Borrow to的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和整理懶人包

After Thomas Kuhn: The Structure of Aesthetic Revolutions

為了解決Borrow to的問題，作者Serban, Oana 這樣論述：

This book reflects the most recent research devoted to a systematized perspective and a critical (re)construction of previous theoretical attempts of explaining, justifying and continuing Kuhn’s ingenious hypothesis in arts. Hofstadter, Clignet and Habermas revealed to be the most engaged scholar

s in solving this aesthetic puzzled-problem. In this context, the structural similarities between science and arts are attentively evaluated, thus satisfying an older concern attributed to the historical Kuhn-Kubler dispute, extensively commented along the pages of this book. How can we track the ma

tter of rationality and truth in art and aesthetics, inspired by scientific perspectives? Are artistic styles similar to scientific paradigms? Are we entitled to persuade paradigms and masterpieces as rational models in science, respectively in arts? On what possible grounds can we borrow from scien

ce notions such as progress and predictability, in the study of the evolution of art and its aesthetic backgrounds? Are the historical dynamics of science and art affected by political factors in the same manner? This book will be of interest to philosophers, but also to historians of science and hi

storians of art alike in the reassessment it provides of recent debates on reshaping the art world using Kuhn’s paradigm shift.

Borrow to進入發燒排行的影片

以時序錯誤導向電軌調變技術實現之細緻化電壓調節及其於能耗可調數位系統之應用

為了解決Borrow to的問題，作者陳威仁 這樣論述：

電壓調節技術(voltage scaling)在提高數位系統的能源效益方面具有相當大的潛力。然而，其節能效益在極大程度上受制於系統中穩壓電路之性能。本論文旨在提出一種可打破此限制的基於時序錯誤導向之電源軌調變技術，並以此技術實現細緻化的電壓調節。所提出之技術只需要少數電壓檔位，即可利用電源軌抖動(supply rail voltage dithering)的方式來近似出細緻化電壓調節的效果。因此，所提出之方法可以顯著降低晶片內穩壓電路的設計開銷。由於數位式低壓降線性穩壓器(digital low-dropout regulator, DLDO)具有無縫整合：（一）穩定輸出電壓、（二）電源軌抖

動、以及（三）電源閘控(power gating)等技術之特性，因此本論文利用DLDO來實現所提出之電源軌調變技術。為了精確與快速地實現適用於不同應用場景之DLDO電路，本論文也提出一種具有快速週轉時間的DLDO設計方法，並實際以一高性能DLDO設計為例驗證其效益。實驗結果指出，使用了聯電110奈米製程所製造的DLDO測試晶片展現出3毫伏特的超低漣波、67奈秒的輕載至重載暫態響應及250奈秒的重載至輕載暫態響應。與最先進的DLDO設計相比，該DLDO具有更簡潔的硬體架構且在品質因數(figure of merit)方面展現出高度競爭力。而後，本文以一種基於DLDO的抖動電源 (dithered

power supply)來實現所提出之電源軌調變技術。為了驗證所提出技術之效益，我們使用了一個具有時序錯誤偵測與修正能力之可程式化DSP資料路徑(datapath)作為測試載體。此測試晶片以台積電65奈米低功耗製程實現，而研究結果表明，所提出之電源軌調變技術有助於回收設計階段時留下之保守設計餘裕(design margin)並提高能源效率。量測結果指出，當該DSP資料路徑被程式化為一個無限脈衝響(infinite impulse response)數位濾波器以執行低通濾波時，所提技術之節能效益最高可達30.8%。最後，本論文將所提出之電源軌調變技術應用於即時影像處理系統中並探索其先天的容錯

能力。我們利用人眼視覺可將視訊中相鄰影格及影格中鄰近畫素進行視覺積分的特性，來達到即使不須對時序錯誤進行主動偵測及修正也能維持一定視覺品質的效果。因此，藉由巧妙安排容許時序錯誤發生之位置（藉由降低操作電壓），因時序錯誤所產生的錯誤畫素即可主動被人眼濾除。 該測試晶片以聯電40奈米製程實現，其搭載了一個即時視訊縮放引擎作為測試載具。在實驗結果中，該測試晶片展現了高達35%的節能效益，並能在不需對時序錯誤做出任何修正、且不須更動資料路徑架構的狀況下，仍能維持良好的主觀視覺感受。在五分制的平均主觀意見分數(mean opinion score)評量中，各類型的畫面皆達4分以上。而在客觀評量方面，峰值

信號雜訊比(peak signal-to-noise ratio)皆高於30分貝。

Sew It Yourself with DIY Daisy: 20 Pattern-Free Projects (and Infinite Variations) to Make Your Dream Wardrobe

為了解決Borrow to的問題，作者Braid, Daisy 這樣論述：

It’s time to start sewing with Sew It Yourselfwith DIY Daisy: 20 pattern-free projects (and infinite variations) to make your dream wardrobe. When Daisy Braid started sewing, patterns were out of her budget, so she just started DIYing! Sew It Yourself with DIY Daisy is a colorful, size-inclusive and

inspiring book for sewers of all stages and abilities, beginners included. It includes guides on everything you need to get started (including equipment, materials and basic techniques) and step-by-step projects with clear instructions, photographs and illustrations that will take the scary out of

sewing. Daisy’s designs use simple shapes to create playful, classic and comfortable pieces that can be styled for all occasions, whether that’s a picnic date or a WFH day. The book features 10 small accessory projects and 10 more advanced clothing projects, each with a fun variation (but with poten

tial for endless customization). There’s no standard sizing - just your own body measurements - and no zips or buttons required! They also encourage intentional sewing practices, with projects that produce minimal waste and can even be made with leftover fabric scraps. So get out that sewing machine

(or borrow one from you granny) - Sew It Yourself with DIY Daisy is all you need to get started on discovering (or rediscovering) sewing and creating something one-of-a-kind. Just remember: sewing is self-care, and you make the rules! Daisy Braid grew up in a house with a very DIY mentality (her

dad built the actual house, and her mum was a self-taught chef). She learned to sew as a teenager on her grandmother’s old sewing machine, altering op-shop finds and DIYing new outfits with remnants from her fabulous fashion designer aunt, and wanted to be a fashion designer when she grew up. But se

wing took a back seat until a move to New Zealand in 2016 led her back to fashion. She started working for some local labels and was inspired to get behind the machine again, and DIY Daisy was born: an online platform where Daisy shares her simple, pattern-free sewing creations. Daisy moved to Tokyo

in 2018 and now lives on the Gold Coast, where she also runs craft workshops. Her teaching philosophy is to make sure people enjoy the process of making and creating.

ThermalPose：基於熱影像深度學習人體姿態辨識技術之設計與實現

為了解決Borrow to的問題，作者蔡承翰 這樣論述：

現行的人體姿態辨識方法相當多樣，其中，多數使用RGB相機拍攝高解析度的圖像來取得人體特徵後進行骨幹評估，然而彩色圖像在人體姿態辨識容易受到燈光、環境所影響，導致無法準確的獲得關節點骨架，此外，彩色圖像的相機無法運用於具有隱私之場域，如：醫院、照護中心的廁所或浴室等。目前有許多研究為了達到去特徵化的人體姿態辨識，使用射頻訊號收發器、毫米波雷達等感測器進行人體姿態辨識，然而，這些方法雜訊過高與解析度不足，導致關節點骨架準確度低。本論文提出一種基於熱影像深度學習人體姿態辨識技術，稱為「ThermalPose」，可準確的辨識與追蹤人體關節與骨幹。ThermalPose包含兩個部分:骨幹辨識技術與動作

辨識演算法，骨幹辨識技術以熱像感測器、AI邊緣運算裝置與自蒐集熱影像資料集進行人體姿態辨識；而動作辨識演算法的目標是辨識日常生活中的動作，如:走路、跑步、坐地與彎腰。由實驗結果可證明，ThermalPose可在無RGB相機的情況下有效的使用熱影像辨識人體姿勢，因此可用於低光源與具有個人隱私環境的無人化應用。