In the last decade,3D printing,especially fused deposition modeling(FDM),has revolutionized manufacturing with intricate designs.Traditional 3-axis FDM printers face challenges with complex geometries,but 5-axis versi...In the last decade,3D printing,especially fused deposition modeling(FDM),has revolutionized manufacturing with intricate designs.Traditional 3-axis FDM printers face challenges with complex geometries,but 5-axis versions offer more design freedom.However,it requires specialized strategies.This research presents a model for 5-axis FDM printers using Bézier curves with an algorithm to enhance print quality.The result shows significant accuracy improvements,especially for curve-based tasks.In addition,this study deepens the understanding of 5-axis FDM technology,setting a solid basis for further research and potentially refining manufacturing methods.展开更多
为提高嵌入秘密图像的信息量和嵌入后载体图像的质量,在行程编码、菱形编码和DCT域的基础上,提出了基于DCT域的菱形编码图像隐写改进算法。采用菱形编码有效地提高了嵌入率,对JPEG标准化量化表进行了改进,更有利于秘密信息的嵌入。对行...为提高嵌入秘密图像的信息量和嵌入后载体图像的质量,在行程编码、菱形编码和DCT域的基础上,提出了基于DCT域的菱形编码图像隐写改进算法。采用菱形编码有效地提高了嵌入率,对JPEG标准化量化表进行了改进,更有利于秘密信息的嵌入。对行程编码进行了改进,使秘密图像的压缩效率更大。经过与F5隐写算法对比实验表明,F5隐写算法只能嵌入一幅尺寸为64×64的灰度图像,而改进算法能够嵌入一幅尺寸为240×240的灰度图像,且PSNR>30 d B,大大提高了加密信息的嵌入量,并保持了嵌入后载体图像的质量。展开更多
基金supported by the Na-tional Natural Science Foundation of China(Nos.51575266,52075258)。
文摘In the last decade,3D printing,especially fused deposition modeling(FDM),has revolutionized manufacturing with intricate designs.Traditional 3-axis FDM printers face challenges with complex geometries,but 5-axis versions offer more design freedom.However,it requires specialized strategies.This research presents a model for 5-axis FDM printers using Bézier curves with an algorithm to enhance print quality.The result shows significant accuracy improvements,especially for curve-based tasks.In addition,this study deepens the understanding of 5-axis FDM technology,setting a solid basis for further research and potentially refining manufacturing methods.
文摘为提高嵌入秘密图像的信息量和嵌入后载体图像的质量,在行程编码、菱形编码和DCT域的基础上,提出了基于DCT域的菱形编码图像隐写改进算法。采用菱形编码有效地提高了嵌入率,对JPEG标准化量化表进行了改进,更有利于秘密信息的嵌入。对行程编码进行了改进,使秘密图像的压缩效率更大。经过与F5隐写算法对比实验表明,F5隐写算法只能嵌入一幅尺寸为64×64的灰度图像,而改进算法能够嵌入一幅尺寸为240×240的灰度图像,且PSNR>30 d B,大大提高了加密信息的嵌入量,并保持了嵌入后载体图像的质量。
