Theses and Dissertations

Permanent URI for this collectionhttp://ir.daiict.ac.in/handle/123456789/1

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Subject: search.filters.subject.Automation

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    Exposure of MR physics throughout automation of test cases
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2020) Vakharia, Hinal; Tiwari, Saurabh
    The project aims at manual testing of requirements and automating it. Requirements are generated based on MR software. MR software is key to Magnetic Resonance Imaging (MRI) scanners, the medical device that make images of the living human body for clinical purposes. Manual testing is done in MR software for that I used VMware workstation pro while automating the test script was done with google test framework (unit testing library for C++ programing language). After automation of test script, I need to upload it on GIT-TFS (team foundation server) for review and then merger that file with the current release of the software. For this project first I required to understand the physics behind MRI machine and how MRI machine works to diagnose a disease or injury by acquiring data/signals from human body. This knowledge helps me to understand the requirements given and based on that automate the test script. During this internship I got a chance to see MRI machine and its different parts under expert’s supervision.
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    ItemOpen Access
    Simple automated story generator
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2016) Khalpada, Purvish; Banerjee, Asim
    As technology advances, the list of things computers can do also increases. The list isreally big and includes diverse things. When we think about the list, storytelling is notsomething; we would be comfortable to have in the list. As we ask �why?� and try to come upwith an answer, we realize that human brain is a really wonderful thing. It can subconsciouslywork so hard and on an abstract level that while writing the stories, we don�t realize that thetask requires so much amount of world knowledge and involves many cognitive processes.The requirement of enormous data and complex processes makes this task difficult forcomputers. Difficult, but not impossible. This dissertation is one of the effort in that directionand the end product is SANDI (acronym for �Simple Automatis� Narrateur Des Intrigue�meaning �Simple Automated Story Generator�).SANDI can generate a story, either completely on its own or based upon the guidelineprovided by the user. For an example, a user may seed information about the charactersArjun and Aarohi and may provide an abstract storyline that Arjun and Aarohi meet andAarohi kill Arjun. Now, SANDI can create a story revolving around this abstract storyline,adding necessary events and twists, introducing new characters, if required. The final storyhas a flow, which is logical, coherent as well as interesting.
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    Traffic profile measurement and traffic driven network reconfiguration
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2011) Monga, Jasneet Kaur; Srivastava, Sanjay
    In multi hop ad hoc network, nodes are constrained by the power or the energy sources that are available. Efficient algorithms for saving the energy are required to manage the network in such a manner that the resources available, get properly utilized and nodes in the network do not drain out. Switching and working over idle and busy periods of a node, one can achieve this dual goal and it comes under the category of sleep scheduling. In this approach, the basic emphasis is on the traffic profiles of the network nodes which is estimated based on the network traffic flows. The traffic estimated becomes the weight of the path between the different source destination pairs available in the network and this value averaged either at the local level or the global level is needed to be reduced, hence saving the overall energy of the network. The traffic weighted paths which consume energy above the average or the threshold value become the prime candidates for the consideration. The aim is to go for shorter and lighter paths in the network which require the sleeping nodes in the proximity of heavy and longer paths to be awaken to be a part of network topology and saving the extra energy wasted on longer paths. This makes the nodes in longer paths go through a sleep state so that they can be utilized when they are required, hence making topology changes by reconfiguring the paths.
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    Vehicle detection and tracking
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2009) Rao, K. Ramprasad; Joshi, Manjunath V.
    Real time trafficc monitoring is one of the most challenging problems in machine vision. This is one of the most sorted out research topic because of the wide spec-trum of promising applications in many areas such as smart surveillance, military applications, etc. We present a method of extracting moving targets from a real-time video stream. This approach detects and classifies vehicles in image sequences of trafficc scenes recorded by a stationary camera. Our method aims at segregating cars from non-cars and to track them through the video sequence. A classication criteria based on the features is applied to these targets to classify them into categories: cars and non-cars. Each vehicle can be described by its features. The template region is estimated by means of minimum distance approach with respect to centroid of the obtained blob of the target. Extraction of features from each frame ensures eefficiency of the tracking system.