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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)
Planning a trip needs to consider many unpredictable factors along the route such as traffic, weather, accidents, etc. People are interested viewing the places they plan to visit and the routes they plan to take. This paper presents a system with an Android mobile application that allows users to: (i) Watch the live feeds (videos or snapshots) from more(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)
BACKGROUND Both human embryonic stem cell-derived cardiomyocytes (ESC-CMs) and human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) can serve as unlimited cell sources for cardiac regenerative therapy. However, the functional equivalency between human ESC-CMs and iPSC-CMs for cardiac regenerative therapy has not been demonstrated. Here we(More)
Carbon nanotubes (CNTs) are of great interest for many potential applications because of their extraordinary electronic, mechanical and structural properties. However, issues of chaotic staking, high cost and high energy dissipation in the synthesis of CNTs remain to be resolved. Here we develop a facile, general and high-yield strategy for the oriented(More)
In the present study, heavy oil viscosity reduction in Daqing oil field was investigated by using an ultrasonic static mixer. The influence of the ultrasonic power on the viscosity reduction rate was investigated and the optimal technological conditions were determined for the ultrasonic treatment. The mechanism for ultrasonic viscosity reduction was(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)