關於 net use /y ，我們在網路上蒐集到這些相關的討論、資訊與評價

กรณีศึกษา Casper ธุรกิจขายที่นอน ออนไลน์ /โดย ลงทุนแมน
“ไอเดียนี้แย่มาก ไม่มีใครซื้อที่นอนทางอินเทอร์เน็ตกันหรอก”
นี่คือคำพูดของกลุ่มนักลงทุน ที่ปฏิเสธให้เงินเจ้าของบริษัท Casper ไปเริ่มต้นธุรกิจขายที่นอนออนไลน์

ซึ่งอาจเพราะในอดีต คนยังคุ้นเคยกับการไปซื้อที่นอนตามหน้าร้านอยู่...
Continue ReadingCase study Casper. Online / Investing mattress business.
′′ This idea is terrible. No one will buy internet mattresses
This is the quote of a group of investors who refuse to get money for Casper company to start an online mattress business.

Maybe because in the past, people are still familiar with buying beds in front of the store.
But Casper finally can erase those beliefs
And make online mattresses widely popular

How do they use DISRUPT mattress market
Investing man will tell you about it.
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Casper is an online retail business from USA
Founded in 2014 or just 6 years ago

The main products that the company has chosen to sell are ′′ bed ′′
Because it's something to use regularly because humans sleep average of 6-8 hours a day.

However, Casper in the early stages couldn't convince investors to care about their business.

Y ' all don't believe consumers buy site mattresses that often.
Because it's quite expensive and the product has been used for years.

This industry is also a large market worth around 1,200,000 million baht.
With a lot of retail players competing fiercely

Making the owner of the company to pay personal money. Try to produce the product first. Until it's in debt of 3 million baht.

Casper's mattresses are designed with good quality materials like Memory Foam, which fits the user's body, so it reduces pressure and makes us sleep better.

The sale price is between 11,000 to 35,000 baht, which is not expensive like various retail stores.
Including the company is open to return within 100 days and warranty for 10 years.

When businesses look into form, there is a group of Venture Capital investors coming to support funding.
Make Casper finally able to launch the platform

Originally, they predicted the first year of income at around 60 million baht.
But the result appears that just the first 2 months, sales have gone through the target.

If you ask me why Casper mattresses are selling well.
The answer would be a marketing strategy that attracts consumers in this era.

Casper's most highlights. Apart from quality and price.
It's packing small boxed mattress products to be shipped to customers.

When the box is removed, put it on the base of the bed, the mattress will gradually blister up as if it lives.

This unique creates a trend of posting video clips, unpacking boxes and placing Casper mattresses on social media platforms.

Especially when famous people post like Kylie Jenner's case talking about their Instagram and YouTube casper mattresses generated over 870,000 likes.

Therefore, companies are primarily focused on advertising on social media
By hiring actresses and influencer to make casper product containers

Later, when the brand is famous, there are more interested in investing.
Target major retail malls, A-Grade Investment. Ashton Kutcher's fund.
Or entertainment industry people like Tobey Maguire, Leonardo DiCaprio, Adam Levine etc.

The company therefore puts future vision to step into a virtual Nike of sleep.
By expanding the business to other sleep related items such as pillow, bed sheet, lamp.

Also invested to build over 200 storefronts
And expanding services to foreign countries such as Canada, Germany, England.

Performance of Casper Sleep Inc. Continuing to grow
Year 2017 Income 7,900 million baht. Loss of 2,300 million baht.
Year 2018 Income 11,200 million baht. Loss of 2,900 million baht.
Year 2019 Income 13,800 million baht. Loss of 2,950 million baht.

Casper used to be evaluated by business value at 34,500 million baht. It is a starter cuddle Unicorn decoration.

And on February 2020, the company got the IPO listed into the New York Stock Exchange.
But the latest stock value has gone down to around 11,300 million baht.

This may be the result of Casper's losses and marketing advertisement costs quite high.

Assemble Casper's success, it has resulted in competitors selling online mattresses for less than 175 companies.
Including big ones like Walmart and Amazon

Online mattress selling has become a new trend in the market which makes the largest US mattress firm retailer named Mattress Firm who has been in business for 33 years. Sales of 107,000 million baht. Bankruptcy announced in 2018

This is an interesting case study

Although the product doesn't seem to fit online sales.

But did you know that when we walk in the mall to buy a mattress, we listen to the sales staff speak differently than we see online reviews. Trying with a real mattress may not affect the decision that we initially thought.

If you can make a point of selling by letting people review the products.
So that there is a trend. Let's talk about it widely.

Maybe we can sell the kind that people don't think they can sell like Casper's bed..
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References
-https://www.cnbc.com/2019/04/05/how-caspers-founders-built-a-billion-dollar-mattress-start-up.html
-https://en.wikipedia.org/wiki/Casper_Sleep
-https://casper.com/
-https://www.statista.com/chart/20729/revenue-and-net-loss-of-casper/
-https://www.cnbc.com/2019/08/18/there-are-now-175-online-mattress-companiesand-you-cant-tell-them-apart.html
-https://en.m.wikipedia.org/wiki/Mattress_FirmTranslated

【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).

美麗的台東被接連幾個颱風襲擊重創，但海岸線還是一絕，有空去走走吧！

#timefortaiwan

It's Time for Taiwan!!
One thing you must do when you come to Taitung is to come around the seaside because it has the most beautiful coast here!
當你來到台東一定要做的事，就是去海邊，因為這裡有全台灣最漂亮的海岸！

2016-2017 Episode 5 East Coast Line 東部海岸趴趴走(台東)
Transcript 影片文字稿：

Welcome to TAIWAN, I am Poyu Lin, I love to travel ,love wandering around in Taiwan
歡迎來到台灣，我是林柏妤，我熱愛旅行，也喜歡在台灣趴趴走

Today,I am taking Taiwan Tourist Shuttles of East Coast Line. Along the route, we will see the natural, this great talented artist left us some vibrant fine sculptures here.
今天我選擇的台灣好行，走的是東部海岸線，在這裡，我們可以看到大自然，就像是一個天才藝術家，留下許多鬼斧神工的作品。

Oh it's a beautiful place, the ocean lines are good, everything is beautiful here
這裡真美，很棒的海岸線，這裡什麼都很美。

Wanna see how far your imagination can go? You’ll have to come to “Xiaoyeliu Scenic Area”. What do you think this rock looks like?
如果你覺得你的想像力夠豐富的話，一定要來「小野柳風景區」，這塊岩石你覺得像什麼？

Doufu？Mushroom？Look, is it look like a frog?Honeycomb？Alien？Minions!
豆腐?蕈?你看，這是不是很像青蛙？蜂窩？外星人？或者是,小小兵...

Ok,well,let me think another one
好吧！那我再想想別的。

The interesting geological landscape of Xiaoyeliu was transformed through years of geological events, weathering and erosion. And the nature of its stratum, which is composed of overlapping layers of sandstone and mudstone, is the main ingredient to these unique sculptures.
如此有趣的地質景觀，是因為小野柳經過長年的地質變動，以及風化和海水侵蝕，加上它的地質性質，是由厚層砂岩和薄層泥岩交互沈積而成，創造了這些造型奇特的地質現象。

Aside from the beautiful scenery here, there are also many popular legends. The most famous one is about Sanxiantai.Back then, you will have to wait for the outgoing tide to walk over and visit. Nowaday with the bridge built in between, it becomes more accessible.
東部海岸除了漂亮的風景之外，這裡也有很多美麗的傳說，最有名的就是三仙台，以前得等到退潮才能過去，自從蓋了橋之後，一切都變的簡單多了。

From this angle you can take the coolest picture of Sanxiantai,having all 8 arch bridges in one shot. It looks like a giant dragon flying over the sea, doesn’t it?
這個角度，可以拍到三仙台最經典的照片，8座拱形的步橋連接起來，看起來是不是很像一條巨龍，飛翔在海上呢？

So,Sanxiantai used to be connected to the main island, and due to coastal erosion it became separated. If you literally translate Sanxiantai into English, It means the island of the three saints, represented by the three rocks.
以前三仙台跟本島是相連的，而會成為離岸島，是受到海水侵蝕的關係，為什麼這裡會被稱三仙台，傳說中有三個神仙，曾經在島上休息過。

Now,I’m going to cross the bridges
現在我要過去囉！

there is total of 320 stairs, so it's not difficult to climb
這裡總共有著320個階梯，對我來說小菜一碟

The size of Sanxiantai is as big as 27 football fields! I have got lots of energy so let’s walk around the area and look for the 3 immortals!
三仙台的面積，大約是27個足球場那麼大，依我的體力，要繞島一圈絕對沒有問題，三位神仙我來了。

I'm standing on Sanxiantai, the rock ,it’s so huge
我抵達了三仙台，這個石頭，好大～

However, for the native Amis Tribe, Sanxiantai is their traditional hunting and fishing ground and it is where food comes from. They called it “nuwalian”, which means “the place on the far east side”.
不過，對住在這的阿美族而言，三仙台是他們傳統的漁獵場和食物採集地，他們稱這裡叫”nuwalian”，意思就是「最東邊的地方」。

This is the Pisilian community, an enchanted Amis Tribe. The music instrument they were playing is called the “Paw-Paw” drum.
這裡是「比西里岸」，是非常迷人的阿美族部落，他們這裡最著名的樂器表演，叫做”寶抱鼓”！

The “Paw-Paw drum ”is created by local artists. They use recycled plastic floats of stationary fishing net and driftwood; then put on traditional Amis patterns, and turn it into a one and only Pisilian-style green instrument.
寶抱鼓是當地藝術家所創造的，利用廢棄的定置漁網浮筒和漂流木，加上阿美族圖騰裝飾，打造出專屬比西里岸部落的環保樂器。

This is easy to learn and great to play. You should to try it! today I’m going to say thank you for watching our show in Amis traditional language.
I am Poyu Lin, enjoy your time in Taiwan! “Aray”
這真是一個簡單易學又好聽的樂器，你也可以來試試看，今天，我要用阿美族的語言，跟大家說再見，我是林柏妤，享受在台灣的時光，“Aray”

More information>>>>>
Taiwan Tourist Shuttle http://en.taiwantrip.com.tw/line/17?x=4&y=2
East Coast National Scenic Area http://www.eastcoast-nsa.gov.tw/en-us
Sanxiantai http://www.eastcoast-nsa.gov.tw/en-us/Attractions/Detail/74

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