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Spatial analysis in many fields requires effective address extraction from text reports. This problem is of particular importance in social science where news reports contain information about socially relevant incidents. Previous address extraction work focuses on web pages where addresses are separated from other text, however news reports contain addresses embedded in text. Hence, the need for...
With the development of pattern recognition and artificial intelligence, emotion recognition based on facial expression has attracted a great deal of research interest. Facial emotion recognition are mainly based on facial images. The commonly used datasets are created artificially, with obvious facial expression on each facial images. Actually, emotion is a complicated and dynamic process. If a person...
Sexual assault and interpersonal violence affects university communities in disproportionate numbers to those of the general population. It is estimated that one in five women will be the victims of a sexual assault during their college years. In this study, we use kernel density estimation, logistic regression and random forest modeling to conduct spatial and temporal analysis of sexual assault at...
A combined method based on grey relational analysis and entropy method was used to propose an evaluation model for organizational health, in which the entropy method was introduced to determine the weight of each indicator for organizational health, and the grey relational analysis method was introduced to evaluate and rank the degree of health for each organization. Then we used the evaluation model...
To evaluate motion sensing technologies capable of collecting data that supports the analysis of workers in manufacturing environments, we developed a procedure to categorize manufacturing processes and many motion sensing technologies. Processes were decomposed into: resolution of movements, amount of noise, and detection difficulty; sensors were decomposed into: sensitivity, noise-cancellation capability,...
A combined method based on grey relational analysis and entropy method was used to proposed a evaluation model for Mergers and Acquisitions (M&A) effectiveness, in which the entropy method was introduced to determine the weight of each indicator, and the grey relational analysis method was introduced to evaluate and rank the M&A effectiveness for each object. Then we used the evaluation model...
The present project involved the development of a novel interactive speech training system based on virtual reality articulation and examination of the efficacy of the system for hearing impaired (HI) children. Twenty meaningful Mandarin words were presented to the HI children via a 3-D talking head during articulation training. Electromagnetic Articulography (EMA) and graphic transform technology...
In this paper, we present an effective approach to locate scene text in images based on connected components analysis (CCA). Our approach first utilizes a multi-scale adaptive local thresholding operator to convert an image into two complementary binary images. Then, connected components (CCs) are extracted from both of them, which ensures that bright or dark text in contrast to background can be...
This paper presents the numerical simulation about spray dry purification flue gas of municipal solid wastes (MSW) incineration. The fluent software package, κ-ε RNG turbulence model and the stochastic model of the track was chosen to do this work; the research on the flow field characteristics by increasing flow equalization board was carried out. The paper mainly studied the effect for flow characteristics,...
Most scalable authentication schemes for images proposed in literature only consider about general signature schemes which use an unkeyed one-way hash function to generate hash digest. In this paper, we propose a scalable message authentication scheme for JPEG2000 codestream utilizing a keyed hash function to provide both integrity and origin authentication. The proposed scheme adapts the Merkle hash...
From the perspective of positive psychology, this study examines the relationship between emotional labor and job engagement. Results of the 258 sample survey showed emotional labor has a certain prediction on job engagement: the surface acting has a negative correlation with dedication, deep acting has a positive correlation with dedication, and emotional strategy has a positive correlation with...
Captions in videos play a significant role for automatically understanding and indexing video content, since much semantic information is associated with them. This paper presents an effective approach to extracting captions from videos, in which multiple different categories of features (edge, color, stroke etc.) are utilized, and the spatio-temporal characteristics of captions are considered. First,...
Many trust evaluation models have been proposed for P2P networks recently. While in these models, nodes usually need to record all nodes' trust, or the time complexity is high. In our paper, we propose a trust evaluation model based on resistive network. In which, nodes only need to record their neighbors' trust and the time complexity is lower. The experiments and analysis show that, on the premise...
There are a number of unreliable resources in grid market, which correspondingly bring to resource service risk. It obviously affects grid scheduling and utility seriously. In this paper, a classified approach is proposed to divide resource service risk into tangible risk and intangible risk according to how the resource service risk engenders. Then it introduces the models of tangible risk and intangible...
In the market-oriented grid environment, clients make use of grid computing resources to execute many independent tasks. According to the urgency of tasks and deficiency of client' budget, not all the tasks could be completed as demanded. To maximize the number of completed tasks, a linear programming model based scheduling algorithm (LMBS) is proposed in this paper. Comparing with other algorithms,...
The previous deadline and budget constrained (DBC) algorithms were proposed to optimize the user's cost in market-based job assignment. However those algorithms are not suitable for unreliable grid environment. An opportunity-cost guided algorithm is proposed for job scheduling to bridge this gap. By employing trust mechanism into the grid market, this approach takes both of resource's explicit cost...
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