目前,煤矿使用的工程专题地图基本都是CAD制图,高效提取CAD图件中的数据并快速组织成地理信息系统(GIS)服务,进而支持矿井空间对象创建和业务属性扩展,集成安全生产实时数据,是构建煤矿GIS一张图的关键。基于ArcGIS平台将CAD图件转为GI...目前,煤矿使用的工程专题地图基本都是CAD制图,高效提取CAD图件中的数据并快速组织成地理信息系统(GIS)服务,进而支持矿井空间对象创建和业务属性扩展,集成安全生产实时数据,是构建煤矿GIS一张图的关键。基于ArcGIS平台将CAD图件转为GIS服务的方法实现过程较为繁琐,且ArcGIS平台成本较高,无法较好地跨平台运行。针对该问题,设计了一种煤矿GIS一张图快速构建平台。该平台包括CAD图件管理、地图服务发布、专题地图管理3大功能模块:CAD图件管理模块用于图件基础信息管理和状态跟踪,地图服务发布模块用于地图打包发布和在线预览,专题地图管理模块用于地图服务管理、矿井对象创建及属性扩展。基于开放设计联盟(ODA)的Teigha for Java SDK实现CAD图件全要素精确识别与快速准确提取;通过构建基于GIS数据特征的煤矿CAD图件数据分层描述模型,实现了CAD图件全要素数据快速存储;按照面向对象设计思路,开发了Spring Cloud框架下的Web端煤矿CAD图件数据集存储接口及专题地图服务发布平台,实现了煤矿GIS一张图快速构建。以某煤矿采掘工程平面图为例,分别采用传统方法和快速构建平台进行煤矿GIS一张图的构建,对比结果表明,快速构建平台可大幅提高煤矿GIS一张图的构建效率,为煤矿智能化建设提供时空数字底座。展开更多
分析了描述逻辑非标准推理的重要性,特别分析了描述逻辑MSC(Most Specific Concept)推理的研究现状和存在的问题.针对目前描述逻辑MSC推理不能处理n-元存在量词的不足,研究了带n-元存在量词的描述逻辑εL(n)的MSC推理问题.提出了一种新...分析了描述逻辑非标准推理的重要性,特别分析了描述逻辑MSC(Most Specific Concept)推理的研究现状和存在的问题.针对目前描述逻辑MSC推理不能处理n-元存在量词的不足,研究了带n-元存在量词的描述逻辑εL(n)的MSC推理问题.提出了一种新的εL(n)-描述图,利用描述树和描述图给出了描述逻辑εL(n)的MSC近似推理算法,并利用εL(n)-描述树嵌套和εL(n)-描述树描述图同态证明了MSC近似推理算法的正确性.作为一个附带的结果,利用εL(n)-描述树描述图同态给出了εL(n)的实例推理算法,也证明了实例推理算法的正确性.展开更多
Efficient tool condition monitoring techniques help to realize intelligent management of tool life and reduce tool usage costs.In this paper,the influence of different wear degrees of ball-end milling cutters on the t...Efficient tool condition monitoring techniques help to realize intelligent management of tool life and reduce tool usage costs.In this paper,the influence of different wear degrees of ball-end milling cutters on the texture shape of machining tool marks is investigated,and a method is proposed for predicting the wear state(including the position and degree of tool wear)of ball-end milling cutters based on entropy measurement of tool mark texture images.Firstly,data samples are prepared through wear experiments,and the change law of the tool mark texture shape with the tool wear state is analyzed.Then,a two-dimensional sample entropy algorithm is developed to quantify the texture morphology.Finally,the processing parameters and tool attitude are integrated into the prediction process to predict the wear value and wear position of the ball end milling cutter.After testing,the correlation between the predicted value and the standard value of the proposed tool condition monitoring method reaches 95.32%,and the accuracy reaches 82.73%,indicating that the proposed method meets the requirement of tool condition monitoring.展开更多
A novel histogram descriptor for global feature extraction and description was presented. Three elementary primitives for a 2×2 pixel grid were defined. The complex primitives were computed by matrix transforms. ...A novel histogram descriptor for global feature extraction and description was presented. Three elementary primitives for a 2×2 pixel grid were defined. The complex primitives were computed by matrix transforms. These primitives and equivalence class were used for an image to compute the feature image that consisted of three elementary primitives. Histogram was used for the transformed image to extract and describe the features. Furthermore, comparisons were made among the novel histogram descriptor, the gray histogram and the edge histogram with regard to feature vector dimension and retrieval performance. The experimental results show that the novel histogram can not only reduce the effect of noise and illumination change, but also compute the feature vector of lower dimension. Furthermore, the system using the novel histogram has better retrieval performance.展开更多
Based on the Fourier transform, a new shape descriptor was proposed to represent the flame image. By employing the shape descriptor as the input, the flame image recognition was studied by the methods of the artificia...Based on the Fourier transform, a new shape descriptor was proposed to represent the flame image. By employing the shape descriptor as the input, the flame image recognition was studied by the methods of the artificial neural network(ANN) and the support vector machine(SVM) respectively. And the recognition experiments were carried out by using flame image data sampled from an alumina rotary kiln to evaluate their effectiveness. The results show that the two recognition methods can achieve good results, which verify the effectiveness of the shape descriptor. The highest recognition rate is 88.83% for SVM and 87.38% for ANN, which means that the performance of the SVM is better than that of the ANN.展开更多
This paper proposed a novel multi-view interactive behavior recognition method based on local self-similarity descriptors and graph shared multi-task learning. First, we proposed the composite interactive feature repr...This paper proposed a novel multi-view interactive behavior recognition method based on local self-similarity descriptors and graph shared multi-task learning. First, we proposed the composite interactive feature representation which encodes both the spatial distribution of local motion of interest points and their contexts. Furthermore, local self-similarity descriptor represented by temporal-pyramid bag of words(BOW) was applied to decreasing the influence of observation angle change on recognition and retaining the temporal information. For the purpose of exploring latent correlation between different interactive behaviors from different views and retaining specific information of each behaviors, graph shared multi-task learning was used to learn the corresponding interactive behavior recognition model. Experiment results showed the effectiveness of the proposed method in comparison with other state-of-the-art methods on the public databases CASIA, i3Dpose dataset and self-built database for interactive behavior recognition.展开更多
文摘目前,煤矿使用的工程专题地图基本都是CAD制图,高效提取CAD图件中的数据并快速组织成地理信息系统(GIS)服务,进而支持矿井空间对象创建和业务属性扩展,集成安全生产实时数据,是构建煤矿GIS一张图的关键。基于ArcGIS平台将CAD图件转为GIS服务的方法实现过程较为繁琐,且ArcGIS平台成本较高,无法较好地跨平台运行。针对该问题,设计了一种煤矿GIS一张图快速构建平台。该平台包括CAD图件管理、地图服务发布、专题地图管理3大功能模块:CAD图件管理模块用于图件基础信息管理和状态跟踪,地图服务发布模块用于地图打包发布和在线预览,专题地图管理模块用于地图服务管理、矿井对象创建及属性扩展。基于开放设计联盟(ODA)的Teigha for Java SDK实现CAD图件全要素精确识别与快速准确提取;通过构建基于GIS数据特征的煤矿CAD图件数据分层描述模型,实现了CAD图件全要素数据快速存储;按照面向对象设计思路,开发了Spring Cloud框架下的Web端煤矿CAD图件数据集存储接口及专题地图服务发布平台,实现了煤矿GIS一张图快速构建。以某煤矿采掘工程平面图为例,分别采用传统方法和快速构建平台进行煤矿GIS一张图的构建,对比结果表明,快速构建平台可大幅提高煤矿GIS一张图的构建效率,为煤矿智能化建设提供时空数字底座。
文摘分析了描述逻辑非标准推理的重要性,特别分析了描述逻辑MSC(Most Specific Concept)推理的研究现状和存在的问题.针对目前描述逻辑MSC推理不能处理n-元存在量词的不足,研究了带n-元存在量词的描述逻辑εL(n)的MSC推理问题.提出了一种新的εL(n)-描述图,利用描述树和描述图给出了描述逻辑εL(n)的MSC近似推理算法,并利用εL(n)-描述树嵌套和εL(n)-描述树描述图同态证明了MSC近似推理算法的正确性.作为一个附带的结果,利用εL(n)-描述树描述图同态给出了εL(n)的实例推理算法,也证明了实例推理算法的正确性.
基金Project(51975169)supported by the National Natural Science Foundation of ChinaProject(LH2022E085)supported by the Natural Science Foundation of Heilongjiang Province,China。
文摘Efficient tool condition monitoring techniques help to realize intelligent management of tool life and reduce tool usage costs.In this paper,the influence of different wear degrees of ball-end milling cutters on the texture shape of machining tool marks is investigated,and a method is proposed for predicting the wear state(including the position and degree of tool wear)of ball-end milling cutters based on entropy measurement of tool mark texture images.Firstly,data samples are prepared through wear experiments,and the change law of the tool mark texture shape with the tool wear state is analyzed.Then,a two-dimensional sample entropy algorithm is developed to quantify the texture morphology.Finally,the processing parameters and tool attitude are integrated into the prediction process to predict the wear value and wear position of the ball end milling cutter.After testing,the correlation between the predicted value and the standard value of the proposed tool condition monitoring method reaches 95.32%,and the accuracy reaches 82.73%,indicating that the proposed method meets the requirement of tool condition monitoring.
基金Project(60873010) supported by the National Natural Science Foundation of ChinaProjects(N090504005, N090604012, N090104001) supported by the Fundamental Research Funds for the Central UniversitiesProject(NCET-05-0288) supported by Program for New Century Excellent Talents in University
文摘A novel histogram descriptor for global feature extraction and description was presented. Three elementary primitives for a 2×2 pixel grid were defined. The complex primitives were computed by matrix transforms. These primitives and equivalence class were used for an image to compute the feature image that consisted of three elementary primitives. Histogram was used for the transformed image to extract and describe the features. Furthermore, comparisons were made among the novel histogram descriptor, the gray histogram and the edge histogram with regard to feature vector dimension and retrieval performance. The experimental results show that the novel histogram can not only reduce the effect of noise and illumination change, but also compute the feature vector of lower dimension. Furthermore, the system using the novel histogram has better retrieval performance.
基金Project(60634020) supported by the National Natural Science Foundation of China
文摘Based on the Fourier transform, a new shape descriptor was proposed to represent the flame image. By employing the shape descriptor as the input, the flame image recognition was studied by the methods of the artificial neural network(ANN) and the support vector machine(SVM) respectively. And the recognition experiments were carried out by using flame image data sampled from an alumina rotary kiln to evaluate their effectiveness. The results show that the two recognition methods can achieve good results, which verify the effectiveness of the shape descriptor. The highest recognition rate is 88.83% for SVM and 87.38% for ANN, which means that the performance of the SVM is better than that of the ANN.
基金Project(51678075)supported by the National Natural Science Foundation of ChinaProject(2017GK2271)supported by Hunan Provincial Science and Technology Department,China
文摘This paper proposed a novel multi-view interactive behavior recognition method based on local self-similarity descriptors and graph shared multi-task learning. First, we proposed the composite interactive feature representation which encodes both the spatial distribution of local motion of interest points and their contexts. Furthermore, local self-similarity descriptor represented by temporal-pyramid bag of words(BOW) was applied to decreasing the influence of observation angle change on recognition and retaining the temporal information. For the purpose of exploring latent correlation between different interactive behaviors from different views and retaining specific information of each behaviors, graph shared multi-task learning was used to learn the corresponding interactive behavior recognition model. Experiment results showed the effectiveness of the proposed method in comparison with other state-of-the-art methods on the public databases CASIA, i3Dpose dataset and self-built database for interactive behavior recognition.
