In the construction of cast-in-place bridge deck of prefabricated I-beam by pretension folding line method, I-beam is used as the main stress support, well-shaped support is used on the inner side, triangular stable s...In the construction of cast-in-place bridge deck of prefabricated I-beam by pretension folding line method, I-beam is used as the main stress support, well-shaped support is used on the inner side, triangular stable support is used on the outer side, temporary support and installation formwork are erected through walking operation platform, steel bar binding and cast-in-place concrete deck construction are carried out on the upper part of I-beam and formwork, the deck thickness is only 20cm, which meets the vehicle load requirements of city -A grade bridge BZZ-100 and reduces the dead weight of the structure. Compared with the common full framing, the framing used in the construction is convenient in construction, material-saving, simple in process and short in construction time. I-beam construction adopts factory processing and production. Formwork is uniformly made of shaped steel formwork. The prefabricated members have a beautiful appearance. Prestressing is installed and tensioned in advance to ensure the straightness of the prestressing and the accuracy of the position. The overall structure of the I-beam is light in weight, and the total amount of concrete used is small. Under the condition of reducing the dead weight of each span and ensuring the stress stability, the amount of concrete used is reduced, which is beneficial to environmental protection and material conservation. In terms of formwork support system, the support form of this process is easy to build, less material is used and the construction speed is fast. And the binding of the steel bars can be completed in a short time. In the concrete pouring project, the pouring speed is fast and the construction is simple.展开更多
Resorting to cubic spline function instead of parametric spline representation, an explicit fairness indicator and an efficient fairing algorithm for 2D curves are presented. The input point sequence is firstly partit...Resorting to cubic spline function instead of parametric spline representation, an explicit fairness indicator and an efficient fairing algorithm for 2D curves are presented. The input point sequence is firstly partitioned into several overlapped function segments. For each segment, a cubic spline function is used as the representation tool which entails a polyline approximation of curvature plot. Based on the extrinsic relationship between the polyline and the positions of data points, a coarse-to-fine faring method is proposed which efficiently identifies and eliminates the unnecessary inflection points. Our algorithm generates the best results to date, which is validated by numerous practical examples.展开更多
We present an automatic kidney segmentation method using ultrasound images.This method employs a coarse-to-fine approach to tackle the challenge of unclear and fuzzy boundaries.Four key innovations are introduced to e...We present an automatic kidney segmentation method using ultrasound images.This method employs a coarse-to-fine approach to tackle the challenge of unclear and fuzzy boundaries.Four key innovations are introduced to enhance the segmentation process’s accuracy and efficiency.First,an automatic deep fusion training network serves as a coarse segmentation strategy.Second,we propose an explainable mathematical mapping formula to better represent the kidney contour.Third,by utilizing the characteristics of the principal curve,a neural network automatically refines curve shapes,thus reducing model errors.Finally,we employ an intelligent searching polyline segment method for automatic kidney contour segmentation.The results show that our method achieves high accuracy and stability in segmenting kidney ultrasound images.This work’s contributions include the deep fusion training network,intelligent searching polyline segment method,and explainable mathematical mapping formula,which are applicable to other medical image segmentation tasks.Additionally,this approach uses a mean-shift clustering model,supplanting standard projection and vertex optimization steps.展开更多
文摘In the construction of cast-in-place bridge deck of prefabricated I-beam by pretension folding line method, I-beam is used as the main stress support, well-shaped support is used on the inner side, triangular stable support is used on the outer side, temporary support and installation formwork are erected through walking operation platform, steel bar binding and cast-in-place concrete deck construction are carried out on the upper part of I-beam and formwork, the deck thickness is only 20cm, which meets the vehicle load requirements of city -A grade bridge BZZ-100 and reduces the dead weight of the structure. Compared with the common full framing, the framing used in the construction is convenient in construction, material-saving, simple in process and short in construction time. I-beam construction adopts factory processing and production. Formwork is uniformly made of shaped steel formwork. The prefabricated members have a beautiful appearance. Prestressing is installed and tensioned in advance to ensure the straightness of the prestressing and the accuracy of the position. The overall structure of the I-beam is light in weight, and the total amount of concrete used is small. Under the condition of reducing the dead weight of each span and ensuring the stress stability, the amount of concrete used is reduced, which is beneficial to environmental protection and material conservation. In terms of formwork support system, the support form of this process is easy to build, less material is used and the construction speed is fast. And the binding of the steel bars can be completed in a short time. In the concrete pouring project, the pouring speed is fast and the construction is simple.
基金Supported by the National Natural Science Foundation of China(61222206,11526212)
文摘Resorting to cubic spline function instead of parametric spline representation, an explicit fairness indicator and an efficient fairing algorithm for 2D curves are presented. The input point sequence is firstly partitioned into several overlapped function segments. For each segment, a cubic spline function is used as the representation tool which entails a polyline approximation of curvature plot. Based on the extrinsic relationship between the polyline and the positions of data points, a coarse-to-fine faring method is proposed which efficiently identifies and eliminates the unnecessary inflection points. Our algorithm generates the best results to date, which is validated by numerous practical examples.
基金supported by the China Postdoctoral Science Foundation(No.2023M742568)the China Social Development Plan of Taizhou(No.TN202110)。
文摘We present an automatic kidney segmentation method using ultrasound images.This method employs a coarse-to-fine approach to tackle the challenge of unclear and fuzzy boundaries.Four key innovations are introduced to enhance the segmentation process’s accuracy and efficiency.First,an automatic deep fusion training network serves as a coarse segmentation strategy.Second,we propose an explainable mathematical mapping formula to better represent the kidney contour.Third,by utilizing the characteristics of the principal curve,a neural network automatically refines curve shapes,thus reducing model errors.Finally,we employ an intelligent searching polyline segment method for automatic kidney contour segmentation.The results show that our method achieves high accuracy and stability in segmenting kidney ultrasound images.This work’s contributions include the deep fusion training network,intelligent searching polyline segment method,and explainable mathematical mapping formula,which are applicable to other medical image segmentation tasks.Additionally,this approach uses a mean-shift clustering model,supplanting standard projection and vertex optimization steps.
