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Remote sensing opens a new method for obtaining forest canopy density. The forest resource field inventory data and simultaneous LANDSAT TM data were used to discover the model of estimating forest canopy density based on remote sensing here in Shimian county, Sichuan province, P.R.of China. A lot of derivative data were created from LANDSAT TM data. 1204 forest sub-compartments with inner homogeneity...
In this paper, we propose a novel model for finding experts on a given topic using social influence analysis in enterprise social network. In enterprise social networks, employees usually talk about some topics relevant to their tasks. With the integration of social technology in BPM (Business Process Management), more expertise characteristics are reflected by their actions in social networks. Social...
In this work, we address problem determination in virtualized clouds. We show that high dynamism, resource sharing, frequent reconfiguration, high propensity to faults and automated management introduce significant new challenges towards fault diagnosis in clouds. Towards this, we propose CloudPD, a fault management framework for clouds. CloudPD leverages (i) a canonical representation of the operating...
Qinghai Lake, which is the largest salt water lake in China and a major obstacle in the burgeoning Eastward desertification from West China, has a vital role in the ecological sustainability of Tibetan Plateau. From the ecological perspective, the environment of Qinghai Lake became worse since the end of last century, while due to its remoteness, the field surveys in this area are difficult to carry...
Quantitative estimation of vegetation water content with remote sensing technique is of great significance for vegetation physiological status and growth trend monitoring. It also provides a theoretical foundation for actual application of vegetation water content diagnosis using remote sensing images in Wild Duck Lake wetland. In this paper the NDVIs and SRs calculated from simulation WorldVeiw-2...
An interesting feature of some electricity logprice series is that they display daytime upward spikes and nighttime downward spikes. This paper will show that this phenomenology implies that the underlying data generating mechanism involves an implicit threshold behavior, and consequently that threshold stochastic dynamic models can be well suited to study this kind of series. As a worked out example,...
Gene regulatory network (GRN) inference from high throughput biological data has drawn a lot of research interest in the last decade. However, due to the complexity of gene regulation and lack of sufficient data, GRN inference still has much space to improve. One way to improve the inference of GRN is by developing methods to accurately combine various types of data. Here we apply dynamic Bayesian...
Online auction sites are a target for fraud. Researchers have developed fraud detection and prevention methods. However, there are difficulties when using either commercial or synthetic auction data to evaluate the effectiveness of these methods. When using commercial data, it is not possible to accurately identify cases of fraud. Using synthetic data, the conclusions drawn may not extend to the real...
Evapotranspiration (ET) is an essential parameter for estimation of irrigation water requirements. Climatic variables (CV) along with soil and plant variables are known to influence ET exhibiting completely different patterns at some locations because of multicollinearity (MC). These factors, coupled with the complex phenomenon of transpiration have been largely responsible for the development of...
Several biometric threats systems models have been proposed to facilitate the design, implementation and validation techniques for securing these systems. Some models classify threats by type of attacks, others by specific attacks and other by using vulnerabilities and threat agent. Each model proposes a vision and a different approach to identify these threats. For example, to design security techniques...
We present a time series data analysis for sport skill using data mining methods from motion pictures, focused on table tennis. We do not use body model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table...
Time series analysis can be used to analyze structural changes in dynamic networks. the techniques and tools used to analyze the structure of dynamic networks are investigated in this paper. a large climate anomaly dataset is analyzed and used to construct a time series correlation based graph. the experiment results indicate that this climate dataset has the features of a small-world network.
Correlation between innovation and remote experiment development is in fact correlation between practical experimentation and R&D development. In face to face learning the student employ one assembly for one experiment so that its inference rules are not developed too much. In the case of the remote experiment, the student has the possibility to access many assemblies for the same experiment,...
The objective of this paper is to develop the constructs for perceived consumer effectiveness; environmental concern and ecologically conscious behavior in assessing their validity and reliability. A survey has been developed and administered with a total sample of 319 achieved across the country. Through extensive review of pertinent literature, five dimensions have been identified that form the...
The objective of this paper is to develop the constructs for perceived consumer effectiveness; environmental concern and ecologically conscious behavior in assessing their validity and reliability. A survey has been developed and administered with a total sample of 319 achieved across the country. Through extensive review of pertinent literature, five dimensions have been identified that form the...
GPS and nomad devices are increasingly used to provide data from individuals in urban traffic networks. In many different applications, it is important to predict the continuation of an observed path, and also, given sparse data, predict where the individual (or vehicle) has been. Estimating the perceived cost functions is a difficult statistical estimation problem, for different reasons. First, the...
This paper presents a novel distributed binary sensing paradigm for walker recognition based on a well-known geometric probability model: Buffon's needle. The research aims to achieve a low-data-throughput gait biometric system suitable for wireless sensor network applications. We presents two types of Buffon's needle (BN) models for gait recognition: (1) a classical BN model based on a static distribution...
The use of social networking sites, such as Twitter, for various purposes, continues to grown since its first appearance. This social net is a microblogging site to share short messages on a variety of topics. In particular, political elections are a very interesting field to exchange views using this platform. In this paper we have used Spanish elections to investigate the use of Twitter for this...
Country risk is a quite important factor for international investment. Many institutions and researchers try to assess country risk by using numerous indicators and various evaluation models. This paper investigates the dynamic behavior of country risk in order to offer more detailed information of country risk to investors. First, country beta is taken as the proxy of country risk. Second, dynamic...
After the subprime crisis, banks have paid intense attention to credit portfolio concentration, for risk reduction or controlling the difference between regulatory capital and economic capital. So this paper teases out three major credit portfolio concentration risk measurement models, and makes a detailed comparative and applicable analysis of them, in order to provide a theoretical reference for...
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