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共 17242 条记录，以下是4971-4980 订阅

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Batched Pattern-Aware Cache Management Strategy for Astronomical Time Series Sub-images Retrieval 22

Batched Pattern-Aware Cache Management Strategy for Astronom...

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22nd ieee international conference on High Performance computing and Communications, 18th ieee international conference on Smart City and 6th ieee international conference on Data science and Systems, HPCC-SmartCity-DSS 2020

作者： Sun, Chao Kang, Qinlong Yu, Ce Wang, Jie Hu, Xiaoteng Tianjin University College of Intelligence and Computing Tianjin300350 China

ISBN: (纸本)9781728176499

Astronomical research has entered an era of big data as the astronomical science data are so rich and keep increasing dramatically. A hotspot event (e.g., discovering the supernova explosion) can attract massive access to image data covering a small sky area in a short period of time, these data are just a drop in the ocean of archived data. For further study in the event, efficient acquisition of required target images is a prerequisite for specific research. Astronomical images are usually stored in the FITS (Flexible Image Transport System) format, with image sizes ranging from Megabytes (MB) to Gigabytes (GB). It is time-consuming to cut the time series subimages from the FITS images in the archived layer directly. If FITS sub-images are cached for the next query, a large amount of data access with subtle differences in target sky area range will cause frequent data caching and replacement. Therefore, we designed Batched Pattern-Aware (BPA) cache management strategy, which is optimized for massively concurrent access to the time series sub-images covering small interested sky area. Based on a hierarchical storage strategy to manage archived images and cached sub-images, the Batched Pattern Aware mechanism optimizes massively concurrent requests in the query queue within a short time. By preprocessing these concurrent requests, the correlation between the request history and the current requests are considered to reduce data erasure at the cache layer, improve the cache hit rate and shorten average response time. This strategy makes up for the shortcoming of considering only long-Term historical requests and ignoring the current request status. experimental results show that the proposed BPA strategy can achieve a higher cache hit ratio among 9 algorithms, the average response time can be reduced by at least 46.30% comparing with the others. © 2020 ieee.

关键词： Time series

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grid text retrieval based on deep learning

Grid text retrieval based on deep learning

引用

2020 ieee international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2020

作者： Rao, Zhuyi Zhang, Yunxiang Shenzhen Power Supply Bureau Co. Ltd Electric Power Dispatching No. 39 Central Road Futian District Shenzhen518001 China

ISBN: (纸本)9781728152240

The Internet of Things (IOT) have developed rapidly in recent years, which produces a vast amount of data including the electronic text data and the distributed data etc. These massive data hide a wealth of useful information and knowledge, and analyze them on the needs of users and assess the effect of products has a great significance. Therefore, it is an urgent problem to propose an efficient method of grid text retrieval. As is known to all, deep learning models are the most effective way to deal with massive data. In our paper, we will use an effective deep learning model to retrieve the grid text. i.e., the Deep Boltzmann Machines model (DBMs). The DBMs model is an effective text clustering algorithm. In particular, DBMs integrate a special energy function and use a layer-by-layer pre-training phase, which can make model more effective. The design of deep structure also enables the DBMs to extract the good text representations. The experimental results show that the DBMs model gets the desirable effect in handling with an extract abstract concept and has a good performance in large scale grid text clustering. © 2020 ieee.

关键词： Internet of things

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Small-Signal Modelling and Analysis of Converter Interactivity in Low-Voltage DC grid

Small-Signal Modelling and Analysis of Converter Interactivi...

引用

international conference on computing, Communication & Automation (ICCCA)

作者： Himansu Sahoo Santanu Kapat Bhim Singh Indian Institute of Technology Delhi New Delhi India Indian Institute of Technology Kharagpur Kharagpur India

ISBN: (纸本)9781665447539

Due to easy amalgamation with sustainable energy sources, storage units and electric loads, DC grid system is getting more research attention in current times. With the aim of achieving a reliable as well as flexible DC common bus system, it is preferred to operate multiple DC-DC converters in parallel connected architecture. However, due to the parallel connection among converters, coupling effect is observed during the operation. For a smooth controlling of overall system, proper modelling needs to be done. This paper analyses a detailed small signal based model approach for parallel connected DC converters operating with droop control algorithm. An approximation of small ripple in inductor current is considered for modelling. effect of coupling is taken in to account during modelling process. The presence of cable resistance has direct effect on location of zero in the right-half-plane for derived control to individual converter output voltage transfer function. The controller is designed using the coupled model to achieve suitable stability margin. The correctness of designed model and controller is verified using simulation studies.

关键词： Couplings Analytical models Computational modeling Transfer functions Computer architecture Control systems Topology

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Novel Information Repository for Smart environment

Novel Information Repository for Smart Environment

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2020 ieee international conference for Innovation in Technology, INOCON 2020

作者： Yadawad, Ranganath Kulkarni, Umakant P Sdm College of Engineering and Technology Dept. of Comnputer Science and Engineering Dharwad India

ISBN: (纸本)9781728197449

The rapid progress in the field of IoT has been enriching the idea of Ubiquitous computing. The Internet of Things(IoT) ecosystem involves HCI i.e. it involves users and technologies that helps in satisfying users' needs in terms of smart environment. For such environments it is necessary to structure all the data and define relationships among all the data that makes smart context. This paper proposes a concept, which is a step towards standardizing self-aware hierarchical structure for the data repository, that enables any IoT device to be smart and hence facilitates context aware communication among IoT devices. © 2020 ieee.

关键词： Ubiquitous computing

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Fast grid SLAM Based on Particle Filter with Scan Matching and Multithreading

Fast Grid SLAM Based on Particle Filter with Scan Matching a...

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ieee international conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Pedrosa, eurico Pereira, Artur Lau, Nuno Univ Aveiro Dept Elect Telecommun & Informat Inst Elect & Informat Engn Aveiro P-3810193 Aveiro Portugal

ISBN: (纸本)9781728170787

This paper presents a SLAM solution based on Rao-Blackwellized particle filters supported by a fast scan matching algorithm for pose refinement and a flexible space management data structure. By taking advantage of independence between particles its computational efficiency is further improved through multithreading. We have evaluated the efficiency of the solution by using several publicly available datasets and compared the results with the popular solution GMapping. The obtained results show the proposed approach provides a fast and accurate particle filter SLAM suitable for real-time operations.

关键词： SLAM particle filter scan matching multithreading

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An Optimal Channel Bonding Strategy for ieee 802.11be 4th

An Optimal Channel Bonding Strategy for IEEE 802.11be

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4th eAI international conference on Smart grid and Internet of Things, SGIoT 2020

作者： Sun, Ke Yan, Zhongjiang Yang, Mao Li, Bo School of Electronics and Information Northwestern Polytechnical University Xi’an China

ISBN: (纸本)9783030695132

Although there are a large number of available channels that can be bonded together for data transmission in the next generation WLAN, i.e., ieee 802.11be protocol, it may cause long data transmission time to transmit large files due to the inefficient channel bonding strategies. This paper proposes an optimal channel bonding strategy based on the optimal stopping theory. Firstly, under the constraint of the number of available channels, the problem of minimizing the transmission time of large files is formulated as an optimal stopping problem, where the time duration of large file transmission is defined as the sum of channel accessing time and data transmission time after successful access into the channel, Secondly, the threshold of successful bonded channel number is derived based on the optimal stopping theory. When the channel access is successful, data transmission is performed if the number of bondable channels is larger than the threshold. Otherwise this data transmission opportunity is dropped and channel competition is resumed. The simulation results show that, compared with the traditional eDCA if access-success then-transmit strategy and the fixed bonding channel number threshold strategy, the data transmission completion time of large file is shortened by more than 40%. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering.

关键词： Data transfer

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Clustering Nodes in a Directed Acyclic Graph By Identifying Corridors of Coherent Flow 6

Clustering Nodes in a Directed Acyclic Graph By Identifying ...

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6th ieee international energy conference (ieee eNeRGYCON) - energy Transition for Developing Smart Sustainable Cities

作者： John, John Jacob Beiranvand, Arash Cuffe, Paul Univ Coll Dublin Sch Elect & Elect Engn Dublin Ireland

ISBN: (纸本)9781728129563

This paper proposes a novel method for clustering nodes based on prevailing power flow conditions within a power grid. To this end, first, the network's active power flow state is modelled as a directed acyclic graph. This digraph explicitly represents where power is flowing and this can help in monitoring and analysing system vulnerabilities. The directed acyclic graph representation also allows easy identification of those buses that solely provide or absorb active power: these are pure source and sink nodes, respectively. An iterative path-finding procedure is applied to every node in the system, to enumerate the sources that is fed by, and the downstream sinks towards which it forwards power. The novel clustering algorithm is then applied, to group together those nodes which share the same set of reachable sources and sinks. This novel clustering methodology is proposed in the first instance as a tool to boost the situational awareness of control room operators by better summarising aggregate power flow dispositions in large grids. The proposed methodology is applied to two sample grids, and an analogy to river systems is articulated, applying such notions as tributaries, distributaries and the central mainstream to electrical networks.

关键词： Clustering algorithms

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Adaptive Sorting Method of Big Data with Scattered Defects Based on Cloud computing 13

Adaptive Sorting Method of Big Data with Scattered Defects B...

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13th international conference on Intelligent Computation Technology and Automation, ICICTA 2020

作者： Wen, Liu Fen, Liu Dangdang, Dai Huan, Xu Xiangli, Peng State Grid Wuhan Electric Power Supply Company 420014 China Information and Communication Branch of Hubei Epc 430000 China

ISBN: (纸本)9781728186665

In order to better sort the massive scattered defect data and ensure the effect of data processing, an adaptive sorting method based on cloud computing is proposed. In order to improve the convergence of data, multi-objective processing is carried out in the cloud computing environment. Combined with the fuzzy adaptive sorting algorithm, the difference value of multi-objective variation is calculated to achieve the balanced adjustment of variation data. In order to speed up the data convergence, balance the local optimal sorting value, obtain the initial value of scattered defect data, and complete the adaptive sorting of scattered defect big data. Finally, experiments show that the adaptive sorting method based on cloud computing can better repair and accurately sort the scattered data, and improve the data convergence effect. © 2020 ieee.

关键词： Cloud computing

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Information modeling and verification method for edge computing of power internet of things 9

Information modeling and verification method for edge comput...

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9th ieee Joint international Information Technology and Artificial Intelligence conference, ITAIC 2020

作者： Li, Dawei Chen, Xiaolu Song, Chunhe Yu, Shimao Start Grid Shanghai Information Telecommunication Company Shanghai200122 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

There are various types of power Internet of Things terminals, and a unified edge-side information fusion model is the basis of data unification. This article describes the unified modeling method of power Internet of Things terminal information, and describes the construction method of the Internet of Things terminal information model from three aspects: attribute, message and service. Combined with the characteristics of the electric power Internet of Things information model, a model verification method is given. Finally, through the terminal data on the edge side of the power Internet of Things, the feasibility and effectiveness of the model verification method are verified. © 2020 ieee.

关键词： Internet of things

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Influence of Humidity on the Dielectric Breakdown Properties of Nitrogen Switchgears

Influence of Humidity on the Dielectric Breakdown Properties...

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international conference on High Voltage engineering and Application, ICHVe

作者： Haibo Su Yuyang Yao Yong Wang Le Gu Fangqing Zheng Junxiang Liu Lu Zhu Test and Research Institute Guangzhou Power Supply Bureau Guangdong Power Grid Co. Ltd Guangzhou China State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407519

Nitrogen is an environmentally friendly insulating medium gas most commonly used in medium-voltage (MV) gas switchgear. In this paper, the effect of humidity on the insulating property of nitrogen switchgears, namely, a small amount of water impurities mixed in N2 on dielectric breakdown characteristics of gas mixtures for a temperature range from 300 K to 4000 K at pressure of 0.1 MPa is analyzed. First of all, based on the Gibbs minimum free energy, the equilibrium composition of hot humid N2 with different water impurities fractions is calculated. Then, by solving the 2-term Boltzmann equation, the electron energy distribution functions is devoted to computing. The reduced ionization coefficient (α/N), the reduced attachment coefficient (IJ/N), and the reduced effective ionization coefficient (αeffIN) are then obtained based on the electron energy distribution functions. eventually, the critical reduced electric field ( $e$ / $N$ )cr is calculated. The result shows that the ( $e$ / $N$ )cr of the humid N2 vary with the concentration of water impurities. Additionally, it is important fundamental data for the evaluation of the dielectric breakdown characteristics of N2 insulated switchgears with a small amount of water impurities.

关键词： Water Temperature distribution Impurities Switchgear Ionization Humidity Medium voltage

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