PS-Sim: A Framework for Scalable Simulation of Participatory Sensing Data

Emergence of smartphone and the participatory sensing (PS) paradigm have paved the way for a new variant of pervasive computing. In PS, human user performs sensing tasks and generates notifications, typically in lieu of incentives. These notifications are real-time, large-volume, and multi-modal, which are eventually fused by the PS platform to generate a summary. One major limitation with PS is the sparsity of notifications owing to lack of active participation, thus inhibiting large scale real-life experiments for the research community. On the flip side, research community always needs ground truth to validate the efficacy of the proposed models and algorithms. Most of the PS applications involve human mobility and report generation following sensing of any event of interest in the adjacent environment. This work is an attempt to study and empirically model human participation behavior and event occurrence distributions through development of a location-sensitive data simulation framework, called PS-Sim. From extensive experiments it has been observed that the synthetic data generated by PS-Sim replicates real participation and event occurrence behaviors in PS applications, which may be considered for validation purpose in absence of the groundtruth. As a proof-of-concept, we have used real-life dataset from a vehicular traffic management application to train the models in PS-Sim and cross-validated the simulated data with other parts of the same dataset.Comment: Published and Appeared in Proceedings of IEEE International Conference on Smart Computing (SMARTCOMP-2018

Shock Waves in Dusty Gas with Radiation Effects

The jump conditions across a three dimensional curved shock in dusty gas with radiation have been derived. The general Rankine-Hugoniot relations for a three dimensional curved shock in dusty gas with radiation are investigated. These relations differ considerably from those without radiation effects. The most important parameter is the ratio of radiation pressure to the pressure of the mixture (gas+dust), ie the radiation pressure number Rp. The successive approximations have been used for different cases depending upon the value of radiation pressure number. In certain cases, the result. may be expressed in terms of an effective ratio of specific heats and an effective dusty gas pressure. A general method of solution is given and some numerical results are obtained

Three Dimensional Shock Waves in a Gaseous Medium Containing Dust Particles

In this Paper the discontinuous jump in the flow parameters such as density, Pressure, energy, velocity, enthalpy, entropy, etc., across the three dimensional shock wave in a dusty medium which is a homogeneous mixture of a perfect gas and dust particles with no heat conduction or viscosity has been computed. We have also obtained the relations for density shock strength and pressure shock strength respectively in a medium

Water Split Behaviour in Cylindrical and Conical Cyclones

Cyclones of various designs are in use in the mineral indu-stry to separate particles based on size and/or density. Apart from mineral industry they are also used in the chemical industry food processing industry, power plants etc. It is, therefore, clear that cyclones have wide spread applications and naturally research work towards understanding the actual separation mechanism inside a cyclone has been a major topic amongst all those relevant areas. However, development of suitable mathematical models towards tailor-made designs of cyclones is still lacking due to the complexities associated with it

Fluidized Bed Separators - A Comprehensive Review

Mineral processing industries are using hydraulic separa-tors throughout history for classification and gravity concentration of various minerals as well as coal. More commonly referred to as hindered-bed or fluidized-bed sep-arators, these units make use of differential particle settling velocities to segregate particles according to shape, size and/or density

NMR structure of an acyl-carrier protein from Borrelia burgdorferi

The high-resolution NMR structure of the acyl-carrier protein from the pathogen B. burgdorferi determined to a r.m.s. deviation of 0.4 Å over the protein backbone is reported. The NMR structure was determined using multidimensional NMR spectroscopy and consists of four α-helices and two 310-helices. Structural comparison reveals that this protein is highly similar to the acyl-carrier protein from A. aeolicus

Energy Efficient Data Transmission Scheme for Internet of Things Applications

Recently, there is a rapid increase in the use of Internet of Things (IoT) technology, and it is envisaged that in the forthcoming days, billions of devices and things are going to be interconnected among themselves with the help of Internet. To make this technology self-sustainable, there is a need for an incessant energy supply that can be achieved through green energy harvesting. IoT has attracted the attention of researchers as well as practitioners all over the globe by serving as an important architecture for communication systems, but the terminal devices used in IoT are resource-constrained, which results in low energy storage capacity and low computing power. Among several tasks that need to be performed at the level of IoT node, the data transmission is the most energy intensive phase. To provide continuous power to nodes used in IoT systems, it is imperative that the available energy source should be used judiciously and in an optimized manner. In this paper, an energy efficient data transmission scheme for IoT devices has been proposed. The result obtained through extensive experiments depicts that there is a high potential for saving energy during the process of data transmission

Advanced numerical scheme and its convergence analysis for a class of two-point singular boundary value problems.

[EN]In this article, a novel approach based on the shooting projection method and the Legendre wavelet operational matrix formulation for approximating a class of two-point SBVPs with Dirichlet and Neumann–Robin boundary conditions is proposed. For the new approach, an initial guess is postulated in contrast to the boundary conditions in the first step. The second step deals with the usage of the Legendre wavelet operational matrix method to solve the initial value problem (IVP). Further, the resulting solution of the IVP is utilized at the second endpoint of the domain of a differential equation in a shooting projection method to improve the initial condition. These two steps are repeated until the desired accuracy of the solution is achieved. To support the mathematical formulation, a detailed convergence analysis of the new approach is conducted. The new approach is tested against some existing methods such as various types of the variational iteration method, considering several numerical examples to which it provides high-quality solutions

NEW APPROACH BASED ON COLLOCATION AND SHIFTED CHEBYSHEV POLYNOMIALS FOR A CLASS OF THREE-POINT SINGULAR BVPS.

[EN]In the recent decades, variety of real-life problems arises in astrophysics have been mimic using the class of three-point singular boundary value problems (BVPs). Finding an effective and accurate approach for a class of three-point BVPs is still a difficult problem, though. The goal of this paper is to design a numerical strategy for approximating a class of three-point singular boundary value problems using the collocation technique and shifted Chebyshev polynomials. Utilizing shifted Chebyshev polynomials, the problem is reduced to a matrix form, which is then converted into a system of nonlinear algebraic equations by employing the collocation points. The key advantages of the new approach are (a) it is a straightforward mathematical formulation, which makes it effortless to code, and (b) it is easily adaptable to solve various classes of three-point singular boundary value problems. The convergence analysis is carried out to ensure the viability of the proposed scheme

Performance Evaluation of Water-Injection Cyclone Treating a Synthetic Mixture

The effect of change in operating variables i.e., vortex finder diameter,spigot diameter nd water injection rate on different performance numbers is studied in water-injection cyclone treating a synthetic mixture of atomized Ferro-silicon and ground silica sand. Suitable empirical models relating the operating variables and fines (below 25 microns) recovery, ferro-silicon and silica recoveries in the overflow productand the separation efficiency at 25 microns size are developed. At comparable levels of ope-rating throughput, the performance numbers obtained in a 100mm water-injection cyclone and a 100mm normal hydro- cyclone are discussed. An overall fines recovery of 85.6% was obtained in the overflow product of water-injection cyclone whereas in a normal hydrocyclone the combined fines recovery in the overflow product was 46.2%. Similarly the ferro-silicon recovery at fines below 25 microns in the overflow product from water-injection cyclone was 55.5% while that of hydro-cyclone was only 9.8%. Also, silica recovery at fines below 25 microns in the overflow product of a water-injection cyclone was 98.6% in comparison to 82.1% in a normal hydrocyclone. Separation efficiency values obtained between coarse and fine products at 25 microns in the overflow product of water-injection cyclone and hydro-cyclone were 83.5% and 45.8% respectively which indicates sharper classification in water-injection cyclone