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2021-03-10 19:35:00 有 5 人按讚

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design an algorithm 在國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文

By 國立陽明交通大學電子工程學系及電子研究所

2020-01-02 09:37:42 有 5 人按讚

交通大學IBM中心特別邀請到ECE Department at New York University 的 Prof. H. Jonathan Chao 前來為我們演講，歡迎有興趣的老師與同學免費報名參加！

演講標題：CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
演講者：Prof. H. Jonathan Chao (ECE Department at New York University)
時間：2020/01/20(一) 15:00 ~ 17:00
地點：交大工程四館816室
活動報名網址：https://forms.gle/k5txEfTX6jM7PBR98
聯絡方式：曾紫玲 Tel：03-5712121分機54599 Email：tzuling@nctu.edu.tw

Abstract:
Traffic Engineering (TE) is one of important network features for Software-Defined Networking (SDN) with an aim to help Internet Service Providers (ISPs) optimize network performance and resource utilization by configuring the routing across their backbone networks. Although TE solutions can achieve the optimal or near-optimal performance by rerouting as many flows as possible, they do not usually consider the negative impact, such as packet out of order, when frequently rerouting flows in the network. To mitigate the impact of network disturbance, one promising TE solution is forwarding the majority of traffic flows using Equal-Cost Multi-Path (ECMP) and selectively rerouting a few critical flows using SDN to balance link utilization of the network. However, critical flow rerouting is not trivial because the solution space for critical flow selection is immense. Moreover, it is impossible to design a heuristic algorithm for this problem based on fixed and simple rules, since rule-based heuristics are unable to adapt to the changes of the traffic matrix and network dynamics. In this talk, we describe a Reinforcement Learning (RL)-based scheme, called CFR-RL, that learns a policy to select critical flows for each given traffic matrix automatically. It then reroutes these selected critical flows to balance link utilization of the network by formulating and solving a simple Linear Programming (LP) problem. Extensive evaluations show that CFR-RL outperforms the best heuristic by 7.4% - 12.2% and reroutes only 10% - 21.3% of total traffic.

Biography:
H. Jonathan Chao is Professor of Electrical and Computer Engineering (ECE) at NYU, where he joined in January 1992. He is currently Director of High-Speed Networking Lab. He was Head of ECE Department from 2004-2014. He has been doing research in the areas of software defined networking, network function virtualization, datacenter networks, packet processing and switching, network security, and machine learning for networking. He holds 63 patents and has published more than 265 journal and conference papers. During 2000–2001, he was Co-Founder and CTO of Coree Networks, NJ, where he led a team to implement a multi-terabit router with carrier-class reliability. From 1985 to 1992, he was a Member of Technical Staff at Bellcore, where he was involved in network architecture designs and ASIC implementations, such as the world’s first SONET-like Framer chip, ATM Layer chip, Sequencer chip (the first chip handling packet scheduling), and ATM switch chip. He is a Fellow of National Academy of Inventors (NAI) for “having demonstrated a highly prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development, and the welfare of society.” He is a Fellow of the IEEE for his contributions to the architecture and application of VLSI circuits in high-speed packet networks. He received Bellcore Excellence Award in 1987. He is a co-recipient of the 2001 Best Paper Award from the IEEE Transaction on Circuits and Systems for Video Technology. He coauthored three networking books. He worked for Telecommunication Lab in Taiwan from 1977 to 1981. He received his B.S. and M.S. degrees in electronics engineering from National Chiao Tung University, Taiwan, in 1977 and 1980, respectively, and his Ph.D. degree in electrical engineering from The Ohio State University in 1985.

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國立陽明交通大學電子工程學系及電子研究所

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國立交通大學於2021年2月1日與國立陽明大學合校為國立陽明交通大學。國立交通大學源自西元1896年創立之南洋公學，百餘年來以培養我國應用科學人才著稱。民國46年10月24日，行政院同意教育、國防、經濟、交通四部會所呈意見，准由教育部籌備國立交通大學復校事宜；民國47年6月1日，國立交通大學電子研究所在新竹市博愛街正式成立，期許能培育電子科學的菁英並奠定國內電子資訊產業發展的基石。為進一步配合工業發展之需，擴充科技人力之基礎，於民國53年成立電子工程學系，開始招收大學部學生。本系多年來在全體同仁共同努力及系友們的支持下已深具規模，不僅師資、課程及設備在國內首屈一指，也與世界著名大學並駕齊驅。目前本系陣容堅實壯盛，計有助理教授以上專任教師五十餘位；學生方面，則有學士生四百餘人，碩士生四百餘人，博士生三百餘人；故為國內舉足輕重之龍頭大系。系所畢業系友已近六千人，分別在國內外學術界、研究機構、工業界及企業界服務，多數傑出系友並已成為台灣電子資訊產業之領袖人物，是科技發展及國家建設的中流砥柱。

陽明交大電子系期許未來在各項電子科技領域持續引領風騷，並以創新、綠色的電子科技不斷增進人類生活品質。邀請您共同見證我們寫下我國電子資訊的新頁。

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By 國立陽明交通大學電子工程學系及電子研究所

2019-11-11 11:02:07 有 6 人按讚

【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).

Tags: design an algorithm

國立陽明交通大學電子工程學系及電子研究所

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design an algorithm 在 CarDebuts Youtube 的最佳解答

By CarDebuts

2021-03-13 22:30:36 有 17,282 人看過有 286 人喜歡

สายการผลิต 2022 Audi e-Tron GT production รถสปอร์ตซีดานพลังไฟฟ้า พละกำลังสูงสุด 640 แรงม้า ก่อนเปิดตัวในเมืองไทย

ก่อนที่จะมีการเปิดตัวในเมืองไทยอย่างเป็นทางการ ในอีกไม่กี่วันข้างหน้า เราขอพามาชมสายการผลิต Audi e-Tron GT รถสปอร์ตซีดานหรูพลังงานไฟฟ้า จากตระกูล e-Tron ซึ่งในต่างประเทศเพิ่งมีการเปิดตัวในวันที่ 9 กุมภาพันธ์ที่ผ่านมา โดยทำตลาดใน 2 รุ่นด้วยกันคือรุ่น e-Tron GT quattro และรุ่น RS e-tron GT

With an energized driving demonstration and a world premiere featuring high-caliber participants, Audi has presented its new electric spearhead – the Audi e-tron GT. In two events on the digital Day of Progress, the Four Rings showcased the highlights of this fully electric Gran Turismo: dynamic driving performance, emotional design, and sustainability.

“The e-tron GT is a stand-alone Gran Turismo, reinterpreted for the future. Its looks are a testament to premium automotive design.Bringing impressive driving performance, this is electro-mobility in the most emotive way. And with its sustainable concept, it takes a stand,” explains Markus Duesmann, CEO of AUDI AG. “Because it’s not just the drive concept that is sustainable. The entire production at our Böllinger Höfe site now has a carbon neutral energy balance.This sends an important signal – for the site, our workforce and the future viability of Audi.”

Audi also set a new benchmark with the digital world premiere, the Day of Progress. Two digital events presented the Audi e-tron GT: in the Sprint of Progress, the Formula E driver Lucas di Grassi and the sustainability entrepreneur and Formula 1 world champion Nico Rosberg demonstrated the dynamic driving performance of the Audi RS e-tron GT alongside the current Formula E racing car of the Four Rings, the Audi e-tron FE07. In a trip on the circuit of the Audi Driving Experience Center in Neuburg an der Donau, the spotlight was on the dynamic performance of the new model.

In the Celebration of Progress, the brand with the Four Rings introduced the Audi e-tron GT to the public for the first time. In the hour-long virtual show, Markus Duesmann and Hildegard Wortmann, Board Member for Sales and Marketing, together with further Audi protagonists such as Henrik Wenders, Senior Vice President for the Audi Brand, and Marc Lichte, Head of Design, presented the highlights of the new model.

A varied program emphasized the forward-looking attitude of the Four Rings brand. With reference to the importance of design, sustainability and performance, the actor and producer Tom Hardy, the designer Stella McCartney and Nico Rosberg added their personal insights. Themusical accompaniment to the unveiling of the car was performed by the US-American singer and songwriter Janelle Monáe, while Steven Gätjen as moderator guided the audience through the show.

The GREENTECH FESTIVAL and Audi, a founding partner of this platform for sustainability, together presented the GREEN FUTURE Award for the first time as part of the world premiere of the Audi e-tron GT. The prize, part of the festival’s GREEN AWARDS, is given to projects and persons that promote environmentally compatible urbanization and at the same time make an important contribution to improving the quality of life in urban infrastructure. The winner is the start-up Zencity, based in Tel Aviv, with an algorithm that collects and analyzes social media posts and local news from cities.

Both events are still available to be accessed online.

Quotes from the Celebration of Progress
“The Audi e-tron GT is the beginning of a new era for Audi. Our aim is to shape the future of electric premium mobility. Love of detail, maximum precision, and design that points the way to the future show how much passion we at Audi put into designing and making vehicles.”

Hildegard Wortmann, Board Member for Sales and Marketing, AUDI AG

“With the Audi e-tron GT we are putting the DNA of Audi on the road. The Gran Turismo superbly reflects our innovative strength and our pioneering spirit. For us it is already part of a line of icons of the brand, alongside the Audi TT and the Audi R8.”

Henrik Wenders, Senior Vice President, Audi Brand, AUDI AG

“For me, progress means creating something new. Something that no one has ever done before in this form. Designing a fully electric vehicle is like this: the entire design process has to be thought through anew.”

Marc Lichte, Head of Design, AUDI AG

“The Audi RS e-tron GT is a milestone in the development of electrified high-performance models.”

Lucas di Grassi, Formula E driver and entrepreneur

“Electric mobility is the future. Of course the path to the goal is a long one. It’s great to see that Audi is taking this path with determination.”

Nico Rosberg, sustainability entrepreneur and Formula 1 world champion

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อัพเดทข่าวยานยนต์ การเปิดตัวรถใหม่ ทั้งในไทย และต่างประเทศ ปล. ในปัจจุบัน เรายังไม่มีนโยบายรับโฆษณา หรือรีวิวสินค้าใดๆ ถ้ามีการเปลี่ยนแปลง เราจะแจ้งให้ทราบ

design an algorithm 在 DJ Macky Suson Youtube 的精選貼文

By DJ Macky Suson

2021-03-11 14:06:58 有 78 人看過有 2 人喜歡

Zhiyun Complete Product Guide, Demo, and Tutorial | How to Use Zhiyun Products #Shorts

Products:
CRANE 3S

From intense chasing shoot to studio filming, different types of shooting environment require both high capacity and flexibility of shooting equipment. Bearing filmmakers in mind, ZHIYUN felt the Crane series can be even better to adapt to strict and unpredictable filming environment. Now introducing the new CRANE 3S, the legendary gimbal built on a heritage of innovation with magnificent motors and brand new modular design, which aims for wider application and intuitive control.

Smooth X

The rotatable structure in palm size that allows you to toss in a backpack conveniently, an extendable grip made for exploring bigger vision, and a handy App - ZY Cami, for making videos rock everybody! Meet Smooth X and explore your EXTRA life!

CRANE 2S
Widely recognized as the exemplar of 3-axis handheld gimbals for professional filmmakers, the CRANE 2 series is proud to present you a newest masterpiece that witnessed numerous hardworking days and nights of ZHIYUN R&D team—CRANE 2S. Featuring high load capacity and modular design, the CRANE 2S is keen on delivering reliable and excellent performance, even in the most challenging environments.

WEEBILL-S
WEEBILL-S easily handles mainstream mirrorless and DSLR camera & lens combos. Thanks to its neat lightweight body and a unique Sling mode, WEEBILL-S brings an effortless shooting experience like never before. Featuring an upgraded algorithm and stronger motors, an intelligent ViaTouch 2.0 system as well as an ultra-low latency HD image transmission module, WEEBILL-S pushes the limit of filmmaking even further. Unleash boundless possibilities with WEEBILL-S!

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Content Creator | Mental Health Advocate | Storyteller 26 Million Monthly Views on Pinterest | SEO Master Boracay Island Philippines Videographer I create videos for tourists in Boracay. I create videos for business in Boracay Island as well and help them change how they post on their social media for better reach and more effective yet affordable advertising. I was an educational content creator of TikTok Singapore and won a few awards during that time- Study Tips and Lifehacks Creator Winner and Top Live Creator Winner within six months of that creator program. For most businesses, the most integral part of their business is being found on Google searches. With five years of experience, I can help businesses be found on Google with specific keywords that target their business model, as part of their business strategy. I offer mainly videography service for your business's social media posts and advertising. On top of that, I offer social media management and SEO services too.

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2021-03-11 14:06:51 有 20 人看過有 0 人喜歡

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