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10th international workshop on Resilient Networks Design and Modeling (RNDM)

作者： Aibin, Michal Walkowiak, Krzysztof British Columbia Inst Technol Dept Comp Vancouver BC Canada Wroclaw Univ Sci & Technol Fac Elect Dept Syst & Comp Networks Wroclaw Poland

ISBN: (纸本)9781538670309

In last few years, cloud computing and other services based on data centers have evolved from an emerging technology to a recognized approach that is gaining broad acceptance and deployment. therefore, there is a significant need to provide efficient and reliable operation of inter-data center networks based on optical technologies. In this article, we focus on cross stratum optimization of an inter-data center elastic optical network with additional survivability requirements. We propose a novel optimization approach that employs machine learning Monte Carlo Tree Search (MCTS) algorithm for simulation of future traffic to improve the performance of the network regarding blocking probability and operational cost. We evaluate the performance of the proposed method and other reference algorithms under various network scenarios, using representative topologies and real data provided by Amazon Web Services. the main conclusion is that the approach based on the MCTS algorithm enables better coordination of resource allocation in both strata, which results in lower blocking of requests and lower cost taking into account the survivability requirements, in comparison to other algorithms.

关键词： elastic optical networks dynamic routing cloud services path protection traffic prediction

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Comparing performance of formal concept analysis and closed frequent itemset mining algorithms on real data 10

Comparing performance of formal concept analysis and closed ...

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10th international Conference on Concept Lattices and their Applications, CLA 2013

作者： Pisková, Lenka Horváth, Tomáš University of Pavol Jozef Šafárik Košice Slovakia

In this paper, an experimental comparison of publicly available algorithms for computing intents of all formal concepts and mining frequent closed itemsets is provided. Experiments are performed on real data sets from UCI Machine Learning Repository and FIMI Repository. Results of experiments are discussed at the end of the paper. © paper author(s), 2013.

关键词： Formal concept analysis

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An evolutionary approach to the selection and allocation of distributed cubes

An evolutionary approach to the selection and allocation of ...

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10th international database Engineering and Applications Symposium (IDEAS 2006)

作者： Loureiro, Jorge Belo, Orlando Inst Politecn Viseu Escola Super Tecnol Dept Informat Campus Politecn Repeses P-3505510 Viseu Portugal Univ Minho Escola Engenharia Dept Informat Braga 4710057 Portugal

ISBN: (纸本)9780769525778

the materialization of multidimensional structures is a common way to speed up OLAP queries. Since there might be a huge number of those structures, a variety of proposals tried to select the most beneficial set, based on the profile of the queries and observing some constraints as materializing space and maintenance time, addressing a centralized storage facility. Only recently, the distributed scenario came to stage on this area, introducing the space dimension (and corresponding communication costs) into the equation to minimize costs. this paper focuses on the selection and allocation of distributed OLAP cubes, using evolutionary algorithms, having an extended aggregation lattice as framework to capture the distributed semantics. Moreover, the evaluation of the fitness of evolutionary solutions is based on cost estimation algorithms that simulate the execution of parallel tasks, using time units as cost metric.

关键词： data warehousing view management and distributed OLAP

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Identifying def/use information of statements that construct and traverse dynamic recursive data structures 10th

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10th Annual international workshop on Languages and Compilers for Parallel Computing, LCPC 1997

作者： Hwang, Yuan-Shin Saltz, Joel Department of Computer Science University of Maryland College ParkMD20742 United States

ISBN: (纸本)3540644725

Pointer analysis is essential for optimizing and parallelizing compilers. It examines pointer assignment statements and estimates pointer-induced aliases among pointer variables or possible shapes of dynamic recursive data structures. However, previously proposed techniques perform pointer analysis without the knowledge of traversal patterns of dynamic recursive data structures to be constructed. this paper presents an algorithm to identify the traversal patterns of recursive data structures and propagate this information back to those statements that define the data structures. this approach recognizes the DEF/USE relationships between the statements that define and traverse dynamic recursive data structures. the outcome of this technique will be useful for pointer analysis and parallelization. algorithms to perform pointer analysis and dependence test using the knowledge of traversal patterns will also be presented. © 1998, Springer-Verlag. All rights reserved.

关键词： data structures

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data augmentation in feature-space with generative adversarial networks, applied to GPR-based buried threat detection 10

Data augmentation in feature-space with generative adversari...

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10th international workshop on Advanced Ground Penetrating Radar, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019

作者： Malof, Jordan M. Reichman, Daniël Collins, Leslie M. Electrical and Computer Engineering Department Duke University Durham United States

In this work we consider the problem of developing algorithms for automatic buried threat detection (BTD) in ground penetrating radar (GPR) data. Many such algorithms are supervised, and perform best when they can be trained on large quantities of labeled threat and non-threat GPR data, respectively. Unfortunately, such data is costly to collect, and therefore relatively scarce. One approach to mitigate this problem is data augmentation, in which novel training data is created by applying transformations to existing data. Prior work has shown that augmentation can indeed improve the training of GPR-based BTD algorithms. In this work, we explore the use of Generative Adversarial Networks (GANs) for data augmentation. GANs can be trained to generate novel, but highly realistic, data after training on a real-world dataset. GANs have yielded impressive results on many types of data, but they are notoriously difficult to train. In this work, we propose an approach, entitled featureGAN, that mitigates some of the challenges training GANs. We show that augmentation using featureGAN yields improved detection performance, and yields better performance than some naïve alternative augmentation strategies. We also propose a metric for quantifying the success of GAN training, called the q-metric, which was crucial to achieving good results. Copyright © 10th international workshop on Advanced Ground Penetrating Radar, Held at Near Surface Geoscience Conference and Exhibition 2019, NSG 2019. All rights reserved.

关键词： Generative adversarial networks

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A probabilistic analysis of hierarchical geometric data structures

A probabilistic analysis of hierarchical geometric data stru...

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Proceedings of the 10th international Conference on Pattern Recognition

作者： Lindenbaum, Michael Samet, Hanan Electr Eng Dept Technion Haifa Israel

the size of five hierarchical geometric data structures is investigated analytically using random image models. Upper bounds and some lower bounds on the size of the structures are derived. the results are useful in p... 详细信息

关键词： data Processing

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A hybrid architecture for visualization and decision making in battlespace environments 10

A hybrid architecture for visualization and decision making ...

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10th IEEE international Conference and workshop on the Engineering of Computer-Based Systems

作者： Peng, J Rozenblit, JW Suantak, L Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA

ISBN: (纸本)0769519172

this article presents a hybrid. software/hardware architecture for commander's decision support in tactical operations. the architecture builds on the symbolic, object-oriented visualization software called Advanced Tactical Architecture for Combat Knowledge System (ATACKS). the extension discussed here is the design of a real-time robot agent layer that interacts wirelessly with ATACKS. this layer enacts decisions made by software agents (wargamers), continuously relays the execution states back to ATACKS, and updates its actions as advocated by replanning algorithms. the software layer is briefly described followed by the specification of the real-time requirements for the robotic architecture. the design and implementation are given with a small example that illustrates the hybrid system's operation.

关键词： Computer architecture data visualization Decision making Displays Intelligent systems Java Knowledge based systems Military computing Military standards Robots

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Impact of subsurface structures on groundwater exploration using aeromagnetic and geoelectrical data: a case study at Aswan City, Egypt

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ARABIAN JOURNAL OF GEOSCIENCES 2020年第22期13卷 1213-1213页

作者： Meneisy, Ahmed M. Aswan Univ Dept Geol Fac Sci Aswan Egypt

Geological evaluation and groundwater assessment, especially in arid areas, are considerable targets for constructing recent and sustainable development communities. the current work aims to apply an integrated approach to acquire geologic structures and groundwater potentiality at highly deformed area. As a case study, remote sensing (RS), aeromagnetic, and geoelectrical data are conducted to delineate the subsurface structures and hydrogeological regime at Aswan City. Initially, remote sensing data with GIS software are utilized to delineate the surface structures and watershed configuration. Moreover, the reduced to magnetic pole (RTP) aeromagnetic data is processed and interpreted using appropriate filters. In an attempt to demonstrate the subsurface structures and basement relief maps, the RTP map was analyzed considering the RS data which was stated in previous stage. In the light of RTP aeromagnetic results and well logging data, the direct current resistivity (DCR) sounding is executed particularly along paleochannel and flood plain portion. Due to the inversion process problem of DCR field data, advanced solutions and algorithms are applied to improve the property of the results. Based upon overall results mentioned above, the correlation between subsurface structures and aquifer formation can be monitored. the present approach can be applied for groundwater exploration in this and other similar geological and hydrogeological environments around the world.

关键词： Remote sensing RTP aeromagnetic DCR soundings Highly deformed areas Hydrogeological regime

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Proceedings - 18th international workshop on Logical and Semantic Frameworks, with Applications, LSFA 2023 and 10th workshop on Horn Clauses for Verification and Synthesis, HCVS 2023

Proceedings - 18th International Workshop on Logical and Sem...

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18th international workshop on Logical and Semantic Frameworks, with Applications, LSFA 2023 and 10th workshop on Horn Clauses for Verification and Synthesis, HCVS 2023

the proceedings contain 8 papers. the topics discussed include: Stalnaker's epistemic logic in Isabelle/HOL;formalizing factorization on Euclidean domains and abstract Euclidean algorithms;more Church-Rosser proofs in BELUGA;embedding differential dynamic logic in PVS;semi-substructural logics with additives;data abstraction, arrays, maps, and completeness, aka ‘Cell Morphing’;CHC-COMP 2023: competition report;bottoms up for CHCs: novel transformation of linear constrained horn clauses to software verification;and an encoding for CLP problems in SMT-LIB.

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Community Detection algorithms for Cultural and Natural Heritage data in Social Networks 17th

Community Detection Algorithms for Cultural and Natural Heri...

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17th IFIP WG 12.5 international Conference on Artificial Intelligence Applications and Innovations (AIAI) / 6th 5G-PINE workshop / AI-BIO workshop / DAAI workshop / DARE workshop / EEAI workshop / 10th MHDW workshop

作者： Kanavos, Andreas Trigka, Maria Dritsas, Elias Vonitsanos, Gerasimos Mylonas, Phivos Ionian Univ Dept Reg Dev Lefkada Greece Univ Patras Comp Engn & Informat Dept Patras Greece Ionian Univ Dept Informat Corfu Greece Inst Entrepreneurship Dev Larisa Greece

ISBN: (纸本)9783030791599;9783030791575;9783030791568

In social network analysis, it is crucial to discover a community through the retrospective decomposition of a large social graph into easily interpretable subgraphs. Four major community discovery algorithms, namely the Breadth-First Search, the Louvain, the MaxToMin, and the Propinquity Dynamics, are implemented. their correctness was functionally evaluated in the four most widely used graphs with vastly different characteristics and a dataset retrieved from Twitter regarding cultural and natural heritage data because this platform reflects public perception about historical events through means such as advanced storytelling in users timelines. the primary finding was that the Propinquity Dynamics algorithm outperforms the other algorithms in terms of NMI for most graphs. In contrast, this algorithm with the Louvain performs almost the same regarding modularity.

关键词： Community detection Cultural and natural heritage management Graph mining Modularity NMI Social networks

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