10,995 research outputs found
Stochastic buckling analysis of sandwich plates: the importance of higher order modes
No full textThe stochastic buckling behaviour of sandwich plates is presented considering uncertain system parameters (material and geometric uncertainty). The higher-order-zigzag theory (HOZT) coupled with stochastic finite element model is employed to evaluate the random first three buckling loads. A cubic in-plane displacement variation is considered for both face sheets and core while quadratic transverse displacement is considered within the core and assumed constant in the faces beyond the core. The global stiffness matrix is stored in a single array by using skyline technique and stochastic buckling equation is solved by simultaneous iteration technique. The individual as well as compound stochastic effect of ply-orientation angle, core thickness, face sheets thickness and material properties (both core and laminate) of sandwich plates are considered in this study. A significant level of computational efficiency is achieved by using artificial neural network (ANN) based surrogate model coupled with the finite element approach. Statistical analyses are carried out to illustrate the results of stochastic buckling behaviour. Normally in case of various engineering applications, the critical buckling load with the least Eigen value is deemed to be useful. However, the results presented in this paper demonstrate the importance of considering higher order buckling modes in case of a realistic stochastic analysis. Besides that, the probabilistic results for global stability behaviour of sandwich structures show that a significant level of variation with respect to the deterministic values could occur due to the presence of inevitable source-uncertainty in the input parameters demonstrating the requirement of an inclusive design paradigm considering stochastic effects.</p
Not Available
No full textR Sharma, A Kishor M Mukesh , S Ahlawat , A Maitra , AK Pandey and MS Tantia(2015) Genetic diversity and relationship of Indian cattle inferred from microsatellite and mitochondrial DNA markers. BMC Genetics 16 : 73 - 84.Not AvailableNot Availabl
Not Available
No full textNot AvailableSearch; Personalize: Your alerts; Your baskets; Your searches. Your alerts; Your baskets; Your searches. login. login. Home > Management of early blight disease of tomato cv 'Kashi Amrit' through fungicides, bioagents and cultural practices in India. World Vegetable Center. Information; Usage statistics; Files; Holdings. Record Details. Title: Management of early blight disease of tomato cv 'Kashi Amrit' through fungicides, bioagents and cultural practices in India. Author(s): Kumar, V. Gupta, RC Singh, PC Pandey, KK Kumar, R. Rai, AB Rai, M. Publication date: 2007. Subject(s): TOMATOES EARLY BLIGHT PLANT DISEASES FUNGICIDES PLANT DISEASE CONTROL DISEASE RESISTANCE ALTERNARIA SOLANI ALTERNARIA ALTERNATA GROWTH India IN …Not Availabl
Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy
No full textIn final from 18 October 2019.Knee arthroscopy is a minimally invasive surgery used in the treatment of intra-articular knee pathology which may cause unintended damage to femoral cartilage. An ultrasound (US)-guided autonomous robotic platform for knee arthroscopy can be envisioned to minimise these risks and possibly to improve surgical outcomes. The first necessary tool for reliable guidance during robotic surgeries was an automatic segmentation algorithm to outline the regions at risk. In this work, we studied the feasibility of using a state-of-the-art deep neural network (UNet) to automatically segment femoral cartilage imaged with dynamic volumetric US (at the refresh rate of 1 Hz), under simulated surgical conditions. Six volunteers were scanned which resulted in the extraction of 18278 2-D US images from 35 dynamic 3-D US scans, and these were manually labelled. The UNet was evaluated using a five-fold cross-validation with an average of 15531 training and 3124 testing labelled images per fold. An intra-observer study was performed to assess intra-observer variability due to inherent US physical properties. To account for this variability, a novel metric concept named Dice coefficient with boundary uncertainty (DSCUB) was proposed and used to test the algorithm. The algorithm performed comparably to an experienced orthopaedic surgeon, with DSCUB of 0.87. The proposed UNet has the potential to localise femoral cartilage in robotic knee arthroscopy with clinical accuracy.M. Antico, F. Sasazawa, M. Dunnhofer, S.M. Camps, A.T. Jaiprakash, A.K. Pandey, R. Crawford, G. Carneiro, and D. Fontanaros
Quantifying Uncertainty in Structural Responses of Polymer Sandwich Composites: A Comparative Analysis of Neural Networks
No full textThe manufacturing and fabrication of complex polymer sandwich composite plates involve various processes and parameters, and the lack of control over them causes uncertain system parameters. It is essential to consider randomness in varying parameters to analyse polymer sandwich composite plates. The present study portrays uncertainty quantification in structural responses (such as natural frequencies) of polymer sandwich composite plates using the surrogate model. The comparative study of artificial neural network (ANN) and polynomial neural network (PNN) for uncertain structural responses of the sandwich plate is presented. The proposed ANN as well as PNN algorithm is found to be convergent with intensive Monte Carlo simulation (MCS) for uncertain vibration responses. The predictability of PNN is observed to be more efficient than that of ANN. Typical material properties, skew angle, fibre orientation angle, number of laminate and core thickness are randomly varied to quantify the uncertainties. The use of both the surrogate models (PNN and ANN) results in a significant saving of computational time and cost compared to that of full-scale intensive finite element-based MCS approach.</p
Sewage sludge derived biochar and its potential for sustainable environment in circular economy: Advantages and challenges
No full textWith the increase in population and wastewater generation, the management of solid by-products, including sewage sludge (SS), has become a challenge. This article reviews various advantages and challenges associated with the use of sewage sludge-derived biochar (SSDB) and its potential for application in environmental improvement toward the attainment of circular economy. SS is a semi-solid mixture of various components, including potentially toxic elements (PTEs), generated as a by-product from wastewater treatment plants. The economic feasibility associated with SS management is a primary challenge for wastewater treatment plants. The utilization of bio-waste after conversion into biochar is gaining impetus considering its application potential in various fields. Biochar is rich in organic matter and nutrients. Its highly porous structure makes it an attractive alternative to traditional waste management methods. The properties of biochar, especially sludge-derived biochar, are greatly affected by various factors such as residence time, moisture content, pyrolysis temperature, heating rate, etc. This paper reviews recent emerging fields of application for SSDB, including water and wastewater treatment, soil amelioration, air pollution control, and carbon sequestration. The barriers of sludge-derived biochar application and possible strategies to overcome them have also been presented. This review article will promote further research, facilitate the advancement required for the sustainable management of SS and promote the circular economy
Pulses Value Chain Development for Achieving Food and Nutrition Security in South Asia: Current Status and Future Prospects
No full textPulses are important crops in the cropping systems of several developing countries in
Asia, Africa, and Latin America. In South Asia, pulses account for 15% of the cropped
area and are grown mainly on less fertile and marginal lands as intercrops with
cereals and oilseeds. Besides being environmentally friendly (by fixing soil nitrogen),
pulses contribute towards food security, and more importantly nutrition security,
particularly for low-income consumers. South Asia accounts for 24% of global pulse
production with India accounting for 90% of the production. However, since the
seventies per capita pulse consumption has been declining in South Asia, although
since 2008 it started trending up at a slow pace. To meet the growing deficit of pulses
its global trade increased rapidly from 7.2 million tonnes in 2000 to 17 million tonnes
in 2016. To meet the export demand, pulse production diversified, with developed
countries emerging as the main exporters while developing countries were the main
importers. The exceptions were South Eastern Asia (Myanmar) and Eastern Africa,
which also emerged as important exporters. South Asia accounted for 49% of global
pulse imports in 2016 with India accounting for two thirds of the imports to the region.
Severe crisis of pulses in the recent past led to the path-breaking policy interventions in
South Asia, especially in India viz., increasing availability of quality seeds,
enhancement in minimum support price (MSP), assured procurement by government
agencies and maintenance of buffer stock of pulses. These interventions attracted
farmers towards growing pulses and played a key role in increasing the pulses
production. In general, Chickpea, Pigeonpea, Green gram (mungbean) Black gram
(urdbean), Lentil, Grass pea, and Soybean fall under the pulses group in South Asia.
Due to the gap between supply and demand for pulses conumption, the price of pulses
increased sharply over the years leading to import of pulses to fulfill the local
requirement. A higher consumer demand was observed for the imported products
mainly due to the quality and low price. Though pulses are low input crops, cost of
production and gross return of pulses have shown an increasing trend over the past.
The importance of mechanization in pulse crops is highly emphasized to reduce the cost
of production. Productivity constraints of insect pests and diseases in the field and
storage conditions are perceived as being very important. Most of the South Asian
2
countries are placing high priority on modernization of agricultural practices,
improvement of productivity and competitiveness in marketing in domestic and
international markets while enhancing the value addition and product diversification to
generate new income and viable employment opportunities
- …
