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Thousands of cameras are connected to the Internet providing streaming data (videos or periodic images). The images contain information that can be used to determine the scene contents such as traffic, weather, and the environment. Analyzing the data from these cameras presents many challenges, such as (i) retrieving data from geographically distributed and(More)
Distributed network cameras are gaining popularity in scientific research because they can be used to monitor natural and human phenomena on a very large scale. However, there's no easy way to gather and process data from a large number of distributed cameras. This article proposes a system that uses cloud instances to gather and analyze data from a large(More)
The visual data generated by network cameras can be valuable for a wide range of scientific studies such as weather, wildlife, and traffic. The resource demands for analysis of the data may fluctuate significantly for some of these studies (for example, seasonal or during only rush hours). Cloud computing's pay-per-use can be a preferred solution for(More)
This paper presents novel mathematical models to decide similarity functions for experience-based and dynamic experience-based fuzzy classification. By extending crisp partition to fuzzy partition and introducing statistical approach, we firstly establish models for experience-based fuzzy classification. Based on these models, we propose a new mathematical(More)
Office machines (such as printers, scanners, facsimile machines, and copiers) can consume significant amounts of power. Most office machines have sleep modes to save power. Power management of these machines is usually timeout-based: a machine sleeps after being idle long enough. Setting the time-out duration can be difficult: if it is too long, the machine(More)
A combined control scheme is proposed in this paper for linear discrete-time systems. It takes account of not only dynamic performance on the sliding mode but also the dynamic performance in the reaching phase. The whole phase is divided into two big regions: the reaching region and a small selected boundary layer related with original sampling interval. In(More)
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