Reviewerly/exHarmony huggingface dataset:
New Insights into Divide-and-Conquer Attacks on the Round-Reduced Keccak-MAC

Keccak is the final winner of SHA-3 competition and it can be used as message authentic codes as well. The basic and balanced divide-and-conquer attacks on Keccak-MAC were proposed by Dinur et al. at Eurocrypt 2015. The idea of cube attacks is used in the two attacks to divide key bits into small portions. By carefully analysing the mappings used in Keccak-MAC, it is found that some cube variables could divide key bits into smaller portions and so better divide-and-conquer attacks are obtained. In order to evaluate the resistance of Keccak-MAC against divide-and-conquer attacks based on cubes, we theoretically analyse the lower bounds of the complexities of divide-and-conquer attacks. It is shown that the lower bounds of the complexities are still not better than those of the conditional cube tester proposed by Senyang Huang et al.. This indicates that KeccakMAC can resist the divide-and-conquer attack better than the conditional cube tester. We hope that these techniques still could provide some new insights on the future cryptanalysis of Keccak.
STUDY OF SPATIAL ABILITIES IN HIGH-SCHOOL STUDENTS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 3759-3765ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0973Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
De-identifying Unstructured Medical Text and Attribute-based Utility Measurement

De-identification is a method by which the remaining information can not be referred to a specific individual by removing the personal information from the data set. As a result, de-identification can lower the exposure risk of personal information that may occur in the process of collecting, processing, storing and distributing information. Although there have been many studies in de-identification algorithms, protection models, and etc., most of them are limited to structured data, and there are relatively few considerations on de-identification of unstructured data. Especially, in the medical field where the unstructured text is frequently used, many people simply remove all personally identifiable information in order to lower the exposure risk of personal information, while admitting the fact that the data utility is lowered accordingly. This study proposes a new method to perform de-identification by applying the k-anonymity protection model targeting unstructured text in the medical field in which de-identification is mandatory because privacy protection issues are more critical in comparison to other fields. Also, the goal of this study is to propose a new utility metric so that people can comprehend de-identified data set utility intuitively. Therefore, if the result of this research is applied to various industrial fields where unstructured text is used, we expect that we can increase the utility of the unstructured text which contains personal information.
LibGuides: How to Find Company and Industry Information: Gale Business Insights Global

This guide will assist you in locating company and industry information using library resources.
SISTEM PAKAR PENELUSURAN KECERDASAN PADA ANAK DENGAN MENGGUNAKAN METODE FORWARD CHAINING

Artificial Intelligence(Artificial Intelligence) as the intelligence displayed by an artificial entity. Intelligence was create and out into a machine(computer) in order to perform expert work as humans. Expert systems area branch of AI that makes use of a special knowledge for problem resolution. Are included into the psychology of child development as well as changes in every aspect of the development is also related to determinants (determinant factors) that influence the genetic and environmental factors. Children's intelligence expert system is used search Forward Chaining method which is a method that performs inference techniques of reasoning toward a conclusion that there is a problem from the facts that occurred. Tracking system that uses intelligence in children is quite in accordancewith the method of forward chaining.This is evident by the absence of significant barriers in the preparation of this system, and the resulting knowledge system is also in accordance with the manual search.
[PDF] NCERT Solutions for Class 3 English Unit 8 Poem What's in the Mailbox?

NCERT Solutions for Class 3 English Unit 8 Poem Whats in the Mailbox? are part of NCERT Solutions for Class 3 English. Here we have given NCERT ...
Performance Study of Bat Algorithm Running on Embedded Hardware

Bat algorithm belongs to a class of swarm intelligence algorithms. Comparing to the other stochastic nature-inspired population-based algorithms, this has always been considered as computationally inexpensive. Due to its simplicity and effectiveness, it is very popular in scientific community by solving various optimization problems. However, not enough devotion has been performed on the behaviour of this algorithm running on embedded hardware. In this paper, we look for an answer about the performance of bat algorithm running on three different Raspberry Pi devices of limited performances. In line with this, we conduct a series of experiments by solving the benchmark suite consisting of 10 functions. Because of achieving the similar quality of solutions on all observed hardware, thus, the execution times have been measured.
Implementation of the digital image processing algorithms in grain-size analyzing system “GRANICS-STONES”

The article presents a system for estimating the fineness of pieces of crushed ore at the stage of medium and fine grinding. The processing of video images of crushed ore particles is described. The results of industrial tests of the system are given. High sensitivity of the system to variations of the grain size composition of crushed ore particles is mentioned.
Photonic Recurrent Ising Sampler

We present the Photonic Recurrent Ising Sampler (PRIS), an algorithm tailored for photonic parallel networks, that can sample distributions of arbitrary Ising problems. The PRIS finds the ground state of general Ising problems and probes critical exponents of universality classes. © 2019 The Author(s)
MOBILE DEVELOPMENTS TO SUPPORT LEARNERS IN MAINSTREAM EDUCATION

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 3921-3927ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1006Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
A recommender system using machine learning algorithms

Product recommendation is a part of e-business which is widely used in e-commerce. It gives the information related to the user searching query. The information extracted from the pattern of previously searched query which can be used into the relevant search prediction for the user. The development of a recommender system for products using a machine learning algorithm often has questions that must be evaluated, so software engineers have good idea about research efforts area. The system provides users to explore new products of their interests and has been using machine learning algorithms. There are number of machine learning algorithm for a recommender system described in the literature. This paper presents a review of the literature which analyzes the use of machine learning algorithms for product recommendation. It identifies the opportunities for researchers in the field of software engineering. The paper concludes that Bayesian and decision tree are widely used algorithms in product recommendation.
Impact of qubit connectivity on quantum algorithm performance

Quantum computing hardware is undergoing rapid development from proof-of-principle devices to scalable machines that could eventually challenge classical supercomputers on specific tasks. On platforms with local connectivity, the transition from one- to two-dimensional arrays of qubits is seen as a natural technological step to increase the density of computing power and to reduce the routing cost of limited connectivity. Here we map and schedule representative algorithmic workloads - the Quantum Fourier Transform (QFT) relevant to factoring, the Grover diffusion operator relevant to quantum search, and Jordan-Wigner parity rotations relevant to simulations of quantum chemistry and materials science - to qubit arrays with varying connectivity. In particular we investigate the impact of restricting the ideal all-to-all connectivity to a square grid, a ladder and a linear array of qubits. Our schedule for the QFT on a ladder results in running time close to that of a system with all-to-all connectivity. Our results suggest that some common quantum algorithm primitives can be optimized to have execution times on systems with limited connectivities, such as a ladder and linear array, that are competitive with systems that have all-to-all connectivity
TEACHING INNOVATION: OPINION AND ANALYSIS OF THE STUDENTS' ACADEMIC PERFORMANCE

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 4049-4052ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1029Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Guides & Tutorials: Interlibrary Loan and Document Delivery Services (ILL&DDS): What is ILL & DDS

Provide support to the PolyU community by obtaining literature beyond collections in the PolyU Library.
DIGITAL LITERACY: ASSESSING PERCEIVED DIFFERENCES AMONG COMPUTING STUDENTS FROM TWO NEARBY UNIVERSITIES

DIGITAL LITERACY: ASSESSING PERCEIVED DIFFERENCES AMONG COMPUTING STUDENTS FROM TWO NEARBY UNIVERSITIES
A Study on the Communication Education of University Using Classics and Modern Poetry

In this article, I used the Le deuxième sexe and the two poems to identify my female identity, and to expand the contents of the class by writing a column to draw prospects through reflection and alternative search. In order to solve the problems of discrimination and inequality experienced by women, it was necessary to find the cause and solution at the university education field. Especially, reading and writing based on reflective reasons from the viewpoint of feminism is more meaningful in that it is a humanistic search to grasp contemporary issues and actively explore the problems. From the perspective that humanities are based on fundamental reflections on human life, I think that classical reading and related text analysis to find the position of feminism would have been a useful instructional design for students to develop the power of insight into the world. In this context, the content of this book is designed as an attempt to communicate with the public to reflect on the inner complacency and establish a new identity through communication education designed on the subject of women. Through the learning process in this book, the learner will be able to reach the following educational value.BR First, by allowing learners to recognize the problems of women
Proses Metakognisi Siswa SMP dalam Menulis Ditinjau dari Gaya Belajar

This research aims to obtain describe of the metacognition process of junior high school students in writing based on the learning styles. Metacognition is the students’ knowledge or awareness of his own thought processes and outcomes. Metacognition in this research is seen from planning, monitoring, and evaluation of writing news text and exposition text. The topic of the news text and the exposition texts in this study are natural phenomena, cultural phenomena, and social phenomena, as well as the learning styles used are visual, auditory, and kinesthetic. The type of this research is descriptive with qualitative approach. The results of the research reffered that (1) students with visual learning styles, (2) auditory learning styles, and (3) kinesthetic learning styles use metacognition in planning ie understanding the structure of news text and exposition texts, setting goals before writing, setting strategies before writing, and making basic ideas for ease writing; implementation of the visual learning style of controlling the errors of writing and grammar, carefully expressing ideas according to the structure of the text while students with learning styles; implementation of an auditory learning style that expresses ideas but sometimes does not match the text structure; while the implementation of the kinesthetic auditory learning style is expressing ideas but not in accordance with the text structure; and evaluation is to check back, write, and rearrange the writing. Keywords: Metacognition, Learning Styles, News Text, Exposition Teks
UTILIZING WHATSAPP APPLICATION FOR TEACHING ENGLISH LANGUAGE: WHY AND HOW?

WhatsApp is one of the most popular messaging applications nowadays and it can be accessed by using smart phone, personal computer, and tablet. Most people prefer to use this application for communicating with other. This application also has invaded all aspects of life, especially in education field. However, this application has not been utilized optimally by English teachers in teaching English language, whereas WhatsApp is a potential media to help English teachers in teaching English language.  WhatsApp allows users to utilize its features to text, to call, and to send video, audio, links, location, document, pictures. In this article, the writer will explain about why WhatsApp is a potential media tool for teaching English language and how to use WhatsApp in teaching English language. In brief, the writer expects that utilizing WhatsApp can help English teachers and students in teaching and learning English language and can improve students' English ability. Key words: WhatsApp, English language teaching, mobile phone technology
ExpTime Tableaux with Global Caching for Hybrid PDL

We present the first direct tableau decision procedure with the ExpTime complexity for HPDL (Hybrid Propositional Dynamic Logic). It checks whether a given ABox (a finite set of assertions) in HPDL is satisfiable. Technically, it combines global caching with checking fulfillment of eventualities and dealing with nominals. Our procedure contains enough details for direct implementation and has been implemented for the TGC2 (Tableaux with Global Caching) system. As HPDL can be used as a description logic for representing and reasoning about terminological knowledge, our procedure is useful for practical applications.
MASTER PROGRAMS FOR INTERNATIONAL STUDENTS IN RUSSIA: BARRIERS AND CHALLENGES TO OVERCOME

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 2942-2945ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0785Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
On the Winograd Schema: Situating Language Understanding in the Data-Information-Knowledge Continuum

The Winograd Schema (WS) challenge, proposed as an alternative to the Turing Test, has become the new standard for evaluating progress in natural language understanding (NLU). In this paper we will not however be concerned with how this challenge might be addressed. Instead, our aim here is threefold: (i) we will first formally „situate‟ the WS challenge in the data-information-knowledge continuum, suggesting where in that continuum a good WS resides; (ii) we will show that a WS is just a special case of a more general phenomenon in language understanding, namely the missing text phenomenon (henceforth, MTP) - in particular, we will argue that what we usually call thinking in the process of language understanding involves discovering a significant amount of „missing text‟ - text that is not explicitly stated, but is often implicitly assumed as shared background knowledge; and (iii) we conclude with a brief discussion on why MTP is inconsistent with the data-driven and machine learning approach to language understanding.
The logic of data-sense: thinking through Learning Personalisation

Big Data and Learning Analytics’ promise to revolutionise educational institutions, endeavours and actions through more and better data is now compelling. Multiple, and continually updating, datasets produce a new sense of ‘personalised learning’. A crucial attribute of the datafication, and subsequent profiling, of learner behaviour and engagement is the continual modification of the learning environment to induce greater levels of investment on the parts of each learner. The assumption is that more and better data, gathered faster and fed into ever-updating algorithms, provide more complete tools to understand, and therefore improve, learning experiences through adaptive personalisation. The argument in this paper is that Learning Personalisation names a new logistics of investment as the common ‘sense’ of the school, in which disciplinary education is “both disappearing and giving way to frightful continual training, to continual monitoring” (Deleuze, 1995a, p. 175).
Conditionally Independent Multiresolution Gaussian Processes

The multiresolution Gaussian process (GP) has gained increasing attention as a viable approach towards improving the quality of approximations in GPs that scale well to large-scale data. Most of the current constructions assume full independence across resolutions. This assumption simplifies the inference, but it underestimates the uncertainties in transitioning from one resolution to another. This in turn results in models which are prone to overfitting in the sense of excessive sensitivity to the chosen resolution, and predictions which are non-smooth at the boundaries. Our contribution is a new construction which instead assumes conditional independence among GPs across resolutions. We show that relaxing the full independence assumption enables robustness against overfitting, and that it delivers predictions that are smooth at the boundaries. Our new model is compared against current state of the art on 2 synthetic and 9 real-world datasets. In most cases, our new conditionally independent construction performed favorably when compared against models based on the full independence assumption. In particular, it exhibits little to no signs of overfitting.
Indonesian web corpus

Indonesian web corpus crawled in 2010. Encoded in UTF-8, cleaned, deduplicated, tagged by Morphind.
CoUPM: Correlated Utility-based Pattern Mining

In the field of data mining and analytics, the utility theory from Economic can bring benefits in many real-life applications. In recent decade, a new research field called utility-oriented mining has already attracted great attention. Previous studies have, however, the limitation that they rarely consider the inherent correlation of items among patterns. Consider the purchase behaviors of consumer, a high-utility group of products (w.r.t. multi-products) may contain several very high-utility products with some low-utility products. However, it is considered as a valuable pattern even if this behavior/pattern may be not highly correlated, or even happen by chance. In this paper, in light of these challenges, we propose an efficient utility mining approach namely non-redundant Correlated high-Utility Pattern Miner (CoUPM) by taking positive correlation and profitable value into account. The derived patterns with high utility and strong positive correlation can lead to more insightful availability than those patterns only have high profitable values. The utility-list structure is revised and applied to store necessary information of both correlation and utility. Several pruning strategies are further developed to improve the efficiency for discovering the desired patterns. Experimental results show that the non-redundant correlated high-utility patterns have more effectiveness than some other kinds of interesting patterns. Moreover, efficiency of the proposed CoUPM algorithm significantly outperforms the state-of-the-art algorithm.
A Big Data Solution for Silhouette Computation

For data analysis, the partitioning into groups based on data characteristics is crucial. This process is called clustering and the result is a set of groups containing original data, where data in the same group are more similar to each other than to data in other groups. The clustering process only partitions objects into clusters, so at the end of the process the number of object is the same as the original, with the additional information about their division in groups. Since in real world the data sets are likely to contain a huge amount of data, in this work a way to reduce this amount maintaining most important features of data is presented. The idea is simply to summarize the already clustered data dividing them into cells with a certain size and computing a representative object for each cell. The representative object will represent all the original data contained in the cell and will have a weight equal to the number of represented data. In this way, clusters of weighted objects are generated and a resultant so-called weighted clustering is obtained. The weighted clustering is a representation of the original clustering with a reduced cardinality. The reduction of cardinality is crucial because operations on lower amounts of data are faster and easier. To evaluate quality of the representation of the original clustered data with the clusters of weighted objects, the silhouette index has been used. A modification of this index that considers weights of objects has been created in this thesis. This version, called weighted silhouette, is important because the the silhouette index time complexity is quadratic in the number of considered data and for this reason the index can not be computed for large data sets. Using the weighted version proposed in this work, the silhouette index can be computed for high amounts of clustered data, after the application of the weighted clustering process that generate a representation of these data with a reduced cardinality.
Pseudofinite difference fields

Journal of Mathematical LogicVol. 20, No. 01, 1993001 (2020) Notice of RetractionFree AccessPseudofinite difference fieldsOriginal articlePseudofinite difference fieldsTingxiang ZouTingxiang ZouInstitut Camille Jordan, Université Claude Bernard Lyon 1, Francehttps://doi.org/10.1142/S0219061319930012Cited by:0 Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail [Journal of Mathematical Logic, Vol. 19, No. 2 (2019) [26 pages], DOI: 10.1142/S0219061319500119] FiguresReferencesRelatedDetailsRelated articlesPseudofinite difference fields2 Oct 2019Journal of Mathematical Logic Recommended Vol. 20, No. 01 Metrics History Published: 25 October 2019 PDF download
Data Querying and Access Control for Secure Multiparty Computation

In the Internet of Things and smart environments data, collected from distributed sensors, is typically stored and processed by a central middleware. This allows applications to query the data they need for providing further services. However, centralization of data causes several privacy threats: The middleware becomes a third party which has to be trusted, linkage and correlation of data from different context becomes possible and data subject lose control over their data.Hence, other approaches than centralized processing should be considered. Here, Secure Multiparty Computation is a promising candidate for secure and privacy-preserving computation happening close to the sources of the data.In order to make SMC fit for application in these contexts, we extend SMC to act as a service: We provide elements which allow third parties to query computed data from a group of peers performing SMC. Furthermore, we establish fine-granular access control on the level of individual data queries, yielding data protection of the computed results. By adding measures to inform data sources about requests and the usage of their data, we show how a fully privacy-preserving service can be built on the foundation of SMC.