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When auditing the large enterprise groups with many accounting subjects, in order to find. the doubtful auditing points quickly in the mass electronic data, we designed and developed a accounting report procedure for single subject according to the logic of balance sheet with the parallel simulation; adopted the associative rules to mine the audit features of electronic data, and combined with the...
The purpose of this paper is to propose a new design optimization technique based on flow computing and Morse theory. The basic idea is based on previous works by the authors on evolutionary architecture paradigm of evolving architectural form. Models will evolve according to a descending flow. Mathematical models include analytical functions, parametric functions and other nonlinear functions will...
A node position derivation algorithm called IR for WSNs is developed in this paper. IR is an iterative algorithm based on node-beacon distance information. It is assumed that each sensor node can connect with several beacons by one-hop or multihop and estimate the node-beacon distances, and then, the algorithm is executed in a distributed mode. Simulation is provided to compare our proposed algorithm...
Based on information processing theory, this study conducted an analysis of the literature on learning process models and put forward a new model of e-learning from the prospective of ecology. First, it suggested four stages during the development of information processing models on learning process, and pointed out the problems and limitations of previous researches. Then it constructed an ecological...
Gaussian mixture models with an universal background model (UBM) have been the standard method for speaker recognition. Typically, maximum a posteriori (MAP) or maximum likelihood linear regression (MLLR) is used to adapt the means of the UBM. Together with the SVM modeling technique, these approaches can achieve excellent performance. MLLR is quite efficient when the amount of adaptation data is...
Ability level of learner is the important dimension of adaptation in adaptive learning system. There are great differences in the capacity dimensions between different learners. Even for each specific learner, his ability level changes in the learning process. In order to more effectively evaluate the learner's ability level and to support the personalized learning, we integrate the computerized adaptive...
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