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检索条件"主题词=Algorithm design and analysis"

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Guiding Text Image Keypoints Extraction Through Layout analysis 7

Guiding Text Image Keypoints Extraction Through Layout Analy...

引用

14th IAPR International Conference on Document analysis and Recognition (ICDAR)

作者： Royer, E. Bouchara, F. Univ Toulon & Var Aix Marseille Univ CNRS ENSAMLSIS Marseille France

ISBN: (纸本)9781538635865

The rise of the smartphone industry has increased the need for mobile capture of document images and with embedded applications. In the field of image processing, detecting keypoints and computing their associated features is the first step of numerous algorithms. However, keypoints detectors are mostly designed for real world images and usually don't behave well with document images. In this paper, we propose an idea which consists in guiding keypoints extraction by using the document layout information. We compare this approach with the CORE algorithm for confusion reduction, on three classical descriptors. Results show improvements in both matching quality and processing times.

关键词： Feature extraction Layout algorithm design and analysis Detectors Text analysis Mobile communication

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Towards Load-Balanced VNF Assignment in Geo-distributed NFV Infrastructure 25

Towards Load-Balanced VNF Assignment in Geo-distributed NFV ...

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25th IEEE/ACM International Symposium on Quality of Service (IWQoS)

作者： Fei, Xincai Liu, Fangming Xu, Hong Jin, Hai Huazhong Univ Sci & Technol Minist Educ Sch Comp Sci & Technol Key Lab Serv Comp Technol & Syst Wuhan Hubei Peoples R China City Univ Hong Kong NetX Lab Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781538627044

Network functions virtualization (NFV) is increasingly adopted by telecommunications (telecos) service providers for cost savings and flexible management. However, deploying virtual network functions (VNFs) in geo-distributed central offices (COs) is not straightforward. Unlike most existing centralized schemes in clouds, VNFs of a service chain usually need to be deployed in multiple COs due to limited resource capacity and uneven setup cost at various locations. To ensure the Quality of Service of service chains, a key problem for service providers is to determine where a VNF should go, in order to achieve cost-efficiency and load balancing of both computing and bandwidth resources, across all selected COs. To this end, we present a framework of CO Selection (CS) and VNF Assignment (VA) for distributed deployment of NFV. Specifically, we first select a set of COs that minimizes the communication cost among the selected COs. Then, we employ a shadow-routing based approach, which minimizes the maximum of appropriately defined CO utilizations, to jointly solve the VNF-CO and VNF-server assignment problem. Simulations demonstrate the effectiveness of CS algorithm, and asymptotic optimality, scalability and high adaptivity of the VNF assignment approach.

关键词： Bandwidth Servers Load management Quality of service Load modeling algorithm design and analysis Approximation algorithms

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Trajectory planning and fuzzy control for perpendicular parking 13

Trajectory planning and fuzzy control for perpendicular park...

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IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Das, Soumyo Yarlagadda, Yamini Vora, Prashantkumar B. Nair, Sabarish R. P. KPIT Technol Ltd Bangalore Karnataka India

ISBN: (纸本)9781509060641

This paper discusses about the trajectory planning and controlled maneuvering of the vehicle in parking assist mode. The objective of the proposed algorithm is to use low-cost hardware like ultrasonic sensor in order to provide automated parking assist to the vehicle. The concept of grid occupancy is formulated in free space detection algorithm to compute lateral-longitudinal grid cell vacancy. The vehicle will enable automated parking assist mode for controlled maneuvering on completion of free space detection followed by path planning. The reference planned path is an optimized trajectory with single maneuver for the vehicle to traverse in a free parking space. The localized trajectory and control algorithm of the perpendicular parking have been designed with reference to perception sensor input. The controller facilitates the intelligent navigation of vehicle based on measured obstacle free clearance distance and reference point. The steering control algorithm based on fuzzy logic is designed to provide an optimized maneuvering of the host vehicle in perpendicular parking space. In order to ease parking effort, an innovative approach of combined feedback and feed-forward based fuzzy controller has been illustrated. The controller performance has been evaluated in simulation environment keeping vehicle dynamics model in loop. The test scenario has been modeled in Carmaker to substantiate the optimization of route selection and a smooth transition of vehicle in parking assist mode during maneuvering into an empty parking space.

关键词： Trajectory Aerospace electronics Gears Space vehicles Planning algorithm design and analysis

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TOWARDS SOLVING MASSIVE REGRESSION PROBLEMS: LEAST SQUARES MULTISPLITTING

TOWARDS SOLVING MASSIVE REGRESSION PROBLEMS: LEAST SQUARES M...

引用

IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

作者： Inghelbrecht, Gilles Barbe, Kurt Vrije Univ Brussel Dept Math DWIS Res Grp Digital Math DIMA Pl Laan 2 B-1050 Brussels Belgium

ISBN: (纸本)9781509035960

Indirect measurements of physical parameters of interest often require a mathematical model in which these parameters are estimated accordingly to the gathered measurements. Within the Least Squares estimation, the parameters are estimated through a regression problem. The presence of dynamics, multiple sensors and high sampling rates lead to high dimensional regression matrices. This paper deals with solving such massive regression problems efficiently. We revisit Renaut's Least Squares Multisplitting (LSMS) technique aimed at solving the ordinary least squares problem in parallel. The LSMS decomposes the design matrix column-wise into several (possibly overlapping) blocks. The global least squares solution is subsequently replaced by an equivalent set of local least squares problems which are to be solved in parallel. At every iteration step the local solutions are recombined using an appropriate weighting scheme. This allows for a scalable and highly parallel implementation aimed at distributed systems. We study how to decompose the global estimation problem in smaller subproblems and quantify the effects of various possible partitions. The method is illustrated with dedicated numerical simulations and a toy application in the area of sensor fusion.

关键词： Convergence Estimation Mathematical model algorithm design and analysis Matrix decomposition Complexity theory Real-time systems

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A Heuristic algorithm for Solving Resource Constrained Project Scheduling Problems

A Heuristic Algorithm for Solving Resource Constrained Proje...

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IEEE Congress on Evolutionary Computation (CEC)

作者： Chand, Shelvin Singh, Hemant Kumar Ray, Tapabrata Univ New South Wales Sch Engn & Informat Technol Canberra ACT Australia

ISBN: (纸本)9781509046010

Resource constrained project scheduling problem (RCPSP) is one of the classical problems in the area of discrete optimization. In this paper we propose an algorithm for solving RCPSP which relies on an adaptive insertion mutation operator that targets different regions of the search space. Neighbourhoods are exploited via forward-backward iterative local search. Furthermore, the algorithm makes use of an archive to ensure better utilization of the schedule budget. The performance of the approach is analysed across various problem complexities associated with J30, J60 and J120 full instance sets of PSPLib with budgets of 1,000, 5,000 and 50,000 schedules. The study provides insights on the performance of the algorithm i.e. why the performance is good for particular instances and not as good for others.

关键词： Schedules Sociology Statistics algorithm design and analysis Maintenance engineering Job shop scheduling

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An algorithm for Enduing and Identifying the Information of Topological Entities in 3D Graphics 2

An Algorithm for Enduing and Identifying the Information of ...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Qiujiao Wang School of Mathematics Southwest Jiaotong University

Feature-based modeling is very popular in generating the shape and history of a product in a three-dimensional(3 D) CAD system. In the previous studies, features are the basic unit of the models. It o

ISBN: (纸本)9781467389808

关键词： Solid modeling Feature extraction Manifolds Three-dimensional displays Flanges algorithm design and analysis Databases

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Data Analytics Development of FDR (Flight Data Recorder) Data for Airline Maintenance Operations 13

Data Analytics Development of FDR (Flight Data Recorder) Dat...

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IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Lee, Chang-Hun Shin, Hyo-Sang Tsourdos, Antonios Skaf, Zakwan Cranfield Univ Sch Aerosp Transport & Mfg Cranfield MK43 0AL Beds England Cranfield Univ Integrated Vehicle Hlth Monitoring IVHM Ctr Cranfield MK43 0AL Beds England

ISBN: (纸本)9781509060641

In this article, we propose a data analytics development to detect unusual patterns of flights from a vast amounts of FDR (flight data recorder) data for supporting airline maintenance operations. A fundamental rationale behind this development is that if there are potential issues on mechanical parts of an aircraft during a flight, evidences for these issues are most likely included in the FDR data. Therefore, the data analysis of FDR data enables us to detect the potential issues in the aircraft before they occur. To this end, in a data pre-processing step, a data filtering, a data sampling, and a data transformation are sequentially performed. And then, in this analysis, all time series data in the FDR are classified into three types: a continuous signal, a discrete signal, and a warning signal. For each type of signal, a high-dimensional vector by arranging the time series data is chosen as features. In the feature section process, a correlation analysis, a correlation relaxation, and a dimension reduction are sequentially conducted. Finally, a type of k-nearest neighbor approach is applied to automatically identify the FDR data in which the unusual flight patterns are recorded from a large amount of FDR data. The proposed method is tested with using a realistic FDR data from the NASA's open database.

关键词： Time series analysis Maximum likelihood detection Nonlinear filters Data analysis Aircraft Correlation algorithm design and analysis

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algorithm Optimization Framework for Advanced Driver Assistance Systems

Algorithm Optimization Framework for Advanced Driver Assista...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Janjatovic, Joakim Ostojic, Radivoje Velikic, Gordana Maruna, Tomislav Fac Tech Sci Novi Sad Serbia RT RK LLC Novi Sad Serbia

ISBN: (纸本)9781509055449

With the rapid technology development of systems that assist drivers, the lack of uniform support for efficient algorithm development has emerged. We propose a universal Software Development Kit (SDK) concept with common optimization routines that can be applied to typical Advanced Driver Assistance Systems (ADAS) algorithms. The evaluation confirmed that the SDK decreased execution time for ADAS algorithms and works seamlessly across different embedded architectures.

关键词： Optimization algorithm design and analysis Hardware Software algorithms Libraries Advanced driver assistance systems Vehicles

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Improving Valiant Routing for Slim Fly Networks 46

Improving Valiant Routing for Slim Fly Networks

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46th International Conference on Parallel Processing Workshops (ICPPW)

作者： Han, Deyu Wang, Zhaofeng Bunde, David P. Carnegie Mellon Univ Pittsburgh PA 15213 USA Knox Coll Galesburg IL 61401 USA

ISBN: (纸本)9781538610442

Valiant routing, the use of a random intermediate node to distribute network traffic, has been proposed for a number of recent HPC network topologies. It is also commonly used as a bulding block for adaptive routing algorithms, which use shortest path routes when possible, but revert to Valiant routing when necessary to avoid hot spots. We show that the version of Valiant routing proposed for the Slim fly topology can cause messages to follow loops, using an edge in both directions before returning to edges of the original shortest path. Removing these loops in the UGAL-L adaptive routing algorithm is shown to provide slight improvements in average latency and also allow the network to carry up to 12% more traffic before saturation.

关键词： Routing Optical switches Topology Network topology Parallel processing algorithm design and analysis

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Density based Clustering over Location Based Services 33

Density based Clustering over Location Based Services

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IEEE 33rd International Conference on Data Engineering (ICDE)

作者： Rahman, Md Farhadur Liu, Weimo Bin Suhaim, Saad Thirumuruganathan, Saravanan Zhang, Nan Das, Gautam Univ Texas Arlington Arlington TX 76019 USA HBKU QCRI Doha Qatar George Washington Univ Washington DC 20052 USA

ISBN: (纸本)9781509065431

Location Based Services (LBS) have become extremely popular over the past decade, being used on a daily basis by millions of users. Instances of real-world LBS range from mapping services (e.g., Google Maps) to lifestyle recommendations (e.g., Yelp) to real-estate search (e.g., Redfin). In general, an LBS provides a public (often web-based) search interface over its backend database (of tuples with 2D geolocations), taking as input a 2D query point and returning k tuples in the database that are closest to the query point, where k is usually a small constant such as 20 or 50. Such a public interface is often called a k-Nearest-Neighbor, i.e., kNN, interface. In this paper, we consider a novel problem of enabling density based clustering over the backend database of an LBS using nothing but limited access to the kNN interface provided by the LBS. Specifically, a key limit enforced by most real-world LBS is a maximum number of kNN queries allowed from a user over a given time period. Since such a limit is often orders of magnitude smaller than the number of tuples in the LBS database, our goal here is to mine from the LBS a cluster assignment function f(center dot), such that for any tuple t in the database (which may or may not have been accessed), f(center dot) can produce the cluster assignment of t with high accuracy. We conduct a comprehensive set of experiments over benchmark datasets and popular real-world LBS such as Yahoo! Flickr, Zillow, Redfin and Google Maps and demonstrate the effectiveness of our proposed techniques.

关键词： Clustering algorithms Two dimensional displays Google algorithm design and analysis Spatial databases Data mining

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