A novel cloud management framework for trust establishment and evaluation in a federated cloud environment

The Journal of Supercomputing - Cloud Computing is being utilized by large-scale organizations for data storage and management. It provides advantages like reducing the cost of information...     

Functional and health-endorsing properties of wheat and barley cell wall’s non-starch polysaccharides

Cereals have captured global importance owing to the presence of bioactive moieties in cell wall. Numerous components have been considered but non-starch polysaccharides (NSP) of cereals cell wall are of prime concern. In this comprehensive review, the basic aim is to elaborate the functional and nutritional importance of cereals cell wall with special reference to NSP. Among bioactive components of cell wall, NSP, such as arabinoxylans, ß-glucans, and arabinogalactans of wheat and barley, have gained much importance. Moreover, literature revealed that NSP have greater role as prebiotic, immunomodulator, antioxidant, anti-diabetic, and cardio-protector as well as major food applications.     

Multiaspect‐based opinion classification model for tourist reviews

Tourist reviews on social media websites reflect the tourist's opinions concerning various aspects of a tourist place or service (e.g., “comfortable room” and “terrible service” in hotel reviews). Extracting these aspects from reviews is a challenging task in opinion mining. Therefore, aspect‐based opinion mining has emerged as a new area of social review mining. Existing approaches in this area focus on extracting explicit aspects and classification of opinions around these aspects. However, the implicit and coreferential aspects during aspect extraction are often neglected, and the classification of multiaspect opinions is relatively less emphasized in prior art. In this paper, we propose a model, namely, “enhanced multiaspect‐based opinion classification” that addresses existing challenges by automatically extracting both explicit and implicit aspects and classifying the multiaspect opinions. In this model, first, a probabilistic co‐occurrence‐based method is proposed that utilizes the co‐occurrence between aspects and sentiment words to identify the coreferential aspects and merge them into groups. Second, an implicit aspect extraction method is proposed that associates the sentiment words with suitable aspects to build an aspect‐sentiment hierarchy. Third, a multiaspect opinion classification approach is proposed that employs multilabel classification algorithms to classify opinions into different polarity classes. The effectiveness of the proposed model is evaluated by conducting experiments on benchmark and real‐world datasets. The experimental results revealed the supremacy of multilabel classifiers by achieving 90% accuracy per label on classification when extracting 87% domain‐relevant aspects. A state‐of‐the‐art performance comparison is conducted that also verifies the advantages of the proposed model.     

Analyzing viscoelastic effects in piston skirts EHL at small radial clearances in initial engine start up

Non-Newtonian engine lubricant and EHL film enhance engine life at small clearance in normal engine operation. It is not so in initial engine startup. This study models 2-D Maxwell viscoelastic hydrodynamic and EHL of piston skirts in initial engine startup. The 2-D Reynolds equation and the inverse solution technique are used for EHL solutions. Numerical solutions predict viscoelastic effects on piston eccentricities, hydrodynamic pressures and EHL films at different small radial clearances. Results are compared with Newtonian model, which suggest that viscoelasticity is beneficial for skirts lubrication at small radial clearances. Outcomes optimize small radial clearance in initial engine startup.     

Determinants of academic use of the Internet: a structural equation model

The last decade of the 20th century brought radical changes in information and communication technology. Internet usage is being widely researched in the business world. However, the use of the Internet in academic settings in general and in vocational and technical establishment in particular is a neglected area. Successful use of the Internet is largely dependent upon the user's behaviour that, in turn, affects their attitudes. Even when remarkable opportunities exist for the deployment of technology, adverse attitude can inhibit use. Keeping this in mind, a survey of 166 academics of four technical and vocational colleges was conducted to study the attitudes of academics toward the use of the Internet. This study develops a model and validates two specific attitudinal variables--perceived usefulness and perceived ease of use--which are hypothesized to be fundamental determinants of use of the Internet. Adding two more variables--such as task characteristics and computer exposure--test the parsimony of the model further. A structural equation modelling technique is used to validate the model. The study confirmed that 79% of academics are using the Internet. Computer experience, perceived usefulness and perceived ease of use remain to be fundamental determinants of attitude formation. No other variables have been found to be significant.     

A review of heat exchanger tube bundle vibrations in two-phase cross-flow

Flow-induced vibration is an important concern to the designers of heat exchangers subjected to high flows of gases or liquids. Two-phase cross-flow occurs in industrial heat exchangers, such as nuclear steam generators, condensers, and boilers, etc. Under certain flow regimes and fluid velocities, the fluid forces result in tube vibration and damage due to fretting and fatigue. Prediction of these forces requires an understanding of the flow regimes found in heat exchanger tube bundles. Excessive vibrations under normal operating conditions can lead to tube failure.

Relatively little information exists on two-phase vibration. This is not surprising as single-phase flow induced vibration; a simpler topic is not yet fully understood. Vibration in two-phase is much more complex because it depends upon two-phase flow regime, i.e. characteristics of two-phase mixture and involves an important consideration, which is the void fraction. The effect of characteristics of two-phase mixture on flow-induced vibration is still largely unknown. Two-phase flow experiments are much more expensive and difficult to carry out as they usually require pressurized loops with the ability to produce two-phase mixtures. Although convenient from an experimental point of view, air–water mixture if used as a simulation fluid, is quite different from high-pressure steam–water. A reasonable compromise between experimental convenience and simulation of steam–water two-phase flow is desired.

This paper reviews known models and experimental research on two-phase cross-flow induced vibration in tube bundles. Despite the considerable differences in the models, there is some agreement in the general conclusions. The effect of tube bundle geometry, random turbulence excitations, hydrodynamic mass and damping ratio on tube response has also been reviewed. Fluid–structure interaction, void fraction modeling/measurements and finally Tubular Exchanger Manufacturers Association (TEMA) considerations have also been highlighted.