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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

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Research on Optimization of distributed Big Data Real-Time Management Method

Research on Optimization of Distributed Big Data Real-Time M...

引用

international conference on Smart City and systems.Engineering

作者： Ping Lin Chi Feng Industry Vocational Technology College The Department of Machinery and Automation

ISBN: (纸本)9781728113678;9781728113661

In order to solve the problems of poor data compatibility and poor management effect in the current distributed big data real-time management method, optimizing the distributed data real-time management method by cloud computing. Firstly, the data features are extracted by using the cloud computing method, and are transmitted to the data feature management set for real-time management according to the extraction result. The data real-time management process is optimized according to the feature set to achieve the research goal of simplifying the data management process and optimizing the data management effect. The experimental results show that the optimized distributed big data real-time management method has a significant improvement compared with the traditional method. Data classification compatibility is relatively better, fully meeting the actual needs of current management of massive data.

关键词： distributed databases Real-time systems Big Data Cloud computing Feature extraction Task analysis Data mining

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Application of Deep Learning Method in Short-term Load Forecasting of Characteristic Enterprises 18

Application of Deep Learning Method in Short-term Load Forec...

引用

international conference on Artificial Intelligence and Cloud computing (AICCC)

作者： Dou, Yuchen Zhang, Xinman Wu, Zhihui Zhang, Hang Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Shaanxi Peoples R China Guangdong Xian Jiaotong Univ Acad 3 Daliangdesheng East Rd Foshan 528000 Guangdong Peoples R China

ISBN: (纸本)9781450366236

Short-term load forecasting is an important basic work for the normal operation and control of power systems. The results of power load forecasting have a great impact on dispatching operation of the power system and the production operation of the enterprise. Accurate load forecasting would help improve the safety and stability of power system and save the cost of enterprise. In order to extract the effective information contained in the data and improve the accuracy of short-term load forecasting, this paper proposes a long-short term memory neural network model (LSTM) with deep learning ability for short-term load forecasting combined with clustering algorithm. Deep learning is in line with the trend of big data and has a strong ability to learn and summarize large amounts of data. Through the research on the characteristics and influencing factors of the characteristic enterprises, the collected samples are clustered to establish similar day sets. This paper also studies the impact of different types of load data on prediction and the actual problem of input training sample selection. The LSTM prediction model is built with subdividing and clustering the input load sample set. Compared with other traditional methods, the results prove that LSTM proposed has higher accuracy and applicability.

关键词： Short-term Load Forecasting Deep Learning Long-short Term Memory Neural Network Model Clustering Algorithm Similar Day Set

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PhyCS 2016 - proceedings of the 3rd international conference on Physiological computing systems

PhyCS 2016 - Proceedings of the 3rd International Conference...

引用

3rd international conference on Physiological computing systems. PhyCS 2016

ISBN: (纸本)9789897581977

The proceedings contain 17 papers. The topics discussed include: a systematic assessment of operational metrics for modeling operator functional state;evaluating body tracking interaction in floor projection displays with an elderly population;how are we connected? - measuring audience galvanic skin response of connected performances;automatic detection and recognition of human movement patterns in manipulation tasks;effect of a real-time psychophysiological feedback, its display format and reliability on cognitive workload and performance;measuring the effect of classification accuracy on user experience in a physiological game;space connection - a multiplayer collaborative biofeedback game to promote empathy in teenagers: a feasibility study;and detecting and capitalizing on physiological dimensions of psychiatric illness.

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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

引用

3rd European conference of Software Engineering Education, ECSEE 2018

ISBN: (纸本)9781450363839

The proceedings contain 18 papers. The topics discussed include: learning tasks for software engineering education;teaching students critical appraisal of scientific literature using checklists;an activity-based undergraduate software engineering course to engage students and encourage learning;using competency-oriented instructional tasks for internal differentiation in informatics;teaching global software engineering: experience report comparing distributed, virtual collaborative courses at the bachelor's and master's levels;eye tracking metrics in software engineering;robot tutoring: on the feasibilty of using cognitive systems.as tutors in introductory programming education - a teaching experiment;a preliminary report on gamifying a software testing course with the code defenders testing game;MIRTO: an open-source robotic platform for education;acquisition of practical skills in the protected learning space of a scientific community;a legacy game for project management in software engineering courses;effects of a preliminary programming course on students' performance;ubiquitous learning applied to coding;experiences in introducing blended learning in an introductory programming course;introducing a deployment pipeline for continuous delivery in a software architecture course;scrum as a method of teaching software architecture;and evaluating didactic approaches used by teaching assistants for software analysis and design using UML.

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Security Solutions for Local Wireless Networks in Control Applications based on Physical Layer Security

Security Solutions for Local Wireless Networks in Control Ap...

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3rd IFAC conference on Embedded systems. Computational Intelligence and Telematics in Control (CESCIT)

作者： Weinand, Andreas Karrenbauer, Michael Schotten, Hans D. Univ Kaiserslautern Inst Wireless Commun & Nav Kaiserslautern Germany

The Design of new wireless communication systems.for industrial applications, e.g. control applications, is currently a hot research topic, as they deal as a key enabler for more flexible solutions at a lower cost compared to systems.based on wired communication. However, one of their main drawbacks is, that they provide a huge potential for miscellaneous cyber attacks due to the open nature of the wireless channel in combination with the huge economic potential they are able to provide. Therefore, security measures need to be taken into account for the design of such systems. Within this work, an approach for the security architecture of local wireless systems.with respect to the needs of control applications is presented and discussed. Further, new security solutions based on Physical Layer Security are introduced in order to overcome the drawbacks of state of the art security technologies within that scope. (C) 2018, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Security Safety Reliability Internet of things Telecommunication-based automation systems Remote and distributed control

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A Study of distributed MOEA/D Based on Spark Framework 19

A Study of Distributed MOEA/D Based on Spark Framework

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19th IEEE international conference on High Performance computing and Communications (HPCC) / 15th IEEE international conference on Smart City (SmartCity) / 3rd IEEE international conference on Data Science and systems.(DSS)

作者： Zhang, Defu Ma, Yingdong Chen, Jinxiu Xiamen Univ Dept Comp Sci Xiamen Peoples R China

ISBN: (纸本)9781538625880

We carry out a careful study of Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) and propose some implementation schemas in the Spark Framework. Focusing on the setting of weight vectors, we propose two partitioning schemas, which define the distribution mode for the algorithm. The first partitioning schema is to define a partition by a group of weight vectors that are close to each other. The other schema is to distribute close weights to different partitions. Experiments in distributed framework indicate that, for most benchmarks, the schemas in distributed framework can obtain better results and better performance in expansibility.

关键词： multi-objective optimization decomposition distributed computation evolutionary algorithm

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Management of distributed Electrical Storage in Wide Area Communication systems 19

Management of Distributed Electrical Storage in Wide Area Co...

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作者： Feihn, Heinz Ulrich Boehmer Hinkle, Mark A. Kenyon, Richard Wallace Mickelson, Alan Univ Colorado 1111 Engn Dr Boulder CO 80309 USA

ISBN: (纸本)9781538625880

Centralized electrical storage system management in islanded micro-grids is treated both theoretically and experimentally. An overview of the types of distributed islands in Wi-Fi Long Distance networks is the starting point, followed by examples of WiLDNets and associated reliability problems. Presentation of an archetypical tree structure communication system serves to introduce a centralized management system that may be used to improve reliability of multi-community private networks. An existing Wi-Fi long distance testbed with distributed storage serves as an islanded micro-grid for experimental study. Centralized management algorithms are tested. The results are generalized to the case of large meshed communication system.

关键词： computers sensors monitoring modeling

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IGBSG 2018 - 2018 international conference on Intelligent Green Building and Smart Grid

IGBSG 2018 - 2018 International Conference on Intelligent Gr...

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3rd international conference on Intelligent Green Building and Smart Grid, IGBSG 2018

ISBN: (纸本)9781538606612

The proceedings contain 63 papers. The topics discussed include: the study of a neural network based motor drive for a range hood;an experimental study on the flashover of 10kv indoor and outdoor power apparatus insulators;differential power processing converter solutions for grid-connected and emerging photovoltaic applications;adequacy evaluation of power system with wind energy considering steady-state frequency response;optimal allocation of charging stations for electric vehicles in the distribution system;research on solving method of security constrained unit commitment based on improved stochastic constrained ordinal optimization;the interference characteristics of HF radar caused by wind turbine in shortwave frequency;optimal economic dispatch for intelligent community micro-grid considering demand response;performance testing of NoSQL and rdBMS for storing big data in e-applications;design and implementation of a power consumption management system for smart home over fogcloud computing;antenna design and evaluation for 920 MHz passive RFID tag in monitoring and tracking system;cascading failures in power systems. a network perspective;a large-swing class-AB differential amplifier for driving heavy resistive loads;a high-voltage integrated bipolar pulse generator for ultrasound scanner applications;and a 10-bit area-efficient DAC with voltage-average technique for TFT-LCD column driver ICs.

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Power Allocation for Multiple Targets Range-only Tracking in Widely distributed MIMO Radar systems 3

Power Allocation for Multiple Targets Range-only Tracking in...

引用

3rd IEEE international conference on Computer and Communications (ICCC)

作者： Song, Xiyu. Chen, Song Zhang, Jingzhi Zhang, Long China Natl Digital Switching Syst Engn & Technol Zhengzhou Peoples R China

ISBN: (纸本)9781509063529

Considering the demands of different location estimation performance and less computational complexity for multiple targets tracking, we present a power allocation scheme in distributed multiple-input multiple-output (MIMO) radar systems. Restricted by different location estimation mean square error (MSE) requirements and transmitted power upper bound, combining sequential parameter convex approximation (SPCA) algorithm and heuristic allocation (HA) algorithm, we propose a modified SPCA (MSPCA) algorithm to address the non-convex optimization problem so that the total power budget can be minimized. Extensive simulation results indicate that, compared with uniform allocation (UA) algorithm and HA algorithm, the proposed algorithm presents approximate optimal power budget with much less computational complexity.

关键词： distributed multiple-input multiple-output (MIMO) radar target tracking power allocation

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Information models and information exchange in plant-wide monitoring and control of industrial processes 10

Information models and information exchange in plant-wide mo...

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10th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018

作者： Hästbacka, David Kannisto, Petri Vilkko, Matti Laboratory of Pervasive Computing Tampere University of Technology Korkeakoulunkatu 1 TampereFI-33720 Finland Laboratory of Automation and Hydraulic Engineering Tampere University of Technology Korkeakoulunkatu 3 TampereFI-33720 Finland

ISBN: (纸本)9789897583308

The efficiency of industrial processes depends on how well the processes can be controlled and this affects the quality, use of resources as well as the environmental impact. Advanced monitoring and control solutions for large-scale industrial processes require information from different systems. The challenge in integration is diverse messaging structures and lack of common semantics in exchange of information between related information systems.as well as their human operators. This paper provides a comparison of some of the existing standards of the domain defining suitable structures. Based on these, a model for data and event message structures is developed. The approach builds on a separation of concerns keeping the messaging semantics independent of the transport layer. The requirement is to enable also asynchronous communication as adapters are often needed in distributed environments with heterogeneous systems.and communication protocols. The developed structures have been found suitable for communicating measurements and events in industrial process settings as shown by case examples. © 2018 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Semantics

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