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检索条件"主题词=Real-Time Data Processing"

共 149 条记录，以下是81-90 订阅

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STORAGE AND AGGREGATION FOR FAST ANALYTICS SYSTEMS

STORAGE AND AGGREGATION FOR FAST ANALYTICS SYSTEMS

引用

作者： Hrishikesh Amur Georgia Institute of Technology

学位级别：博士

Computing in the last decade has been characterized by the rise of data- intensive scalable computing (DISC) systems. In particular, recent years have wit- nessed a rapid growth in the popularity of fast analytics systems. These systems exemplify a trend where queries that previously involved batch-processing (e. g., run- ning a MapReduce job) on a massive amount of data, are increasingly expected to be answered in near real-time with low latency. This dissertation addresses the problem that existing designs for various components used in the software stack for DISC sys- tems do not meet the requirements demanded by fast analytics applications. In this work, we focus specifically on two components: 1. Key-value storage: Recent work has focused primarily on supporting reads with high throughput and low latency. However, fast analytics applications require that new data entering the system (e. g., new web-pages crawled, currently trend- ing topics) be quickly made available to queries and analysis codes. This means that along with supporting reads efficiently, these systems must also support writes with high throughput, which current systems fail to do. In the first part of this work, we solve this problem by proposing a new key-value storage system – called the WriteBuffer (WB) Tree – that provides up to 30× higher write per- formance and similar read performance compared to current high-performance systems. 2. GroupBy-Aggregate: Fast analytics systems require support for fast, incre- mental aggregation of data for with low-latency access to results. Existing techniques are memory-inefficient and do not support incremental aggregation efficiently when aggregate data overflows to disk. In the second part of this dis- sertation, we propose a new data structure called the Compressed Buffer Tree (CBT) to implement memory-efficient in-memory aggregation. We also show how the WB Tree can be modified to support efficient disk-based aggregation.

关键词： Key-value storage GroupBy-Aggregate Resource efficiency Write-optimized data structures real-time data processing High performance computing

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Passive acoustic surveillance of surface vessels using tridimensional array on an underwater glider

Passive acoustic surveillance of surface vessels using tridi...

引用

Oceans 2015 Genova

作者： Tesei, A. Been, R. Williams, D. Cardeira, B. Galletti, D. Cecchi, D. Garau, B. Maguer, A. NATO STO CMRE La Spezia Italy

ISBN: (纸本)9781479987375

The NATO-STO Centre for Maritime Research and Experimentation (CMRE) has proposed to approach the problem of monitoring marine traffic in defined sea areas by using passive acoustics on a mobile underwater platform, in particular by hosting a small volumetric acoustic array on an underwater glider. Passive underwater acoustic technologies applied to mobile autonomous underwater platforms such as gliders may allow: minimum environmental impact, covertness, long endurance, wide area coverage, near real-time, continuous ('24/7') monitoring and availability of several functionalities, ranging from detection to classification of acoustic noise sources. Gliders are particularly appropriate for this kind of application, as their utmost features are: (a) persistence;(b) discreteness;(c) portability;(d) scalability;(d) remote control. In the context of the EU FP7 PERSEUS project, CMRE's objectives were to detect and estimate the direction of arrival of boats through passive acoustics, by processing acoustic data in real time, directly on board the glider, through the application of appropriate algorithms, and then sending results to the PERSEUS Command&Control station for data fusion and visualization.

关键词： passive acoustics underwater glider volumetric acoustic arrays real-time data processing

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SignalR real-time Application Cookbook 1

引用

丛书名： Open source community experience distilled. Quick answers to common problems

2014年

作者： Vespa, Roberto

ISBN: (数字)9781783285969

ISBN: (纸本)9781783285952;9781783285969

''This book contains illustrated code examples to help you create real-time, asynchronous, and bi-directional client-server applications. Each recipe will concentrate on one specific aspect of application development with SignalR showing you how that aspect can be used proficiently. Different levels of developers will find this book useful. Beginners will be able to learn all the fundamental concepts of SignalR, quickly becoming productive in a difficult arena. Experienced programmers will find in this book a handy and useful collection of ready-made solutions to common use cases, which they will be able to enhance as needed. Developers can also use the book as a quick reference to the most important SignalR features. No previous practical experience either with SignalR or with real-time communication in general is required.''

关键词： real-time data processing

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GaugeTracker: AI-Powered Cost-Effective Analog Gauge Monitoring System 7

GaugeTracker: AI-Powered Cost-Effective Analog Gauge Monitor...

引用

7th IEEE International Conference on Multimedia Information processing and Retrieval (MIPR)

作者： Tian, Beitong Wu, Mingyuan Zhang, Ruixiao Zheng, Haozhen Chen, Bo Wang, Yaohui Trivedi, Shiv Zhang, Shanbo Kaufman, Robert Bruce Espenhahn, Leah Pezzarossi, Gianni Sardela, Mauro Dallesasse, John Nahrstedt, Klara Univ Illinois Coordinated Sci Lab Champaign IL 61801 USA Univ Illinois Holonyak Micro & Nanotechnol Lab Champaign IL 61801 USA Univ Illinois Mat Res Lab Champaign IL 61801 USA

ISBN: (纸本)9798350351439;9798350351422

Automating analog gauge readings is essential for providing stakeholders with timely alerts about abnormalities in physical properties measured by gauges, such as pressure, and for offering detailed historical data to improve understanding of the work environment. However, existing systems face challenges in balancing accuracy, continuity, reading latency, network bandwidth usage, and cost. In this study, we introduce GaugeTracker, an end-to-end system to address these challenges. Our proposed method, based on template matching for gauge reading, precisely determines the current angle of the gauge pointer, significantly outperforming state-of-the-art baselines with an average error of 1.81 degrees. By leveraging the versatility of large vision-language models, we develop a pipeline for automatically generating accurate and realistic gauge templates for each specific gauge at various readings on the server. Deployed on the world's most affordable IoT camera, which is mounted in front of a gauge using our customized camera holder, our prototype system can read the gauge 7 times per second by processing entirely on the device. This delivers continuous and accurate gauge readings across diverse environmental conditions. Furthermore, with a cost of merely $10 per gauge, our system offers a highly cost-effective solution for real-time analog gauge monitoring.

关键词： Computer Vision Internet of Things Analog Gauge Transcription Template Matching Large Vision-language Model Synthetic data real-time data processing

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Situation Awareness within Maritime Applications

Situation Awareness within Maritime Applications

引用

OCEANS Conference

作者： Hamren, Rasmus Baumgart, Stephan Curuklu, Baran Ekstrom, Mikael Malardalen Univ Sch Innovat Design & Engn Vasteras Sweden Nord Engn Partner Norrtalje Sweden Epiroc Orebro Sweden

ISBN: (纸本)9798350362077

The advent of powerful control units and the widespread availability of cheap computers have significantly increased the role of artificial intelligence (AI) in various sectors. In the field of maritime applications, this progress has led to the emergence of Edge AI as an important technology. This research focuses on the application of Edge AI to maritime vessels, addressing key aspects of maritime operations. Using Edge AI, we aim to improve the situation awareness and operational efficiency of marine vessels. This study explores Edge AI integration into marine environments and emphasizes its potential to improve on-board safety, navigation and decision-making processes. Our approach shows how smart units decentralized in large central systems can lead to more efficient and adaptive maritime operations and paving the way for a new era of technologically advanced and environmentally conscious maritime practices.

关键词： Edge AI Environmental Sustainability Sensor Fusion Wave Recognition Autonomous Vessel Operation Fuel Conservation Maritime Safety real-time data processing

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A New Ubiquitous Service Platform for IOT (USPIOT) Implementation Based on SOA

A New Ubiquitous Service Platform for IOT (USPIOT) Implement...

引用

1st International Conference on Energy and Environmental Protection (ICEEP 2012)

作者： Bao, Jianmin Wang, Jinping Sun, Yankui Nanjing Univ Posts & Telecommun Coll Internet Things Nanjing Jiangsu Peoples R China

ISBN: (纸本)9783037854174

This paper proposed a new ubiquitous service platform for JOT (USPIOT) implementation based on Service-Oriented Architecture (SOA), the platform combines materialized integration with virtual view and realizes real-time collection, real-time main memory database processing to solve the problem such as real-time heterogeneous data integration of different equipments. By providing a service development environment which enables to realize common services description, the USPIOT makes the various service applications and service operations of the IOT extracted, transformed, integrated, and then establishes a stable ubiquitous service implementation environment. The results show that this platform can realize lots of IOT service applications such as the environmental monitor and has a good scalability.

关键词： Internet of Things Service-Oriented Architecture data Integration real-time data processing

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Splunk Operational Intelligence Cookbook 1

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2014年

作者： Josh Diakun Paul R Johnson Derek Mock

This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from a... 详细信息

ISBN: (数字)9781849697859

ISBN: (纸本)9781849697842

关键词： real-time data processing Big data Information storage and retrieval systems

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Local Frechet Distance in Specific Emitter Identification 9

Local Frechet Distance in Specific Emitter Identification

引用

2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Peibo Chen Ke Xu Gang Li Jianwei Wan Yong Chen College of Electronic Science and Engineering National University of Defense Technology College of Physics and Communication Electronics Jiangxi Normal University

ISBN: (纸本)9781509038237;9781509038220

Specific Emitter Identification(SEI) is one of most difficult tasks in modern electronic warfare. The principle function of the SEI is utilizing fingerprint features to identify different emitters of the same type by a precise measurement, which plays an important role in the recognition process. Under the premise that the time-domain waveforms such as the instantaneous amplitude and frequency are specified as the fingerprint features, the frechet distance can achieve preferable identification accuracy, compared to the Hausdorff and Dynamic time Warping(DTW) distance. Unfortunately, due to the disadvantage of its high time complexity, the frechet distance is unable to satisfy the requirement of real-time data processing in practical application, especially in the military field. Combining waveform structures of these fingerprint features, a local frechet distance is proposed in the paper. The new algorithm can provide a lower time complexity and hardly impact the identification accuracy.

关键词： specific emitter identification real-time data processing local frechet distance

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Using Process Mining in real-time to Reduce the Number of Faulty Products 23rd

Using Process Mining in Real-Time to Reduce the Number of Fa...

引用

23rd European Conference on Advances in databases and Information Systems (ADBIS)

作者： Nagy, Zsuzsanna Werner-Stark, Agnes Dulai, Tibor Univ Pannonia Dept Elect Engn & Informat Syst Egyet Str 10 H-8200 Veszprem Hungary

ISBN: (纸本)9783030287306;9783030287290

Process mining is a field of research whose tools can be used to extract useful hidden information about a process, from its execution log files. The current problem is that there is no solution available to track the formation of faulty products in real-time, both in time and space, to make it possible to reduce their number. The aim of this study is to find an effective solution for real-time analysis of manufacturing processes. The solution is considered to be effective if it helps to detect the error source points as soon as possible, and thus helping to eliminate them, it contributes in reducing the number of faulty products. Our previous solution, the "time and Space Distribution Analysis" (TSDA), can analyze production data in time and space, but not in real-time. As a further development, we created the "real-time and Space Distribution Analysis" (RTSDA), which is capable of observing manufacturing process log data in real-time. It was implemented in software and tested with real process data. real-time process mining can increase the productivity by quickening the detection process of the potential error source points, thus reducing the number of faulty products.

关键词： Process mining real-time data processing Production log data analysis Fault source detection

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Instrumented sorting block box for children, a preliminary experiment

Instrumented sorting block box for children, a preliminary e...

引用

IEEE International Conference on Rehabilitation Robotics (ICORR)/International Neurorehabilitation Symposium (INRS)/International Conference on Virtual Rehabilitation (ICVR)

作者： Klein, J. Chen, A. Burdet, E. Univ London Imperial Coll Sci Technol & Med London SW7 2AZ England

ISBN: (纸本)9781424498628

This paper presents a prototype for an instrumented sorting block box designed for large-scale use in medical centers. A preliminary experiment was performed with unimpaired adults. Low-cost force sensors located under the top lid and real-time data processing allowed us to accurately estimate the position of the block. The data extracted from these sensors was used to develop and calculate suitable outcome measures such as the average distance to the target, overall time to complete the task, percentage of time spent far from the target, average force applied to the lid and number of mistrials. Results suggest a strong influence of the block shape, target location and movement number on the outcome measures. The tool and measures will be used for early assessment of abnormal development of motor skills in infants and for evaluation of pathological conditions such as cerebral palsy.

关键词： Analysis of variance Force Force sensors Instruments Shape Sorting abnormal development adults biomechanics biomedical measurement biosensors cerebral palsy data extraction diseases force sensors geriatrics infants instrumented sorting block box low-cost force sensors medical centers medical disorders paediatrics pathological conditions real-time data processing

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