) SMART PLS 2.0. The sampling technique used was accidental sampling. This study involved 46 lecturers as the sample using Slovin's formula, with a significance level of 10%. Data were collected using questionnaires rated with a Likert scale. The results showed that lecturers' perceptions towards the implementation of e-learning were very good. The highest achievement in its application was found at the level of effectiveness and then followed by a semantic level and technical level. Factors that influence successful implementation of elearning include information quality, use, and user satisfaction with e-learning systems implemented.
A reversible database watermarking method non-redundancy shifting-based histogram gaps

In relational databases, embedding watermarks in integer data using traditional histogram shifting method has the problem of large data distortion. To solve this problem, a reversible database watermarking method without redundant shifting distortion is proposed, taking advantage of a large number of gaps in the integer histogram. This method embeds the watermark bit by bit on the basis of grouping. First, an integer data histogram is constructed with the absolute value of the prediction error of the data as a variable. Second, the positional relationship between each column and the gap in the histogram is analyzed to find out all the columns adjacent to the gap. Third, the highest column is selected as the embedded point. Finally, a watermark bit is embedded on the group by the histogram non-redundant shifting method. Experimental results show that compared with existing reversible database watermarking methods, such as genetic algorithm and histogram shift watermarking and histogram gap–based watermarking, the proposed method has no data distortion caused by the shifting redundant histogram columns after embedding watermarks on forest cover type data set and effectively reduces the data distortion rate after embedding watermarks.
Do code review measures explain the incidence of post-release defects?

In contrast to studies of defects found during code review, we aim to clarify whether code review measures can explain the prevalence of post-release defects. We replicate McIntosh et al.’s (Empirical Softw. Engg. 21(5): 2146–2189, 2016) study that uses additive regression to model the relationship between defects and code reviews. To increase external validity, we apply the same methodology on a new software project. We discuss our findings with the first author of the original study, McIntosh. We then investigate how to reduce the impact of correlated predictors in the variable selection process and how to increase understanding of the inter-relationships among the predictors by employing Bayesian Network (BN) models. As in the original study, we use the same measures authors obtained for Qt project in the original study. We mine data from version control and issue tracker of Google Chrome and operationalize measures that are close analogs to the large collection of code, process, and code review measures used in the replicated the study. Both the data from the original study and the Chrome data showed high instability of the influence of code review measures on defects with the results being highly sensitive to variable selection procedure. Models without code review predictors had as good or better fit than those with review predictors. Replication, however, confirms with the bulk of prior work showing that prior defects, module size, and authorship have the strongest relationship to post-release defects. The application of BN models helped explain the observed instability by demonstrating that the review-related predictors do not affect post-release defects directly and showed indirect effects. For example, changes that have no review discussion tend to be associated with files that have had many prior defects which in turn increase the number of post-release defects. We hope that similar analyses of other software engineering techniques may also yield a more nuanced view of their impact. Our replication package including our data and scripts is publicly available (Krutauz et al. 2020).
Analisis Kesulitan Belajar Membaca dan Menulis Permulaan PAUD Di Kelompok Bermain Fun Islamic School

Child learning difficulties are children who are disrupted in one o more basic psychological processes that include understanding and using spoken or written language. This study aims to describe the learning difficulties experienced by children aged 5-6 years in group playing FUN ISLAMIC SCHOOL Purworejo Yogyakarta. The method used is a qualitative research method with a case study approach. The data source consisted of 2 teachers in the group of children aged 5-6 years, and 4 children who had problems due to learning difficulties were the case subjects in this study. After data is collected, data is presented for inclusion. Reading difficulties in children aged 5-6 years are different, in the pocess of writing in class children have poor writing in learning activities in class. Based on the results of the study there are a number of suggestions that can be considered by related parties in an effort to overcome the learning difficulties of children.
On Constrained Open-World Probabilistic Databases

Increasing amounts of available data have led to a heightened need for representing large-scale probabilistic knowledge bases. One approach is to use a probabilistic database, a model with strong assumptions that allow for efficiently answering many interesting queries. Recent work on open-world probabilistic databases strengthens the semantics of these probabilistic databases by discarding the assumption that any information not present in the data must be false. While intuitive, these semantics are not sufficiently precise to give reasonable answers to queries. We propose overcoming these issues by using constraints to restrict this open world. We provide an algorithm for one class of queries, and establish a basic hardness result for another. Finally, we propose an efficient and tight approximation for a large class of queries.
Augmenting Printed School Atlases with Thematic 3D Maps

Digitalization in schools requires a rethinking of teaching materials and methods in all subjects. This upheaval also concerns traditional print media, like school atlases used in geography classes. In this work, we examine the cartographic technological feasibility of extending a printed school atlas with digital content by augmented reality (AR). While previous research rather focused on topographic three-dimensional (3D) maps, our prototypical application for Android tablets complements map sheets of the Swiss World Atlas with thematically related data. We follow a natural marker approach using the AR engine Vuforia and the game engine Unity. We compare two workflows to insert geo-data, being correctly aligned with the map images, into the game engine. Next, the imported data are transformed into partly animated 3D visualizations, such as a dot distribution map, curved lines, pie chart billboards, stacked cuboids, extruded bars, and polygons. Additionally, we implemented legends, elements for temporal and thematic navigation, a screen capture function, and a touch-based feature query for the user interface. We evaluated our prototype in a usability experiment, which showed that secondary school students are as effective, interested, and sustainable with printed as with augmented maps when solving geographic tasks.
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances

Dense depth estimation from a single image is a key problem in computer vision, with exciting applications in a multitude of robotic tasks. Initially viewed as a direct regression problem, requiring annotated labels as supervision at training time, in the past few years a substantial amount of work has been done in self-supervised depth training based on strong geometric cues, both from stereo cameras and more recently from monocular video sequences. In this paper we investigate how these two approaches (supervised & self-supervised) can be effectively combined, so that a depth model can learn to encode true scale from sparse supervision while achieving high fidelity local accuracy by leveraging geometric cues. To this end, we propose a novel supervised loss term that complements the widely used photometric loss, and show how it can be used to train robust semi-supervised monocular depth estimation models. Furthermore, we evaluate how much supervision is actually necessary to train accurate scale-aware monocular depth models, showing that with our proposed framework, very sparse LiDAR information, with as few as 4 beams (less than 100 valid depth values per image), is enough to achieve results competitive with the current state-of-the-art.