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检索条件"任意字段=9th IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 2013"

共 236 条记录，以下是161-170 订阅

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distributed computing and Internet Technology - 9th international conference, ICDCIT 2013, Proceedings

Distributed Computing and Internet Technology - 9th Internat...

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9th international conference on distributed computing and Internet Technology, ICDCIT 2013

ISBN: (纸本)9783642360701

the proceedings contain 45 papers. the topics discussed include: theoretical distributed computing meets biology: a review;participatory sensing: crowdsourcing data from mobile smartphones in urban spaces;energy efficient distributed computing on mobile devices;data insertion and archiving in erasure-coding based large-scale storage systems;medical software - issues and best practices;improved interference in wireless sensor networks;trust based secure gateway discovery mechanism for integrated Internet and MANET;improving mapreduce performance through complexity and performance based data placement in heterogeneous hadoop clusters;online recommendation of learning path for an e-learner under virtual university;a parallel 2-approximation NC-algorithm for range assignment problem in packet radio networks;and an efficient localization of nodes in a sensor network using conflict minimization with controlled initialization.

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Cabinet: Managing Data Efficiently in the Global Federated File System

Cabinet: Managing Data Efficiently in the Global Federated F...

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ieee 9th international conference on e-Science (e-Science)

作者： Kalyanaraman, Avinash Grimshaw, Andrew Univ Virginia Dept Comp Sci Charlottesville VA 22904 USA

ISBN: (纸本)9780769550831

With ever expanding datasets, efficient data management in grids becomes important. this paper describes Cabinet which employs two techniques for efficiently managing data in grids- a caching system and a new file staging approach called coordinated staging. the caching system is designed based on the characteristics of grid applications. Coordinated staging is based on the BitTorrent Protocol model and is specifically designed for High throughput computing (HTC) applications, a common use-case for grids. In coordinated staging, each site that is assigned to execute an individual job of the HTC application treats other execution sites as potential replica-stores. In our evaluation, we show that coordinated staging lowered the download time of a file by 3.85x, and increased the throughput of the download by 2.86x over the conventional approach of file transfer from a single source.

关键词： grids file staging big data distributed file systems

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Multi-agent approach for resilience enhancement in wireless sensor and actuator networks 17

Multi-agent approach for resilience enhancement in wireless ...

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17th Joint World Congress of international Fuzzy systems Association and 9th international conference on Soft computing and Intelligent systems, IFSA-SCIS 2017

作者： Januário, Fábio Cardoso, Alberto Gil, Paulo NOVA Departamento de Engenharia Electrotécnica Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa Monte de Caparica Portugal CISUC Centre for Informatics and Systems of the University of Coimbra Coimbra Portugal CTS-UNINOVA Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa Monte de Caparica Portugal

ISBN: (纸本)9781509049172

Recent advances on networked devices, with different communication structures and capabilities, are reshaping the network communications-based supervision, while raising new challenges. In particular, as a result of the integration of control systems with state of the art information technologies, new uncertainties, not only from the tangible physical world, but also from a cyber-space perspective, are brought into play. One of the most vulnerable components of these systems is the wireless nodes, which can have a major impact on the overall systems' performance. this paper focus on the development of a hierarchical multi-agent framework for resilience enhancement over wireless sensor and actuator networks. Experimental results collected from a laboratory IPv6 based test-bed comprising distributed computational devices and heterogeneous communications, show unequivocally the relevance and inherent benefits of the proposed approach. © 2017 ieee.

关键词： Actuators

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indexPDT: A High Scalable distributed Classification Approach with Novel Cache Structure for Geo-location 25

indexPDT: A High Scalable Distributed Classification Approac...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Sun, Zhijie Li, Jing Xie, Jun Zheng, Binfan Zeng, Li Zhao, Rongqian Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9798350330014

Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measured by the mobile communication network. the geographic location information can help to support network performance monitoring and evaluation. Considering accuracy and cost, we mainly adopt a hybrid location scheme combined with feature matching location and Weighted Centroid Correction Location (WCCL). As for feature matching location, over 20 billion samples gathered from tens of thousands of cells daily updated. Due to the vast data scale, feature analysis encounters a severe performance bottleneck. To address this problem, we design the indexed parallel decision tree (indexPDT) operator and integrate it into WindTensor, a self-innovated distributed machine learning (ML) engine. indexPDT is a classifier unit of the random forest (RF) algorithm with a novel cache structure. It performs structured cache processing on the dataset's meta-information, which can accompany the splitting of nodes. the cache structure can be quickly converted into statistical information to help find the optimal splitting point, effectively reducing memory usage and improving performance. Under the public datasets testing on 5 nodes, the mean speedup ratios are 86x and 3x compared with SparkML and XGBoost, respectively. In the Geo-location scenario, for a single cell, the speedup ratios are 82x and 4x compared with SparkML and XG Boost, respectively. © 2023 ieee.

关键词： Location

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9th international conference on computing and Information Technology, IC2IT 2013

9th International Conference on Computing and Information Te...

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9th international conference on computing and Information Technology, IC2IT 2013

ISBN: (纸本)9783642373701

the proceedings contain 29 papers. the topics discussed include: critical issues and information security and managing risk;improved computational intelligence through high performance distributed computing;identifying limbic characteristics on twitter;mobile agent administrator for computers over network (MAACN): using the concept of keyboard buffer;impact of multi-services over service provider's local network measured by passive and active measurements techniques;performance evaluation of LEACH on cluster head selection techniques in wireless sensor networks;wireless sensor network planning for fingerprint based indoor localization using ZigBee: empirical study;CAPWAP protocol and context transfer to support seamless handover;intelligent cloud service selection using agents;a new method of privacy preserving computation over 2-part fully distributed data;and enhancing the efficiency of dimensionality reduction using a combined linear SVM weight with relief feature selection method.

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Stigmergy based Autonomous Shop Floor Control with Wireless sensor Networks

Stigmergy based Autonomous Shop Floor Control with Wireless ...

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9th ieee international conference on Industrial Informatics (INDIN)

作者： Shi, Ke Qin, Xuan Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan Peoples R China Huazhong Univ Sci & Technol Off Sci & Technol Dev Hangzhou Peoples R China

ISBN: (纸本)9781457704345

the paper deals with the production process control in dynamic shop floor with unforeseen inside and outside disturbances occurring frequently. the emerging wireless sensor network technology is proposed to implement autonomous shop floor control that can improve shop floor performance by distributed and flexible coping of complexity and dynamics. A wireless sensor network based control structure is presented, in which the parts and machines embedded with sensor nodes have the abilities of communicating, computing and decision-making. Based on the proposed structure, a stigmergy based control algorithm is developed to provide efficient and adaptive manufacturing process control. this algorithm imitates ants foraging behavior to enable the active parts autonomously decide efficient processing operations and routing paths in dynamic shop floor based on pheromone. To demonstrate the feasibility and advantage of the proposed control structure and algorithm, a prototype implementation is developed, and experiments are being made with this prototype implementation. the experiment results illustrate the advantages of the proposed approach and its capacity to surmount perturbations.

关键词： Control systems Manufacturing Process control Prototypes sensors throughput Wireless sensor networks adaptive control adaptive manufacturing process control ants foraging behavior dynamic shop floor pheromone process control production control production process control sensor node shop floor performance stigmergy based autonomous shop floor control stigmergy based control algorithm wireless sensor network wireless sensor networks

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jNode: A sensor network platform that supports distributed inertial kinematic monitoring

jNode: A sensor network platform that supports distributed i...

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9th international conference on Networked Sensing systems, INSS 2012

作者： Scholl, Philipp M. Van Laerhoven, Kristof Gordon, Dawud Scholz, Markus Berning, Matthias Embedded Sensing Systems ESS Technische Universität Darmstadt Germany Pervasive Computing Systems TecO Karlsruhe Institute of Technology Germany

ISBN: (纸本)9781467317856

Because of the intrinsic advantages of wireless inertial motion tracking, standalone devices that integrate inertial motion units with wireless networking capabilities have gained much interest in recent years. Several platforms, both commercially available and academic, have been proposed to balance the challenges of a small form-factor, power consumption, accuracy and processing speed. Applications include ambulatory monitoring to support healthcare, sport activity analysis, recognizing human group behaviour, navigation support for humans, robots and unmanned vehicles, but also in structural monitoring of large buildings. this paper provides an analysis of the current state-of-the-art platforms in wireless inertial motion tracking and presents a novel open-source and open-hardware hybrid tracking platform that is extensible, low-power, flexible enough to be used for both short- and long-term monitoring and based on a firmware that allows it to be easily adapted after being deployed. © 2012 ieee.

关键词： Wireless sensor networks

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Neural-Network based Structural Health Monitoring with Wireless sensor Networks

Neural-Network based Structural Health Monitoring with Wirel...

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9th international conference on Natural Computation (ICNC)

作者： Xie, Xiaobo Guo, Junqi Zhang, Hongyang Jiang, Tao Bie, Rongfang Sun, Yunchuan Beijing Normal Univ Coll Informat Sci & Technol Beijing 100875 Peoples R China Beijing Normal Univ Coll Business Adm & Econ Beijing Peoples R China

ISBN: (纸本)9781467347143

Wireless sensor networks, which enjoy increasing interests in the field of personal and ubiquitous computing, have recently been regarded as a promising candidate for structural health monitoring. this paper proposes a neural-network based structural health monitoring scheme by using wireless sensor networks, in which hundreds of sensor nodes perform distributed sensing and collaborative computing for structural health analysis. Since vibration frequencies of architectural or mechanical structures imply their health status, structural health problems can be detected through processing vibration frequency data collected by sensors. Artificial neural-network based machine learning algorithm is then employed for data processing. After constructing samples of training data in healthy and unhealthy status respectively, data coming from sensors are tested and classified into a certain category which indicates health status of monitoring structure. Simulation results demonstrate that the proposed scheme achieves not only higher accuracy of structural health monitoring but also more robust performance against environmental noises and interferences, compared with some existing methods.

关键词： Neural-Network Wireless sensor Network Structural Health Monitoring

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Summary instance: Scalable event priority determination engine for large scale distributed event-based system

Summary instance: Scalable event priority determination engi...

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2012 ieee 9th international conference on Services computing, SCC 2012

作者： Shi, Ruisheng Zhang, Yang Chen, Junliang Cheng, Bo Qiao, Xiuquan Wu, Budan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9780769547534

With the advent of ubiquitous sensor-rich environments and location-based services, distributed event-based systems based on the publish/subscribe communication paradigm are becoming very important and crucial. In many large-scale distributed mission critical areas, publish/subscribe systems must support a large number of geographically distributed publishers and subscribers and ensure real-time event data to be delivered timely. the concern is that a large number of low priority events may clog the channel thereby causing high priority events to get delayed. the challenge raised for the event-based middleware in large-scale distributed system is that event priority determination engine must be efficient and scalable in term of priority rule size and event throughputs. Checking every rule for priority on-the-fly is not friendly to the cache. this paper proposed an innovative approach based on Bloom filter technique. this approach is cache friendly and the online computation time of event priority determination is independent of the rule size. this approach is based on two ideas: make the online queries as simple as possible and exploit the power of cache on the broker. the rule instantiation engine (RIE) is made offline while online part is the priority determination engine (PDE). A Bloom filter data structure is used by RIE to store the rule instances and their priorities. the complex rule evaluation is reduced to set membership testing as queries on Bloom filters. the PDE makes the querying simplified by event discretization. Results are then cached in the broker caches. Finally, we have an analysis on the system complexity and some open issues. the further evaluation with prototype experiments are under development and the results may be found in our later publication. © 2012 ieee.

关键词： Engines

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An Algorithm for Resource Positioning Service in IoT Cloud systems 9

An Algorithm for Resource Positioning Service in IoT Cloud S...

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9th international conference on Service Science, ICSS 2016

作者： Gao, Yafeng Li, Haibo He, Ting College of Computer Science and Technology Huaqiao University China Xiamen Enterprise Interoperability and Business Intelligence Engineering Research Xiamen China

ISBN: (纸本)9781509027279

Resource positioning in cloud computing system under the support of the Internet of things (IoT) is very important, especially for distributed collaborative task. Position-based services is used to collect, process, store and distribute position information. Taking a typical collaborative task - cloud manufacturing as the background, in view of resource positioning service, an algorithm supported by Wireless sensor Networks (WSN) is proposed, called WOCA (Weighted Optimized Combination Algorithm). Firstly, n signals received from base station are divided into C(n,3) groups, and the positioning result obtained by trilateral positioning algorithm respectively. Next, considering the plurality of weighting factors, the proper ratio coefficient is assigned to each of them by the degree of influence on the accuracy, and then the weights of each group were calculated accordingly. Finally, obtaining weighted positioning result by computing each group with the corresponding weights. the experimental results show the validity of the proposed algorithm. © 2016 ieee.

关键词： Wireless sensor networks

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