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Okgraph: Unsupervised structured data extraction from plain text 10

Okgraph: Unsupervised structured data extraction from plain ...

引用

10th Italian Information Retrieval workshop, IIR 2019

作者： Atzori, Maurizio Balloccu, Simone Bellanti, Andrea Mameli, Emanuele Usai, Stefano Raimondo Department of Math/CS University of Cagliari Italy

In this report we introduce OKgraph, a software library for (open) Knowledge Graph extraction from free text. Named after a two-year project where we studied and developed unsupervised algorithms addressing tasks related to taxonomy learning, the library contains NLP tools powered by these results. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Knowledge graph

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Comparison of Pixel Correlation Induced by Space-Filling Curves on 2D Image data 10

Comparison of Pixel Correlation Induced by Space-Filling Cur...

引用

10th IEEE international Conference on Intelligent data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Duguay, Stephan Pigeon, Steven Univ Quebec Rimouski 300 Allee Ursulines Rimouski PQ G5L 3A1 Canada

ISBN: (纸本)9781728140698

Space-filling curves are well known for preserving pixel locality when they are used as paths to traverse 2D image data. Some prediction-based compression algorithms make use of these curves to ensure high pixel values correlation during 2D image data traversal. this work explores the distribution of pixel correlation induced by all possible space-filling curves on 2D image data and demonstrates that commonly used curves, such as the Hilbert or the Peano curves, do not provide the best possible pixel correlation for natural photographic images. Using experimental data collected on a large set of such images, we demonstrate that row-prime ordering is the best choice for preserving maximum pixel values correlation while reducing the dimensionality of 2D natural photographic image data.

关键词： space-filling curves pixel correlation pixel locality image compression image processing

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Network Protocols Determination Based on Raw data Analysis for Security Assesment under Uncertainty 10

Network Protocols Determination Based on Raw Data Analysis f...

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10th IEEE international Conference on Intelligent data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Gaifulina, Diana Fedorchenko, Andrey Kotenko, Igor Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat 3914th Liniya St Petersburg Russia St Petersburg Natl Res Univ Informat Technol Mech 49 Kronverkskiy Prospekt St Petersburg Russia

ISBN: (纸本)9781728140698

the paper is devoted to issues of the network traffic analysis in conditions of uncertain network protocol specifications. We propose an approach to identify typical structures of network protocols and determine their lexical specifications based on text-inspired methods for the structural analysis of raw data. High heterogeneity, partial lexical uncertainty and use of new, proprietary or modified data transfer protocols in computer networks explain high relevance of the research topic. We present the technique of network traffic analysis and the results of experiments, that confirm the applicability of the proposed approach.

关键词： cybersecurity protocols raw traffic structural analysis security assesment information security

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data Piecewise Linear Approximation for Bearings Degradation Monitoring 10

Data Piecewise Linear Approximation for Bearings Degradation...

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10th IEEE international Conference on Intelligent data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Huang, Fei Sava, Alexandre Adjallah, Kondo H. Wang, Zhouhang Univ Lorraine Lab Concept Optimisat & Modelisat Syst LCOMS EA 7306 F-57000 Metz France Huaiyin Inst Technol 1 Meicheng Rd Huaian 223003 Jiangsu Peoples R China

ISBN: (纸本)9781728140698

In this paper, we propose a method based on piecewise linear approximation (PLA) with segmented projection error (SPE) to reveal the underlying correlation structures and approximate multivariate time series. Based on this method we elaborate an indicator called vector of segmented projection error (VSPE) to characterize the bearings degradation using standard time domain standard features extracted from the vibration signal. the indicator VSPE monitors the evolution of the entire degradation process efficiently and provides real-time information on bearings degradation. We show the effectiveness of this new indicator using benchmark data. the results reveal the sensitive and monotonic character of the indicator VSPE according to the bearings degradation, which is promising for monitoring bearings on their lifespan.

关键词： piecewise linear approximation segmented projection error VSPE

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Wait-free Dynamic Transactions for Linked data structures 10

Wait-free Dynamic Transactions for Linked Data Structures

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10th international workshop on Programming Models and Applications for Multicores and Manycores (PMAM)

作者： LaBorde, Pierre Lebanoff, Lance Peterson, Christina Zhang, Deli Dechev, Damian Univ Cent Florida Orlando FL 32816 USA

ISBN: (纸本)9781450362900

Transactional data structures support threads executing a sequence of operations atomically. Dynamic transactions allow operands to be generated on the fly and allows threads to execute code in between the operations of a transaction, in contrast to static transactions which need to know the operands in advance. A framework called Lock-free Transactional Transformation (LFTT) allows data structures to run high-performance transactions, but it only supports static transactions. We extend LFTT to add support for dynamic transactions and wait-free progress while retaining its speed. the thread-helping scheme of LFTT presents a unique challenge to dynamic transactions. We overcome this challenge by changing the input of LFTT from a list of operations to a function, forcing helping threads to always start at the beginning of the transaction, and allowing threads to skip completed operations through the use of a list of return values. We thoroughly evaluate the performance impact of support for dynamic transactions and wait-free progress and find that these features do not hurt the performance of LFTT for our test cases.

关键词： Transactional data structures Wait-Free Transactional Memory Non-blocking

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Monitoring the deflections of bridges in the UK by GPS 17

Monitoring the deflections of bridges in the UK by GPS

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17th international workshop on Intelligent Computing in Engineering, EG-ICE 2010

作者： Roberts, Gethin Brown, Chris University of Nottingham United Kingdom Brunel University of West London United Kingdom

ISBN: (纸本)9781907284601

the use of GPS for monitoring the deflections of large suspension bridges in the UK has been the subject of research at the University of Nottingham and Brunel University for over a decade. the following paper details the main outputs from this work, focusing on the ability of GPS to measure in-service deflections to the order of a few millimetres, as well as measuring the fundamental frequencies of the bridges assessed. © Nottingham University Press

关键词： Deflection (structures)

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Image Classification Based on BP Neural Network and Sine Cosine Algorithm 10

Image Classification Based on BP Neural Network and Sine Cos...

引用

10th IEEE international Conference on Intelligent data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Song, Haoqiu Ye, Zhiwei Wang, Chunzhi Yan, Lingyu Hubei Univ Technol Sch Comp Sci Wuhan Hubei Peoples R China Fujian Prov Key Lab Data Intens Comp Fuzhou Peoples R China Fujian Prov Univ Key Lab Intelligent Comp & Informat Proc Fuzhou Peoples R China

ISBN: (纸本)9781728140698

Image classification is one of the most important tasks in image analysis and computer vision. BP neural network is a successful classifier for the task. However, with regard to the low study efficiency and the slow convergence speed in BP algorithm, some optimization algorithms have been proposed for achieving better results. Among all these methods, BP neural network improved by particle swarm optimization (PSO) and genetic algorithm (GA) may be the most successful and classical ones. Nevertheless, both GA and PSO are easy to fall into the local optimal solution, which has a great impact on the precision of classification. As a result, a novel optimization algorithm called sine cosine algorithm (SCA) is presented to improve the classification performance. the experimental results manifest that the proposed method has good performances, and the classification accuracy is better than BP neural network optimized by GA, PSO or other algorithms.

关键词： Image Classification BP Neural Network Evolutionary Computation Sine Cosine Algorithm

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Leibniz international Proceedings in Informatics, LIPIcs

Leibniz International Proceedings in Informatics, LIPIcs

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10th international Conference on Interactive theorem Proving, ITP 2019

ISBN: (纸本)9783959771221

the proceedings contain 33 papers. the topics discussed include: proving tree algorithms for succinct data structures;data types as quotients of polynomial functors;primitive floats in Coq;a certiﬁcate-based approach to formally veriﬁed approximations;higher-order Tarski Grothendieck as a foundation for formal proof;generic authenticated data structures, formally;a veriﬁed and compositional translation of LTL to deterministic Rabin automata;formalizing computability theory via partial recursive functions;formal proofs of Tarjan’s strongly connected components algorithm in Why3, Coq and Isabelle;and first-order guarded coinduction in Coq.

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the Construction and Measure Method of Dependency Parsing Tree Model 10

The Construction and Measure Method of Dependency Parsing Tr...

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10th IEEE international Conference on Software Engineering and Service Science (ICSESS)

作者： Liu, Gang Wang, Kai Liu, Wangyang Cao, Yang Harbin Engn Univ Coll Comp Sci & Technol Harbin 150001 Heilongjiang Peoples R China CETC Big Data Res Inst Co Ltd Governance Capabil Natl Engn Lab Big Data Applicat Improving Govt Guiyang 550022 Guizhou Peoples R China

ISBN: (纸本)9781728109459

Requirements analysis is the first point of information system development, which has a significant impact on the development. For the requirements of natural language description, automated requirement checking model cannot feasible. To verify the consistency of information system requirements, the paper builds a semantic model with tree nodes of natural language clauses. the model divides clauses into a representation of keywords set with seven-tuple. the paper not only proposed a dependency tree model to solve the problem that the refined tree cannot characterize the relationship between syntactic structure and keywords, but also put forward a dependency tagging algorithm and an algorithm to construct and update dependency parsing tree. the paper further put forward a semantic similarity calculation method to determine similarity among sub clause syntactic structures.

关键词： component requirement analysis information system semantic model dependency tree model dependent annotation algorithms

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Lattice data Analytics: the Poset of Irreducibles and the MacNeille Completion 10

Lattice Data Analytics: The Poset of Irreducibles and the Ma...

引用

10th IEEE international Conference on Intelligent data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Markowsky, George Markowsky, Linda Missouri Sci & Technol POB 1330 Rolla MO 65402 USA Univ Maine Orono ME 04469 USA

ISBN: (纸本)9781728140698

Automated and semi-automated systems that derive actionable information from massive, heterogeneous datasets are essential for many applications. the reasoning of such systems must be as clear as possible in order to earn our trust. Lattices have begun to play a key role in computer science finding applications in distributed computing, programming languages, concurrency theory, and data mining, thereby justifying G. C. Rota's belief that lattice theory will play an important role in 21st Century mathematics [1]. In some instances, researchers must deal with posets that are not necessarily lattices and the question arises how these posets can be embedded in lattices. A classic way to answer this question is to construct the MacNeille completion of the lattice, which is the most compact way to embed a poset into a lattice. In 1973 G. Markowsky introduced the poset of irreducibles construction in his dissertation and demonstrated that this was a very compact way to represent a lattice. In addition, the poset of irreducibles has many of the properties of the poset of join-irreducibles of distributive lattices that was introduced by G. Birkhoff and described in his book [2]. In this paper, we show how to construct the poset of irreducibles for the MacNeille completion of a poset efficiently. We conclude with some applications of these ideas.

关键词： poset of irreducibles lattice data analytics MacNeille completion dynamic algorithms

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