K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
In this paper, the application of individual scenario-based traffic models in identifying the traffic carrying needs of networks in patient monitoring environments is presented. S...
Aftab Ahmad, Anton Riedl, W. Jason Naramore, Nee-Y...
In this paper, a digital image watermarking technique based on Discrete Wavelet Transform (DWT) will be proposed. This scheme is designed utilizing principles deriving from the hu...
— To obtain the full color image, at least three channels are required at each color location, however the image sensor obtains only the intensity of the brightness and cannot se...
Knowledge management (KM) is the research field aimed to create, organize, and store explicit knowledge for easy access and manipulation, whereas e-learning is concerned with del...
The tendency for Non-Functional Requirements (NFRs) to have a wide-ranging impact on a software system, and the strong interdependencies and tradeoffs that exist between NFRs and ...
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
—For improving the efficiency of human 3D tracking, we present an algorithm to track 3D Arm Motion. First, the Hierarchy Limb Model (HLM) is proposed based on the human 3D skelet...
In this paper, we propose a method for smoke detection in outdoor video sequences. We assume that the camera is mounted on a pan/tilt device. The proposed method is composed of th...
In this paper, we describe a system for correcting English preposition errors automatically. Non-native English writers often make these errors. Our system uses rules extracted au...