Internet Data Center IP Identification and Connection Relationship Analysis Based on Traffic Connection Behavior Analysis

Zhai, Xuemeng; Wang, Mingda; Hu, Hai‐Jie; Hu, Guangmin

doi:10.1587/transcom.2016ebp3273

Cited by 1 publication

(1 citation statement)

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“…Professional division of labor has become the operational model of modern public institutions. The escrow agency only needs to place the services or archives to be shared in the Internet data center (IDC) [32,33,34]. Without the limitations of bandwidth due to passing through the switch, it can directly transmit various services to the demand agencies so that the service quality can be further improved.…”

Section: Methodsmentioning

confidence: 99%

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

Chen

Lin

Kan

2019

Sensors

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From the accident news, it is found that the occurrences of traffic accidents every year and the numbers of deaths and injuries have raised continually and have become a specific issue concerned in society in Taiwan. More seriously, the number of traffic accidents is positively increased with the increasing motorized vehicles. Thus, to reduce the incidence of traffic accidents through by some advanced real-time technologies is an important and interesting work. However, some serious problems against traffic safety are facing, such as the low-quality video saved by a camera, low efficiency facilities supported, inefficient management of surveillance resources, and low definition resolution for cameras, which is resulted in a dilemma problem caused from providing evidence-based images to a local authority either for criteria for judgment or basis for improvement. As a big effort to deal with the above defects for constructing a smart city, this paper makes a main purpose to develop an advanced system of intelligent cloud-based transportation vehicle surveillance (called ICTVSS) for license plate identification. This existing identification algorithm was studied and developed from a combination of improved differential algorithm and improved active contour algorithm. Given such a combination, a novel algorithm of dynamic license identification for smart monitoring was fully realized for constructing a well-defined smart city. The experimental results showed good performance and experienced that the proposed algorithm performed well in locating multi-license plate and differential methods, removing image noise of license plate, and processing constant-inconstant light source from complex environment cases, and guaranteed effective license plate identification from the benefit of high resolutions of digital cameras.

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Section: Methodsmentioning

confidence: 99%