پیش بینی

Open Access Article

1 - A NEW ALGORITHM FOR FAST INTRA-FRAME MODES SELECTION IN H.264/AVC VIDEO CODING
Mahnaz Nejadali

By the increasing of video communication in portable and functional devices, encoders design with low complexity and high performance are required. H.264 / AVC standard offers higher compression efficiency than previous standards. But this standard by employing several More

By the increasing of video communication in portable and functional devices, encoders design with low complexity and high performance are required. H.264 / AVC standard offers higher compression efficiency than previous standards. But this standard by employing several powerful coding techniques, considerably increased complexity at the encoder. This paper presents a new algorithm to reduce the complexity of the H.264/AVC encoder. The proposed method uses simple directional masks, neighboring blocks modes and detection of 4x4 and/or 16x16 intra estimation modes with determination of quantization parameters for fast mode selection in Intra-Frame Modes prediction. Experimental results show that the proposed method reduces maximum 29% of the encoding time, while has little effect on visual quality and PSNR. Manuscript profile

Open Access Article

2 - Product purchasing prediction in an online store by designing an artificial neural network using clickstream data
Mahbube Mottaghi

One of the key capabilities of competitive online stores is the effective prediction of customer buying as much as possible to apply customer service strategies to convert users to buyers and to increase sales rates. Data mining and artificial intelligence techniques ar More

One of the key capabilities of competitive online stores is the effective prediction of customer buying as much as possible to apply customer service strategies to convert users to buyers and to increase sales rates. Data mining and artificial intelligence techniques are successful in categorizing and forecasting. Work has been proven in timely systems, such as e-commerce sites. In this paper, we propose a non-post-error neural network model with the aim of predicting purchases at user active stages in an online store. The training and evaluation of the neural network was performed using a set of revised sessions from server logs. The accuracy and retrieval power of the proposed neural network is 8999.79% and 89.696%, which indicates the high ability of this network (about 90%) in predicting the purchase Manuscript profile

Open Access Article

3 - Exploring and anticipation of famine during pasture covering growth periodCase study: Ghouri chay aquiferous zone (Pars abad Moghan city)
saeide eini meysam toulabi nejad

In order to famine exploring; temperature mean and daily data values , total of Pars abad station precipitation during 196-2016 statistical period for implementation of SPI Index were used in 1,3 and 6 months intervals and also TM Landset satellite images was applied fo More

In order to famine exploring; temperature mean and daily data values , total of Pars abad station precipitation during 196-2016 statistical period for implementation of SPI Index were used in 1,3 and 6 months intervals and also TM Landset satellite images was applied for NDVI famine investigation. In anticipation part, CanESM2 was applied under RCP4.5 diffusion scenario in 5th series and also anticipating variables such as NCEP-NCAR 1961-2005 were applied. According to famine indices implementation (SPI and NDVI), temperature values anticipation and Pars abad station precipitation (CanESM2 model under RCP4.5 scenario), it was recognized that pasture growth situation in current conditions during flowering and seeding stages in some of main species of Ghouri chay aquiferous zone were improper. Mentioned main case was obtained through Pars abad Moghan station Ambrotermic curve and 1 month SPI famine index during 1375-1395 statistical periods, but, at the basis of anticipation temperature and precipitation values by using CanESM2 Model with 5th series model reports ; mentioned conditions will be drier during 1385-1477 and also pasture covering growth period will be reduced 6 months to 3 months. This case needs to management plans and aqueferous implementation in studied region as a natural reservoirs according to pasture high importance. Manuscript profile

Open Access Article

4 - Introduction of Foresight: A look into initial experience of Japan, Germany and Iran
Omid Majd Rahim Abadi Afsoon Fahtollahi

According to this fact that undoubtedly in this competitive and complex world foresight is unavoidable; this article is trying to not only showing the necessity and emergence of the foresight but also describe some conception and to highlight the difference of foresight More

According to this fact that undoubtedly in this competitive and complex world foresight is unavoidable; this article is trying to not only showing the necessity and emergence of the foresight but also describe some conception and to highlight the difference of foresight and other similar concept like forecast. In this article the foresight will be also categorized concerning different perspective, as well as describing some common methods to performing foresight. Finally we will take a look into the first experience of the initial foresight projects in Japan and Germany and in contrary; we will discuss the initial experience of foresight projects in Iran. Manuscript profile

Open Access Article

5 - Soft Technology and Forth Generation of Technology Foresight
Mohammadreza Mirza amini Zhiuoeing Jin

This article elaborates earlier arguments about the practical and intellectual value of soft technology by showing how the enlightened application of that concept in the field of technology foresight (or technological forecasting) would improve the effectiveness of the More

This article elaborates earlier arguments about the practical and intellectual value of soft technology by showing how the enlightened application of that concept in the field of technology foresight (or technological forecasting) would improve the effectiveness of the field. It also shows how the evolution of technology foresight as a profession and academic field has, in its own way, facilitated the development of soft technology. It also argues that technology foresight techniques are themselves an example of soft technology. Manuscript profile

Open Access Article

6 - Strategic Policy Intelligence
Mohammadreza Mirza amini

In the present information age, methodologies that help structure, combine and interpret information are getting more and more importance as decision support tools. Techniques like Technology Forecasting, Technology Assessment and Technology Foresight are used in order More

In the present information age, methodologies that help structure, combine and interpret information are getting more and more importance as decision support tools. Techniques like Technology Forecasting, Technology Assessment and Technology Foresight are used in order to generate knowledge about current technological developments and derive possible future trajectories. The present report regards these three techniques within the perspective of Strategic Intelligence, which focuses on their role as instruments supporting decision-making processes. The general introduction on the field of Strategic Intelligence in chapter one reveals the general role of Strategic Intelligence in technology-related decision-making processes. Then summarize the main contents of the three individual reports on Technology Forecast,Technology Assessment and Technology Foresight. By focusing on the decision-maker, each report provides an overview of the characteristics and current state of the art, shows their main strengths, and identifies overlaps and synergies. Finally, presents a concluding critique of Strategic Intelligence and reveals how these three techniques could be used for obtaining a complete picture of possible technological developments. Manuscript profile

Open Access Article

7 - An Analysis on Stationarity of Consumer Price Index (CPI) Time Series in Iran and Using ARIMA Model to Forecast For a Future Time Period
کاظمی kazemi pourya souri mehdi ghazanfari mir saman pishvaee

This study aims to determine stationarity or non-stationarity of time series data of consumer price index (CPI) in 1980-2012 (i.e. 1359-1391 based on Iranian calendar) time period where 2004 (i.e. 1383 Iranian calendar) is the base year. applying the appropriate methods More

This study aims to determine stationarity or non-stationarity of time series data of consumer price index (CPI) in 1980-2012 (i.e. 1359-1391 based on Iranian calendar) time period where 2004 (i.e. 1383 Iranian calendar) is the base year. applying the appropriate methods to detect the trend of time series and determine the autoregressive, moving average and autoregressive moving average of CPI time series autoregressive, moving average and autoregressive moving average of CPI time series, we perform unit root test that results in non-stationarity of CPI time series. using the Augmented Dicky-Fuller test, it is concluded that the time series has only one unit root. therefore, an ARIMA model is developed for the time series data. using Portman-Teau test, the adequacy of the model and its pure randomness is proved. Finally, we use the proposed ARIMA model to forecast future data from 2013 to 2022 (i.e. 1392 to 1401 Iranian calendar) in 80 and 95 percent levels of confidence. Manuscript profile

Open Access Article

8 - A Hybrid Long-Term Probabilistic Net Load Forecasting Approach Considering Renewable Energies Power in Smart Grids
Mohsen Jahantigh majid moazzami

With the growth and integration of distributed generation resources in smart grids, net load forecasting is of significant importance. A hybrid optimization method is proposed in this paper for probabilistic net load forecasting using neighborhood component analysis and More

With the growth and integration of distributed generation resources in smart grids, net load forecasting is of significant importance. A hybrid optimization method is proposed in this paper for probabilistic net load forecasting using neighborhood component analysis and solving regression problem with the aid of mini-batch LBFGS method. Net load forecasting is suggested in this paper trough forecast combination via adaptive network-based fuzzy inference system. The structure includes a combination of several long-term forecasts, including forecasts of load, the generation of a solar station, and the generation of a wind farm with wind turbines equipped with doubly-fed induction generator. Also, the net load forecasting and the relationship between errors of load, wind and solar predictions are studied in this paper. The simulation results of the proposed method and its comparison with Tao and quantile regression models show that mean absolute percentage error of load forecasting, and the forecasts of solar and wind generations improved by 0.947%, 0.3079% and 0042%, respectively which result to a decrease in net load forecasting error. Manuscript profile

List of Articles پیش بینی

Rimag

Links

Related Centers

Technical Support

Official pages