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As the most abundant inland river of water resource in Liaoning province, Hun River affords industrial and agricultural production and domestic water task in central city group of Liaoning province. Recently, dozens of sewage draining exits in different sizes are constantly discharging along Hun River. Environmental monitoring communique can discover that indicators of ammonia nitrogen and COD are...
Causal-based alert correlation is one of the mainstream techniques to detect multi-step threat behaviors. However, because large-scale network generates high-speed alerts and alert type distribution in dataflow changes over time, it is challenging to increase generality, scalability and reduce overhead for causal alert correlation method. In this paper, we propose a novel general, scalable and low-overhead...
Security-sensitive behaviors in Android applications (apps for short) may or may not be malicious. We propose that a fundamental difference between malicious and benign behaviors is that their corresponding user intentions are different, i.e., whether there is an association between the app behavior and user intention. The user knows and wants this behavior to happen. Based on this discovery, we first...
Online monitoring, providing the real-time status information of servers, is indispensable for the management of distributed systems, e.g. failure detection and resource scheduling. The main design challenges for distributed monitoring systems include scalability, fine granularity, reliability and low overheads. And the challenges are growing with the increase of the scales of the distributed systems...
In view of the unsatisfactory results and the low utilization rates of electric equipment application, this paper proposed a hierarchical information aggregation structure and model in data analysis and application, taking the autocorrelation analysis based on data probability distribution as the foundation. The model aimed at predicting equipment state trends and assessing equipment service lifetime,...
An improved dynamic principal component analysis (DPCA) is presented which uses principal component related variable residual (PVR) statistic to replace Q statistic, applied to multivariate statistical process monitoring. The improved DPCA can avoid the conservation of Q statistical detection and provide more explicit process variable information about the principal component. Thus effectively identify...
Various remote sensing-based drought indices have been developed during the past decades. These indices have their own applicability. Examination of adaption associated with limitations in drought indices would be useful for index selection and improvement. In this study, five drought indices (e.g. the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI),...
Remotely sensed soil moisture data can provide timely, objective and quantitative crop soil moisture information with broad geospatial coverage and sufficiently high resolution observations collected throughout the growing season. This paper evaluates the feasibility of using the assimilated ESA Soil Moisture Ocean Salinity (SMOS) Mission L-band passive microwave data for operational US cropland soil...
A time series is a sequence of observations collected over fixed sampling intervals. Several real-world dynamic processes can be modeled as a time series, such as stock price movements, exchange rates, temperatures, among others. As a special kind of data stream, a time series may present concept drift, which affects negatively time series analysis and forecasting. Explicit drift detection methods...
Crude protein and amylose content are 2 important indexes of rice quality, the aim of the study is to explore an appropriate method and model to monitor the rice quality by using hyperspectral data. We colleceted samples in 2013 and 2014 when rice entered the mature period in the east of Deqing county and aquired the hyperspectral data of 4 diffenent forms of rice, including ear of rice, paddy, rice...
The study aimed to develop a universal method to monitor soil APC by hyperspectral data. The correlations between soil APC and the hyperspectrum reflectivity and its mathematical transformations were analyzed. The feature bands and its transformations were screened to develop the optimizing model of monitoring soil APC based on the method of multiple linear regression. The in-situ testing samples...
Terrain measurement and surface motion estimation are key applications for SAR missions. These applications drive several SAR satellite missions in the Dragon partner countries in Europe and China. In this context, we present our work in the Dragon program on terrain measurements with results from several test sites in China.
Mining activities has caused long-term change in land surface and hydrological cycle. Accurate information of vegetation structure is important for assessing how mining activities affect ecosystem in mining areas. A remote sensing method based on vegetation cover monitoring and assessment by using Landsat data sets with the temporal coverage from 1989 to 2015 was presented and applied to the Pingshuo...
This paper presents the latest development of NSSC's integrated GNSS remote sensing instrument. This new instrument is flexible designed for a variety of GNSS science needs based on the successful GNOS receiver, but with more functional modules. The goal of this instrument is to be put onboard of future Chinese space-borne platforms to provide precise position and timing information for high-demand...
Now-a-days with the advancement of satellite based remote sensing technologies, spatial drought monitoring and assessment has become feasible. Drought can be significantly monitored with the satellite data. Pakistan has often undergone short and long periods of drought. In this paper, 2014 drought occurrence in Mithi taluka (district Tharparkar) was analyzed during 2010–2014. 16 days composite of...
Software-defined networking (SDN) aims to provide open interfaces, such as OpenFlow protocol, that enable programmable flow-based network management. Meanwhile, OpenFlow-enabled switches provide rich statistical information for specific flows, tables, and ports which facilitates various network management tasks. However, current traffic monitoring techniques collecting statistics from existing flow...
The Pearl River delta is one of the most densely populated areas in China, with high urbanization and rapid economic development. The drama change of land use in recent years has been matched by rising pollution of water. With monitoring data of water quality and Landsat OLI8 images 2013, this paper analyzed the relationship between land use and water quality in the river net area of Pearl River delta...
Fireworks/firecrackers have always played an important role in traditional Chinese New Year. However, several pollutants are emitted while burning fireworks/firecrackers. Among them, fine particulate matter (PM2.5) draws extensive attention due to its negative effect on human body. Previous studies have proved fireworks/firecrackers displays can raise regional PM2.5 concentration, but studies are...
Guangzhou as the political, economic and cultural center of Southern China, the social economy has achieved rapid development and urban spatial structure changed dramatically after 30 years of reform and opening up. With the accelerated process of urbanization, environmental problems have become increasingly serious and urban heat island effect in many environmental problems are particularly prominent,...
Urban lands of Chinese cities tend to expand in an unreasonable way, which has been a critical problem for China due to its insufficient land resources. As the important carrier loading active social economic activities and dense population, municipalities and provincial capitals are in an important strategic position in the China. In this study, 4 municipalities and 27 provincial capitals are selected...
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