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Modern service industry (MSI) is becoming a leading and pillar industry in recent years. Its theory construction, however, has not kept up with the industry development. Specifically, the business process designing and reconstructing, the critical part in business transformation and competition of modern service enterprise, are still handled manually. The existing models, e.g., BPMN and EPC, mainly...
Over the past few years, regional air pollution has frequently occurred in Mid-Eastern China, especially in Beijing. As the primary pollutants in urban air, atmospheric particulate matter (PM) not only leads to the decrease of atmospheric visibility, but also increases the mortality and morbidity of respiratory system diseases. In order to estimate the concentration, distribution and other properties...
This paper describes our recent effort to develop a cognitive application to transform invoice processing in P2P (Procure to Pay) process in Finance operations. The context of this problem is with service providers who offer invoice processing services to their global clients. Due to the language barrier, the service provider usually maintain both offshore and near-shore teams, where the offshore...
In the past two decades, due to Taiwans national insurance policy, a substantial amount of medical and patient records have been stored in a large database. From this database, much important medical knowledge has been discovered; however, with the rapid growth of database size, it takes an increasingly long time to process queries on the database, even rather simple queries. We, therefore, propose...
In this paper, we present a new data mining framework for discovering sequence effects. In particular, we focus on the sequences consisting of actions that are taken in chronological order, like sequences of clinical procedures or marketing actions. Each sequence is associated with a binary outcome, a success or a failure. We investigate the hypothesis that certain subsequences of actions contribute...
The shallow junction is used in the PDSOI technology. Unfortunately, the standard diode model maybe not suit to this PN junction. A simulation model is proposed based on the PDSOI process. The additional influence of the voltage bias of the junction to the capacitance is considered in this model and then the model is well verified by the measured data.
The existed cloud data models cannot well meet the management requirements of structured data including a great deal of relational data, therefore a two-layer cloud data model is proposed by referencing the relation data model, Hierarchical data model and key value data model. In the representation layer, the concepts of composite class and composite object are proposed to represent nested data structure...
In this paper, we discuss one of the most common tasks faced by marketers when faced with resource and time constraints, namely, consumer prioritization with the objective of optimizing one or more marketing key performance indicators such as consumer conversion. A key element in building predictive models is the ability to introduce features that capture historical user behaviors in an effective...
The interval time distribution is a well investigated in the area of 'human dynamic'.Many research explained the heavy tail phenomenon and reproduced the heavy-tail-like interval time or response time distribution with various models. This paper empirically studies human online activities both at individual level and group level based on 'T-mall' data set and 'Wikipedia' data set. It points out that...
Due to the popularity and development of computer science, the connection between computer science and other disciplines became closer. The multidisciplinary crossing centered on computer science is gradually formed. Computer has unparalleled advantages in calculation, modeling, simulation and so on. It makes computer science hold a significant position in other disciplines. How to make students better...
Agricultural actions usually involve a decision process collaborating different decision makers and officers. Different decision process may encounter different difficulties depending on the type of actions. In order to make efficient progress in actions, a support system for decision making should be constructed to include not only supporting information for the decision, but also tools for decision...
We propose to improve speech recognition performance on speaker-independent, mixed language speech by asymmetric acoustic modeling. Mixed language is either inter-sentential code switching from the source matrix language to a foreign language or intra-sentential code mixing between the matrix language and embedded foreign words or phrases. In either case, the foreign phrases are pronounced by the...
Based on Dabholkar's service quality model about retailing, evaluation model of outlets' service quality was established. Using Structural Equation Model (SEM), after data processing by data analysis software SPSS13.0 and model analysis software AMOS7.0, the rationality and applicability of the model was good to further analyzed. The model of Physical Aspects, Reliability, Personal Interaction, Problem...
Recent years LiDAR data is widely used for constructing 3D terrain models which provide realistic impressions of the urban environment. This paper presents an automatic method for extracting 3D building model by the fusion of LiDAR data, 2D building outlines and orthoimage. 2D building outlines is generated by classifying the LiDAR data to terrain and off-terrain points, then detecting building edges...
According to the PM10 monitoring data of Harbin City in China during 2001~2007, the paper establishes a conventional grey forecasting model GM(1,1) and its metabolic version based on grey system theory. Four different methods are employed to test the accuracy of two models and the metabolic model is proved superior to conventional one as a good prediction approach. After that, the paper predicts the...
Data mining is the analysis of large observational data sets to find unsuspected relationships and to summarize the data. With the development of the broadcasting and television monitoring, monitoring data in database have become more and more. People hope that these data are both understandable and useful to future work. Therefore, it is very significant to discuss the specific applications of data...
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