作者:
Xu, XinWang, WeiLu, JiahengChen, JinNRIEE
Sci & Technol Informat Syst Engn Lab Nanjing Jiangsu Peoples R China Nanjing Univ
State Key Lab Novel Software & Technol Nanjing 210008 Jiangsu Peoples R China Renmin Univ
Key Lab Data Engn & Knowledge Engn Beijing Peoples R China Michigan State Univ
Dept Energy Plant Res Lab E Lansing MI 48824 USA Michigan State Univ
Dept Comp Sci & Engn E Lansing MI 48824 USA
In the age of big data, the emitter parameter measurement data is generally characteristic of uncertainty in the form of normally-distributed intervals, enormous size and continuous growth. However, existing interval-...
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ISBN:
(纸本)9783319251592;9783319251585
In the age of big data, the emitter parameter measurement data is generally characteristic of uncertainty in the form of normally-distributed intervals, enormous size and continuous growth. However, existing interval-valued data analysis methods generally assume a uniform distribution instead and are unable to adapt to the rapid growth of volume. To address the above problems, we have brought forward an incremental distributed weighted class discriminant analysis method on interval-valued emitter parameters. Extensive experiments indicate that our method is able to cope withthese new characteristics effectively.
In popular online social networks, there are various kinds of user behavior (e.g. retweeting, posting hashtags on Twitter;wall-posting, commenting on Facebook). At the same time there exist different kinds of relation...
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We propose an extreme-scale distributed design exploration framework in the inter-cloud infrastructure consisting of supercomputers and cloud computing systems. In design explorations, we need to search optimal config...
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We propose an extreme-scale distributed design exploration framework in the inter-cloud infrastructure consisting of supercomputers and cloud computing systems. In design explorations, we need to search optimal configurations of input parameters that maximize or minimize objective function(s). In our framework, simulations are performed in parallel employing multiple supercomputers of the Japanese nation-wide high-performance computing infrastructure, and virtual or real machines in academic cloud systems are employed for parameter surveys and optimizations with machine learning. To enable nation-wide scale collaborations of supercomputers and cloud systems, we employ scalable distributed databases and objective storages to store input design parameters and resulting output information generated by simulations.
ARINC 653 applications using event synchronization may result in behaviors unexpected by the programmers when concurrency bugs, such as race conditions, occur due to their non-deterministic executions. Previous tools ...
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ARINC 653 applications using event synchronization may result in behaviors unexpected by the programmers when concurrency bugs, such as race conditions, occur due to their non-deterministic executions. Previous tools do not consider race conditions for debugging ARINC 653 applications. this paper presents a visualization tool, called ConpathView that intuitively shows the aspect of the process execution with race conditions and the accesses to the shared memories based on the event services in ARINC 653 applications.
Within this keynote, selected research topics from the field of inter-organizatioanal elastic processes will be discussed, with a focus on the key challenges maintainability, reliability and correctness of such elasti...
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Within this keynote, selected research topics from the field of inter-organizatioanal elastic processes will be discussed, with a focus on the key challenges maintainability, reliability and correctness of such elastic processes. For this, concrete research questions regarding process alignment, variation, validation, development, change propagation, change analysis, monitoring, security & privacy, scaling, and fault tolerance will be presented.
Network virtualization functions (NFV) and software-defined networking (SDN) are changing the landscape of the telecommunications industry, particularly infrastructure and network systems of Telco operators withthe i...
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ISBN:
(纸本)9780769556970
Network virtualization functions (NFV) and software-defined networking (SDN) are changing the landscape of the telecommunications industry, particularly infrastructure and network systems of Telco operators withthe introduction of cloud computing, paradigms of virtualization and software approaches. In this paper, we describe a demonstrator which shows how IT technologies reduce the time of deployment of a wireless infrastructure. In less than 60s, a wireless LTE network is available for connecting Smartphone's. In this demo, the eNodeB, virtualized using docker containers, is orchestrated by OpenStack heat.
the adoption of distributed database architectures for processing large data sets has shown to be an effective approach to reduce the response time of data analysis procedures. the same approach may be adopted on biol...
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the adoption of distributed database architectures for processing large data sets has shown to be an effective approach to reduce the response time of data analysis procedures. the same approach may be adopted on biological databases, which comprise vast amounts of data that are analyzed to detect genetic diseases, to understand their causing factors and to design process-blocking substances. Defining how data will be fragmented over several network nodes, though, is a non-trivial task. In this work, we have applied a recently proposed methodology for distributed data allocation to create several topology scenarios in a cloud computing infrastructure aiming to improve the performance of data analysis procedures. the proposed scenarios were evaluated using modMine, which is an instance of the Intermine Data warehouse, as case study.
the basis for the design of real-time capable control and state estimation strategies for mechanical systems withdistributed parameters is the derivation of suitable system models. these models lead to state-space re...
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the basis for the design of real-time capable control and state estimation strategies for mechanical systems withdistributed parameters is the derivation of suitable system models. these models lead to state-space representations that are, on the one hand, sufficiently accurate to capture the dominant Features oft, he system dynamics. On the other baud, the dimensionality of these models has to be limited to a reasonable size to make sure that the resulting control and state estimation approaches can be implemented in real time. therefore, a huge amount of work has been performed in recent, years which is related to early lumping techniques. By using these techniques, the governing partial differential equations are replaced by sets of ordinary differential equations before the control and estimator design is performed. In this paper, both local and global approximation of the system dynamics are compared in simulations these approximation are determined either by using a finite element, representation that, is based on the Method of Integrodifferential Relations (MIDR) or, alternatively, by a global Ritz ansatz. Especially the MIDR approach allows for the derivation of system models which exactly fulfill energy conservation laws as well as boundary and inter-element conditions. (C) 2015, IFAC (international Federation of Automatic (control) Hosting by Elsevier Ltd. All rights reserved.
Classification tool based on the Kohonen artificial neural network was designed and implemented. the tool attended to be used at high performance computing clusters and distributed systems like computing Grids. Propos...
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Classification tool based on the Kohonen artificial neural network was designed and implemented. the tool attended to be used at high performance computing clusters and distributed systems like computing Grids. Proposed tools were applied to classification of ultrasonic medical diagnostic data. Testing of the classifying system showed more than 90% recognition accuracy for certain diagnoses.
distributed Power take advantage of clean new energy sources, combined withthe actual situation of the country, flexible and efficient power generation, has been valued by all countries of the world. distributed gene...
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distributed Power take advantage of clean new energy sources, combined withthe actual situation of the country, flexible and efficient power generation, has been valued by all countries of the world. distributed generation in the power system is used widely on the existing distribution network system to produce a far-reaching impact. DG access to the distribution network, to ensure the reliability of its contribution to the distribution grid, distribution network automation and protection put forward higher requirements. In this paper, distributed power at different voltage levels with wiring grid, DG access distribution network access point, the access distribution analysis DG way impact on the reliability of the power grid and power distribution network, to incorporate DG Research on Protective Relaying algorithm for Distribution provides after a theoretical basis.
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