three-dimensional 3d的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

The Essential Book of Embroidery Stitches: Beautiful Hand Embroidery Stitches: 100 + Stitches with Step by Step Photos and Expla

為了解決three-dimensional 3d的問題，作者Kiyo, Hiroko 這樣論述：

Hiroko Kiyo studied French embroidery for many years and founded Atelier Fil in 2004. She specialized in three-dimensional embroidery, regularly makes exhibitions, works as a lecturer at the Culture Center, and teaches in Yoyogi Uehara. She is the author of several books including Flower 3D Embroide

ry, Plump Cute 3D Embroidery, and Beautiful Flowers and Accessories Woven with Three-Dimensional Embroidery.

three-dimensional 3d進入發燒排行的影片

高功率可變出光角光子晶體面射型雷射之特性研究

為了解決three-dimensional 3d的問題，作者陳立人 這樣論述：

本論文旨在研究高功率可變出光角之光子晶體面射型雷射的設計，製作及其光電特性。光子晶體面射型雷射因具備大功率操作及發散角小等特性，近年來頗受矚目，被視為是3D感測，光達，和雷射加工等應用領域的理想光源；研究首先藉由數值模擬計算來探討磊晶結構及光子晶體結構對於雷射閾值及出光效率的影響，進而得到較佳的磊晶結構同時配合不同的光子晶體結構來進行實驗驗證，實驗與模擬的結果均顯示雷射的斜率效率隨著光子晶體結構的對稱性下降而大幅上升，實驗並針對P面向上的結構進行優化，使得光輸出功率進一步提升，同時我們也針對大功率單模操作進行探討。另一方面我們也針對改變鐳射出光角度的機制進行研究以實現光束掃描的新奇雷射結構。

先後評估了主動式的光學相位陣列，主動式光柵結構，雙調變式光子晶體結構以及超穎結構等方式，考量結構整合的便利性及發光效率等因素，我們採用雷射整合表面超穎結構的方式進行設計，超穎結構的設計使用了奈米結構陣列及反向設計兩種方式，在砷化鎵基板上實驗的結果顯示此結構可將雷射光偏轉至設計的角度並且抑制原本垂直方向上的雷射光，此超穎結構結合光子晶體面射型雷射將得到高效率且緊湊的光束偏轉雷射，進一步製作成不同出光角度的陣列並單獨控制即可實現掃描功能，預期此雷射結構在上述的應用領域有著相當大的潛力。

3D Image Reconstruction for CT and Pet: A Practical Guide with Python

為了解決three-dimensional 3d的問題，作者 這樣論述：

This is a practical guide to tomographic image reconstruction with projection data, with strong focus on Computed Tomography (CT) and Positron Emission Tomography (PET). Classic methods such as FBP, ART, SIRT, MLEM and OSEM are presented with modern and compact notation, with the main goal of gui

ding the reader from the comprehension of the mathematical background through a fast-route to real practice and computer implementation of the algorithms. Accompanied by example data sets, real ready-to-run Python toolsets and scripts and an overview the latest research in the field, this guide will

be invaluable for graduate students and early-career researchers and scientists in medical physics and biomedical engineering who are beginners in the field of image reconstruction.A top-down guide from theory to practical implementation of PET and CT reconstruction methods, without sacrificing the

rigor of mathematical backgroundAccompanied by Python source code snippets, suggested exercises, and supplementary ready-to-run examples for readers to download from the CRC Press websiteIdeal for those willing to move their first steps on the real practice of image reconstruction, with modern scie

ntific programming language and toolsetsDaniele Panetta is a researcher at the Institute of Clinical Physiology of the Italian National Research Council (CNR-IFC) in Pisa. He earned his MSc degree in Physics in 2004 and specialisation diploma in Health Physics in 2008, both at the University of Pisa

. From 2005 to 2007, he worked at the Department of Physics E. Fermi of the University of Pisa in the field of tomographic image reconstruction for small animal imaging micro-CT instrumentation. His current research at CNR-IFC has as its goal the identification of novel PET/CT imaging biomarkers for

cardiovascular and metabolic diseases. In the field micro-CT imaging, his interests cover applications of three-dimensional morphometry of biosamples and scaffolds for regenerative medicine. He acts as reviewer for scientific journals in the field of Medical Imaging: Physics in Medicine and Biology

, Medical Physics, Physica Medica, and others. Since 2012, he is adjunct professor in Medical Physics at the University of Pisa.Niccolò Camarlinghi is a researcher at the University of Pisa. He obtained his MSc in Physics in 2007 and his PhD in Applied Physics in 2012. He has been working in the fie

ld of Medical Physics since 2008 and his main research fields are medical image analysis and image reconstruction. He is involved in the development of clinical, pre-clinical PET and hadron therapy monitoring scanners. At the time of writing this book he was a lecturer at University of Pisa, teachin

g courses of life-sciences and medical physics laboratory. He regularly acts as a referee for the following journals: Medical Physics, Physics in Medicine and Biology, Transactions on Medical Imaging, Computers in Biology and Medicine, Physica Medica, EURASIP Journal on Image and Video Processing, J

ournal of Biomedical and Health Informatics.

通過預測嚴重的矽穿孔和凸塊故障來強化三維積體電路電源供應網路

為了解決three-dimensional 3d的問題，作者劉泳儀 這樣論述：

隨著科技進步並延續摩爾定律，三維積體電路設計以減輕二維晶片中的擁擠問題。三維積體電路利用矽穿孔和凸塊來連接不同層的晶片，形成堆疊的技術。然而在三維積體電路製程上，正面臨著各方面的問題與挑戰，例如良率及可靠性低、製造成本高等等。其中，矽穿孔和凸塊在製程中故障會造成電壓及電路的性能下降，嚴重更會導致功能故障。因此，本論文會針對電源矽穿孔和凸塊提出一個強化電源供應網方案，以確保當矽穿孔/凸塊故障時，電壓還是可以維持在可接受的壓降內。首先我們會用機器學習的方式去預測電源矽穿孔/凸塊的重要順序，以得到最差情況的電壓分析結果。然後，對最差情況的壓降利用增加恢復電源矽穿孔及電源條來對電源供應網進行修復，直

到壓降回復到定義的目標電壓。我們採用三個製程的實際電路來來測試我們強化後的電源供應網，分別是TSMC 180奈米、40奈米以及65奈米。實驗結果顯示，我們提出的電源矽穿孔/凸塊錯誤時強化電源供應網方案是有效的。