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Viswanath, K.
- Welded Tuffs from Mangampeta, Cuddapah District Andhra Pradesh
Authors
1 Geology Department, Andhra University, Waltair-530003, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 20, No 12 (1979), Pagination: 615-618Abstract
Close association of peralkaline vitric crystal tuffs (welded) with the massive dark grey stratified barytes deposit is reported. Megascopic and microscopic description of the rocks reveal that these rocks are of eruptive origin.
Chemical analyses of three representative rock samples are given. Peculiar chemical characteristics are discussed.
- Low Power VLSI based Design and Implementation of MLP-BP Neural Network for Detection of Kidney Stone in Real Time
Authors
1 Pondicherry Engineering College, IN
2 Dept of ECE, Pondicherry Engineering College, Pondicherry, IN
Source
Automation and Autonomous Systems, Vol 5, No 4 (2013), Pagination: 175-180Abstract
In recent years one of the most common problems that occur in the human urinary system is kidney stones or urinary stones. There are many Methods of medical imaging that can be used to examine parameters of human kidneys, for example magnetic resonance imaging (MRI), x-ray computed tomography (CT), ultrasound imaging (US), and many others. This detection is very important for the doctor to determine the status of the kidneys and also to visualize any abnormalities present in the kidney [2]. Any person affected with a problem in kidney suffers with a pain in early stage. The detection of abnormalities of kidney inside the body is a main field of study in medical research by bio-medical image processing[1-4], Due to some abnormalities (speckle noise) in ultrasound or MRI images and artifacts, wrong diagnosis may happen by analyzing the scanned image. Therefore in this work the main focus is on development of new hardware implementation based on neural network architecture for detection of kidney stone in real time by optimizing area, power and speed on FPGA [5]. This algorithm implemented on Vertex-II Pro FPGA device and simulated in matlab [9].
Keywords
Kidney Stone Disease, Multilayer Perceptions, Back Propagation, Artificial Neural Networks, Training Algorithm, Verilog, Montgomery Multiplier and Carry Save Adder.- Design and Implementation of Parallel MLP-Back Propagation Neural Network Technique for Image Compression and Decompression on FPGA
Authors
1 R.L Jalappa Institute of Technology, Bangalore, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 7 (2013), Pagination: 337-342Abstract
Due to the increasing traffic caused by multimedia information and digitized form of representation of images, image compression become a necessity. The Parallel multilayer perceptron (MLP)[1] back propagation neural network Distributive Arithmetic (DA) architecture has a reduced latency and a good throughput. This design is twice faster than the simple Distributive Arithmetic Architecture and is thus suitable for applications that require high speed image processing algorithms and implemented using IP core and chipscope on vertex-2 Pro (2vp30- ff896-7).Keywords
Parallel Back Propagation Neural Network (MLP), Distributive Arithmetic (DA), Look-Up Table (LUT), FIR Filter.- Effect of Mental Health on Creativity
Authors
1 Department of Psychology, SVU College of Sciences, Tirupati, Andhra Pradesh, IN
Source
Indian Journal of Health and Wellbeing, Vol 6, No 11 (2015), Pagination: 1109-1113Abstract
The aim of the present research is to examine the effect of mental health on creativity among high school going students. For the present study 600 high school boys and girls were selected. To assess the mental health and creativity of the students; Mental Health Analysis Questionnaire by Reddy and Nagarathnamma and Creativity Scale by Venkatarami Reddy was admitted to students. To test the hypotheses the data was interpreted using 't' test. Results revealed that there is significant impact of mental health on creativity. High creative group boys and girls possessed better mental health than low creative boys and girls.Keywords
Mental Health, Creativity And Gender.- Variability in Parasitic Ability of Trichoderma Isolates against Sclerotia of Sclerotium rolfsii Associated with Chickpea
Authors
1 Regional Agricultural Research Station, Tirupati - 517 502, Andhra Pradesh, IN
2 NRRI-Central Rainfed Upland Rice Research Station, Hazaribagh, Jarkhand, IN
3 Department of Plant Protection, Palli Siksha Bavana, Viswava Bharati, Bolpur – 731235, West Bengal, IN
Source
Journal of Biological Control, Vol 31, No 3 (2017), Pagination: 184-193Abstract
Parasitic ability of Trichoderma isolates was tested against Sclerotium rolfsii in two types of soils viz., natural and sterilized soils to assess the ecological adaptability of Trichoderma spp. to a soil. The isolate ATPU 1 (EID50 of 2.1 mycelia/gm of soil) was most effective in parasitization of sclerotia of S. rolfsii when used as live bait, under the natural soil of, when mycelial form of inoculum was used. This isolate was closely followed by KNO 2 and ATPP 6 which had the same EID50 of 2.2 mycelia/gm of soil, the next best isolates were KNP 3 and ATPPE 6 with EID50 of 2.3 mycelia/gm of soil. The isolate KT 6 (EID50 5.7) was rated as poorest competitive colonizer, requiring comparatively highest inoculum level to colonize 50% sclerotia of S. rolfsii . However the conidial form of inoculum from KNK1 (EID50 value of 2.2 conidia/gm of soil) was most aggressive isolate requiring lowest inoculum dose for 50% colonization of sclerotia of S. rolfsii.Keywords
Chickpea, Competitive Parasitic Ability, Trichoderma spp.References
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- Local Expression of Hessian Structures and Dissections on Manifolds
Authors
1 School of Mathematics & CIS., University of Hyderabad, Hyderabad, IN