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6th international conference on Pattern Recognition Applications and Methods (ICPRAM)

作者： Ofer, Roy B. Eldar, Adi Shalev, Adi Resheff, Yehezkel S. Microsoft ILDC Herzelyia Israel Hebrew Univ Jerusalem Jerusalem Israel

ISBN: (纸本)9789897582226

As the cost of collecting and storing large amounts of data continues to drop, we see a constant rise in the amount of telemetry data collected by software applications and services. With the data mounding up, there is an increasing need for algorithms to automatically and efficiently mine insights from the collected data. One interesting case is the description of large tables using frequently occurring patterns, with implications for failure analysis and customer engagement. Finding frequently occurring patterns has applications both in an interactive usage where an analyst repeatedly query the data and in a completely automated process queries the data periodically and generate alerts and or reports based on the mining. Here we propose two novel mining algorithms for the purpose of computing such predominant patterns in relational data. the first method is a fast heuristic search, and the second is based on an adaptation of the apriori algorithm. Our methods are demonstrated on real-world datasets, and extensions to some additional fundamental mining tasks are discussed.

关键词： Data Mining Pattern Mining Software Telemetry Failure Analysis Subspace Clustering

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Partial enumeration algorithms for Two-Dimensional Bin Packing Problem with guillotine constraints

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discrete applied mathematics 2017年第Part1期217卷 40-47页

作者： Lodi, Andrea Monaci, Michele Pietrobuoni, Enrico Univ Bologna DEI Guglielmo Marconi Viale Risorgimento 2 I-40136 Bologna Italy Univ Padua DEI Via Gradenigo 6-A I-35131 Padua Italy

We consider the variant of the Two-Dimensional Bin Packing Problem in which items have to be obtained by a series of guillotine cuts and cannot be rotated. We present a heuristic algorithm based on partial enumeration, and computationally evaluate its performance on a large set of instances from the literature. Computational experiments show that the algorithm is able to produce proven optimal solutions for a large number of problems, and gives a tight approximation of the optimum in the remaining cases. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Two-dimensional packing Guillotine cuts Heuristic algorithms Computational experiments

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Proceedings of SPIE - the international Society for Optical Engineering

Proceedings of SPIE - The International Society for Optical ...

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6th international conference on Remote Sensing and Geoinformation of the Environment, RSCy 2018

ISBN: (纸本)9781510621176

the proceedings contain 67 papers. the topics discussed include: assessment of chlorophyll-a retrievals algorithms from Sentinel-2 satellite data;detection of marine fronts: a comparison between different approaches applied on the SST product derived from Sentinel-3 data;a semantic representation of EO data for image retrieval based on natural language queries;geo-spatial information and geomatics applications in higher education: an overview of main trends and recent changes;integrated BIM-GIS model generation at the city scale using geospatial data;revisiting the validity of Braak's equation on altitudinal temperature lapse rate using thermal-infrared bands of Landsat 8;assessment of terrestrial oil spill dynamics using field spectra and Sentinel 1 H - α decomposition;assessing the discrepancy in open-source atmospheric correction of sentinel-2 acquisitions for a tropical mining area in New Caledonia;review of spatial expert systems: do they still have a role to play?;a citizen science approach to assess the impact of roads on reptile mortality in Cyprus;a voxel-based model of lidar point cloud for estimating forest canopy closure;spatial data assimilation with a service-based GIS infrastructure for mapping and analysis of E. Huxleyi blooms in Arctic seas;extraction of bathymetric features using multiple SAR images produced by Sentinel-1;retrieval of nearshore bathymetry in the Gulf of Chania, NW Crete, Greece, from WorldWiew-2 multispectral imagery;and best practices for monitoring, mitigation, and preservation of cultural heritage sites affected by geo-hazards: the results of the PROthEGO project.

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Reducing Variant Diversity by Clustering Data Pre-processing for discrete Event Simulation Models 6

Reducing Variant Diversity by Clustering <i>Data Pre</i>-<i>...

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6th international conference on Data Science, Technology and Applications (DATA)

作者： Strasser, Sonja Peirleitner, Andreas Univ Appl Sci Upper Austria Inst Smart Prod Wehrgrabengasse 1-3 Steyr Austria

ISBN: (纸本)9789897582554

Building discrete event simulation models for studying questions in production planning and control affords reasonable calculation time. Two main causes for increased calculation time are the level of model details as well as the experimental design. However, if the objective is to optimize parameters to investigate the parameter settings for materials, they have to be modelled in detail. As a consequence model details such as number of simulated materials or work stations in a production system have to be reduced. the challenge in real world applications with a high variant diversity of products is to select representative materials from the huge number of existing materials for building a simulation model on condition that the simulation results remain valid. Data mining methods, especially clustering can be used to perform this selection automatically. In this paper a procedure for data preparation and clustering of materials with different routings is shown and applied in a case study from sheet metal processing.

关键词： Clustering Data Pre-processing Variant Diversity discrete Event Simulation

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Dead-beat synchronization control in discrete-time chaotic systems 6

Dead-beat synchronization control in discrete-time chaotic s...

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6th international conference on Modern Circuits and Systems Technologies, MOCAST 2017

作者： Ouannas, Adel Grassi, Giuseppe Azar, Ahmad Taher Radwan, Ahmed G. Volos, Christos Pham, Viet-thanh Ziar, Toufik Kyprianidis, Ioannis M. Stouboulos, Ioannis N. Department of Mathematics and Computer Science University of Tebessa 12002 Algeria Dipartimento Ingegneria Innovazione Università Del Salento Lecce73100 Italy Faculty of Computers and Information Benha University Egypt Engineering Mathematics and Physics Cairo University Egypt Physics Department Aristotle University of Thessaloniki GR-54124 Greece School of Electronics and Telecommunications Hanoi University of Science and Technology Dai Co Viet Viet Nam Department of Material Sciences University of Tebessa 12002 Algeria Department of Physics Aristotle University of Thessaloniki Greece

ISBN: (纸本)9781509043866

Referring to chaos synchronization, it can be noticed the lack of a general approach enabling any type of synchronization to be achieved. Similarly, there is the lack of a unified method for synchronizing both continuous-time and discrete-time systems via a scalar signal. this paper and the companion one [1] aim to bridge these two gaps by presenting a novel general unified framework to synchronize chaotic systems via a scalar signal. this paper focuses on discrete-time systems, while the companion paper [1] deals with continuous-time systems. Herein, the observer-based synchronization framework exploits a structural condition related to the controllability matrix of the error system in order to achieve any type of dead-beat synchronization (i.e., exact synchronization in finite time) via a scalar synchronizing signal. Examples of different types of synchronization are illustrated, with the aim to show the capabilities of the conceived approach. © 2017 IEEE.

关键词： Synchronization

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discrete Heat Kernel Smoothing in Irregular Image Domains

Discrete Heat Kernel Smoothing in Irregular Image Domains

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Annual international conference of the IEEE Engineering in Medicine and Biology Society

作者： Moo K. Chung Yanli Wang Guorong Wu University of Wisconsin System Madison WI US Institute of Applied Physics and Computational Mathematics Beijing CN University of North Carolina at Asheville Asheville NC US

We present the discrete version of heat kernel smoothing on graph data structure. the method is used to smooth data in an irregularly shaped domains in 3D images. New statistical properties of heat kernel smoothing are derived. As an application, we show how to filter out noisy data in the lung blood vessel trees obtained from computed tomography. the method can be further used in representing the complex vessel trees parametrically as a linear combination of basis functions and extracting the skeleton representation of the trees.

关键词： Kernel Heating systems Smoothing methods three-dimensional displays Bandwidth Biomedical imaging Blood vessels

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Fault Tolerant Control for Uncertain Switching discrete-time Systems with Actuator Failures 6

Fault Tolerant Control for Uncertain Switching Discrete-time...

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6th international conference on Systems and Control (ICSC)

作者： Benzaouia, Abdellah Telbissi, Kenza Univ Cadi Ayyad Fac Sci Semlalia LAEPT URAC 28 PB 2390 Marrakech Morocco

ISBN: (纸本)9781509039609

In this paper, a Fault Tolerant Control (FTC) strategy for uncertain switched systems that can be used in the case of additive actuator faults is proposed. Sufficient conditions of building an observer are obtained by using multiple Lyapunov function. these conditions are worked out in a simple way, using cone complementarity technique, to obtain new LMIs with slack variables and multiple weighted residual matrices. the obtained results are applied on a numerical example showing fault detection, localization of fault and reconfiguration of the control to maintain asymptotic stability even in presence of a permanent actuator fault.

关键词： Switched Systems Fault Tolerant Control Actuator failure stabilizing control arbitrary switching sequence observer multiple Lyapunov function LMI cone complementarity

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Querying Relational Event Graphs Using Colored Range Searching Data Structures 1

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3rd international conference on algorithms and discrete applied mathematics (CALDAM)

作者： Chanchary, Farah Maheshwari, Anil Smid, Michiel Carleton Univ Sch Comp Sci Ottawa ON K1S 5B6 Canada

ISBN: (数字)9783319530079

ISBN: (纸本)9783319530062;9783319530079

We present a general approach for analyzing structural parameters of a relational event graph within arbitrary query time intervals using colored range query data structures. Relational event graphs generally represent social network datasets, where each graph edge carries a timestamp. We provide data structures based on colored range searching to efficiently compute several graph parameters (e.g., density, neighborhood overlap, h-index).

关键词： Colored range searching Relational event graph Social network analysis Timestamp

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A Swarm Intelligence Based (SIB) method for optimization in designs of experiments

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NATURAL COMPUTING 2017年第4期16卷 597-605页

作者： Phoa, Frederick Kin Hing Acad Sinica Inst Stat Sci Taipei 115 Taiwan

Natural heuristic methods, like the particle swarm optimization and many others, enjoy fast convergence towards optimal solution via inter-particle communications. Many applications of such methods are applied to the optimization in engineering, but only a few to the optimization in statistics. It is especially difficult to implement in the optimization problems of experimental designs as the search space is mostly discrete, while most natural heuristic methods are limited to searching continuous domains. this paper introduces a new natural heuristic method called Swarm Intelligence Based method for optimizing problem with a discrete domain. It includes two new operations, MIX and MOVE, for combining two particles and selecting the best particle respectively. this method is ready for the search of both continuous and discrete domains, and its global best particle is guaranteed to monotonically move towards the optimum. Several demonstrations on the optimization of experimental designs are given at the end of this paper.

关键词： Swarm intelligence Designs of experiments Hadamard matrix Supersaturated designs Latin hypercube designs discrete domain

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Optimization of Integrated Batch Mixing and Continuous Flow in Glass Tube & Fluorescent Lamp 6

Optimization of Integrated Batch Mixing and Continuous Flow ...

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6th international conference on Operations Research and Enterprise Systems (ICORES)

作者： Faragallah, Mina Elimam, A. A. Mondelez Egypt 10th Ramadan Egypt Amer Univ Cairo Mech Engn Dept New Cairo Egypt

ISBN: (纸本)9789897582189

this paper deals with production planning of in-series continuous flow, and discrete production plants. the work is applied to glass and fluorescent lamp industry, where raw materials are mixed in batches, charged to a continuous furnace to produce glass tubes, and then assembled into discrete lamps. A non-linear programming model was formulated from the raw material mixing stage till the production of fluorescent lamps. Using the model, the amount of each raw material can be obtained at minimum cost, while satisfying the desired properties of the produced glass. the model also provides the optimum lamp production amounts, inventory levels, and the glass pull rate from the furnace, which determines the production amounts of glass tubes. An important factor in the continuous flow process is the amount of broken glass (cullet) added in the furnace, which has an impact of raw material cost and natural gas consumption. In order to solve the model, separable programming methods and linear approximations were used to transform the non-linear terms. Results are validated versus actual production data from local Glass & Lamp factories, and the model proved to be an efficient tool of integrating the whole process at minimum cost.

关键词： Production Planning Continuous Production Batch Mixing Linear Programming

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