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The categorical data that have natural ordering between categories are termed ordinal data, which are pervasive in numerous areas, including discrete sensor readings, metering data or preference options. Though aggregating such ordinal data from the population is facilitating plenty of crowdsourcing applications, contributing such data is privacy risky and may reveal sensitive information (e.g. locations,...
In this paper, we develop a novel scheme to reduce the amount of training data required for training deep neural networks (DNNs). We first apply a partial mutual information (PMI) technique to seek for the optimal DNN feature set. Then we use a correlation matching based active learning (CMAL) technique to select and label the most informative training data. We integrate these two techniques with...
Modeling gene regulatory networks (GRNs) is essential for conceptualizing how genes are expressed and how they influence each other. Typically, a reverse engineering approach is employed; this strategy is effective in reproducing possible fitting models of GRNs. To use this strategy, however, two daunting tasks must be undertaken: one task is to optimize the accuracy of inferred network behaviors;...
Personalized e-advertising is the art of attracting users' attention by correlating to their tastes and interests. The evolving research of adaptive hypermedia with its techniques and theories contributed to the personalization field. This paper reports the case study of "My Ads", an adaptive e-advertisement delivery system that is based on a new theoretical framework, to evaluate users'...
In order to improve the radiometric precision of Synthetic Aperture Radar (SAR) image, this paper analyses the power-loss of SAR raw data which is caused by block adaptive quantization (BAQ) and then proposed a compensation method. Firstly, the saturation factor γclip is defined and then a unified model of BAQ compression is proposed by using the concept of normalized quantizer. Secondly, the signal...
The deployment of electrical charging service network and power distribution network depend largely on the precisely electric vehicle prediction. System dynamics and agent based modeling are adopted in this paper to build the system model of the electric vehicle prediction through the systematic analysis of the various factors which affecting the development of electric vehicles. Case simulation is...
Block adaptive quantization (BAQ) is widely utilized for reducing downlink data rate of spaceborne synthetic aperture radar (SAR). The mutual information upper bond of BAQ compressed data is proposed by means of establishing a mathematical mapping relationship between output signal entropy and input signal saturation degree, using information theoretical analysis method. Threshold saturation degree...
While there is intense global research activity addressing problems underpinning the re-engineering of the electrical power grid, thermal energy grids are likely to play an increasing role in energy systems. This paper describes an on-going effort in hybrid modeling and co-simulation of the physical and control domains of district heating networks. The focus is on modeling each domain using semantics...
Modeling is the crucial first step in formal verification. Some models are constructed by humans from source code, while others are extracted automatically by tools. Regardless of how a model is constructed, verification is only as good as the model; therefore, it is essential to validate the model against the implementation it represents. In this paper we present two complementary approaches to software...
The design software used in the Matlab interface as the application development platform, and with a SQL Server database as the background data storage tool, in order to achieve efficient human-computer interaction function. From the results of view, the end result meets the design requirements, host computer receives a wireless sensor network module transmission to the temperature, humidity, air...
Conventional image edge detection algorithms generate the information undetected and artificial information problems. In order to detect the image edge more effectively, an improved method based on grey model (GM) is brought forward. The neighborhood pixels of target pixel are selected to build the model. These data are preprocessed by translation transformation and logarithmic transformation. The...
Based on the pharmacokinetic model of conventional agents, through introduction of sustained-release effect factor, we build a pharmacokinetic model of sustained-release agents so as to provide a new model of agents for clinical application. We discuss the properties of the new model and make a comparison with the conventional ones. By theoretical analysis and clinical data validation of metformin...
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