Abstract: A system and method for identification of a landing site for aerial vehicles are provided. In one embodiment, the method includes processing image data pertaining to a potential site area. The method further includes identifying existing building infrastructure and defining boundaries of the identified existing building infrastructure in the potential site area, based on the processed image data. The method also includes identifying existing road infrastructure adjacent to the boundaries of the identified existing building infrastructure and defining boundaries of the identified existing road infrastructure, based on the processed image data. The method further includes calculating a feasibility score of the existing building infrastructure by analyzing the identified existing building infrastructure and the identified existing road infrastructure.

Abstract: A system and method for identification of a landing site for aerial vehicles are provided. In one embodiment, the method includes processing image data pertaining to a potential site area. The method further includes identifying existing building infrastructure and defining boundaries of the identified existing building infrastructure in the potential site area, based on the processed image data. The method also includes identifying existing road infrastructure adjacent to the boundaries of the identified existing building infrastructure and defining boundaries of the identified existing road infrastructure, based on the processed image data. The method further includes calculating a feasibility score of the existing building infrastructure by analyzing the identified existing building infrastructure and the identified existing road infrastructure.

Abstract: Methods and systems are disclosed for providing recommendation of a query processing engine from multiple query processing engines. The method includes receiving queries by a query receiving unit, extraction of features of the query by a feature extractor, checking for a similar query in a knowledge base by an evaluator, executing the query on multiple query processing engines by a scheduler, and collecting execution statistics for each query processing engine if the similar query is not found in the knowledge base or fetching the suitable query processing engine from the knowledge base if the similar query is found in the knowledge base and executing the query on that query processing engine. The method also includes providing the recommendation of a single query processing engine from multiple query processing engines by the evaluator based on a recommendation value calculated for every query processing engine.

Abstract: Methods and systems are disclosed for providing recommendation of a query processing engine from multiple query processing engines. The method includes receiving queries by a query receiving unit, extraction of features of the query by a feature extractor, checking for a similar query in a knowledge base by an evaluator, executing the query on multiple query processing engines by a scheduler, and collecting execution statistics for each query processing engine if the similar query is not found in the knowledge base or fetching the suitable query processing engine from the knowledge base if the similar query is found in the knowledge base and executing the query on that query processing engine. The method also includes providing the recommendation of a single query processing engine from multiple query processing engines by the evaluator based on a recommendation value calculated for every query processing engine.