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      "author": "steemitboard",
      "permlink": "steemitboard-notify-budywon-20190620t153802000z",
      "title": "",
      "body": "Congratulations @budywon! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@budywon/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@budywon) and compare to others on the [Steem Ranking](https://steemitboard.com/ranking/index.php?name=budywon)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/steemitboard/@steemitboard/the-steem-community-has-lost-an-epic-member-farewell-woflhart\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmQWnM36SWCPGn98nY83M1ArgweMz5fnovQEp2E4FiDdug/Wolfhart_header.png\"></a></td><td><a href=\"https://steemit.com/steemitboard/@steemitboard/the-steem-community-has-lost-an-epic-member-farewell-woflhart\">The Steem community has lost an epic member! Farewell @woflhart!</a></td></tr><tr><td><a href=\"https://steemit.com/steemtoolbar/@steemitboard/steemtoolbar-update-display-bug-fixed\"><img src=\"https://steemitimages.com/64x128/http://i.cubeupload.com/7CiQEO.png\"></a></td><td><a href=\"https://steemit.com/steemtoolbar/@steemitboard/steemtoolbar-update-display-bug-fixed\">SteemitBoard - Witness Update</a></td></tr><tr><td><a href=\"https://steemit.com/steem/@steemitboard/do-not-miss-the-coming-rocky-mountain-steem-meetup-and-get-a-new-community-badge\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmUphCGZFWgt6bJ1XTtunV7esnwy6bxnGqcLcHAV3NEqnQ/meetup-rocky-mountain.png\"></a></td><td><a href=\"https://steemit.com/steem/@steemitboard/do-not-miss-the-coming-rocky-mountain-steem-meetup-and-get-a-new-community-badge\">Do not miss the coming Rocky Mountain Steem Meetup and get a new community badge!</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
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      "permlink": "re-hjk96-re-budywon-2018-trend-korea-key-words-20180108t022338990z",
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      "body": "그렇죠 관련이 있는지 모르겠지만 협상기술의 하나로도 쓰이잖아요 협상결과에 대해서 상대방에게 만족감을 줄수 있도록 하는 것... 예를 들자면 이런가격엔 팔아본 적이 없는데 당신이니까 이 가격에 준거야 등\n\n저는 개인적으로 소확행이 저랑 가장 맞는 것 겉네요 그럴 나이가 된 것도 같고",
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      "body": "가심비.. 가 와닿네요 ^^",
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      "permlink": "re-budywon-re-dmy-7kuo4c-and-20180106t050011178z",
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      "body": "budywon님 안녕하세요!!\n앗!! 유베이스에 계시는 군요 ㅎㅎㅎ\n저보다 더 많은 곳에 방문하셨나 봅니다 ㅜㅜ \n지겨울 텐데 부디... 지겨운 시간이 빨리 지나가고,\n교체 잘! 받으셨으면 좋겠습니다 : )",
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      "body": "그러게요 이시장이 어떤 끝을 보려고 이렇게 바뀌는지..",
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      "body": "축하드립니다 다 잘될겁니다 응원할께요",
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      "body": "2018년도 소비 트렌드 대표 키워드를 선정하여 김난도 서울대 서비자학과 교수가 발간한 ‘트렌드 코리아 2018년’은 2018년은 내일이 오늘보다 나아질 것이라는 희망이 사라진 시대로 '꼬리가 몸통을 흔들다'는 현상인 '주객이 전도된 Wag the Dogs가 지속될 것으로 전망했으며 이를 중심으 2018년 소비 트렌드 키워드를 10개를 제시하였다.\n\n![35A7DBF0-FBF3-41C8-BC85-A29EA1C3A136.jpeg](https://steemitimages.com/DQmTR9JnX3PWVmUvmmkz3ejwX8oRR9beZVXg6Ts5TX5cv2L/35A7DBF0-FBF3-41C8-BC85-A29EA1C3A136.jpeg)\n\nW 작지만 확실한 행복 (소확행)\nwhat's Your 'Small but Certain' Happiness?\n원대한 행복보다 별것 아닌것 같아도 실현 가능한 행복을 일상에서 구한다.\n\nA 가심비(價心比)\nadded Satisfaction to Value for Money: Placebo Consumption.\n진정한 의미의 가성비는 가심비! 즉 가격 대비 마음의 만족이다.\n\nG 워 라밸(work-life-balance)\ngeneration 'Work-Life-Balance\n직장만큼 자아와 인생을 중시하는 신세대 직장인의 시대가 온다.\n\nT 언택트기술(Untact. Um-Contact) \ntechnology of 'Untact'\n누군가 (점원)의 도움 없이도 자신의 요구를 완전히 해결해주는 서비스를 원한다.\n\nH 케렌시아(Querencia)\nhide Away in your Querencia\n누구에게도 방해 받지 않는 나만의 안식처가 필요하다.\n\nE 프리미엄(Freemium) 경제\neverything-as-a-Service\n모든 산업분야에서 서비스가 상품의 본질이 되는 비즈니스 모델의 혁신이 일어난다.\n\nD 예쁜쓰레기 (매력)\ndays of ‘Cutocracy'\n비슷비슷함 속에서 살아남는 그들에겐 치명적인 매력이 있다.\n\nO 미닝아웃 (신념의 소비)\none's True Colors: 'Meaning Out\n함부로 드러내지 않았던 정치 사회적 신념을 적극적으로 표현한다.\n\nG 이 관계를 다시 써보려고 해 (대인관계 아닌 대인관계)\ngig-relationship, Alt-family\n관계맺기의 양상이 욕구충족의 기능 중심으로 근본부터 재편된다.\n\nS 자존감 회복\nshout out Self-esteem\n세상의 주변에서 나를 외치다. 나는 아직 가치 있다는 것을 확인하기 위한 개인들의 고군분투.\n\n![3083F8E4-1FA4-4CF2-8DBF-7B4839CECE03.jpeg](https://steemitimages.com/DQmNyMiJzB1Pp4F3FHTft9eW7uWchG3tLBSJxuazEtiRCYR/3083F8E4-1FA4-4CF2-8DBF-7B4839CECE03.jpeg)\n\n![1668E4B3-452A-4904-AC9A-269EC2081F77.jpeg](https://steemitimages.com/DQmV6oLXFpLauNoQuhfBqEx9TZbzaVtsRp3ZjCxgyGhsMzz/1668E4B3-452A-4904-AC9A-269EC2081F77.jpeg)",
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      "body": "interesting post!",
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      "body": "great work! keep it up!",
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      "author": "budywon",
      "permlink": "autonomous-vehicles-depend-on-good-data-automotive-news-26",
      "title": "Autonomous Vehicles Depend on Good Data - Automotive News #26",
      "body": "It helps you to have basic understanding how cars drive themselves.\n\nQuoted from:\nhttps://blog.cloudfactory.com/preparing-training-data-sets-for-autonomous-driving?utm_campaign=Micro-M\n\nAutonomous Vehicles Depend on Good Data: Here's How We Help\n\nOne of the coolest things for everyone working at CloudFactory is the amazing technology our customers are creating. Their spirit of innovation inspires each of us to push our own boundaries and solve new problems by thinking differently. We get to support our customers as they quite literally create the future, and that is a novelty that never wears off.\n\nOne area we’re particularly excited about is the development of AI for autonomous driving vehicles. Whether it’s working with a customer like Embark, who is creating the first ever autonomous driving trucks, or drive.ai, who is using deep learning to “build the brain of self-driving vehicles”. These are ambitious efforts that could lead to a safer, cleaner, and more productive future.\n\nWe help these customers by taking the painstaking tasks associated with preparing the massive datasets they need to fuel their algorithms. Often it comes in the form of processing thousands upon thousands of raw images, by enriching that data with labeled bounding boxes, providing scene annotation for semantic understanding, or providing 3D point cloud annotations. All of these applications hold the promise of making machine vision algorithms safer, which in turn, brings them one step closer to reality.\n\nRecently, the New York Times featured an article showcasing how the technology works, who the players are, and what role they’re playing. We thought it would be interesting to examine how data scientists and engineers are creating an autonomous driving future.\n\nThe fact is, the future is here, as the article states…\n\n“Autonomous cars have arrived. Uber has a fleet operating in Pittsburgh, Google’s parent company is closer to coming to market with its driverless project and the federal government has begun to issue guidelines on how the cars should work.” (From NYT Article)\n\nHow Car Drives Itself\n![IMG_3366.PNG](https://steemitimages.com/DQmchKqfKWMHRXkT4Lz9KRYqPDvR8rKCmeWBQ5FBraoYnmM/IMG_3366.PNG)\n\n95% of animals use vision to navigate their environment, and those pushing the boundaries of AI believe their technology should do the same. We help our customers prepare acccurate datasets for their computer vision algorithms. For instance, take the camera on top of the car in the image above. The raw images contain objects like road signs, traffic lights, or moving objects like people. To train both their recognition and decision-making algorithms we take their raw data and deliver it back with bounding boxes and labels that accurately categorize and identify those objects. These enriched images are then used to “teach” autonomous systems how to recognize the objects, and how to decide on the appropriate response.\n\nLabeled Bounding Boxes\nThe car’s sensors gather data on nearby objects, like their size and rate of speed. It categorizes the objects — as cyclists, pedestrians or other cars and objects — based on how they are likely to behave. (From NYT Article)\n\n![IMG_3367.JPG](https://steemitimages.com/DQmYECcsSkqXCB2hGtonBD3JaeRBnpQsxsMQRXSgJXY7Qt1/IMG_3367.JPG)\n\nFor those using lidar, an active laser sensor system that illuminates the car’s surroundings, creating what are known as point clouds, we take those images and provide 3D annotations. This lidar data is annotated to provide accurate georeferenced coordinates that are used to replicate the reality of a car’s surroundings, creating the AI that makes the technology safer and more reliable. This enables our customers to build better learning systems, and ultimately safer autonomous vehicles.\n\n![IMG_3368.PNG](https://steemitimages.com/DQmTJtHpkpgJE5S8PTeSvKaozm1B4CrX7wEjg1RLJi2tMRn/IMG_3368.PNG)\n\n3D Point cloud annotation\nAnother way we help our customer is by providing enriched data for contextual situations, otherwise known as semantic understanding. We help take image understanding from low-level image features to high level semantics by identifying objects and events providing situational understanding to help our customers create more advanced learning systems.\n\n![IMG_3369.PNG](https://steemitimages.com/DQmaBq6tHcNVtTQtPwuuZjDK8fhm2kbEdBjctzKHBL5xLQR/IMG_3369.PNG)\n\nSemantic Understanding\nThese are just a few of the ways we’re helping our customers define the future of autonomous vehicles. The ugly truth is that some data scientists spend close to 80% of their time on data preparation. This is an expensive proposition when you consider that their time could be used far more efficiently by solving complex problems, instead of processing thousands of images. We’re here to free them up by offering a dependable and elastic way to prepare accurate datasets so they can focus on building incredible technology.\n\n![IMG_3366.PNG](https://steemitimages.com/DQmchKqfKWMHRXkT4Lz9KRYqPDvR8rKCmeWBQ5FBraoYnmM/IMG_3366.PNG)",
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      "parent_permlink": "automotive",
      "author": "budywon",
      "permlink": "10-things-flying-cars-are-killing-in-5-years-automotive-news-25",
      "title": "10 Things Flying Cars Are Killing In 5 Years - Automotive News #25",
      "body": "Flying car is no longer a dream, this isn’t science fiction. A number of start-ups as well as big aerospace firms are trying to build personal aircraft you could fly around town even there are plenty of questions to introduce flying cars in your real life.\n\nQuoted from:\nhttps://medium.com/blockchainaero/10-things-flying-cars-are-killing-in-5-years-81da202a9fd2\n\n10 Things Flying Cars Are Killing In 5 Years\n\n![IMG_3363.PNG](https://steemitimages.com/DQmQ4mUu6M3LWF5ZFjJk4YegHYMD5W8uy1E3ALc3CjSwFHj/IMG_3363.PNG)\n\nToday you can become a member of Blockchain.aero Community and get the Bartini flying cars or, better, the flight itself.\nHow will the flying cars (e-VTOLs) change the world in the nearest future?\n10 things are on the verge of extinction.\n\nI. REAL ESTATE\nProperty prices reflect proximity to places of importance to you.\nThe only thing to matter in the future — the beautiful view. Decentralize cities. Ruralism instead of urbanism\n\nII. STRESS\nHassle commute and traffic jams don’t chill.\nImagine there is no traffic. The only jams are marmalade and music.\n\nIII. AIR POLLUTION\nVolvo announced that all of their cars from 2019 would be electric.\nAir-taxis will be electric too. That will make the future cities cleaner and greener!\n\nV. FLATLAND THOUGHT\nHuman perception is transformed by the imagery we contemplate. We move flat, most of the time.\nWatch top-down more often. 3D heights to your mind! “God-view mode” on!\n\nVI. NON-USE VALUE\nPeople do not need things — they need their functions. Owners of cars use only 3–6% of vehicles’ time and value.\nRidesharing increases the effectiveness of air-taxi fleets. The autopilot will make it even more affordable.\n\nVII. HUMAN FACTOR\nFirst flying cars will augment a trained pilot. But further, await the AI-powered and computer-vision driven vehicles.\nStats tell us that human error is involved in 80–95% of car accidents.\nAutonomous air-commute will be safer.\n\nVIII. SEDENTISM\nHigh availability of urban and long-distance flights will cause more people to become nomads — digitally, locally and globally.\nMove away from the familiar and approach the unusual. The speed of travel is the indicator of freedom.\n\nIX. GDP LOSS\nHours and hours are wasted every day. They become days and weeks spent in traffic.\nMultiply them by population, average pay, and you will get the annual loss to the world economy.\nLet’s become productive!\n\nX. VANITY FAIR\nThere is a small two-way street in the central Stockholm. Every weekend high profile individuals drive it slowly to show off their expensive muscle cars.\nWho cares about public image while leaping overhead?\nJust move from A to B!\n\n![IMG_3364.PNG](https://steemitimages.com/DQmRGXdEfgyP2ym8RRN4PM8UU3qaPigwLRrp7piT1KzrFdw/IMG_3364.PNG)\nHere is a quick review of extremes that shall be transformed gradually in the following five years and beyond.\nDrive dreams to action and join Blockchain.aero community.\nBring closer the flying cars future.",
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      "author": "budywon",
      "permlink": "from-daimler-to-didi-the-car-revolution-automotive-news-24",
      "title": "From Daimler to Didi — the car revolution - Automotive News #24",
      "body": "It's very nice post that I quoted from the following link to understand the history of automotive technology and what to be happened in the future.\n\nhttps://medium.com/@alearningaday/from-daimler-to-didi-the-car-revolution-e33bf84b81ec\n\nFrom Daimler to Didi — the car revolution\nIn his fantastic book, Sapiens, Yuval Noah Harari notes — “The most important things that happened in the Industrial Revolution was not the discovery of this or that particular raw material or energy source, but, the new understanding of humans that they are in fact surrounded by enormous, almost limitless quantities of energy and raw materials. The main thing we really need to do is to find and invent ways to harness and control all this energy and raw materials. What is really lacking is not energy, but ways to harness it. Over the last few centuries, every few years, or decades, scientists and engineers have managed to discover new sources of energy, new raw materials and new ways of harnessing them for our needs.”\n\nSo, our journey has human beings has involved harnessing various sources of energy and continually improving efficiency. We first heated coal and used it to power steam engines and then moved to petroleum, natural gas and used electricity to light up our world.\n\nA key use of all this energy was to transport people and things. And, that tale began with the Paris-Rouen race for horseless carriages organized by the “Le Petit Journal.” The 102 entrants included vehicles powered by steam, petrol, electricity, compressed air and hydraulics. Only 21 qualified for the 126km (78-mile) race, which attracted huge crowds. The vehicle below was powered by an engine built by a little known company called “Daimler.”\n\n![IMG_3352.JPG](https://steemitimages.com/DQmNmFxG3ASDDXw9xzCZFKwYEVpVTcyQV7NMcNzxqFSPtPY/IMG_3352.JPG)\n\nThe clear winner of the race was the internal combustion engine. As The Economist beautifully put, over the next century it would go on to power industry and change the world.\n\nThe internal combustion engine;\nIt is important to start with the internal combustion engine because it helps us understand why the next two decades will change the transportation industry and, consequently, our lives. This was US patent #2,408,298 awarded on September 24, 1946 for “The Cummins Diesel Engine.”\n\n![IMG_3353.PNG](https://steemitimages.com/DQmZMBua9voTKPUELP8xmtFAQuFDSP3hqxxaJhuvc8CKx7S/IMG_3353.PNG)\n\nThe internal combustion engine is a beautiful combination of pistons, gears, rods and other parts — 2000 in number. Of course, these parts bring wear and tear with them. And, this wear and tear that has created a massive industry around servicing cars. An intriguing article by Seth Miller on Newco Shift (as per usual, all links at the end) shows why this matters.\n\nBelow is a list of the most common vehicle repairs from 2015:\n• Replacing an oxygen sensor — $249\n• Replacing a catalytic converter — $1,153\n• Replacing ignition coil(s) and spark plug(s) — $390\n• Tightening or replacing a fuel cap — $15\n• Thermostat replacement — $210 \n• Replacing ignition coil(s) — $236\n• Mass air flow sensor replacement — $382\n• Replacing spark plug wire(s) and spark plug(s) — $331\n• Replacing evaporative emissions (EVAP) purge control valve — $168\n• Replacing evaporative emissions (EVAP) purging solenoid — $184\n\nAnd this list raises an interesting observation: None of these failures exist in an electric vehicle.\n\nThe electric vehicle drivetrain contains just about 20 parts. And, it doesn’t take a genius to conclude that a system with 100x fewer moving parts will be more reliable.\n\nSo, we now live in a world where a Tesla has lasted more than a million times while most cars with internal combustion engines last only 150,000 miles. This is, of course, just the beginning. Volvo has already become the first major car manufacturer to commit to phasing out all traditional engines and gas powered vehicle in 2019.\n\nThe 3 shifts;\nBen Evans wrote a seminal post on how to think about cars in 2015. In it, he made 2 important points. First, he called out the fact that there are 3 shifts happening that all feed into each other.\n 1. Mechanical to Electric \n 2. Owner to Shared\n 3. Driven to Autonomous\n\nSecond, he explained why cars get such a large share of technology press — market size.\n\n![IMG_3354.PNG](https://steemitimages.com/DQmQbp7u1q1ErfzmzS75h9mHWhqnBGDVwwL3zEPPWfncs1s/IMG_3354.PNG)\n\nThis chart should be taken with a grain of salt because the move to shared cars will reduce the size of this market. But, we’re nevertheless still talking about a massive market that would be susceptible to monopoly/duopoly/oligopoly via network effects in a world with large autonomous car fleets.\n\nWe started discussing why the move from mechanical to electric makes sense. Now, let’s take a leap past the move to shared cars to discuss autonomy.\n\nEverybody wants to make a self driving car\nFor the longest time, the only show in town where self driving cars were concerned was Google’s self driving car project. Then, we suddenly saw an explosion in autonomous driving technology. It started with news about Uber, Lyft, and then now involves all of the traditional car companies. To give you a sense of how widespread the global self driving project is, here are a few snippets from the past few months -\n• Cadillac has begun selling cars with autonomous driving capabilities\n• Bosch is building a $1.1B self driving chip plant\n• Jaguar is working with Lyft on autonomous driving tech — who also work with General Motors and Waymo/Google\n• Cruise (acquired by GM) is already running an autonomous ride-hailing service in SF\n• Lyft and Nutonomy are working on a project in Boston (Lyft’s Business Development team have been busy)\n• Nutonomy and Peugeot team up in Singapore\nIntel has autonomous car facilities in Arizona and California\n• Baidu wants to create the Android of autonomous driving cars\n• And, we all know about Apple’s car project\n\nThis all makes sense. Given the explosion we’ve observed in artificial intelligence in the past 5 years and given moving from place to place is a key example of what AI will make cheap, this is expected.\n\nHowever, we’re likely still a few decades away from getting this right. To understand why, let’s take a look at the 5 levels of automation as defined by the US Department of Transportation’s National Highway Traffic Safety Administration.\n\n![IMG_3355.JPG](https://steemitimages.com/DQmZbNNh9ayLdDPz4KKvcL8RtB6rSAfnTmgh6VH5HGsazrs/IMG_3355.JPG)\n\nBut, roads dominated with autonomous cars are a few decades away — we’re likely at the excitement phase of the hype cycle;\nAs linear as the flow between the five levels looks, the challenge in building these systems actually looks closer to this.\n\n![IMG_3356.JPG](https://steemitimages.com/DQmVacH1u8BusUSeUoayEvvqg4F7q4wosjdgyFDFC7bjb48/IMG_3356.JPG)\n\nThese point to the challenges that lie ahead for autonomous cars. First, it is very hard to create fully autonomous cars — even in controlled environments. John Deere has been trying to build self driving tractors for the last 20 years and progress has been slow and hard.\n\nSecond, the challenge is going to be going from Level 2 systems to Level 4 systems. NASA has done decades of work involving humans overseeing Level 3 systems and the results are not promising. We just don’t have the attention span required to do this right. And, for all the comparisons with piloting airplanes, response times on the road are much quicker. Car makers get this — but this doesn’t make the task any easier.\n\nNext, the period of transition to autonomous cars isn’t going to be easy. It would be a lot easier if we just replaced all human driven cars with autonomous cars. But, given that isn’t going to happen, we’re going to have many regulatory challenges to deal with. How safe will we require these cars to be? How will an autonomous car navigate ethical questions as it is heading for a crash because of an error from a human driven car? And so on.\n\nFinally, as Ben Evans beautifully chronicles in another seminal post, there are far reaching second order consequences of cars. Here are a few examples of these consequences.\n\n![IMG_3357.JPG](https://steemitimages.com/DQmPwyJFX5eahhVfqsJXojo5yF8ELhNkpQFJWYrQfAWgc9D/IMG_3357.JPG)\n\nWhen autonomous cars finally become the norm, we’ll have a lot of existing systems screaming for change. It will take a while, however.\n\nElectric vehicles, on the other hand, deserve the hype;\nIn 2016, solar energy was available at the same price or cheaper than fossil fuels in more than 30 countries. Investment in solar naturally trended up.\n\n![IMG_3358.PNG](https://steemitimages.com/DQmY9iSsxiUiiSBC6DEFWTaBT8Bk7xh6b2Mun8yGTeYjUU7/IMG_3358.PNG)\n\nYou know solar has entered the mainstream when you see Ikea announcing a solar panel product.\n\n![IMG_3359.JPG](https://steemitimages.com/DQmTTf9oz86jXgXS742aJYm6z41tQ1u9g9PQkmEJ8X2gmpW/IMG_3359.JPG)\n\nAll forecasts seem to point to 2035–2040 when we move completely away from internal combustion engines. But, in my (unqualified) opinion, we’ll see roads dominated by electric vehicles in a decade. And, that’s exciting.\n\nRide sharing deserves the hype too — and Didi is on a tear;\nI’ve barely spent time on ride sharing because their potential is obvious for those who’ve used the likes of Uber/Lyft/Ola, et al. Car owners often reluctantly buy cars in cities and these ride sharing services increase the reluctance to do.\n\nMost of the news around ride sharing has revolved around Uber’s implosion in the past six months. Lyft, meanwhile, has used the opportunity to beef up its autonomous car partnerships. There’s a close relationship between ride sharing networks and all the experimentation around autonomous cars because of the following two step loop —\n\nFirst, ride sharing networks have, well, network effects. So, once they reach a certain size, they become hard to dislodge. Case in point — Uber’s continued dominance despite all the negative press this year. This lends itself to a few location specific giants. Second, these giants will have fleets of cars that could all be converted into a massive network of self driving cars that would be easily accessible to users.\n\nThere are a collection of contenders in the ride sharing game. Uber and Lyft are the obvious ones if you’re in the west. Google is playing the game via its partnership with Lyft and with Waze’s car pooling feature. But, globally, I’m long Didi Chuxing.\n\nIn the race to dominate ride sharing, Uber raised massive amounts of funding and attempted to obliterate its rivals. Didi, on the other hand, took a different approach. It first merged with its biggest rival in China, then persuaded Uber to get out of the country (in return for a 20% stake) and has since been using its war chest of funds to invest in ride sharing networks in South East Asia (Grab), the Middle East (Careem), Europe and Africa (Taxify). Didi may be creating the ultimate network of ride sharing services.\n\nFor the longest time, ride-sharing seemed to be a battle between two opposing styles personified by Travis Kalanick of Uber and Jean Liu of Didi. While Travis focused on a testosterone fueled fight, Jean Liu used her considerable deal making acumen and an almost collaborative approach to competition to sway the pendulum decisively toward Didi.",
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      "author": "budywon",
      "permlink": "self-driving-road-signs-automotive-news-23",
      "title": "Self-Driving Road Signs - Automotive News #23",
      "body": "![IMG_3351.JPG](https://steemitimages.com/DQmevvDq9pG664fyaMfRbowoKwmJ7uyjxCtZJKswjuRoUGX/IMG_3351.JPG)\n\nhttps://medium.com/self-driving-cars/self-driving-road-signs-531b20d7ac0a\n\n3M is developing road signs that have specially printed bar codes for self-driving cars, according to Business Insider. This is a clever entry in the vehicle-to-infrastructure communication field.\nOften that’s thought of as infrastructure and vehicles communicating back and forth electronically. But this approach, in which the road signs simply have specially encoded information, is much simpler and presumably cheaper.\n\nThe article is light on details of how exactly the barcode is written onto the sign, although supposedly the barcode is invisible to humans. Even without that requirement, though, you could imagine tagging each road sign with a small visible barcode, the same way canned goods have barcodes.\n\nInformation on the barcode can include the type of sign, of course, but also the GPS coordinates, which would be super-helpful for localization. Other information, about upcoming waypoints or intersections, could also be valuable.\nPretty simple, but effective, and cheap and easy to roll out.",
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      "body": "Hi! I am a robot. I just upvoted you! I found similar content that readers might be interested in:\nhttps://blog.cloudfactory.com/preparing-training-data-sets-for-autonomous-driving",
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      "parent_permlink": "automotive",
      "author": "budywon",
      "permlink": "autonomous-vehicles-depend-on-good-data-automotive-news-26",
      "title": "Autonomous Vehicles Depend on Good Data - Automotive News# 26",
      "body": "It helps you to have basic understanding how cars drive themselves.\n\nQuoted from:\nhttps://blog.cloudfactory.com/preparing-training-data-sets-for-autonomous-driving?utm_campaign=Micro-M\n\nAutonomous Vehicles Depend on Good Data: Here's How We Help\n\nOne of the coolest things for everyone working at CloudFactory is the amazing technology our customers are creating. Their spirit of innovation inspires each of us to push our own boundaries and solve new problems by thinking differently. We get to support our customers as they quite literally create the future, and that is a novelty that never wears off.\n\nOne area we’re particularly excited about is the development of AI for autonomous driving vehicles. Whether it’s working with a customer like Embark, who is creating the first ever autonomous driving trucks, or drive.ai, who is using deep learning to “build the brain of self-driving vehicles”. These are ambitious efforts that could lead to a safer, cleaner, and more productive future.\n\nWe help these customers by taking the painstaking tasks associated with preparing the massive datasets they need to fuel their algorithms. Often it comes in the form of processing thousands upon thousands of raw images, by enriching that data with labeled bounding boxes, providing scene annotation for semantic understanding, or providing 3D point cloud annotations. All of these applications hold the promise of making machine vision algorithms safer, which in turn, brings them one step closer to reality.\n\nRecently, the New York Times featured an article showcasing how the technology works, who the players are, and what role they’re playing. We thought it would be interesting to examine how data scientists and engineers are creating an autonomous driving future.\n\nThe fact is, the future is here, as the article states…\n\n“Autonomous cars have arrived. Uber has a fleet operating in Pittsburgh, Google’s parent company is closer to coming to market with its driverless project and the federal government has begun to issue guidelines on how the cars should work.” (From NYT Article)\n\nHow Car Drives Itself\n![IMG_3366.PNG](https://steemitimages.com/DQmchKqfKWMHRXkT4Lz9KRYqPDvR8rKCmeWBQ5FBraoYnmM/IMG_3366.PNG)\n\n95% of animals use vision to navigate their environment, and those pushing the boundaries of AI believe their technology should do the same. We help our customers prepare acccurate datasets for their computer vision algorithms. For instance, take the camera on top of the car in the image above. The raw images contain objects like road signs, traffic lights, or moving objects like people. To train both their recognition and decision-making algorithms we take their raw data and deliver it back with bounding boxes and labels that accurately categorize and identify those objects. These enriched images are then used to “teach” autonomous systems how to recognize the objects, and how to decide on the appropriate response.\n\nLabeled Bounding Boxes\nThe car’s sensors gather data on nearby objects, like their size and rate of speed. It categorizes the objects — as cyclists, pedestrians or other cars and objects — based on how they are likely to behave. (From NYT Article)\n\n![IMG_3367.JPG](https://steemitimages.com/DQmYECcsSkqXCB2hGtonBD3JaeRBnpQsxsMQRXSgJXY7Qt1/IMG_3367.JPG)\n\nFor those using lidar, an active laser sensor system that illuminates the car’s surroundings, creating what are known as point clouds, we take those images and provide 3D annotations. This lidar data is annotated to provide accurate georeferenced coordinates that are used to replicate the reality of a car’s surroundings, creating the AI that makes the technology safer and more reliable. This enables our customers to build better learning systems, and ultimately safer autonomous vehicles.\n\n![IMG_3368.PNG](https://steemitimages.com/DQmTJtHpkpgJE5S8PTeSvKaozm1B4CrX7wEjg1RLJi2tMRn/IMG_3368.PNG)\n\n3D Point cloud annotation\nAnother way we help our customer is by providing enriched data for contextual situations, otherwise known as semantic understanding. We help take image understanding from low-level image features to high level semantics by identifying objects and events providing situational understanding to help our customers create more advanced learning systems.\n\n![IMG_3369.PNG](https://steemitimages.com/DQmaBq6tHcNVtTQtPwuuZjDK8fhm2kbEdBjctzKHBL5xLQR/IMG_3369.PNG)\n\nSemantic Understanding\nThese are just a few of the ways we’re helping our customers define the future of autonomous vehicles. The ugly truth is that some data scientists spend close to 80% of their time on data preparation. This is an expensive proposition when you consider that their time could be used far more efficiently by solving complex problems, instead of processing thousands of images. We’re here to free them up by offering a dependable and elastic way to prepare accurate datasets so they can focus on building incredible technology.\n\n![IMG_3366.PNG](https://steemitimages.com/DQmchKqfKWMHRXkT4Lz9KRYqPDvR8rKCmeWBQ5FBraoYnmM/IMG_3366.PNG)",
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      "parent_permlink": "automotive",
      "author": "budywon",
      "permlink": "10-things-flying-cars-are-killing-in-5-years-automotive-news-25",
      "title": "10 Things Flying Cars Are Killing In 5 Years - Automotive News# 25",
      "body": "Flying car is no longer a dream, this isn’t science fiction. A number of start-ups as well as big aerospace firms are trying to build personal aircraft you could fly around town even there are plenty of questions to introduce flying cars in your real life.\n\nQuoted from:\nhttps://medium.com/blockchainaero/10-things-flying-cars-are-killing-in-5-years-81da202a9fd2\n\n10 Things Flying Cars Are Killing In 5 Years\n\n![IMG_3363.PNG](https://steemitimages.com/DQmQ4mUu6M3LWF5ZFjJk4YegHYMD5W8uy1E3ALc3CjSwFHj/IMG_3363.PNG)\n\nToday you can become a member of Blockchain.aero Community and get the Bartini flying cars or, better, the flight itself.\nHow will the flying cars (e-VTOLs) change the world in the nearest future?\n10 things are on the verge of extinction.\n\nI. REAL ESTATE\nProperty prices reflect proximity to places of importance to you.\nThe only thing to matter in the future — the beautiful view. Decentralize cities. Ruralism instead of urbanism\n\nII. STRESS\nHassle commute and traffic jams don’t chill.\nImagine there is no traffic. The only jams are marmalade and music.\n\nIII. AIR POLLUTION\nVolvo announced that all of their cars from 2019 would be electric.\nAir-taxis will be electric too. That will make the future cities cleaner and greener!\n\nV. FLATLAND THOUGHT\nHuman perception is transformed by the imagery we contemplate. We move flat, most of the time.\nWatch top-down more often. 3D heights to your mind! “God-view mode” on!\n\nVI. NON-USE VALUE\nPeople do not need things — they need their functions. Owners of cars use only 3–6% of vehicles’ time and value.\nRidesharing increases the effectiveness of air-taxi fleets. The autopilot will make it even more affordable.\n\nVII. HUMAN FACTOR\nFirst flying cars will augment a trained pilot. But further, await the AI-powered and computer-vision driven vehicles.\nStats tell us that human error is involved in 80–95% of car accidents.\nAutonomous air-commute will be safer.\n\nVIII. SEDENTISM\nHigh availability of urban and long-distance flights will cause more people to become nomads — digitally, locally and globally.\nMove away from the familiar and approach the unusual. The speed of travel is the indicator of freedom.\n\nIX. GDP LOSS\nHours and hours are wasted every day. They become days and weeks spent in traffic.\nMultiply them by population, average pay, and you will get the annual loss to the world economy.\nLet’s become productive!\n\nX. VANITY FAIR\nThere is a small two-way street in the central Stockholm. Every weekend high profile individuals drive it slowly to show off their expensive muscle cars.\nWho cares about public image while leaping overhead?\nJust move from A to B!\n\n![IMG_3364.PNG](https://steemitimages.com/DQmRGXdEfgyP2ym8RRN4PM8UU3qaPigwLRrp7piT1KzrFdw/IMG_3364.PNG)\nHere is a quick review of extremes that shall be transformed gradually in the following five years and beyond.\nDrive dreams to action and join Blockchain.aero community.\nBring closer the flying cars future.",
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      "title": "From Daimler to Didi — the car revolution - Automotive News# 24",
      "body": "@@ -50,17 +50,16 @@\n ing link\n-e\n  to unde\n",
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      "author": "budywon",
      "permlink": "from-daimler-to-didi-the-car-revolution-automotive-news-24",
      "title": "From Daimler to Didi — the car revolution - Automotive News# 24",
      "body": "It's very nice post that I quoted from the following linke to understand the history of automotive technology and what to be happened in the future.\n\nhttps://medium.com/@alearningaday/from-daimler-to-didi-the-car-revolution-e33bf84b81ec\n\nFrom Daimler to Didi — the car revolution\nIn his fantastic book, Sapiens, Yuval Noah Harari notes — “The most important things that happened in the Industrial Revolution was not the discovery of this or that particular raw material or energy source, but, the new understanding of humans that they are in fact surrounded by enormous, almost limitless quantities of energy and raw materials. The main thing we really need to do is to find and invent ways to harness and control all this energy and raw materials. What is really lacking is not energy, but ways to harness it. Over the last few centuries, every few years, or decades, scientists and engineers have managed to discover new sources of energy, new raw materials and new ways of harnessing them for our needs.”\n\nSo, our journey has human beings has involved harnessing various sources of energy and continually improving efficiency. We first heated coal and used it to power steam engines and then moved to petroleum, natural gas and used electricity to light up our world.\n\nA key use of all this energy was to transport people and things. And, that tale began with the Paris-Rouen race for horseless carriages organized by the “Le Petit Journal.” The 102 entrants included vehicles powered by steam, petrol, electricity, compressed air and hydraulics. Only 21 qualified for the 126km (78-mile) race, which attracted huge crowds. The vehicle below was powered by an engine built by a little known company called “Daimler.”\n\n![IMG_3352.JPG](https://steemitimages.com/DQmNmFxG3ASDDXw9xzCZFKwYEVpVTcyQV7NMcNzxqFSPtPY/IMG_3352.JPG)\n\nThe clear winner of the race was the internal combustion engine. As The Economist beautifully put, over the next century it would go on to power industry and change the world.\n\nThe internal combustion engine;\nIt is important to start with the internal combustion engine because it helps us understand why the next two decades will change the transportation industry and, consequently, our lives. This was US patent #2,408,298 awarded on September 24, 1946 for “The Cummins Diesel Engine.”\n\n![IMG_3353.PNG](https://steemitimages.com/DQmZMBua9voTKPUELP8xmtFAQuFDSP3hqxxaJhuvc8CKx7S/IMG_3353.PNG)\n\nThe internal combustion engine is a beautiful combination of pistons, gears, rods and other parts — 2000 in number. Of course, these parts bring wear and tear with them. And, this wear and tear that has created a massive industry around servicing cars. An intriguing article by Seth Miller on Newco Shift (as per usual, all links at the end) shows why this matters.\n\nBelow is a list of the most common vehicle repairs from 2015:\n• Replacing an oxygen sensor — $249\n• Replacing a catalytic converter — $1,153\n• Replacing ignition coil(s) and spark plug(s) — $390\n• Tightening or replacing a fuel cap — $15\n• Thermostat replacement — $210 \n• Replacing ignition coil(s) — $236\n• Mass air flow sensor replacement — $382\n• Replacing spark plug wire(s) and spark plug(s) — $331\n• Replacing evaporative emissions (EVAP) purge control valve — $168\n• Replacing evaporative emissions (EVAP) purging solenoid — $184\n\nAnd this list raises an interesting observation: None of these failures exist in an electric vehicle.\n\nThe electric vehicle drivetrain contains just about 20 parts. And, it doesn’t take a genius to conclude that a system with 100x fewer moving parts will be more reliable.\n\nSo, we now live in a world where a Tesla has lasted more than a million times while most cars with internal combustion engines last only 150,000 miles. This is, of course, just the beginning. Volvo has already become the first major car manufacturer to commit to phasing out all traditional engines and gas powered vehicle in 2019.\n\nThe 3 shifts;\nBen Evans wrote a seminal post on how to think about cars in 2015. In it, he made 2 important points. First, he called out the fact that there are 3 shifts happening that all feed into each other.\n 1. Mechanical to Electric \n 2. Owner to Shared\n 3. Driven to Autonomous\n\nSecond, he explained why cars get such a large share of technology press — market size.\n\n![IMG_3354.PNG](https://steemitimages.com/DQmQbp7u1q1ErfzmzS75h9mHWhqnBGDVwwL3zEPPWfncs1s/IMG_3354.PNG)\n\nThis chart should be taken with a grain of salt because the move to shared cars will reduce the size of this market. But, we’re nevertheless still talking about a massive market that would be susceptible to monopoly/duopoly/oligopoly via network effects in a world with large autonomous car fleets.\n\nWe started discussing why the move from mechanical to electric makes sense. Now, let’s take a leap past the move to shared cars to discuss autonomy.\n\nEverybody wants to make a self driving car\nFor the longest time, the only show in town where self driving cars were concerned was Google’s self driving car project. Then, we suddenly saw an explosion in autonomous driving technology. It started with news about Uber, Lyft, and then now involves all of the traditional car companies. To give you a sense of how widespread the global self driving project is, here are a few snippets from the past few months -\n• Cadillac has begun selling cars with autonomous driving capabilities\n• Bosch is building a $1.1B self driving chip plant\n• Jaguar is working with Lyft on autonomous driving tech — who also work with General Motors and Waymo/Google\n• Cruise (acquired by GM) is already running an autonomous ride-hailing service in SF\n• Lyft and Nutonomy are working on a project in Boston (Lyft’s Business Development team have been busy)\n• Nutonomy and Peugeot team up in Singapore\nIntel has autonomous car facilities in Arizona and California\n• Baidu wants to create the Android of autonomous driving cars\n• And, we all know about Apple’s car project\n\nThis all makes sense. Given the explosion we’ve observed in artificial intelligence in the past 5 years and given moving from place to place is a key example of what AI will make cheap, this is expected.\n\nHowever, we’re likely still a few decades away from getting this right. To understand why, let’s take a look at the 5 levels of automation as defined by the US Department of Transportation’s National Highway Traffic Safety Administration.\n\n![IMG_3355.JPG](https://steemitimages.com/DQmZbNNh9ayLdDPz4KKvcL8RtB6rSAfnTmgh6VH5HGsazrs/IMG_3355.JPG)\n\nBut, roads dominated with autonomous cars are a few decades away — we’re likely at the excitement phase of the hype cycle;\nAs linear as the flow between the five levels looks, the challenge in building these systems actually looks closer to this.\n\n![IMG_3356.JPG](https://steemitimages.com/DQmVacH1u8BusUSeUoayEvvqg4F7q4wosjdgyFDFC7bjb48/IMG_3356.JPG)\n\nThese point to the challenges that lie ahead for autonomous cars. First, it is very hard to create fully autonomous cars — even in controlled environments. John Deere has been trying to build self driving tractors for the last 20 years and progress has been slow and hard.\n\nSecond, the challenge is going to be going from Level 2 systems to Level 4 systems. NASA has done decades of work involving humans overseeing Level 3 systems and the results are not promising. We just don’t have the attention span required to do this right. And, for all the comparisons with piloting airplanes, response times on the road are much quicker. Car makers get this — but this doesn’t make the task any easier.\n\nNext, the period of transition to autonomous cars isn’t going to be easy. It would be a lot easier if we just replaced all human driven cars with autonomous cars. But, given that isn’t going to happen, we’re going to have many regulatory challenges to deal with. How safe will we require these cars to be? How will an autonomous car navigate ethical questions as it is heading for a crash because of an error from a human driven car? And so on.\n\nFinally, as Ben Evans beautifully chronicles in another seminal post, there are far reaching second order consequences of cars. Here are a few examples of these consequences.\n\n![IMG_3357.JPG](https://steemitimages.com/DQmPwyJFX5eahhVfqsJXojo5yF8ELhNkpQFJWYrQfAWgc9D/IMG_3357.JPG)\n\nWhen autonomous cars finally become the norm, we’ll have a lot of existing systems screaming for change. It will take a while, however.\n\nElectric vehicles, on the other hand, deserve the hype;\nIn 2016, solar energy was available at the same price or cheaper than fossil fuels in more than 30 countries. Investment in solar naturally trended up.\n\n![IMG_3358.PNG](https://steemitimages.com/DQmY9iSsxiUiiSBC6DEFWTaBT8Bk7xh6b2Mun8yGTeYjUU7/IMG_3358.PNG)\n\nYou know solar has entered the mainstream when you see Ikea announcing a solar panel product.\n\n![IMG_3359.JPG](https://steemitimages.com/DQmTTf9oz86jXgXS742aJYm6z41tQ1u9g9PQkmEJ8X2gmpW/IMG_3359.JPG)\n\nAll forecasts seem to point to 2035–2040 when we move completely away from internal combustion engines. But, in my (unqualified) opinion, we’ll see roads dominated by electric vehicles in a decade. And, that’s exciting.\n\nRide sharing deserves the hype too — and Didi is on a tear;\nI’ve barely spent time on ride sharing because their potential is obvious for those who’ve used the likes of Uber/Lyft/Ola, et al. Car owners often reluctantly buy cars in cities and these ride sharing services increase the reluctance to do.\n\nMost of the news around ride sharing has revolved around Uber’s implosion in the past six months. Lyft, meanwhile, has used the opportunity to beef up its autonomous car partnerships. There’s a close relationship between ride sharing networks and all the experimentation around autonomous cars because of the following two step loop —\n\nFirst, ride sharing networks have, well, network effects. So, once they reach a certain size, they become hard to dislodge. Case in point — Uber’s continued dominance despite all the negative press this year. This lends itself to a few location specific giants. Second, these giants will have fleets of cars that could all be converted into a massive network of self driving cars that would be easily accessible to users.\n\nThere are a collection of contenders in the ride sharing game. Uber and Lyft are the obvious ones if you’re in the west. Google is playing the game via its partnership with Lyft and with Waze’s car pooling feature. But, globally, I’m long Didi Chuxing.\n\nIn the race to dominate ride sharing, Uber raised massive amounts of funding and attempted to obliterate its rivals. Didi, on the other hand, took a different approach. It first merged with its biggest rival in China, then persuaded Uber to get out of the country (in return for a 20% stake) and has since been using its war chest of funds to invest in ride sharing networks in South East Asia (Grab), the Middle East (Careem), Europe and Africa (Taxify). Didi may be creating the ultimate network of ride sharing services.\n\nFor the longest time, ride-sharing seemed to be a battle between two opposing styles personified by Travis Kalanick of Uber and Jean Liu of Didi. While Travis focused on a testosterone fueled fight, Jean Liu used her considerable deal making acumen and an almost collaborative approach to competition to sway the pendulum decisively toward Didi.",
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      "permlink": "self-driving-road-signs-automotive-news-23",
      "title": "Self-Driving Road Signs - Automotive News# 23",
      "body": "![IMG_3351.JPG](https://steemitimages.com/DQmevvDq9pG664fyaMfRbowoKwmJ7uyjxCtZJKswjuRoUGX/IMG_3351.JPG)\n\nhttps://medium.com/self-driving-cars/self-driving-road-signs-531b20d7ac0a\n\n3M is developing road signs that have specially printed bar codes for self-driving cars, according to Business Insider. This is a clever entry in the vehicle-to-infrastructure communication field.\nOften that’s thought of as infrastructure and vehicles communicating back and forth electronically. But this approach, in which the road signs simply have specially encoded information, is much simpler and presumably cheaper.\n\nThe article is light on details of how exactly the barcode is written onto the sign, although supposedly the barcode is invisible to humans. Even without that requirement, though, you could imagine tagging each road sign with a small visible barcode, the same way canned goods have barcodes.\n\nInformation on the barcode can include the type of sign, of course, but also the GPS coordinates, which would be super-helpful for localization. Other information, about upcoming waypoints or intersections, could also be valuable.\nPretty simple, but effective, and cheap and easy to roll out.",
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      "body": "A wonderful post. Continue in the same spirit. I like and thanks",
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      "title": "Dongdaemun Design Plaza (DDP) - The most iconic landmark of the Korean design industry",
      "body": "Dongdaemun Design Plaza (DDP) is the most iconic landmark of the Korean design industry. Located at the center of the Dongdaemun area, the DDP will serve as a key venue for design-related shows and conferences, exhibitions, and other events and gatherings, bringing new milestone to the modern architecture in the country that proudly combines art, technology, economy and cultural.\n\n![IMG_3294.JPG](https://steemitimages.com/DQmaar38EB8ZdPMV9BcXfriBCHGRqoKf2ywWTBN1pNrtjNw/IMG_3294.JPG)\n\nDesigned by world renowned architect, Zaha Hadid, DDP is the world’s largest atypical architecture. DDP comprises of many section including Design Museum, Design Exhibition Hall, Design Playground, Design Pathway, Pathway Cafe, Design Shop, Art Hall, Oullim Square: Cave Stairways, and more. Seminars, exhibitions, fashion week, galleries are held on specific time too.\n\nArt Hall, Museum, Design Lab, Design Market, and Dongdaemun History and Culture Park. The Art Hall is the primary launch pad for the Korean creative industry. The hall is a key venue for conventions, trade shows, exhibitions, fashion shows, concerts and performances. The Museum Hall brings together Korean design and global trends. The Museum Hall is comprised of five sections: Design Playground, Design Dulle-gil(trail), Design Museum, Design Exhibition Hall, and the Design Rest Area. The Design Lab serves as an incubator for rising Korean and international creative product designers. The Design Market is a multipurpose space that combines culture, experiences and shopping. This hall is open 24 hours a day to provide added convenience to visitors of Dongdaemun Market, the town that never sleeps. \n\nThe cutting-edge technology is applied to DDP, putting together 54122 pieces of aluminium panels in different sizes and patterns to form beautiful curves that stood sturdily during daytime, twinkle softly as night falls. We were speechless when we browsed through introduction of DDP Plaza, only to know that there is no straight lines or walls in the external building installation.\n\n![IMG_3265.JPG](https://steemitimages.com/DQmUVv7twKbJx6XMkWajoFwqmQzjzNtomWqwZrdAdxmccBP/IMG_3265.JPG)\n\n![IMG_3264.JPG](https://steemitimages.com/DQmcuBLM6vg8chAEwTJYNnHetVXNgEu2pVSwwonv64wLuoG/IMG_3264.JPG)\n\n![IMG_3266.JPG](https://steemitimages.com/DQmZTwZc7XXoVswJTWjoc6ZpiRyMfgnZGwuXi5qXW8hvdtV/IMG_3266.JPG)\n\n![IMG_3267.JPG](https://steemitimages.com/DQmawJDmCv6CThgQN5971FTijRLpaJLAyJsxtEPTaHn38N4/IMG_3267.JPG)\n\n![IMG_3262.JPG](https://steemitimages.com/DQmPRRqtFFbw8QsXjAA3bBNrnvhmfb9L8okn4oPSvkGZBja/IMG_3262.JPG)\n\n![IMG_3277.JPG](https://steemitimages.com/DQmTmWj5ApbdU8qqsg4iD83vNvSdTjgiwJdRgszm3Uz6AKr/IMG_3277.JPG)\n\n![IMG_3280.JPG](https://steemitimages.com/DQmTzpF7h1KjDWjXYHojmsC4pWF5wfauBeoyZk7S3vLvxW5/IMG_3280.JPG)\n\n![IMG_3281.JPG](https://steemitimages.com/DQmbqf9EL8rBB6z43VogRCorRHsWuyGrxg9hbjT4aUuTXmC/IMG_3281.JPG)\n\n![IMG_3275.JPG](https://steemitimages.com/DQmXHkwp2kRKJb4Vmt2qoDebDnhxVGEV5fE9dtinEN3wnsP/IMG_3275.JPG)\n\n![IMG_3274.JPG](https://steemitimages.com/DQmY3SXp9PRuBfMW7Go4vCH9cyuQgaVvakx9M9Gqrd1612y/IMG_3274.JPG)\n\n![IMG_3271.JPG](https://steemitimages.com/DQmcKXRXCFWPHENZwSsSespeyuMXYWwiUf9bQfKN92RcPS9/IMG_3271.JPG)\n\n![IMG_3273.JPG](https://steemitimages.com/DQmW1Jp7QS4ik7p8LuPWpLPPWNVbnqLBGNTZWAGY12SQ1PG/IMG_3273.JPG)\n\n![IMG_3272.JPG](https://steemitimages.com/DQmaqHUvefLWNjhgQCSCbWyKayp9rgAPMYvdSDVvtips5GH/IMG_3272.JPG)\n\n![IMG_3269.JPG](https://steemitimages.com/DQmdqJMju65jhJTP7bA9u2Venp65Ko8v3Wk6nzPhsrdsZsE/IMG_3269.JPG)\n\n![IMG_3287.JPG](https://steemitimages.com/DQmPkUM7xNSY1apJ51JyS7Fb7GMqSCjz7gAHAvpzLJBM4ji/IMG_3287.JPG)\n\n![IMG_3286.JPG](https://steemitimages.com/DQmSwBk8PJpM1UxCMZ5F9zwpW9TtB4MdaGB2gGc4SXciRJe/IMG_3286.JPG)\n\n![IMG_3292.JPG](https://steemitimages.com/DQmThHVvB9VonBEKAoerLkZ2Ncw2SScn9P62aXmFx1vr7zR/IMG_3292.JPG)\n\n![IMG_3289.JPG](https://steemitimages.com/DQme5JnqGant48kQ3rPtNC9NPqVGh82vCndgAmF7byVcFAY/IMG_3289.JPG)\n\n![IMG_3293.JPG](https://steemitimages.com/DQmczBfaZ4wnF7QHRfVRSvBFQZy1YGW1Rj5vUJnHtHGzobH/IMG_3293.JPG)\n\n![IMG_3295.JPG](https://steemitimages.com/DQmQ8HbKW69XDoqvdesBxdX7AfXgUA3eP9L8UzWUAwR6Q2J/IMG_3295.JPG)\n\n![IMG_3296.JPG](https://steemitimages.com/DQmPNCJoGswKyL3CNWtVkeLDVHcfn2JPb9CSpQ37EfSMWnH/IMG_3296.JPG)\n\n![IMG_3290.JPG](https://steemitimages.com/DQmT2je4QVqjDdyTeoHzzfE9mBpno7hNcUthfKMu4fFXFHA/IMG_3290.JPG)\n\n![IMG_3291.JPG](https://steemitimages.com/DQmS3XC3BQR6sLWovxXBKAUj4UBBsgqzUr5Y6YQY3F8stjL/IMG_3291.JPG)\n\nEverywhere is a feast for eyes, even the staircases and everyone is a photographer here. Walk, jump, squat, sit, run, turnaround but don’t fall down, you are free to capture the best curves of DDP, day, or night.\n\nIn short, being the world’s largest three-dimensional armophous architectural structure and an attraction listed by New York Times’ as one of the “52 Places to Go in 2015”, there is no reason for not visiting this stunning Dongdaemun Design Plaza when you are in Korea.\n\nI strongly recommend you to spend a day in Dongdaemun area, so that you can shop for fashions at Dongdaemun wholesale markets, the so-called 24hours, never sleep, shop-till-you-drop-streets; Dongdaemun Cultural & Historical Park and DDP Plaza in one go. You can also enjoy buying clothes in shopping complex such as Migliore, Doota! and Hello AM PM. All these tourists attractions are linked together.",
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