Resource allocation in cellular networks based on marketing preferences

As the usage of cellular phones increases wireless subscribers demand many advanced networking capabilities, especially multimedia applications with very high Quality of Service (QoS) requirements. The limited availability of radio spectrum enforces Mobile Network Operators (MNOs) to have efficient resource management strategies. The goal is to offer services that satisfy the QoS requirements of individual users while achieving an efficient utilization of network resources. This paper considers a resource allocation strategy for cellular networks to be applied during call initiation, handoff and allocation of mobile base stations. Long-term customer retention becomes a major challenge for MNOs due to severe competition in the telecommunications industry. Therefore the MNOs need to understand the customer demographics as well as the customer spending behavior in telecommunications market. Our proposed model combines the information about the customer demographics and usage behavior once the call is initiated. Our hypothesis is that using customer information together with call information yields an efficient customer-oriented resource management strategy. We have performed simulations with different real-life scenarios. Our results show that our proposed model performs better in terms of revenue increase when compared to the First-Come First-Serve based approach.     

Development of ductile green flame retardant poly(lactic acid) composites using hydromagnesite&huntite and bio-based plasticizer

Turning brittle poly(lactic acid) (PLA) to ductile form via plasticizer inclusion is an effective option in the case of processing with high amounts of additives. Additionally, the integration of natural flame retardants to PLA involving bio-based plasticizer enables to use of environmentally friendly composites in conditions where fire resistance performance is required. In the current study, ductile green fire retardant PLA composites were manufactured using hydromagnesite&huntite (HH) as a natural fire retardant additive and acetyl tributyl citrate as a bio-based plasticizer. The influences of plasticizer and HH contents on the fire retardant, thermal and mechanical performances of the composites were explored. According to test results, the limiting oxygen index (LOI) value of PLA reduced from 29.2 to 28.0 and the UL-94 V rating changed from V2 to BC with the addition of 20 wt% plasticizer owing to the reduction in melt viscosity. The peak heat release rate (pHRR) and average heat release rate (avHRR) values increased steadily as the concentration of plasticizer increased due to the formation of a more porous residue structure stemming from the increased transportation rate of gases. In order to produce ductile flame retardant material, the plasticizer content was required to 20 wt% of HH. The highest LOI value (36.2) and UL-94 rating of V0 were achieved with the inclusion of 70 wt% HH in the presence of 20 wt% plasticizer. Improvement in impact resistance and reduction in tensile strength were observed as the added amount of plasticizer increased.     

Use of oligonucleotide array for identification of six foodborne pathogens and Pseudomonas aeruginosa grown on selective media

Identification of presumptive foodborne pathogens grown on selective media may take one to several days and requires a different battery of biochemical tests for each microorganism. A molecular identification method was developed in which universal primers were used to amplify the 16S to 23S rDNA intergenic spacer of target microorganisms, and PCR products were hybridized to a panel of species-specific oligonucleotides that were immobilized on a nylon membrane. The seven target microorganisms were Bacillus cereus, Escherichia coli, Listeria monocytogenes, Pseudomonas aeruginosa, Salmonella, Staphylococcus aureus, and Vibrio parahaemolyticus. After testing a large collection of target bacteria (29 to 51 strains) and nontarget bacteria (> 500 strains), the performances (sensitivity and specificity) of the oligonucleotide array were as follows: B. cereus (100 and 77%), E. coli (100 and 100%), L. monocytogenes (100 and 90%), P. aeruginosa (100 and 100%), Salmonella (100 and 100%), S. aureus (100 and 100%), and V. parahaemolyticus (100 and 94.2%). Other species in the B. cereus group cross-hybridized to the probes used for identification of B. cereus, and positive results should be confirmed by additional morphological observation of colonies. Listeria innocua cross-reacted with probes used to identify L. monocytogenes, but a simple hemolysis test was used to differentiate the two species. Some strains of Vibrio harveyi and Vibrio mimicus cross-hybridized with probes used for identification of V. parahaemolyticus and caused false-positive reactions. The advantage of the array is that a common protocol was used to identify the seven target microorganisms and multiple different microorganisms could be simultaneously identified on a single array.     

Removal of copper(II) and cadmium(II) ions from aqueous solutions by biosorption onto pine cone

In this study, the removal of copper(II) and cadmium(II) ions from aqueous solutions by biosorption onto pine cone was studied. Variables that affect the biosorption process such as pH, biosorbent dosage, initial metal ion concentration, contact time and temperature of solution were optimized. Experimental data were fitted to Langmuir, Freundlich, Dubinin Radushkevich and Temkin isotherm models to investigate the equilibrium isotherms. Pseudo-first-order, pseudo-second-order and intraparticle diffusion kinetic models were used to determine the biosorption mechanism. The thermodynamics of biosorption were studied for predicting the nature of biosorption. Experimental results showed that pine cone could be evaluated as an alternative precursor for removal of heavy metal ions from aqueous solutions, due to its high biosorption capacity, availability, and low cost.     

OSPF routing with optimal oblivious performance ratio under polyhedral demand uncertainty

We study the best OSPF style routing problem in telecommunication networks, where weight management is employed to get a routing configuration with the minimum oblivious ratio. We consider polyhedral demand uncertainty: the set of traffic matrices is a polyhedron defined by a set of linear constraints, and a routing is sought with a fair performance for any feasible traffic matrix in the polyhedron. The problem accurately reflects real world networks, where demands can only be estimated, and models one of the main traffic forwarding technologies, Open Shortest Path First (OSPF) routing with equal load sharing. This is an NP-hard problem as it generalizes the problem with a fixed demand matrix, which is also NP-hard.     

Heat and Mass Transfer in Unsaturated Porous Cake with Heated Walls

The mineral granules in the industrial drying units such as rotary dryer or fluidized dryer or the membrane in the PEMFC experience transient multiphase heat and mass transfer with transient heating mode. In particular, the transport process within mineral granules in the dryer is difficult to model owing to effects of complicated granule-granule collision and granule-heated surface. This article presents a comprehensive model consisting of continuity and heat and mass balances of three phases in an unsteady state. Numerical results revealed the flow patterns and temperature distributions of gas and liquid phases in mineral granule over time. The thermal response of the heated medium will be very different under low and high mixing intensities. The development of a recirculation liquid zone to balance the yielded capillary suction gradient enhances local evaporation and vapor accumulation rates, thus determining the overall evaporation rate form medium.     

Questioning the validity of present models for estimating the performances of zeolite-polymer mixed matrix membranes

An investigation was carried out to determine the applicability of the conventional models to the mixed matrix permeability data reported in the literature. The series, parallel, Maxwell, effective medium theory (EMT), geometrical mean, and te Hennepe models were employed to estimate the zeolite permeabilities pertaining to various gases. The variations of the zeolite permeabilities with respect to the model, polymer type, and zeolite loading used were taken as indicators of the suitability of the models to be applied to permeability data. Data reported for various zeolites and polymers were utilized in the calculations. The results obtained showed that in many cases, taking into consideration the zeolite and polymer permeabilities and the zeolite loading is not sufficient to describe the performances of the zeolite-polymer mixed matrix membranes in an accurate manner. It is demonstrated that the properties of an additional phase, the interphase, should also be taken into consideration for a better prediction.     

Sedimentation of Permeable Floc

Sedimentation is an essential step to dewatering of wet materials. The present work utilized the computerized axial tomography scanner (CAT scan) to probe the sedimentation behavior of suspension with different initial solid concentrations. Not as assumed by traditional Kynch theory, the solid flux was not only a function of local solid fraction, but also of the settling time and the initial concentrations. Hence, the interior structure of floc was explored by the fluorescence in situ hybridization (FISH) and confocal laser scanning microscope (CLSM). Subsequently, the three-dimensional floc model was built up and intrafloc flow fields numerically solved. The area-weighted average pressure drop in the floc and mean flow rates estimated the floc permeability, based on Darcy's law, which were noted to vary along different principal axes and for different flocs. Local structure determines local flow field, hence determining the settling behavior of floc. Floc of large pores with low tortuosity produced easy flow-through paths, giving fast settling. Use of the average properties, such as porosity, cannot describe the sedimentation behavior of permeable flocs.     

Exergetic performance analysis of a PEM fuel cell

In this paper we investigate the effects of thermodynamic irreversibilities on the exergetic performance of proton exchange membrane (PEM) fuel cells as a function of cell operating temperature, pressures of anode and cathode, current density, and membrane thickness. The practical operating conditions are selected to be 3–5 atm for anode and cathode pressures, and 323–353 K for the cell temperatures, respectively. In addition, the membrane thicknesses are chosen as 0.016, 0.018 and 0.02 cm, respectively. Moreover, the current density range of the PEM fuel cell is selected to be 0.01–2.0 A cm^?2. It is concluded that exergy efficiency of PEM fuel cell decreases with a rise in membrane thickness and current density, and increases with a rise of cell operating pressure and with a decrease of current density for the same membrane thickness. Thus, it can be said that, in order to increase the exergetic performance of PEM fuel cell, the lower membrane thickness, the lower current density and the higher cell operating pressure should be selected in case PEM fuel cell is operated at constant cell temperature. Copyright © 2005 John Wiley & Sons, Ltd.