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The microseismic (MS) monitoring in the coal mining provides a powerful method to identify the coal mine geological hazards as well as to prevent against the illegal mining. The challenge of MS monitoring is to extract characteristics of interest from the collected raw MS signals and locate the MS events using effective algorithms. In order to improve the localization accuracy of microseismic sources,...
Microseismic monitoring technology has broad application prospects in large-scale civil engineering safety monitoring fields, such as tunnels. However, due to the lack of a perfect localization method, the microseismic monitoring system has the large localization error at present. To solve this problem, firstly, we preprocess the chaotic microseismic signal, using power spectrum analysis method to...
The ability to continuously detect the interesting subgraph patterns over dynamic graph-structured data in real time is crucial to many applications. Generally, the edges of such subgraphs have temporal relation. In this paper, the stream model is used to describe the dynamic graph, in which the edges are processed in chronological order. In order to reduce the intermediate results, we propose a topological...
As the demand for structure healthy monitoring of civil engineering continues to grow at an unprecedented pace, the need for real time remote data compression and transmission systems becomes more prominent. In this paper, aiming at the problem of massive data transmission in the safety monitoring systems of the civil engineering applications, the GPRS wireless transmission terminal is designed to...
PLS is widely used in the quality control process system, but it has poor capability in some strong local nonlinear system for fault diagnosis. To enhance the monitoring ability of such type fault, a novel statistical model based on global plus local projection to latent structures (GPLPLS) is proposed. Firstly, the characteristics and nature of quality-related global and local partial least squares...
Realizing the automated and online detection of crowd anomalies from surveillance CCTVs is a research-intensive and application-demanding task. This research proposes a novel technique for detecting crowd abnormalities through analyzing the spatial and temporal features of the input video signals. This integrated solution defines an image descriptor that reflects the global motion information over...
With China Remote Sensing career advancement, a large number of independent researches and development satellites have launched. Among a new generation of high-resolution satellites, GaoFen-1 (GF-1) stands out. It sets high spatial resolution (2 m-16 m), multi-spectral and high temporal resolution (4-day) with 60 km-800 km swath in a fusion technology with strategic significance. In order to explore...
In this paper, we propose a method to address the issue of link loss inference in uncertain networks. Although numerous loss inference methods have been proposed in recent years, most of them ignore the unstable states of networks. That is, the performances of real network environments, such as link loss rates and end-to-end routes, are constantly changing. Ignoring these uncertain factors of the...
The multivariate statistical process monitoring methods represented by the partial least squares method are widely used in quality control and fault diagnosis. However, the existing partial least squares method has certain shortcomings in application. In order to enhance the nonlinear processing ability of system monitoring, a locally linear embedding enhanced partial least squares (LLEEPLS) model...
An improved batch process fault identification approach with kernel exponential discriminant analysis (KEDA) is proposed, in which performance index based on difference degree is given to identify fault classification. This method takes the advantages of both the kernel technology and the exponential discriminant analysis technique. The proposed KEDA method shows powerful ability in dealing with nonlinear,...
In this paper, a new distributed least-squares algorithm is proposed to solve the sensor fusion problem in using wireless sensor networks (WSN) to monitor the behaviors of large-scale multiagent systems. Under the assumption that each sensor can take the measurements of a limited number of agents but the complete multiagent systems are covered under the union of all sensors in the network, the proposed...
We investigated whether participants with higher adherence to smartphone or paper-based self-monitoring of diet, physical activity, blood glucose, and body weight have a beneficial impact on their body weight and hemoglobin A1c measures over a 3-month period. Data were combined from two intervention studies that recruited overweight or obese participants with type 2 diabetes. Three clusters of adherence...
Data-based fault diagnosis technology applied in chemical industry process has attracted great attention, in which the effective methods for visualizing the process variation are still challenging. The self-organizing map (SOM) is an unsupervised learning algorithm of neural network, which is presented to solve the visualization monitoring and fault diagnosis problem. The high-dimensional input space...
As one of the newest technology, LTE has become increasingly popular after GSM and UMTS. As the LTE industrial chain matures and user requirements grow, E-UTRAN will be deployed on a large scale, covering all urban areas and most other regions. The control plane, which is responsible for connection management, mobility and security, has aroused more and more attention. In order to have an in-depth...
We propose two robust methods for anomaly detection in dynamic networks in which the properties of normal traffic evolve dynamically. We formulate the robust anomaly detection problem as a binary composite hypothesis testing problem and propose two methods: a model-free and a model-based one, leveraging techniques from the theory of large deviations. Both methods require a family of Probability Laws...
Crisis information broadcast is researched in this paper. Compared with traditional media, characters of we-media are summarized. Information broadcast mode is instructed. Three critical points are highlighted. As a result, countermeasures are issued as crisis monitor, crisis control and crisis recovery.
Reliability is one of the most important target in airplane designing, the redundancy technology is universally used in servo-actuator system of civil aircraft's Fly-by-Wire System (FBWS). In order to attain a high reliability, firstly the system structure is designed and redundancy allocation is given, accordingly the redundant management strategy and realization are described in detail. Based on...
In this paper, using 16 days 250m MODIS vegetation index dataset, the relationship between eight vegetation indexes (VIs) and aboveground biomass in Gannan grassland of China, was analyzed. Based on their correlations, monitoring models of aboveground biomass was constructed, and then the aboveground biomass of the whole Gannan Autonomous Region and its every county were estimated. The results showed...
One kind of good drought monitoring technology (DMT) can help to detect and characterize drought conditions, and reduce adverse drought impacts. We evaluate how a DMT for China, based on a land surface model, would perform. The land surface model current soil moisture, runoff and evaporation. The DMT incorporates the Palmer drought severity index (PDSI) and soil moisture deciles taken from the LSM...
Human scheduling for pipeline inspections of Coal Bed Methane field (CBM) is complicated due to more gas wells, field inspectors, and intensive pipeline equipments. To improve data collection efficiency, this work has developed a mobile GIS system which employed the state of art technologies including geographic information system, global positioning system, wireless networks and a smart phone. First,...
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