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检索条件"任意字段=8th IFIP International Conference on Network and Parallel Computing"

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RBF Neural network Based on K-means Algorithm with Density Parameter and Its Application to the Rainfall Forecasting 8th

RBF Neural Network Based on K-means Algorithm with Density P...

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8th ifip WG 5.14 international conference (CCTA)

作者： Xing, Zhenxiang Guo, Hao Dong, Shuhua Fu, Qiang Li, Jing Northeast Agr Univ Coll Water Conservancy & Civil Engn Harbin 150030 Peoples R China Collaborat Innovat Ctr Grain Prod Capac Improveme Harbin 150030 Peoples R China Minist Agr PRC Key Lab Agr Water Resources Higher Efficient Util Harbin 150030 Peoples R China Heilongjiang Prov Hydrol Bur Harbin 150001 Peoples R China

ISBN: (纸本)9783319196206;9783319196190

the Radial Basis Function (RBF) neural network is a feed-forward artificial neural network with strong approximation capability. A K-means algorithm based on density parameter was introduced to determine clustering center aimed to improve the training rate of the RBF. It could reduce sensitivity of traditional K-means algorithm for initial clustering centers. A rainfall forecasting model of RBF based on K-means algorithm was built, which was applied to forecast monthly rainfall in Shuangyashan City during the flood season, aiming to test the effectiveness of this model. the case study showed that the mean relative error of rainfall forecasting in flood season (from June to September) of the year 2006, 2007 and 2008 was 10.81%, and the deterministic coefficient was 0.95. It demonstrated a higher forecasting accuracy comparing to a RBF model based on a standard K-means algorithm and BP (Back Propagation) model, and the rainfall forecasting results satisfied the requirements of hydrologic prediction.

关键词： Rainfall forecasting Radial Basis Function Neural network Density parameter K-means

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Research on Building Technology of Aquaculture Water Quality Real-Time Monitoring Software Platform 1

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8th ifip WG 5.14 international conference (CCTA)

作者： Ma, Yinchi Ding, Wen Li, Wentong Beijing Fisheries Res Inst Beijing 100068 Peoples R China Natl Engn Res Ctr Freshwater Fisheries Beijing 100068 Peoples R China

ISBN: (数字)9783319196206

ISBN: (纸本)9783319196206;9783319196190

At present, the information level of the aquaculture water quality monitoring is relatively backward in China. Building a digital, networked, intelligent real-time dynamic aquaculture water quality monitoring system by the modern electronic information technology, communications technology and wireless sensor network technology will have an important significance for the factory aquaculture technological innovation. the system is not only able to detect the main indicators of the aquaculture water quality (temperature, PH, dissolved oxygen, turbidity, ammonia, etc.) in real-time, but also be able to do the data fusion and data mining through its software platform, and establish the water quality indicators historical database. this software platform can achieve display and analysis of the local or remote monitoring data in real-time and dynamically, which can provide an important technical means and scientific basis to improve the water utilization effectively, and reduce the pollutant emission in aquaculture. this article will focus on the building technology of the system software platform.

关键词： aquarium wireless sensor network software platform monitoring

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Real-Time Data Reduction at the network Edge of Internet-of-things Systems 11

Real-Time Data Reduction at the Network Edge of Internet-of-...

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11th international conference on network and Service Management (CNSM)

作者： Papageorgiou, Apostolos Cheng, Bin Kovacs, Ernoe NEC Labs Europe Heidelberg Germany

ISBN: (纸本)9783901882777

the expected huge increase in the number of IoT data sources (sensors, embedded systems, personal devices etc.) will give rise to network-edge computing, i.e., data pre-processing, local storage, and filtering close to the data sources. Specifically, data reduction at the network edge (e.g., on an IoT gateway device or a mini-server deployed locally at an IoT area network) can prevent I/O bottlenecks, as well as dramatically reduce storage, bandwidth, and energy costs. However, current solutions face two main obstacles towards achieving this benefits of network-edge computing. Firstly, the most efficient algorithms for data reduction of time series (which is one of the prevailing kinds of data in IoT) are developed to work a posteriori upon big datasets and they cannot take decisions per incoming data item. Secondly, the state of the art lacks systems that can apply any of many different possible data reduction methods without adding significant delays or heavyweight re-configurations. this paper presents a solution that automates the switching between different data handling algorithms at the network edge, including an analysis of adjusted data reduction methods, as well as three flavors of a new algorithm that is capable of performing real-time reduction of incoming time series items based on the concept of Perceptually Important Points. the potential benefits are evaluated upon real datasets from street, household, and robot sensors, showing that our solution achieves accuracies between 76,1 % and 93,8 % despite forwarding only 1/3 of the data items, without adding significant forwarding delays.

关键词： Data reduction

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Comparison of Methods for Forecasting Yellow Rust in Winter Wheat at Regional Scale 8th

Comparison of Methods for Forecasting Yellow Rust in Winter ...

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8th ifip WG 5.14 international conference (CCTA)

作者： Nie, Chenwei Yuan, Lin Yang, Xiaodong Wei, Liguang Yang, Guijun Zhang, Jingcheng Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China

ISBN: (纸本)9783319196206;9783319196190

Yellow rust (YR) is one of the most destructive diseases of wheat. To prevent the prevalence of the disease more effectively, it is important to forecast it at an early stage. To date, most disease forecasting models were developed based on meteorological data at a specific site with a long-term record. Such models allow only local disease prediction, yet have a problem to be extended to a broader region. However, given the YR usually occurs in a vast area, it is necessary to develop a large-scale disease forecasting model for prevention. To answer this call, in this study, based on several disease sensitive meteorological factors, we attempted to use Bayesian network (BNT), BP neural network (BP), support vector machine (SVM), and fisher liner discriminant analysis (FLDA) to develop YR forecasting models. Within Gansu Province, an important disease epidemic region in China, a time series field survey data that collected on multiple years (2010-2012) were used to conduct effective calibration and validation for the model. the results showed that most methods are able to produce reasonable estimations except FLDA. In addition, the temporal dispersal process of YR can be successfully delineated by BNT, BP and SVM. the three methods of BNT, BP and SVM are of great potential in development of disease forecasting model at a regional scale. In future, to further improve the model performance in disease forecasting, it is important to include additional biological and geographical information that are important for disease spread in the model development.

关键词： Yellow rust Disease forecast Bayesian network (BNT) BP neural network (BP) support vector machine (SVM) fisher liner discriminant analysis (FLDA)

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

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8th India Software Engineering conference, ISEC 2015

ISBN: (纸本)9781450334327

the proceedings contain 25 papers. the topics discussed include: Pravaaha: mining android applications for discovering API call usage patterns and trends;verb-based semantic modeling and analysis of textual requirements;reengineering enterprise wide legacy BFSI systems industrial case study;SARAthI: characterization study on regression bugs and identification of regression bug inducing changes: a case-study on Google chromium project;analyzing dependencies in an industrial automation engineering system;simplifying web programming;an automated approach for bug categorization using fuzzy logic;predicting object-oriented software maintainability using hybrid neural network with parallel computing concept;and lack of conceptual cohesion of methods : a new alternative to lack of cohesion of methods.

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Formal Reliability Analysis of Wireless Sensor network Data Transport Protocols using HOL 11

Formal Reliability Analysis of Wireless Sensor Network Data ...

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11th IEEE international conference on Wireless and Mobile computing, networking and Communications (WiMob)

作者： Ahmed, Waqar Hasan, Osman Tahar, Sofiene Natl Univ Sci & Technol Sch Elect Engn & Comp Sci Islamabad Pakistan Concordia Univ Dept Elect & Comp Engn Montreal PQ H3G 1M8 Canada

ISBN: (纸本)9781467377010

In recent times, Wireless Sensor networks (WSNs) have shown a great potential for monitoring physical or environmental conditions in a variety of safety and financialcritical applications, ranging from medicine to transportation and surveillance. Given the extreme conditions of most of the WSN environments, it is very important to make WSN communication resilient to network failures. Various data transport protocols have been proposed in the literature to serve this purpose. the reliability of these WSN data transport protocols is usually assessed by using Reliability Block Diagrams (RBDs). Traditionally, RBD-based reliability analyses of WSN data transport protocols is done using paper-and-pencil proofs or computer simulations, which cannot ascertain absolute correctness due to their inherent incompleteness. As a complementary approach, we propose to use the higher-order-logic theorem prover HOL to conduct the RBD-based reliability analysis of WSN data transport protocols. In particular, the paper provides a higher-order-logic formalization of series, parallel and parallel-series RBDs. these RBDs are then used to do the formal reliability analysis of the end-to-end (e2e) data transport mechanism, and the Event to Sink Reliable Transport (ESRT) and Reliable Multi-Segment Transport (RMST) data transport protocols.

关键词： Wireless sensor networks

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Exploiting Staleness for Approximating Loads on CMPs 24

Exploiting Staleness for Approximating Loads on CMPs

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24th international conference on parallel Architecture and Compilation (PACT)

作者： Rengasamy, Prasanna Venkatesh Sivasubramaniam, Anand Kandemir, Mahmut Das, Chita R. Penn State Univ University Pk PA 16802 USA

ISBN: (纸本)9781467395243

Coherence misses are an important factor in limiting the scalability of multi-threaded shared memory applications on chip multiprocessors (CMPs) that are envisaged to contain dozens of cores in the imminent future. this paper proposes a novel approach to tackling this problem by leveraging the growingly important paradigm of approximate computing. Many applications are either tolerant to slight errors in the output or if stringent, have in-built resiliency to tolerate some errors in the execution. the approximate computing paradigm suggests breaking conventional barriers of mandating stringent correctness on the hardware, allowing more flexibility in the performance-power-reliability design space. Taking the multi-threaded applications in the SPLASH-2 benchmark suite, we note that nearly all these applications have such inherent resiliency and/or tolerance to slight errors in the output. Based on this observation, we propose to approximate coherence-related load misses by returning stale values, i.e., the version at the time of the invalidation. We show that returning such values from the invalidated lines already present in d-L1 offers only limited scope for improvement since those lines get evicted fairly soon due to the high pressure on d-L1. Instead, we propose a very small (8 lines) Stale Victim Cache (SVC), to hold such lines upon d-L1 eviction. While this does offer significant improvement, there is the possibility of data getting very stale in such a structure, making it highly sensitive to the choice of what data to keep, and for how long. To address these concerns, we propose to time-out these lines from the SVC to limit their staleness in a mechanism called SVC+ TB. We show that SVC+ TB provides as much as 28.6% speedup in some SPLASH-2 applications, with an average speedup between 10-15% across the entire suite, becoming comparable to an ideal execution that does not incur coherence misses. Further, the consequent approximations have little impact on the

关键词： Approximate computing Coherence Caches

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A GPU-based fast solution for Riesz space fractional reaction-diffusion equation 18

A GPU-based fast solution for Riesz space fractional reactio...

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18th international conference on network-Based Information Systems (NBiS)

作者： Wang, Qinglin Liu, Jie Gong, Chunye Zhang, Yang Xing, Zuocheng Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc Lab Changsha 410073 Hunan Peoples R China Sci & Technol Space Phys Lab Beijing 10076 Peoples R China Natl Univ Def Technol Coll Aerosp Sci & Engn Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781479999422

the fast numerical solutions of Riesz fractional equation have computational cost of O(NMlogM), where M, N are the number of grid points and time steps. In this paper, we present a GPU-based fast solution for Riesz space fractional equation. the GPU-based fast solution, which is based on the fast method using FFT and implemented with CUDA programming model, consists of parallel FFT, vector vector addition and vector-vector multiplication on GPU. the experimental results show that the GPU-based fast solution compares well with the exact solution. Compared to the known parallel fast solution on 8-core Intel E5-2670 CPU, the overall performance speedup on NVIDIA GTX650 GPU reaches 2.12 times and that on NVIDIA K20C GPU achieves 10.93 times.

关键词： parallel computing GPU fractional differential equation FFT fast solution

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Improving the Reliability and the Performance of CAPE by Using MPI for Data Exchange on network 1

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1st international conference on Mobile, Secure, and Programmable networking (MSPN)

作者： Van Long Tran Renault, Eric Viet Hai Ha Telecom SudParis Inst Mines Telecom Evry France Hue Univ Coll Educ Hue Vietnam

ISBN: (数字)9783319257440

ISBN: (纸本)9783319257440;9783319257433

CAPE - which stands for Checkpointing Aided parallel Execution - has demonstrated to be a high-performance and compliant OpenMP implementation for distributed memory systems. CAPE is based on the use of checkpoints to automatically distribute jobs of OpenMP parallel constructs to distant machines and to automatically collect the calculated results on these machines to the master machine. However, on the current version, the data exchange on networks use manual sockets that require time to establish connections between machines for each parallel construct. Furthermore, this technique is not really reliable due to the risk of conflicts on ports and the problem of data exchange using stream. this paper aims at presenting the impact of using MPI to improve the reliability and the performance of CAPE. Both socket and MPI implementations are analyzed and discussed, and performance evaluations are provided.

关键词： CAPE OpenMP MPI High-performance computing parallel programming

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parallel Architectures and Compilation Techniques - conference Proceedings, PACT

Parallel Architectures and Compilation Techniques - Conferen...

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24th international conference on parallel Architecture and Compilation, PACT 2015

the proceedings contain 48 papers. the topics discussed include: phase aware warp scheduling: mitigating effects of phase behavior in GPGPU applications;NVMMU: a non-volatile memory management unit for heterogeneous GPU-SSD architectures;exploiting inter-warp heterogeneity to improve GPGPU performance;scalable SIMD-efficient graph processing on GPUs;parallel methods for verifying the consistency of weakly-ordered architectures;stadium hashing: scalable and flexible Hashing on GPUs;TSXProf: profiling hardware transactions;ALEA: fine-grain energy profiling with basic block sampling;towards general-purpose neural network computing;practical near-data processing for in-memory analytics frameworks;scalable task scheduling and synchronization using hierarchical effects;PENCIL: a platform-neutral compute intermediate language for accelerator programming;communication avoiding algorithms: analysis and code generation for parallel systems;and exploiting program semantics to place data in hybrid memory.

关键词： Neural networks

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