An efficient compressed domain video indexing method

Video indexing is employed to represent the features of video sequences. Motion vectors derived from compressed video are preferred for video indexing because they can be accessed by partial decoding; thus, they are used extensively in various video analysis and indexing applications. In this study, we introduce an efficient compressed domain video indexing method and implement it on the H.264/AVC coded videos. The video retrieval experimental evaluations indicate that the video retrieval based on the proposed indexing method outperforms motion vector based video retrieval in 74 % of queries with little increase in computation time. Furthermore, we compared our method with a pixel level video indexing method which employs both temporal and spatial features. Experimental evaluation results indicate that our method outperforms the pixel level method both in performance and speed. Hence considering the speed and precision characteristics of indexing methods, the proposed method is an efficient indexing method which can be used in various video indexing and retrieval applications.     

A Novel Self-Powered Supply for GCT Gate Drivers

The commercial power supply for the gate driver of integrated gate-commutated thyristors (GCTs) is an expensive proposition since the supply's output must withstand the high voltage of the GCT switch against all other relevant potentials in the converter. This voltage varies from a few thousand volts to several ten thousands of volts over the GCT application range. In this paper, a novel self-powered supply is proposed for the GCT gate driver, where the supply obtains energy from the snubber circuit of the GCT switch and then provides a regulated dc voltage for the gate driver. Since the snubber circuit is at the same potential as the GCT, the insulation level of the supply is reduced from thousands of volts to a couple of hundred volts, leading to a significant reduction in cost and size. The supply configuration is introduced and its operating principle is discussed. The design guidelines are discussed and experimental results from a 4160 V GCT current source rectifier are also provided.     

Cost minimization for bag-of-tasks workflows in a federation of clouds

We address the problem of resource allocation for bag-of-tasks (BoT) workflows in a federation of clouds and formulate it as an integer linear programming problem. The proposed model minimizes financial cost including fees for running VMs and fees for data transfer, and fulfills deadline and resource constraints in the clouds. We also formulate the problem of BoT scheduling in the hybrid clouds, and compare the financial cost in the federation of clouds with that in the hybrid clouds. Moreover, this paper discusses sensitivity analysis to investigate stability in the related allocation problem. Numerical results show that the resource allocation in the federation is considerably preferred to that in the hybrid clouds in terms of stability and cost-saving. In this paper, we also propose an approach named GRASP-FC for obtaining an approximate optimal solution of BoT scheduling in the federation. GRASP-FC is an extension of greedy randomized adaptive search procedure (GRASP), and it can be of great interest from the computational points of view.

     

Polyacrylamide hydrogel application in sand control with compressive strength testing

Sand production is one of the major problems in sandstone reservoirs. Different mechanical and chemical methods have been proposed to control sand production. In this paper, we propose a chemical method based on using polyacrylamide/chromium triacetate hydrogel to investigate sand production in a synthetic sandpack system. To this end, a series of bulk experiments including the bottle test and rheological analysis along with compression tests were conducted. Experimental results indicated that the compressive strength of the sandpack was increased as much as 30 times by injecting 0.5 pore volume of hydrogel. Also, it was found that the increases in cross-linker and polymer concentrations exhibited a positive impact on the compressive strength of the sandpack, mostly by cross-linker concentration(48 psi). Hydrogel with a higher value of cross-linker could retain its viscoelastic properties against the strain which was a maximum of 122% for 0.5 weight ratio of cross-linker/polymer. The presence of salts, in particular divalent cations, has a detrimental effect on the hydrogel stability. The maximum strain value applied on hydrogel in the presence of CaCl_2 was only about 201% as compared to 1010% in the presence of distilled water. Finally, thermogravimetric analysis and its derivative showed that the hydrogel could retain its structure up to 300 °C. The results of this study revealed the potential application of the hydrogel to control sand production.     

Comparing the Sensitivity of Spot Test Method and a Novel Computer Vision System for Iron Detecting in Fortificated Flours

Controlling of added iron to fortified flours is very important, and the common method is spot test inaccurate method. In this study, we invented a new method based on a computer vision system. We also compared the accuracy of this method and the spot test with atomic absorption spectroscopy. In new method, ferrous sulfate particles in the samples were oxidized, and some red spots were formed on the surface of samples. The captured images from samples were changed to binary images and analyzed using the Clemex Vision 3.5 software. After processing of image, the number of colored spots and the area of spots were determined. The calibration curves were drawn, and in order to compare the sensitivity of the new method with spot test, 33 samples were selected randomly, and the amounts of added iron were detected using new method, spot test, and atomic absorption. We used t test and linear regression tests with a confidence interval of 95 % to compare the results. Results showed that there was a higher correlation (R ²?=?0.988, p?<?0.001) between new method and atomic absorption method in comparison with spot test (R ²?=?0.501, p?<?0.001). Therefore, spot test and atomic absorption can be replaced by an accurate but inexpensive method.     

A computational intelligence‐based approach for short‐term traffic flow prediction

This paper proposes alternative approaches for the prediction of short‐term traffic flow using three branches of computational intelligence techniques, namely linear genetic programming (LGP), multilayer perceptron (MLP) and fuzzy logic (FL). Different LGP, MLP and FL models are developed for estimating the 5‐ and 30‐min traffic flow rates. New LGP‐ and MLP‐based prediction equations are derived for the traffic flow rates in the 5‐ and 30‐min time intervals. The models are established upon extensive databases of the traffic flow records obtained from Iran's Rasht‐Qazvin highway. The results indicate that the proposed models are effectively capable of predicting the target values. The LGP‐based models are found to be simple, straightforward and more practical for predictive purposes compared with the other derived models.     

Application of adaptive neuro-fuzzy inference system in prediction of hydrate formation temperature

A look at the number of publications in the last decades on the prediction of hydrate forming conditions for various gas mixtures obviously indicates the importance of this field from scientific and industrial viewpoints. Yet, the correlations presented in the literature are not accurate enough and also some of these correlations are presented mainly in graphical form, thus making it difficult to use them within general computer packages for simulation and design. In this study adaptive neuro-fuzzy inference systems were used to produce a nonlinear model to predict the hydrate formation temperature. The model was trained using 303 input–output patterns collected from reliable sources. The adaptive neuro-fuzzy inference system model enables the user to accurately predict hydrate formation conditions under varying system conditions (i.e., temperature, pressure, and gas composition), without having to do costly experimental measurements. Also, statistical error analysis is used to evaluate the performance and the accuracy of the adaptive neuro-fuzzy inference system for estimating natural gas hydrate formation to guide designers and operators in selecting the best system conditions for their particular applications. It is shown that the results of predictions are in acceptable agreement with experimental data indicating the capability of the adaptive neuro-fuzzy inference system for predicting hydrate formation conditions of natural gases.     

A single-chip dual-band tri-mode CMOS transceiver for IEEE 802.11a/b/g wireless LAN

A single-chip dual-band tri-mode CMOS transceiver that implements the RF and analog front-end for an IEEE 802.11a/b/g wireless LAN is described. The chip is implemented in a 0.25-/spl mu/m CMOS technology and occupies a total silicon area of 23 mm/sup 2/. The IC transmits 9 dBm/8 dBm error vector magnitude (EVM)-compliant output power for a 64-QAM OFDM signal. The overall receiver noise figure is 5.5/4.5 dB at 5 GHz/2.4 GHz. The phase noise is -105 dBc/Hz at a 10-kHz offset and the spurs are below -64 dBc when measured at the 5-GHz transmitter output.