Reviewerly/exHarmony huggingface dataset:
INSTITUTE OF UNIVERSITY: PAST, PRESENT, FUTURE

In this article the question of the phenomenon of the environment, the intellectual center, in which the development and training of individuals and society for change is taking place, is the university institute. The Institute - as an organized system of social roles, which is a permanent and significant element of society and focuses on the basic needs and functions of the person. The models of the university are covered in historical retrospect, in particular the model of the research university of V. Humboldt, Napoleonic and Newman. The views of scientists on the model of university education with the prospect of finding conditions and promoting their implementation for the sake of the successful activity of the modern university in the new century of knowledge are considered. The emphasis is placed on the importance of the humanitarian component of education, the restriction of which will lead to irreversible consequences in the future development of society.There are many educational problems in Ukraine related to the prospects of building a world-class university. However, the current scientific potential of leading specialists in the process of reforming university education is making a great effort to bring higher education in line with modern world standards.University education is a specific cultural and social practice. Understanding the traditions and modern civilizational challenges gives you an understanding of finding the best opportunities to balance the successful design, managing your life, welfare, vision of what we can do, what schools, higher schools, education can do, in order to combine the heart and mind with the formation of a society of happy people.
A Framework for Testing Web Applications for Cross-Origin State Inference (COSI) Attacks

In a Cross-Origin State Inference (COSI) attack, an attacker convinces a victim into visiting an attack web page, which leverages the cross-origin interaction features of the victim's web browser to infer the victim's state at a target web site. COSI attacks can have serious consequences including determining if the victim has an account or is the administrator of a prohibited target site, or if the victim owns sensitive content hosted at the target site. In this paper, we perform the first systematic study of COSI attacks and present the first tool for detecting them. We study the mechanisms behind 25 COSI attacks, classify them into 10 leak methods and 38 attack classes, identify a novel COSI attack class based on window.postMessage, and design a novel approach for detecting COSI attacks. We implement our detection approach into Basta-COSI, a tool that produces attack web pages that demonstrate the existence of COSI attacks in a given target web site. We apply Basta-COSI to four popular stand-alone web applications (GitHub, GitLab, HotCRP, OpenCart) and five live sites, (linkedin.com, blogger.com, amazon.com, drive.google.com, pinterest.com), fnding COSI attacks against each of them. Finally, we discuss the countermeasures that can be taken by browser vendors and site administrators against COSI attacks.
FCPL Curated Content: eBooks: Inside the Industry: Libraries are treated differently

Everything you ever wanted to know about eBooks but were afraid to ask. Comparisons between how ebooks work with libraries versus consumers as well as how print differs from digital.
QuBits, an Interactive Virtual Reality Project and Compositional Space for Sound and Image

Author(s): Kulpa, Jonathan Jeffrey | Advisor(s): Campion, Edmund | Abstract: AbstractQuBits, an Interactive Virtual Reality Project and Compositional Spacefor Sound and ImagebyJonathan KulpaDoctor of Philosophy in Music CompositionUniversity of California, BerkeleyProfessor Edmund Campion, ChairThis paper describes the QuBits project, a virtual reality (VR) environment created by the composer, offering an expanded medium for musical experience with integrated space and visuals. The QuBits VR environment is the essential supporting material for the dissertation and this paper provides a full description of the project.The environment was designed to explore a musical aesthetic valuing sound mass, spatial sound, evolution, and algorithmically generated sonic structures. Additionally, the user of the VR system plays a key role in shaping these musical elements. The user first must discover what behaviors are possible by exploring and through chance encounters. They can then shape each discovered behavior with nuance if they choose. In the VR environment, each sound has a corresponding visual component. To achieve this, a system was built with two software platforms, one for digital sound processing and another for 3D graphics and algorithmic event generation. These platforms communicate via Open Sound Control (OSC). The sounds are a mix of real world sampled sound, granular synthesis, and real-time generated synthetic sound. The QuBits VR environment represents the results of this methodology. Pros and cons of the methodology are discussed, as well as implications for future projects.
Smart City Implementation: Integration of Villages and Cities in Purwakarta Regency, West Java Province

Abstract&#x0D; This study aims to analyze the implementation of Smart City that integrates villages and cities in Purwakarta Regency, identify and analyze any inhibiting factors that influence the development process of the City of Purwakarta towards the Smart City, identify and analyze the efforts of the Purwakarta Regency government in realizing Smart City. The research method used in this study is a qualitative research method with a descriptive approach.. The results showed that the smart city that was implemented in Purwakarta Regency focused more on the use of information technology to improve services to the community, meaning this concept was more accurately referred to as a digital city. Some programs that have been implemented by the Regional Government are the first steps to realize Purwakarta Regency as a smart city. Barriers and obstacles faced include: not yet comprehensive existing policies to accommodate the problems faced in the implementation of smart cities, ICT human resources are still limited both in quantity and quality, budget limitations cause the existing infrastructure is not optimal, especially in villages, interoperability is not optimal, and blueprint has not been prepared comprehensively. Efforts that have been made by the Purwakarta Regency government include: Several legal products both regent regulations and regent instructions have been issued to support the implementation of smart city, ICT competency enhancement, application interoperability in each OPD, budgeting for device maintenance, Budgeting for developing systems, and budgeting for improving the welfare of ICT employees.&#x0D; Keywords: Village and City Integration, Implementation of Smart City, Digital City, ICT Infrastructure
Design and Research of Data Service Platform Based on RESTful

Abstract Based on the analysis of research on existing data service technology, in view of the existing problems of data service release and data access efficiency. In this paper, a design scheme of test data service based on RESTful is proposed. The system implements abstract description and encapsulation for typical application scenario, real-time storage, which applies JSON data exchanging and releases REST service with standard interface. Application result shows that the proposed Data Service Platform Based on RESTful scheme benefits a lot in resource sharing and service extension in Experimental Data Management System.
Implementation of a Single Sign-On System with Open Source Software

Single sign-on systems allow users to log in to a number of heterogeneous software applications and computers with the same set of credentials (e.g. username and password). Despite the advantages of these systems concerning user experience, security, policy enforcement and others, they are rarely implemented in small organizations. This thesis focuses on the implementation of a web single sign-on system in a small organization. There are three main components in this specific system: a LDAP server, the SSO server itself and a user management application. The former two are off-the-shelf software components that had to be selected, installed and configured, while the latter is a custom application. Only open source applications and libraries have been considered and deployment and management of the entire system has been automated with configuration management tools. Almost all of the scripts, configuration files and code created for this project have been publicly released under free and open source licenses, along with documentation that explains how to use most of them.
Workshop II: Introduction to deep learning for image analysis

A hands on workshop on machine learning techniques for image analysis. In this workshop we will create a new deep network for image classification by defining the network architecture and training the network from scratch. Also we will use transfer learning to take advantage of the knowledge provided by a pretrained network to learn new patterns in new data.
PENGARUH METODE JOYFULL LEARNING TERHADAP HASIL BELAJAR ILMU PENGETAHUAN ALAM PESERTA DIDIK KELAS IV SEKOLAH DASAR

The purpose of this study was to determine the presence or absence of empirical data about the method of joyfull learning on learning outcomes in science. This research was conducted in the second semester of the 2018/2019 school year. The method which was used is experimental method with Posttest-Only Control Design. Samples was taken with Simple Random Sampling technique by selecting one or several groups randomly through images, so that the samples chosen in this study are Menteng Atas 01 public elementary school, South Jakarta with the number of respondents 44 students. Data collection technique using achievement test of 25 questions and observation sheet. Data analysis technique used t-test. Based on calculation of uji-t, calculated with result of tcount of 3.70 >  ttable 1.68 so H0 rejected and H1 passed, in brief implementation of joyfull learning method has a significant effect on the learning outcomes of fourth grade elementary school students. Therefore, joyfull learning method can be alternative learning to escalate learning outcomes students
Förstärkt verklighet med ARCore : Utveckling av en förstärkt verklighetsapplikation i Android med Kotlin och Azure

The technology of “augmented reality” has existed in an experimental stage since the early 1990s, but it is not until around year 2010 that commercial use in the form of both hardware and software ...
Acceptance of Instagram among the millenials in UiTM Kampus Bandaraya Melaka / Abdul Wafi Zamri

This study aimed to examine the factors of Instagram application usage among the millenials in UiTM Kampus Bandaraya Melaka. The independent variables were social influence, trustfulness and performance based on Instagram application usage among the millenials in UiTM Kampus Bandaraya Melaka. A set of questionnaire was adopted from past research to collect the primary data from respondents about the relationship the millenials with the Instagram application usage. Convenience sampling was used for this study. A total of 110 respondents had answered the questionnaires. The overall findings of the research indicate that based on the result, that all the three indipendent variables affects the accpetance of Instagram application usage among the millenials in UiTM Kampus Bandaraya Melaka. As conclusion, we can see that the Instagram application usage is also useful in the educational medium to improve the users’ attention instead of on scrolling only for feeds that will help them increase their knowledge much more than before.
A Construction Idea of an Application System Based on Simple Data Table

Abstract Small databases (transcripts, address books, etc.) have fewer associated services, and the performance requirements of interactivity, concurrent connection and response time are not high. They can display data statically by spreadsheet or HTML pages, and can also construct simple information systems to display data dynamically. This paper discusses the idea of constructing application system based on simple data table, reducing the construction cost of information system and improving the convenience of data migration and maintenance management.
k-Abelian pattern matching: Revisited, corrected, and extended

Two strings of equal length are called k-Abelian equivalent, if they share the same multi-set of factors of length at most k. Ehlers et al. [JDA, 2015] considered the k-Abelian pattern matching problem, where the task is to find all factors in a text T that are k-Abelian equivalent to a pattern P. They claimed a number of algorithmic results for the off-line and on-line versions of the k-Abelian pattern matching problem. In this paper, we first argue that some of the claimed results by Ehlers et al. [JDA, 2015] contain major errors, and then we present a new algorithm that correctly solves the offline version of the problem within the same bounds claimed by Ehlers et al., in O(n+m) time and O(m) space, where n = |T| and m = |P|. We also show how to correct errors in their online algorithm, and errors in their real-time algorithms for a slightly different problem called the extended k-Abelian pattern matching problem.
A Comparison of Text Classification Techniques Applied to Indonesian Text Dataset

In organization, statement contained opinion and complaint to a service or program by it organization. can be proceed using machine learning and the result can be used by organization to improve and enhance their quality. This research attempted to classify the reports from social media based on complaint and non-complaint using machine learning algorithm named Logistic regression (LR) and eXtreme Gradient Boosting (XGBoost). Logistic Regression model using CountVectorizer feature extraction and TfidfVectorizer. Moreover, the XGBoost algorithm uses multiple parameters so that it can be improved by tuning the parameters, i.e. eta or learning rate, gamma, max_depth, min_child_weight, subsample, colsample_bytree and alpha. As the result, the best value for XGBoost with parameter are 'reg_alpha': 0.01, 'colsample_bytree': 0.9, 'learning_rate': 0.5, 'min_child_weight': 1, 'subsample': 0.8, 'max_depth': 3, 'gamma': 0.0, in wich the computational time is 13870.012468 and the best accuracy that achieved is 0.927943760984. Furthermore, the performance evaluation results for Logistic Regression using TfidfVectorizer and CountVectorizer feature extraction are 0.9181 and 0.9356.
High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks

In this paper we propose accelerating live rendering of flame using generative adversarial neural networks. The proposed method targets entertainment and simulation-based training industries whose demands for high fidelity and high frame rate increases steadily. The proposed approach takes image frames rendered with low voxel resolution (8 × 8 × 8 voxels at 90 FPS) and produces image frames equivalent to imagery produced from high voxel resolution (64 × 64 × 64 voxels) typically rendered at 3 FPS. The error was evluated using the structural similarity image metric (SSIM). The average error between generated image frames and the ground truth recorded 92:7%±4:6%.
Featured Based Segmentation Method for Buliding Millimeter Wave Radar Gesture Recognition Data Sets

Gesture recognition based on artificial neural network is an important application of the millimeter wave radar. In addition to extracting gesture features and constructing neural networks, the establishment of effective dynamic gesture data sets is also the direction worth paying attention to in gesture recognition research. In order to solve some problems caused by fixed radar observation time and multiple measurements of single gesture during the establishment of gesture data set, six gestures were tested in a single radar observation. Combining the relationship between actual gesture motion and speed, the data file containing six gestures is divided into six sets containing only one specific gesture which will be used in the gesture recognition system of millimeter wave radar based on neural network finally.
Enhancing Precision in Gesture Detection for Hand Recovery After Injury Using Leap Motion and Machine Learning.

This paper presents an improved solution for detecting gestures with a better precision using the Leap Motion sensor and Machine Learning support. A neural network is trained to recognize a hand rotation gesture expressing the grade of recovery, with a supination and pronation exercise. The supination-pronation movement is divided into 4 levels because the users are not usually able to perform a complete rotation gesture in hand recovery after injury. The neural network is trained with data representing the hand rotation angle measurements on the x, y and z axes. The Neural Network training is based on the Tensorflow library. 3 tests were carried out to test the network and eventually a 96% gesture-detection accuracy was achieved.
Exploring Students’ self-confidence on their speaking skill subject student of Al-Hidayah Islamic Boarding School at the first year students senior high school Rangkasbitung in 2019”(

Exploring Students’ self-confidence on their speaking skill subject student of Al-Hidayah Islamic Boarding School at the first year students senior high school Rangkasbitung in 2019”( , 2019, “ Exploring Students’ self-confidence on their speaking skill subject student of Al-Hidayah Islamic Boarding School at the first year students senior high school Rangkasbitung in 2019”( Undergraduate Research Paper, Department of English Education, Faculty of Education and Teacher Training, The state Islamic University of Studies, “ Sultan Maulana Hasanuddin Banten”). ABSTRACT This reserach investigates the Explooring students’ self-confidence on their speaking skill, specifically students self-confidence in speaking English from students senior high school at Al-Hidayah Islamic Boarding school Rangkasbitung in 2019/2020. This research is conducted based on the main problems 1) How is the first year students senior high school in Al-Hidayah Islamic Boarding School ’ self-confidence in speaking ?. 2) What effort are made by the Engliish teacher to improve students’ self-confidence?. To answer the question, the researcher collect the data from 20 students. The researcher gives the questionnaire for students’. And questionnaire consists of ten questions that must answered by the students’. Since the reserach the researher uses qualitative research. The data is collected through interview between the researcher and the English Teacher. The result of the research that has been done in the first grade of senior high schooll at Al-Hidayah Islamic Boarding School in Rangkasbitung most of students have with low confidence compared with students with high confidence is coused by several factors such as do not enjoy learning English, Lack of Sel-confidence, fear of making mistakes, Shyness, Luck of motivation, Luck Vocabulary. The characteristics students with high confidence such as tehere are enjoy in Learning and speaking English, use eye contact when speaking, they are ambitious, they have learned communicate. And there are some effort are made by the English teacher to improve students’ self-confdence in speaking such as teracher actions to improve students self-confidence, Tecaher strategies in teach English, Teacher methood in English teaching. In reference to the result of the study, the writer recommends, especially in Exploring students’ self-confidence on their speaking skill, the students must try and try to speak English dont be shy, dont think about your mistakes in grammar or in pronounciation at speaking English. Because by accustomed to practice speaking English, your gramar and pronouncition will get better.
Testing a Slingram system on resistive Zn-Pb targets in Paracatu prospects, Minas Gerais State, Brazil

Although systems based on the electromagnetic method were developed to detect conductive targets, we present a case in a Pb-Zn prospect in Paracatu mining district where it was possible to confirm (potentially mineralized) resistive pods due to their electrical resistivity contrast with the dolomitic and phyllite host rocks.The pods are elongated, with dimensions of about 100 m along strike, dipping 50 to 10 m, and 4 m wide.The pods consist mainly of quartz, sphalerite, disseminated pyrite and minor galena and marcasite.Measurements with portable conductivity meter proved the pods are electrically resistive.Initial interpretations based on pseudo-sections have guided a series of drill-holes that confirmed the pods.Later, inverse Occam models proved to map reasonably well the saprolite, main rocks and faults/pods, except where resistivity contrast was not high enough.Comparison of measured data with those obtained by plates and prism modelling were not successful, which indicate that the geologic structure is too complex to be represented by simple models.Establishing the repeatability of data by different sensor separations (100 m and 200 m) and sampling rate (2 m and 10 m) was important to confirm detection of target ore and depth of deeper conductive rocks.
4 aana 1 paisa 2 daaam land on sale at Gothatar, Krishana Mandir, Kage

Land For sale In Gothatar, Ward No. 9, Kageshwori Manohara Municipality, Kathmandu, Pradesh 3 Nepal
Design and Implementation of an Object Learning System for Service Robots by using Random Forest, Convolutional Neural Network, and Gated Recurrent Neural Network

Inspired by the self-exploring learning approach, this paper proposes an object-learning system in which a robot interacts with objects to obtain their features and construct object concepts. The system consists of three kinds of features: interaction features, visual features, and intrinsic features. When the robot interacts with an object, it observes the changes in the object to obtain its interaction features. At the same time, the robot learns the visual features of the object. The intrinsic features are the properties of the object. Models of the relationships among the three kinds of features are constructed through an Artificial Bee Colony based Random Forest algorithm and a Convolutional Neural Network. The established models help the robot to predict the properties of new objects and to make decisions. Two experiments are constructed in this paper: the service-providing task and the stacking task. In the former, the robot decides on an appropriate object, using the object concept models, to accomplish an appointed task. In the second experiment, the robot uses a Gated Recurrent Neural Network to learn the stacking sequence of various objects. All the experimental results demonstrate that the robot can build object concept models by interacting with objects, and can utilize these models to accomplish various tasks.