检索结果-内蒙古大学图书馆

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2013年 701卷 7-16页

作者： Hromalik, Marianne S. Green, Katherine S. Philipp, Hugh T. Tate, Mark W. Gruner, Sol M. SUNY Coll Oswego Dept Comp Sci Oswego NY 13126 USA Cornell Univ Lab Atom & Solid State Phys Ithaca NY 14853 USA Cornell Univ Cornell High Energy Synchrotron Source Ithaca NY 14853 USA

A proposed design for a reconfigurable x-ray Pixel Array Detector (PAD) is described. It operates by integrating a high-end commercial field programmable gate array (FPGA) into a 3-layer device along with a high-resistivity diode detection layer and a custom, application-specific integrated circuit (ASIC) layer. The ASIC layer contains an energy-discriminating photon-counting front end with photon hits streamed directly to the FPGA via a massively parallel, high-speed data connection. FPGA resources can be allocated to perform user defined tasks on the pixel data streams, including the implementation of a direct time autocorrelation function (ACF) with time resolution down to 100 ns. Using the FPGA at the front end to calculate the ACF reduces the required data transfer rate by several orders of magnitude when compared to a fast framing detector. The FPGA-ASIC high-speed interface, as well as the in-FPGA implementation of a real-time ACF for x-ray photon correlation spectroscopy experiments has been designed and simulated. A 16 x 16 pixel prototype of the ASIC has been fabricated and is being tested. (C) 2012 Published by Elsevier B.V.

关键词： X-ray Pixel Array Detectors Field Programmable Gate Array real-time data processing Autocorrelation function

来源：评论

学校读者我要写书评

暂无评论

Computation of availability of a real-time system using queueing theory methodology

引用

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY 1998年第10期49卷 1095-1100页

作者： Kreimer, J Mehrez, A Ben Gurion Univ Negev Dept Ind Engn & Management IL-84105 Beer Sheva Israel

In this paper we consider a real-time multiserver (such as machine controllers) and multichannel (such as regions and assembly lines) systems involving maintenance. Our objective is to fit these systems into the framework of queueing models and thus to justify the use of the powerful queueing theory analytical methods in the analysis of real-time systems. The main difficulty is that real-time systems by their very nature do not permit queues. To resolve this contradiction we use a dual approach in which we consider jobs as servers and servers as jobs. We adjust the traditional definition of availability for the real-time systems under consideration and show how to compute the system's availability, when both service and maintenance times are exponentially distributed (birth-and-death process). At this stage we restrict ourselves to a worst case (maximum load regime), which is most typical in high-performance data acquisition and control (production and military) systems.

关键词： availability maintenance production control real-time data processing unmanned systems

来源：评论

学校读者我要写书评

暂无评论

British Columbia Smart Infrastructure Monitoring System

引用

CANADIAN JOURNAL OF CIVIL ENGINEERING 2017年第8期44卷 579-588页

作者： Kaya, Yavuz Ventura, Carlos Huffman, Sharlie Turek, Martin Univ British Columbia Fac Sci Appl Dept Civil Engn 6250 Appl Sci Lane Vancouver BC V6T 1Z4 Canada Huffman Engn Ltd 2180 Pentland Rd Victoria BC V8S 2W6 Canada

This paper describes the architecture of a comprehensive seismic monitoring system developed in 2009 by the British Columbia Ministry of Transportation and Infrastructure (MoT) and the University of British Columbia, Canada. The main purpose of the British Columbia Smart Infrastructure Monitoring System project is to instrument and monitor key structures to provide confirmation of their seismic capacity, assist in focusing retrofit efforts, detect structural damage, and provide rapid damage assessment of those structures, following a seismic event. The automatic creation of shakemaps following an earthquake provides information for the MoT's non-instrumented bridges. The public notification systems and web pages have been developed to display real-time seismic data both from the strong motion network and seismic structural health monitoring network. Tools and methods have been developed to help transform the current practice of inspecting and evaluating structures to a more rational and effective one that uses the up-to-date sensing technology with fast and efficient techniques.

关键词： seismic structural health monitoring strong motion network shakemap earthquake notification real-time data processing

来源：评论

学校读者我要写书评

暂无评论

GC-YOLOv9: Innovative smart city traffic monitoring solution

引用

ALEXANDRIA ENGINEERING JOURNAL 2024年 106卷 277-287页

作者： An, Ru Zhang, Xiaochun Sun, Maopeng Wang, Gang Shenzhen Univ Coll Civil & Transportat Engn Shenzhen 518060 Peoples R China Shenzhen Urban Transport Planning Ctr Co Ltd Shenzhen 518057 Peoples R China Shenzhen Univ Res Inst Smart Cities Sch Architecture & Urban Planning Shenzhen 518060 Peoples R China NingboTech Univ Sch Comp & Data Engn Ningbo 315100 Peoples R China Imperial Coll London Dept Bioengn London SW7 2AZ England

In urban smart city environments, traffic hazards can lead to catastrophic outcomes, including significant property losses and severe threats to public safety. Conventional traffic monitoring systems are limited in terms of accuracy and speed, presenting significant challenges for real-time traffic surveillance. To tackle these challenges, this paper introduces the GC-YOLOv9 algorithm. Specifically, we have enhanced the YOLOv9 model by incorporating Ghost Convolution, markedly improving the model's perceptual abilities and detection accuracy. Furthermore, this study designed an integrated smart city framework that includes layers for service applications, the Internet of Things, edge processing, and data centers. By deploying the enhanced YOLOv9 model within this framework, our method achieved mAP@0.5 scores of 77.15 and 74.95 on the BDD100K and Cityscapes datasets, respectively, surpassing existing technologies. Additionally, the potential applications of this method in public area fire safety management, forest fire monitoring, and intelligent security systems further underscore its significant value in improving the safety and efficiency of smart cities.

关键词： Smart cities Traffic monitoring YOLOv9 Internet of Things real-time data processing Ghost convolution

来源：评论

学校读者我要写书评

暂无评论

A distributed approach for real-time multi-camera multiple object tracking

引用

MACHINE VISION AND APPLICATIONS 2017年第3-4期28卷 421-430页

作者： Previtali, Fabio Bloisi, Domenico D. Iocchi, Luca Sapienza Univ Rome Dept Comp Control & Management Engn A Ruberti Via Ariosto 25 I-00185 Rome Italy

Estimating the positions of a set of moving objects captured from a network of cameras is still an open problem in Computer Vision. In this paper, a distributed and real-time approach for tracking multiple objects on multiple cameras is presented. A quantitative comparison with six state-of-the-art methods has been carried out on the publicly available PETS 2009 data set, demonstrating the effectiveness of the algorithm. Moreover, the proposed method has been tested also on a multi-camera soccer data set, showing its data fusion capabilities.

关键词： Distributed multiple object tracking real-time data processing Distributed data association

来源：评论

学校读者我要写书评

暂无评论

Residual-life distributions from component degradation signals: A Bayesian approach

引用

IIE TRANSACTIONS 2005年第6期37卷 543-557页

作者： Gebraeel, NZ Lawley, MA Li, R Ryan, JK Purdue Univ Sch Ind Engn W Lafayette IN 47907 USA

real-time condition monitoring is becoming an important tool in maintenance decision-making. Condition monitoring is the process of collecting real-time sensor information from a functioning device in order to reason about the health of the device. To make effective use of condition information, it is useful to characterize a device degradation signal, a quantity computed from condition information that captures the current state of the device and provides information on how that condition is likely to evolve in the future. If properly modeled, the degradation signal can be used to compute a residual-life distribution for the device being monitored, which can then be used in decision models. In this work, we develop Bayesian updating methods that use real-time condition monitoring information to update the stochastic parameters of exponential degradation models. We use these degradation models to develop a closed-form residual-life distribution for the monitored device. Finally, we apply these degradation and residual-life models to degradation signals obtained through the accelerated testing of bearings.

关键词： DECISION making real-time control real-time data processing MATHEMATICAL models STOCHASTIC processes BAYESIAN statistical decision theory

来源：评论

学校读者我要写书评

暂无评论

Enhancement of the ASDEX Upgrade real-time Plasma Position Reflectometry Diagnostic

引用

IEEE TRANSACTIONS ON NUCLEAR SCIENCE 2015年第3期62卷 1195-1200页

作者： Santos, J. M. Santos, G. S. Zilker, M. Guimarais, L. Rapson, C. Treutterer, W. Goncalves, B. Univ Lisbon Inst Super Tecn Inst Plasmas & Fusao Nucl P-1049001 Lisbon Portugal Max Planck Inst Plasma Phys D-85748 Garching Germany

Microwave O-mode reflectometry is a diagnostic technique that will play an important supplementary role for plasma position control for ITER and forseeably for DEMO. Density profiles from reflectometry will provide, at high temporal resolutions, estimates of the gap between the plasma magnetic separatrix and the tokamak vessel walls. These estimates will be used to detect and correct drifts in the magnetic gap measurements, the primary measurements used for plasma position and shape control. The feasibility of this alternative feedback control approach was demonstrated in 2011 on ASDEX Upgrade (AUG) [1], where the reflectometry gap estimate actually replaced the corresponding magnetic measurement in the position control loop. Presently, the AUG's real-time (RT) reflectometry diagnostic is being upgraded to improve not only its density range coverage but also its acquisition and RT data processing performance. The diagnostic is now capable of acquiring a total of 16 channels (previously 8) from which 8, corresponding to microwave bands K, Ka, Q and V from both the high (HFS) and low field side (LFS) reflectometers, are used in the RT density profile and separatrix gap calculations. The modern NUMA hardware architecture of the updated data processing server allows for an efficient and separate handling of the data-flows produced by the hosted acquisition systems. The higher RAM and CPU interconnection bandwidths allow the implementation of new operation modes that exploit the very high data throughput (> 1.2 GB/s) of each of the two used acquisition boards. RT reconstruction of the density profiles is a complex algorithm, whose performance will also be improved by the additional processing power (16 cores instead of 8). The system was specified to acquire and store HFS and LFS density profile data every < 250 mu s whilst simultaneously producing profile measurements for RT control every 1 ms. In this new operation mode, identical to the one planned for the ITER plasma

关键词： ASDEX upgrade high throughput data acquisition ITER control diagnostics plasma position control real-time data processing real-time reflectometry

来源：评论

学校读者我要写书评

暂无评论

Intelligent Pavement Damage Monitoring Research in China

引用

IEEE ACCESS 2019年 7卷 45891-45897页

作者： Zhang, Bing Liu, Xianlin Capital Normal Univ Coll Resource Environm & Tourism Beijing 100048 Peoples R China Chinese Acad Surveying & Mapping Beijing 100830 Peoples R China

The development of artificial intelligence technology is of vital significance to the progress of human civilization. Through the development of this aspect in recent years, China has achieved unprecedented gains in equipment and software technology, such as road damage monitoring. However, it is difficult to deal with a large amount of data and real-time data. In addition, China is the third largest country in the world in terms of land area, with well-developed roads and more and more road construction, which increases the workload of road damage monitoring. In order to solve these problems, a research scheme of intelligent pavement damage monitoring is proposed. The main idea of the scheme is to obtain point cloud data by scanning the road surface with unmanned control equipment, carry out Harris, star and sift detection on the pictorial point cloud data, and then judge the damaged area by combining with the characteristic matrix of the damaged data. Through the processing of point cloud data obtained by the existing manned control equipment, it is found that it has a good effect on the monitoring of pavement crack damage. From the actual results obtained, it can be judged that the pavement damage of single crack and multi-crack can be determined. Intelligent development is an application that integrates multiple interdisciplinary subjects. This research can provide some development ideas for intelligent road monitoring, and at the same time, it is hoped to contribute to the development and integration of interdisciplinary subjects.

关键词： Artificial intelligence real-time data processing road damage monitoring unmanned control equipment point cloud data feature matrix intelligent detection

来源：评论

学校读者我要写书评

暂无评论

Wide-angle visible video diagnostics for JT-60SA utilizing EDICAM

引用

FUSION ENGINEERING AND DESIGN 2020年 153卷 111505-111505页

作者： Szepesi, Tamas Davis, Sam Hajnal, Nandor Kamiya, Kensaku Kocsis, Gabor Kovacsik, Akos Oyama, Naoyuki Sozzi, Carlo Zoletnik, Sandor Wigner RCP Budapest Hungary Fus Energy Garching Germany QST Naka Ibaraki Japan BME Inst Nucl Tech Budapest Hungary CNR Ist Fis Plasma Milan Italy

A multi-purpose, wide-angle, visible overview video diagnostic, based on the EDICAM camera, was designed for JT-60SA superconducting tokamak, in order to fulfill both machine protection and scientific observation purposes. The detector is located inside the 'port plug' (a ca. 3 m long re-entrant tube), relatively close to the plasma boundary;the EDICAM can tolerate the magnetic field at this location as well as the radiation levels in the early phases of the experiment. A rail-and-carriage system is used to move the detector between the opening of the port plug and the measurement location. A 4-point docking system ensures the precise and robust positioning of the optics, firmly holding the detector also in the event of disruptions or earthquakes. The camera is running under atmospheric condition, separated by a sapphire window from the plasma vacuum. The vacuum window is protected by a water-cooled pin-hole from mechanical impacts and plasma heat;the pin-hole is also the first element of the detector's optical system. The optics consists of two lens groups and a prism;the housing is made of stainless steel, in order to reduce eddy currents and thus avoid large forces acting on the system in a disruption.

关键词： JT-60SA EDICAM Video diagnostics real-time data processing Machine protection

来源：评论

学校读者我要写书评

暂无评论

Decision-Making Model for Securing IoT Devices in Smart Industries

引用

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2021年第6期17卷 4270-4278页

作者： Rathee, Geetanjali Garg, Sahil Kaddoum, Georges Choi, Bong Jun Jaypee Univ Informat Technol Dept Comp Sci & Engn Waknaghat 173234 India Univ Quebec Elect Engn Dept Ecole Technol Super Montreal PQ H3C 1K3 Canada Soongsil Univ Sch Comp Sci & Engn Seoul 06978 South Korea

The industrial Internet-of-Things (IIoT) is a powerful Internet of Things (IoT) application that enables industrial growth by ensuring transparent communication among the various entities of a company such as the manufacturing locations, design hubs, and packaging units. However, current industrial architectures are unable to efficiently deal with advanced security issues that come with this communication due to the distributed and expandable nature of IIoT networks. Furthermore, from a security perspective, malicious devices with the objective of modifying data from within the premises of the network pose a high risk for the IIoT. Therefore, introducing intelligent decision-making models to the IIoT can enhance our ability to examine any collected data in a more structured, efficient, and secure manner. In this article, we provide a decision-making model for securing IIoT data. The proposed model, based on the Technique for Order Preference by Similarity to the Ideal Solution, can provide secure information transmission and recording/storage using various communicating parameters. The degree of trust of the IoT devices is analyzed using these parameters. Simple additive weighting is integrated into the proposed model to remove inefficient and ill-structured parameters. The proposed model is validated using various spectrum sensing and security parameters against a baseline method for the IIoT. Simulation results show that the proposed model is approximately 85% more efficient in identifying malicious nodes and denial-of-service threats compared to the baseline method.

关键词： Decision making Security Monitoring Surface acoustic waves Industries Configuration security decision-making efficient computing industrial Internet-of-Things (IIoT) intelligent forensics real-time data processing simple additive weighting (SAW) Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：