Pooja Shah

Research oriented foss solution for automatic oil spill detection using risat-1 sar data

Oil spill is a growing threat to marine eco-system, and it continues to grow with the growing marine traffic. Intentional or accidental oil discharges in the ocean are not limited to endangering marine eco-system but also coastal zones where the accumulated oil spill reaches as remains in form of tar. Automation of oil spill detection is challenging from SAR data. It is also surveyed that free and open source software (FOSS) solution for oceanographic applications is rare but essential for the scientists who are working in this area. Proposed FOSS framework also provides flexibility to apply standard data processing algorithms for the SAR data processing. In this paper, proposed FOSS framework to process C band RISAT-1 SAR data is described. This paper also provides the comparative study on shortcomings of the widely accepted tools for oil spill detection. The experimental results of super-pixel based segmentation technique for dark spot detection are described using proposed FOSS framework.

One dimensional ocean waves displacement prediction system expanding mathematical string equation

Oceanography comprises of parameters like wave-height, ocean-pressure, ocean-density, ocean-winds, ocean-depth, surface tension, sea-surface topography, etc. Predictions of upcoming changes are made using these parameters as inputs. Real-time sensors are deployed under the ocean to fetch real time measurements of parameters. Our research describes the work with respect to ocean wave-height parameter to predict a wave displacement. Waves in oceans are continuously moving and thus measuring the accurate movements of waves is complex. Waves get dispersed in the ocean, but their vibrations remain in the ocean. Numerous techniques are available for developing prediction systems, with their own strengths and weaknesses. The paper demonstrates the concepts and experimentation of prediction system developed using string equation to find wave displacement. It focuses on one dimension that is time, hence it is judged as one-dimensional wave displacement prediction system to measure the time taken by a wave to get settled on its surface.

Oil spill detection from SAR image data for remote monitoring of marine pollution using light weight imageJ implementation

Biogenic and Mineral oil spill in the ocean can harm the marine ecosystem significantly. Past research suggests image processing on images generated from Synthetic Aperture Radar (SAR) data are the most suitable way of remote oil spill detection. In this paper, the framework for oil spill detection is explained in three step process for oil spill detection viz., dark spot detection, feature extraction, and classification. The paper focuses on Hysteresis algorithm for segmenting the dark spots and decision tree for the classification of dark spots and look alikes. The major steps in oil spill detection have been implemented in imageJ which gives a light weight solution to existing softwares for the said application.

Enhancing Routing Strategy to Optimize Architecture of Vehicle to Infrastructure Communication

The road side infrastructure plays a vital role for any Vehicular Ad-hoc Network for implementing a rich set of applications like traffic monitoring and management, road disaster mitigation etc. This is the reason that efficient communication between the vehicles and the road side infrastructure is required. The application under consideration is providing a zero traffic lane (Z-Lane) for an ambulance. The scenarios are implemented with the help of Simulation of Urban Mobility (SUMO) which is a road traffic simulator based on Krauss Mobility Model. For the normal working of the said application, road side infrastructure broadcasts alert messages informing the vehicle drivers to vacant the lane. The problem addressed in this research work is the scenario where no infrastructure is present in the range of ambulance. In this case, the trigger from the ambulance must reach the nearest infrastructure as early as possible. For this purpose vehicle to vehicle communication is used. After analyzing various routing algorithms Ad-hoc On Demand Distance Vector (AODV) routing algorithm is chosen for the said communication. The AODV protocol has significant amount of end to end delay. The research work aims to modify AODV to reduce the Route REQuest (RREQ) packet generation. This is done using the geographic position of the neighboring node. The simulation results of the implementation of modified AODV shows that the number of RREQ packets reduces drastically and in turn end-to-end delay also reduces. The network traffic simulation is done with the help of Network Simulator - 2. MObility generator for VEhicular network is used to generate the scenario in SUMO and converting it into NS2 readable form.

Handling Fuzzy SQL on Crisp databases using Lex-YACC

querying language presumes precision and certainty in user queries. But in factual situations the queries may be imprecise and may be desired to result in uncertain outcome. Introducing fuzziness in querying permits the realistic querying on the crisp data. In this paper, we propose the architecture for fuzzy querying along with an experimental implementation of the same. The implementation is using LEX and YACC that facilitate the lexical analysis of fuzzy terms and parsing the fuzzy query respectively. Fuzzy query is interpreted by the parser and the consequent semantic actions are carried out on MySQL database.