Optical Investigation of Sm<Superscript>3+</Superscript> Doped in Phosphate Glass

Samarium doped zinc-magnesium-phosphate glasses having composition (60 – x)P₂O₅–10MgO–30ZnO–xSm₂O₃ where x = 0.1, 0.3, 0.6, 1.0 mol % were prepared by melt quenching technique. Archimedes method was used to measure their densitieswhich are lying in the range 2.65–2.91 g/cm³. On the basis of the increasing trend in the density while increasing the content of Sm₂O₃ it can be concluded that the bridging oxygen is converted to non-bridging oxygen The UV-Vis absorption spectroscopy was carried on in the wavelength range 310–900 nm where the absorption spectra consist of six absorption peaks corresponding to the transitions from the ground state ⁶H_5/2 to various excited energy levels. The optical band gaps are calculated to be 3.93–4.41 eV, 3.31–3.73 eV and 0.27–0.29 eV for direct band gap, indirect band gap and Urbach energy, respectively. The physical parameters like oxygen packing density, refractive index, molar refractivity, metallization, and electronic polarizability are also studied. The Differential Scanning Calorimetry (DSC) technique is used to evaluate the thermal stability.     

Numerical simulation and analysis of a patented desalination and power co-generation cycle

A patented cycle for water desalination and power generation was evaluated with regard to thermal efficiency and water production. The inventor of the patent claimed that the patented cycle provides a thermal efficiency of 41 %, which is higher than current combined water and power generation steam plants. A simulation program was developed to evaluate the thermal efficiency and water productivity of this cycle. Simulation parameters were selected from data provided by the patent as well as data generally used in the design of combined power and desalination plants. Results of the simulation were compared with a simulation of the Jubail-II combined plant. The simulation proved that the patented cycle is far inferior to current dual-purpose MSF desalination plants in terms ofwater production. In addition, the patent was found to have a much lower efficiency than what was claimed by the inventor.     

A correlation to the solution of the two-phase dispersion model

A correlation to the solution of the two-phase dispersion model has been developed for gas-solid fluidized bed reactors operating in the bubbling regime. An analytical solution was obtained for fractional gas conversion by using an exponential function to characterize the dense phase gas concentration profile. The coefficient of the exponential function was found to depend on gas axial dispersion and, in order to determine this parameter, a Peclet number correlation was developed. Model predicted gas conversions were in excellent agreement with experimental conversions for a variety of fluidized bed reaction data over a conversion range from 2.5 to 99%.     

Kinetic analysis of thermal decomposition of boric acid from thermogravimetric data

The kinetic parameters of the thermal decomposition of boric acid have been investigated by using TGA data. Suzuki and Coats-Redfern methods have been applied for the kinetic investigation. It was determined that decomposition kinetics of boric acid occurred in two steps and both regions suitably fit a first-order kinetic model. According to Coats-Redfern method, the activation energy and frequency factor were found as 79.85 kJ·mol^-1 and 3.82x 10⁴ min^-1 for region I and 4.79 kJ·mol^-1 and 4.045 x 10^-5 min^-1 for region II, respectively. The activation energies and frequency factors were found as 4.45 kJ·mol^-1 and 4.08 x10⁸ min^-1 for the Suzuki method.     

BOILING TWO-PHASE FLOW HEAT TRANSFER IN A HORIZONTAL BEND

A paucity of heat transfer rate data for boiling two-phase flow through bends was noted after an extensive literature survey, The present work was undertaken to redress this shortcoming.

A boiling water loop, capable of being operated at pressures up to 1300 kpa, was used. The lest section was in the form of a U-tube with two straight horizontal sections connected by a 180^° return bend. Using this loop, pressure drop and heat transfer data were gathered over a wide range of mass and heat fluxes. steam qualities and system pressures.

The data obtained were used to investigate the variation in heal transfer coefficients around the radial positions of the bend. Correlations for heat transfer coefficients for four different radial positions (top. bollom, inside and outside of the bend) have been presented for the first time. A possible explanation for the observed variations in heat transfer coefficients has also been suggested.     

基于类别分布差异和特征熵的维吾尔语文本特征选择

文本特征选择是在文本自动分类中最重要的一个环节。为了更好地解决维吾尔文文本分类中特征空间的高维性和文档表示向量的稀疏性问题, 提出一种基于特征的类别分布差异和信息熵的维吾尔文文本特征选择方法。该方法不仅要考虑特征在类别间的分布情况, 而且也要考虑特征在类别内的分布情况。采用本方法对维吾尔文文本语料进行了分类实验, 并与一些传统的特征选择方法进行了比较。从结果来看, 本方法在所选特征数更少的情况下, 达到了比其他方法更高的分类MacroF1值853%, 比传统的IG和CHI等方法在MacroF1值上分别高出了43%和61%。     

Mechanical properties of directionally solidified lead-antimony alloys

The Pb-17wt％ Sb alloy was directionally solidified under two solidification conditions:with different temperature gradients (G=0.93-3.67 K/mm)at a constant growth rate(V=17.50 μm/s)and with different growth rates(V=8.3-497 μm/s)at a constant temperature gradient(G=3.67 K/mm)in a Bridgman furnace.Microstructure parameters,such as primary dendrite arm spacing(λ1),secondary dendrite arm spacing(λ2),and dendrite tip radius(R),were measured.The microhardness(Hv)and ultimate tensile strength(σ)of the directional solidification samples were also measured.The influences of solidification and microstructure parameters on Hv and σrwere investigated.The results obtained in this work were compared with similar experimental researches in literatures.It is shown that the Hv and σrvalues increase with the increase of G and V,but decrease with the increase of λ1,λ2,and R.     

A Game Theoretical Approach for Topology Control in Wireless Ad Hoc Networks with Selfish Nodes

In ad hoc networks, a significant amount of energy available to devices is utilized in network management operations. Since devices have limited energy resources, therefore, they drop data packets of other nodes to reduce their energy consumption. This selfish behaviour increases number of retransmissions over the link which increases energy consumption of the source node, introduces time delays, and degrades throughput of the network. Although conventional distributed topology control solutions minimize energy utilization of the nodes by adjustment of transmission power, however, selfish behaviour by devices introduce additional complexity in design which make topology control a challenging task. In this paper, we proposed Energy Efficient Topology Control Algorithm (EETCA) using game theoretical approach, in which, utility of the node depends on selfishness of the neighbors, link traffic rate, and link length. In decision-making step, nodes remove the links with other nodes that have high drop rate under the condition that network remains connected. We show that Nash Equilibrium point of the proposed game results in Pareto optimal network topology. We compare results of EETCA with Optimum (OPT) and Minimum Least Power Path Tree (MLPT) algorithms presented in literature. We carried our simulations under multiple sources scenario which show that EETCA outperforms previous approaches when number of nodes in the network increases. Furthermore, we simulate the performance of Ad-hoc On-demand Distance Vector (AODV) routing protocol under EETCA topology and compare it with MLPT and OPT topologies. The results show that the ad hoc network constructed using proposed solution substantially improves throughput of AODV routing protocol as compared to MLPT and OPT topology control algorithms.     

Highly efficient nonlinear regression for big data with lexicographical splitting

This paper considers the problem of online piecewise linear regression for big data applications. We introduce an algorithm, which sequentially achieves the performance of the best piecewise linear (affine) model with optimal partition of the space of the regressor vectors in an individual sequence manner. To this end, our algorithm constructs a class of \(2^D\) sequential piecewise linear models over a set of partitions of the regressor space and efficiently combines them in the mixture-of-experts setting. We show that the algorithm is highly efficient with computational complexity of only \(O(mD^2)\), where m is the dimension of the regressor vectors. This efficient computational complexity is achieved by efficiently representing all of the \(2^D\) models using a “lexicographical splitting graph.” We analyze the performance of our algorithm without any statistical assumptions, i.e., our results are guaranteed to hold. Furthermore, we demonstrate the effectiveness of our algorithm over the well-known data sets in the machine learning literature with computational complexity fraction of the state of the art.     

Exploring the optical properties of exposed-core-based photonic-crystal fibers

Journal of Computational Electronics - A photonic-crystal fiber (PCF) based on the surface plasmon resonance (SPR) effect with low confinement loss and high sensitivity response is designed and its...