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In atmospheric sciences, sizes of data sets grow continuously due to increasing resolutions. A central task is the comparison of spa-tiotemporal fields, to assess different simulations and to compare simulations with observations. A significant information reduction is possible by focusing on geometric-topological features of the fields or on derived meteorological objects. Due to the huge size of...
There is a need to exploit the available data collected on environment for the development of smart cities in order to improve the air quality which in turn can improve the quality of life for a city. Air pollution is becoming a serious concern to the society as the air pollutants are very hazardous in nature. Pollutants affect the health and causes respiratory and cardiac problems. If air pollutants...
Main purpose of this paper is to outline options of atmospheric pressure determination with help of TDOA method location. The TDOA system uses the ASTERIX data format. There is the exploration of profitable data extraction from ASTERIX data format. Also the principle of atmospheric pressure determination is explained. As a results there are shown derived atmospheric pressure data and its accuracies.
Sharing economy becomes an emerging issue in urban life. It is not a new phenomenon but an assembling of existing techniques to meet specific demands of users. It also points out a better way to implicitly collect users’ contexts and to understand users than the conventional one that requires much user involvement (e.g., tedious inputs). A universal model, for this purpose, that supports dynamic analysis...
The rapid spread of mobile internet and location-acquisition technologies have led to the increasing popularity of Location-Based Social Networks(LBSNs). Users in LBSNs can share their life by checking in at various venues at any time. In LBSNs, identifying home locations of users is significant for effective location-based services like personalized search, targeted advertisement, local recommendation...
Accurately learned air quality of second-hand housing is very important for home buyer. In order to provide home buyer with a simple and novel approach to get air quality of second-hand housing, this paper firstly presents air quality of second-hand housing forecast method using random forest that is one of the data mining algorithm. According to hedonic price theory, by training the random forest...
The verification and validation of industrial closed-loop automotive systems still remains a major challenge. The overall goal is to verify properties of the closed-loop combination of control software and physical plant. While current software model-checking techniques can be applied on a software component of the system, the end result is not very useful unless the interactions with the physical...
Air traffic management (ATM) initiatives are developed and implemented to mitigate delays caused by uncertainty in weather and demand at an airport. ATM decisions are made by traffic flow management specialists, based on their judgment and experience. Historical data on airport operations can be used to assist decision-making by intelligently augmenting controller experience with a more systematic...
LiDAR technology is playing a more and more important role in power line patrol, and the working model is the key segment in this patrol. This paper objectively investigate the influence of point cloud density for power patrol by man-machine carrying laser radar equipment, and then recognize and extract the power line information. Firstly, this paper obtains the original data of power line by three...
Nowadays, every country pay attention to environment protection, so study on environmental monitoring management system (EMMS) will play more important role. This study integrated the big data technology into EMMS. First, it describes the traditional EMMS which has basic functions. Next it introduced big data technologies and analyzed EMMS system structure integrating with big data and gives an actual...
A major part of the job offers and candidates profiles are now available online. Leveraging this public data, Multiposting, a subsidiary of SAP, aims at providing in real-time an exhaustive job market analysis through the SmartSearch project. One big issue in this project, and more generally in the e-recruitment and the human resources management, is to extract the skills from the raw texts in order...
India is an agricultural country and its economy is largely based upon crop productivity and rainfall. For analyzing the crop productivity, rainfall prediction is require and necessary to all farmers. Rainfall Prediction is the application of science and technology to predict the state of the atmosphere. It is important to exactly determine the rainfall for effective use of water resources, crop productivity...
Two extraction models applied in estimating forest height and above-ground biomass (AGB) were developed using the X-band Interferometric Synthetic Aperture Radar (InSAR) data, which was acquired from the China airborne SAR system in 2013 covering part of forested area in northeast China. The models using multi-passes InSAR data for the estimations of forest height and AGB were introduced respectively...
Both airborne and mobile LiDAR are suitable for the fast information acquisition of large-scale urban buildings, which respectively express the rooftop and the facade information of buildings. The fusion of airborne and mobile LiDAR can provide a relatively complete building point cloud, which is beneficial to constructing precise building models. Due to the different data acquisition methods, airborne...
It is a generally accepted fact that the Airport is the focal point of the country which creates a lasting impression of its people. The challenge faced by airports today is the complexity of players and processes, and the inability of multiple systems to share and analyze data. In order to face this challenge, many airports have implemented isolated solutions. While these solutions may improve specific...
Analysis of Flight Operations Quality Assurance (FOQA) data from millions of flights from at least 10 U.S. airlines has enabled researchers, using data mining and machine learning algorithms, to identify abnormal scenarios that maybe precursors to accidents and incidents. Innovation of these algorithms is hindered by restricted access to the FOQA data to comply with confidentiality, proprietary and...
A large number of online reviews have been accumulated on the Web, such as Amazon.com and Cnet.com. It is increasingly challenging to digest these reviews for both consumers and firms as the volume of reviews increases. A promising direction to ease such a burden is to automatically identify aspects of a product and reveal each individual's ratings on them from these reviews. The identified and rated...
Recent research efforts aim at utilizing Big Climate Data to predict floods 5 to 15 days in advance. Improvements in the prediction of heavy precipitation, a major factor related with flood occurrences, have lagged behind due to the high-dimensionality and non-linearity in the weather, hydriology and dydraulic systems. In this paper, we introduce Spatio-Temporal Asynchronous Co-Occurrence Pattern...
Airline ticket purchase timing is a strategic problem that requires both historical data and domain knowledge to be solved consistently. Even with some historical information (often a feature of modern travel reservation web sites), it is difficult for consumers to make true cost-minimizing decisions. As product prices become increasingly available on the World Wide Web, consumers attempt to understand...
In this paper, we have established a forecasting model of atmospheric pollution. The forecasting model which combines with data mining techniques and BP neural network algorithm is based on the monitoring data of air pollution obtained from Shijiazhuang air quality monitoring stations. Firstly this model uses the data mining technology to find the factors which affect air quality. Secondly it uses...
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