Cry The Peacock: A Critical Evaluation

Anita Majumdar Desai is a Sahitya Akademy Award winning writer. She received this award for the novel Fire on the Mountain in 1978. She has fourteen novels to her credit. As a novelist she has been shortlisted three times for the Booker Prize successively in the years 1980 for the novel Clear Light of Day,1984 for the novel In Custody,1999 for the novel Fasting, Feasting. She was born in Mussoorie on 24 June 1937. She is an Indian novelist and the Emeritus John Burchard Professor of Humanities at the Massachusetts Institute of Technology. She was born to a German mother, Toni Nime, and a Bengali businessman, D.N. Mazumdar

Improve performance of fast steady state response for DC servo motor by fuzzy logic implementation

The DC Servo Motors has top position in various servomechanisms. It is important to study DC Servo motor along with its position control study. Generally transient responses of DC Servo Motor are improved by using PID controller. Currently, to provide workable initial value most tuning methods have been designed. The workable initial value further manually corrected for special requirement. The work presents fast tuning and flexible method which is based on Fuzzy logic. The GA (genetic algorithm) is used to determine some optimal parameter of PID controller. In this paper simulation results shows Fuzzy logic satisfied with wide range of requirement with compared to the tuning method. Fuzzy logic gives the actual response with respect to required response . DOI: 10.17762/ijritcc2321-8169.15068

Meson Masses and Mixing Angles in 2+1 Flavor Polyakov Quark Meson Sigma Model and Symmetry Restoration Effects

The meson masses and mixing angles have been calculated for the scalar and pseudoscalar sector in the framework of the generalized 2+1 flavor Polyakov loop augmented quark meson linear sigma model. We have given the results for two different forms of the effective Polyakov loop potential. The comparison of results with the existing calculations in the bare 2+1 quark meson linear sigma model, shows that the restoration of chiral symmetry becomes sharper due to the influence of the Polyakov loop potential. We find that inclusion of the Polyakov loop in quark meson linear sigma model together with the presence of axial anomaly, triggers an early and significant melting of the strange condensate. We have examined how the inclusion of the Polyakov loop qualitatively and quantitatively affects the convergence in the masses of the chiral partners in pseudoscalar ($\pi$, $\eta$, $\eta'$, $K$) and scalar ($\sigma$, $a_0$, $f_0$,$\kappa$) meson nonets as the temperature is varied on the reduced temperature scale. The role of $U_A(1)$ anomaly in determining the isoscalar masses and mixing angles for the pseudoscalar ($\eta$ and $\eta'$) and scalar ($\sigma$ and $f_0$)meson complex, has also been investigated in the Polyakov quark meson linear sigma model. The interplay of chiral symmetry restoration effects and the setting up of $U_A(1)$ restoration trend has been discussed and analyzed in the framework of the presented model calculations.Comment: 15 pages, 8 figures, 4 table

Enhanced Transmission and Receiver Diversity in Orthogonal Frequency Division Multiplex Systems using Blind Channel Estimation

This paper deals with the blind channel estimation technique in OFDM system with receiver diversity to analyze the bit error rate with respect to the number of symbols. The paper clearly brings out the advantage that is being offered by the use of Blind channel estimation technique in terms of SNR requirements. Also a comparative study has been made for the analysis of BER variation with the amount i.e. number of symbols being transmitted. The work also explores the possibility of obtaining an optimum value of number of receivers that may lead to desired BER for threshold value of SNR in an OFDM system

A Summative Comparison of Blind Channel Estimation Techniques for Orthogonal Frequency Division Multiplexing Systems

The OFDM techniquei.e. Orthogonal frequency division multiplexing has become prominent in wireless communication since its instruction in 1950’s due to its feature of combating the multipath fading and other losses. In an OFDM system, a large number of orthogonal, overlapping, narrow band subchannels or subcarriers, transmitted in parallel, divide the available transmission bandwidth. The separation of the subcarriers is theoretically optimal such that there is a very compact spectral utilization. This paper reviewed the possible approaches for blind channel estimation in the light of the improved performance in terms of speed of convergence and complexity. There were various researches which adopted the ways for channel estimation for Blind, Semi Blind and trained channel estimators and detectors. Various ways of channel estimation such as Subspace, iteration based, LMSE or MSE based (using statistical methods), SDR, Maximum likelihood approach, cyclostationarity, Redundancy and Cyclic prefix based. The paper reviewed all the above approaches in order to summarize the outcomes of approaches aimed at optimum performance for channel estimation in OFDM system

Dynamic Instruction Scheduling For Microprocessors Having Out Of Order Execution

Dynamic Instruction Scheduling is very much needed for fast working of multiprocessor and reduction of overhead by the processor. The Instruction scheduling logic mainly depends on associative searching of the entries to the dynamic wakeup instructions for the execution. We also describes the scheduler concept which also the concern for scalability and complexity of the multiprocessor. We have different Dynamic Instruction Scheduling Logic highlighting the objectives, goals, advantages and challenges facing during scheduling logic like energy issues and complexity issues as well as full description of dynamic instruction Scheduling logic. In this paper, we will be presented in a comprehensive analysis to reschedule the execution order of instructions for improve the performance of microprocessor. General Terms: Design, Performance, Measurement Keywords: Dynamic Instruction Scheduling, Instruction Grouping, Issue Queue

Compact Modeling of Parasitic Internal Fringe Capacitance Effects on the Threshold Voltage of High-K Gate Dielectric Nanoscale SOI MOSFETs

A compact model for the effect of parasitic internal fringe capacitance on threshold voltage in high-K gate dielectric SOI MOSFETs is developed. Our model includes the effects of the gate dielectric permittivity, spacer oxide permittivity, spacer width, gate length and width of MOS structure. A simple expression for parasitic internal fringe capacitance from the bottom edge of the gate electrode is obtained and the charges induced in the source and drain regions due to this capacitance are considered. We demonstrate an increase in surface potential along the channel due to these charges resulting in a decrease in the threshold voltage with increase in gate dielectric permittivity. The accuracy of the results obtained using our analytical model is verified using 2-D device simulations.Comment: Journal Pape

The Impact of the I-35 Hot Lane Toll Cap on Congestion and Revenue

The Minnesota Department of Transportation has deployed a dynamic toll pricing algorithm that charged tolls to single-occupant vehicles for using the MnPASS lanes during the operational hours. The toll algorithm was set to vary tolls from $0.25 up to$8 i.e., the toll cap, based on the traffic conditions on the MnPASS lanes. This research analyzed the pattern of occurrence of toll caps on I-35W MnPASS lanes using two years (2016 and 2017) of toll transaction data. Toll caps were most frequently charged to morning hour trips that began near Burnsville and Highway 13 tolling locations and ended near Downtown Minneapolis in the northernmost section of the I-35W MnPASS lanes. Many SOV travelers continued to pay to use the MnPASS lanes when the toll was $8 which resulted in the level of service C conditions and below near Cliff road. Speed and Flow readings near Cliff road became worse when trips were charged the maximum toll. Additionally 65-70$8 tolls, had an average trip speed below 50 mph. Hence, the toll algorithm was unable to raise tolls during peak demand and maintain least LOS C traffic conditions during the toll cap. This research estimated speed and flow on the MnPASS lanes at tolls greater than the toll cap. MnPASS customers were assumed to choose MnPASS lanes over GP lanes only if the increased toll was worth their travel time savings. Moreover, customers who paid $8 toll may be willing to pay a greater toll than$8. It was found that MnPASS lanes could maintain least LOS C conditions along with better throughput and increased revenue if the toll could exceed $8