Reviewerly/exHarmony huggingface dataset:
Research on cost budget model of information security based on Game Theory

In the face of the widespread use of information technology today, the information security problem has begun to receive extensive attention. In this paper, based on game theory, the cost budget model of information security was studied and analyzed, and the minimax fuzzy game model was proposed. In this model, evidence theory was used to describe the fuzziness of information, and the minimax regret principle of acceptable income was introduced to avoid unacceptable gains and excessive pessimism. The minimax fuzzy game model was applicable to multiple attackers and multiple defenders, and attackers and defenders need not observe their strategies first, so that they can act at the same time.
Text-to-braille translator

Braille is a form of written language for visually impaired people, in which characters are represented by patterns of raised dots that are felt with the fingertips. The discerning person can not usually read Braille information without training. Therefore, many parents have difficulty in educating their blind children. Next, teachers that are engaged in special education have to depend on Braille translator when marking Braille papers or assignments. Therefore, this system proposed are aiming to help the people who have zero knowledge in Braille code to learn the code. This system will also have better prospects for application, shorten the time taken to translate and provide assistance to the beginners in learning Braille characters.
Deploying Privacy as a Service within a Cloud-Based Framework

Continuous monitoring and risk assessment of privacy violations on cloud systems are needed by anyone who has business needs subject to privacy regulations. Compliance to such regulations in dynamic systems demands appropriate techniques, tools and instruments. As a Service concepts can be a good option to support this task. Previous work presented PRIVAaaS, a software toolkit that allows controlling and reducing data leakages, thus preserving privacy, by providing anonymization capabilities to query-based systems. This short paper discusses the implementation details and deployment environment of an evolution of PRIVAaaS as a MAPE-K control loop within the ATMOSPHERE Platform. ATMOSPHERE is both a framework and a platform enabling the implementation of trustworthy cloud services. By enabling PRIVAaaS within ATMOSPHERE, privacy is made one of several trustworthiness properties continuously monitored and assessed by the platform with a software-based, feedback control loop known as MAPE-K.
Aprendiendo a través de la enseñanza: programa enfocado a la enseñanza de la lógica de programación desde etapas tempranas en escuelas públicas apoyado por aprendizaje-servicio.

Teachers’own experiences allows them to select appropriate strategies and learning methodologies to design activities that would allow students to stay motivated and achieve the learning objectives of the course. This represents a challenge with the new generation of students that are easily distracted, have little tolerance and patience , and are used to solving problems quickly by simply looking up the information required through an internet search. Before starting the academic year, teachers have to take into account the necessary technological resources to use, in addition to having r edesigned a course according to the institutional pedagogical model, without ignoring their experience in the subject matter. Incorporating the paradigm of learning through teaching, linking it with the service learning methodology and various challenging activities, has an impact not only on technical training but also on the all around education of the students. Better results are achieved in terms of efficiency, effectiveness and quality, as well as boosting students’ commitment and well being, thus esta blishing a good correlation between the student's interests and what we expect them to learn. The main protagonists are the students who teach and learn during the semester, gradually growing in knowledge, managing to construct knowledge themselves thanks to the activities carried out in class, at home and those associated with the service, whilst also benefitting a community with certain needs.
Graph-Based Tools for ECM Search Result Analysis to Support the Ideation Step

Enterprise Content Management tool (ECM) is defined as the technologies, tools, and methods used to capture, manage, store, preserve, and deliver content. Using ECM in the ideation step of the innovation process may enhance the creativity of users to create new knowledge. In this paper, we discuss how to access this large amount of information efficiently without overwhelming users which may decrease their creativity. The purpose of this work is to avoid this situation by replacing the classical representation of ECM results with a graphical representation using graph theory. The advantages of this approach for visualizing and analyzing the connection between contents are discussed.
Pengaruh “Push-Pull”, “Kriminalitas”, “Frotteurisme /Frotteuris” Pelecehan Seksual Terhadap Minat Masyarakat Menggunakan Transporstasi Berbasis Online

Bus Rapid Transit (BRT), transportasi berbasis online, “Push-Pull”, Kriminalitas, “Frotteurisme /Frotteuris”. ABSTRACT One of the public transports that has grown in urban areas is Busway which is the Rapid Transit Bus (BRT) transportation system. With a low price of Rp 3,500 per passenger can use this transportation of various travel routes in accordance with the corridors that have been prepared. Crowded conditions in the busway can trigger crime, criminality and even sexual abuse. Sometimes unnoticed passengers suffer from sexual harassment being felt or held while busway conditions are crowded. Push-Pull between passengers is often carried out, both material crimes (Criminals) and Sexual Crimes (
Implementation of Contextual Learning Based on Lesson Study Model

This study aims to improve student achievement and activities in library management courses at the elementary teacher education study program. As practical learning, contextual learning will be implemented involving activities of surveys and practicum. This research used a qualitative approach with action research based on lesson study design in the cycles of plan, do, and see. Results of the first and second cycle showed that student achievement under contextual learning model increased. This was assessed through test scores obtained by the students.
SMART CRAWLER-A TWO STAGE FRAME WORK FOR CRAWLING DEEP WEBSITES

A web Search is a program, which automatically traverses the web by downloading documents and following links from page to page. They are mainly used by web search engines to gather data for indexing. Web Search is also known as spiders, robots, worms etc. In this proposed project the web search program acts as an smart crawler application where the crawling of the pages is done not by the overall page rank (i.e. Overall total page’s rank count visited by users),but the pages are crawled based on individual page count of individual URL’s.The proposed smart application is used to measure the individual page traffic accurately and is mainly useful for Web–Masters to maintain the traffic of each and every web page in very sophisticated manner. As this application requires internet connection, the internet connection should be of enough bandwidth for processing of the Web pages URL’s accurately. In this current application we can find out the count of successfully crawled URL’s as well as failed URL’s successfully based on the pages which were crawled by internet traffic. In this project BFS algorithm also known as “Breadth First Search” is used, for crawling the web pages based on the individual page rank and there will be no back traversing of URL’s, so this will give unique results. As an extension the monitoring of count of failed URL’s and count of successful URL’s crawled in this application has also been included, this gives more importance for the application of each and every URL.
Dealing with Functions of Several Variables

This chapter contains introductory notions referring to the functions of several variables. We learn how to find images and preimages of various sets and deal with the limits and continuity in more than one dimension.
Narrative Pedagogical Agents to Enhance Reading Strategies in Geo-Histor Multimedia Learning Environment

This study focuses on the design and implementation of three narrative pedagogical agents, which act as descending guidance assistants for adolescent student-users of the Geo-Histor multimedia learning environment. The goal of creating and using pedagogical agents was to empower students to use strategies before, during, and after reading. The pedagogical agents that emerged from the bibliographic inquiry and students' choices were anthropomorphic, cheerful and attractive animations, with real human voice, discussing with humor and representing real-life peer grouping. Agents provide declining guidance to students through dialogues implementing reading strategies included as statements on the Metacognitive Awareness of Reading Strategies Inventory (Marsi 1.0). Each agent builds his character, and thus his speech, based on the fact that he represents another kind of knowledge, declarative, procedural and conditional. In the following study, comparisons were made between two groups of students who used or did not use narrative pedagogical agents for their studying. The findings show that when students use agents, they make significant progress in using reading strategies. Finally, a comparison between boys and girls showed that the reported use of strategies is greater among girls than boys.
CONNECTEDNESS OF INVERSE LIMIT OF GENERALIZED TOPOLOGICAL SPACES

is to study the connectednes of inverse limit of generalized topological spaces introduced by Császár in [3].
Sul manoscritto testamentario di Bartolomeo Berrecci: uno sguardo storico-linguistico

The following article presents the analysis of the last will of the most famous Renaissance sculptor and architect in Poland: the Tuscan Bartolomeo Berrecci, creator of the Sigismund Chapel in the Wawel Cathedral in Kraków.After a brief historical-cultural introduction where the artist's arrival in Poland and his function at the court of King Sigismund I the Old are presented, the transcription of the artist's testament, written by his own hand in the Italian language and recorded in the archives of the ancient city of Kazimierz, is included, followed by an in-depth analysis.At first, the analysis will concentrate on content and structure: the characters and properties mentioned in the document will be presented along with the document's form.Subsequently, morphological and terminological analyses will be carried out, which will confirm the use of the Florentine language of the late-fifteenth and early-sixteenth centuries, as well as the presence of specific terms related to the Polish reality in which the artist lived for almost 20 years, giving the document historical and linguistic value, in addition to classic values that are spiritual and notarial.
Pattern Recognition Using Neural Networks

Due to its various applications, such as security systems, medical systems, entertainment, etc., face recognition has also been identified as one of the main research topics. The preferred method of human identification is face recognition: natural, robust and non-intrusive. A wide range of systems require reliable personal identification schemes to either confirm or determine the identity of a requester. The purpose of these schemes is to ensure that only a legitimate user and no one else accesses the rendered services. For example, secure access to buildings, computer systems, laptops, mobile phone and ATMs is included. These systems are vulnerable to an impostor’s will in the absence of robust personal recognition systems. This article has developed and shown the human face identification system using artificial neural networks, which reflects that the face recognition rate for 40 individuals shows results for 400 frames in the AT&T database at 85.5 percent
Loglinear Model Formation using Hierachial Backward Method

The loglinear model is a special case of a general linear model for poissondistributed data. The loglinear model is also a number of models in statistics that are used todetermine dependencies between several variables on a categorical scale. The number ofvariables discussed in this study were three variables. After the variables are investigated,the formation of the loglinear model becomes important because not all the modelinteraction factors that exist in the complete model become significant in the resultingmodel. The formation of the loglinear model in this study uses the Backward Hierarchicalmethod. This research makes loglinear modeling to get the model using the HierarchicalBackward method to choose a good method in making models with existing examples.From the challenging examples that have been done, it is known that the HierarchicalReverse method can model the third iteration or scroll. Then, also use better assessmentmethods about faster workmanship and computer-sponsored assessments that are used moreefficiently through compatibility testing for each model made
Large Scale Time Series Analysis for Infrastructure Reliability

Performance, reliability and efficiency of infrastructure systems are instrumental to high quality user experience at Facebook. Extensive time series logging has been implemented to monitor the health of various infrastructure systems. CPU usage of internal services (e.g., large number of machine learning models built by different teams), network traffic between internet service providers and Facebook data centers, video streaming KPI of live broadcasts generated by daily active users, just to name a few. Many methods and tools are available to analyze the logs at single time series level, for instance, time series forecasting and (contextual) anomaly detection. Relatively little is done to address an emerging use case – identifying similar/outlier instances from a large collection of time series. In this poster, we demonstrate the design and implementation of a generic framework to accomplish such needs. We discuss two real-world implementations of the approach: (i) auto-scaling the inference capacity for machine learning (ML) models, and (ii) detect video ingestion quality outliers across Facebook live broadcasts. Specifically, we fill the gaps in existing tools (and/or external, off-the-shelf alternatives) by proposing a method which is interpretable, generalizable and scalable.
Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task

The deep reinforcement learning method for human-robot cooperation (HRC) is promising for its high performance when robots are learning complex tasks. However, the applicability of such an approach in a real-world context is limited due to long training time, additional training difficulty caused by inconsistent human performance and the inherent instability of policy exploration. With this approach, the robot has two dynamics to learn: how to accomplish the given physical task and how to cooperate with the human partner. Furthermore, the dynamics of the task and human partner are usually coupled, which means the observable outcomes and behaviors are coupled. It is hard for the robot to efficiently learn from coupled observations. In this paper, we hypothesize that the robot needs to learn the task separately from learning the behavior of the human partner to improve learning efficiency and outcomes. This leads to a fundamental question: Should the robot learn the task first or learn the human behavior first (Fig. 1)? We develop a novel hierarchical rewards mechanism with a task decomposition method that enables the robot to efficiently learn a complex hierarchical dynamic task and human behavior for better HRC. The algorithm is validated in a hierarchical control task in a simulated environment with human subject experiments, and we are able to answer the question by analyzing the collected experiment results.
Cultivating reading self-efficacy

This study is a longitudinal investigation, conducted over one academic year, into the role that extensive reading (ER) and reading strategies play in the cultivation of reading self-efficacy in an English as a foreign language (EFL) context.The study also examined how changes in reading self-efficacy relate to changes in reading proficiency.The participants (N = 322) were non-English major students at a university in Japan.The data for the study was obtained through a battery of Likertscale questionnaires and reading comprehension tests.The results revealed that a combination of reading strategy intervention and participation in an extensive reading program would lead to greater gains in reading self-efficacy which was also later shown to translate into gains in reading comprehension.
Acoustic analysis of the speaker cover

Generally, a mesh cover is attached to the front of the speaker to protect the speaker. It was confirmed by an experiment that the sound pressure changes depending on the distance between the speaker and the cover, the thickness of the cover and so forth. I introduce the result that calculated this phenomenon using FE model. The influence of the cover was confirmed that below a certain frequency, the sound pressure is increased by the resonance phenomena and sound pressure is reduced by the sound insulation effect in the frequency range above that. Similar results were obtained when the thickness of the cover was changed. We also report the calculation results when the hole diameter is changed and when the distance between the cover and the air is changed.
Analytical feature extraction for Individual assessment through Machine Learning in Interface based Interview

This paper presents a review on various techniques on predicting the interview performance autonomously using machine learning techniques and analyze the audio-visual features using an interface-based video interview by a virtual agent. Different scenarios are studied and compared for a better understanding of human behavior in case of the video interview. In this paper, the existing optimization techniques are reviewed according to their methodologies and advantages. Based on the review, research gaps are observed and the references are provided for further research work.
Communicating the complexity of children’s needs and aspirations to the designers of info-graphics

Info-graphics are designed to make complex information accessible.They are visual representations of data designed to convey information in a succinct and efficient way [1] (Newsom and Haynes, 2004;Smiciklas, 2012).An example may be a pictogram or public safety sign designed to warn people of a hazard.Such communication devices are currently developed through designercentered, adult-led processes.While many adults are able to interpret public signs correctly, [2] Siu et al. ( 2014) question whether children understand them, even when they are exposed to public signs in child-friendly spaces such as playgrounds or schools.In a bid to enhance sign design and improve children's understanding of infographics, [3] Siu et al. ( 2017) make a case for including children in their design, as children's drawings can give new insights.However, the challenges of engaging children as co-designers in infographic research are yet to be addressed.In this paper, the author reflects on her involvement in the Together through Play project [4] (Holt et al., 2014), a three-year, Leverhulme Trust funded project aimed at developing understanding of children's needs and aspirations through the process of co-design.With the intention of addressing the power imbalance between adults and children in co-design research, the researcher employed and adapted methods of cooperative inquiry, an approach to creating new designs for children, with children [5] (Druin, 1999).This paper focuses specifically on the participatory approaches, strategies and methodologies employed to encourage designers to truly listen to the voices of children, and their relevance to visual design research.Twenty-two children aged 7 to 11 were recruited to participate in the study from four UK-based mainstream Primary Schools.At least one child participant from each school had a recognised physical impairment and at least one of their coparticipants did not.Six disabled children and their non-disabled peers took part in the study, with four of these children having physical impairments relating to cerebral palsy.One child had dyspraxia and one child had a hearing impairment.Undergraduate students from Product Design and Engineering programmes at the University of Leeds were recruited to work alongside the children as codesigners.Their involvement included realising the children's design ideas as prototypes and producing a series of critical artefacts as tools for discussion. 68
APPLICATION OF IMAGE PROCESSING TO EDUCATIONAL PHYSICS EXPERIMENTS AND INTERDISCIPLINARY STUDENT MOTIVATION

The paper presents an automated educational system for fast physics experiments using image processing technologies. The article shows how image processing techniques help students perform better in physical physics experiments and obtain more accurate results compared to traditional methods. The experimental system used image processing technologies, programming in LabVIEW View, automated data recording, and image processing of experimental results using MATLAB. The experimental system demonstrates students' professional specializations such as mechatronics, mathematics, and programming. The developed system allowed to improve the precision of mechanics experiments reduced the time needed to experiment and allowed automatic processing of the data accounting. The experimental physics laboratory system has already attracted specific student interest and, according to the author practice, has increased student motivation as students see realistic prospects for their future abilities. The system was created by higher education students, and includes physics, image processing technologies, not only the knowledge of electronic engineering specialization but also programming knowledge. Students of the final courses designed the experimental system, and the physics course experiments are carried out in the first course, showing collaboration between different professions and different course students, knowledge adaptability, and interdisciplinary ties.
Developing Assamese Information Retrieval System Considering NLP Techniques: an attempt for a low resourced language

This paper engulfs the activities involved in developing a Monolingual Information Retrieval (IR) system for an Indo-Aryan language- Assamese. In a multilingual country like India, where 23 official languages exist, the task of digitizing local language contents is growing tremendously. To meet the need of each individual’s relevant information, monolingual Information Retrieval in own language is very essential. The work aims to develop a search engine that retrieves relevant information for the fired query in one's respective language. Various Linguists, Researchers collaborated with the work, provided valuable information and developed various important resources. Many informative resources, language resources, tools & technologies were research, analyze, develop and applied in implementing the overall pipeline. The search engine is frame worked on open search platforms- Solr and Nutch with NLP applications embedded in it. Computational Linguistics or Natural Language Processing (NLP) enhances the performance of the IR system. Each phase of the system is being elaborately described in this paper and explained step-wise. This work is a remarkable contribution to Assamese language technology and an important application of NLP.