Don Bosco Institute of Technology

Bangalore, India

Don Bosco Institute of Technology

Bangalore, India
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Shahriar Sazzad T.M.,Edith Cowan University | Armstrong L.J.,Edith Cowan University | Tripathy A.K.,Edith Cowan University | Tripathy A.K.,Don Bosco Institute of Technology
Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry - 11th International Conference, MDA 2016, Proceedings | Year: 2016

Pathology experts use microscopic biopsy slides for routine examination of different tissues especially ovarian tissues. Substantial amount of processing time is required for this type of manual identification process. Ultrasound is considered as most popular electronic scanning modalities for cancer tissue analysis rather than ovarian tissue analysis. For smaller tissue analysis a more suitable option is to use a computer based approach as it can reduce processing time and effort while increasing the accuracy rate. In this paper a complete review and analysis has been carried out on existing available approaches and a new modified approach has been presented. Comparative results indicate an acceptable accuracy and identification rate.

Khayyat S.,King AbdulazizUniversity | Selvin R.,Don Bosco Institute of Technology
Science of Advanced Materials | Year: 2017

The isomerization of citronellal to isopulegol is an important step in the synthesis of menthol. Several solid acid catalysts were evaluated for this reaction. However, to maintain economic viability, a suitable heterogeneous system which exhibit better activity and selectivity comparable or superior to the existing catalytic methods is needed. Among solid acids, larger pore zeolites have been found to exhibit superior property for isomerization of citronellal to isopulegol. However, the active sites inside the ZSM-5 micropores imposes severe mass transfer constrains. Hierarchical porous zeolite contains micro, meso and macro pores in the same material to overcome the mass transfer constrains. The present paper is aimed at an investigation of the catalytic activity of hierarchical porous nanocrystalline ZSM-5 towards the isomerization of citronellal to isopulegol. The catalyst was characterized by DLS, XRD, FT-IR, SEM, and ASAP analyses. The effects of various parameters such as, catalyst weight, reaction temperature, citronellal concentration and reusability of catalyst were studied. The results show that the hierarchical porous nanocrystalline ZSM-5 catalysts are highly efficient, selective, reusable and environmentally benign system for the isomerization of citronellal to isopulegol. © 2017 by American Scientific Publishers All rights reserved.

Setty S.,Don Bosco Institute of Technology | Srinath N.K.,Rashtreeya Vidyalaya College of Engineering | Hanumantharaju M.C.,Dayananda Sagar College of Engineering
International Journal of Imaging and Robotics | Year: 2014

This paper presents a new approach for contrast enhancement of spinal cord medical images based on Multirate scheme incorporated into the multiscale retinex algorithm. The proposed work here uses HSV color space, since HSV color space separates color details from intensity. The enhancement of medical image is achieved by downsampling the original image into five versions, namely, tiny, small, medium, fine, and normal scale. This is due to the fact that the each version of the image when independently enhanced and reconstructed results in an enormous improvement in the visual quality. Further, the contrast stretch and MultiScale Retinex (MSR) techniques are exploited in order to enhance each of the scaled versions of the image. Finally, the enhanced image is obtained by combining each of these scales in an efficient way to obtain the composite enhanced image. The efficiency of the proposed algorithm is validated by using wavelet energy metric in the wavelet domain. Reconstructed image using proposed method highlights the details (edges and tissues), reduces image noise (Gaussian and Speckle) and improves the overall contrast. The proposed algorithm also enhances sharp edges of the tissue surrounding the spinal cord regions which is useful for diagnosis of spinal cord lesions. Elaborated experiments are conducted on several medical images and results presented show that the enhanced medical pictures are of good quality and is found to be better compared with other researcher methods. © 2014 by IJIR.

Lamgunde A.,Don Bosco Institute of Technology
Communications in Computer and Information Science | Year: 2011

Today worldwide, security and data hiding concerns are increasing day by day. Various security devices, systems and algorithms are used at places for the same. Most of these systems are implemented at places like airports, military areas, private or government offices. Steganography means covered or hidden writing. The objective of steganography is to send message through some innocuous carrier. The message to be sent could be a text, an image or an audio file. Steganography techniques prevent the fact that a secret message is being sent at all. Steganographic security is mostly influenced by the type of cover media; the method for selection of places within the cover that might be modified; the type of embedding operation; and the number of embedding changes that is a quantity closely related to the length of the embedded data. Given two embedding schemes that share the first three attributes, the scheme that introduces fewer embedding changes will be less detectable. © 2011 Springer-Verlag Berlin Heidelberg.

Krishnan S.,Don Bosco Institute of Technology | Harmalkar V.V.,Don Bosco Institute of Technology
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

The aim of the Project management System is to develop a web portal to automate the work of the three entities in the system - the Project Coordinator, Project Guide and Project Group. A Web portal is designed to make the entry of various activities easier for the users. The project coordinator's task is to lead, direct and communicate with the other entities. The activities will be carried forward in a sequence throughout the term, starting from requesting of project proposals to the report generation that needs to be submitted to the university. © 2016 IEEE.

Carvalho F.,Don Bosco Institute of Technology | Kotrashetti A.,Don Bosco Institute of Technology
Proceedings - IEEE 8th International Conference on Technology for Education, T4E 2016 | Year: 2016

This paper contains a detailed planning proposed by the authors to plan a basic microwave engineering course at undergraduate level. The course outcomes for an academic year have been set using curriculum guidelines of prescribed university and subsequently been revised in the forthcoming year. It highlights the structuring of course outcomes to gradually address higher order cognitive domains. The framework of graduate attributes and Bloom's taxonomy have been utilised to plan this course. © 2016 IEEE.

Deshmukh J.S.,Pacific University at Udaipur | Tripathy A.K.,Don Bosco Institute of Technology
2017 International Conference on Nascent Technologies in Engineering, ICNTE 2017 - Proceedings | Year: 2017

The rapid growth of Internet technologies has resulted in an increase in online user's content creation. User generated information, usually represents the people's opinions, thoughts, reviews and sentiments. Automatic sensing and analysis of opinions about products, brands, political publications, etc. is a challenging job. Opinions are expressed in different ways in different domains. Constructing and labeling corpus for every domain is a pricey thing. Words from source and target domains are not always similar; hence classifier trained with one domain to another domain leads into poor performance. Therefore the need of domain adaptation algorithms arises to diminish domain's reliance and tagging costs. Using adapted maximum entropy with bipartite clustering in the proposed work, opinionated words are classified in two categories as positive and negative. Results demonstrated that proposed approach performs fairly well compared to baseline method. © 2017 IEEE.

Padalkar P.,Don Bosco Institute of Technology
Proceedings - International Conference on Technologies for Sustainable Development, ICTSD 2015 | Year: 2015

It is necessary to sensitize the students of the professional course like engineering to the enviromental issues as well as to equip them with an ability to analyze and develope a sustinable solution to those problems. These skills are popularly know as the green skills. This paper presents analysis of the releation between the subject and the level of integration of the enviromental issues to the domain of study. The integaration would not only enable students to better understand and relate to environmnetal problem, but also prepare them to develop solution for the problems. We look at the current scenario of University of Mumbai syllabus for Department of Information Technology. The levels at which the assessment questions are set plays and important role in not only developing the understanding of the subject, but also in creating an image about its importance in the student's mind. We analyze the set of question papers from the subject of Environmnetal Studies according to the Bloom's Taxonomy. © 2015 IEEE.

Sarangi R.K.,Don Bosco Institute of Technology | Rane M.V.,Indian Institute of Technology Bombay
Procedia Engineering | Year: 2013

Startup heat load, maximum heat load and optimum fill ratio of Pulsating Heat Pipe (PHP) of 16 turn, 1 mm ID, 2 mm OD and 9.6 m total length are found out experimentally for water and ethanol as working fluids. PHP is operated in vertical bottom heat mode. Evaporator and condenser temperatures are maintained at 100°C and 28°C respectively. Temperature fluctuations of adiabatic section at startup and maximum heat loads are reported. Experimental results indicate that, startup heat load is independent of fill ratio, but maximum heat load depends on fill ratio. Optimum fill ratio for maximum heat load depends on working fluid for a given PHP and operating temperatures. © 2012 Published by Elsevier Ltd.

Isola R.,Don Bosco Institute of Technology | Carvalho R.,Indian Institute of Technology Bombay | Tripathy A.K.,Don Bosco Institute of Technology
IEEE Transactions on Information Technology in Biomedicine | Year: 2012

Medical data are an ever-growing source of information generated from the hospitals in the form of patient records. When mined properly, the information hidden in these records is a huge resource bank for medical research. As of now, these data are mostly used only for clinical work. These data often contain hidden patterns and relationships, which can lead to better diagnosis, better medicines, better treatment, and overall, a platform to better understand the mechanisms governing almost all aspects of the medical domain. Unfortunately, discovery of these hidden patterns and relationships often goes unexploited. However, there is on-going research in medical diagnosis which can predict the diseases of the heart, lungs, and various tumours based on the past data collected from the patients. They are mostly limited to domain-specific systems that predict diseases restricted to their area of operation like heart, brain, and various other domains. These are not applicable to the whole medical dataset. The system proposed in this paper uses this vast storage of information so that diagnosis based on these historical data can be made. It focuses on computing the probability of occurrence of a particular ailment from the medical data by mining it using a unique algorithm which increases accuracy of such diagnosis by combining the key points of neural networks, Large Memory Storage, and Retrieval, k-NN, and differential diagnosis all integrated into one single algorithm. The system uses a service-oriented architecture wherein the system components of diagnosis, information portal, and other miscellaneous services are provided. This algorithm can be used in solving a few common problems that are encountered in automated diagnosis these days, which include diagnosis of multiple diseases showing similar symptoms, diagnosis of a person suffering from multiple diseases, receiving faster and more accurate second opinion, and faster identification of trends present in the medical records. © 1997-2012 IEEE.

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