In the process of spectrum perception,in order to realize accurate perception of the channel state,the method of multi-node cooperative perception can usually be used.However,the first problem to be considered is how ...In the process of spectrum perception,in order to realize accurate perception of the channel state,the method of multi-node cooperative perception can usually be used.However,the first problem to be considered is how to complete information fusion and obtain more accurate and reliable judgment results based on multi-node perception results.The ideas put forward in this paper are as follows:firstly,the perceived results of each node are obtained on the premise of limiting detection probability and false alarm probability.Then,on the one hand,the weighted fusion criterion of decision-making weight optimization of each node is realized based on a genetic algorithm,and the useless nodes also can be screened out to reduce energy loss;on the other hand,through the linear fitting ability of RBF neural network,the self-inspection of the perceptive nodes can be realized to ensure the normal operation of the perceptive work of each node.What's more,the real-time training data can be obtained by spectral segmentation technology to ensure the real-time accuracy of the optimization results.Finally,the simulation results show that this method can effectively improve the accuracy and stability of channel perception results,optimize the structure of the cooperative network and reduce energy consumption.展开更多
A non-intrusive design of self-checking finite state machines (FSMs) in VLSI circuits was investigated using convolutional codes. We propose a novel scheme which cannot only detect but also correct errors occurred in ...A non-intrusive design of self-checking finite state machines (FSMs) in VLSI circuits was investigated using convolutional codes. We propose a novel scheme which cannot only detect but also correct errors occurred in FSM states. The error state will be corrected and sent back to the FSM, so that the concurrent error in the current state is detected and corrected immediately. Moreover, we realize the IP core of the self-checking module by SMIC 0.25-μm CMOS technology and also simulate its function in FPGA.展开更多
以重点工程科技楼建设项目为例,通过建立建筑信息模型(Building Information Modeling,BIM),运用信息增益算法,研究多专业参数化模型构件在常规碰撞及复杂碰撞情况下BIM系统对结果的自决及人工决策情况。通过对算法结果进行分析可知,在...以重点工程科技楼建设项目为例,通过建立建筑信息模型(Building Information Modeling,BIM),运用信息增益算法,研究多专业参数化模型构件在常规碰撞及复杂碰撞情况下BIM系统对结果的自决及人工决策情况。通过对算法结果进行分析可知,在常规三大项碰撞中,BIM对问题的自我决策结果大多可在项目中直接应用,自决率高,总体自决率达到85.71%;在面对复杂碰撞情况中,人工后期干预决策率远高于BIM自决结果,达到了62.5%。两大类碰撞环境与数据特征明显,对利用数字手段指导建筑工程应用难点起到很好的示范指导作用。展开更多
文摘In the process of spectrum perception,in order to realize accurate perception of the channel state,the method of multi-node cooperative perception can usually be used.However,the first problem to be considered is how to complete information fusion and obtain more accurate and reliable judgment results based on multi-node perception results.The ideas put forward in this paper are as follows:firstly,the perceived results of each node are obtained on the premise of limiting detection probability and false alarm probability.Then,on the one hand,the weighted fusion criterion of decision-making weight optimization of each node is realized based on a genetic algorithm,and the useless nodes also can be screened out to reduce energy loss;on the other hand,through the linear fitting ability of RBF neural network,the self-inspection of the perceptive nodes can be realized to ensure the normal operation of the perceptive work of each node.What's more,the real-time training data can be obtained by spectral segmentation technology to ensure the real-time accuracy of the optimization results.Finally,the simulation results show that this method can effectively improve the accuracy and stability of channel perception results,optimize the structure of the cooperative network and reduce energy consumption.
基金the National Natural Science Foundation of China (No. 60473033)the Shanghai Leading Academic Discipline Project (No. T0103).
文摘A non-intrusive design of self-checking finite state machines (FSMs) in VLSI circuits was investigated using convolutional codes. We propose a novel scheme which cannot only detect but also correct errors occurred in FSM states. The error state will be corrected and sent back to the FSM, so that the concurrent error in the current state is detected and corrected immediately. Moreover, we realize the IP core of the self-checking module by SMIC 0.25-μm CMOS technology and also simulate its function in FPGA.
文摘以重点工程科技楼建设项目为例,通过建立建筑信息模型(Building Information Modeling,BIM),运用信息增益算法,研究多专业参数化模型构件在常规碰撞及复杂碰撞情况下BIM系统对结果的自决及人工决策情况。通过对算法结果进行分析可知,在常规三大项碰撞中,BIM对问题的自我决策结果大多可在项目中直接应用,自决率高,总体自决率达到85.71%;在面对复杂碰撞情况中,人工后期干预决策率远高于BIM自决结果,达到了62.5%。两大类碰撞环境与数据特征明显,对利用数字手段指导建筑工程应用难点起到很好的示范指导作用。
