關於 aerial drive ，我們在網路上蒐集到這些相關的討論、資訊與評價

來自IrvinGQ支援美國猶瑪試驗場的全新ATAX空投系統，作為美國陸軍未來評估戰術空投系統，ATAX具模組化的專利設計，安全氣囊可重複使用，減少載荷和索具固定的時間，長8英尺，寬108英寸，最多可以連接四個模組，形成一個32英尺平台，容納從1,143到19,051公斤的所有陸地空投

【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).

🌋Follow👉🏻 @dronebyjaja for more of my aerial cinematic shots 😊
This is one of my favorite shot I captured during my mini drive along the East of Oahu.🚗
I wasn’t in a rush, so I guess flying a drone is a must...right!? even tho Hawaii was so fucking windy....😱😂 tbh 100% of the time during this flight I was like “PLEASE COME BACK!!😂”

#hawaii #oahu #honolulu #ilovehawaii #hi #aloha #dji #drone #djiglobal #djimavicpro #mavicpro

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Adina Apartment Hotel Adelaide Treasury
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State Library Of South Australia
- The largest public library in South Australia with a collection focus on South Australian information and general reference material.

Adelaide Botanic Gardens
- An oasis in the cosmopolitan heart of the city, featuring beautifully-landscaped gardens, majestic avenues and stunning architecture.

TreeClimb Adelaide
- Australia's inner-city aerial adventure park built within the natural environment of the Adelaide City Park Lands.

Adelaide Central Market
- With over 70 traders under one roof, the market offers a huge range of fresh food including fruit and vegetables, meat and poultry, seafood, cheeses, bakery and health foods, along with some of Adelaide’s most popular cafes and eateries.

St Hugo & Hentley Farm Wines
- Premium wineries in Barossa Valley.

Jurlique Farm
- The Farm where skincare brand Jurlique grows their organic ingredients.

Hahndorf Inn
- The perfect location for a lunch or dinner. Their focus is on hearty traditional European cuisine, whilst using much of the local and artisan produce that is available in the Adelaide Hills.

CABN Jude
- Sustainable and eco-friendly tiny houses. Give yourself a fighting chance with a short stay, recharge your batteries and retreat in style.

Mount Lofty Botanic Gardens
- Meander along the multitude of paths that sprawl across 97 hectares – with a surprise awaiting around every corner.

Cleland Wildlife Park
- The park offers you the opportunity to feed kangaroos and surround yourself with over 130 species of Australian wildlife. Also, one of only a few places in the world where visitors can hold a koala.

McLaren Vale Wine Region
- One of Australia's oldest and most acclaimed wine regions.

d'Arenberg
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Moana Beach
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Softfoot Alpacas
- A privately owned family farm & sanctuary Softfoot was established for the breeding of World Class Alpacas & as a sanctuary for endangered wildlife.

Clifford’s Honey Farm
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Vivonne Bay
- A bay located on the south coast of Kangaroo Island.

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Admirals Arch
- Nature's wild sculptures where New Zealand fur seals can be seen frolicking in the waters or resting on the rocks.

Kangaroo Island Spirits
- Spirited island industry located within a rather ramshackle exterior, is home to an award winning distillery where liqueurs, gins and vodkas are made.

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2018年1月にDJI社から新しくリリースされた「DJI MAVIC AIR」を片手に、故郷である静岡県浜松市を巡ってきました。

そこには、全然知らなかった「新しい絶景」との出会いがありました。

With latest drone “DJI MAVIC AIR”, I explored my hometown Hamamatsu-city, Shizuoka-prefecture, Japan.

I found there were lots of encounters with new ZEKKEI (breathtaking sights) which I didn’t know even I had lived there till 18 years old. Enjoy the aerial view of my hometown!!


１）浜名湖 / Hamana Lake
浜松市西区にある、日本で10番目に広い「浜名湖」。ウナギやアサリ、牡蠣やすっぽんなどの海産物に恵まれた湖で、私も幼いころから潮干狩りをよくしたものです。「湖」と行っても太平洋とつながっているので、干満差があります。そのため、干潮時にはなんと「湖の真ん中」に立つことができるのです。
Hello from the middle of the lake!!!This place is just the middle part of the Hamanako lake. So that this lake is connected to the Pacific Ocean, there is a change of the tide. Therefore we can stand in the lake! Hamana lake is also known for plentiful of delicious seafoods like eels, oysters etc.

２）立須 / Tachisu
浜松市北区にある「立須」。市街地から車でたったの数十分でアクセスできます。切り立った石灰岩の小さな絶壁をがんばってよじ登ると遮るものがない360度の眺望が開けて、遠く太平洋や浜松市街、そして富士山まで見渡すことができます。
I’ve never imagine I had such beautiful place in my hometown. So that Hamamatsu city is the second largest city in Japan, we have downtown, sea, lake, also mountains in one city. You can access here just 1 hour drive and few minutes walk from the city central. Nothing obstruct your view. You can enjoy the panoramic scenery and also see Mt.Fuji from here.

３）中田島砂丘 / Nakatajima Sand Dunes
浜松市南区にある日本三大砂丘のひとつ「中田島砂丘」。浜松の太平洋沿いに広がる全長4Kmの砂の地帯です。初日の出をみるために毎年来ていましたが、日本三大砂丘だなんて知りませんでした。浜松は「遠州のからっ風」と呼ばれる強風で有名ですが、その風でつくられるのが「風紋（ふうもん）」と呼ばれる美しい砂紋です。
This sand dunes is located at the southern part of Hamamatsu, at the Pacific Ocean coast. It extend 4 km from east to west. From the dunes you can see the sprawling coast of Enshu-nada sea with an unobstructed view. The wind on the dunes creates a pattern called " Fumon" like this picture, it resembles a beautiful work of art.

４）弁天島 / Bentenjima
浜松市西区、浜名湖と太平洋のつなぎ目に近い湖上に立つ高さ18mの「弁天島の大鳥居」。毎年冬の時期には鳥居の真ん中に沈むように夕陽がおちるのが人気で、カメラマンが集まるスポットになっています。
This Japanese red gateway is called “Torii”, the gateway in shrine. Near the winter solstice, the sun sets just into the center. Lots of people come to watch this romantic scenery in this season.

※すべて許可を得て撮影しています
※I god permissions for shooting


＜制作 / Produced by＞
「死ぬまでに行きたい！世界の絶景」プロデューサー 詩歩 / Shiho

＜撮影協力 / Special thanks＞
浜松市 観光シティプロモーション

＜機材 / Equipment＞
DJI MAVIC AIR


***********************************

Hi, I’m Shiho.

絶景プロデューサーの詩歩と申します( ¨̮ )
これまで日本は全47都道府県、海外は約60カ国を旅してきました。

現在は「絶景プロデューサー」という肩書で、書籍の出版や「絶景」に関する様々な仕事をしています。
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The Langkawi Cable Car, also known as Langkawi SkyCab, is one of the major attractions in Langkawi Island, Kedah, Malaysia. It provides an aerial link from the Oriental Village at Teluk Burau to the peak of Gunung Machinchang, which is also the location of the Langkawi Sky Bridge. The total length is 2.2 km (1.4 mi), with a journey time from the base to the top of around 15 minutes. It was officially opened in 2003.

Langkawi Cable Car is located just north of Telaga Harbour, Pantai Kok, with the entrance within 'Oriental Village' at the foot hill of the Mat Chincang mountain range. It is located to the north-west of the Langkawi International Airport, on the west coast of the main island of Langkawi. It is approximate 30 minutes drive from Kuah town and 15 minutes drive from Langkawi International Airport._ wikipedia