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Title: TRAFFIC STUDY AND FORECASTING full report
Page Link: TRAFFIC STUDY AND FORECASTING full report -
Posted By: [email protected]
Created at: Thursday 17th of August 2017 05:09:27 AM
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SEMINAR ON TRAFFIC STUDY AND FORECASTING

PRESENTED BY
NAGABHARANA.K.P
MALNAD COLLEGE OF ENGINEERING
Contents
Introduction to Traffic engineering
1. TRAFFIC STUDY :
Objects
Various Traffic Studies
Presentation of traffic data
2. TRAFFIC FORECASTING:
Introduction
Data for estimation and period for forecasting
Fore-casting methods
3. Conclusion
INTRODUCTION TO TRAFFIC ENGINEERING
Definition
Traffic engineering is that branch of engineering which deals with the improvement of traffic perform ....etc

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Title: mba 1 year presentation topic on forecasting and types
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Posted By: Asmi.A
Created at: Thursday 05th of October 2017 04:19:43 AM
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Economic forecasting, predicting any of the elements of economic activity. Such forecasts can be made in great detail or can be very general. In any case, they describe the expected future behavior of all or part of the economy and help form the basis of planning.

Formal economic forecasting is usually based on a specific theory about how the economy works. Some theories are complicated, and their application requires elaborate cause and effect tracking. Others are relatively simple, attributing the majority of developments in the economy to ....etc

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Title: Wavelet Transform and Some Applications in Time Series Analysis and Forecasting pp
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Posted By: Rajasekhar Babu M
Created at: Thursday 17th of August 2017 08:23:30 AM
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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 mechanics at cole Polytechnique.
1798: Joined Napoleon's army in its invasion of Egypt.
1804-1807: Political Appointment. Work on Heat. ....etc

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Title: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND
Page Link: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND -
Posted By: jishnupr
Created at: Thursday 17th of August 2017 04:48:31 AM
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Authors:
Emmanuel Asuming Frimpong
Philip Yaw Okyere

Abstract:
Load forecasting helps electricity utilities make important decisions such as purchasing and generating electric power, load switching and infrastructure development. Energy suppliers, financial institutions and other participants in electric energy generation, transmission, distribution and markets benefit from load forecasts. This paper proposes the combination of wavelet analysis and radial basis function (RBF) neural network as tools for STLF. The forecasting model ....etc

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Title: The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method
Page Link: The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method -
Posted By: shreyas1887
Created at: Friday 06th of October 2017 02:46:52 PM
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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 do ....etc

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Title: Satellite Image Time Series Analysis Under Time Warping
Page Link: Satellite Image Time Series Analysis Under Time Warping -
Posted By: dhar
Created at: Thursday 17th of August 2017 08:38:06 AM
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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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Title: Effective and Efficient Shape-Based Pattern Detection over Streaming Time Series
Page Link: Effective and Efficient Shape-Based Pattern Detection over Streaming Time Series -
Posted By: nick09
Created at: Thursday 17th of August 2017 04:55:53 AM
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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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Title: Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analy
Page Link: Application of Stream Data Time-Series Pattern Reliance Mining in Stock Market Analy -
Posted By: ajitsuna
Created at: Thursday 17th of August 2017 05:29:38 AM
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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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Title: Demand ForecastingTime Series Models presentation
Page Link: Demand ForecastingTime Series Models presentation -
Posted By: roshan
Created at: Thursday 17th of August 2017 05:00:39 AM
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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 levels, purc ....etc

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Title: REAL TIME FLOOD FORECASTING full report
Page Link: REAL TIME FLOOD FORECASTING full report -
Posted By: satyajit
Created at: Thursday 17th of August 2017 04:47:05 AM
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REAL TIME FLOOD FORECASTING


INTRODUCTION

What Is Real Time Flood Forecasting ??
Real Time Flood Forecasting systems are formulated for issuing the flood warnings in real time in order to prepare the evacuation plan during flood.


FLOOD PROBLEMS IN INDIA

a) Inundation.
b) Drainage Congestion due to Urbanization.
c) Bank Erosion.


FOUR ZONES OF FLOODING IN INDIA

a) Brahmaputra River Basin.
b) Ganga River Basin.
c) North West Rivers Basin.
d) Central India and Deccan Rivers Basin. ....etc

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