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The MapReduce platform has been widely used for large-scale data processing and analysis recently. It works well if the hardware of a cluster is well configured. However, our survey has indicated that common hardware configurations in small- and medium-size enterprises may not be suitable for such tasks. This situation is more challenging for memory-constrained systems, in which the memory is a bottleneck...
The least mean square (LMS) algorithm is most popular adaptive filter because of its low-cost and robust. However, its convergence rate is slow when the measurement noise is added in unknown system. The combination of two least mean square (CLMS) filters is developed to address the tradeoff in many signal processing applications. Based on the analysis of basic-CLMS algorithm, a novel sign adaptation...
The article, based on the new accounting standards, makes empirical study on the listed companies' choice between, pretax earnings management activities that have current income tax consequences (book-tax ‘conforming earnings management’) and earnings management activities that do not have current income tax consequences (book-tax ‘nonconforming earnings management’). Our study also investigates firm-specific...
GUI (Graphical User Interface) testing is complex and inefficient in nowadays software testing. This paper proposed a framework for automated GUI test case generation. The framework includes a reverse engineering of executive GUI to create GUI information and event-flow model. According to these information and model, an ant colony algorithm is applied to generate test cases. Our study shows that...
Based on the theory of evolutionary game, this paper using replication dynamic equations to analyze behaviors of banks and enterprises in the process of lending. Though the result of evolutionary game is a disappointment for rational people as the market is close to a failure, the government as an external force can promote a better relationship between banks and enterprises to mutual benefits for...
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