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Advances in location-based services (LBS) demand high-throughput processing of both static and streaming data. Recently, many systems have been introduced to support distributed main-memory processing to maximize the query throughput. However, these systems are not optimized for spatial data processing. In this demonstration, we showcase Cruncher, a distributed main-memory spatial data warehouse and...
Mars demonstration exploits the microblogs location information to support a wide variety of important spatio-temporal queries on microblogs. Supported queries include range, nearest-neighbor, and aggregate queries. Mars works under a challenging environment where streams of microblogs are arriving with high arrival rates. Mars distinguishes itself with three novel contributions: (1) Efficient in-memory...
The recent interest in wireless sensor networks has led to a number of routing schemes that aim at utilizing the limited resources available at sensor nodes more efficiently. This paper proposes and evaluates ‘Range Switching’, a routing scheme that aims at increasing the energy utilization of routing protocols. Range switching is applicable to any routing protocol. In this paper, we apply Range Switching...
Detecting drawn objects on reflective surfaces is a challenging process due to severe reflectivity of illumination even with the utilization of inclined light sources. Lens distortion, which is a common problem, could jeopardize the accuracy of metrics needed during assessment of ceramic plates to classify its quality. This paper proposes a complete mechatronic vision system covering all aspects of...
The continuous growth of social web applications along with the development of sensor capabilities in electronic devices is creating countless opportunities to analyze the enormous amounts of data that is continuously steaming from these applications and devices. To process large scale data on large scale computing clusters, MapReduce has been introduced as a framework for parallel computing. However,...
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