According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierar...According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided.展开更多
为了分析多类支持向量机(Multi-category support vector machines,M-SVMs)的推广性能,对常用的M-SVMs算法加以概述,推导、总结了理论推广误差公式。对于给定的样本集,可以设计合理的编码来提高ECOCSVMs的推广性能,通过构造合理的层次...为了分析多类支持向量机(Multi-category support vector machines,M-SVMs)的推广性能,对常用的M-SVMs算法加以概述,推导、总结了理论推广误差公式。对于给定的样本集,可以设计合理的编码来提高ECOCSVMs的推广性能,通过构造合理的层次结构来提高H-SVMs推广性能,其余M-SVMs算法的推广性能均取决于样本空间。研究结果为有效使用M-SVMs提供了依据,为改进M-SVMs指明了方向。展开更多
With the approach of the second water storage of the Three Gorges Project,urban migration has become a great concern.However,being influenced by economical,social or other factors,ecological problems have apparently b...With the approach of the second water storage of the Three Gorges Project,urban migration has become a great concern.However,being influenced by economical,social or other factors,ecological problems have apparently become pressing.All these problems are exerting great impact upon the speed and quality of new city’s or town’s construction.By means of ecology,urban ecology,landscape ecology,human settlement science as well as the principle of sustainable development,this paper analyzes the ecological problems in urban migration,and the corresponding approaches in order to promote ecological environment construction of new cities and give an impetus to sustainable development of the whole human settlements in the Three Gorges Reservoir Region.展开更多
Lung cancer has been a leading cause of cancer-related mortality in recent years,and early detection can increase patients'chances of recovery.Machine learning and image processing may be used to analyze Computed ...Lung cancer has been a leading cause of cancer-related mortality in recent years,and early detection can increase patients'chances of recovery.Machine learning and image processing may be used to analyze Computed Tomography(CT)scans for signs of lung cancer;by integrating several machine learning models,the accuracy of lung cancer diagnoses can be increased.In this paper,we propose a method that introduces a segmentation algorithm based on Social Spider Optimization(SSO)to detect suspicious regions in the CT image.The proposed method uses a combination of Error Correcting Output Codes(ECOC)and Support Vector Machine(SVM)to classify suspicious regions and diagnose lung cancer.The efficiency has been evaluated and compared with previous works.The results show that the proposed method can diagnose lung cancer with an average accuracy of 96.67%and can be used as an efficient tool for assisting specialists in diagnosing lung cancer.展开更多
Monitoring the operational state of sensors promptly and the accurate diagnosis of faults are essential.This paper proposes an improved fault diagnosis scheme for sensors,which includes both fault detection and fault ...Monitoring the operational state of sensors promptly and the accurate diagnosis of faults are essential.This paper proposes an improved fault diagnosis scheme for sensors,which includes both fault detection and fault identification.Firstly,trend analysis combined with least squares support vector machine(TA-LSSVM)method is proposed and implemented to detect faults.Secondly,an improved error correcting output coding-support vector machine(ECOC-SVM)based fault identification method is proposed to distinguish different sensor failure modes.To demonstrate the effectiveness of the proposed scheme,experiments are conducted with an MTi-series sensor,and some comparisons are made with other fault identification methods.The experimental results demonstrate that the proposed fault diagnosis scheme offers an essential improvement with detection real-time property and better identification accuracy.展开更多
文摘According to basic connotation and design principles of ecocity, a comparatively integrated index system is constructed in the paper. And at the same time using hierarchy grey comprehensive evaluation method, a hierarchy grey comprehensive evaluation model of ecocity is established, then on the basis of the model, a comprehensive evaluation support system is developed, and the theoretical guidance supplied for construction of ecocity is provided.
文摘为了分析多类支持向量机(Multi-category support vector machines,M-SVMs)的推广性能,对常用的M-SVMs算法加以概述,推导、总结了理论推广误差公式。对于给定的样本集,可以设计合理的编码来提高ECOCSVMs的推广性能,通过构造合理的层次结构来提高H-SVMs推广性能,其余M-SVMs算法的推广性能均取决于样本空间。研究结果为有效使用M-SVMs提供了依据,为改进M-SVMs指明了方向。
文摘With the approach of the second water storage of the Three Gorges Project,urban migration has become a great concern.However,being influenced by economical,social or other factors,ecological problems have apparently become pressing.All these problems are exerting great impact upon the speed and quality of new city’s or town’s construction.By means of ecology,urban ecology,landscape ecology,human settlement science as well as the principle of sustainable development,this paper analyzes the ecological problems in urban migration,and the corresponding approaches in order to promote ecological environment construction of new cities and give an impetus to sustainable development of the whole human settlements in the Three Gorges Reservoir Region.
文摘Lung cancer has been a leading cause of cancer-related mortality in recent years,and early detection can increase patients'chances of recovery.Machine learning and image processing may be used to analyze Computed Tomography(CT)scans for signs of lung cancer;by integrating several machine learning models,the accuracy of lung cancer diagnoses can be increased.In this paper,we propose a method that introduces a segmentation algorithm based on Social Spider Optimization(SSO)to detect suspicious regions in the CT image.The proposed method uses a combination of Error Correcting Output Codes(ECOC)and Support Vector Machine(SVM)to classify suspicious regions and diagnose lung cancer.The efficiency has been evaluated and compared with previous works.The results show that the proposed method can diagnose lung cancer with an average accuracy of 96.67%and can be used as an efficient tool for assisting specialists in diagnosing lung cancer.
基金supported in part by the National Natural Science Foundation of China under Grant Nos.61304254,61321002 and 61120106010the Key Exploration Project under Grant No.7131253
文摘Monitoring the operational state of sensors promptly and the accurate diagnosis of faults are essential.This paper proposes an improved fault diagnosis scheme for sensors,which includes both fault detection and fault identification.Firstly,trend analysis combined with least squares support vector machine(TA-LSSVM)method is proposed and implemented to detect faults.Secondly,an improved error correcting output coding-support vector machine(ECOC-SVM)based fault identification method is proposed to distinguish different sensor failure modes.To demonstrate the effectiveness of the proposed scheme,experiments are conducted with an MTi-series sensor,and some comparisons are made with other fault identification methods.The experimental results demonstrate that the proposed fault diagnosis scheme offers an essential improvement with detection real-time property and better identification accuracy.
