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When most individuals driving to the shopping mall choose the parking lot, they put attentions on not only the service levels of the parking lot but also their own personal preferences. Parking is essentially a choice behavior with preference information. The personal preferences consist of social attributes (e.g., gender, age, income, occupation), driving attributes (e.g., vehicle type, vehicle price,...
Although there are many research works focused on scientific community discovery and researcher profiling, it is still a challenge to track and assess the research development for an individual researcher or a research group over time. In this study, we seek to model and quantify an individual's research work outcome during his/her research career. A temporal tracking model is introduced to represent...
Combination of mobile Agent, Aglet platform and the Java language, this paper presents a security framework of e-commerce based on mobile agents and its implementation. In electronic shopping process, for example, the security issues of a mobile agent encountered in the system was detailed analysis when it migrated, registration, licensing and information exchange, and so on. The security framework...
Two modeling methods were applied to optimize the culture conditions for nisin production by Lactococcus lactis subsp. lactis in shake flasks, respectively and the results obtained by these methods were compared. The effects of the candidate culture conditions on nisin titer (NTs) were investigated by Plackett-Burman design (PBD) experiments. A linear regression model was established using the data...
Following the thinking clue of the ensemble prediction in numerical weather prediction (NWP), a novel nonlinear artificial intelligence ensemble prediction (NAIEP) model for calculation wind speed of Mountain Darong in Guangxi has been developed based on the multiple neural networks with identical expected output created by using the genetic algorithm (GA) of evolutionary computation. The results...
Data quality is crucial for data integration and the consistency dimension is an important issue in data quality. Traditional methods of data consistency focus on the conflict or inconsistency that occurs in the same concept. However, it is sometimes insufficient to ensure the data consistency only using these methods. In this paper, we divide the conflicts among different data sources into the traditional...
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