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Severe weather events are responsible for hundreds of fatalities and millions of euros of damage every year in the Mediterranean basin. Lightning activity is a characteristic phenomenon of severe weather and often accompanies torrential rainfall, which under certain conditions like terrain type, slope, drainage and soil saturation can generate flash flood. Therefore, the improvement in forecast skill...
The forecast of Singapore condominium prices is important for potential buyers to make informed decisions. This paper applies two algorithms to predict Singapore housing market and to compares the predictive performance of artificial neural network (ANN) model, i.e., the multilayer perceptron, with autoregressive integrated moving average (ARIMA) model. The more superior model is used to predict the...
The RDF (Resource Description Framework) datamodel has been used in various domains, such as Web,government, biology etc. Now, the volume of RDF datasets is growing significantly. The explosion on the volume of RDF data raises serious challenges: how to answer SPARQL queries on large RDF data sets efficiently. Here, we present a large-scale RDF data system - TripleParallel, which implements blockbased...
The volume of XML data is tremendous in many areas, especially in data logging and scientific areas. XPath query is the core operation of XML process. It is a challenge to query massive XML data stored in a distributed manner. In this paper, we present an efficient distributed XPath query processing using MapReduce, which simultaneously processes queries for a massive volume of XML data. We first...
This article researches on node importance ranking of multiplex network. Existing node importance ranking methods are amost monoplex network using only single relationship. However, in real life a person often has various relationships, so how to rank nodes of multiplex network is more realistic and meaningful. In this article, we propose a multiplex network node ranking method based on weighted aggregation...
In case of numerous loops control engineers need fast and accurate method finding out loops with the poorest control quality. There exits several measures however, industrial practice reveals their deficiencies. Some of them require introduction of external disturbance into the process (like the step test) that in many cases is considered as a risk or threat. The other group of automatic approaches...
In order to evaluating the management efficiency of enterprises, In this paper, a kind of new data envelopment analysis(DEA)/analytic BPNN method is applied to conduct specific performance appraisal on a sales team so as to solve the original problem of the failure to sort completely. The new method helps to solve the original problem of the failure to conduct sequencing completely by DEA method,...
With massive networks emerging with labels or textual contents on the nodes, keyword search on graphs has been used in a wide range of real-life applications in recent years. For achieving great cost savings, data owners are motivated to outsource their services on graphs to the cloud. However, directly outsourcing them may arise serious privacy concerns. In this paper, we study the problem of privacy-preserving...
It is well known that in-place update index, unordered log structured index and ordered log structured index are three typical data organizations which are designed to meet different workload requirements respectively and wildly used in big data storage systems. Differentiated workload requirements in different phase of the data lifecycle, e.g. various types of data are injected into the big data...
GMTI radars produce a huge amount of data with measurements of up to several thousands of objects. So the analysis and realistic simulation of GMTI data is a big challenge, since the sensor dynamics, its moving platform and the radar characteristics also have to be taken into account as the data load. Still the land and sea environment of the targets, including models using road maps or straits, increase...
In this paper, combined with the nonlinear characteristics of bridge structure, this article proposed a kind of damage identification of bridge based on the multi-fractal spectrum. 1∶20 scale model of continuous rigid-frame bridge (4.9m+9m+4.9m) was used as the research object, and based on acceleration data to analyze the fractal features for structural dynamic system in different conditions. Obviously,...
Throughput prediction contributes a lot to adaptive bitrate control, adjusting the quality of video streaming accordingly to offer smooth media transmission and save energy at the same time. To solve the problem of throughput prediction for real time communication, this paper puts forward a new history-based throughput prediction method applying Hidden Markov Model in mobile networks. The main purpose...
MODIS data have proven useful for various vegetation applications at large scales. Considering the mismatched spatial resolution between MODIS and agricultural field size, it is important to map crop areas at the sub-pixel level of MODIS. The Crop Phenology Proportion Index (CPPI) model has shown promises in deriving fractional crop areas in typical cultivated areas. In this study, we applied the...
Partitioning regression is the simultaneous fitting of multiple models to a set of data and partitioning of that data into easily modelled classes. The key to partitioning regression with evolution is minimum error assignment during fitness evaluation. Assigning a point to the model for which it has the least error while using evolution to minimize total model error encourages the evolution of models...
The photochemical reflectance index (PRI) has been suggested as an indicator of light use efficiency (LUE) for various plant functional types at both leaf and canopy scales. However, the application of PRI for the estimation of LUE has been always contaminated by canopy structures and directional effects associated with changes in illumination and viewing angles. The most important variable that controls...
This study investigated how motivation, academic emotions, and self-regulated learning strategies influenced academic achievement in technology-enhanced learning environment. The research framework and hypotheses were proposed based on the literature review. A survey was administered to collect data from 238 undergraduates majoring in politics, philosophy, and physical education. The data was analyzed...
This paper presents an application of educational data mining to predict undergraduate retention. The research provides valuable insight about data feature ranking, algorithm selections and validation methods based on unique types of data that come from educational settings. The data from a cohort of 972 students enrolled in 2008 at Embry-Riddle Aeronautical University (ERAU) were used to train and...
This paper puts forward an evaluation index system with 20 indexes and quantitive criteria for geographical ecological environment bearing capacity based on national geographic conditions census data; the evaluation model is determined by comprehensive evaluation method and weighted by analytic hierarchy process; comprehensive suitability zone is introduced through the evaluation results of bearing...
This study attempted to establish the relationship between ground-level PM2.5 concentrations and satellite-retrieved aerosol optical depth (AOD) using the Vegetation Adjusted NTL Urban Index (VANUI), over the New England region for the year 2013. A geographically weighted regression (GWR) model was used to predict ground-level PM2.5 on a daily basis. The study demonstrates that DMSP/OLS NTL data has...
Since the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) was launched in 1999 the sensor has acquired an extensive coverage of the Earth's surface. The ASTER archive has great potential for a variety of regional and continental scale studies. ASTER is particularly useful for geological applications with a number of mineralogical groups being able to be identified. Although...
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