Reviewerly/exHarmony huggingface dataset:
AN AUTOMATED APPROACH TO VALIDATE REQUIREMENTS SPECIFICATION

Requirements engineering processes aim to acquire functions, services and constraints. These processes are important to satisfy the customer by applying correctness, completeness through consistency according to the control instructions to achieve product quality. Both functions and services face changeability issue that is hard to regulate, depending on the precise request of the customer. This research addresses the achievement of correctness, completeness, and consistency by applying an automated approach. The evaluation is established using a standard use case diagram from the UML official website.Â  The proposed approach detects the incorrect requirement specifications to enhance Software quality. The proposed approach includes three levels; the first level is the Structured Document, the second level is the Dynamic Language, which describes the transforming of use case diagram as dynamic, and the third level is the completeness checking procedures, which is based on the implemented standard rules. The approach is supported by a programmed tool on MS excel and XML due to IBM Rational Rose and Visual Paradigm and experimented â€œOnline Shoppingâ€ use case diagram as a case study.
«ПРОШУ МОЕЙ ПРОСЬБЕ НЕ ОТКАЗАТЬ»: ОТРАЖЕНИЕ ПРОБЛЕМ РАБФАКОВЦЕВ 1920-Х ГОДОВ В ИХ ОБРАЩЕНИЯХ К ВЛАСТИ

Workers’ faculties (rabfak) began their work to help the workers and the poorest countrymen in gaining necessary knowledge for admission to higher educational institutions. The article examines the moment of the rabfak establishment from the point of view of students who wrote to the authorities. The analysis of letters helps us trace milestones in students’ lives, such as entering workers’ faculties, studies, graduation, along with the related problems. Most of the letters to the authorities dealt with the students’ personal problems and their involvement into getting proper education, without considering systemic issues, such as inefficient learning in some institutions or the lack of students with a certain specialization. Students’ letters also help us look more closely at the problems of rabfak students, especially since those letters are rarely allocated into individual cases; much more often they are mixed with the appeals of students and/or other citizens to certain authorities. Partially, the topics contained in the letters were the subject of a wide public discussion of the 1920s (overload of educational and social work, difficult living conditions, the need to work additionally, etc.); others concerned the individual situation of a particular student: transfer to another university for family reasons, disappointment in the profession, etc. The letters give an idea not only about the peculiarities of studying at the workers’ faculty, but also about the student life of that time, relations between students, and the perception of the higher education system by young people as well.
Development of SAW (Simple Additive Weighting) Method for Decision Support System of Sembako Price Control

The Supporting System The decision to control basic food prices at the fisheries and forestry service is a system designed to assist relevant agencies in seeing prices of basic necessities which tend to increase at any time. At first the relevant agencies do recap calculations by storing data and still counting manually, so it requires a longer time, with the existence of this system it is expected to be able to help and provide solutions for consideration of decision making in accordance with the right calculations. The decision support method of calculation used is the SAW method that takes the greatest value to be used as a decision-making ranking. In addition, other methods used are data collection methods by observation and interviews to identify problems in developing support systems for basic food price control decisions. Model design is described using data flow diagrams (DAD) and entity relationship diagram (ERD). The system developed is able to record, calculate and provide alternative solutions effectively for relevant agencies. With this system, agencies are expected to be able to process the calculation of basic food prices better, select more accurate decisions, and take more effective alternative solutions.
La educación en Colombia: un proceso de transformación digital que puede aumentar la brecha social en Colombia

Covid-19’s arrive to the actual life has a huge affectation in several levels, such as economic, social and politic level, inclusive, it has defined a new “normality” where social distancing, virtuality and teleworking and it has generate and increase of demand in new communication ways and of social relationships, such as internet and telephonic channels, which has allowed to keep open a attentional channel that makes easier not only corporative activities in a corporate level, but also in governmental, financial, and in educational levels (Reimers & Schleicher, 2020). Inside the Covid-19 pandemic framework one of the most impacted sector, not in economics terms, but in process impacts, is the education field, where, according to the precautionary measures and guidelines published by the National Government looking for content the virus velocity spread, such like social distancing, this field has been pushed into virtually classes (Reimers & Schleicher, 2020). However, it means a huge challenge because of the limitations in social, economic, cultural, and technologic gaps of the Colombian society, and considering the need of easy understanding which must be implemented the digital transformation that frame this change (Arango Serna, Branch, Castro Benavides, & Burgos, 2019; Reimers & Schleicher, 2020), and the speed of it, it represents a lot of challenges for institutions, teachers and students that may contribute to increase the actual social gap between different levels of society, and, inclusive, in regional, national and between different countries. All this, considering the resilience capacity, the facility of parents and tutors to support the learning processes, mainly in basic and media education (in time and in resources) and the institutional support of publics and private schools(Reimers & Schleicher, 2020). This document gives an approach of the common problematics related with Colombian’s transformation digital process in educational fields – in several formational levels – and, as a result of Covid-19’s pandemic’s contingency, it is expected to see affectations in several levels, such as quality of students’ education, academic’ formation’ process, economics and in some cases, school desertions.
Security Assessment and Testing

In this chapter, you will learn about the intricacies of assessing a security loophole or weakness, and you’ll learn about testing strategies along with how to securely process data.
DESAIN PEMBELAJARAN STATISTIK MELALUI GOOGLE CLASSROOM

This study aims to design statisticl learning through the use of Google Classroom. In this study, a valid learning device was produced (validated by experts), and received a positive response as well as design learning statistic l. This research is classified as qualitative research. The 11th semester students at the University of Madura who are taking this 1st statistics course are the subjects in this study. While the data collection technique used is to use a response sheet that is filled out via Google Form and an assignment in the Google Classroom . The data analysis technique used is that student learning outcomes are sought for the average value if the result is more than 75, then the learning design applied is successful and can be used for other courses, and the response to learning outcomes is said to be positive if it gets a percentage of more than 75%. The observation sheet is filled with attention to student activities during the work of assignments and assignments are sent online to students via Google Classroom media. Problem assignments are given to students after they have studied statistics 1. The learning tools designed in this study are in the form of RPM, and test questions. Through this learning design, valid, effective and practical learning tools are obtained.
Automatic Mesh Size Estimation in DVC for Images of Isotropic Materials

When non-rigid digital image or volume correlation (DIC/DVC) is performed, it is critical to correctly set a parameter that controls the control point spacing for the grid on which deformation is defined. In this paper we present a method to automatically estimate the best performing grid spacing parameter for DIC/DVC registration. The operating principle is that the optimal grid spacing parameter is a function of the image content: it may be estimated through determining the dominant feature/object size. In order to extract the information about the object size, the image volume has been first segmented, then the disconnected objects inside the images have been detected (using labeling technique) and lastly a classification of the objects has been made based on the number of the voxels of each object. The materials for a validation study arise from the practical necessity resulting of finding the best performing parameter for registration in materials sciences research. We show how an erroneous setting of the density of the control points leads to inaccurate registration. Furthermore, we demonstrate how the parameter predicted by our algorithm is indeed optimal, both in a quantitative sense, using Normalized Cross Correlation (NCC) as a measure, as well as qualitatively.
Planning for what you don’t want to happen: The Library & Special Collections Emergency Management and Salvage Plan at Manchester Metropolitan University

Manchester Metropolitan University Library and Special Collections developed their first emergencymanagement plan in 1994 following on from the devastating fire at Norwich Central Library, whichdestroyed thousands of historical documents and more than 100,000 books. Norwich Central Librarydid not have an emergency plan at the time so when the Fire Service entered the building to try toretrieve and save material they inadvertently brought out material that was easy to replace beforethe more rare items, which hadn’t been prioritised for salvage. This experience highlighted thenecessity for a robust emergency plan, which is now standard requirement for all libraries, museumsand archives
ESTIMATION PARAMETERS OF POTENTIAL VERESOBORSKY MASSIF AREAS PRODUCTIVITY FOR PRIMARY Pt MINERALIZATION, MIDDLE URALS

The analysis of statistically representative material of lithochemical sampling within Veresoborsky dunite massif revealed a group of correlating chemical elements (Cr, Mn, Co, Ni, Bi, Sn, W, Zn) whose accumulation trend coincides with that of Pt. The established pattern enables proposing criteria of comparative evaluation regarding primary Pt mineralization productivity of local areas (0,5-3 km2) in both Veresoborsky massif and its counterparts composed of the Urals Kachkanarsky complex (υO3k) rocks.
Construction and Key Technology of Coal Geology Cloud Based on Openstack

Abstract In order to promote the information and digital construction of coal geological work, promote the rapid development of green coal mines and smart coal mines. In this study, we developed the Coal Geology Cloud (CGC) using key technologies such as elastic computing, mass storage of map data, and cloud message queues. The research and development process is based on the secondary development of Openstack and mature cloud computing platform technology. The researchers adopted the four-layer technical architecture of Iaas, PaaS, SaaS and Client. At the same time, it combines coal mine GIS series software and cloud computing IaaS platform to form an object-oriented Coal Geology Cloud GIS solution. CGC realizes the collection, aggregation, storage, analysis, processing and display of coal geology and related information, and provides convenient online cloud services for the exploration, development, research and management of coal resources.
Vision IA Microservice for the detection of ID personal data

We provided a microservice developed in Nodejs connected to Google Cloud services. From a photograph of the ID obtained through a mobile device, its content is analyzed to extract its information. The Vision AI API uses AutoML Vision, which is capable of interpreting text. The information returned by the Vision AI service is processed in the microservice and the confidential information is anonymized, to be stored in a MySQL database server. The microservice is part of a mobile application to register the entry of citizens to a government institution.
Hybrid Pruning of Deep Learning System

A convolutional neural network (CNN), which is one of the deep learning models, has been very successful in a variety of computer vision tasks. Filters of a CNN are automatically generated, however, they can be further optimized since there exist the possibility of existing redundant and less important features. Evolutionary algorithms is adopted to remove the unnecessary filters in order to minimize the parameters of CNN networks while maintaining a good performance of classification. Previous approach using evolutionary algorithm shows excellent performance for the filter reduction, but has a limitation of huge amount of computation. Hybrid approach combining evolutionary algorithm and weight based pruning (APoZ) is proposed to enhance the efficiency of reduction and to reduce computation complexity. We demonstrate the proposed filter reduction method performing experiments on CIFAR-10 data based on the classification performance.
Social Media and Drug Smuggling in Saudi Arabia

Social media is the process where communication and interaction between individuals all over the world takes place. Like all different kinds of technology social media has many advantages but it also has many disadvantages. Saudi Arabia is one of the largest economies and population in the world. The internet users in Saudi Arabia are around 30 million individuals in 2018. This large number of users represents the best choice for market and business not only for legal but also for illegal business-like drug smuggling. In this paper, we try to give some ideas about some drug smuggling cases through social media and the effort of Saudi Arabian Government to control this phenomenon.
The Astromaterials Data System: Advancing Access to Past, Present, and Future Lab Analytical Data of NASA's Astromaterials Collections

&amp;lt;div class=&amp;quot;page&amp;quot; title=&amp;quot;Page 1&amp;quot;&amp;gt; &amp;lt;div class=&amp;quot;layoutArea&amp;quot;&amp;gt; &amp;lt;div class=&amp;quot;column&amp;quot;&amp;gt; &amp;lt;p&amp;gt;The Astromaterials Data System (AstroMat) is&amp;amp;#160;a comprehensive data system for laboratory analytical data generated on astromaterials. The system will host all data generated on samples from the Astromaterials Collections curated at NASA's Johnson Space Center. AstroMat has been under development since late 2018 with funding from NASA and has been releasing versions of system components that can be used for searching content in AstroMat and for publishing astromaterials data. We will provide an update on the status of the AstroMat software ecosystems and its data content in this presentation.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;AstroMat is designed as an ecosystem of interconnected web applications that provide human- and machine-readable interfaces to the data gathered and managed in the AstroMat data store. &amp;lt;u&amp;gt;AstroDB&amp;lt;/u&amp;gt; is a synthesis of all past, present, and future laboratory analytical data for the Lunar, Antarctic Meteorite, Cosmic Dust, Genesis, Hayabusa, Stardust, and Microparticle Impact collections that is being compiled from the literature and other data sources together with a wide range of information pertaining to the provenance of the analytical measurements (e.g., analytical instrumentation, laboratory, sample preparation procedures, instrument calibration, data reduction) and to the quality of the data. AstroDB includes all lab analytical data for Apollo samples that had previously been compiled in the MoonDB synthesis. Data from more than 800 references pertaining to samples from the Apollo Missions and lunar meteorites were already compiled as part of the MoonDB project and have been migrated to the new AstroDB.The &amp;lt;u&amp;gt;AstroMat Data Repository&amp;lt;/u&amp;gt;serves as a trusted repository, where researchers can publish and archive lab analytical data for any astromaterials, not only those for NASA collections.&amp;lt;/p&amp;gt; &amp;lt;p&amp;gt;AstroMat features graphical interfaces for users to search, access, explore, visualize, analyze, and contribute data (AstroSearch, AstroRef, AstroPlot, AstroDesk, AstroRepo) and machine-actionable interfaces that connect the databases to internal and external software tools (AstroAPIs, RepoAPIs). We encourage the community to advise and inform us on the usability and functionality of the interfaces in order for AstroMat to meet its goals of furthering planetary science research.&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt;
Social media as facilitator – a cultural and sociolinguistic analysis of hate speech discourse and performance in Japan

While intolerant, abusive and hateful speech online has received a lot of attention by researchers in social, media and communication studies, its linguistic aspects have yet to be thoroughly investigated. This book contributes to filling this gap by showcasing how a linguistic perspective has much to offer in unravelling exactly what is occurring. With a common goal to interrogate the linguistic aspects of negative online behaviours on different social media platforms and against different targets, the authors approached the phenomenon from a different methodological frameworks. While primarily interested in identifying, describing and understanding intolerant, abusive and hateful speech online thoroughly and comprehensively, they also had a common belief that their work could inform efforts to contain or mitigate the impact of negative online behaviours regardless of where they occur.Each chapter interrogates a different communicative practice in a specific modality on a range of online platforms in order to offer insights into different quantitative and qualitative approaches when it comes to the complexities of the linguistic analysis of negative online behaviours. The range of methodological frameworks and theoretical approaches utilized in the explorations into online discourses of racism, misogyny, homophobia/LGBQT+ rights and islamophobia/anti-immigrant discourses presented in this volume contribute towards a comprehensive understanding of the linguistic landscape of online hate. The studies in this volume analyse data from three very different countries, cultures and languages – Cyprus, Japan and Slovenia – which demonstrates that negative online behaviours are a global problem which cannot be ignored. Therefore, the findings of these studies have much wider implications.
Attribution Preservation in Network Compression for Reliable Network Interpretation

Neural networks embedded in safety-sensitive applications such as self-driving cars and wearable health monitors rely on two important techniques: input attribution for hindsight analysis and network compression to reduce its size for edge-computing. In this paper, we show that these seemingly unrelated techniques conflict with each other as network compression deforms the produced attributions, which could lead to dire consequences for mission-critical applications. This phenomenon arises due to the fact that conventional network compression methods only preserve the predictions of the network while ignoring the quality of the attributions. To combat the attribution inconsistency problem, we present a framework that can preserve the attributions while compressing a network. By employing the Weighted Collapsed Attribution Matching regularizer, we match the attribution maps of the network being compressed to its pre-compression former self. We demonstrate the effectiveness of our algorithm both quantitatively and qualitatively on diverse compression methods.
A Cognitive Protection System for the Internet of Things

Conventional cybersecurity neglects the Internet of Things' physicality. We propose a cognitive protection system capable of using system models to ensure command safety while monitoring system performance and develop and test a cognitive firewall and cognitive supervisor. This system is tested in theory and practice for three threat models.
A study on service quality expectation from electronics retail store using RSQS.

In the fast-changing environment where all the service sectors are having a ferocious competition with their close competitors, every service-based industry wanted to grab more attention and sales. They knew the key factor to success and Brand loyalty is as per the quality of service. This research paper studies the expectations of service quality from the consumer side and how the service provider specified in the electronics retail industry is delivering the same. Pre-sales and after-sales services and the quality of on-time sales services are on the utmost requirements of the customers nowadays.
A Novel Eye Gaze Estimation Method Using Ant Colony Optimizer

This paper addresses the eye gaze estimation problem in low-resolution images, using the low-cost camera in order to eliminate problems caused by infrared high-resolution imaging such as needing an expensive camera, complex setup, special light sources, and being limited in lab research environments. In the proposed method, the human face is detected with Ant Colony Optimization (ACO) algorithm, and then the Kirsch compass mask is utilized to detect the position of humans’ eyes. For iris detection, a novel strategy based on ACO algorithm, which has been rarely used before, is applied. The pupil is recognized by morphological processing. Finally, the extracted features, obtained from the radius and position of the irises of the pupils, are given to the Support Vector Machine (SVM) classifier to detect the gaze pointing. In order to receive assurance of the reliability and superiority of the newly designed ACO algorithm, some other metaheuristic algorithms such as (GA, PSO, and BBO) are implemented and evaluated. Additionally, a novel dataset, comprising 700 images gazing at seven different major orientations, is created in this research. The extensive experiments are performed on three various datasets, including Eye-Chimera with 92.55% accuracy, BIOID dataset with 96% accuracy, and the newly constructed dataset with 90.71% accuracy. The suggested method outperformed the state of the art gaze estimation methods in terms of the robustness and accuracy.
Agile practices and innovation performance : Applying SEM model analysis at a telecommunication company

Background Agile structured processes have become the norm in its originating industry of software development. Considered synonymous with corporate flexibility and capacities to rapidly respond to ...
Load balancing approach in cloud computing using PSO and GA

Cloud computing is an emerging technology in the information technology field, among thevarious prototypes of distributed computing. It is with no doubt leading to a new prospect of changes in variousconcepts mainly Information technology management, environment of distributed computing, virtualization thatresults in the reliability and security anxiety of the customers or users. Its area is growing and expanding both inthe industrial as well as academic research. It is a leading technology that allows the allocation of the resourceswith combination of parallel computing and distributed networks.