Agriculture and the theory of industrialization in the Thoorvai novel

Advancement of agriculture with reference to the novel “Thoorvai” Indian economy mostly dependent on Agriculture. She slighted charge is the agriculture will affect other sectors dramatically. India is the second most populous nation, First in millet production, second in wheat and paddy production and comes third in coconut production. For highly populated nations like India, a focus an agriculture is necessary to maintain food safety. Without receiving enough compensation, farmers from earlier generations are less likely to allow their forebears to participate in agriculturem, which results in a decline in agricultural activity this research

A Study of the Techniques of Poet Vairamuthu’s Film Songs

The poets use various techniques in the song to reach out to the people with ease of conveying the idea that has arisen in their hearts. Lyricists are structured to renew themselves each time with the ideas and ideas of the times. Lyricists use strategies to establish themselves and identify themselves uniquely. The main aim of the technique is to inculcate the idea in the minds of the listeners of the song. Strategy plays an important role in beautification in films with many changes over time. In some songs, the method of delivery is better than the content. Ka Pa Aravaanan says, "The content of creation is like the body. But the mode of realization is like life." Poet Vairamuthu has used techniques to improve the quality of his songs as well as to simply convey his point of view. It is evident from his songs that he has employed techniques in his songs to convey the literary influence of Sangam literature, epics, moral stories, legends, epics, etc., to the people

Synthesis And Characterization Of Undoped And Co-Doped SnO2 Nanoparticles

Undoped and Co-doped (1 and 3 at. %) SnO2 nanoparticles were synthesized by a simple co-precipitation method. X-Ray diffraction data revealed that both undoped and doped samples crystallize in the tetragonal rutile phase with CoO phase in doped samples. The lattice parameters of doped samples calculated from XRD data do not vary much when compared to undoped one indicating that Co has not substituted the host lattice. The surface morphology investigated by SEM indicates the cluster formation in Co-doped (1 and 3 at. %) nanoparticles and the chemical composition of the samples were analyzed by energy dispersive spectroscopy (EDS). UV-Vis spectrum of undoped system showed absorption at 408 nm (3.04 eV), which is red shifted by 0.56 eV compared to bulk SnO2 (3.6 eV) due to the cluster nature of the sample. The UV-Vis spectra of doped samples showed absorption in the visible region due to the formation of CoO phase, which is also evident from the XRD spectra. PL spectra showed characteristic UV emission at 409 nm and blue emission at 480 nm. The characteristic vibrational modes of SnO2 were studied from FTIR analysis. EPR measurement of Co-doped (3 at .%) SnO2 nanoparticles showed the paramagnetic behavior which may be attributed to the occupation of Co2+ ions in the interstitial site rather than the substitutional site. The absence of ferromagnetism is due to the high doping concentration of Co (> 1 at. %) and also due to the high annealing temperature which destroys the hyperfine splitting. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/939

A study to assess the effectiveness of prone position on oxygen saturation among preterm babies in selected hospital, Chennai, Tamilnadu

BACKGROUND: An infant whose birth weight less than 2500g, regardless of their gestational age is called low birth weight infants. Reduction in infant and child mortality is a major goal of strategy to achieve health for all. The major contribution of infant death is by a neonate which is a serious concern, since nearly 5 million neonates die each year in the world of which 96% are in the developing countries, effective reduction of such high neonatal death rate remains a major global challenge in 21st century. The investigator, through self experience analysed the need for implementing the different positions that may be favourable to the preterm babies with low cost. The findings of this experiment may also be adopted in settings with lesser facilities. These viewpoints motivated me to experiment to find the best position which provides good heart rate, respiratory rate and oxygen saturation for preterm babies. STATEMENT OF THE PROBLEM: A study to assess the effectiveness of prone position on oxygen saturation among preterm babies in selected hospital, Chennai, Tamilnadu. OBJECTIVES: 1. To assess and compare the pretest and post test level of oxygen saturation among preterm babies in study and in control group. 2. To determine the effectiveness of prone position on the level of oxygen saturation among preterm babies in study group. 3. To associate the post test level of oxygen saturation among preterm in study and control group with their selected demographic variable. Research Design: In this present study experimental research design was selected. Setting: The present study was conducted in Neonatal intensive care unit SIMS Hospitals, Chennai. Participants: Total participants were 60 preterm babies in NICU. The experimental group 30 and control group 30 who met the inclusion criteria were selected. METHOD: Sample was selected by non probability convenient sampling. The investigator introduced herself to the parents and developed a good rapport and made them to co operate with the study. After getting demographic data, pre- test was done with the help of the prepared tool. After the pre-test ,prone position was given for two hours and duly the period preterm babies assessed by using the same tool. Based on the collection data, effectiveness was found by comparing the prone &supine position data were analyzed by using Paired ‘t’ test and chi square test. RESULT: Compares the respiratory rate between the prone and supine position. It shows there is a statistically significant difference (p < 0.05) after 90 minutes of first day and second day 60 minutes onwards. Statistical significance was calculated using student independent t test. Compares the oxygen saturation between the prone and supine position. It shows there is a statistically significant difference (p < 0.01) after first day 30 minutes onwards. Statistical significance was calculated using student independent t-test. A significant difference was found between physiological parameters of respiration prior to prone position and two hours after the intervention. The findings of this study indicated that prone position in respiratory distress had a favorable impact physiological parameters of respiration. CONCLUSION: One of the essential component of the newborn care is correct positioning as positioning can affect the baby’s body system positively or negatively. By different positioning of infants, there are a variety of physiological outcomes affected including respiratory function, hemodynamic, neuromotor development, gastric function and sleep characteristics. Therefore, the goals of adaptive position are improving physiologic status, enhancing motor control, reducing stress, and weight gain. The optimal posture for improving the physiological parameters of neonates were discussed in this study. The analysis of data provides evidence that prone positioning in neonates proved in improving oxygen saturation and reducing the respiratory rate than supine position

An optimized MAC based architecture for adaptive digital filter

906-915Filter design in signal processing field plays a vital role in achieving low power dissipation, which is essential for portable gadgets. This paper proposes an effective flexible FIR filter structure, which is adaptive and utilizes multiply–accumulate (MAC) core. Most common algorithm for filter coefficient optimization includes least mean square (LMS) and recursive least square (RLS). Though the performance of the recursive least square (RLS) algorithm is superior as compared to the least mean square (LMS); because of higher arithmetic complexity in design, it has not been preferred for real time applications. The fundamental filter has used a LMS based tapped delay line filter, which is practically a feasible choice for adaptive filtering algorithm in order to attain lesser computation. In the proposed work, the adjustable coefficient filters using an optimized LMS approach has been implemented for the utilization of determining the unexplored system. The filter tap considered here is a 32-tap and its analysis and synthesis has been carried out using hardware description language (HDL) programming and synthesized in field programmable gate array (FPGA) devices. The placement and post routing design has offered good performance in terms of utilized resources. The implemented filter architecture requires 80% reduction in resources and has enhanced the clock frequency by about five times when examined with the reported architecture

High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers

This paper presents the high-impedance fault (HIF) detection and identification in medium-voltage distribution network of 13.8 kV using discrete wavelet transform (DWT) and intelligence classifiers such as adaptive neuro-fuzzy inference system (ANFIS) and support vector machine (SVM). The three-phase feeder network is modelled in MATLAB/Simulink to obtain the fault current signal of the feeder. The acquired fault current signal for various types of faults such as three-phase fault, line to line, line to ground, double line to ground and HIF is sampled using 1st, 2nd, 3rd, 4th and 5th level of detailed coefficients and approximated by DWT analysis to extract the feature, namely standard deviation (SD) values, considering the time-varying fault impedance. The SD values drawn by DWT technique have been used to train the computational intelligence-based classifiers such as fuzzy, Bayes, multi-layer perceptron neural network, ANFIS and SVM. The performance indices such as mean absolute error, root mean square error, kappa statistic, success rate and discrimination rate are compared for various classifiers presented. The results showed that the proffered ANFIS and SVM classifiers are more effective and their performance is substantially superior than other classifiers

An optimized MAC based architecture for adaptive digital filter

Filter design in signal processing field plays a vital role in achieving low power dissipation, which is essential for portable gadgets. This paper proposes an effective flexible FIR filter structure, which is adaptive and utilizes multiply–accumulate (MAC) core. Most common algorithm for filter coefficient optimization includes least mean square (LMS) and recursive least square (RLS). Though the performance of the recursive least square (RLS) algorithm is superior as compared to the least mean square (LMS); because of higher arithmetic complexity in design, it has not been preferred for real time applications. The fundamental filter has used a LMS based tapped delay line filter, which is practically a feasible choice for adaptive filtering algorithm in order to attain lesser computation. In the proposed work, the adjustable coefficient filters using an optimized LMS approach has been implemented for the utilization of determining the unexplored system. The filter tap considered here is a 32-tap and its analysis and synthesis has been carried out using hardware description language (HDL) programming and synthesized in field programmable gate array (FPGA) devices. The placement and post routing design has offered good performance in terms of utilized resources. The implemented filter architecture requires 80% reduction in resources and has enhanced the clock frequency by about five times when examined with the reported architecture

Multiple Bandwidth FIR Filter Design with Adaptive Algorithms for Hearing Aid Systems

605-623Digital Filter design plays a vital role in signal processing and communication applications. This paper proposes a hearing loss system model with Variable Bandwidth FIR Filter (VBF) and adaptive algorithms for the application to listening. The tunable band filter is designed to provide an appropriate sound level. This filter has several sub-filters each of which is designed with set of selected bandwidths. The sub-bands obtained are adjusted with proper magnitude by trial and error method. Algorithms such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) are incorporated to improve the quality of the signal. The filter thus designed is examined by taking a number of audio signals. The tests on various hearing loss cases with different type of input signal suggest that this method is capable of reproducing a signal which sounds exactly the same as the original signal. The multiple bandwidth filters is analyzed with mild, moderate, profound and severe hearing loss patterns and the results are reported. The matching error is calculated between ideal response and actual response. The result show that the designed filter provides acceptable minimum matching error and it lies in the range 0 to 2.5dB.This filter design is implemented in TMS320C6711 processor and is tested for sinusoidal input signal

An Effective SPOT System by Monitoring Outgoing Messages

ABSTRACT-Develop an effective spam zombie detection system named SPOT. In the network SPOT can be used to monitoring outgoing messages. Using internet some attacker try to spread the spams or malware in order to collect the information about the network. The detection of the compromised machines in the network that are involved in the spamming activities is known as spam zombie detection system. The detection system can be used to identify the misbehavior of the person using Spam zombie detection system. We will create a framework to identify the message from the various persons. This system will record the information of the IP address using SPOT Detection Algorithm. We also compare the performance of SPOT with two other spam zombie detection algorithms based on the count and percentage of spam messages originated or forwarded by internal machines. Using these above techniques we will avoid and block the person who sends the spam&apos;s message

Multiple Bandwidth FIR Filter Design with Adaptive Algorithms for Hearing Aid Systems

Digital Filter design plays a vital role in signal processing and communication applications. This paper proposes a hearing loss system model with Variable Bandwidth FIR Filter (VBF) and adaptive algorithms for the application to listening. The tunable band filter is designed to provide an appropriate sound level. This filter has several sub-filters each of which is designed with set of selected bandwidths. The sub-bands obtained are adjusted with proper magnitude by trial and error method. Algorithms such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) are incorporated to improve the quality of the signal. The filter thus designed is examined by taking a number of audio signals. The tests on various hearing loss cases with different type of input signal suggest that this method is capable of reproducing a signal which sounds exactly the same as the original signal. The multiple bandwidth filters is analyzed with mild, moderate, profound and severe hearing loss patterns and the results are reported. The matching error is calculated between ideal response and actual response. The result show that the designed filter provides acceptable minimum matching error and it lies in the range 0 to 2.5dB.This filter design is implemented in TMS320C6711 processor and is tested for sinusoidal input signal