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大改款Kia Carnival終於要發表啦！
八人座車型的座椅該怎麼使用？原廠影片教學報你知！😎
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新世代Kia Carnival預售首周接單破百張👉 https://reurl.cc/o9677l
影片來源／Kia Worldwide YouTube
#愛快羅曼蒂
#Kia #Carnival #GUV #MPV #大改款 #八人座 #座椅教學 #森那美起亞
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.
│安靜的存在 │Existing in silence│
biduhaev cold brew system - PIERCE M10
是延伸「獨立無價冰滴系統 M10 」的設計作品。
設計語彙沿襲 PIERCE Dip Pen，將孔洞的設計符號放置其中成為連貫性的產品。
跟「獨立無價冰滴系統」不同的，是中間濾層的霧面處理，營造除了全透明之外的層次。特別貫穿的四孔，透過孔洞仍可以看到水滴流速，與咖啡浸濕的情形。
照片中是製作冰滴茶的過程。在乾燥時平均地將茶葉搓碎、攤平，先以熱水將茶葉打濕浸潤，再以冰水用適當的流速滴在茶葉上，萃取自己所喜歡的濃度。
生活的風格來自於設計。你所選用的器物，呈現你本身的質感樣貌，這就是 Be - Do - Have.
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Maximum of the minimum! The minimalism and utilization on cold brew system can be perfectly practiced from this device.
Free from the frame gives us the idea to come off the tradition with better elaboration. Functionally, we enhance the cold brew system from the demand of supporting rack and space. All the devices can be performed completely in 3 dimensions.
This closed system not also prevent the bugs attracted by smells while brewing coffee, but also keeps the pureness of coffee flavor.
No need for spare device. You can fridge the bottle directly after brewing for a couple few days. This cold brew system has registered patent in many countries.
Being independent is priceless!!
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極めてシンプルなコーヒーメーカー。 水出しコーヒーをもっとも代弁するコーヒーメーカーである。 違う発想からスタンダを不要にした。
いままでの水出しコーヒーのコーヒーメーカーはどうしても空間をとるが、私たちのコーヒーメーカーは、無駄な く3次元の空間を生かすことによって、洗練されたデザインとなった。コーヒーの香りに惹かれた虫が飛んで来て 容器の中に入り込む現象も解決した。緊密性を保ち、コーヒーの純な味を守る。ガラスカートリッジを利用しコー ヒーはガラス以外の材質と接触しないようにドリップされる。ドリップされたコーヒーに油があり独特で滑らかな 味を楽しめる。直径10~13センチ程の面積で場所をとらず、6~10時間じっくりドリップする。本の少しだけ様子を 見ればあとは全部お任せ。
完成後、他の容器に入れる必要もなくそのまま冷蔵庫に入れ3~5日間保存できる。多国特許を取得した。
space utilization 在 Commercial Building Space Utilization - YouTube 的推薦與評價
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