With the modernization of machine learning techniques in healthcare,different innovations including support vector machine(SVM)have predominantly played a major role in classifying lung cancer,predicting coronavirus d...With the modernization of machine learning techniques in healthcare,different innovations including support vector machine(SVM)have predominantly played a major role in classifying lung cancer,predicting coronavirus disease 2019,and other diseases.In particular,our algorithm focuses on integrated datasets as compared with other existing works.In this study,parallel-based SVM(P-SVM)andmulticlass-basedmultiple submodels(MMSM-SVM)were used to analyze the optimal classification of lung diseases.This analysis aimed to find the optimal classification of lung diseases with id and stages,such as key-value pairs in MapReduce combined with P-SVM and MMSVM for binary and multiclasses,respectively.For nonlinear classification,kernel clustering-based SVM embedded with multiple submodels was developed.Both algorithms were developed using Apache spark environment,and data for the analysis were retrieved from microscope lab,UCI,Kaggle,and General Thoracic surgery database along with some electronic health records related to various lung diseases to increase the dataset size to 5 GB.Performance measures were conducted using a 5 GB dataset with five nodes.Dataset size was finally increased,and task analysis and CPU utilization were measured.展开更多
In this paper the making of homeostatic models of the bioenergetic informational acupunctural human’s system of the “Pentacube” and the “Hexagon” according to the Wu Xing rules and energy shifts dynamics is consi...In this paper the making of homeostatic models of the bioenergetic informational acupunctural human’s system of the “Pentacube” and the “Hexagon” according to the Wu Xing rules and energy shifts dynamics is considering. The making of the meridional homeostatic model of the bioenergetic informational acupunctural human’s system based on the existing knowledges about the human body meridians is considering. Preference to choice of the homeostatic functional models of the human body organs energies interaction is substantiated. The meridional control submodel of homeostatic system is defined and constructed. The description of control submodel, perspectives of application and development are represented.展开更多
Runyang Suspension Bridge (RSB) with the main span of 1490 m is the longest bridge in China and the third longest one in the world. In this bridge the rigid central buckle is employed for the first time in the mid-spa...Runyang Suspension Bridge (RSB) with the main span of 1490 m is the longest bridge in China and the third longest one in the world. In this bridge the rigid central buckle is employed for the first time in the mid-span of the suspension bridge in China. For such a super-long-span bridge, the traditional finite element (FE) modeling technique and stress analysis methods obviously cannot satisfy the needs of conducting accurate stress analysis on the central buckle. In this paper, the submodel method is in- troduced and for the first time used in analyzing the stresses of the central buckle. After an accurate FE submodel of the central buckle was specially established according to the analysis results from the whole FE model, the connection technique between the two-scale FE models was realized and the ac- curate stresses of the central buckle under various vehicle load cases were then conducted based on the submodel method. The calculation results were testified to be accurate and reliable by the field measurements, which show the efficiency and reliability of the submodel method on analyzing the mechanical condition of the central buckle of long-span suspension bridges. Finally, the working be- havior and mechanical characteristics of the central buckle of the RSB under vehicle loads were ana- lyzed based on the calculation and measurement results. The results obtained in this paper can provide theoretic references for analyzing and designing the rigid central buckle in long-span suspension bridges in future.展开更多
In this study,the substructure formation in a multi-pass rolled aluminium single crystal{001}<110>was investigated by the crystal plasticity finite element model,and the predations were validated by experimental...In this study,the substructure formation in a multi-pass rolled aluminium single crystal{001}<110>was investigated by the crystal plasticity finite element model,and the predations were validated by experimental observations at both macro-and micro-scale.A finite element model for multi-pass rolling was developed to follow the real experimental rolling scheme,by which the through-thickness macroscopic subdivision was successfully predicted up to a 90%reduction.The macro-subdivision was featured by forming matrix bands through the thickness,and the deformation behaviours,in terms of slip activity,shear strain and crystal rotation,alternated between matrix bands.The development of matrix bands,stability of crystal orientations,and correlation between slip activity,shear strain and crystal rotation have been investigated.Another modelling method,Submodel,was used to exceedingly increase the mesh resolution in smaller regions of interest,and the experimentally observed microstructure,i.e.,micro-subdivision was explicitly and spatially revealed.Similar predictions were obtained in Submodels with different element sizes,which proves the feasibility of this method in predicting microstructure formation.It was found that the substructure formation by varying slip activity and crystal rotation between domains is energy favourable.The procedure of substructure formation was explained based on the predictions,three types of substructure have been identified,and the substructure formation was discussed.展开更多
基金This study is supported by the Tamil Nadu State Council of Science and Technology.
文摘With the modernization of machine learning techniques in healthcare,different innovations including support vector machine(SVM)have predominantly played a major role in classifying lung cancer,predicting coronavirus disease 2019,and other diseases.In particular,our algorithm focuses on integrated datasets as compared with other existing works.In this study,parallel-based SVM(P-SVM)andmulticlass-basedmultiple submodels(MMSM-SVM)were used to analyze the optimal classification of lung diseases.This analysis aimed to find the optimal classification of lung diseases with id and stages,such as key-value pairs in MapReduce combined with P-SVM and MMSVM for binary and multiclasses,respectively.For nonlinear classification,kernel clustering-based SVM embedded with multiple submodels was developed.Both algorithms were developed using Apache spark environment,and data for the analysis were retrieved from microscope lab,UCI,Kaggle,and General Thoracic surgery database along with some electronic health records related to various lung diseases to increase the dataset size to 5 GB.Performance measures were conducted using a 5 GB dataset with five nodes.Dataset size was finally increased,and task analysis and CPU utilization were measured.
文摘In this paper the making of homeostatic models of the bioenergetic informational acupunctural human’s system of the “Pentacube” and the “Hexagon” according to the Wu Xing rules and energy shifts dynamics is considering. The making of the meridional homeostatic model of the bioenergetic informational acupunctural human’s system based on the existing knowledges about the human body meridians is considering. Preference to choice of the homeostatic functional models of the human body organs energies interaction is substantiated. The meridional control submodel of homeostatic system is defined and constructed. The description of control submodel, perspectives of application and development are represented.
基金Supported by the National High Technology Research and Development Program ("863" Project) (Grant No. 2006AA04Z416)the Key Project of the National Natural Science Foundation of China (Grant No. 50538020)+1 种基金the National Natural Science Foundation of China for Young Scholars (Grant No. 50608017) the Ph.D. Pro-grams Foundation of Ministry of Education of China (Grant No. 200802861012)
文摘Runyang Suspension Bridge (RSB) with the main span of 1490 m is the longest bridge in China and the third longest one in the world. In this bridge the rigid central buckle is employed for the first time in the mid-span of the suspension bridge in China. For such a super-long-span bridge, the traditional finite element (FE) modeling technique and stress analysis methods obviously cannot satisfy the needs of conducting accurate stress analysis on the central buckle. In this paper, the submodel method is in- troduced and for the first time used in analyzing the stresses of the central buckle. After an accurate FE submodel of the central buckle was specially established according to the analysis results from the whole FE model, the connection technique between the two-scale FE models was realized and the ac- curate stresses of the central buckle under various vehicle load cases were then conducted based on the submodel method. The calculation results were testified to be accurate and reliable by the field measurements, which show the efficiency and reliability of the submodel method on analyzing the mechanical condition of the central buckle of long-span suspension bridges. Finally, the working be- havior and mechanical characteristics of the central buckle of the RSB under vehicle loads were ana- lyzed based on the calculation and measurement results. The results obtained in this paper can provide theoretic references for analyzing and designing the rigid central buckle in long-span suspension bridges in future.
基金Australian Research Council Discovery Project(DP170103092)。
文摘In this study,the substructure formation in a multi-pass rolled aluminium single crystal{001}<110>was investigated by the crystal plasticity finite element model,and the predations were validated by experimental observations at both macro-and micro-scale.A finite element model for multi-pass rolling was developed to follow the real experimental rolling scheme,by which the through-thickness macroscopic subdivision was successfully predicted up to a 90%reduction.The macro-subdivision was featured by forming matrix bands through the thickness,and the deformation behaviours,in terms of slip activity,shear strain and crystal rotation,alternated between matrix bands.The development of matrix bands,stability of crystal orientations,and correlation between slip activity,shear strain and crystal rotation have been investigated.Another modelling method,Submodel,was used to exceedingly increase the mesh resolution in smaller regions of interest,and the experimentally observed microstructure,i.e.,micro-subdivision was explicitly and spatially revealed.Similar predictions were obtained in Submodels with different element sizes,which proves the feasibility of this method in predicting microstructure formation.It was found that the substructure formation by varying slip activity and crystal rotation between domains is energy favourable.The procedure of substructure formation was explained based on the predictions,three types of substructure have been identified,and the substructure formation was discussed.