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Four Side Distance: A New Fourier Shape Signature
A Study on the Effectiveness of Computer Games in Teaching and Learning
Inter Time Series Sales Forecasting
Independent Component Analysis for Filtering Airwaves in Seabed Logging Application
Enhanced Performance of Search Engine with Multitype Feature Co-Selection of K-Means Clustering Algorithm
Improving Utilization of Infrastructure Cloud
Improved Performance of Unsupervised Method by Renovated K-Means
Theoretical study of axially compressed Cold Formed Steel Sections
Clustering Based Lifetime Maximizing Aggregation Tree for Wireless Sensor Networks
Design Equation for CFRP strengthened Cold Formed Steel Channel Column Sections
Analysis and Design of Lead Salt PbSe/PbSrSe Single Quantum Well In the Infrared Region
There is a considerable interest in studying the energy spectrum changes due to the non parabolic energy band structure in nano structures and nano material semiconductors. Most material systems have parabolic band structures at the band edge, however away from the band edge the bands are strongly non parabolic. Other material systems are strongly parabolic at the band edge such as IV-VI lead salt semiconductors. A theoretical model was developed to conduct this study on PbSe/Pb 0.934 Sr0.066 Se nanostructure system in the infrared region. Moreover, we studied the effects of four temperatures on the analysis and design of this system. It will be shown that the total losses for the system are higher than the modal gain values for lasing to occur and multiple quantum well structures are a better design choice.
Cluster-based Target Tracking and Recovery Algorithm in Wireless Sensor Network
From the various issues related to WSN, energy efficiency is considered as one of the important issue. For one of the most killer application such as object tracking where the continuous reporting of object is required consumes more energy of network. As well, recovery mechanism has to be run to locate the target exact position in case of object loss. In this work we are proposing energy and time conserving recovery technique.
Closed-Form Rate Outage Probability for OFDMA Multi-Hop Broadband Wireless Networks under Nakagami-m Channels
Rate outage probability is an important performance metric to measure the level of quality of service (QoS) in the Generation (4G) broadband access networks. Thus, in this paper, we calculate a closed form expression of the rate outage probability for a given user in a down-link multi-hop OFDMA-based system encountered as a result of links’ channel variations. The channel random behavior on different subcarriers allocated to a given user is assumed to follow independent non-identical Nakagami-m distributions. Besides the rate outage probability formulas for single hop and multi-hop networks, we also derive a novel closed form formulas for the moment generating function, probability distribution function (pdf), and the cumulative distribution function (cdf) of a product of independent non-identical Gamma distributed random variables (RVs). These RVs are functions of the attainable signal-to-noise power ratio (SNR) on the allocated group of subcarriers. For single-hop scenario, inspired by the rate outage probability closed formula, we formulate an optimization problem in which we allocate subcarriers to users such that the total transmission rate is maximized while catering for fairness for all users. In the proposed formulation, fairness is considered by guaranteeing a minimum rate outage probability for each admitted user
A Study on Thermal behavior of Nano film as thermal interface layer
Increase in thermal design power and re-duce in manufacturing cost of the processor chip has pushes the need for high performance and durable test fixture design in future. Test fixture with efficient themal management has lowest resistance possible to maintain the accuracy of the device temperature when it makes contact with processor chip’s silicon during test. High thermal conductivity and mechanical relia-bility of text fixures are desired for high volume test environment. Nano film materials such as Aluminum Titanium Nitride (AlTiN), Titanium carbide (TiC), Ti-tanium on Titanium nitride (Ti on TiN), Titanium ni-tride on Titanium (TiN on Ti) and Aluminum(III) Ox-ide (Al2O3) are coated over copper substrates by Fil-tered Cathodic Vacuum Arc (FCVA) deposition method and tested for their thermal conductivity behavior for high volume test (HVM) environment. Thermal con-ductivity of the prepared films is tested by using the ASTM 5470 Thermal Interface Material (TIM) Tester. Titanium on Titanium nitride (Ti on TiN) and Alumi-num (III) Oxide (Al2O3) observed with highest thermal conductivity of 117.68 W/mk and 128.34 W/mk respec-tively among the prepared nano thin films. Thickness of the film and stack configuration influenced the thermal conductivity of the prepared film.
Performance analysis of a model predictive unified power flow controller (MPUPFC) as a solution of power system stability
This paper addresses model predictive controller (MPC) as a powerful solution for improving the stability of an FACTS device like unified power flow controller (UPFC) connected single machine infinite bus (SMIB) power system. UPFC is mainly used in the transmission systems which can control the power flow by controlling the voltage magnitude, phase angle and impedance. And as a controller, MPC, not only provides the optimal control inputs, but also predicts the system model outputs which enable it to reach the desired goal. So, model predictive unified power flow controller (MPUPFC), a combination of UPFC and MPC along with proper system model parameters can provide a satisfactory performance in damping out the system oscillations making the system stable. Simulation is done in Matlab. Response is shown for 4 different states. Effects are shown for 4 control signals of UPFC operating individually and combining 2 at a time.
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