Reviewerly/exHarmony huggingface dataset:
Transformation of library and information services in terms of remote service

The article addresses the problems faced by the modern library in remote reader service. By accumulating your own electronic information resources, forming electronic information products (ECs, DBs, electronic exhibitions, etc.) based on them, does the book collection ensure the completeness and quality of library information services? Topical domestic and foreign librarians, who are included in the source of their research, are taking care of this issue. The article focuses on the work of the VNLU scientists, who trace the evolution of the scientific library as a component of the world information infrastructure and join the formation of a global information space by radically changing approaches to organizing library activity. In analyzing library studies, the authors note the lack of a common point of view, divergence and lack of sound policy on the problems of online transformation of the library environment, and substantiate the need to identify and systematize all existing forms and methods of remote service and substantiate the need for their integration on a single methodological and methodological platform. In terms of library practice, the authors highlight a number of existing contradictions between traditional and innovative forms and methods of library and information services. The levers of overcoming these contradictions, in their opinion, are the development of uniform methodological principles of library and information support in terms of remote service; conducting market research to gain an objective assessment of remote service performance from the perspective of key stakeholders — remote users; the construction of an algorithm, adaptive model and, finally, a slim system of library and information support for remote readers under remote service conditions.
Selective end-to-end data-sharing in the cloud

Cloud-based services, such as Google Drive, Dropbox, or Nextcloud, enable easy-to-use data-sharing between multiple parties, and, therefore, have been widely adopted over the last decade. Nevertheless, privacy challenges hamper their adoption for sensitive data: (1) rather than exposing their private data to a cloud service, users desire end-to-end confidentiality of the shared files without sacrificing usability, e.g., without repeatedly encrypting when sharing the same data set with multiple receivers. (2) Only being able to share full (authenticated) files may force users to expose overmuch information if the data set has not been exactly tailored to the receiver’s needs at issue-time. This gap can be bridged by enabling cloud services to selectively disclose only relevant parts of a file without breaking the parts’ authenticity. While both challenges have been solved individually, it is not trivial to combine these solutions and maintain their security intentions. In this paper, we tackle this issue and introduce selective end-to-end data-sharing by combining ideas from proxy re-encryption (for end-to-end encrypted sharing) and redactable signature schemes (to selectively disclose a subset of still authenticated parts). We overcome the issues encountered when naively combining these two concepts, introduce a security model, and present a modular instantiation together with implementations based on a selection of various building blocks. We give an extensive performance evaluation of our instantiation and conclude with example applications.
Automatic Information Extraction from Text-Based Requirements

Requirements form the legal basis for many development pro-jects. They are usually exchanged between customer and supplier in the form of product and requirements specifications and re-quire a subsequent integration effort into the corresponding requirements management solutions. Especially for small and medium-sized enterprises (SME), which mainly use office solutions for the management of requirements, this involves a very high integration effort, which is why this is usually only partially managed or not managed at all. Software solutions available on the market already offer support, but they are too expensive or complex, especially for small companies. The project DAM4KMU, funded by German Federal Ministry for Education and Research (BMBF), addresses this challenge and by enabling SMEs from Germany to integrate requirement documents automatically into existing requirement structures with the help of NLP-based techniques. For this purpose, the documents to be processed are divided into semantic roles, which can then be transferred into a semantic data structure. This in turn enables an automatic linking of the requirements and system components, which reduces the manual effort and avoids possible errors.
Satisfacción estudiantil universitaria: un referente para elevar los indicadores de los cursos en línea impulsados por la Coordinación General de Educación Virtual de la UAGro

New technologies advance in a vertiginous manner permeating all areas and spheres of life, with the educational field being one of the most important.As a result of this, the education of the 21st century has in many cases transformed the teaching-learning process, its techniques, strategies and tools, which have been modified by the digital impact.This article is developed facing a scenario of continuous evolution that generates significant advances in the educational environment.Its objective is to provide an indicator that shows the level of satisfaction of the students of the Faculty of Engineering of the Autonomous University of Guerrero (UAGro) Mexico, regarding to the courses taught in the distance mode by the same university.The research is a mixed method type since the benefits that quantitative and qualitative approaches can provide were used.Among the results, it was identified that the communication process is an important variable within the student's satisfaction, since the facilitators offer little feedback and they are not perceived as motivators, which prevents having a climate of confidence that contributes to reduce desertion.In this regard, it was detected that the academic monitors are those who play a determining role because they serve as permanent advisors that encourage and stimulate the student in the virtual educational process.The results of this study could contribute to the improvement of the online educational processes of the UAGro and be a reference for other institutions.
Review of The Meta-Heuristic Algorithms for Fuzzy Modeling in The Classification Problem

Classification is an important tool in today's world, where data is used to make all kinds of decisions in the government, economic, and medicine sectors.Classification is a tool that helps to make sense of the data and find patterns.The increasing size of data has led to more automated approaches as data sets have grown in size and complexity.Fuzzy system is seen as a good approach that can deal with this issue.The fuzzy system works based on implementing fuzzy logic and approximate reasoning.Fuzzy system works well on non-complex issues, but when applied to complex issues such as engineering or medical problems, the construction of the fuzzy system becomes complicated.Due to this, a method is needed where an automatic process to identify the fuzzy parameters is accomplished.There are various algorithms that can be applied to automate the fuzzy modeling.The goal of this study is to review the algorithms that can be applied to automate fuzzy modeling.Based on the literature, Genetic
Fuzzy GMDH and its application to forecasting financial processes

This paper is devoted to the investigation and application of the fuzzy inductive modeling method known as Group Method of Data Handling (GMDH) in problems of Data Mining, in particularly its application to solving the forecasting tasks in financial sphere. The advantage of the inductive modeling method GMDH is a possibility of constructing an adequate model directly in the process of algorithm run. The generalization of GMDH in case of uncertainty — a new method fuzzy GMDH is described which enables to construct fuzzy models almost automatically. The algorithm of fuzzy GMDH is considered. Fuzzy GMDH with Gaussian and bell-wise membership functions MF are considered and their similarity with triangular MF is shown. Fuzzy GMDH with different partial descriptions orthogonal polynomials of Chebyshev and Fourier are considered. The problem of adaptation of fuzzy models obtained by FGMDH is considered and the corresponding adaptation algorithm is described. The extension and generalization of fuzzy GMDH in case of fuzzy inputs is considered and its properties are analyzed. The experimental investigations of the suggested FGMDH were carried out.
ANALYSIS OF USER REQUIREMENTS FOR A MOBILE AUGMENTED REALITY APPLICATION TO SUPPORT LITERACY DEVELOPMENT AMONGST HEARING-IMPAIRED CHILDREN

Literacy is fundamental for children's growth and development, as it impacts their educational, societal, and vocational progress.However, the mapping of language to printed text is different for children with hearing impairments.When reading, a hearingimpaired child maps text to sign language (SL) which is a visual language that can benefit from technological advancements, such as augmented reality (AR).There exist several efforts that utilise AR for the purpose of advancing the educational needs of people who are hearing impaired for different SLs.Nevertheless, only a few directly elicit the visual needs of children who are hearing impaired.This study aims to address this gap in the literature with a series of user studies to elicit user requirements for the development of an AR application that supports the literacy development of Arab children who are hearing impaired.Three instruments were utilised in these user studies, each targeting a different group of literacy influencers: questionnaires issued to parents of children with hearing impairments, interviews with teachers, and observations of children who were deaf or hard of hearing.The findings indicated that the parents and teachers preferred Arabic SL (ArSL), pictures, and videos, whereas the children struggled with ArSL and preferred finger-spelling.These
Biometric Authentication

It has been explained in the previous chapter that although passwords or something you know is still the most common authentication method, they are not without problems. In other words, authentication schemes based on passwords or something you know are not considered to be highly secure anymore. This is because they are susceptible to many types of attacks such as password guessing, password dictionary, and even shoulder surfing. There have also been suggestions to create longer and more complex passwords. However, they are considered not usable because they can easily be forgotten.
Conceptual Vision of the New University in the Works of Modern Scientists: Typology of the Concepts of Innovatisation of the Higher School

This article is devoted to solving the problem of systematizing the existing concepts of innovation in higher education, reflecting the new vision of the university by modern scientists. The author studied the content and conducted a comparative analysis of various concepts relating to the emergence of the future image of the University. First of all, these are the works of the classics of post-industrialism, who defined science and education as a new industry within the emerging knowledge economy and noted the need to form, in this regard, a new type of University. Important potential for understanding the role and place of the University, as well as to get an idea of its supposed (futuristic) model in the new realities have the concepts of innovatization of higher education, the analysis of which is given most of the article. Under the concepts of innovatization of higher education in the article we understand the concept of modern scientists who consider the transformation of the traditional University in its innovative model that meets the needs of the economy and society focused on innovation. The concepts of innovatization are also divided into several types, grouped according to the relevant features, which suggests the possibility of transition to the innovative model of the University in different ways.
Exploring the cultural underpinnings of knowledge management process in India

Knowledge management (KM) process effectively exploits the knowledge, a strategic asset of the organisation in gaining competitive advantage. KM process is influenced by various factors and culture is one of them. Culture plays a significant role in shaping KM process in the organisation. When KM process is to be applied in an organisation, the local cultural context also needs to be taken into consideration. Various organisations in India are adopting the principles and practices of KM process that have evolved outside India. These organisations need to understand the influence of Indian cultural context on KM process for adoption of effective mechanisms and appropriate interventions. This paper is an attempt in the direction of providing understanding and insight of the influence of Indian cultural context on KM process by systematically exploring, examining and synthesising the contents of research papers published in this area by utilising the literature review methodology.
Leg Bone Fracture Segmentation and Detection using Advanced Morphological Techniques

The bone fracture is the most common problem and is likely to occur due to traumatic incidents like vehicle accidents, sporting injuries or due to conditions like osteoporosis, cancer related to bones. Fracture cannot be viewed by naked eye and so X-ray, CT, ultrasound, MRI images are used to detect it. These images cannot be diagnosed directly and henceforth image processing plays a very important role in fracture detection. This paper presents an image processing technique that uses Laplacian method of edge detection for accurate identification of fractured bone area from the X-ray/CT images. From the fractured bone area several parameters like mean, standard deviation are calculated in order to analyze the accuracy and sensitivity of the used technique. NIVISION assistant software is used and the statistical parameters are calculated.
Construction of Durian Dataset from Web Collection for Query Reformulation Research

Study in the field of Information Retrieval (IR) has long been developed and thrived over time. And most of them use the available standard dataset for testing and evaluation. In line with that, the existence of new dataset has also increased to meet the needs of their respective studies. However, to the best of our knowledge, there is no dataset collected from web document that focuses on fruit domain. Therefore, in this paper we contribute to this field by publishing a dataset of web document for fruit focusing on durian fruit. This durian fruit dataset is suitable for query reformulation experiment, searching system, web information retrieval and any search engine experiment. This dataset contains a collection of web document for fruit and durian fruit, a collection of queries and a set of relevant judgement. In addition, in this paper we also publish a list of frequently asked query regarding durian, and an extended list of query characteristic categories.
Amazon vs ACLU: new war of words over facial recognition

The ACLU privacy campaign group has claimed that in tests Amazon's controversial Rekognition software wrongly matched over two dozen sports stars, including Superbowl winner Duron Harmon, with criminal mugshots.
System Design of Augmented Reality Technology to Strengthen Sustainable Imaging of Kujang Products Based on Local Culture

Kujang products, which are reproduced by a number of micro businesses in West Java, have not been able to increase public interest in preserving them as high value tourism products. Kujang's image as a "valuable" local culture-based product in the community is still low. This results in a still low level of quantity and quality of tourism based on local culture, especially those related to Kujang. Although the government has launched a work program to achieve the target for the next five years.. One way that can be done to improve the image. This paper aims to design a digital-based information system, to strengthen sustainable imagery related to local culture-based cleaver products. The digital information system design techniques are carried out using Augmented Reality technology. The design of information systems about Kujang products is not only targeted at students, but also at the national and international public. Based on the usability test results using the Sumi approach obtained a statistical value of 71 for general evaluation, indicating that the information system about Kujang products is very useful. This information system is more accessible, and preferred by the public because it is equipped with an attractive three-dimensional display. Augmented Reality Technology can even become a learning medium that supports the curriculum, especially in historical sub material. Augmented Reality technology in the information system about Kujang is able to increase public interest in knowing more about Kujang information, and can be upgraded to an edu-tourism idea that collaborates with the Kujang micro business.
An Assessment of Heatwave Impact in Enugu Metropolis of Enugu State

Abstract Background : The context of this research the impact of heatwave within Enugu city center, with the aim to analyze the impact in the city metropolis of Enugu state which comprises of three local government areas namely Enugu East Enugu North and Enugu South. Result : From the result, our findings showed the increase in lst over the period of years and over 50% inhabitants feel discomfort, while the vegetation index reduced in year 2020. Conclusion : The summary of the research looked at the change detection, NDVI, LST, and thermal comfortablity index, the potential implication of the result shows that heatwave impact is more felt in the study area and, the city will become more hotter in the near future thereby making it unfavourable and un comfortable for people to live or habit.
Improved Memetic Algorithm Enabled Intelligent Multi Agent (IMAEIMA) System for Web Mining

Wider web space, the searching of a relevant data is the most curious problem for the common people accessing the web. For retreving the relevant information the user request is given to search engine. The relevant pages combined with irrelevant pages are returned to the user. The proposed work emphasizes an Improved Memetic Algorithm Enabled Intelligent Multi Agent (IMAEIMA) for searching the most appropriate pages when submitting complex queries. Improved Memetic algorithm is the traditional genetic algorithm combined with local search and random selection. In this proposed system Improved Memetic algorithm additionally enhanced with logarithmic weight function for more accuracy. Intelligent Agents are introduced in this IMAEIMA to improve its performance and accuracy by reacting intelligently based on feedback and previous experience. This system helps to retrieve relevant pages from web databases with high precision and recall. The derived architecture reveals greater precision and recall overriding the conventional search algorithms.
Comparative analysis of various Image compression techniques for Quasi Fractal lossless compression

The most important Entity to be considered in Image Compression methods are Paek to signal noise ratio and Compression ratio. These two parameters are considered to judge the quality of any Image.and they a play vital role in any Image processing applications. Biomedical domain is one of the critical areas where more image datasets are involved for analysis and biomedical image compression is very, much essential. Basically, compression techniques are classified into lossless and lossy. As the name indicates, in the lossless technique the image is compressed without any loss of data. But in the lossy, some information may loss. Here both lossy &amp; lossless techniques for an image compression are used. In this research different compression approaches of these two categories are discussed and brain images for compression techniques are highlighted. Both lossy and lossless techniques are implemented by studying it’s advantages and disadvantages. For this research two important quality parameters i.e. CR &amp; PSNR are calculated. Here existing techniques DCT, DFT, DWT &amp; Fractal are implemented and introduced new techniques i.e Oscillation Concept method, BTC-SPIHT &amp; Hybrid technique using adaptive threshold &amp; Quasi Fractal Algorithm.
Object Detection System for Blind People

The point of this paper is to research the improvement of a route help for visually impaired and outwardly weakened People. It has microcontroller which has wifi inbuilt module. This guide is convenient and offers data to the client to move around in new condition, regardless of whether indoor or open air, through an easy to use interface. Then again, and so as to lessen route challenges of the visually impaired, a deterrent location framework utilizing ultrasounds and vibrators is added to this gadget. The proposed framework identifies the closest hindrance through ultrasonic sensors and it gives an alert to illuminate the visually impaired about its confinement.
Mining Public Opinion on Indian Government Policies using R.

Nowadays, social media monitoring has burgeoned at a very rapid pace, so analyzing social data plays a crucial role in knowing people’s behavior. People share their views regarding trending topics that are occurring around the world. Opinion mining is used for extracting the sentiments from the textual data that are shared by peoples. In this work, we are analyzing Twitter Tweets using sentiment analysis which checks the opinion of people regarding various policies that were announced by the Indian Government. The main objective of the paper is to analyze sentiments of various Indian Government policies (namely Article370, New Motor Vehicles Act 2019, Triple Talaq, Jal Shakti Abhiyan, NRC Assam) on Twitter so that public opinions and views are analyzed. Emotions (anger, trust, fear, anticipation, disgust, sadness, joy, surprise) are analyzed using Emotion-based lexicon technique. Sentiments are classified into two categories (positive and negative) from the emotion lexicon EmoLex. The paper provides a comparative analysis of these policies and this work can act as feedback from people to the government. R programming is used for implementation and visualization.
A Proposed Similarity Measure for Text-Classification

A Similarity measure is a main process in the text processing method. we have proposed a new method of similarity measure which improved the performance of the K-NN method. The proposed measure extended the accuracy of the text classification method. we have implemented proposed method with Amazon dataset and we observed the effectiveness of proposed similarity measure is increase the accuracy of the similarity between set of documents in a corpus. The end result display performance achieved by way of the proposed measure is higher than that obtained by others.