Reviewerly/exHarmony huggingface dataset:
SIGNIFICATIVE EXPERIENCES TO DEVELOP TEACHERS' DIGITAL COMPETENCE IN HIGHER EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 5498-5503ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1356Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Determine Image Quality Enhanced by Using the Suggested Algorithm

In this research has been improved the brightness and contrast through a new algorithm suggestion based on the algorithm retinex and algorithm settle histogram.Use retinex algorithm for homogeneous regions and algorithm settle histogram for edge regions and using effective Sobel.The comparison showed between the three methods by calculating the quality standards (μ, σ) and by observing the results that the Suggested method has successfully in enhancement brightness and contrast are almost equal compared with other methods.
Content-based Image Retrieval using Texture and Color Features

The emergence of multimedia technology and the rapidly expanding image collections on the Internet have attracted significant research efforts in providing tools for effective retrieval and management of visual data.Content-based image retrieval has been an active area of research over last decade.In this paper, a content-based image retrieval system is presented.It supports querying by example to retrieve images from the images database according to their texture and color features.For feature extractions, Gray-Level Co-occurrence Matrix (GLCM) and color histogram of HSV have been used.The results appeared quite satisfactory.
Chronocarto, a web-GIS for archaeologists (but not only...)

Chronocarto is a web-GIS developed since 2006 for the representation of cartographic data in Archaeology. It has been designed to allow for networking among researchers, non-specialists in GIS, from the acquisition phase to the enrichment of existing on-line documents. The platform is hosted on the Huma-Num TGIR and supports the concept of projects associated with a community of users whose rights can be modulated by an administrator. The concept of copyright has been introduced both at the data level and for the maps. Each project consists of a number of maps possibly grouped in different folders. The data can be spatial (georeferenced image files, vector files but also database or simple spreadsheet) or non-spatial (word processing files, images, videos, Internet links). Archiving is daily and incremental. The status of projects may change: 'in project', 'in progress', 'completed', 'publishable online (public)' and 'archived' (not visible but stored for a minimum of 30 years). Currently, the platform manages over a hundred projects and several thousand maps. Some of the maps can be associated with thematic Atlas thanks to key words. The Atlas allows to query databases with simple questions like Where, When? What?. The results of the query are in the form of distribution maps. Chronocarto continues to be developed internally and its access is free.
A Novel hybrid approach for Secured Multimedia Big Data Content Protection System (SMBDCPS)

Most of existing work does not ensure the optimal and secured storage maintenance of big data. This is resolved in the proposed research method by introducing the method namely Secured Multimedia Big Data Content Protection System (SMBDCPS). In this work, initially keys are encryption and decryption is generated by introducing the Hybrid AES and SHA-256 algorithm. This method would integrate the key values of AES and SHA-256 together to generate the new key value which would increase the security level of the proposed system. The keys generated using this hybrid algorithm only requires small storage which is computationally efficient. The overall evaluation of the research work is carried out on matlab simulation environment over the medical health care datasets which proves that the proposed research method ensure the optimal and secured handling of multimedia big data.
Handling Long Lines in Inclusions in Internet-Drafts and RFCs

This document defines two strategies for handling long lines in width-bounded text content. One strategy is based on the historical use of asingle backslash ('\') character to indicate where line-folding has occurred, with the continuation occurring with the firstnon-space (' ') character on the next line. The second strategyextends the first strategy by adding a second backslash character toidentify where the continuation begins and is thereby able to handlecases not supported by the first strategy. Both strategies use a self-describing header enabling automated reconstitution of the originalcontent.
Special issue on “Applications of graph-based techniques to pattern recognition”

The paper proposes a performance model for estimating the improvement of the time needed to transcribe small collections of handwritten documents by using a keyword spotting system (KWS) with respect to the time for manually achieving the transcription. The proposed model assumes that no other information than those obtained from the samples and the KWS system performance on the training set are available, and, depending on them, establishes analytically the condition the performance measures must satisfy to make it profitable to use the system, and, in the affirmative case, estimates the gain and the accuracy of such estimation. The model is complemented by a step-by-step procedure for building the training set, running the KWS on it, estimating the performance parameters on the data set, and eventually estimating the overall improvement and the accuracy of this estimate.
МОТИВАЦІЙНО-ЦІЛЬОВІ ХАРАКТЕРИСТИКИ ПРОФЕСІЙНОЇ УСПІШНОСТІ ВИКЛАДАЧА ВИЩОЇ ШКОЛИ

T he article contains the analysis of scientific approaches to motivation-and-target sphere’s characteristics in the aspect of success in university teachers’ professional activities. In the work there are supplied the research data concerning life and professional goals, the leading sources of professional motivation, motivation directedness, at attaining success in lecturers’ groups with different success level. It is determined that for lecturers with a high success level compared with those of mediate level, of greater priority are: the value of enjoying professional activity, a greater aspiring to being recognized by society, the trait of taking a greater responsibility, a more coordinated with the mentioned traits hierar­chy of life goals.
More Than a Million New Earthquakes Spotted in Archival Data

By reanalyzing seismic records, researchers found a plethora of tiny earthquakes in Southern California that trace new fault structures and reveal how earthquakes are triggered.
Towards an improved classification model based on deep Learning and nearest rules strategy

In this paper we present a comparison between two improved approaches i.e. hybrid rules-based method with a proposed wrapper and nearest rule strategy, deep principal component analysis. We also perform several experiments with an analysis dataset from a distance learning platform. Several classifiers were developed to compare the performance of the proposed approaches,  using  accuracy, TP rate, F measure, PRC area, MCC, precision, recall  and receiver  operating  characteristics area  (AROC)  as  metrics. The result conﬁrms the utility of these algorithms for classification and shows clearly the superiority of our approaches
Алгоритм определения переводов статей с использованием статистических данных

During the last decades scientometric techniques have been used for research activity stimulation. Number of published articles and number of their citation counts are among the most important scientometric parameters. In an automated environment, when the publications metadata is gathered from various sources, correct linking of original papers with their translations into different languages is extremely important. In the paper we show that the known text similarity measures are inefficient in the context of article linkage problem. We propose a method for semi-automatic article linkage using statistical data on authors publication activities only. This approach may be used for linking articles without training for the language of translation. The method was evaluated on real-world collection of publications metadata of ISTINA information system.
Local mean based adaptive thresholding to classify the cartilage and background superpixels

&lt;em&gt;&lt;span&gt;Semi-automatic segmentation is common in medical image processing because anatomical geometries demonstrated by human anatomical parts often requires manual supervision to provide desirable results. However, semi-automatic segmentation has been infamous for requiring excessive human intervention and time consuming. In order to reduce a forementioned problems, seed labels have been generated automatically using superpixels in our previous works. A fixed threshold method has been implemented to classify cartilage and background superpixels but this method is reported to lack the adaptiveness to changing image properties in 3D magnetic resonance image of knee. As a result, the coverage of background seeds are not sufficient to cover whole background area in some cases. In this work, we proposed a local mean based adaptive threshold method as a better alternative to the fixed threshold method. We calculated local mean for each block in an integral image and then use it to differentiate background superpixels from cartilage superpixels. The method is robust to illumination changes and simple to use. We tested the adaptive threshold on 35 knee images of different anatomical geometries and proved the proposed method could provide more comprehensive background seed labels distribution compared to fixed threshold method&lt;/span&gt;&lt;/em&gt;
Verification and validation of IM-DeCRuD approach using DESMET for its applicability

Requirements crosscutting in software development and maintenance have gradually become an important issue in software engineering with a growing need of traceability support to better understand the requirements crosscutting processes to comply with industrial standards. However, many recent works focusing on identification, modularization, composition and conflict dissolution of requirements crosscutting are mostly saturated at requirements level. Hence, these works fail to specify crosscutting properties for functional and non-functional requirements at other phases leading to insufficient support for software engineers. Recently, a new approach called the Identification, Modularization, Design Composition Rules and Conflict Dissolutions (IM-DeCRuD) was proposed to provide a special traceability to facilitate better understanding and reasoning towards requirements crosscutting implementation, along with a tool as a proof-of-concept. In this paper, the tool was evaluated and the results were verified by some experts in the industries. The feedbacks on applicability aspect were then gathered and analyzed using DESMET qualitative method. The outcome showed that the IM-DeCRuD was applicable to cope with the tedious engineering processes in handling crosscutting properties at requirements, analysis and design phases for system development and evolution.
Impact of Financial Liberalization on Income Inequality: A PVAR Approach

We estimate a panel vector autoregressive model (PVAR) to study the impact of financial liberalization on income inequality. The analysis is carried out for 162 countries over the period 1980-2015. The results show that capital account liberalization and financial development increase inequality. However, it change according to the category of income countries (low, middle and high-income) and according to the period of study used (before and after 1990). The shocks caused by the indicators of financial liberalization on income inequality are very low but persistent in time.
How to Control a TCP: Minimally-Invasive Congestion Management for Datacenters

In multi-tenant datacenters, the hardware may be homogeneous but the traffic often is not. For instance, customers who pay an equal amount of money can get an unequal share of the bottleneck capacity when they do not open the same number of TCP connections. To address this problem, several recent proposals try to manipulate the traffic that TCP sends from the VMs. VCC and AC/DC are two new mechanisms that let the hypervisor control traffic by influencing the TCP receiver window (rwnd). This avoids changing the guest OS, but has limitations (it is not possible to make TCP increase its rate faster than it normally would). Seawall, on the other hand, completely rewrites TCP’s congestion control, achieving fairness but requiring significant changes to both the hypervisor and the guest OS. There seems to be a need for a middle ground: a method to control TCP’s sending rate without requiring a complete redesign of its congestion control. We introduce a minimally-invasive solution that is flexible enough to cater for needs ranging from weighted fairness in multi-tenant datacenters to potentially offering Internet-wide benefits from reduced interflow competition.
Исследование ориентации на личностную модель взаимодействия с детьми как структурного компонента готовности педагогов к инклюзивному образованию

Introduction. The paper is devoted to a problem of staffing in the inclusive education. Relevance of the study is determined by many difficulties experienced by educators when teaching children with special educational needs in a high school. The authors consider a personality-oriented model of interaction with children as a structural component of professional readiness for inclusive education. The objective of the study is to identify and analyze specifics of the model of teacher-student interaction at different types of high schools.Materials and Methods. The Maralova-Sitarov’s questionnaire was used, enabling differentiation of teacher orientation by the educational disciplinary or personality-oriented model of interaction in the educational process. To process the study results, nonparametric statistical methods were used (Spearman’s correlation coef ficient and the two-sample test of Mann-Whitney).Results. Most teachers at various types of schools practice an educational and disciplinary model of interaction with children, which impedes the development of the idea and values of inclusive education (i.e. education adapted to requirement of a child with special needs) in the teachers’ community. However, for teachers of inclusive-education schools and future teachers, compared to teachers of general educational and special institutions, indicators of the personality-oriented model are significantly higher when speaking in terms of tar get and instrumental characteristics of activities.Discussion and Conclusion. The study showed both the teacher community adherence to authoritarian stereotypes and the marked trend towards overcoming them by inclusive school teachers and students that reflects the desire for personal and professional self-development. The study reveals new explanations of teacher problems related to mastering the state-of-art educational strategy. In future, the components of the teacher’s personal and professional readiness for inclusive education should be identified. The article may be of interest to educators and specialists dealing with issues of staff provision for inclusive education.
An evaluation of Sunrise Series Teaching Program

The Constitution of Iraq in 2005 has restructured the Iraqi state in accordance with two main and interrelated demands for the Iraqis, namely the democratization and federalism of the Iraqi state. The constitutional legislator resorted to many principles, institutions and procedures to achieve the two previous demands. Among these institutions that the Constitution required to be established are the Independent Commissions, Some of These Independent commissions related to technical issues and others concerned with the democratization of the state. Two of them were dedicated to the new federalism of Iraq, by ensuring the realization and application of one of the main principles of the federal state which is the principle of participation, these two Independent Commissions are (The Public Commission of Guarantee the rights of regions and governorates that are not organized in the region) which provided for in Article (105) of the Constitution and (The Public Commission of auditing and appropriation of federal revenues) which provided for in Article (106) of the Constitution.This study will examine these two Commissions and deal with them in all their aspects in light of both the Iraqi Constitution and the laws governing them, and marking down our observations on the law and propose what we consider necessary amendments for the purpose of development, due to their importance for the new phase of the Iraqi state
Extended CLEF eHealth 2013-2015 IR Test Collection

This package contains an extended version of the test collection used in the CLEF eHealth Information Retrieval tasks in 2013--2015. Compared to the original version, it provides complete query translations into Czech, French, German, Hungarian, Polish, Spanish and Swedish and additional relevance assessment.
A Naming System for IOT Objects

This draft suggests an object-centric naming system including namespace and name resolution system for the IOT environment. A name spaceis defined to cover diverse IOT objects. To consider scalability anddistributed architecture, the format of the name space consists ofobject category, local name, domain name, and parameters. Then,registries and servers are introduced to manage mapping betweenidentifier and object names with one-to-many relationship. Then, nameregistration and resolution using these registries and servers aredescribed.
Secured Cloud for Enterprise Computing

Cloud computing is a transformative technology that organizations cannot ignore. Before adopting cloud computing, an organization must determine its needs and risks and encapsulate them into cloud service provider selection criteria. Due to being sharable and the openly accessible nature of cloud computing, the criteria must highlight data security and protection against malware. Only after developing the criteria, should the organizations select a cloud service provider. Choosing the right provider is essential.
Real Time-Based Advanced Approach for Abandoned Object Detection and Classification

Real time-based application has vast area of research in image processing. One of them is abandoned object detection. Abandoned object detection and classification plays vital role in security field in different commercial, social places, but still some objects require manual interference. Taking advantage of these, terrorist attacks rises on airport, railway stations, shopping malls etc. Hence there is a desperate need of automatic object detector which can detect abandoned objects in crowded places. The main focus is to provide brief overview about work done in abandoned object detection and classification.
Новые непримитивные коды, образованные из примитивных БЧХ-кодов и кодов Хемминга и их норменная обработка

Integrated studies completion of BCH codes of different lengths is devoted. Most attention is paid to codes whose lengths are intermediate between primitive lengths, which are obtained by throwing in a special way from the check matrices of primitive BCH codes of a large number of columns, but with preservation of cyclical properties, which are proposed to be called non-primitive BCH codes. The properties of the named code class are systematically investigated. It is proved that, according to the variety of lengths, about a third of the non-primitive BCH codes have a code distance greater than constructive, and, therefore, they are able to correct random errors, the multiplicity of which significantly exceeds the constructive frame. Correction of such errors is called plus-decoding. It is shown that it is impossible to implement plus-decoding by known classical methods and algorithms, but only by the available and developing means of the theory of norms syndromes. Two algorithms for the implementation of plus-decoding by permutation normal methods are proposed. Non-primitive BCH-codes are promising for applications in real modern information and communication systems.
Test Length and Sample Size for Item-Difficulty Parameter Estimation in Item Response Theory

The study investigated test lengths and sample sizes in the accurate and stable estimation of item-difficulty parameter in the Item Response Theory (IRT) One Parameter Logistic Model (1PLM).Real data of students that sat for the June/July 2015 Economics Multiple-Choice Examinations in Edo State was obtained from the National Examinations Council (NECO), Nigeria.The statistical population of examinees were 5,158 and the test length 60.Sample sizes of 200, 500, 1000, 2000 and 5000 were randomly drawn from the population with replacement; these samples were each paired with test lengths of 10, 20, 30 and 50.all amounting to 20 statistical conditions (5 sample sizes× 4 test lengths)The parameter estimates were generated using the eirt -Item Response Theory Assistant for Excel.The generated item-difficulty parameter using the entire population was assumed to be the true parameter value against which others were compared, using the Root Mean Square Error (RMSE) as an evaluative criteria.The acceptable RMSE was ≤ 0.33.Conclusion reached was that for an accurate itemdifficulty parameter estimate in the 1PLM at least a test length of 10 and sample size of 1000 is required.
Advanced non-homogeneous dynamic Bayesian network models for statistical analyses of time series data

Non-homogeneous dynamic Bayesian network models (NH-DBNs) have become popular statistical tools for analyzing time series data in order to infer the relationships between units from the data. We consider those models where a set of changepoints is employed to divide the data into disjoint segments. The changepoints are time points in which after them the general trend of the data changes. Thereafter, data within each segment are modeled with linear regression model. Some segments might be rather short and including only a few data points. Statistical inference in short segments with just a few (insufficient) data may lead to wrong conclusions. This, indeed, calls for models which make use of information sharing among segments. Recently, models with different coupling mechanisms between segments have been introduced. The main shortcoming of these models are that they cannot deal with time series data in which some parameters are dissimilar (uncoupled) over segments. Another scenario also happens when we encounter some time series data which have been measured under different experimental conditions. In this case we can assume each dataset per se a separate segment. Not rarely only some parameters depend on the condition while the other parameters stay constant across conditions. These situations call for advanced models with an effective mechanisms for coupling and uncoupling simultaneously. In this thesis we introduced four novel models which can deal with the above-mentioned situations and our empirical results have shown that our models lead to improved network reconstruction accuracies and outperform all competing models.