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检索条件"主题词=filtering algorithm"

共 185 条记录，以下是121-130 订阅

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Research of information system based on Intranet security algorithm 7

Research of information system based on Intranet security al...

引用

Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2015)

作者： Zhan Gaofeng Jiang Yong Minist Publ Secur PRC Res Inst 1 Beijing 100048 Peoples R China

ISBN: (纸本)9781467371438

the rapid development of science and technology, rapid progress in computer technology, global Intranet information system. How to protect information security, security elite network become one of the research problem. I was just on the basis of predecessors' research, aiming at specific problems, this paper proposes a multi structure elements, the superposition of morphological filtering algorithm.

关键词： Intranet Client/Server Morphology filtering algorithm

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Location-Aware Publish/Subscribe 13

Location-Aware Publish/Subscribe

引用

19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

作者： Li, Guoliang Wang, Yang Wang, Ting Feng, Jianhua Tsinghua Univ Dept Comp Sci Beijing Peoples R China Coordinat Ctr China Natl Comp Network Emergency Response Tech Team Beijing Peoples R China

ISBN: (纸本)9781450321747

Location-based services have become widely available on mobile devices. Existing methods employ a pull model or user-initiated model, where a user issues a query to a server which replies with location-aware answers. To provide users with instant replies, a push model or server-initiated model is becoming an inevitable computing model in the next-generation location-based services. In the push model, subscribers register spatio-textual subscriptions to capture their interests, and publishers post spatio-textual messages. This calls for a high-performance location-aware publish/subscribe system to deliver publishers' messages to relevant subscribers. In this paper, we address the research challenges that arise in designing a location-aware publish/subscribe system. We propose an R-tree based index structure by integrating textual descriptions into R-tree nodes. We devise efficient filtering algorithms and develop effective pruning techniques to improve filtering efficiency. Experimental results show that our method achieves high performance. For example, our method can filter 500 tweets in a second for 10 million registered subscriptions on a commodity computer.

关键词： Location-aware Publish/Subscribe filtering algorithm

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Unscented Kalman Filter for Higher Index Nonlinear Differential-Algebraic Equations 19

Unscented Kalman Filter for Higher Index Nonlinear Different...

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19th International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Alkov, Ilja Weidemann, Dirk Univ Appl Sci Bielefeld Inst Syst Dynam & Mechatron Bielefeld Germany

ISBN: (纸本)9781479950812

This contribution concerns the unscented Kalman filter (UKF) for higher index nonlinear differential-algebraic equation (DAE) systems. First, a short introduction to DAE systems is given. A solution concept for nonlinear DAE systems is discussed focusing on properties which are essential for the application of the UKF algorithm. The introduction of a stochastic noise in DAE systems and the contrast to stochastic ordinary differential equations (ODE) are described subsequently. Further, the unscented Kalman filter algorithm is reviewed and former filtering approaches considering DAE systems are summarized. Finally, a direct generalized state estimation approach for higher index nonlinear DAE systems utilizing the UKF is proposed. Particularly, the estimation of the DAE inconsistent generalized state is permitted and several concepts for the consistent DAE initialization in the prediction step of the filtering algorithm are proposed. A simple example demonstrates the advantages of the proposed approach.

关键词： Kalman filters algebra nonlinear differential equations nonlinear filters DAE initialization DAE systems ODE UKF filtering algorithm higher index nonlinear differential-algebraic equations stochastic ordinary differential equations unscented Kalman filter Equations Estimation Indexes Mathematical model Noise Stochastic processes Kalman filters filtering algorithms Ordinary differential equation Nonlinear filters nonlinear differential equations Markov chain Algebra Mathematical Model differential algebraic equations Noise solution concept Stochastic Processes

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Filter-Enhanced Multi-interest Network for Sequential Recommendation 8th

Filter-Enhanced Multi-interest Network for Sequential Recomm...

引用

8th International Joint Conference on Web and Big Data and Web-Age Information Management (APWeb-WAIM)

作者： Cui, Mingyu Peng, Zhaohui Chu, Yaohui Lu, Jikun Tan, Yashu Shandong Univ Sch Comp Sci & Technol Qingdao Peoples R China

ISBN: (纸本)9789819772315;9789819772322

As the user base and the diversity of interests increase, extracting a single user representation vector has gradually become a bottleneck in modeling multiple user interests. Recent works have shown that capturing the multi-interest representation of users improves recommendation accuracy. However, user behavior sequences exist noise due to user's mistakes or other factors. The noise and interest-irrelevant items vary for user diverse interests, and lead to inefficient multi-interest extraction and suboptimal performance. To this end, we propose a novel Filter-Enhanced Multi-Interest network for sequential Recommendation, named FEMIRec. First, we devise interest-oriented adaptive filters to mitigate the influence of noise and interest-irrelevant items for each user interest. Then, the multi-interest extractor leverages the denoised sequence representations to generate more effective multi-interest embeddings. To supervise the attenuation of interest-specific noise, we design an interest-specific noise-attenuation loss as a supervision signal, which utilizes the similarity weight calculated from the target denoised sequence and the target item as a soft label. Extensive experiments on three real-world datasets demonstrate the effectiveness FEMIRec.

关键词： multi-interest recommendation filtering algorithm recommender system

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Performance of Drivable Path Detection System of Autonomous Robots in Rain and snow Scenario

Performance of Drivable Path Detection System of Autonomous ...

引用

1st International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Yinka, Agunbiade O. Ngwira, Selemon M. Tranos, Zuva Sengar, Prateek S. Tshwane Univ Technol Pretoria South Africa

ISBN: (纸本)9781479928668

Drivable path detection is an important factor to consider for a successful development of autonomous robot which is characterized as an intelligent vehicle. Researchers using different vision-based techniques have achieved remarkable result toward drivable path detection. Regardless of this achievement, environmental noise such as rain and/or snow can cause misdetection of drivable path which can lead to autonomous robot accident. In this paper, after investigating the effects of rain and/or snow, we introduced into the drivable path detection system a filtering algorithm that addresses the detection and removal of rain and/or snow for the optimization of the system. Experiments were carried out to show the effectiveness of the filter in the system. The results show that filtering algorithm assists the autonomous driving system in navigating perfectly during rain and/or snow scenario with minimal accident.

关键词： Autonomous robot Vision-based System filtering algorithm Environmental Noise and Navigation

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Restoration of Information in On-Board Information and Controlling Complexes of Movable Objects in Emergency Situations 2

Restoration of Information in On-Board Information and Contr...

引用

2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS)

作者： Mashkov, Oleg Kosenko, Viktoriya State Ecol Acad Postgrad Educ & Management St Metropolitan Vasily Lipkivsky 35 UA-03035 Kiev Ukraine

The technology of estimation of efficiency of methods of information recovery in on-board information-control complexes of moving objects in emergency situations caused by failures of hardware and software parts of on-board information-control complexes is offered. The proposed approach is considered as one of the steps of ensuring the functional stability of complex dynamic objects. Functional stability is considered as a property of a dynamic system, which is the ability to perform at least a set volume of its functions when failures in the information, computing, energy parts of the system, as well as external influences that are not foreseen by the operating conditions. It is proposed to provide functional stability in real time by performing the following actions: control of the state of functioning of a complex management system and detection of the fact of disturbances of its functioning (formation of the team "Accident");identification of the cause of the fact of malfunctions in real time (localization of the place of damage of functioning and / or detection of unauthorized disturbances);shutting down the damaged parts or compensating for the effects of unauthorized disturbances on the general real-time control system;redistribution of system resources (information, computing, power) to ensure the functioning of the management system (possibly with impaired performance) in real time. It is determined that the implementation of functional stability can be achieved by the introduction into the complex dynamic system of various forms of redundancy (structural, functional, information, etc.) and the readiness of the operator of the dynamic object to control movement during a sudden reconfiguration of the complex. A mathematical model is proposed that allows you to build functional stability when using an automated control system for a complex dynamic object. The peculiarities of the application of the method of optimal filtration in emergencies caused by the evo

关键词： filtering algorithm On-Board Information-Control Complex Failures Information Recovery Dynamic System Identification Markov Chain Emergency Situation Optimal Filtration Functional Stability

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URBAN VEGETATION MAPPING BASED ON THE HJ-1 NDVI RECONSTRCTION 23

URBAN VEGETATION MAPPING BASED ON THE HJ-1 NDVI RECONSTRCTIO...

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23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

作者： Feng Li Liu Han Zhu Liujun Huang Yinyou Guo Song Hohai Univ Dept Geog Informat Sci Nanjing 211000 Jiangsu Peoples R China Univ Calif Davis Geog Grad Grp Davis CA 95616 USA Monash Univ Dept Civil Engn Clayton Vic 3800 Australia Nanjing Univ Dept Geog Informat Sci Nanjing 210023 Jiangsu Peoples R China

HJ-1A/B NDVI (HJ NDVI) time-series data possess relatively high spatio-temporal resolution which is significant for the research on urban areas. However, its application is hindered by noise resulting from the restrictions of imaging quality and limits of the satellite platform. The NDVI noise reduction is necessary. Some noise-reduction techniques including the asymmetric Gaussian filter (AG), the double logistic filter (DL), the Savitzky-Golay (S-G) filter and the harmonic analysis (Hants) of NDVI time-series have been used to carry out the NDVI time series reconstruction, and based on the comparison results of different filter, S-G filter is the optimal in the application on urban areas. Finally, urban vegetation mapping is carried out based on the new HJ NDVI.

关键词： HJ-1 NDVI Urban vegetation mapping Nanjing city filtering algorithm

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Research on the recovery system of the fixed wing swarm based on the robotic vision in the marine environment 19

Research on the recovery system of the fixed wing swarm base...

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19th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Yu, Ren Li, Qi Li, Decai He, YuQing Shenyang Univ Technol Shengyang Sch Mech Engn Shenyang 110870 Peoples R China Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Peoples R China Chinese Acad Sci Inst Robot & Intelligent Mfg Shenyang 110016 Peoples R China

ISBN: (数字)9781665408530

ISBN: (纸本)9781665408530;9781665408523

The use of the robotic arm to achieve the recovery of the unmanned aerial vehicles(UAV) has a broad applications in the marine environment;however, due to the complexity of the marine environment(such as the cloud and snow weather, and the high light intensity), in the process of the recovery of the UAVs, the relative position relationship between the robotic arm and the UAV can not be accurately reflected based on the existing methods of the machine vision. In this work, the visual recognition algorithm based on the aruco code of the binocular camera is proposed to solve the above problem. Firstly the median filtering process is added to eliminate the salt and pepper noise in the process of the visual recognition of the two-dimensional code. Then, a new binary conversion method is carried out to obtain the accurate relative position between the robotic arm and the UAV. Finally, based on the information of the relative position, the robotic arm carries out the path planning and the control to realize recovery. The experiments indicate that in cloud and snow weather, the recovery system based on the robot vision can recovery the UAV effectively.

关键词： Autonomous recycling Visual recognition Robotic arm filtering algorithm robotic vision

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Research on scene parsing algorithm cascading object detection network 20

Research on scene parsing algorithm cascading object detecti...

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20th IEEE International Conference on Computational Science and Engineering (CSE) / 15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC)

作者： Guo, Xi Wen, Yuanzhen Ma, Dongyuan Jin, Yuhui Yu, Haitao Beihang Univ Sch Software Beijing 100191 Peoples R China Tencent Technol Shenzhen LI Shenzhen 518057 Peoples R China Transportat Informat Ctr Beijing 100073 Peoples R China

ISBN: (纸本)9781538632215

Using deep learning for visual scene parsing will satisfy the demand of the next generation of automatic driving technology. However, current parsing algorithms are not mature enough for practical applications unless higher accuracy and efficiency are obtained. We propose a novel scene parsing algorithm framework which integrates the object detection technologies into convolution neural network to improve the overall effectiveness. The framework consists of three components: i) a scene parsing network presenting primary semantic segmentation result. ii) an object detection network calculating the location and confidence of the targets in images. iii) an integration and filter module that cascades previous two results. Extensive experiments suggest that our model is capable of practical use and achieving more favorable scene parsing performance of mIoU score as 69.4% on CamVid dataset.

关键词： scene parsing object detection filtering algorithm

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Analysis of Time Domain Characteristic of Transformer On-load Tap-changer 6

Analysis of Time Domain Characteristic of Transformer On-loa...

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6th International Conference on Integrated Circuits and Microsystems (ICICM)

作者： Yu Bing Zhao Lin Lin Haofan Yang Yong State Grid Zhejiang Elect Power Res Inst Hangzhou Peoples R China

ISBN: (纸本)9781665458863

On-load tap-changer is a switching device that provides a constant voltage for a transformer when the load changes. The basic principle is to realize the switching between taps in the transformer winding without interrupting the load current, thereby changing the number of winding turns, that is, the voltage ratio of the transformer, and finally achieving the purpose of voltage regulation. In this paper, the characteristic parameters are collected by time domain analysis method, which provides the basis for discriminating the later fault warning.

关键词： on-load tap-changer change-over switch selector adaptive morphology filtering algorithm wavelet transform

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