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Remilla M.,Satellite Center | Kishore J.K.,Satellite Center | Vijaya Kumar L.J.,Master Control Facility | Kesava Rao P.,IARE
Proceedings of the International Astronautical Congress, IAC | Year: 2016

Growth of World Trade has led to an increase in oil exploration, maritime transport of oil products and cargo which increases the probability of oils spills. An oil spill is an unwanted release of oil into ocean including accidents involving oil tankers or offshore platforms or oil pipelines. The advances in Space borne Remote Sensing and GIS along with communication systems have been helping the planners for oil spill monitoring aiding the blue economy. Some Regional systems / agencies in this arena are PROMED in Mediterranean seas, INSTOP in Canada, European Maritime Space Agency in Europe, ScanEx RDC for North Caspian Sea etc., providing near real time alerts to identify / locate the polluting vessels and initiate remedial actions. The increased maritime traffic has turned into a global economic and ecological concern. This calls for a global monitoring system. One of the proven paths in such requirements is to integrate all the existing systems along with developing regional / nodal systems for the less focused areas to provide seamless services. For India with a long coastline of 7500 Kms along and major oil installations along the coast line and growing maritime trade across major and minor ports; oil spill management is a major national requirement of the day. While Polarimetric SAR improved the oil spill monitoring to some extent, the availability of Hybrid Polarimetric SAR from India's Microwave SAR (RISAT-1) and Ocean Color Monitor (OCM) from Oceansat-2 from ISRO/India has expanded the scope for improving the efficiency of oil spill monitoring. In addition, India has proven experience in operational services through ISRO's "Bhuvan / NICES" GeoPortals and a dedicated centre for oceanic studies. Utilizing these strengths will help in augmenting operational services for Indian Maritime Zone along with scope for serving other regions of the world. Once such regional systems are operationalized, a global system can be configured on the lines of the International Charter for Disaster Management utilizing the strengths of the stake holders. Complimentary services like fusion of Optical and SAR data along with ground data can be employed to meet the near real time requirements to deliver 'right information' to the 'right people' in 'right time'. The paper will discuss the augmentation of the system for Indian Maritime Zone and will propose a Techno-Managerial Framework for the global scale operations which will pay rich dividends not only in economic saving but saving the mother planet.


Ravisekhar S.,GRIET | Govardhan D.,IARE
Materials Today: Proceedings | Year: 2017

Friction surfacing is one of the advanced techniques in the family of friction welding processes and is used for deposition of desired material on substrate of interest. No external heat source is required and heat is developed by friction. Friction surfacing is having several advantages over conventional fusion welding processes.These deposits are of solid phase bonding, which is proposed as one of the surface modification method to produce coatings with wear and corrosion resistance deposits and used in the field of repair and reclamation of worn and damaged components. © 2017 Elsevier Ltd. All rights reserved.


Kanumuri L.,GRIET | Pushpalatha D.V.,GRIET | Naidu A.S.K.,IARE | Kumar Singh S.,GRIET
Materials Today: Proceedings | Year: 2017

In the present work, genetic algorithm is implemented, to optimize the artificial neural networks used, to predict the mechanical properties of Austenitic Stainless Steel 304 (ASS-304) at elevated temperatures. ASS-304 is a very important alloy used in various applications involving high temperatures which make it very important to study the mechanical properties at elevated temperatures. The dynamic neural networks have been employed first for predicting the mechanical properties such as Ultimate Tensile Strength (UTS), Yield Strength (Ys),% elongation, Strain Hardening Exponent (n) and Strength Coefficient (K) at elevated temperatures. Genetic algorithm was then integrated with the neural network model for optimization, to achieve better regression statistics, taking the mean square error as the fitness function. The results show that the proposed hybrid, neural network - genetic model is more accurate and effective method for predicting the mechanical properties of ASS-304 at elevated temperatures. © 2017 Published by Elsevier Ltd.


Santhisree N.,IARE | Prashanthkumar M.,IARE | Priyanka G.,IARE
International Journal of Mechanical Engineering and Technology | Year: 2017

Heat exchangers are devices that facilitate the heat exchange between two fluids that are at different temperatures while keeping them from mixing with each other. They differ from mixing chambers in that they do not allow the two fluids involved to mix. The most common type that is used in industrial applications is shell and tube heat exchanger. It contain a more number of tubes packed in a shell with their axes parallel to that of the shell. One fluid of it flows through the tube and the other fluid flows outside the tube through the shell and causes exchange of heat between the fluids. To enhance heat transfer and to maintain uniform spacing between the tubes baffles are placed in the shell to force the fluid to flow across the shell. In this present study thermal analysis is carried out in Ansys fluent 15.0.The heat exchanger is designed using CATIA V5. © 2017 IAEME.


Shiva Prasad U.,IARE | Ramamohan Pai B.,MIT MU | Pai Y.,MIT MU | Govardhan D.,IARE | Praveen B.,MLR Institute of Technology
International Journal of Mechanical and Production Engineering Research and Development | Year: 2017

To aid in understanding the concepts of aerodynamics, wind tunnels are used. The aim of this paper is to design and analyze a two throat supersonic wind tunnel to give a better start-up condition at supersonic speeds. As the tunnel design involves high complexity, it is generally convenient to divide into segments. Initially, nozzle segment is developed using the method of characteristics (MOC) because, a careful designed nozzle is vital for tunnel function. In the next step, a settling chamber is introduced at the nozzle exit to straighten the flow, just before it enters the test section and the diffuser is designed to reduce the losses related to shocks attached. As we know that second throat at the diffuser section plays an important role in starting of a supersonic tunnel, so the area of the second throat is increased. In next phase, all segments are integrated and analyzed using the commercial code. Numerical analysis carried out reveals that the acceptable numerical accuracy is achieved with practice levels of grid resolution (300 x 30,) with the assumption that in absence of separation, low turbulence intensifies due to the effect of large acceleration along the downstream of the tunnel. The flow solutions give a better insight of understanding the flows, to investigate the effect of numerical code and grid independence. From this work, the necessity of grid dependence study and to the quantification of numerical error has been addressed by representing the computational results in complicated airways. © TJPRC Pvt. Ltd.


Govardhan D.,IARE | Sammaiah K.,IARE | Murti K.G.K.,IARE | Madhusudhan Reddy G.,Defence Metallurgical Research Laboratories
Materials Today: Proceedings | Year: 2015

Friction surfacing is one of the advanced techniques in the family of friction welding processes and is used for deposition of desired material on substrate of interest. These deposits are of solid phase bonding. No external heat source is required and heat is developed by friction. It is suitable for critical applications such as wear resistance, corrosion resistance and also for challenging dissimilar applications. In this work, friction surfacing was carried out by using Stainless steel as mechatrode and Low carbon steel as substrate. This paper is an attempt to give review details of the variants of friction surfacing techniques, bonding mechanism, factors selection of process parameters to apply on different combinations of materials and confirming the same with experimental test results. Effect of process parameters on the responses like width, height, surface roughness, tensile strength shear strength and ratio of tensile strength and shear strength are discussed in details. Testing of deposits for quality evaluation also carried out such as visual inspection, adhesion test, and microstructure and hardness distribution to find potential industrial applications. For the particular combination, the influence of the factors which are effecting above responses was discussed and regression equations were arrived at based on the design of the experiments approach. It is hoped that this research report will be of immense useful for all professional who would like to exploit this process development and identifying the useful applications. © 2015 Elsevier Ltd.


Mahesh S.,Target Corporation India | Mahesh T.R.,SBMJCE | Vinayababu M.,IARE
Journal of Theoretical and Applied Information Technology | Year: 2010

An innovative knowledge-based methodology for terrorist detection by using Web traffic content as the audit information is presented. The proposed methodology learns the typical behavior of terrorists by applying a data mining algorithm to the textual content of terror-related Web sites. The resulting profile is used by the system to perform real-time detection of users suspected of being engaged in terrorist activities. The Receiver-Operator Characteristic (ROC) analysis shows that this methodology can outperform a command based intrusion detection system. © 2005-2010 JATIT. All rights reserved.


Mahesh T.R.,SBMJCE | Prabhanjan S.,SBMJCE | Vinayababu M.,IARE
Journal of Theoretical and Applied Information Technology | Year: 2010

The existing system available for fuzzy filters for noise reduction deals with fat-tailed noise like impulse noise and median filter. Only impulse noise reduction uses fuzzy filters. Gaussian noise is not specially concentrated; it does not distinguish local variation due to noise and due to image structure. The proposed system presents a new technique for filtering narrow-tailed and medium narrow-tailed noise by a fuzzy filter. The system first estimates a "fuzzy derivative" in order to be less sensitive to local variations due to image structures such as edges. Second, the membership functions are adapted accordingly to the noise level to perform "fuzzy smoothing." A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform fuzzy smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules which make use of membership functions. The filter can be applied iteratively and effectively reduce heavy noise. In particular, the shape of the membership functions is adapted according to the remaining noise level after each iteration, making use of the distribution of the homogeneity in the image. A statistical model for the noise distribution can be incorporated to relate the homogeneity to the adaptation scheme of the membership functions. Experimental results are obtained to show the feasibility of the proposed approach. These results are also compared to other filters by numerical measures and visual inspection. © 2005-2010 JATIT. All rights reserved.


Jyothi B.,JNTUH College of Engineering | Madhavee Latha Y.,JNTUH College of Engineering | Krishna Mohan P.G.,IARE
Advances in Intelligent Systems and Computing | Year: 2016

The advancement in medical technology has resulted in a huge number of medical images saved in a data-base. Content Based Medical Image Retrieval (CBMIR) mechanisms help the radiologist in retrieving the required medical images from an immense database. This paper envisages an effective content based procedure in which the region of the image is taken into account by determining the borders of the image region using gray level gradient method instead of considering the image as a whole. Later, the content within the boundary region of the image is described through the steerable filter in different orientations followed by extracting the second-order statistical components as feature vectors. Medical images correlated to the query image are retrieved by computing the Euclidean distance as a similarity measure between database images and the query image. To enhance the accuracy of the medical retrieval system, Instant Based Relevance Feedback has been used. In this procedure, the user interacts with the system and selects the most relevant image for searching again. The above search procedure is repeated for finding out more precise images by sorting out the first search and the second search similarity distances. Eventually, the corresponding top ranked images are displayed. These results reveal that the proposed algorithm outperforms by of increasing Recall Rate and reducing Rate of Error. © Springer India 2016.


Srinivasa Vadayar K.,Jawaharlal Nehru Technological University | Satyanarayana D.V.V.,DMRL | Bhanu Prasad V.V.,DMRL | Poshal G.,IARE
Materials at High Temperatures | Year: 2013

TiB-TiC reinforced titanium matrix composites (TMCs) were synthesised through pressureless sintering of titanium and boron carbide (B4C) powder compacts. Effect of boron carbide (B4C) particle size and volume fraction of TiB-TiC reinforcement on steady state compression creep behaviour of composites was investigated in the temperature range of 773-873 K. The creep rates of composites are found to be about two orders of magnitude lower than those of unreinforced titanium. The creep rates further lowered with decrease in size of B4C particles (from 16 to 3 μm) used in preparation of composites as well as with increase in volume fraction of the TiB-TiC reinforcement from 10 to 30 vol.%. By using the concept of effective stress as well as incorporation of load transfer and substructural strengthening effect produced by the reinforcement into analysis, the entire creep data of Ti and the composites can be made to merge on to a single line within a scatter band of factor of 2-3 and can be represented by a unified power-law equation.

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