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Bilateral sampling randomized singular value decomposition 17

Bilateral sampling randomized singular value decomposition

引用

17th international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Jiang, Hao Du, Peibing Sun, Tao Li, Housen Cheng, Lizhi Yang, Canqun Natl Univ Def Technol Sch Sci Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China Max Planck Inst Biophys Chem Am Fassberg 11 D-37077 Gottingen Germany Natl Univ Def Technol State Key Lab High Performance Computat Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Sci & Technol Parallel & Distributed Proc L Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781509050819

Designing fast singular value decomposition (SVD) is significantly interesting in applications. the random direct SVD (RSVD) has provided a fast scheme to compute the well approximate SVD by unilateral randomized sampling. In this paper, we present an efficient random algorithm in a bilateral sampling way. We also prove that the proposed algorithms can be bounded well and have less computational complexity compared to RSVD when the objective matrix is approximately square. Numerical experiments on graph Laplacian and Hilbert matrix demonstrate the efficiency and stability of the proposed methods.

关键词： Low-rank Singular value decomposition Randomized methods Bilateral sampling Stable

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An intelligent cloud computing architecture supporting e-Governance

An intelligent cloud computing architecture supporting e-Gov...

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2011 17th international conference on Automation and computing, ICAC 2011

作者： Sharma, Rajkumar Kanungo, Priyesh Vikram University Ujjain India Patel College of Sc. and Technology Indore India

ISBN: (纸本)9781467300001

the development of high speed Internet access, Web 2.0 applications and Virtualization techniques have made Cloud computing a leading edge technology. A user in 'Cloud' runs web based application over Internet via browser with a look and feel of desktop program. Cloud computing provides dynamically scalable and virtualized resources as a service over the network at a nominal initial investment. Data-center works as backbone in Cloud computing where a large number of servers are networked to host computing & storage needs of the users. the area which needs more attention is Latency Optimization for cloud architecture to work as ubiquitous as expected. Many data intensive applications produce enormous amounts of data which travel on cloud network. As the cloud users grow, cloud architecture should accommodate movement of voluminous data to avoid data congestion in the network. In this paper, an intelligent & energy efficient Cloud computing architecture is proposed based on distributed data-centers to support application and data access from local data-center with minimum latencies. It was found that the proposed architecture is efficient for business entrepreneurs, suitable to apply for e-Governance and provides a green eco-friendly environment for Cloud computing. © 2011 CACSUK.

关键词： Cloud computing architecture

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A Mechanism for Sequential Consistency in a distributed Objects System 17

A Mechanism for Sequential Consistency in a Distributed Obje...

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17th international conference on Parallel and distributed computing Systems, PDCS 2004

作者： Ţǎpuş, Cristian Nogin, Aleksey Hickey, Jason White, Jerome California Institute of Technology Computer Science Department MC 256-80 PasadenaCA91125 United States

ISBN: (纸本)9781618398185

this paper presents a new protocol for ensuring sequential consistency in a distributed objects system. the protocol is efficient and simple. In addition to providing a high-level overview of the protocol, we give a brief discussion of the implementation details. We also provide a mathematical model that we used to prove the correctness of our approach. © (2004) by the international Society for Computers and their Applications All rights reserved.

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Research on low delay audio convolution algorithm combining mobile and cloud 21

Research on low delay audio convolution algorithm combining ...

引用

21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Cai, Xilong Hu, Wei Wang, Yonghao College OfComputer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System Wuhan China DMT Lab Birmingham City University Birmingham United Kingdom

ISBN: (纸本)9781728120584

Nowadays, intelligent mobile devices become most wide mobile multimedia terminals. But limited by performance and battery life, traditional audio architectures and algorithms cannot meet increasingly complex processing requirements. In this paper, the traditional audio convolution algorithm and audio architecture are analyzed. Based on the optimization of the block convolution algorithm, and combined with the cloud GPU, a dynamic task allocation low latency convolution algorithm is proposed under cloud hybrid systems. the experimental results show that the convolution algorithm can effectively reduce the workload of the mobile terminal, reduce the CPU usage of the mobile terminal, and realize the real-time audio mixing processing in complex scenes on mobile terminals with limited performance. © 2019 IEEE.

关键词： Graphics processing unit

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distributed differentially private matrix factorization based on ADMM 21

Distributed differentially private matrix factorization base...

引用

作者： Xue, Erkang Guo, Ruixin Zhang, Feng Wang, Lizhe Zhang, Xiaohan Qu, Guangzhi School of Computer Science China University of Geosciences Wuhan China Department of Engineering and Computer Science Oakland University Rochester United States

ISBN: (纸本)9781728120584

Matrix factorization (MF) is an essential technique to implement intelligent recommender systems widely applied in industry. Privacy and efficiency are two essential issues concerning MF. We leverage two techniques, differential privacy (DP) and distributed computing, to address the two concerns, respectively. (1) Differentially private MF is still challenging since conventional strategies lead to significant error accumulation;we adopt the objective function perturbation technique to tackle such a challenge. (2) We adopt the alternating direction method of multipliers (ADMM) framework to parallelize the factorization to improve performance;to implement this parallelization, we adopt the effective matrix split method and introduce a novel integration strategy for distributed DP based on the post-processing theorem. We identify our work as distributed differentially private MF based on ADMM. the novelty of the work rests in that it is the first to successfully integrate the two innovative techniques to address both privacy and efficiency for MF. We establish the mathematical model and conduct experiments to validate the soundness of our idea. the experimental results based on industrial datasets show that the distributed differentially private MF algorithm provides scalable speedup performance within a limited precision loss while preserving user privacy. © 2019 IEEE.

关键词： Collaborative filtering

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A Study on the Implementation of intelligent Navigational Risk Assessment System with IoT Sensor 8

A Study on the Implementation of Intelligent Navigational Ri...

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Joint 8th international conference on Soft computing and intelligent Systems (SCIS) / 17th international Symposium on Advanced intelligent Systems (ISIS)

作者： Kim, Do-yeon Kim, Kil-yong Park, Gyei-kark Jeong, Jung-sik GMT Co Ltd E Navigat Ctr Seongnam South Korea Mokpo Natl Maritime Univ Dep Int Maritime Transportat Sci Mokpo South Korea

ISBN: (纸本)9781509026784

Recent maritime trading volume has been growing continuously and being activated marine leisure market. the government has to control the sea traffic volume through the facility operations such as maritime traffic centers. But more complex marine traffic situation in these trends, according to trend are marine accidents continue to occur. Marine accidents have a difficult characteristic to recover when if suffered environmental and human damage. there is also a trend, scale of the accident has been increased in size. High-risk vessels (such as Cruise ships, Tankers) are required monitoring and analysis of the detailed situation than the general ship. there have been a variety of research in order to solve the problem. However, the data elements are reflected in the shore with the current maritime are only limited information about AIS, Radar information. We are implementing IoT sensor interfacing system capable of transmitting various ship sensing data to the shore-side system and also proposing a Safe Navigation Status Analysis System utilizing the collected data.

关键词： Ship IoT sensor sensor connection safe navigation navigational analysis correlation

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EFIS - Ecological Fuel-consumption intelligent System 17

EFIS - Ecological Fuel-consumption Intelligent System

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17th Annual IEEE international conference on distributed computing in Sensor Systems (IEEE DCOSS)

作者： Sanches, Matheus F. Oliveira, Maria Vitoria R. Ciceri, Oscar J. Ladeira, Lucas Z. Garcia, Islene C. da Fonseca, Nelson L. S. Villas, Leandro A. Univ Estadual Campinas Inst Comp BR-13089971 Campinas SP Brazil

ISBN: (纸本)9781665439299

the demographic growth in cities has increased carbon dioxide (CO2) emissions, a significant problem that challenges societies worldwide. the CO2 emission raises the pollution levels causing health risks for the people and contributes to climate change. Moreover, the transportation sector is responsible for 20.6% of CO2 emissions. thus, it is necessary to reduce vehicle fuel consumption to minimize CO2 emissions. this paper proposes a system based on artificial intelligence techniques: a fuzzy controller and a neural network to find the instantaneous speed, which reduces vehicle fuel consumption. the proposed system employs only vehicle and highway information, which means communication between vehicles is not required. the simulation scenario comprises a loaded truck traveling through a highway with slopes based on a data set. Results derived from simulation show that both techniques produce a lower fuel consumption than the standard Simulation of Urban MObility (SUMO) algorithm.

关键词： Fuel Consumption Genetic Algorithm Neural Network Fuzzy

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Development of electrostatic decay time intelligent test instrument and software design 17

Development of electrostatic decay time intelligent test ins...

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17th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing, SNPD 2016

作者： Li, Hui Shi, Xiaohua Lin, Kejun Yu, Hongyu First Engineers Scientific Research Institute Engineer Equipment Software Testing Center Wuxi China

ISBN: (纸本)9781509022397

the problems come from ESD become more and more serious. To evaluate the capability of ESD protection of materials entirely, design a multi-function electrostatic charge decay intelligent test instrument based on single chip compute. It adopts a new kind of efficient electrostatic decay time test scheme, so as to satisfy test condition that different materials have the same initial and terminal potential, and make test results not influenced by Cross-Over effect. then introduce the system composition and operating principle of intelligent test instrument, and describe the specific software design method from man-machine interaction function, electrostatic potential measurement function and decay time calculation function, finally perform charging method test research with designed intelligent test instrument and analyze the test results. © 2016 IEEE.

关键词： Software design

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Research and Application of intelligent Distribution Network Planning for Multi-source Data Fusion 17

Research and Application of Intelligent Distribution Network...

引用

17th IEEE international conference on Mobility, Sensing and Networking (MSN)

作者： Wang, Zhe Zhao, Hongda Zhu, Mingxia State Grid Jiangsu Elect Power Co Ltd Econ & Technol Res Inst Nanjing Peoples R China

ISBN: (纸本)9781665406680

In the power system, the distribution network plays a vital role. With the increase of power demand, traditional distribution network planning is difficult to meet the demand while ensuring power supply reliability and power quality. Based on big data technology, we propose the intelligent planning of distribution network for multi-source data fusion, and use the unit system planning of distribution network as the core construction content of intelligent planning research and application. intelligent planning of the distribution network can better respond to the problems and challenges faced by the power grid.

关键词： smart grid power distribution system Multi-source Data Fusion

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An Agent-Based Cooperative Work technology for distributed Web Meeting Scheduling 17

An Agent-Based Cooperative Work Technology for Distributed W...

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17th IEEE international conference on Cognitive Informatics and Cognitive computing (ICCI*CC)

作者： Wang, Hongbo Zeng, Guangping Tu, Xuyan Univ Sci & Technol Beijing Dept Comp Sci & Technol Sch Comp & Commun Engn Beijing 100083 Peoples R China

ISBN: (纸本)9781538633601

Meeting scheduling deals with resource allocation, which has been extensively discussed in the field of distributed artificial intelligence. the conference consultation has a great demand for those related participants. Agent technology can reflect the characteristics of humanoid social organization and incarnate flexible behavior, when it disposes this kind of scheduling problem. this paper describes an improved meeting scheduling negotiation model, a detailed analysis, and its specific implementations are given. the meeting scheduling system consists of web interface and background program based on Multi-Agents System, and achieves the Multi-Agents system which is based on distributed computing environment by a web GUI to access its management.

关键词： Oriented Agent Brain-Inspired Cooperative Systems Negotiation Model Web Interface

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