Packet Scheduling Scheme to Guarantee QoS in Internet of Things

Wireless Personal Communications - In this paper, a new prediction based dynamic scheduling mechanism is proposed to ensure quality of service especially in internet of things (IoT) by dynamically...     

Artificial Neural Network Modeling of Water Activity: a Low Energy Approach to Freeze Drying

A method for reducing the energy consumption during freeze drying has been proposed. Water activity variation with time has been explored for button mushroom (Agaricus bisporus L.). The effect of primary and secondary drying temperatures on water activity was found significant (p < 0.05) as compared to sample thickness and pressure. The economics of the process showed that an energy reduction up to 34.9% could be achieved if the final water activity was constrained at 0.6. Artificial neural network tool has been used to develop a model for predicting the water activity precisely for a given combination of time, initial moisture content, vacuum pressure, sample thickness, and primary and secondary drying temperatures. The model-predicted values were found to be in good agreement (R = 0.97) with the experimental data. The model developed is expected to extend its aid in energy reduction for freeze drying of other food products.     

Formulation and Development of Self-Nanoemulsifying Granules of Olmesartan Medoxomil for Bioavailability Enhancement

The present investigation was aimed to formulate self-nanoemulsifying granules (SNEGs) of poorly water soluble drug, Olmesartan Medoxomil (OLM) to improve its solubility and oral bioavailability. Acconon sorb 20, Tween 80, and Carbitol were selected as oil, surfactant and cosurfactant, respectively for the development of liquid self-nanoemulsifying system (L-SNEDDS), which subsequently adsorbed on a carrier (Aerosil 200) to develop SNEGs. The results of in vitro and in vivo study of OLM-SNEGs revealed remarkable improvement compared to pure OLM. The present study proposed SNEGs as one of the suitable approach for developing nanosized solid oral dosage forms of OLM.     

Bibliography Resource structure properties of natural cellulosic fibres — an annotated bibliography

We present a review of the work on the structure and properties of some natural lignocellulosic fibres with a classified list of references on resource, structure, physico-mechanical properties and on the uses of these fibres. This list of references includes papers published in scientific journals and in the proceedings of conferences.     

Implementing effective staff education about advance directives

The Patient Self-Determination Act of 1990 guarantees the right to refuse medical or surgical treatment and the right to draft advance directives. This review of the current literature provides those in nursing staff development and inservice education with an overview of advance directives and their implications for nursing education and practice. Possible core subjects for inclusion in planned, purposeful, advance directive education programs are examined, including cultural sensitivity, facilitator skills, interviewing techniques, legal information, patient autonomy, and reasoning and decision making. This review provides a platform for future research.     

Investigations on d.c. conductivity behaviour of milled carbon fibre reinforced epoxy graded composites

This paper reports the d.c. conductivity behaviour of milled carbon fibre reinforced polysulphide modified epoxy gradient composites. Milled carbon fibre reinforced composites having 3 vol. % of milled carbon fibre and poly sulphide modified epoxy resin have been developed. D.C. conductivity measurements are conducted on the graded composites by using an Electrometer in the temperature range from 26°C to 150°C. D.C. conductivity increases with the increase of distance in the direction of centrifugal force, which shows the formation of graded structure with the composites. D.C. conductivity increases on increase of milled carbon fibre content from 0·45 to 1·66 vol.%. At 50°C, d.c. conductivity values were 1·85 × 10⁻¹¹, 1·08 × 10⁻¹¹ and 2·16 × 10⁻¹² for samples 1, 2 and 3, respectively. The activation energy values for different composite samples 1, 2 and 3 are 0·489, 0·565 and 0·654 eV, respectively which shows decrease in activation energy with increase of fibre content.     

Energy and exergy analysis of a CI engine using tyre pyrolysis oil blends with diesel

Tyre pyrolysis oil (TPO) blend with diesel can be used as an alternate fuel. Tests have been carried out to analyse the energy and exergy characteristics of diesel engine fuelled by B10, B20 and B30 blend of TPO with diesel fuel. TPO was derived from waste automobile tyres through vacuum pyrolysis process (batch type). In this paper, the brake thermal efficiencies of TPO of different blends (10%, 20% and 30%) are compared with the pure diesel and discussed. Further, exergy and energy values of TPO–diesel with different blends are analysed.     

Radiation and slip effects on MHD point flow of nanofluid towards a stretching sheet with melting heat transfer

In the present paper, the melting heat transfer of a nanofluid over a stretching sheet is investigated. Magnetohydrodynamic stagnation point flow with thermal radiation and slip effects is considered for this study. The governing model of the flow is solved by Runge–Kutta fourth-order method using appropriate similarity transformations. Temperature and velocity fields are presented for various flow pertinent parameters. Nondimensional physical parameters such as Prandtl number, radiation parameter, Brownian motion parameter, Lewis number, thermophoresis parameter, magnetic parameter, and melting parameter on fluid velocity, heat, concentration, skin friction, Sherwood number, and Nusselt number are presented graphically and discussed numerically. Heat transfer rate can be increased by increasing slip, melting, or radiation parameter. Mass transfer increases for greater values of melting parameter or slip parameter while radiation parameter shows the opposite impact on mass transfer.