Investigation of aircraft landing in variable wind fields

A digital simulation study is reported of the effects of gusts and wind shear on the approach and landing of aircraft. The gusts and wind shear are primarily those associated with wind fields created by surface wind passing around bluff geometries characteristic of buildings. Also, flight through a simple model of a thunderstorm is investigated. A two-dimensional model of aircraft motion was represented by a set of nonlinear equations which accounted for both spatial and temporal variations of winds. The landings of aircraft with the characteristics of a DC-8 and a DHC-6 were digitally simulated under different wind conditions with fixed and automatic controls. The resulting deviations in touchdown points and the controls that are required to maintain the desired flight path are presented. The presence of large bluff objects, such as buildings in the flight path is shown to have considerable effect on aircraft landings

Analysis of an unswept propfan blade with a semiempirical dynamic stall model

The time history response of a propfan wind tunnel model with dynamic stall is studied analytically. The response obtained from the analysis is compared with available experimental data. The governing equations of motion are formulated in terms of blade normal modes which are calculated using the COSMIC-NASTRAN computer code. The response analysis considered the blade plunging and pitching motions. The lift, drag and moment coefficients for angles of attack below the static stall angle are obtained from a quasi-steady theory. For angles above static stall angles, a semiempirical dynamic stall model based on a correction to angle of attack is used to obtain lift, drag and moment coefficients. Using these coefficients, the aerodynamic forces are calculated at a selected number of strips, and integrated to obtain the total generalized forces. The combined momentum-blade element theory is used to calculate the induced velocity. The semiempirical stall model predicted a limit cycle oscillation near the setting angle at which large vibratory stresses were observed in an experiment. The predicted mode and frequency of oscillation also agreed with those measured in the experiment near the setting angle

Simulation of electron transport in quantum well devices

Double barrier resonant tunneling diodes (DBRTD) have received much attention as possible terahertz devices. Despite impressive experimental results, the specifics of the device physics (i.e., how the electrons propagate through the structure) are only qualitatively understood. Therefore, better transport models are warranted if this technology is to mature. In this paper, the Lattice Wigner function is used to explain the important transport issues associated with DBRTD device behavior

Mimo Detection

The use of digital wireless communication systems has become more and more common during recent years. A multiple-input-multiple-output (MIMO) system techniques can be implemented to enhance the capacity of a wireless link. We have investigated the performances of MIMO detectors : Linear detectors(ZF detector, MMSE detector), SIC(Successive Interfer- ence Cancellation) signal detectors, Maximum Likelihood detector, Sphere decoding. In SIC signal detection we use MMSE weight matrix

Estimation and Determinants of Chronic Poverty in India : An Alternative Approach

The paper conceptualizes chronic poverty by using the spaces of income and nutrition and estimates its incidence among states and social groups. It also aims to improve our understanding of the determinant of chronic poverty by considering economic, demographic and social factors. It attempts to answer the following questions : How important a determinant of chronic poverty is household income? What factors inhibit escape from chronic poverty? How different are the other poor from chronic poor? The analysis uses the unit level NSS and NFHS data.Chrinic Poverty, India

A Comparative Study of Text Summarization Based on Synchronous and Asynchronous PSO

Text summarization is the process of extracting the most important sentences from the original document without its meaning change. The paper focus on Extractive summarization technique which chooses the important sentences from the document and integrates into summary. An extractive summarization technique, Particle swarm Optimization performs arithmetic operations that enhances a problem, by iteratively trying to improve possible solution with regard to input data. It determines a problem by having a population of possible solutions moving around the search space according to arithmetic formulae over the particles position and velocity. The sequence of modernized particles of PSO can be categorized into Synchronous PSO (S-PSO) and Asynchronous PSO(A-PSO). In synchronous PSO, after calculating the whole performance, velocities and positions of the particles are modernized, this increases the performance. In A-PSO after calculating its performance, velocities and positions of the particles are modernized using partial data which leads to extreme analysis. The comparative study on the synchronous PSO and asynchronous PSO with the precision and recall values for different datasets is considered. Asynchronous PSO has higher precision and recall values compared to synchronous PSO. Asynchronous PSO leads to extreme analysis of data