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The Smart distribution system initiative requires an increased usage of the distribution feeder-level communication infrastructure to improve automation. Using a distributed sensor network for monitoring the distribution system is proposed by various researchers. Such distributed sensor communication architecture requires information to be received within an allowable delay and a minimum processing...
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitoring of patients with dementia diseases by wearable cameras. We define a structural model of video recordings based on a Hidden Markov Model. New spatio-temporal features, color features and localization features are proposed...
Aiming at monitoring health degradation of analog circuit, the paper proposes a new method about state monitoring and health evaluation. Firstly original voltage features are extracted from analog circuit with some components changing gradually; Then LDA is used to reduce the dimension of the original features to obtain effective features; In the following with the effective features of normal state,...
The crime in the elevator cage is always a constant concern. Thus, security problem should get more attention. This paper proposes an intelligent video analysis technology for elevator cage abnormality detection in computer vision. By collecting, processing, and analyzing video images in real time, the feature vectors including the variation of foreground pixels, the variation of length and width...
In this paper, a novel intrusion detection system based on diversity timing factor, combining the characteristic of dynamic and static adaption, sniffing from multi-stage and analyzing with multi-dimensional hidden Markov model has been proposed. In the proposed mechanism, detection, expert, and console modules are developed. In which, the detection module is deployed with numbers of independent sensors...
This paper presents a method for monitoring activities at a ticket vending machine in a video-surveillance context. Rather than relying on the output of a tracking module, which is prone to errors, the events are directly recognized from image measurements. This especially does not require tracking. A statistical layered approach is proposed, where in the first layer, several sub-events are defined...
Feature extraction is the most important step in effective state monitoring of analog circuit. Due to variety of features, the paper proposes a new approach to monitor state of analog circuit: Firstly, composite features including time-domain features and wavelet features are extracted from the response signal through giving different stimulus to analog circuit; Secondly, HMMs trained by composite...
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