Abstract

The project aims at providing corporate information and hospital statistics can be viewed in a web on the Internet. This Information is to integrate into the existing web page of the company but the access to it would be restricted to the Chairman and Directors or any body who has been authorized or register users.
According patients needs the hospital management introduced Health Card Schemes like one year health card, two year health card and life long health Cards. First Patient choose the Kims Health Card according to t ....etc

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Experimental conguration for investigating the dynamics and the statistics
of the phase locking level of coupled lasers that have no common frequency
is presented. The results reveal that the probability distribution of the phase
locking level of such coupled lasers ts a Gumbel distribution that describes
the extreme value statistic of Gaussian processes. A simple model, based
on the spectral response of the coupled lasers, is also described, and the
calculated results are in good agreement with the experimental results.
Phase locking ....etc

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A little bit of history….

Jean Baptiste Joseph Fourier (1768 – 1830)

MGP: Leibniz - Bernoulli - Bernoulli - Euler - Lagrange - Fourier – Dirichlet - ….

1787: Train for priest (Left but Never married!!!).
1793: Involved in the local Revolutionary Committee.
1974: Jailed for the first time.
1797: Succeeded Lagrange as chair of analysis and ....etc

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The Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analysis

With the rapid development of computer information technology, a new data model-the stream data emerged. The stream data is coming continuously, quickly, changing with time, and may be unpredictable and unlimited in the way. The emergence of stream data has brought new challenges from the nature ofthe data applied to static database technology and data mining technology. At present, the stream data has been widely used in telecommunications, financial ....etc

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Prepared by:
zhentong lin
reySHA Tiyardi


Introduction

With the development of network, more and more organizations and corporations need to do businesses by network. How to provide a High-quality network service is a key issue for the network operation supervisor. Monitoring network statistics is an important way to help the supervisor to prevent network failure. Today, our group will explain some type of network statistics.
....etc

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Satellite Image Time Series Analysis Under Time Warping



Abstract

Satellite Image Time Series are becoming increasingly
available and will continue to do so in the coming years
thanks to the launch of space missions which aim at providing a
coverage of the Earth every few days with high spatial resolution.
In the case of optical imagery, it will be possible to produce land
use and cover change maps with detailed nomenclatures. However,
due to meteorological phenomena, such as clouds, these time serie ....etc

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Abstract—Existing distance measures of time series such as the euclidean distance, DTW, and EDR are inadequate in handling certain degrees of amplitude shifting and scaling variances of data items. We propose a novel distance measure of time series, Spatial Assembling Distance (SpADe), that is able to handle noisy, shifting, and scaling in both temporal and amplitude dimensions. We further apply the SpADe to the application of streaming pattern detection, which is very useful in trend-related analysis, sensor networks, and video surveillance. ....etc

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Abstract

Prediction of an event at a time series is quite important for engineering and economy problems. Time series data mining combines the fields of time series analysis and data mining techniques. This method creates a set of methods that reveal hidden temporal patterns that are characteristic and predictive of time series events. Time series data mining examines the time series in a phase space. In this paper, a prediction algorithm using time series data mining based on fuzzy logic is proposed. Earthquake prediction has been ....etc

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Demand Forecasting: Time Series Models



PResented By:
Professor Stephen R. Lawrence
College of Business and Administration
University of Colorado



Forecasting Horizons
Long Term
5+ years into the future
R&D, plant location, product planning
Principally judgement-based



Medium Term
1 season to 2 years
Aggregate planning, capacity planning, sales forecasts
Mixture of quantitative methods and judgement


Short Term
1 day to 1 year, less than 1 season
Demand forecasting, staffing level ....etc

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The flow of granular materials is an important phenomena in a number of industrial processes, such as the transport of food-grains, ores, catalysts, powders, etc; as well as in many natural processes such as mud slides and avalanches. However, there is no single constitutive equation which can reproduce the diverse behavior observed in granular materials. The flow of granular materials is generally classified into three distinct flow regimes, where both continuum models and kinetic theory based models are used to predict the flow behavior. Expe ....etc

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