Federal Aviation Administration(FAA) and NASA technical reports indicate that the misunderstanding in radiotelephony communications is a primary causal factor associated with operation errors, and a sizable proportion...Federal Aviation Administration(FAA) and NASA technical reports indicate that the misunderstanding in radiotelephony communications is a primary causal factor associated with operation errors, and a sizable proportion of operation errors lead to read-back errors. We introduce deep learning method to solve this problem and propose a new semantic checking model based on Long Short-Time Memory network(LSTM) for intelligent read-back error checking. A meanpooling layer is added to the traditional LSTM, so as to utilize the information obtained by all the hidden activation vectors, and also to improve the robustness of the semantic vector extracted by LSTM. A MultiLayer Perceptron(MLP) layer, which can maintain the information of different regions in the concatenated vectors obtained by the mean-pooling layer, is applied instead of traditional similarity function in the new model to express the semantic similarity of the read-back pairs quantitatively. The K-Nearest Neighbor(KNN) classifier is used to verify whether the read-back pairs are consistent in semantics according to the output of MLP layer. Extensive experiments are conducted and the results show that the proposed model is more effective and more robust than the traditional checking model to verify the semantic consistency of read-backs automatically.展开更多
The advantages of read-only storage is the predominance of optical recording relative to magnetic and other rewritable methods. Multilevel （ML） read-only technology has been a trend to improve the data capacity and ...The advantages of read-only storage is the predominance of optical recording relative to magnetic and other rewritable methods. Multilevel （ML） read-only technology has been a trend to improve the data capacity and transfer rate. Based on the principle and coding method of ML, this paper demonstrates some ML read-only recording methods, of which a new ML read-only recording is developed. This recording method integrates amplitude modulation achieved by the reaction mechanism of physics and chemistry of photoresist with the run-length-limited technology. The discs can be achieved using standard photoresist mastering and replication techniques with great compatibility to conventional binary read-only discs.展开更多
The strict and efficient transcription termination is required to prevent production of aberrant read- through transcripts that may cause transcriptional interference at neighboring genes. However, the exact regulator...The strict and efficient transcription termination is required to prevent production of aberrant read- through transcripts that may cause transcriptional interference at neighboring genes. However, the exact regulatory mechanism remains poorly understood. Through a genetic screening of a LUCIFERASE （LUC） reporter system, we found that Arabidopsis nucleosome remodeler DECREASE IN DNA METHYL- ATION1 （DDM1） is a key component of this regulatory machinery and plays an important role in tran- scription termination, thus limiting transcriptional read-through （TRT）. By whole-genome strand- specific RNA sequencing, we identified and confirmed 43 endogenous TRTs between genes, transposable elements （TEs）, or genes and TEs in the ddml-10 mutant, which mainly occurred at heterochromatin regions. The DNA methylation analysis of these TRT regions revealed that TRT occurred frequently at the intergenic regions with a higher methylation level in wild type comparing to the regions where TRT did not occur. Our results suggest that the level of intergenic DNA methylation may involve in preventing aberrant gene TRT or producing new gene during evolution.展开更多
Based on the six months data set of ARGO-YBJ experiment with analog read-out and its Monte Carlo simulation, we study the difference between different primaries induced showers by using the space-time information of t...Based on the six months data set of ARGO-YBJ experiment with analog read-out and its Monte Carlo simulation, we study the difference between different primaries induced showers by using the space-time information of the charged particles in Extensive Air Showers. With five parameters which can efficiently pick out primary proton induced showers as inputs of an artificial neural network, the proton Spectrum from 100 TeV to 10 PeV can be obtained.展开更多
基金supported by the National Natural Science Foundation of China(Nos.61502498,U1433120 and 61806208)the Fundamental Research Funds for the Central Universities,China(No.3122017001)
文摘Federal Aviation Administration(FAA) and NASA technical reports indicate that the misunderstanding in radiotelephony communications is a primary causal factor associated with operation errors, and a sizable proportion of operation errors lead to read-back errors. We introduce deep learning method to solve this problem and propose a new semantic checking model based on Long Short-Time Memory network(LSTM) for intelligent read-back error checking. A meanpooling layer is added to the traditional LSTM, so as to utilize the information obtained by all the hidden activation vectors, and also to improve the robustness of the semantic vector extracted by LSTM. A MultiLayer Perceptron(MLP) layer, which can maintain the information of different regions in the concatenated vectors obtained by the mean-pooling layer, is applied instead of traditional similarity function in the new model to express the semantic similarity of the read-back pairs quantitatively. The K-Nearest Neighbor(KNN) classifier is used to verify whether the read-back pairs are consistent in semantics according to the output of MLP layer. Extensive experiments are conducted and the results show that the proposed model is more effective and more robust than the traditional checking model to verify the semantic consistency of read-backs automatically.
基金Project supported by the National Natural Science Foundation of China （Grant No 60577035）.
文摘The advantages of read-only storage is the predominance of optical recording relative to magnetic and other rewritable methods. Multilevel （ML） read-only technology has been a trend to improve the data capacity and transfer rate. Based on the principle and coding method of ML, this paper demonstrates some ML read-only recording methods, of which a new ML read-only recording is developed. This recording method integrates amplitude modulation achieved by the reaction mechanism of physics and chemistry of photoresist with the run-length-limited technology. The discs can be achieved using standard photoresist mastering and replication techniques with great compatibility to conventional binary read-only discs.
基金supported by Foundation for Innovative Research Group of the National Natural Science Foundation of China(No.31121002)
文摘The strict and efficient transcription termination is required to prevent production of aberrant read- through transcripts that may cause transcriptional interference at neighboring genes. However, the exact regulatory mechanism remains poorly understood. Through a genetic screening of a LUCIFERASE （LUC） reporter system, we found that Arabidopsis nucleosome remodeler DECREASE IN DNA METHYL- ATION1 （DDM1） is a key component of this regulatory machinery and plays an important role in tran- scription termination, thus limiting transcriptional read-through （TRT）. By whole-genome strand- specific RNA sequencing, we identified and confirmed 43 endogenous TRTs between genes, transposable elements （TEs）, or genes and TEs in the ddml-10 mutant, which mainly occurred at heterochromatin regions. The DNA methylation analysis of these TRT regions revealed that TRT occurred frequently at the intergenic regions with a higher methylation level in wild type comparing to the regions where TRT did not occur. Our results suggest that the level of intergenic DNA methylation may involve in preventing aberrant gene TRT or producing new gene during evolution.
基金National Natural Science Foundation of China (10120130794)
文摘Based on the six months data set of ARGO-YBJ experiment with analog read-out and its Monte Carlo simulation, we study the difference between different primaries induced showers by using the space-time information of the charged particles in Extensive Air Showers. With five parameters which can efficiently pick out primary proton induced showers as inputs of an artificial neural network, the proton Spectrum from 100 TeV to 10 PeV can be obtained.
