Assessing The Real Impact of 802.11 WLANs: A Large-Scale Comparison of Wired and Wireless Traffic

This paper presents a system in which the cluster devices are controlled by single-chip microcomputers, with emphasis on the cluster management techniques of single-chip microcomputers. Each device in a cluster is controlled by a single-chip microcomputer collecting sample data sent to and driving the device by driving data received from the same cluster management computer through COMs. The cluster management system running on the cluster management computer carries out such control as initial SCM identification, run time slice management, communication resource utilization, fault tolerance and error corrections on single-chip microcomputers. Initial SCM identification is achieved by signal responses between the single-chip microcomputers and the cluster management computer. By using the port priority and the parallelization of serial communications, the systems real-time performance is maximized. The real-time performance can be adjusted and improved by increasing or decreasing COMs and the ports linked to each COM, and the real-time performance can also be raised by configuring more cluster management computers. Fault-tolerant control occurs in the initialization phase and the operational phase. In the initialization phase, the cluster management system incorporates unidentified single-chip microcomputers into the system based on the history information recorded on external storage media. In the operational phase, if an operation error of reading and writing on a single-chip microcomputer reaches a predetermined threshold, the single-chip microcomputer is regarded as serious fault or not existing. The cluster management system maintains accuracy maintenance database on external storage medium to solve nonlinear control of specific devices and accuracy maintenance due to wear. The cluster management system uses object-oriented method to design a unified driving framework in order to enable the implementation of the cluster management system simplified, standardized and easy to transplant. The system has been applied in a large-scale simulation system of 230 single-chip microcomputers, which proves that the system is reliable, real-time and easy to maintain.

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Real-Time Safety Evaluation for Slope during Construction Using Numerical Forecast and Sensor Monitoring Platform

Sensors ◽

10.3390/s18092978 ◽

2018 ◽

Vol 18 (9) ◽

pp. 2978 ◽

Cited By ~ 1

Author(s):

Sherong Zhang ◽

Dejun Hou ◽

Chao Wang ◽

Xuexing Cao ◽

Fenghua Zhang ◽

...

Keyword(s):

Numerical Model ◽

Real Time ◽

Evaluation System ◽

Large Scale ◽

Safety Evaluation ◽

The Real ◽

Study Results ◽

Data Feedback ◽

Numerical Forecast ◽

Slope Safety

Geology uncertainties and real-time construction modification induce an increase of construction risk for large-scale slope in hydraulic engineering. However, the real-time evaluation of slope safety during construction is still an unsettled issue for mapping large-scale slope hazards. In this study, the real-time safety evaluation method is proposed coupling a construction progress with numerical analysis of slope safety. New revealed geological information, excavation progress adjustment, and the support structures modification are updating into the slope safety information model-by-model restructuring. A dynamic connection mapping method between the slope restructuring model and the computable numerical model is illustrated. The numerical model can be generated rapidly and automatically in database. A real-time slope safety evaluation system is developed and its establishing method, prominent features, and application results are briefly introduced in this paper. In our system, the interpretation of potential slope risk is conducted coupling dynamic numerical forecast and monitoring data feedback. The real case study results in a comprehensive real-time safety evaluation application for large slope that illustrates the change of environmental factor and construction state over time.

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Reversals in the large-scale αΩ-dynamo with memory

Nonlinear Processes in Geophysics ◽

10.5194/npg-22-361-2015 ◽

2015 ◽

Vol 22 (4) ◽

pp. 361-369 ◽

Cited By ~ 1

Author(s):

L. K. Feschenko ◽

G. M. Vodinchar

Keyword(s):

Magnetic Field ◽

Power Law ◽

Geomagnetic Field ◽

Large Scale ◽

Magnetic Polarity ◽

Power Law Model ◽

The Real ◽

Geomagnetic Polarity ◽

With Memory ◽

The Magnetic Field

Abstract. Inversion of the magnetic field in a model of large-scale αΩ-dynamo with α-effect with stochastic memory is under investigation. The model allows us to reproduce the main features of the geomagnetic field reversals. It was established that the polarity intervals in the model are distributed according to the power law. Model magnetic polarity timescale is fractal. Its dimension is consistent with the dimension of the real geomagnetic polarity timescale.

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Large‐scale three‐dimensional seismic models and their interpretive significance

Geophysics ◽

10.1190/1.1442933 ◽

1990 ◽

Vol 55 (9) ◽

pp. 1166-1182 ◽

Cited By ~ 21

Author(s):

Irshad R. Mufti

Keyword(s):

Finite Difference ◽

Wave Field ◽

Large Scale ◽

Three Dimensional ◽

Synthetic Data ◽

Real Data ◽

The Real ◽

Need To Evaluate ◽

Zero Offset ◽

Seismic Models

Finite‐difference seismic models are commonly set up in 2-D space. Such models must be excited by a line source which leads to different amplitudes than those in the real data commonly generated from a point source. Moreover, there is no provision for any out‐of‐plane events. These problems can be eliminated by using 3-D finite‐difference models. The fundamental strategy in designing efficient 3-D models is to minimize computational work without sacrificing accuracy. This was accomplished by using a (4,2) differencing operator which ensures the accuracy of much larger operators but requires many fewer numerical operations as well as significantly reduced manipulation of data in the computer memory. Such a choice also simplifies the problem of evaluating the wave field near the subsurface boundaries of the model where large operators cannot be used. We also exploited the fact that, unlike the real data, the synthetic data are free from ambient noise; consequently, one can retain sufficient resolution in the results by optimizing the frequency content of the source signal. Further computational efficiency was achieved by using the concept of the exploding reflector which yields zero‐offset seismic sections without the need to evaluate the wave field for individual shot locations. These considerations opened up the possibility of carrying out a complete synthetic 3-D survey on a supercomputer to investigate the seismic response of a large‐scale structure located in Oklahoma. The analysis of results done on a geophysical workstation provides new insight regarding the role of interference and diffraction in the interpretation of seismic data.

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City brain: practice of large‐scale artificial intelligence in the real world

IET Smart Cities ◽

10.1049/iet-smc.2019.0034 ◽

2019 ◽

Vol 1 (1) ◽

pp. 28-37 ◽

Cited By ~ 6

Author(s):

Jianfeng Zhang ◽

Xian‐Sheng Hua ◽

Jianqiang Huang ◽

Xu Shen ◽

Jingyuan Chen ◽

...

Keyword(s):

Artificial Intelligence ◽

Real World ◽

Large Scale ◽

The Real

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Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph

Complexity ◽

10.1155/2020/2085638 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15 ◽

Cited By ~ 12

Author(s):

Hanwen Liu ◽

Huaizhen Kou ◽

Chao Yan ◽

Lianyong Qi

Keyword(s):

Recommender Systems ◽

Recommender System ◽

Large Scale ◽

Real Life ◽

Research Field ◽

Experimental Results ◽

The Real ◽

Matching Technique ◽

Paper Citation ◽

Citation Graph

Nowadays, scholar recommender systems often recommend academic papers based on users’ personalized retrieval demands. Typically, a recommender system analyzes the keywords typed by a user and then returns his or her preferred papers, in an efficient and economic manner. In practice, one paper often contains partial keywords that a user is interested in. Therefore, the recommender system needs to return the user a set of papers that collectively covers all the queried keywords. However, existing recommender systems only use the exact keyword matching technique for recommendation decisions, while neglecting the correlation relationships among different papers. As a consequence, it may output a set of papers from multiple disciplines that are different from the user’s real research field. In view of this shortcoming, we propose a keyword-driven and popularity-aware paper recommendation approach based on an undirected paper citation graph, named PRkeyword+pop. At last, we conduct large-scale experiments on the real-life Hep-Th dataset to further demonstrate the usefulness and feasibility of PRkeyword+pop. Experimental results prove the advantages of PRkeyword+pop in searching for a set of satisfactory papers compared with other competitive approaches.

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The ontogeny of a mammalian cognitive map in the real world

Science ◽

10.1126/science.aay3354 ◽

2020 ◽

Vol 369 (6500) ◽

pp. 194-197 ◽

Cited By ~ 5

Author(s):

Lee Harten ◽

Amitay Katz ◽

Aya Goldshtein ◽

Michal Handel ◽

Yossi Yovel

Keyword(s):

Real World ◽

Large Scale ◽

Cognitive Maps ◽

Cognitive Map ◽

Interindividual Differences ◽

The Real ◽

Fruit Bat ◽

Wild Fruit ◽

In The Wild

How animals navigate over large-scale environments remains a riddle. Specifically, it is debated whether animals have cognitive maps. The hallmark of map-based navigation is the ability to perform shortcuts, i.e., to move in direct but novel routes. When tracking an animal in the wild, it is extremely difficult to determine whether a movement is truly novel because the animal’s past movement is unknown. We overcame this difficulty by continuously tracking wild fruit bat pups from their very first flight outdoors and over the first months of their lives. Bats performed truly original shortcuts, supporting the hypothesis that they can perform large-scale map-based navigation. We documented how young pups developed their visual-based map, exemplifying the importance of exploration and demonstrating interindividual differences.

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Large-Scale Phonon Calculations Using the Real-Space Multigrid Method

Journal of Chemical Theory and Computation ◽

10.1021/acs.jctc.9b00802 ◽

2019 ◽

Vol 15 (12) ◽

pp. 6859-6864

Author(s):

Jiayong Zhang ◽

Yongqiang Cheng ◽

Wenchang Lu ◽

Emil Briggs ◽

Anibal J. Ramirez-Cuesta ◽

...

Keyword(s):

Large Scale ◽

Multigrid Method ◽

Real Space ◽

The Real

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