 Hi, thanks to be here. I know it's late. I'll keep it short and simple as well because if you were in the previous session and a few researchers from Cedar and they already mentioned some of the topic that we're going to give, my name is Lena Xu and I'm from UCDM Lecture in Computer Science and do collaboration with Cedar as well and it's really interesting research and projects going on in Cedar at the moment and you've probably seen this so I'll just skip this at the moment. And what is the Internet of Things? And I search online and this is the official definition about IoT. So I'm going to read it. IoT refers to the network interconnection of everyday objects which are often equipped with ubiquitous intelligence. So that's the definition. But for us, like for our normal human being, what IoT could be, normally we look at IoT Internet of Things in two ways. One is to focus on the things. So things could be the couch, could be the floor, could be the chair, could be the door, could be the window. Could be everything. Some of the things they are able to connect to the Internet by default, like our phone, like our computer. But some of them, they can't connect to the Internet by themselves, like the chair. So in order to let them gain the ability, we equipped sensors or IoT devices into those objects so they can connect to the Internet. So there's one way to look at things, Internet of Things. Another one is looking at focus on the Internet. So we connect everything together. The purpose is to use those things to collect data. And so we can use the data to predict analysis on the data. So like us, like any user, we can gain power as well. That's why along with my title, see the invisible and predict and predictable because the Internet allows us to gain that power. And as you can see from the previous picture as well, the number of devices is hugely dramatically increased. And here is the specific figure. At the moment, by 2020, by Cisco's analysis, each person going to have 6.6 devices. And by IDC, and the number even bigger, which is almost 28 devices associated to one person. This can be easily predicted because imagine 10 years ago how many devices you have that can connect to the Internet and how many you have at the moment. So this is going to be the trend for the next few years as well. And why? Why we need so many IoT devices? For example, the IoT market for different companies, they did a survey especially focused on the mid-market companies in the US. Mid-market companies in the US, they're the main power for the successful for US economic. So this from this figure, you probably can see only 6%, they're not considering or they're still waiting for IoT solutions that are not in this area yet. But over 90% companies, they already deployed IoT solutions into their different scenarios. Like among all of these, 90%, 20, almost 20% already have matured IoT solutions developed. What they are using these IoT solutions for, they're basically using first on first perspective, they're trying to increase the quality of service, increase the productivity and increase the experiments of their employees and also decrease the failure rate, decrease the cost, the waste through all these solutions and they can finally increase their revenue. And this is the one sensor normally we see. Of course, they came from different shape, different size as well, color maybe as well. And this is the trick we use to make our things to gain super power, not super power, gain more power. So if we deploy it at home and our home will become smart, that's why we call it smart home. And if we deploy it in the farm, farm will be smart and we call it smart farm and in the city we have smart cities. So that's the sensor, that's the little thing can do for us. And I'm going to give a few examples. The first one is predict maintenance. One of my colleagues mentioned this. So I would like to see this predict maintenance as a game between you, between the end operator or maintainer and the machine itself. A machine, especially in the industry pipeline, there's so many parts, there's components in this single machine. Each part, every single part can go wrong. There's like a demon in this machine. And this is the game between the demon and you, you have to catch it before actually it can do any damage to your machine. So it's just one solution is you send one person to go to check the machine every day and everything or even more frequent. But this is not ideal solution. So we want to sit down on our chair and look at the computer, open your computer and see the health condition of the machine and all this equipment. So you don't need to actually go there have a look. And if you actually be there and you can see what's going on inside your machine, inside the pipe, inside the lines, wires through your digital screen. This is predict maintenance will bring us more convenience. And also because this is game, you want to catch the demon before it actually happens to avoid the failure. And it's also will reduce the cost to prepare the machine, prepare the pipeline. And another one is a connected health. So this is one of the topic I am involved in as well. And so failure, falling detection, patient monitoring health in healthcare in smart health scenario being talked about. Imagine if you're at home, a patient is at home and the dart, his dart and his activities and his health condition is monitored and tracked all the time. And those data will send it to the doctor or hospital. Based on those data analysis, you can get a personalized specialized description. This will highly improve the health condition of the patient. And another one is a smart man care, physical activity detection. So those things will help people to stop injury before it actually happens. Decrease the crisis. And another one, because the price of the IoT devices, they are decreasing and we can wildly deploy it in our home and the human body. We can use the connected health. And all of these shareholders put them together and we have this whole picture to benefit each person in this connected health scenario. Like we have hospitals, we have health cavers and we also have the patient. So another one is smart transportation. So one example about smart transportation is smart parking. Smart parking now is not just about found the empty parking space and it's also about how you park. We don't want something like this happened. We want each car, they can park into the exact parking lot and save a lot of space and look better as well. So something like this. And if we have something like this more popularly involved, so there's different layers, which layer your car should go. This depends on user behavior, on the driver's behavior. How long are you going to stay in the car park? If you're going to stay half an hour, one hour, so lower layers will be accessed more frequently in order to reduce the energy consumption and the time consumption as well. This is the only one special scenario I want to introduce for smart parking. And also smart road. We have weather conditions and road is put into different locations. Like this, this type of road damage could be detect by smart road system and the bridge as well and flood. So flood detection is one of the challenge Dublin government trying to push and try to get researchers involved more as well. So next one is smart traffic control, smart traffic light control and the road lighting as well. So all of this working together will make the traffic flow more and increase the fuel efficiency and reduce, highly reduce the time spent in the traffic. And also smart back sharing. This is one of my favorites because I like the cycle in Dublin a lot. If we have more convenient back sharing scheme and we have this smart helmet, like they already proposed the solution, so this helmet, they can communicate with the cars. Cars can see the cycle is better. Even they didn't see it, the helmet will notice the car drivers of the existence of the cyclist. And also these smart lights, they can flash in different way, they can have different color in different scenario according to the traffic or according to the light condition as well. So all of this will increase the safety of cyclists. And the smart public transportation. There's always awkward situation like you run for the bus or you wait for the bus in the room for ages and the bus will just not come. And so all of these, if we can improve the coordination and the timetable, simply the timetable, and a lot of people will use public transportation. And this is what we're aiming for. If everybody's driving and the car take a lot of space, as you can see, if all of the people, we put all of the people on the bus and it's just a small space and it's more fuel and energy efficiency and bicycle is even better. So this is all we're trying to do, improve the transportation, make it smarter and also improve our environment. So we also have other use cases.