Sampled Reference Frame Algorithm Based on Space Vector Pulse Width Modulation for Five Level Cascaded H-Bridge Inverter

In This paper the Sampled Reference Frame Algorithm for Five Level Cascaded H-Bridge Inverter is presented. This simple method is less computation method than Sector Identification. This SVPWM can drive any Multilevel Inverter with good DC utilization, less switching stress. This is used for high voltage and high power applications. By using Sampled Reference Frame Algorithm, there is no use of look up tables, sector selection, no need of reference voltage and angle information, 3φ to 2φ transformation. The inverter's structure of these inverters is developed by using MATLAB SIMULINK software

Antibacterial, Antioxidant activity and Phytochemical studies of Crossandra infundibuliformis leaf extracts

The aim of the present study was to evaluate Crossandra infundibuliformis (Acanthaceae family) for its antibacterial, antioxidant activity and phytochemical constituents. The leaves of C. infundibuliformis were screened for antibacterial activity against six pathogenic bacteria isolated from clinical samples such as Shigella dysenteria, Pseudomonas aeruginosa, Serratia marcescens, Salmonella typhimurium, Proteus mirabilis & Staphylococcus aureus by extracting them in ethanol, petroleum ether and water. Ethanol extract exhibited inhibition zone against all the pathogens comparable to the standard (Amikacin), whereas no zone of inhibition was observed in petroleum ether and water extracts. Phytochemical analysis showed the presence of flavonoids, saponins, terpenoids, cardiac glycoside, reducing sugars and tannins. The ethanol extract of C. infundibuliformis leaves appeared to be good antioxidant agent with maximum inhibition percentage of 89.27 ±0.284 % at 16µg/ml whereas standard Quercetin showed maximum inhibition percentage of 94.30 ±0.272 % at 22µg/ml

Note on the unusual landings of Amblygaster sirm off Vizhinjam coast

Unusual landings of the clupeid Amblygaster sirm(spotted sardinella), was noticed during the October– December 2016 along the Vizhinjam coast. Locallyknown as Keerichala, regular landings of A. sirmwas observed in all the major landing centres alongthe Thiruvananthapuram coast like Mampally,Anjengo, Perumathura, Thazhampally, Marianad,Valiyathura, Poonthura etc

An Integrated Cross Layer Design to Enhance the Quality of Service of Video Streaming in Mobile Adhoc Networks

The intent of this paper is to put forth a novel technique for improvising the QoS of multimedia applications in by using Modified dynamic mapping algorithm and Multipath transport(MPT) and Multi Description Coding(MDC). The improvement is attained by applying the MDC at application layer along with UDPLite in transport layer and multipath at network layer and Modified dynamic mapping in MAC Layer.Thismethod attains an increase of 30.84% in Peak Signal to Noise Ratio (PSNR) and 18.57% decrease in delay in contrast to the conventional methods

Effectiveness of breast crawling technique in the early expulsion of placenta and blood loss among women in third stage of labour

Effectiveness of breast crawling technique in the early expulsion of placenta and blood loss among women in third stage of labour OBJECTIVES: to assess the ability of newborn to initiate breast feeding through breast crawling technique. to evaluate the effectiveness of breast crawling on early expulsion of placenta and blood loss among women in third stage between control and experimental group. to correlate between breast crawling and early expulsion of placenta and blood loss among the experimental group. to associate between the early expulsion of placenta and blood loss with selected demographic variables in experimental group . OPERATIONAL DEFINITIONS Effectiveness It refers to evaluate the effectiveness of breast crawling technique in statistical significant difference in expulsion of placenta and total blood loss. Breast crawling technique Every newborn, when placed on her mother‟s abdomen, soon after birth, has the ability to find her mother‟s breast all on her own and to decide when to take the first breast feed. This is called the “breast crawl”. Early expulsion of placenta After complete separation of the placenta, it is forced down into the flabby lower uterine segment and out of vagina before 15 minutes due to contraction and retraction process. Parturient women The women who is in the process of labour. Third stage of labour It begins after expulsion of the fetus and ends with expulsion of the placenta and membrane (after birth). Its average duration is about 15 minutes in both primigravida and multipara. PROJECTED OUTCOME: Breast crawl will enhance the ability of newborn to initiate breast feeding without assistance from the investigator or mother. Physiological management of early suckling will reduce the total duration of third stage of labour and blood loss

A Robust Grey Wolf-based Deep Learning for Brain Tumour Detection in MR Images

In recent times, the detection of brain tumour is a common fatality in the field of the health community. Generally, the brain tumor is an abnormal mass of tissue where the cells grow up and increase uncontrollably, apparently unregulated by mechanisms that control cells. A number of techniques have been developed so far; however, the time consumption in detecting brain tumor is still a challenge in the field of image processing.  This paper intends to propose a new detection model even accurately. The model includes certain processes like Preprocessing, Segmentation, Feature Extraction and Classification. Particularly, two extreme processes like contrast enhancement and skull stripping are processed under initial phase, in the segmentation process, this paper uses Fuzzy Means Clustering (FCM) algorithm. Both Gray Level Co-occurrence Matrix (GLCM) as well as Gray-Level Run-Length Matrix (GRLM) features are extracted in feature extraction phase. Moreover, this paper uses Deep Belief Network (DBN) for classification. The DBN is integrated with the optimization approach, and hence this paper introduces the optimized DBN, for which Grey Wolf Optimization (GWO) is used here.  The proposed model is termed as GW-DBN model. The proposed model compares its performance over other conventional methods in terms of Accuracy, Specificity, Sensitivity, Precision, Negative Predictive Value (NPV), F1Score and Matthews Correlation Coefficient (MCC), False negative rate (FNR), False positive rate (FPR) and False Discovery Rate (FDR), and proven the superiority of proposed work.

Smart Agriculture System Towards Iot Based Wireless Sensor Network

WSN is being hugely preferred in diverse application like the military, surveillance, agriculture, industry as well. Nowadays, huge research is being carried out in the WSN exploitation, more particularly in the field of irrigation management. A serious concern need to be raised in the growing water demand, as it is the fundamental source for the growth of crops. The traditional irrigation system are not good in managing the water resources, they provide unnecessary water to one part of land, while letting the other part to pass away. Further, this irrigation system also helps the weeds to grow wealthier along with the crops.  In this research work a novel smart agriculture system is developed based on IoT. In the Target coverage phase, the critical TCOV and NCON issues are resolved using an Improved Euclidean Spanning Tree Model (IECST) with hybrid optimization model (LFUM). The hybrid optimization model (LFUM) is the hybridized form of LA and FF. In the Sensor deployment phase, the crops (target) are identified and sensors are deployed to crops alone using threshold method. Thus, the crop alone gets irrigated and the weeds are not. Finally, the implemented model is assessed over the traditional tactics in terms of movement distance

A study to assess the effectiveness of curry leaves in reducing blood sugar among type II diabetes clients in selected rural areas at Medavakkam, Chennai

TITLE:A study to assess the effectiveness of curry leaves in reducing blood sugar among type II diabetes clients in selected rural areas at Medavakkam, Chennai India leads the world with largest number of diabetic subjects earning the dubious distinction of being termed the "diabetes capital of the world". Need for the study India is currently experiencing an epidemic of diabetes mellitus. From the available region wise population based studies it is clear that in the last two decades, there has been a marked increase in the prevalence of diabetes among both urban as well as the rural Indians, with southern India having the sharpest increase. With these projected increase in the diabetic population in future, South-East Asian countries will become the most challenged region in the World and will bear the maximum global burden of the diseases in the initial decades of the 21st century. Looking in to the severity of the disease and beneficial effects of the herbal plant in managing diabetes, present study is planned. Objectives: The main aim of the study was to evaluate the effectiveness of Curry leaves powder in reducing the blood sugar level among the Type II Diabetic patients residing at rural areas ofMedavakkam. Methodology: Research approach: quantitative research approach Study Setting: The study was conducted in rural area of Medavakkam, Chennai. Research design: experimental study, pre testpost test only design Sampling technique: simple random sampling technique Sample size : In this study the sample comprises of 60 Type-II Diabetic adults in which 30 clients were in experimental and 30 were selected in the control group. Data collection procedure: The investigator selected 60 samples (30 participants in experimental and 30 in control group)by simple random sampling technique using lottery method.. Pre testof post-prandial blood glucose level was assessed by glucometer for both experimental and control group, same instrument was used for both the group and then for the experimental group 10gm of curry leaves powder was given with food , morning/ daily in person for 14 days post assessment was conducted on the 15th day for both experimental and control group. Data analysis The data were analyzed with descriptive statistics like mean, and standard deviation. Inferential statistics like chi-square test, independent t-test were used to analyze the clinical variables. p value of <0.05 was considered statistically significant. Discussion: On comparing the pre and post blood glucose level among Type II Diabetic patients in experimental group and control group, the obtained mean difference were 10.44% and 0.76% respectively.The finding implies that there is a significant difference between the pre and post- prandial blood sugar level in experimental group. Thus the hypothesis was proved. Conclusion: The study was concluded with the findings that there is a significant reduction in blood sugar level of clients in experimental group who were given 10gms of curry leaves powder for 14 days along with their food