The internal control process, which is designed to help an organization accomplish specific control objectives, is one of the most important processes, as it can determine whether or not the organization is in complia...The internal control process, which is designed to help an organization accomplish specific control objectives, is one of the most important processes, as it can determine whether or not the organization is in compliance with its internal or external requirements. Internal controls emerge from different perspectives. Currently, experts view and act on one control perspective at a time, which creates inefficiencies and duplication. This software engineering research is aimed at proposing a multiperspective framework for representing internal controls, in order to obtain a centralized and comprehensive view of all internal control mechanisms. To carry out this research, we also needed to represent the many different stakeholder perspectives of internal controls. Based on a literature review of mathematical and psychological analysis, we searched for the most suitable multiperspective representation of internal controls, and assessed the many representation options using the AHP (analytical hierarchical process) sensitivity analysis approach. This approach has been applied to a study group which has been called to answer to a questionnaire.展开更多
An approach to camera location determination based on the perspective projection geometry of three points is proposed, which is simple and straightforward. No rigid restrictions are placed on the original positional a...An approach to camera location determination based on the perspective projection geometry of three points is proposed, which is simple and straightforward. No rigid restrictions are placed on the original positional and orientational relationships between the camera and the mark. Experimental results verify the feasibility of the proposed approach.展开更多
针对库水位传统量测方法中水尺易锈蚀倾斜,精度低且成本高的问题,该文提出一种不依赖水尺,基于图像匹配的库水位变动识别方法。首先对监控相机拍摄的库坝上游面光学图像进行畸变消除和透视变换,消除相机误差。进一步选取包含水面的感兴...针对库水位传统量测方法中水尺易锈蚀倾斜,精度低且成本高的问题,该文提出一种不依赖水尺,基于图像匹配的库水位变动识别方法。首先对监控相机拍摄的库坝上游面光学图像进行畸变消除和透视变换,消除相机误差。进一步选取包含水面的感兴趣区域(region of interest,ROI)图像进行自适应二值化分割、形态学处理等前处理操作,将水面和库坝特征分离,突出水位线位置。最后,利用归一化互相关匹配算法(normalised cross correlation,NCC)对水位变动前后的两幅图像进行匹配计算,识别水位线变动距离。通过室内试验与现场测试验证上述方法实用性。结果表明:基于图像匹配的库水位动态识别方法可准确识别水位变动,相对误差约为5%,此算法鲁棒性较高。该研究可为库水位自动化、低成本监测提供一种新思路。展开更多
文摘The internal control process, which is designed to help an organization accomplish specific control objectives, is one of the most important processes, as it can determine whether or not the organization is in compliance with its internal or external requirements. Internal controls emerge from different perspectives. Currently, experts view and act on one control perspective at a time, which creates inefficiencies and duplication. This software engineering research is aimed at proposing a multiperspective framework for representing internal controls, in order to obtain a centralized and comprehensive view of all internal control mechanisms. To carry out this research, we also needed to represent the many different stakeholder perspectives of internal controls. Based on a literature review of mathematical and psychological analysis, we searched for the most suitable multiperspective representation of internal controls, and assessed the many representation options using the AHP (analytical hierarchical process) sensitivity analysis approach. This approach has been applied to a study group which has been called to answer to a questionnaire.
文摘An approach to camera location determination based on the perspective projection geometry of three points is proposed, which is simple and straightforward. No rigid restrictions are placed on the original positional and orientational relationships between the camera and the mark. Experimental results verify the feasibility of the proposed approach.
文摘针对库水位传统量测方法中水尺易锈蚀倾斜,精度低且成本高的问题,该文提出一种不依赖水尺,基于图像匹配的库水位变动识别方法。首先对监控相机拍摄的库坝上游面光学图像进行畸变消除和透视变换,消除相机误差。进一步选取包含水面的感兴趣区域(region of interest,ROI)图像进行自适应二值化分割、形态学处理等前处理操作,将水面和库坝特征分离,突出水位线位置。最后,利用归一化互相关匹配算法(normalised cross correlation,NCC)对水位变动前后的两幅图像进行匹配计算,识别水位线变动距离。通过室内试验与现场测试验证上述方法实用性。结果表明:基于图像匹配的库水位动态识别方法可准确识别水位变动,相对误差约为5%,此算法鲁棒性较高。该研究可为库水位自动化、低成本监测提供一种新思路。
