Modeling of breakdown voltage of solid insulating material using artificial neural network

The voids or cavities within the solid insulating material during manufacturing are potential sources of electrical trees which can lead to continuous degradation and breakdown of insulating material due to Partial Discharge (PD). To determine the suitability of use and acquire the data for the dimensioning of electrical insulation systems breakdown voltage of insulator should be determined. A major field of Artificial Neural Networks (ANN)) application is function estimation due to its some useful properties, such as, non-linearity and adaptively especially when the equation describing the function is unknown. In this project, the breakdown voltage due to PD in cavities for five insulating materials under AC conditions has been predicted as a function of different input parameters namely the thickness of the insulating sample ‘t,’ the thickness of the void ‘t1’ diameter of the void ‘d’ and relative permittivity of materials by using the ANN model. The requisite training data are obtained from experimental studies performed on a Cylinder-Plane electrode. The voids are artificially created with different measures. Detailed studies have been carried out to determine the ANN model parameters which give the best results. On completion of training, it is found that the ANN model is capable of predicting the breakdown voltage Vb = f (t, t1, d, ) very efficiently and with a small value of Mean Absolute Error. The system has been predicted using MATLAB

Risk factors for ectopic pregnancy: an institutional study in a tertiary care hospital

Background: Ectopic pregnancy is the leading cause of maternal death during the 1st trimester of pregnancy, accounting for approximately 10% of all pregnancy related deaths. A better understanding of ectopic pregnancy risk can help prevent its occurrence. The present study was designed to evaluate the ectopic pregnancy risk factors and their strength of association with ectopic pregnancy at a tertiary care hospital.Methods: It was a prospective study with 104 cases of ectopic pregnancy and 125 controls conducted in the Department of Obstetrics and Gynecology, SCB Medical College, Cuttack for a period of 1 year. Detailed history suggestive of risks factor for ectopic pregnancy, menstrual and obstetrics history was taken. General, systemic, abdominal and vaginal examination was done. Diagnosis of ectopic pregnancy was confirmed by clinical examination, urine pregnancy test, ultrasonography and culdocentesis and only confirmed cases were included in the study group. Healthy pregnant women were taken as control group.Results: The study revealed that the risk of ectopic pregnancy was associated with the traditional risk factors including previous EP [Adjusted odds ratio (AOR) = 9.98, 95% CI: 0.89-11.1%], previous infertility (AOR= 7.29, 95% CI:2.53-21.0) and previous history of sterilization (AOR=12.47,95% CI: 3.50 - 44.4) and previous history of abortion (AOR= 3.10, 95% CI: 1.53-6.30). Age comparison between cases and controls revealed that the ODDS of having ectopic pregnancy was 4 times in the age group 30 to 35 years as compared to uterine pregnancy and this difference was statistically significant (P value = 0.007).Conclusions: Risk factors such as previous ectopic pregnancy, induction of ovulation, intra uterine device usage, abortion as well as increased maternal age along with recent diagnostic tools aid in early detection of ectopic pregnancy in women resulting in proper and timely treatment

Genetic and Multilocation Evaluation of High Yielding Provenances of Bhimal (\u3cem\u3eGrewia optiva\u3c/em\u3e) on Farmers’ Fields in North Western Himalayas

Agroforestry is the inclusion of woody perennial within farming systems, has been practiced as a traditional land use and livelihood option since time immemorial (FSI 2013). It is being practiced on agricultural lands for fuel wood and fodder (Khybri et al., 1992), as well as medicinal and fruit trees (Bijalwan, 2011; Rathore et al., 2014) enabling food security (Narain 1998), non timber forest products, timber and shelter etc. A number of different (185) agroforestry systems are popular among farmers in different agro-climatic regions (Solanki, 2006). Grewia optiva Drummond (Bhimal) is an important agroforestry tree species primarily grown for green fodder in the north west Himalayas (Khybri et al., 1992; Dhyani, 2009). It is distributed throughout the sub-Himalayan tract upto an altitude of 1800m. Therefore, the present study was envisaged to monitor the performance of three best provenances of Bhimal (Mehta et al., 2011) on farmers’ fields at four locations comprising middle hill elevations and valley zones and their effect on field crops

Squamous Cell Carcinoma of Kidney and Its Prognosis: A Case Report and Review of the Literature

Primary squamous cell carcinoma of the renal parenchyma is an extremely rare entity. The diagnosis of squamous cell carcinoma of the renal pelvis is usually unsuspected due to the rarity and inconclusive clinical and radiological features. Most of the patients are diagnosed at an advanced stage and are with poor outcome. Radical nephrectomy is the mainstay of the treatment. We reported a case of squamous cell carcinoma of the kidney in a 50-year-old female who presented with the right sided abdomen pain. The patient was treated with radical nephrectomy

Management of Rhizoctonia blight of groundnut using antagonistic effects of bioagents and organic amendments

Rhizoctonia blight disease caused by Rhizoctonia solani in groundnut crop is one of the most devastating diseases occurring worldwide. The disease affects the morphological and physiological parameters of the crop leading to reduction in pod yield as well as oil yield. The pathogen was isolated locally and identified as Rhizoctonia solani based on molecular characterization. The efficacy of different bioagents in reducing the radial growth of pathogen was tested in vitro and highest mycelia growth inhibition was recorded by Trichoderma asperellum (89.07 %). Among the fungicides tested, 100 % mycelial growth inhibition was observed by use of Carbendazim 50 WP, Tebuconazole 25.9 % EC, Hexaconazole 5 % suspension concentrate (SC) and Tebuconazole 50 % + Trifloxystrobin 25 % water-dispersible granule (WG). Among different organic substances tested in vitro, neem seed cake achieved maximum mycelial growth inhibition of 50.74 % and 54.08 % at 10 % and 20 % concentrations respectively. In the field experiment, treatment with application of neem seed cake to the soil at 500 kg/ha + application of mustard seed cake to the soil at 500 kg/ha + treatment of seeds with Tebuconazole at 1.5 g/kg of seed + treatment of seeds with T. asperellum at 10 g/kg of seed was found to be the best in enhancing plant health, growth promotion and oil yield. The combined treatment of bioagent, fungicide and organic amendment recorded maximum number of branches (14.00), number of leaves (668.33), plant dry weight (64.17 g), 100 pod weight (65.00 g) and oil yield (47.33 %) compared to the control and other treatments along with reduction of the disease (59.61 %). In the physiological parameters study, the same treatment also recorded maximum pigment contents viz. Chlorophyll a (1.843 mg/g), Chlorophyll b (0.555 mg/g), total chlorophyll (2.397 mg/g) and carotenoid content (0.084 mg/g) but with minimum phenol content (1.693 mg/g). Thus, it can be concluded that integration of selective inputs in the combined treatment of Neem seed cake, Mustard seed cake, Tebuconazole and T. asperellum could enhance the plant health, morphological growth and physiological parameters and increased the oil yield in groundnut along with reduction of the disease

Fungal systematics and evolution : FUSE 7

publishedVersio

Threshold based brain tumor image segmentation

Image processing is most vital area of research and application in field of medical-imaging. Especially it is a major component in medical science. Starting from radiology to ultrasound (sonography), MRI, etc. in lots of area image is the only source of diagnosis process. Now-a-days, different types of devices are being introduced to capture the internal body parts in medical science to carry the diagnosis process correctly. However, due to various reasons, the captured images need to be tuned digitally to gain the more information. These processes involve noise reduction, segmentations, thresholding etc. . Image segmentation is a process to segment the target area of image to identify the area more prominently. There are different process are evolved to perform the segmentation process, one of which is Image thresholding. Moreover there are different tools are also introduce to perform this step of image thresholding. The recent introduced tool PSO is being used here to segment the MRI scans to identify the brain lesions using image thresholding technique.   </jats:p