The efficient data access of streaming vehicle data is the foundation of analyzing, using and mining vehicle data in smart cities, which is an approach to understand traffic environments. However, the number of vehicles in urban cities has grown rapidly, reaching hundreds of thousands in number. Accessing the mass streaming data of vehicles is hard and takes a long time due to limited computati...

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

This paper proposes a fuzzy logic control based dynamic channel allocation (DCA) to ECMA-368 based WiMedia UWB networks, which aims to support mixed high-quality video traffic and shipboard control data traffic with high reliability and priority as well. The DCA method applied in this paper is to flexibly vary the portions of time slots of either the prioritized contention access (PCA) or the d...

Content Aware Networking (CAN) can enhance the distribution of media through awareness in the network of the content it is carrying. In this way functions such as content adaptation, content routing and resource allocation can be improved. Our current research investigates ‘in-network’ content adaptation of scalable video coded streams (SVC) via a media-aware network element or MANE. We propose...

This paper reviews applications of fuzzy logic to ECMA-368 based WiMedia UWB networks and proposes a fuzzy logic control scheme for dynamic channel allocation with combined prioritized contention access (PCA) and distributed reservation protocol (DRP). Such WiMedia UWB network is applicable to a wireless ship area pico-network for supporting both high-quality multimedia services on shipboard an...

Data streaming over Delay-Tolerant Networks (DTN) is a challenging task considering jointly the specific characterisics of DTN environments, the demanding nature of streaming applications and their wide applicability. Presently, there are not any advanced mechanisms available to support this functionality and typical configurations fail to efficiently transfer data streams. In this paper, we pr...

Database and data structure research can improve machine learning performance in many ways. One way is to design better algorithms on structures. This paper combines the use of incremental computation as well sequential probabilistic filtering enable “forgetful” tree-based cope with streaming that suffers from concept drift. (Concept drift occurs when functional mapping input classification cha...