the proceedings contain 44 papers. the topics discussed include: a novel approach for predicting the length of hospital stay with DBSCAN and supervised classification algorithms;a fast narrow band level set formulatio...
ISBN:
(纸本)9781479922581
the proceedings contain 44 papers. the topics discussed include: a novel approach for predicting the length of hospital stay with DBSCAN and supervised classification algorithms;a fast narrow band level set formulation for shape extraction;collision probability based available bandwidth estimation in mobile ad hoc networks;the performance evaluation of proactive fault tolerant scheme over cloud using CloudSim simulator;game theoretic resource allocation in cloud computing;privacy protection in cloud using identity based group signature;detection of thunderstorms using data mining and image processing;a multi-objective differential evolution approach for the question selection problem;hybrid background subtraction in video using bi-level CodeBook model;and an agent-based linked data integration system.
People nowadays freely give out their personal information on social media without knowing the implications of such actions. the proliferation of social networking sites creates the illusion of funthat made people to...
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Nowadays, the use of mobile communication systems are growing increasingly across the world, huge sensitive information exchanging over these systems. the security problems of information confidentiality, authenticity...
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MapReduce is one of the leading programming frameworks to implement data-intensive applications by splitting the map and reduce tasks to distributed servers. Although there has been substantial amount of work on map t...
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ISBN:
(纸本)9781479970346
MapReduce is one of the leading programming frameworks to implement data-intensive applications by splitting the map and reduce tasks to distributed servers. Although there has been substantial amount of work on map task scheduling and optimization in the literature, the work on reduce task scheduling is very limited. Effective scheduling of the reduce tasks to the resources becomes especially important for the performance of data-intensive applications where large amounts of data are moved between the map and reduce tasks. In this paper, we propose a new algorithm (LoNARS) for reduce task scheduling, which takes both data locality and network traffic into consideration. Data locality awareness aims to schedule the reduce tasks closer to the map tasks to decrease the delay in data access as well as the amount of traffic pushed to the network. Network traffic awareness intends to distribute the traffic over the whole network and minimize the hotspots to reduce the effect of network congestion in data transfers. We have integrated LoNARS into Hadoop-1.2.1. Using our LoNARS algorithm, we achieved up to 15% gain in data shuffling time and up to 3-4% improvement in total job completion time compared to the other reduce task scheduling algorithms. Moreover, we reduced the amount of traffic on network switches by 15% which helps to save energy consumption considerably.
the proceedings contain 65 papers. the topics discussed include: human energy expenditure models: beyond state-of-the-art commercialized embedded algorithms;human skeleton extraction of depth images using the polygon ...
ISBN:
(纸本)9783319077246
the proceedings contain 65 papers. the topics discussed include: human energy expenditure models: beyond state-of-the-art commercialized embedded algorithms;human skeleton extraction of depth images using the polygon evolution;fabrication method: converting tacit knowledge to explicit knowledge in the fiber reinforced plastics molding;study on three dimensions body reconstruction and measurement by using kinect;comparison of gait analysis by the way of semi-structured interviews;motion analysis of the pounding technique used for the second lining in the fabrication of traditional Japanese hanging scrolls;analysis of expert skills on handheld grinding work for metallographic sample;study on the evaluation of automotive seat comfort during prolonged simulated driving;and simulation on thermal control system of the extravehicular spacesuit.
the proceedings contain 24 papers. the topics discussed include: making test corpora for question answering more representative;rethinking how to extend average precision to graded relevance;an information retrieval o...
ISBN:
(纸本)9783319113814
the proceedings contain 24 papers. the topics discussed include: making test corpora for question answering more representative;rethinking how to extend average precision to graded relevance;an information retrieval ontology for information retrieval nanopublications;supporting more-like-this information needs: finding similar web content in different scenarios;a study of personalized medical literature search;a hybrid approach for multi-faceted IR in multimodal domain;discovering similar passages within large text documents;improving transcript-based video retrieval using unsupervised language model adaptation;authorship identification using dynamic selection of features from probabilistic feature set;a real-world framework for translator as expert retrieval;comparing algorithms for microblog summarization;and the effect of dimensionality reduction on large scale hierarchical classification.
the proceedings contain 58 papers. the special focus in this conference is on Evolutionary computation and optimization, Intelligent systems, Applications, Classification and clustering methods, Soft computing methods...
ISBN:
(纸本)9783319079943
the proceedings contain 58 papers. the special focus in this conference is on Evolutionary computation and optimization, Intelligent systems, Applications, Classification and clustering methods, Soft computing methods in manufacturing and management systems, Applications of intelligent methods for security and Infrastructure and network security. the topics include: A strength pareto approach and a novel formulation in the reporting cells planning;a new iterative approach for finding nearest neighbors using space-filling curves for fast graphs visualization;classification via nearest prototype classifier utilizing artificial bee colony on CUDA;a proposal of good practice in the formulation and comparison of meta-heuristics for solving routing problems;soft computing meta models for the failure prediction of T-stub bolted connections;an overall performance comparative of GA-PARSIMONY methodology with regression algorithms;evolutionary simulation of complex networks’ structures with specific functional properties;inventory routing problem with stochastic demand and lead time;hybrid evolutionary workflow scheduling algorithm for dynamic heterogeneous distributed computational environment;a bi-objective harmony search approach for deploying cost-effective multi-hop communications over large-area wildfires;hyperspectral image analysis based on quad tree decomposition;gaussian process-based inferential control system and effect of initial conditioning of reinforcement learning agents on feedback control tasks over continuous state and action spaces.
In this work, we present a new social image dataset related to the fashion and clothing domain. the dataset contains more than 32000 images, their context and social metadata. Furthermore the dataset is enriched with ...
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ISBN:
(纸本)9781450327053
In this work, we present a new social image dataset related to the fashion and clothing domain. the dataset contains more than 32000 images, their context and social metadata. Furthermore the dataset is enriched with several types of annotations collected from the Amazon Mechanical Turk (AMT) crowdsourcing platform, which can serve as ground truth for various content analysis algorithms. this dataset has been successfully used at the Crowdsourcing task of the 2013 MediaEval Multimedia Benchmarking initiative. the dataset contributes to several research areas such as Crowdsourcing, multimedia content and context analysis as well as hybrid human/automatic approaches. In this paper, the dataset is described in detail and the dataset collection strategy, statistics, applications of dataset and its contribution to MediaEval 2013 is discussed. Copyright 2014 ACM.
the proceedings contain 21 papers. the special focus in this conference is on Agents and Artificial Intelligence. the topics include: A combinatorial optimization heuristic for distributed agents;rough terrain motion ...
ISBN:
(纸本)9783662444399
the proceedings contain 21 papers. the special focus in this conference is on Agents and Artificial Intelligence. the topics include: A combinatorial optimization heuristic for distributed agents;rough terrain motion planning for actuated, tracked robots;instrumentalization of norm-regulated transition system situations;path planning for tentacle robots using soft constraints;epistemic and probabilistic ATL with quantification and explicit strategies;emergent image segmentation by means of evolved connectionist models and using a topological active net model;hand gesture recognition for human computer interaction;agent-based simulation investigation on human activities and household electrical consumption;mapping multichannel documents to attentive tasks;constraint-handling with support vector decoders;sentence reduction algorithms to improve multi-document summarization;diverse planning for UAV trajectories;behavioral reasoning on semantic business processes in a rule-based framework;magic loops and the dynamic controllability of simple temporal networks with uncertainty and evolving optimal spatial allocation policies for complex and uncertain environments.
the proceedings contain 52 papers. the special focus in this conference is on Image Processing and Communications. the topics include: Adaptive windowed threshold for box counting algorithm in cytoscreening applicatio...
ISBN:
(纸本)9783319016214
the proceedings contain 52 papers. the special focus in this conference is on Image Processing and Communications. the topics include: Adaptive windowed threshold for box counting algorithm in cytoscreening applications;corneal endothelial grid structure factor based on coefficient of variation of the cell sides lengths;a distributed approach for development of deformable model-based segmentation methods;enhancement of low-dose CT brain scans using graph-based anisotropic interpolation;using of EM algorithm to image reconstruction problem with tomography noises;the perception of humanoid robot by human;a fast histogram estimation based on the Monte Carlo method for image binarization;adaptation of the combined image similarity index for video sequences;time-frequency analysis of image based on stockwell transform;2DKLT-based color image watermarking;knowledge transformations applied in image classification task;problems of infrared and visible-light images automatic registration;semantics driven table understanding in born-digital documents;contextual possibilistic knowledge diffusion for images classification;image feature extraction using compressive sensing;a modification of the parallel spline interpolation algorithms;local Eigen background substraction;polarization imaging in 3D shape reconstrucion;layer image components geometry optimization;extraction of data from limnigraf chart images;a simplified visual cortex model for efficient image codding and object recognition;fuzzy rule-based systems for optimizing power consumption in data centers;an algorithm for finding shortest path tree using ant colony optimization metaheuristic and a sensor network gateway for IP network and SQL database.
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