I have a special affinity to design of the 60’s. This was the era of modernism, minimal design with an eye towards the future. 60’s sports cars expressed this with smooth rolling sexy feminine curves. The sense of speed was created by a designer’s hand rather than calculated from a computer. Modern sports cars represent speed with harsh lines and angles intersected with ducts and bits of aero highlight technology but very little romance. That’s why I was pleasantly surprised when Ferrari rolled out the all new Roma. A massive departure from their cars of recent past and even their current lineup, Ferrari brought sexy back to their line up and I was excited to get my hands on one.
As I walk around this example in an electric Blue Corsa, everything about this design gets me excited. The overhanging shark nose with a very modern and minimal grill is clean and sharp. The lack of vents or ducts allows the fenders to swoop you up and around it’s narrowed waist leading to more curved haunches that culminate with it’s glorious big, round, squat and firm booty. The purity of this design reminds me of the legendary GTO of the 60’s but also a little bit of the Daytona of the 70’s as well. Either way, the history and lineage of the brand is definitely present in this design.
The interior is characterized by a “dual cockpit design” giving equal space to both driver and passenger. A touch screen display on the passenger side instantly makes the passenger a co driver as they have audio and climate controls as well as driver info like RPM and speed. The dash is made up of a curved 16’ HD screen and can be personalized in various configurations. The steering wheel is all new, with touch controls including the start/stop function. While it is a technological feat, I’m old so I prefer physical buttons that go click. There were a couple times an errant finger had me calling people I had rather not talk to. There are two rear seats in the back that I was able to shoehorn my 7 year old daughter into for a family drive. Overall the interior is a very comfortable yet minimal space in black leather and Alcantara putting the focus on the road in front of you, where it should.
同時也有9部Youtube影片,追蹤數超過17萬的網紅魏巍,也在其Youtube影片中提到,坐在捷運上看到 WIFI 訊號的標示,就拿起 iPad Pro 試著畫出來。沒想到用 Affinity Designer for iPad 這款應用程式來畫不是一件簡單的事情。後來做了很多研究,才知道要怎麼畫。錄成影片分享給大家。我覺得難點有兩個,如何切分跟組合向量線段,如何 outline str...
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Q1 就在亂流不斷的大環境中畫下句點,不過蘋果、Affinity 也都相繼釋出免費試用專案,Adobe 一直以來也提供訂戶臨時減免方案,不失為創意人燃眉之急的替代方法....
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affinity design 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的精選貼文
【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
affinity design 在 魏巍 Youtube 的精選貼文
坐在捷運上看到 WIFI 訊號的標示,就拿起 iPad Pro 試著畫出來。沒想到用 Affinity Designer for iPad 這款應用程式來畫不是一件簡單的事情。後來做了很多研究,才知道要怎麼畫。錄成影片分享給大家。我覺得難點有兩個,如何切分跟組合向量線段,如何 outline stroke。
$$ 訂閱《魏巍》頻道吧~ https://bit.ly/2EIy6Rz
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***** 訂閱魏巍頻道 ***** @@ ***** 跟我一起玩遊戲 *****
***** 還會分享各種有趣的短片** @@ ** 趕快去訂閱吧! *****,
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#AffinityDesigner #DrawingVector #繪圖
affinity design 在 魏巍 Youtube 的最佳解答
這次用我的 iPad Pro 的 Affinity Designer for iPad 這款應用程式來向量繪圖。目標是畫出我從網路上看到的、簡單的骷髏頭。很喜歡這樣簡單風格的插圖,希望我常常這樣照著別人的圖來畫,有一天自己也可以畫出類似畫風的作品。
$$ 訂閱《魏巍》頻道吧~ https://bit.ly/2EIy6Rz
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***** 訂閱魏巍頻道 ***** @@ ***** 跟我一起玩遊戲 *****
***** 還會分享各種有趣的短片** @@ ** 趕快去訂閱吧! *****,
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#Figma #DrawingVector #繪圖
affinity design 在 魏巍 Youtube 的精選貼文
用部落的感覺,在 iPad Pro 上面畫出了豹這個文字。然後把這個文字匯入到電腦中,用 Figma 這個軟體把畫好的圖片變成向量的圖形。本來畫這個圖是要給老婆,因為她喜歡豹,沒想到她覺得這個風格太台... 於是...
$$ 訂閱《魏巍》頻道吧~ https://bit.ly/2EIy6Rz
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***** 訂閱魏巍頻道 ***** @@ ***** 跟我一起玩遊戲 *****
***** 還會分享各種有趣的短片** @@ ** 趕快去訂閱吧! *****,
-----------------------------------------------------------------------------------------------------------------------
#Figma #DrawingVector #繪圖
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