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Since the computer hardware power has been improved, neural networks have been widely applied in different fields. However, to the best of our knowledge, the idea of coding spatial information for Alzheimer's disease classification in the regularization neural network context is still new. This motivation has led us to propose a spatial regularization approach for neural network and apply it to structural...
In wireless sensor networks, the resilient data fusion is an effective method to deal with the malicious attack while it is always energy exhausting, and does not consider the fusion function and the attack detection synthetically, which may affect the accuracy of fusion result. A novel information utility measures based resilient data fusion algorithm is proposed in this paper trying to solve this...
Packet Connect Circuit protocol is one of the NoC communication methods. Follow the PCC protocol, the data is transmitted in form of circuit through the route established by packet switching. However, there exists disadvantage in the traditional SPCC (single path Packet Connected Circuit, SPCC) routing algorithm whose rate of channel building will slow down when the chip is congest, resulting in the...
Recently, using web search data to predict public health trends and economical indicators, like consumption, unemployment, tourism is arising more and more researchers interest. Based on the thought that web search data could reflect searchers' attention and concern, we study the correlation between housing price index and web search data, then make a comparative analysis of two regions with different...
Fusion of pre- and intra-operative imaging modalities allows the accurate targeting of prostate interventions. We propose a personalized statistical motion model (PSMM) for the deformable registration of prostate magnetic resonance (MR) and 3D transrectal ultrasound (TRUS) images. Comparing to traditional statistical motion model (SMM) methods, for the first time, the biomechanical information obtained...
The MapReduce programming model has introduced simple interfaces to a large class of applications. Its easy-to-use APIs and autonomic parallelization are attracting attentions from scientific community. However, current MapReduce-style scientific frameworks focus more on the most popular MapReduce applications that can be easily partitioned and involve little communication across map or reduce tasks...
MapReduce programming model is widely used for large scale and one-time data-intensive distributed computing, but lacks flexibility and efficiency of processing small incremental data. IncMR framework is proposed in this paper for incrementally processing new data of a large data set, which takes state as implicit input and combines it with new data. Map tasks are created according to new splits instead...
Evaluation for target threat is an important part in the defensive decision making. As to each target, there are multiple attributes described by fuzzy or uncertain information which is represented with interval numbers. How to integrate these fuzzy information becomes a meaningful work. This paper integrates the fuzzy numbers by introducing the distance among interval numbers to find a special interval...
In this paper, a self-tuning decentralized PID controller is developed to multivariable and nonlinear systems, using just-in-time learning (JITL) technique. From the online process data, JITL provides a set of linear models, by which the parameters of PID controllers are adjusted by a self-tuning algorithm derived from the Lyapunov method such that the predicted tracking error converges asymptotically...
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