GPS trajectory data in intersections are series with different lengths. Dynamic time wrapping (DTW) is good to measure the similarity between lengths, however, traditional DTW could not deal inclusive relationship well series. We propose a unified generalized algorithm (GDTW) by extending boundary constraint and continuity of using weighted local distance normalize cumulative distance. Based on...

In this study, a two-step principal component analysis (TS-PCA) is proposed to handle the dynamic characteristics of chemical industrial processes in both steady state and unsteady state. Differently from the traditional dynamic PCA (DPCA) dealing with the static cross-correlation structure and dynamic auto-correlation structure in process data simultaneously, TS-PCA handles them in two steps: ...

Due to their wide coverage, low acquisition cost and large data quantity, the mobile phone signaling are suitable for fine-grained large-scale estimation of traffic conditions. However, relatively high level noise makes it difficult achieve sufficient accuracy. According characteristics noise, this paper proposed an improved density peak clustering algorithm (DPCA) filter noise. In addition, on...

To realize ground moving target indication (GMTI) for a forward-looking array, we propose a novel synthetic aperture radar (SAR) system, called rotatable cross-track interferometry SAR (Ro-XTI-SAR), for squint-looking application in this paper. By changing the angle of the cross-track baseline, the interferometry phase component of squint-looking Ro-XTI-SAR caused by the terrain height can be a...

In spaceborne synthetic aperture radar (SAR) sensors, it is a challenging task to detect ground slow-moving targets against strong clutter background with limited spatial channels and restricted pulse repetition frequency (PRF). In this paper, we evaluate the image-based dual-channel SAR-ground moving target indication (SAR-GMTI) workflow for the Gaofen-3 SAR sensor and analyze the impact of st...

Wireless sensor networks (WSNs) are highly sensible to data integrity attacks, which have an important impact on a number of relevant deployments and services. This paper introduces a tolerance approach to fight against data modification attacks in WSNs, which is based on a missing data imputation scheme. The proposal relies on two principal contributions: (1) a multivariate statistical techniq...