摘要 :
A dynamic task distribution and scheduling technology of a message middleware for parallel data delivery on massive database systems is presented. The techniques of computer cluster and parallel processing are used to implement th...
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A dynamic task distribution and scheduling technology of a message middleware for parallel data delivery on massive database systems is presented. The techniques of computer cluster and parallel processing are used to implement the task definition and distribution, processor scheduling, parallel data delivery for massive different structure databases. It implements the massive data parallel exchange between isomerism databases on a large-scale network and multi layer networks, with the method of database synchronization mechanism, configuration technique.
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摘要 :
Atomic clock frequency difference prediction is the key step in atomic clock time scale calculation and atomic clock control. Precise prediction algorithm can accurately predict the future operation state of atomic clock which can...
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Atomic clock frequency difference prediction is the key step in atomic clock time scale calculation and atomic clock control. Precise prediction algorithm can accurately predict the future operation state of atomic clock which can be used to improve the accuracy of atomic time. In order to further improve the prediction accuracy of atomic clock frequency difference,a genetic wavelet neural network (GAWNN) atomic clock frequency difference prediction algorithm is proposed in this paper, which is based on wavelet neural network (WNN) atomic clock frequency difference prediction algorithm. The genetic algorithm is used to optimize the wavelet neural network so as to select the appropriate number of hidden layers and the number of training points to construct the atomic clock frequency difference prediction model. In this paper, the algorithm is validated by the hydrogen clock and cesium clock actual frequency difference data of the National Institute of Metrology, and the results show that the algorithm improves the prediction accuracy of hydrogen clock and cesium clock frequency difference data.
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摘要 :
Atomic clock frequency difference prediction is the key step in atomic clock time scale calculation and atomic clock control. Precise prediction algorithm can accurately predict the future operation state of atomic clock which can...
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Atomic clock frequency difference prediction is the key step in atomic clock time scale calculation and atomic clock control. Precise prediction algorithm can accurately predict the future operation state of atomic clock which can be used to improve the accuracy of atomic time. In order to further improve the prediction accuracy of atomic clock frequency difference, a genetic wavelet neural network (GAWNN) atomic clock frequency difference prediction algorithm is proposed in this paper, which is based on wavelet neural network (WNN) atomic clock frequency difference prediction algorithm. The genetic algorithm is used to optimize the wavelet neural network so as to select the appropriate number of hidden layers and the number of training points to construct the atomic clock frequency difference prediction model. In this paper, the algorithm is validated by the hydrogen clock and cesium clock actual frequency difference data of the National Institute of Metrology, and the results show that the algorithm improves the prediction accuracy of hydrogen clock and cesium clock frequency difference data.
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摘要 :
Atomic clock frequency difference prediction is the key step in atomic clock time scale calculation and atomic clock control. Precise prediction algorithm can accurately predict the future operation state of atomic clock which can...
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Atomic clock frequency difference prediction is the key step in atomic clock time scale calculation and atomic clock control. Precise prediction algorithm can accurately predict the future operation state of atomic clock which can be used to improve the accuracy of atomic time. In order to further improve the prediction accuracy of atomic clock frequency difference, a genetic wavelet neural network (GAWNN) atomic clock frequency difference prediction algorithm is proposed in this paper, which is based on wavelet neural network (WNN) atomic clock frequency difference prediction algorithm. The genetic algorithm is used to optimize the wavelet neural network so as to select the appropriate number of hidden layers and the number of training points to construct the atomic clock frequency difference prediction model. In this paper, the algorithm is validated by the hydrogen clock and cesium clock actual frequency difference data of the National Institute of Metrology, and the results show that the algorithm improves the prediction accuracy of hydrogen clock and cesium clock frequency difference data.
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摘要 :
Angle iron is embedded in the level lime gap which is in the wall upon the hole to be opened. They work together with the upper wall well and upper load is borne effectively. Arching principle of wrapping angle iron method is carr...
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Angle iron is embedded in the level lime gap which is in the wall upon the hole to be opened. They work together with the upper wall well and upper load is borne effectively. Arching principle of wrapping angle iron method is carried out firstly and then its advantage is obtained by comparing the other different reinforcement-rehabilitation methods. Construction plan of wrapping angle iron method is presented at last. The method has been applied in a true project and designer can reference the method for similar project.
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摘要 :
Angle iron is embedded in the level lime gap which is in the wall upon the hole to be opened. They work together with the upper wall well and upper load is borne effectively. Arching principle of wrapping angle iron method is carr...
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Angle iron is embedded in the level lime gap which is in the wall upon the hole to be opened. They work together with the upper wall well and upper load is borne effectively. Arching principle of wrapping angle iron method is carried out firstly and then its advantage is obtained by comparing the other different reinforcement-rehabilitation methods. Construction plan of wrapping angle iron method is presented at last. The method has been applied in a true project and designer can reference the method for similar project.
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摘要 :
Angle iron is embedded in the level lime gap which is in the wall upon the hole to be opened. They work together with the upper wall well and upper load is borne effectively. Arching principle of wrapping angle iron method is carr...
展开
Angle iron is embedded in the level lime gap which is in the wall upon the hole to be opened. They work together with the upper wall well and upper load is borne effectively. Arching principle of wrapping angle iron method is carried out firstly and then its advantage is obtained by comparing the other different reinforcement-rehabilitation methods. Construction plan of wrapping angle iron method is presented at last. The method has been applied in a true project and designer can reference the method for similar project.
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摘要 :
Reinforced concrete frame joints (RCFJ) under(after) fire are analyzed by ABAQUS. Joints are heated under dead load by ABAQUS. Subroutines mtemp was programmed to record the highest temperature which nodes experienced. Then the hi...
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Reinforced concrete frame joints (RCFJ) under(after) fire are analyzed by ABAQUS. Joints are heated under dead load by ABAQUS. Subroutines mtemp was programmed to record the highest temperature which nodes experienced. Then the highest temperatures will be put to joints as predefined temperature field by subroutines utemp after high temperature. Load is applied by displacement control. Material's nonlinearity and the bond-slip between reinforced and concrete are both considered. The stress distribution of joints' core is accurately analyzed after unit-choose and meshing precisely. seismic performance of RCFJ are analyzed under statically cyclic load, which is in accordance with experimental results.
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摘要 :
Reinforced concrete frame joints (RCFJ) under (after) fire are analyzed by ABAQUS. Joints are heated under dead load by ABAQUS. Subroutines mtemp was programmed to record the highest temperature which nodes experienced. Then the h...
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Reinforced concrete frame joints (RCFJ) under (after) fire are analyzed by ABAQUS. Joints are heated under dead load by ABAQUS. Subroutines mtemp was programmed to record the highest temperature which nodes experienced. Then the highest temperatures will be put to joints as predefined temperature field by subroutines utemp after high temperature. Load is applied by displacement control. Material's nonlinearity and the bond-slip between reinforced and concrete are both considered. The stress distribution of joints' core is accurately analyzed after unit-choose and meshing precisely, seismic performance of RCFJ are analyzed under statically cyclic load, which is in accordance with experimental results.
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摘要 :
Reinforced concrete frame joints (RCFJ) under(after) fire are analyzed by ABAQUS. Joints are heated under dead load by ABAQUS. Subroutines mtemp was programmed to record the highest temperature which nodes experienced. Then the hi...
展开
Reinforced concrete frame joints (RCFJ) under(after) fire are analyzed by ABAQUS. Joints are heated under dead load by ABAQUS. Subroutines mtemp was programmed to record the highest temperature which nodes experienced. Then the highest temperatures will be put to joints as predefined temperature field by subroutines utemp after high temperature. Load is applied by displacement control. Material's nonlinearity and the bond-slip between reinforced and concrete are both considered. The stress distribution of joints' core is accurately analyzed after unit-choose and meshing precisely. seismic performance of RCFJ are analyzed under statically cyclic load, which is in accordance with experimental results.
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