A comprehensive system for image scene classification

In recent years, image scene classification based on low/high-level features has been considered as one of the most important and challenging problems faced in image processing research. The high-level features based on semantic concepts present a more accurate and closer model to the human perception of the image scene content. This paper presents a new multi-stage approach for image scene classification based on high-level semantic features extracted from image content. In the first stage, the object boundaries and their labels that represent the content are extracted. For this purpose, a combined method of a fully convolutional deep network and a combined network of a two-class SVM-fuzzy and SVR are used. Topic modeling is used to represent the latent relationships between the objects. Hence in the second stage, a new combination of methods consisting of the bag of visual words, and supervised document neural autoregressive distribution estimator is used to extract the latent topics (topic modeling) in the image. Finally, classification based on Bayesian method is performed according to the extracted features of the deep network, objects labels and the latent topics in the image. The proposed method has been evaluated on three datasets: Scene15, UIUC Sports, and MIT-67 Indoor. The experimental results show that the proposed approach achieves average performance improvement of 12%, 11% and 14% in the accuracy of object detection, and 0.5%, 0.6% and 1.8% in the mean average precision criteria of the image scene classification, compared to the previous state-of-the-art methods on these three datasets.

     

Electrochemical synthesis,characterization and application of a microstructure Cu<Subscript>3</Subscript>(BTC)<Subscript>2</Subscript> metal organic framework for CO<Subscript>2</Subscript> and CH<Subscript>4</Subscript> separation

The electrochemical route is a promising and environmentally friendly technique for fabrication of metal organic frameworks (MOFs) due to mild synthesis condition, short time for crystal growth and ease of scale up. A microstructure Cu₃(BTC)₂ MOF was synthesized through electrochemical path and successfully employed for CO₂ and CH₄ adsorption. Characterization and structural investigation of the MOF was carried out by XRD, FE-SEM, TGA, FTIR and BET analyses. The highest amount of carbon dioxide and methane sorption was 26.89 and 6.63 wt%, respectively, at 298 K. The heat of adsorption for CO₂ decreased monotonically, while an opposite trend was observed for CH₄. The results also revealed that the selectivity of the developed MOF towards CO₂ over CH₄ enhanced with increase of pressure and composition of carbon dioxide component as predicted by the ideal adsorption solution theory (IAST). The regeneration of as-synthesized MOF was also studied in six consecutive cycles and no considerable reduction in CO₂ adsorption capacity was observed.     

Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing

Neural Computing and Applications - The cloud computing systems are sorts of shared collateral structure which has been in demand from its inception. In these systems, clients are able to access...     

Preparation of carbon molecular sieve from lignocellulosic biomass: A review

A literature review on preparation of carbon molecular sieve (CMS) from lignocellulosic biomass is presented. The effect of various operation parameters such as pyrolytic temperature, flow rate of the carbonizing agent and time of pyrolysis on the carbonization of the lignocellulosic biomass as a carbon precursor was reviewed. Various physical and chemical processes for the activation of the biomass-based char and their effects on textural properties of the activated char were discussed. Conversion of activated chars to CMS as the final stage of the preparation process through different techniques of chemical vapor deposition (CVD) and controlled pyrolysis was assessed. Survey of literature revealed that production of CMS with BET surface area of 1247 m²/g and micropore volume of 0.51 cm³/g, under appropriate conditions has been reported. Also, maximum selectivity of 7.6 and 400 for separation of O₂/N₂ and CO₂/CH₄ was devoted to palm shell and coconut shell-based CMS, respectively.     

A novel potentiometric sensor for promethazine based on a molecularly imprinted polymer (MIP): The role of MIP structure on the sensor performance

A novel potentiometric sensor based on a molecularly imprinted polymer (MIP) for determination of promethazine (PMZ) was prepared. Promethazine MIP particles were prepared and dispersed in 2-nitrophenyloctyl ether and then embedded in a polyvinyl chloride matrix. The effect of the monomers type on the sensor performance was investigated, and an important role for this parameter was shown. It was shown that the membrane electrode with a MIP prepared by vinylbenzene and divinylbenzene had a better performance in comparison to membrane electrodes containing MIPs prepared with methacrylic acid-ethylene glycol dimethacrylate or vinylbenzene-ethylene glycol dimethacrylate. After optimization, the membrane electrode constructed with a MIP of vinylbenzene-divinylbenzene exhibited a Nernstian response (31.2 ± 1.0 mV decade⁻¹) over a wide concentration range, from 5.0 × 10⁻⁷ to 1.0 × 10⁻¹ M, with a low detection limit of 1.0 × 10⁻⁷ M and a response time of ∼50 s. The method has the requisite accuracy, sensitivity and precision to assay PMZ in syrup samples and biological fluids.     

Electrophoretic deposition of chitosan in different alcohols

The electrophoretic deposition (EPD) of chitosan coatings on 316L stainless steel substrates using alcohol–water solutions was investigated in different electrical fields and times. The effect of water content in solution on the pH and conductivity of solution, current density during EPD, deposition rate and morphology, adhesion strength, and corrosion resistivity of coatings were studied. The difference between the conductivities obtained from conductivity meter and Ohm’s law was used as a criterion for the degree of water electrolysis during EPD. It was found that in the same water content, the degree of water electrolysis decreases as the molecular weight of alcohol increases. The optimum water content to achieve high quality coatings was 5, 15, and 20 vol% in methanol, ethanol, and isopropanol, respectively.     

A hydrodynamic model of a continuous supercritical fluid extraction system for the treatment of oil contaminated solids

Supercritical fluid extraction (SFE) has the potential to recover compounds from a range of solid matrices if a fully continuous process can be commercialized. This paper presents the development of a hydrodynamic model for a continuous pilot scale SFE process, involving countercurrent flow of a slurry and a supercritical fluid. The model developed is based on first principles and focuses on predicting pressure and slurry level within the extraction vessel. The model was validated using pilot scale system data. Using adjusted parameters, the model accurately predicted steady state pressure and provided a good estimate of slurry level.     

Viewerphilic nightscape based on correlated color temperature

Nowadays, many factors are involved in lighting design to achieve targeted lighting in addition to meeting the user's requirements and security to avoid energy loss. As building indexation at night is one of the main reasons for building lighting, it is necessary to make a decision to reduce energy consumption and increase observer's attention. The present study investigated the relationship between the correlated color temperature of the background and building based on the amount of visual attention and the amount of visual desirability. In this article, using a factor analysis approach, a range that attracts visual attention and visual desirability at the same time was obtained, and it is called viewerphilic perspective. The results presented in the form of a diagram show a relationship between the variables that directly and indirectly influence the formation of a viewerphilic night perspective. The results showed that the elements with a high correlated color temperature in the background and a low correlated color temperature and neutral color were in the viewerphilic range, while the elements with a low color temperature and a background with a high color temperature was in the range of viewer phobic.     

DOA estimation of LFM signal based on Krylov subspace method

Telecommunication Systems - Direction of arrival estimation of LFM signal is an essential task in radar, sonar, acoustics and biomedical. In this paper, a short time Fourier transform multi-step...